From 290f906591368839e74450a7ce667c7dc9a114d2 Mon Sep 17 00:00:00 2001 From: Felipe Mello Date: Thu, 13 Nov 2025 08:13:25 -0800 Subject: [PATCH 01/11] first --- .../tutorials/1_tau2bench_overview.md | 314 ++++++++++++++++++ .../tutorials/2_fundamentals.md | 235 +++++++++++++ .../tutorials/3_forge_current_state.md | 271 +++++++++++++++ 3 files changed, 820 insertions(+) create mode 100644 brainstorming_forge_tau/tutorials/1_tau2bench_overview.md create mode 100644 brainstorming_forge_tau/tutorials/2_fundamentals.md create mode 100644 brainstorming_forge_tau/tutorials/3_forge_current_state.md diff --git a/brainstorming_forge_tau/tutorials/1_tau2bench_overview.md b/brainstorming_forge_tau/tutorials/1_tau2bench_overview.md new file mode 100644 index 000000000..8fa665a90 --- /dev/null +++ b/brainstorming_forge_tau/tutorials/1_tau2bench_overview.md @@ -0,0 +1,314 @@ +# Part 1: Tau2Bench Overview - What Are We Building For? + +## 1.1 What is Tau2Bench? + +**Reference**: `tau2-bench/README.md`, `tau2-bench/src/tau2/evaluator/evaluator.py` + +Tau2Bench is a benchmark for evaluating conversational agents in customer service scenarios. It tests whether your RL-trained model can: +- Follow domain policies correctly +- Use tools appropriately (search databases, update records, etc.) +- Communicate effectively with users + +Example task: "Create a task called 'Important Meeting' for user_1 with description 'Quarterly planning' and deadline tomorrow." + +The agent must call `create_task(user_id="user_1", title="Important Meeting", ...)` with the right parameters, then confirm to the user. + +## 1.2 Tau2 Modes + +**Reference**: `tau2-bench/src/tau2/orchestrator.py:67-174` + +**Solo Mode** (Recommended for training): +- Agent works alone on tickets/tasks +- No user interaction +- Simpler, deterministic +- Use this for initial training + +**Normal Mode**: +- Agent + User Simulator (LLM playing customer) +- More realistic but harder + +## 1.3 Tau2 Task Structure + +**Reference**: Task files at `tau2-bench/data/tau2/domains/{domain}/tasks.json`, data model at `tau2-bench/src/tau2/data_model/tasks.py` + +Tasks are defined in JSON format: + +```json +{ + "id": "create_task_1", + "ticket": "User wants to create a task titled 'Important Meeting' for user_1", + "evaluation_criteria": { + "actions": [ + { + "action_id": "create_1", + "name": "create_task", + "arguments": { + "user_id": "user_1", + "title": "Important Meeting" + } + } + ], + "reward_basis": ["ACTION", "COMMUNICATE"] + } +} +``` + +Key fields: +- `ticket`: Initial task description +- `evaluation_criteria.actions`: Expected tool calls +- `reward_basis`: What to score (ACTION, ENV, COMMUNICATE, NL_ASSERTIONS) + +**NOTE ON EVAL**: In this case, evaluation is checking if the tool was called. In other cases, it may be having another LLM verify if the task was completed correctly. + +## 1.4 Tau2 Available Tools (Mock Domain) + +```python +# Mock domain tools for demonstration +tools = [ + { + "name": "create_task", + "description": "Create a new task", + "parameters": { + "user_id": "string", + "title": "string", + "description": "string (optional)", + "deadline": "string (optional)" + } + }, + { + "name": "update_task", + "description": "Update an existing task", + "parameters": { + "task_id": "string", + "status": "string (pending|completed|cancelled)" + } + }, + { + "name": "done", + "description": "Signal task completion", + "parameters": {} + } +] +``` + +**Production Domains**: Tau2Bench includes three main production domains with domain-specific tools, policies, and databases: +- **Airline**: Flight booking, modifications, cancellations (`tau2-bench/src/tau2/domains/airline/`) +- **Retail**: Product orders, returns, exchanges (`tau2-bench/src/tau2/domains/retail/`) +- **Telecom**: Technical support, bill payments, line management (`tau2-bench/src/tau2/domains/telecom/`) + +## 1.5 Example Multi-turn Interaction on Tau2 + +**Solo Mode Example:** + +``` +Turn 1: +Agent: Let me create that task for you. + create_task(user_id="user_1", title="Important Meeting", + description="Quarterly planning", deadline="2024-01-16") +Env: Task created with ID: task_123 + +Turn 2: +Agent: Task created successfully. Is there anything else you need? + done() +Env: Episode complete. +``` + +**Note**: `done()` signals episode end. In Normal Mode, users can also end with keywords like "bye", "thanks" (see `tau2-bench/src/tau2/orchestrator.py:171-174` for stop conditions) + +## 1.6 How Tau2 Scores Episodes + +**Reference**: Evaluation logic in `tau2-bench/src/tau2/evaluator/evaluator.py`, metrics in `tau2-bench/src/tau2/metrics/agent_metrics.py` + +Tau2Bench computes rewards based on multiple criteria: + +**1. ACTION Score** (0.0 or 1.0): +- Did agent call the right tools? +- With the right arguments (or subset via `compare_args`)? +- Order doesn't matter + +**2. ENV Score** (0.0 or 1.0): +- Is environment state correct? +- Database checks (e.g., task_id="task_2" has status="pending") + +**3. COMMUNICATE Score** (0.0 or 1.0): +- Did agent communicate required information to user? + +**4. NL_ASSERTIONS Score** (0.0 or 1.0): +- LLM-based evaluation of conversation quality (experimental) + +**Final Reward:** +```python +final_reward = ACTION_score * ENV_score * COMMUNICATE_score * NL_ASSERTIONS_score +``` + +**CRITICAL**: Episode must end with either: +- `AGENT_STOP`: Agent calls `done()` tool +- `USER_STOP`: User says stop keywords + +Otherwise: `reward = 0.0` regardless of actions! + +**Sparse Rewards**: You only get the final reward at episode end. Intermediate tool calls get `reward=0.0`. + +--- + +## 1.7 Tau2Bench Production Domains + +Tau2Bench includes three production-ready customer service domains. Each domain has its own policy, tools, database, and evaluation tasks. + +### Airline Domain + +**Location**: `tau2-bench/data/tau2/domains/airline/` +- **Tasks**: 50 tasks in `tasks.json` +- **Policy**: `policy.md` +- **Code**: `tau2-bench/src/tau2/domains/airline/tools.py` + +**What agents do**: Book, modify, and cancel flight reservations, handle refunds and compensation, manage baggage and travel insurance. + +**Example tasks**: +- Cancellation policy testing (refuse invalid cancellations) +- Membership verification for baggage allowance +- Compensation fraud detection +- Complex modifications (multiple changes at once) +- Multi-reservation management + +**Available tools**: +- `get_user_details()`, `get_reservation_details()` +- `search_flights()`, `book_flight()`, `modify_flight()`, `cancel_reservation()` +- `add_baggage()`, `get_compensation()` +- `transfer_to_human_agents()` + +**Key policy rules**: +- Basic economy flights cannot be modified after booking +- Cancellations only allowed if: within 24hrs of booking, airline cancelled, business flight, or insurance covers reason +- Max 24 hours confirmation required before database-modifying actions +- Travel insurance: $30/passenger, enables full refund for covered reasons + +**Rewards**: DB checks, ENV_ASSERTION, ACTION-based evaluation + +### Retail Domain + +**Location**: `tau2-bench/data/tau2/domains/retail/` +- **Tasks**: 114 tasks in `tasks.json` +- **Policy**: `policy.md` +- **Code**: `tau2-bench/src/tau2/domains/retail/tools.py` + +**What agents do**: Help customers return/exchange delivered orders, cancel/modify pending orders, manage payment methods and addresses, provide product information. + +**Example tasks**: +- Multi-item exchanges with specific options +- Conditional exchanges (fallback options if unavailable) +- Product information queries + multiple returns +- Pending order modifications (change color, material, etc.) +- Cross-order refunds (complex refunds across multiple orders) +- Selective returns (specific items from orders) +- Address modifications for pending orders + +**Available tools**: +- `find_user_id_by_name_zip()`, `find_user_id_by_email()` +- `get_order_details()`, `get_product_details()` +- `cancel_pending_order()`, `modify_pending_order_items()` +- `return_delivered_order_items()`, `exchange_delivered_order_items()` +- `modify_pending_order_payment()`, `modify_user_default_address()` +- `transfer_to_human_agents()` + +**Key policy rules**: +- User authentication required via email OR name+zip before any action +- Pending orders can only be cancelled/modified once +- Delivered orders can be returned or exchanged +- Product IDs ≠ Item IDs (must distinguish between catalog and specific variants) +- One order modification max - collect all changes before calling tool +- Product variants: Different options (color, size, material) = different item_ids +- Refunds: Gift card refunds immediate, others 5-7 business days + +**Rewards**: DB checks, ACTION-based, COMMUNICATE evaluation + +### Telecom Domain + +**Location**: `tau2-bench/data/tau2/domains/telecom/` +- **Tasks**: 2,285 tasks in `tasks.json` (many auto-generated variants) +- **Policy**: `main_policy.md` +- **Code**: `tau2-bench/src/tau2/domains/telecom/tools.py` (agent) and `user_tools.py` (simulator) + +**What agents do**: Provide technical support for mobile devices and connectivity issues, handle overdue bill payments, manage line suspensions, help with data refueling and plan changes. + +**Example task categories**: +- **Mobile data issues** (~1000+ tasks): Roaming problems, data mode issues, network preference problems, VPN connectivity, airplane mode interference, data usage exceeded, multiple combined issues +- **MMS issues**: MMS sending failures with various device states +- **Service issues**: Line suspension problems, network outages, connection problems + +**Example task IDs**: +- `[mobile_data_issue]user_abroad_roaming_enabled_off[PERSONA:None]` - User abroad with roaming disabled +- `[mobile_data_issue]data_usage_exceeded[PERSONA:Easy]` - User exceeded data limit +- `[mobile_data_issue]airplane_mode_on|data_saver_mode_on[PERSONA:Easy]` - Multiple issues combined + +**Available agent tools**: +- `get_customer_by_phone()`, `get_customer_by_id()`, `get_customer_by_name()` +- `get_line()`, `get_line_by_phone()`, `get_bill()`, `get_bills_by_customer()` +- `send_payment_request()`, `make_payment()` +- `refuel_data()` (max 2GB), `change_plan()` +- `suspend_line()`, `resume_line()` +- `transfer_to_human_agents()` + +**Unique user tools** (simulates user controlling device): +- `set_user_location()`, `toggle_roaming()`, `toggle_airplane_mode()`, `toggle_mobile_data()` +- `toggle_data_saver_mode()`, `set_network_preference()`, `toggle_vpn()`, `toggle_eSIM()` +- `perform_speed_test()`, `get_status_bar()`, `can_send_mms()` + +**Key policy rules**: +- Try to resolve before escalating to human agents +- Overdue bills: Check status → send payment request → customer checks request → make payment +- Line suspension: Only lift after all overdue bills paid (cannot lift for expired contracts) +- Data refueling: Max 2GB per refuel, price varies by plan +- Customer lookup: By phone, ID, or name+DOB +- Bill status types: Draft, Issued, Paid, Overdue, Awaiting Payment, Disputed +- Line status types: Active, Suspended, Pending Activation, Closed + +**Rewards**: ENV_ASSERTION (checks device state), ACTION (correct tool calls), COMMUNICATE + +**Example telecom evaluation**: +```json +{ + "actions": [{"name": "toggle_roaming", "requestor": "user"}], + "env_assertions": [ + {"func_name": "assert_mobile_data_status", "expected_status": true}, + {"func_name": "assert_internet_speed", "expected_desc": "excellent"} + ], + "reward_basis": ["ENV_ASSERTION"] +} +``` + +Success = Agent correctly diagnoses problem + user performs correct fix + environment reaches target state + +--- + +## 1.8 Key Tau2Bench References + +**Task definitions**: +- Mock domain: `tau2-bench/data/tau2/domains/mock/tasks.json` +- Airline: `tau2-bench/data/tau2/domains/airline/tasks.json` (50 tasks) +- Retail: `tau2-bench/data/tau2/domains/retail/tasks.json` (114 tasks) +- Telecom: `tau2-bench/data/tau2/domains/telecom/tasks.json` (2,285 tasks) + +**Policies**: +- Airline: `tau2-bench/data/tau2/domains/airline/policy.md` +- Retail: `tau2-bench/data/tau2/domains/retail/policy.md` +- Telecom: `tau2-bench/data/tau2/domains/telecom/main_policy.md` + +**Tool implementations**: +- Airline tools: `tau2-bench/src/tau2/domains/airline/tools.py` +- Retail tools: `tau2-bench/src/tau2/domains/retail/tools.py` +- Telecom agent tools: `tau2-bench/src/tau2/domains/telecom/tools.py` +- Telecom user tools: `tau2-bench/src/tau2/domains/telecom/user_tools.py` + +**Evaluation code**: +- Main evaluator: `tau2-bench/src/tau2/evaluator/evaluator.py` +- Metrics (pass^k): `tau2-bench/src/tau2/metrics/agent_metrics.py` +- Orchestrator (runs episodes): `tau2-bench/src/tau2/orchestrator.py` + +**Data models**: +- Task structure: `tau2-bench/src/tau2/data_model/tasks.py` +- Airline models: `tau2-bench/src/tau2/domains/airline/data_model.py` +- Retail models: `tau2-bench/src/tau2/domains/retail/data_model.py` +- Telecom models: `tau2-bench/src/tau2/domains/telecom/data_model.py` + +--- diff --git a/brainstorming_forge_tau/tutorials/2_fundamentals.md b/brainstorming_forge_tau/tutorials/2_fundamentals.md new file mode 100644 index 000000000..fd1b2d4d9 --- /dev/null +++ b/brainstorming_forge_tau/tutorials/2_fundamentals.md @@ -0,0 +1,235 @@ +# Part 2: The Fundamentals + +## 2.1 What is Tool Calling? + +Tool calling allows the LLM to invoke functions instead of just generating text. + +**Example:** +```python +# Without tools: +User: "What's the weather in NYC?" +Model: "I don't have access to real-time weather data." + +# With tools: +User: "What's the weather in NYC?" +Model: get_weather(city="NYC") +Tool: {"temperature": 72, "conditions": "sunny"} +Model: "It's 72°F and sunny in NYC." +``` + +## 2.2 How Tool Calling Works + +**Core concept:** Models are trained to output special formats (tokens or text tags), then we parse them to extract structured tool calls. + +**Two parsing approaches exist in practice:** + +### Token-Based Parsing (vLLM Native) +Some models use **special token IDs** (e.g., token 12971 = `<|python_tag|>`). vLLM can parse these directly: + +```yaml +# vLLM config +enable_auto_tool_choice: true +tool_call_parser: "hermes" # Model-specific: "mistral", "llama", "internlm" +``` + +### Text-Based Parsing (Manual) +Most libraries parse text tags with regex (seen in Tinker, TRL, Verifiers): + +```python +# Example from tinker-cookbook/tinker_cookbook/renderers.py +def parse_response(self, response_tokens): + text = self.tokenizer.decode(response_tokens) + match = re.search(r"(.*?)", text, re.DOTALL) + if match: + return Message(role="assistant", tool_calls=[json.loads(match.group(1))]) + return Message(role="assistant", content=text) +``` + +**Reference:** [Tinker renderers.py](../../tinker-cookbook/tinker_cookbook/renderers.py) + +**NOTE**: Every model has its own format. We shouldn't use arbitrary tags with arbitrary models. + +## 2.3 What is Multi-turn? + +Multi-turn = multiple back-and-forth exchanges in a single episode. + +**Single-turn:** +``` +User: "What's 2+2?" +Model: "4" +[Done] +``` + +**Multi-turn:** +``` +User: "What's 2+2?" +Model: "4" +User: "What's 4+2?" +Model: "6" +User: "What's 6+2?" +Model: "8" +[Done] +``` + +For tool calling, multi-turn enables: +1. Call tool +2. Get result +3. Use result to decide next action +4. Repeat until task complete + +## 2.4 Multi-turn Loop: A Simple Python Example + +```python +# Conceptual multi-turn loop +env = create_env(task="Book a flight to NYC") +messages = [{"role": "user", "content": "Book me a flight to NYC"}] +done = False + +while not done: + # 1. Build prompt from message history + prompt = build_prompt(messages) + + # 2. Generate response + # On first iteration it calls the tool and gets the results + # On following iterations it acts based on the result + # repeat until model says it is done + # Another option is to have another LLM here acting as an user. + response = model.generate(prompt) + + # 3. Check if tool call + if has_tool_call(response): + # Parse and execute tool + tool_call = parse_tool_call(response) + tool_result = env.execute_tool(tool_call) + + # Add to history + messages.append({"role": "assistant", "tool_calls": [tool_call]}) + messages.append({"role": "tool", "content": tool_result}) + else: + # Final answer + messages.append({"role": "assistant", "content": response}) + done = True + +# Get final reward +reward = env.get_reward() +``` + +Key points: +- **Loop** until done +- **Accumulate** messages (conversation history) +- **Tools** execute via environment +- **Reward** computed at end (sparse) + +## 2.5 What is an Environment? + +An **environment** manages: +1. **Tool execution**: Runs tools, returns results +2. **State management**: Tracks what's been done +3. **Reward computation**: Scores the episode + +**Standard API** (gym-like): + +```python +# Initialize +env = Environment(task=task_data) +state = env.reset() # Returns initial state/observation + +# Step +result = env.step(action) # Execute tool or message +# result contains: +# - observation: New state (tool result, env feedback) +# - reward: Immediate reward (often 0.0 for intermediate steps) +# - done: Is episode complete? +# - info: Extra metadata + +# Final reward +if result.done: + final_reward = result.reward +``` + +**Relationship to tools:** +- Environment **owns** the tools +- `env.step(tool_call)` executes the tool +- Returns tool result as observation +- Updates internal state (databases, etc.) + +## 2.6 Message Format (OpenAI Standard) + +Take the example: +``` +"Assistant: I'll search for flights and check the weather for you. +{"name": "search_flights", "arguments": {"destination": "NYC"}} + + +{"name": "get_weather", "arguments": {"city": "NYC"}} +" +``` + +**After parsing, this becomes the structured message** with separate `content` and `tool_calls` fields. Most libraries use OpenAI's chat format: + +```python +messages = [ + # System message (optional) + { + "role": "system", + "content": "You are a helpful assistant with access to tools..." + }, + + # User message + { + "role": "user", + "content": "Book me a flight to NYC and check the weather there" + }, + + # Assistant message (with content AND tool calls in ONE message) + { + "role": "assistant", + "content": "I'll search for flights and check the weather for you.", + "tool_calls": [ + { + "id": "call_123", + "function": { + "name": "search_flights", + "arguments": '{"destination": "NYC"}' + } + }, + { + "id": "call_124", + "function": { + "name": "get_weather", + "arguments": '{"city": "NYC"}' + } + } + ] + }, + + # Tool results (one per tool call) + { + "role": "tool", + "content": '[{"flight": "AA100", "price": "$200"}]', + "tool_call_id": "call_123" + }, + { + "role": "tool", + "content": '{"temperature": 72, "conditions": "sunny"}', + "tool_call_id": "call_124" + } +] +``` + +**Key fields:** +- `role`: "system", "user", "assistant", or "tool" +- `content`: Text content +- `tool_calls`: List of tool invocations (assistant only) +- `tool_call_id`: Links tool result to invocation + +**Chat template** converts messages to model input: +```python +# Using tokenizer +prompt = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=False +) +# Returns formatted string ready for model +``` diff --git a/brainstorming_forge_tau/tutorials/3_forge_current_state.md b/brainstorming_forge_tau/tutorials/3_forge_current_state.md new file mode 100644 index 000000000..ba7d3f762 --- /dev/null +++ b/brainstorming_forge_tau/tutorials/3_forge_current_state.md @@ -0,0 +1,271 @@ +# Part 3: How Forge Currently Works + +## 3.1 Current Forge GRPO Flow (GSM8K Example) + +Forge currently implements GRPO (Group Relative Policy Optimization) for single-turn tasks like math problems. + +**Architecture:** +```python +# apps/grpo/main.py + +# 1. Setup services (distributed actors via Monarch) +policy = Generator(...) # vLLM-based generation +trainer = TitanTrainer(...) # Training service +replay_buffer = ReplayBuffer(...) # Store episodes +ref_model = ReferenceModel(...) # Reference for KL +reward_actor = RewardActor(...) # Score responses + +# 2. Rollout loop (continuous_rollouts) +async def continuous_rollouts(): + while True: + # Sample prompt from dataset + sample = await dataloader.sample.call_one() + prompt, target = sample["prompt"], sample["target"] + + # Generate G responses (group) + responses = await policy.generate.route( + prompt, + n=group_size # e.g., 8 responses + ) + + # Score each response + episodes = [] + for response in responses: + episode = Episode(...) + episode.reward = await reward_actor.evaluate_response.route( + prompt=prompt, + response=response.text, + target=target + ) + episodes.append(episode) + + # Get reference logprobs + ref_logprobs = await ref_model.forward.route(...) + + # Compute advantages (group-relative) + advantages = compute_advantages(episodes) + + # Add to replay buffer + for episode in episodes: + await replay_buffer.add.call_one(episode) + +# 3. Training loop (continuous_training) +async def continuous_training(): + while True: + batch = await replay_buffer.sample(batch_size) + + # Train on batch + await trainer.train_step( + inputs=batch["inputs"], + targets=batch["targets"], + advantages=batch["advantages"] + ) + + # Update policy weights + version = await trainer.push_weights() + await policy.update_weights(version) +``` + +**Key features:** +- **Async distributed**: Actors communicate via Monarch +- **Parallel rollouts**: Multiple `continuous_rollouts()` tasks +- **Decoupled**: Rollout and training loops run independently +- **Replay buffer**: Stores episodes for training + +## 3.2 What Forge is Missing for Tool Calling + +**Current GSM8K flow:** +``` +Sample prompt → Generate response → Score → Train +``` + +**Needed for tool calling:** +``` +Sample task → Multi-turn loop → Train + ↓ + Generate → Parse → Execute tool → Update state → Repeat -> Score +``` + +**Missing components:** + +### 1. Multi-turn Loop +**Current**: Single `policy.generate.route(prompt)` +**Needed**: Loop with multiple generation calls + +```python +# Need to add: +while not done: + response = await policy.generate.route(prompt) + if has_tool_call(response): + tool_result = execute_tool(...) + # Continue loop + else: + done = True +``` + +### 2. Tool Call Detection & Parsing +**Current**: No parsing +**Needed**: Extract tool calls from model output + +```python +# Need to add: +def parse_tool_call(response_text): + if "" in response_text: + # Parse JSON + return tool_call + return None +``` + +### 3. Message History Management +**Current**: Single prompt +**Needed**: Accumulate multi-turn conversation + +```python +# Need to add: +messages = [ + {"role": "user", "content": task}, + {"role": "assistant", "tool_calls": [...]}, + {"role": "tool", "content": result}, + # ... more turns +] +``` + +### 4. Tool Execution +**Current**: No tool support +**Needed**: Environment to execute tools + +```python +# Need to add: +env = Environment(task=task) +result = env.step(tool_call) +``` + +### 5. Response Masking +**Current**: Naively split between prompt/answer and train on the answer. This + would train on all tokens, including tool calls. +**Needed**: Mask to ignore tool results in the loss function + +```python +# Need to add: +response_mask = [ + 1, 1, 1, # LLM output - TRAIN + 0, 0, 0, # Tool result - IGNORE + 1, 1, 1, # LLM output - TRAIN +] +``` + +### 6. Episode Structure +**Current** (from `apps/grpo/main.py:44-74`): +```python +@dataclass +class Episode: + episode_id: str + pad_id: int + request_len: int + response_len: int + target: Any | None = None + # Processed data + completion: Completion | None = None # Contains prompt_ids, token_ids, logprobs + ref_logprobs: torch.Tensor | None = None + reward: float | None = None + advantage: float | None = None +``` + +**Multi turn**: + +**References**: +**Tinker** `tinker-cookbook/tinker_cookbook/rl/types.py`, +**VERL** `verl/experimental/agent_loop/tool_agent_loop.py`, +**TRL** `trl/examples/scripts/openenv/catch.py` +**NeMo-RL** `RL/nemo_rl/experience/rollouts.py` + +- Store all turns (transition) in single Episode (trajectory) +- Concatenate turns during rollout or when converting to training data +- Build response_mask to exclude tool results from training + +**Tinker's approach** (`tinker-cookbook/tinker_cookbook/rl/types.py`): +```python +Observation: TypeAlias = tinker.ModelInput + +@dataclass +class Transition: + ob: Observation + ac: TokensWithLogprobs + reward: float + episode_done: bool + metrics: Metrics = field(default_factory=dict) + +@dataclass(frozen=True) +class Trajectory: + transitions: list[Transition] + final_ob: Observation + +@dataclass +class TrajectoryGroup: + trajectories_G: list[Trajectory] + final_rewards_G: list[float] # computed by the EnvGroupBuilder, looking at whole group + metrics_G: list[Metrics] + + def get_total_rewards(self) -> list[float]: + return [ + sum(transition.reward for transition in trajectory.transitions) + final_reward + for trajectory, final_reward in safezip(self.trajectories_G, self.final_rewards_G) + ] +``` + +### 7. Prompt Formatting with Tools +**Current**: Simple prompt. +**Needed**: Our tokenizer jinja template already supports tools, but need to investigate how to use it +and write `format_tool_schemas` + +```python +# Need to add: +system_prompt = f""" +You have access to these tools: + +{format_tool_schemas(tools)} + +Call tools using this format: +{{"name": "tool_name", "args": {{}}}} +""" +``` + +### 8. Reward Computation +**Current** (from `apps/grpo/main.py:385-398`): Immediate reward from `RewardActor` +```python +# For each response in the group +for i, response in enumerate(responses): + episode.reward = await reward_actor.evaluate_response.route( + prompt=prompt, + response=response.text, + target=target + ) + # reward_actor compares response to target immediately +``` + +**Needed for multi-turn**: Sparse reward from environment after episode completes, i.e. the input to the reward calculator is the **full trajectory**. + +```python +for i, response in enumerate(responses): + ... + +# add this +final_reward = sum(previous_rewards_if_any) + env.get_rewards(responses) +# or just: +final_reward = env.get_rewards(responses) +``` + + + + +--- + +**Summary Table:** + +| Component | GSM8K (Current) | Tool Calling (Needed) | +|-----------|----------------|----------------------| +| **Loop** | Single generate | Multi-turn while loop | +| **Tools** | None | Parse & execute | +| **Reward** | Per-response | Sparse at end | +| **Loss** | All tokens | Masked (exclude tool results) | +| **Episode** | Single turn | multi-turn | From 8c874953564cca8b37ffbdbb7c3100128cdf5558 Mon Sep 17 00:00:00 2001 From: Felipe Mello Date: Thu, 13 Nov 2025 09:11:04 -0800 Subject: [PATCH 02/11] add what the loop should look like --- .../tutorials/4_forge_ideal_state.md | 293 ++++++++++++++++++ 1 file changed, 293 insertions(+) create mode 100644 brainstorming_forge_tau/tutorials/4_forge_ideal_state.md diff --git a/brainstorming_forge_tau/tutorials/4_forge_ideal_state.md b/brainstorming_forge_tau/tutorials/4_forge_ideal_state.md new file mode 100644 index 000000000..2117aba01 --- /dev/null +++ b/brainstorming_forge_tau/tutorials/4_forge_ideal_state.md @@ -0,0 +1,293 @@ + +** WORK IN PROGRESS -- NEEDS CHANGES / CLEANUP / DETAILS ** + +# Part 4.0: What a Multi-Turn Tool Calling with Forge + vLLM + OpenEnv would look like + +For tool calling, we extend Forge's GRPO pattern to handle **multi-turn interactions** where: +- One task → multiple LLM generations + tool executions → one Episode +- Episode contains **concatenated tokens** from all turns +- Training and replay buffer logic remains unchanged + +**Key Principle:** Multi-turn only changes the **rollout phase**. Training stays the same. + +--- + +## Setup: Services + Multi-Environment Support + +Notice that an Env in OpenEnv is a **tool execution environment**. It doesn't know about tasks. It only knows about tools. +Other Envs may have more responsabilities, such as holding history conversation and providing the data. + +```python +# 1. Setup services (same as single-turn, plus environments) +policy = Generator(...) +trainer = TitanTrainer(...) +replay_buffer = ReplayBuffer(...) +ref_model = ReferenceModel(...) + +# Dataloader provides tasks (prompts + metadata) +dataloader = DataLoader(Tau2BenchDataset(...)) + +# Task-based routing +# Different environments = different tools, max_turns, rewards +env_map = { + "websearch": WebSearchEnv.from_docker_image("tau2bench/websearch:latest"), + "coding": CodingEnv.from_docker_image("tau2bench/coding:latest"), + "airline": AirlineEnv.from_docker_image("tau2bench/airline:latest"), +} + +# Environment-specific configuration +max_turns_config = { + "websearch": 10, + "coding": 15, + "airline": 8, +} +``` + +**References:** +- Verifiers: `verifiers/envs/env_group.py` +- Tinker: `tinker-cookbook/distillation/datasets.py:45-83` + +--- + +## Rollout Loop: Multi-Turn with Environment Routing + +```python +# 2. Rollout loop (continuous_rollouts with multi-turn) +async def continuous_rollouts(): + while True: + # Sample task from dataloader + task = await dataloader.sample.call_one() + # task.prompt: "Book a flight from SF to NYC on March 15th" + # task.task_type: "websearch" | "coding" | "airline" + # task.metadata: Additional task-specific info + + # Route to correct environment based on task type + env_client = env_map[task.task_type] + max_turns = max_turns_config[task.task_type] + + # Reset environment to get tools (env doesn't know the task) + # Reference: OpenEnv/src/core/http_env_client.py:142-154 + env_state = env_client.reset() + tool_schemas = env_state.observation.tools # Available tools for this env + + # Generate G samples for this task + # TODO: Investigate parallelizing with asyncio.gather() instead of sequential + episodes = [] + for _ in range(group_size): # G samples per task + episode = await play_task( + policy=policy, + task_prompt=task.prompt, # From dataloader + tool_schemas=tool_schemas, # From environment + env=env_client, + max_turns=max_turns + ) + episodes.append(episode) + + # Add to replay buffer (same as single-turn) + for episode in episodes: + await replay_buffer.add.call_one(episode) +``` + +**Critical insight:** Dataset provides tasks, environment provides tools. They are separate. + +--- + +## Multi-Turn Rollout: play_task() + +This replaces the single `policy.generate()` call in single-turn GRPO. + +```python +# Reference: OpenEnv/src/core/client_types.py (StepResult) +from openenv.core.client_types import StepResult +from openenv.core.env_server import ToolCallAction + +async def play_task( + policy: Generator, + task_prompt: str, # From dataloader + tool_schemas: list[dict], # From env.reset() + env: OpenEnvClient, + max_turns: int = 10 +) -> Episode: + """ + Play one task to completion, return single Episode. + + Args: + policy: Generator actor for LLM generation + task_prompt: Task from dataloader (e.g., "Book flight SF->NYC") + tool_schemas: Available tools from env.reset() + env: Environment client for tool execution + max_turns: Maximum conversation turns + + Returns: + Episode with all turns concatenated + """ + + # Initialize conversation with task + # System prompt handled by tokenizer.apply_chat_template() with tools= + # Or dataset can provide task.system_prompt if needed + messages = [{"role": "user", "content": task_prompt}] + + # Storage: concatenate all turns into single sequence + all_tokens = [] + all_logprobs = [] + response_mask = [] # 1=train on LLM output, 0=skip tool results + metadata = {} # Track episode stats + + done = False + turn = 0 + + while not done and turn < max_turns: + # 1. Format prompt with conversation history + tools + # Tokenizer injects system prompt with tool definitions when tools= is passed + prompt = tokenizer.apply_chat_template( + messages, + tools=tool_schemas, # From env.reset() + add_generation_prompt=True, + tokenize=False + ) + + # 2. Generate response + response = await policy.generate.route(prompt, n=1) + + # 3. Parse tool call from response + # Using Tinker pattern: XML tags ... + # Alternative: vLLM native parsing with tool_call_parser="hermes" (see Appendix) + tool_calls = parse_tool_calls(response.text) # Returns list of tool calls + + if tool_calls: + # Tool execution path + # Add assistant message with tool calls + messages.append({ + "role": "assistant", + "content": response.text, + "tool_calls": tool_calls # Structured tool call data + }) + + # Collect LLM output tokens - TRAIN on these + all_tokens.extend(response.token_ids) + all_logprobs.extend(response.logprobs) + response_mask.extend([1] * len(response.token_ids)) + + # Execute tools (parallel if multiple calls) + # TODO: Confirm environment can handle parallel requests + try: + tool_tasks = [ + env.execute_tool(tc["name"], tc["args"]) + for tc in tool_calls + ] + tool_results = await asyncio.gather(*tool_tasks) + except Exception as e: + # Handle tool execution errors + tool_results = [{"content": f"Error: {str(e)}"}] + + # Add tool results to messages and tokens + for tool_result in tool_results: + tool_content = tool_result.content + + # Truncate long tool responses to avoid context overflow + tool_tokens = tokenizer.encode(tool_content, add_special_tokens=False) + tool_tokens = truncate(tool_tokens, max_length=256) + # TODO: Decide where truncate() lives (env vs rollout loop vs utility) + tool_content = tokenizer.decode(tool_tokens) + + # Add tool result to messages + messages.append({ + "role": "tool", + "content": tool_content + }) + + # Collect tool result tokens - DON'T TRAIN on these + all_tokens.extend(tool_tokens) + all_logprobs.extend([0.0] * len(tool_tokens)) + response_mask.extend([0] * len(tool_tokens)) + + # Check if environment signals done + done = tool_results[-1].get("done", False) if tool_results else False + + else: + # Final answer (no tool call) + messages.append({ + "role": "assistant", + "content": response.text + }) + + # Collect final response tokens - TRAIN on these + all_tokens.extend(response.token_ids) + all_logprobs.extend(response.logprobs) + response_mask.extend([1] * len(response.token_ids)) + + done = True + + turn += 1 + + # Populate episode metadata + metadata = { + "num_turns": turn, + "truncated": turn >= max_turns, + # other stats... + } + + # Get final reward from environment + final_reward = env.get_reward(messages) #TODO: confirm messages as input + + # Create Episode + # TODO: this abstraction will have to change. It was created for single-turn. + completion = Completion( + prompt_ids=None, # Not stored (can reconstruct from messages) + token_ids=torch.tensor(all_tokens), + logprobs=torch.tensor(all_logprobs), + text=tokenizer.decode(all_tokens), + generator_version=0 + ) + + episode = Episode( + episode_id=str(uuid.uuid4()), + pad_id=tokenizer.pad_token_id or tokenizer.eos_token_id, + request_len=0, # Varies per turn, not fixed + response_len=len(all_tokens), + target=None, # Tau2Bench doesn't expose ground truth during training + completion=completion, + response_mask=torch.tensor(response_mask), # NEW: Mask for training + ref_logprobs=None, # Computed later by ref_model + reward=final_reward, + advantage=None, # Computed later with group + metadata=metadata # NEW: Episode statistics + ) + + return episode +``` +## Training Loop + +Stays the same, but we add `response_mask` + +```python +# Reference: apps/grpo/main.py + +# 3. Training loop (minimal changes - just add response_mask) +async def continuous_training(): + while True: + # Sample batch from replay buffer + batch = await replay_buffer.sample(batch_size) + + # Get reference logprobs + ref_logprobs = await ref_model.forward.route( + prompt_ids=batch["prompt_ids"], + response_ids=batch["response_ids"] + ) + + # Compute advantages (group-relative) + advantages = compute_group_advantages(batch["rewards"]) + + # Train on batch with response mask + await trainer.train_step( + inputs=batch["prompt_ids"], + targets=batch["response_ids"], + advantages=advantages, + ref_logprobs=ref_logprobs, + response_mask=batch["response_mask"], # NEW: Mask tool results + ) + + # Update policy weights + version = await trainer.push_weights() + await policy.update_weights(version) +``` From 12737dc2ef25616bdde52988b5a071047f101b2c Mon Sep 17 00:00:00 2001 From: Felipe Mello Date: Sat, 15 Nov 2025 13:00:00 -0800 Subject: [PATCH 03/11] bunch of docs --- .../1_requirements_and_context.md | 321 ++ brainstorming_forge_tau/2_tracker.md | 114 + brainstorming_forge_tau/3_open_questions.md | 358 ++ brainstorming_forge_tau/4_examples_APIs.md | 4395 +++++++++++++++++ .../5_tutorial_multiturn_toolcalling.md | 2055 ++++++++ .../6_refactor_structure_for_doc_5.md | 1029 ++++ .../1_message_format_for_tool_calling.md | 168 + .../changes/2_episode_class.md | 189 + .../brainstorming/3_actor_env_judge_v1.md | 1612 ++++++ .../brainstorming/3_actor_env_judge_v2.md | 875 ++++ .../changes/config_changes.md | 0 .../tutorials/3_5_1_missing_details.md | 453 ++ .../tutorials/3_5_ideal_state.md | 559 +++ .../4_complete_loop_components_v1.md | 722 +++ .../4_complete_loop_components_v2.md | 1483 ++++++ .../tutorials/5_architectural_patterns.md | 1145 +++++ .../tutorials/6_implementation_plan.md | 790 +++ .../tutorials/7_evaluating_on_tau2bench.md | 473 ++ .../tutorials/8_implementation_roadmap.md | 540 ++ 19 files changed, 17281 insertions(+) create mode 100644 brainstorming_forge_tau/1_requirements_and_context.md create mode 100644 brainstorming_forge_tau/2_tracker.md create mode 100644 brainstorming_forge_tau/3_open_questions.md create mode 100644 brainstorming_forge_tau/4_examples_APIs.md create mode 100644 brainstorming_forge_tau/5_tutorial_multiturn_toolcalling.md create mode 100644 brainstorming_forge_tau/6_refactor_structure_for_doc_5.md create mode 100644 brainstorming_forge_tau/changes/1_message_format_for_tool_calling.md create mode 100644 brainstorming_forge_tau/changes/2_episode_class.md create mode 100644 brainstorming_forge_tau/changes/brainstorming/3_actor_env_judge_v1.md create mode 100644 brainstorming_forge_tau/changes/brainstorming/3_actor_env_judge_v2.md create mode 100644 brainstorming_forge_tau/changes/config_changes.md create mode 100644 brainstorming_forge_tau/tutorials/3_5_1_missing_details.md create mode 100644 brainstorming_forge_tau/tutorials/3_5_ideal_state.md create mode 100644 brainstorming_forge_tau/tutorials/4_complete_loop_components_v1.md create mode 100644 brainstorming_forge_tau/tutorials/4_complete_loop_components_v2.md create mode 100644 brainstorming_forge_tau/tutorials/5_architectural_patterns.md create mode 100644 brainstorming_forge_tau/tutorials/6_implementation_plan.md create mode 100644 brainstorming_forge_tau/tutorials/7_evaluating_on_tau2bench.md create mode 100644 brainstorming_forge_tau/tutorials/8_implementation_roadmap.md diff --git a/brainstorming_forge_tau/1_requirements_and_context.md b/brainstorming_forge_tau/1_requirements_and_context.md new file mode 100644 index 000000000..6110b40f9 --- /dev/null +++ b/brainstorming_forge_tau/1_requirements_and_context.md @@ -0,0 +1,321 @@ +# Requirements and Context + +## Original User Prompt (Updated) + +I work in torchforge, which is an RL training library. Here is an example on how we do GRPO at `apps/grpo/main.py`. + +It is still early days and we have multiple blind spots. + +**IMPORTANT UPDATE:** We want to train a model to perform well on tau2bench, but the approach is: +- **Training**: Use OpenEnv Docker sandboxes for tool calling and rewards (NOT Tau2) +- **Evaluation**: Use Tau2Bench to evaluate trained models + +Tau2Bench is **ONLY** for evaluation. Training will happen on OpenEnv environments. + +**My Questions:** +1. Once we have a trained model, how do I run taubench? +2. How do I prepare rewards or data to do well on taubench? Do I look at the scoring done by taubench? Do I try to support the same exact tools in my training? +3. How does taubench score? +4. We currently don't have multiturn or tool calling. How does it work and how do I incorporate it to main.py? +5. What else am I missing? + +**Process Notes:** +- Clean code snippets help me a lot to understand the situation +- Since there is a lot of content here, we won't be able to figure this out in a single conversation, so we will have to do it in steps +- These docs (1, 2, 3) should have all info needed to continue executing and exploring +- I will NOT provide this prompt again explaining my motivations + +**Main Goal:** Come up with **clean code** showing how to go from what we have in Forge (GRPO on single-turn) to a **rollout loop that uses tool calling + multi-turn**. + +Specifically: +1. **Design clear APIs/abstractions** for tool calling episodes +2. **Show concrete code** (not just plans) for: + - Prompt formatting with tools + - Response parsing (tool calls vs messages) + - Multi-turn conversation management + - Episode creation from multi-turn tasks + - Integration with existing Forge GRPO +3. **Enable Tau2Bench evaluation** of the trained model + +**Approach:** +- Study existing examples: OpenEnv BlackJack, Tinker-cookbook tool use +- Extract patterns and best practices +- Synthesize into clean Forge-compatible code +- Provide working implementation, not just design docs + +The deliverable is **code that works**, with clear examples and minimal abstraction complexity. + +--- + +## What is Forge (torchforge)? + +**Location:** `/home/felipemello/forge/` + +Forge is a PyTorch-native agentic RL library focused on enabling rapid research while maintaining scalability. + +### Key Concepts + +**Architecture:** +- **Actors** - Distributed components running RL logic (Generators, Trainers, ReplayBuffers, etc.) +- **Monarch** - Underlying process mesh system for distributed coordination +- **Controllers** - Orchestrate actors and manage lifecycle + +**Core Components:** +- `Generator` - vLLM-based text generation service (uses vLLM v1) +- `TitanTrainer` - Training service for model updates +- `ReplayBuffer` - Stores episodes for training +- `ReferenceModel` - Maintains reference model for KL divergence +- `ForgeActor` - Base class for all actors in the system + +**Current Capabilities:** +- GRPO (Group Relative Policy Optimization) - see `apps/grpo/main.py` +- SFT (Supervised Fine-Tuning) +- Async/sync training modes +- Multi-GPU support with distributed training + +**Current GRPO Flow (apps/grpo/main.py):** +```python +# 1. Setup services +policy = Generator(...) # Generate completions +trainer = TitanTrainer(...) # Train model +replay_buffer = ReplayBuffer(...) # Store episodes +ref_model = ReferenceModel(...) # Reference for KL +reward_actor = RewardActor(...) # Calculate rewards + +# 2. Rollout loop (continuous_rollouts) +prompt, target = sample from dataset +responses = policy.generate(prompt) # Generate G responses +rewards = reward_actor.evaluate(...) # Score each response +ref_logprobs = ref_model.forward(...) # Get reference logprobs +advantages = compute_advantages(...) # Normalize rewards +replay_buffer.add(episode) # Store episode + +# 3. Training loop (continuous_training) +batch = replay_buffer.sample(...) +trainer.train_step(inputs, targets) # Train on batch +trainer.push_weights(version) # Save weights to torchstore +policy.update_weights(version) # Update policy with new weights +``` + +**What Forge Currently Does NOT Have:** +- Multi-turn conversation handling +- Tool/function calling support +- Structured reward functions for tool-based tasks +- Environment interaction patterns (like gym environments) + +--- + +## What is Tau2Bench? + +**Location:** `/home/felipemello/forge/tau2-bench/` + +Tau2Bench is a benchmark for evaluating conversational agents in customer service scenarios. It simulates realistic multi-turn conversations where agents must follow policies, use tools, and interact with users. + +### Key Concepts + +**Domains:** +- `mock` - Simple task management (create_task, update_task) +- `airline` - Flight booking and management +- `retail` - Product orders and returns +- `telecom` - Customer support with technical troubleshooting + +**Two Modes:** +1. **Normal Mode** - Agent converses with user simulator +2. **Solo Mode** - Agent works independently on tickets (no user interaction) + +**Architecture:** +``` +Orchestrator +├── Agent (your model) +├── User Simulator (LLM playing customer) +└── Environment (domain-specific tools and state) +``` + +**Tool Calling Format:** +Agents can either: +- Send text message: `"I'll help you with that"` +- Make tool call: `"search_flights(origin='NYC', destination='LAX')"` +- JSON format: `{"name": "search_flights", "arguments": {"origin": "NYC", "destination": "LAX"}}` + +**Task Structure:** +```json +{ + "id": "create_task_1", + "user_scenario": { + "persona": "Professional communicator", + "instructions": "Create a task called 'Important Meeting' for user_1" + }, + "ticket": "User needs to create a task...", + "evaluation_criteria": { + "actions": [ + { + "action_id": "create_1", + "name": "create_task", + "arguments": {"user_id": "user_1", "title": "Important Meeting"} + } + ], + "reward_basis": ["ACTION", "COMMUNICATE"] + } +} +``` + +**Reward/Scoring System:** + +Tau2 evaluates completed simulations based on multiple criteria: + +1. **ENV** - Environment state checks: + - Database state matches expectations + - Environment assertions pass (e.g., task_id="task_2" has status="pending") + +2. **ACTION** - Tool call verification: + - Agent called the right tools + - With the right arguments (or subset via `compare_args`) + - In any order (not sequence-dependent) + +3. **COMMUNICATE** - Communication checks: + - Agent communicated required information to user + +4. **NL_ASSERTIONS** - Natural language assertions (experimental): + - LLM-based evaluation of conversation quality + +**Final reward** = product of all reward components (0.0 or 1.0 typically, binary success) + +Tasks must end with: +- `AGENT_STOP` - Agent calls `done()` tool +- `USER_STOP` - User says stop keywords +- Otherwise reward = 0.0 + +### Gymnasium Interface + +Tau2 now includes RL training support via `AgentGymEnv`: + +```python +import gymnasium as gym +from tau2.gym import register_gym_agent, TAU_BENCH_ENV_ID + +register_gym_agent() +env = gym.make(TAU_BENCH_ENV_ID, domain="mock", task_id="create_task_1") + +# Observation: conversation history as string +observation, info = env.reset() +# info contains: tools, policy, simulation_run + +# Action: either message or tool call +action = "create_task(user_id='user_1', title='Important Meeting')" +observation, reward, terminated, truncated, info = env.step(action) + +# reward is binary: 1.0 if all criteria met, 0.0 otherwise +``` + +**Key Insight:** The gym interface provides **sparse rewards** - you only get the final reward after the episode terminates (when agent/user stops). + +### Task Splits + +Domains have train/test splits for proper evaluation: +- `base` - Complete task set (original benchmark) +- `train` - Training tasks +- `test` - Held-out evaluation tasks + +--- + +--- + +## What is OpenEnv? + +**Location:** `/home/felipemello/forge/OpenEnv/` + +OpenEnv is a framework for creating isolated execution environments (Docker containers) for agentic RL training. It provides a Gymnasium-style API for any environment. + +### Key Concepts + +**Architecture:** +``` +Client (Forge) ←─HTTP─→ Docker Container (OpenEnv Server) + └─ Environment Logic + └─ Reward Computation + └─ State Management +``` + +**API (Gym-style):** +```python +from envs.coding_env import CodingEnv, CodeAction + +env = CodingEnv.from_docker_image("coding-env:latest") +result = env.reset() # Start episode +result = env.step(CodeAction(...)) # Take action +state = env.state() # Get state +env.close() # Cleanup +``` + +**StepResult:** +```python +@dataclass +class StepResult: + observation: Observation # Environment feedback + reward: float # Immediate reward (can be sparse or dense) + done: bool # Episode terminated? +``` + +**Existing Environments:** +- `echo_env` - Simple message echo (demo) +- `coding_env` - Python code execution +- `openspiel_env` - Games (BlackJack, Chess, TicTacToe, etc.) +- `browsergym_env` - Web browser interaction +- `atari_env` - Atari games +- Many more (70+ total) + +**Important:** OpenEnv environments can run **synchronously** (blocking) or be wrapped for async use. + +### Working Example: GRPO + BlackJack + +A complete working example exists at `/home/felipemello/forge/OpenEnv/examples/grpo_blackjack/` showing Forge + OpenEnv integration. See `4_examples_APIs.md` for detailed analysis of the pattern. + +--- + +## Comparison: Forge GRPO vs OpenEnv vs Tau2 + +| Aspect | Forge GRPO (GSM8K) | OpenEnv Training | Tau2 Evaluation | +|--------|-------------------|------------------|-----------------| +| **Purpose** | Current training | New training approach | Final evaluation | +| **Input** | Single prompt | Game/environment state | Multi-turn conversation | +| **Output** | Single completion | Actions (text or parsed) | Messages + tool calls | +| **Tools** | Not supported | Environment-specific | Domain-specific | +| **Reward** | Per-response | Per-step or per-episode | Sparse, end-of-episode | +| **Episode** | 1 prompt → 1 response | Multi-step game/task | Multi-turn conversation | +| **Use Case** | Math problems | Tool calling, games | Benchmark performance | + +--- + +## File References + +**Forge:** +- Main GRPO (GSM8K): `apps/grpo/main.py` +- Generator: `src/forge/actors/generator.py` +- Trainer: `src/forge/actors/trainer.py` +- Episode dataclass: `apps/grpo/main.py:43-74` + +**OpenEnv (Training):** +- Main README: `OpenEnv/README.md` +- Environments: `OpenEnv/src/envs/` +- **BlackJack Example (KEY!)**: `OpenEnv/examples/grpo_blackjack/` + - `grpo_utils.py` - Complete integration with Forge + - `blackjack.yaml` - Training configuration + - `play_game()` - Episode collection pattern +- Coding Environment: `OpenEnv/src/envs/coding_env/` + +**Tinker-Cookbook (Tool Use Examples):** +- Tool interface: `tinker-cookbook/tinker_cookbook/recipes/tool_use/search/tools.py` +- Search environment: `tinker-cookbook/tinker_cookbook/recipes/tool_use/search/search_env.py` +- Training: `tinker-cookbook/tinker_cookbook/recipes/tool_use/search/train.py` +- Renderers: `tinker-cookbook/tinker_cookbook/renderers.py` + +**Tau2 (Evaluation Only):** +- Main README: `tau2-bench/README.md` +- Evaluation command: `tau2 run --domain --agent-llm --user-llm ` +- Gym README: `tau2-bench/src/tau2/gym/README.md` +- Evaluator: `tau2-bench/src/tau2/evaluator/evaluator.py` +- Task structure: `tau2-bench/src/tau2/data_model/tasks.py` +- Example tasks: `tau2-bench/data/tau2/domains/mock/tasks.json` + +**Example APIs:** +- **4_examples_APIs.md** - Complete analysis of BlackJack and Tinker patterns with proposed Forge API diff --git a/brainstorming_forge_tau/2_tracker.md b/brainstorming_forge_tau/2_tracker.md new file mode 100644 index 000000000..d817573db --- /dev/null +++ b/brainstorming_forge_tau/2_tracker.md @@ -0,0 +1,114 @@ +# Tracker - Forge + Tau2 Integration + +## Document Status + +### Completed Documents +- ✅ `1_requirements_and_context.md` - UPDATED with clarified goal and OpenEnv approach +- ✅ `2_tracker.md` - This file +- ✅ `3_open_questions.md` - Open questions +- ✅ `4_examples_APIs.md` - **NEW!** Complete analysis of BlackJack + Tinker patterns + +### In Progress +- 🔄 Understanding tool calling in vLLM and OpenEnv +- 🔄 Understanding BlackJack→ToolCalling adaptation + +### Planned +- ⏳ Design doc: Tool calling environment for OpenEnv +- ⏳ Design doc: Adapting BlackJack pattern for tool calling +- ⏳ Design doc: Tau2 evaluation integration +- ⏳ Implementation plan: Step-by-step changes +- ⏳ Code snippets: Example implementations + +--- + +## Current Focus + +**MAJOR UPDATE: Training Strategy Changed!** + +**Previous assumption:** Train using Tau2's gym environment +**New approach:** +- **Training**: Use OpenEnv Docker sandboxes (NOT Tau2) +- **Evaluation**: Use Tau2 to benchmark trained models + +**Phase 1: Understand Patterns & Design API (Current)** +- ✅ Analyzed OpenEnv BlackJack example +- ✅ Analyzed Tinker-cookbook tool use example +- ✅ Created comprehensive comparison in `4_examples_APIs.md` +- 🔄 Next: Prototype the proposed API with actual code + +--- + +## Next Steps + +1. **Prototype Response Parsing** (Immediate) + - Implement `parse_response()` function + - Test both tag format and function-call format + - Handle edge cases + - Create: `5_response_parsing.py` (working code) + +2. **Prototype `play_task()` Loop** (Immediate) + - Implement multi-turn rollout function + - Handle tool calls and messages + - Track conversation history + - Create: `6_play_task_loop.py` (working code) + +3. **Create Simple Tool Environment** (Next) + - Build minimal OpenEnv tool-calling environment + - Support 2-3 simple tools (search, calculate, etc.) + - Define reward function + - Create: `7_simple_tool_env/` (working environment) + +4. **Integration with Forge GRPO** (After prototypes work) + - Adapt Episode dataclass + - Integrate `play_task()` into continuous_rollouts + - Test end-to-end training + - Create: `8_forge_integration.py` (working example) + +5. **Tau2 Evaluation** (Final) + - Figure out local model evaluation + - Create evaluation script + - Document process + - Create: `9_tau2_eval.py` (evaluation runner) + +--- + +## Questions Resolved + +*(None yet - see 3_open_questions.md)* + +--- + +## Observations & Insights + +**Key Patterns Identified** (See `4_examples_APIs.md` for detailed analysis): + +1. **Working Integration Example**: OpenEnv BlackJack shows complete Forge + OpenEnv integration +2. **Training ≠ Evaluation**: Use OpenEnv for training (flexible, custom rewards), Tau2 for evaluation (standard benchmark) +3. **Text-based Actions**: Parsing actions from LLM text output works (proven in BlackJack) +4. **Sparse Rewards Pattern**: Final reward assigned to all steps (matches Tau2's structure) +5. **Multiple Reference Patterns**: BlackJack (simpler, Forge-proven) vs Tinker-cookbook (structured) vs VERL/NeMo-RL (production-scale) + +See `4_examples_APIs.md` for complete code examples and detailed comparisons. + +--- + +## Session Log + +### Session 1 +- **Date:** 2025-11-11 (Part 1) +- **Created:** Initial context docs (1, 2, 3) +- **Explored:** + - Forge GRPO implementation + - Tau2 gym interface and scoring +- **Major Update:** Learned that training will use OpenEnv (not Tau2)! +- **Discovered:** Working BlackJack example that integrates OpenEnv + Forge + +### Session 1 (Continuation) +- **Date:** 2025-11-11 (Part 2) +- **Goal Clarified:** Need clean code showing rollout loop with tool calling + multi-turn +- **Created:** `4_examples_APIs.md` - Complete analysis of existing patterns +- **Analyzed:** + - OpenEnv BlackJack: `play_game()` pattern, text parsing, episode structure + - Tinker-cookbook: Tool schemas, message history, environment step flow +- **Proposed:** Synthesized Forge API combining best of both approaches +- **Next:** Prototype response parsing and play_task() loop with actual code diff --git a/brainstorming_forge_tau/3_open_questions.md b/brainstorming_forge_tau/3_open_questions.md new file mode 100644 index 000000000..32b45c4de --- /dev/null +++ b/brainstorming_forge_tau/3_open_questions.md @@ -0,0 +1,358 @@ +# Open Questions (UPDATED) + +**MAJOR UPDATE:** Training approach changed from Tau2 to OpenEnv. Many questions are now obsolete or need reframing. + +--- + +## Critical Path Questions + +### Q1: How does vLLM support tool/function calling? +**Status:** 🔴 Not Answered + +**What we need to know:** +- Does vLLM v1 natively support function calling? +- How to enable it in Forge's Generator? +- What's the output format? +- Can we parse tool calls from text output (like BlackJack does)? + +**Why it matters:** +Tool calling is the core capability we're training. We need to know if vLLM handles it natively or if we parse from text. + +**BlackJack shows text parsing works:** +```python +response = await policy.generate(prompt) # "HIT" or "STAND" +action_id = parse_action(response.text) # Parse from text +``` + +**Can we do similar for tools?** +```python +response = await policy.generate(prompt) # "search_flights(origin='NYC')" +tool_call = parse_tool_call(response.text) +``` + +**Next steps:** +- Check vLLM v1 docs for function calling +- Test with simple tool call generation +- Document findings in `4_vllm_tool_calling.md` + +--- + +### Q2: How to adapt BlackJack pattern for tool calling? +**Status:** 🔴 Not Answered + +**What we need to know:** +- Current: `format_prompt()` → `generate()` → `parse_action()` → `env.step()` +- Needed: How to format prompts with tool definitions? +- How to parse tool calls from responses? +- How to map tool calls to OpenEnv actions? + +**BlackJack Pattern:** +```python +async def play_game(...): + env = OpenSpielEnv(base_url=server_url) + result = env.reset() + + while not done: + # 1. Format prompt + prompt = format_prompt(step_num, action_history, tokenizer) + + # 2. Generate + responses = await policy.generate.route(prompt) + + # 3. Parse action + action_id = parse_action(response.text, obs.legal_actions) + + # 4. Execute + result = env.step(OpenSpielAction(action_id=action_id)) + + # Store step data + game_steps.append({...}) + + # Assign final reward to all steps + return all_step_results +``` + +**Needed Tool Calling Pattern:** +```python +async def play_task(...): + env = ToolCallingEnv(base_url=server_url) + result = env.reset() + while not done: + prompt = format_prompt_with_tools(task, tools, history, tokenizer) + responses = await policy.generate.route(prompt) + + if is_tool_call(response.text): + tool_call = parse_tool_call(response.text) + result = env.step(ToolCallAction(tool_call)) + else: + result = env.step(MessageAction(response.text)) + + task_steps.append({...}) + return all_step_results +``` +*(See `4_examples_APIs.md` for complete implementation)* + +**Next steps:** +- Study `format_prompt()` in grpo_utils.py +- Design `format_prompt_with_tools()` +- Implement `parse_tool_call()` +- Document pattern + +--- + +### Q3: What tool-calling environment should we use for training? +**Status:** 🔴 Not Answered + +**What we need to know:** +- Is there an existing OpenEnv tool-calling environment? +- Should we create one ourselves? +- What tools should it support? +- How should rewards work? + +**Options:** + +**Option A: Use coding_env** +- Already exists! +- Executes Python code +- Could frame tool calls as function executions +- Reward based on test passing? + +**Option B: Create custom tool env** +- Define specific tools (search, book_flight, etc.) +- More aligned with Tau2 eval +- More work to build + +**Option C: Wait for OpenEnv team to build one** +- Cleanest solution +- May take time +- Dependencies on external team + +**Requirements for the environment:** +- Accept tool calls as actions +- Execute tools safely (Docker sandbox) +- Return observations (tool results) +- Provide rewards (task completion?) +- Support multiple tools per task + +**Next steps:** +- Check if tool-calling env is being built +- Prototype simple version +- Define tool set and reward function +- Document in `5_tool_calling_env_design.md` + +--- + +### Q4: How to run Tau2 evaluation on trained model? +**Status:** 🔴 Not Answered + +**What we need to know:** +- How to point Tau2 CLI to local model checkpoint? +- Does it support local models or only API models? +- What format does checkpoint need to be in? +- Can we run programmatically (not just CLI)? + +**From Tau2 README:** +```bash +tau2 run \ + --domain airline \ + --agent-llm gpt-4.1 \ + --user-llm gpt-4.1 \ + --task-split base +``` + +**Questions:** +- Can `--agent-llm` point to local model? +- Format: `--agent-llm /path/to/checkpoint`? +- Or need to serve via vLLM first? +- How to integrate with Forge checkpoints? + +**Next steps:** +- Read Tau2 agent documentation +- Test with local model +- Document in `6_tau2_eval_integration.md` + +--- + +### Q5: How to structure episodes for multi-step tool calling? +**Status:** 🟡 Partially Answered (BlackJack shows the way) + +**What we know from BlackJack:** +- One Episode per step (not per game) +- All steps in a game get the same final reward +- Episode includes: episode_id, game_id, step_in_game, completion, ref_logprobs, reward, advantage + +*(See BlackJack example in `4_examples_APIs.md` for full Episode dataclass)* + +**What we still need:** +- How to handle tool results in prompts? +- Do we include tool results in the completion? +- How to track conversation history across steps? + +**Next steps:** +- Prototype Episode structure for tool calling +- Test with simple example + +--- + +## Secondary Questions + +### Q6: Do we need vLLM's native tool calling or is text parsing enough? +**Status:** 🔴 Not Answered + +**Trade-offs:** + +**Text Parsing (BlackJack approach):** +- ✅ Simpler to implement +- ✅ Already proven to work +- ✅ Model learns to format correctly +- ❌ May have parsing errors +- ❌ Less structured + +**Native vLLM Tool Calling:** +- ✅ More structured output +- ✅ Guaranteed valid JSON +- ✅ Industry standard +- ❌ More complex setup +- ❌ May not work with all models + +**Recommendation:** Start with text parsing (proven), migrate to native if needed. + +--- + +### Q7: How to align OpenEnv training tools with Tau2 evaluation tools? +**Status:** 🔴 Not Answered + +**The dilemma:** +- Training: Custom tools in OpenEnv +- Evaluation: Fixed tools in Tau2 domains + +**Should the tools match exactly?** + +**Option A: Exact match** +- Training tools = Tau2 tools +- Ensures consistency +- But limits training flexibility + +**Option B: Superset** +- Training includes Tau2 tools + more +- More diverse training +- May not transfer perfectly + +**Option C: Different tools, same patterns** +- Focus on tool calling *skill* +- Not specific tools +- Rely on generalization + +**Next steps:** +- List Tau2 tools by domain +- Design training tool set +- Decide on strategy + +--- + +### Q8: What's the reward function for tool calling? +**Status:** 🔴 Not Answered + +**BlackJack uses game outcome:** `reward = float(game_reward) # +1 (win), -1 (loss), 0 (push)` + +**For tool calling, options:** +- **Option A: Binary** - `1.0 if task_completed else 0.0` +- **Option B: Shaped** - Partial credit for correct tool + correct args + completion +- **Option C: LLM-as-judge** - `reward = llm_judge_quality(task, execution, output)` + +**Next steps:** +- Experiment with reward functions +- Measure what works best +- Document findings + +--- + +### Q9: How to run periodic Tau2 eval during training? +**Status:** 🔴 Not Answered (Nice to have, not required) + +**Desired flow:** Run Tau2 evaluation every N training steps to track progress + +**Challenges:** +- Tau2 eval may be slow +- May block training +- Need to run in separate process? + +**Next steps:** +- Prototype tau2 eval wrapper +- Measure evaluation time +- Decide if worth implementing + +--- + +## Questions for Admin + +*(User decisions needed)* + +### Admin Q1: Which tool-calling environment should we start with? +**Options:** +- (A) Use existing `coding_env` and frame tools as code execution +- (B) Build simple custom tool environment (e.g., search + book) +- (C) Wait for OpenEnv team to build proper tool env +- (D) Other suggestion? + +**Recommendation:** (B) Build simple version to unblock training ASAP. + +--- + +### Admin Q2: Should training tools match Tau2 evaluation tools exactly? +**Options:** +- (A) Yes, use identical tools for training and eval +- (B) No, use broader set in training, Tau2 tools in eval +- (C) Use different tools entirely, rely on generalization + +**Implications:** +- (A) = Safest transfer, but limited training diversity +- (B) = More diverse training, may not transfer perfectly +- (C) = Most general, highest risk + +**Recommendation:** Start with (A), expand to (B) if needed. + +--- + +### Admin Q3: Reward function preference? +**Options:** +- (A) Binary (task completed or not) +- (B) Shaped rewards (partial credit) +- (C) LLM-as-judge +- (D) Hybrid + +**Recommendation:** Start with (B) shaped rewards for faster learning. + +--- + +### Admin Q4: Priority on periodic Tau2 eval? +**Options:** +- (A) High - implement in first version +- (B) Medium - add after basic training works +- (C) Low - only eval at end + +**User said:** Nice to have, not must have → Answer is (B) or (C) + +--- + +## Resolved Questions + +### Q_RESOLVED: Should we use Tau2 for training? +**Answer:** No! Use OpenEnv for training, Tau2 only for evaluation. + +**Source:** User clarification in conversation. + +**Date:** 2025-11-11 + +**Implications:** Drastically simplifies the problem. We already have a working example (BlackJack) to build from. + +--- + +### Q_RESOLVED: Do we need multi-turn conversation during training? +**Answer:** Depends on environment. BlackJack doesn't have "user" but plays full games. Tool-calling env may or may not need conversational user. + +**Source:** BlackJack example analysis. + +**Date:** 2025-11-11 + +**Implications:** Can use simpler task-based episodes without full Tau2-style user simulation. diff --git a/brainstorming_forge_tau/4_examples_APIs.md b/brainstorming_forge_tau/4_examples_APIs.md new file mode 100644 index 000000000..c0756fd2e --- /dev/null +++ b/brainstorming_forge_tau/4_examples_APIs.md @@ -0,0 +1,4395 @@ +# Example APIs and Patterns + +**Goal:** Understand existing patterns for tool calling + multi-turn to design our own clean API for Forge. + +**UPDATED:** Now includes deep dive into TRL's low-level implementation of multi-turn with OpenEnv. + +--- + +## 📊 Framework Comparison: Component Coverage Analysis + +### Complete Multi-Turn Tool Calling RL Loop Components + +Below is the breakdown of ALL components needed for a complete multi-turn tool calling RL system, organized into three phases: + +#### **Phase 1: Episode Execution (Rollout)** + +1. **Episode Initialization** + - Create/reset environment + - Set initial state + - Build initial prompt + +2. **Multi-Turn Generation Loop** + - Format prompt with conversation history + tool definitions + - Call generator/LLM + - Parse response (tool call vs final answer) + - Execute tools if tool call detected + - Update conversation history + - Determine continue vs terminate + +3. **Token Collection & Tracking** + - Store generated tokens per turn + - Store logprobs per token + - Track response mask (which tokens are LLM output vs tool results) + - Concatenate multi-turn tokens OR store per-step + +#### **Phase 2: Reward & Advantage** + +4. **Reward Computation** + - Score final outcome + - Assign rewards (sparse or dense) + - Handle multi-step credit assignment + +5. **Reference Model (for KL penalty)** + - Get reference logprobs for generated tokens + - Compute KL divergence + +6. **Advantage Computation** + - Normalize rewards (e.g., group-relative for GRPO) + - Compute advantages (GAE or other methods) + +#### **Phase 3: Training** + +7. **Training Data Preparation** + - Create batches from episodes + - Apply response masks + - Format for loss function + +8. **Training Step** + - Forward pass through model + - Compute loss (GRPO/PPO/Importance Sampling) + - Backward pass + - Optimizer step + + +**Note:** The examples below provide detailed implementations addressing all these components. + +--- + +## Example 1: OpenEnv BlackJack (Forge Integration) + +**Location:** `/home/felipemello/forge/OpenEnv/examples/grpo_blackjack/grpo_utils.py` + +### Architecture + +``` +Forge GRPO → OpenEnv HTTP Server → Game Logic + ↓ +Generator (vLLM) → Text Response + ↓ +Parse Action → Execute in Environment + ↓ +Collect Episodes → Train +``` + +### Key Components + +**1. Episode Structure** +```python +@dataclass +class Episode: + episode_id: str + pad_id: int + request_len: int + response_len: int + game_id: str + step_in_game: int + completion: Completion | None = None + ref_logprobs: torch.Tensor | None = None + reward: float | None = None + advantage: float | None = None +``` + +**2. Rollout Loop (play_game)** +```python +async def play_game(game_idx, game_id, server_url, policy, tokenizer, game_log): + env = OpenSpielEnv(base_url=server_url) + result = env.reset() + + step_num = 0 + action_history = [] + game_steps = [] + done = False + + while not done and step_num < 10: + # 1. Format prompt from game state + prompt = format_prompt(step_num, action_history, tokenizer) + + # 2. Generate response with policy + responses = await policy.generate.route(prompt) + response = responses[0] + + # 3. Parse action from text + action_id = parse_action(response.text, obs.legal_actions) + action_name = "HIT" if action_id == 0 else "STAND" + action_history.append((action_id, action_name)) + + # 4. Store step data + game_steps.append({ + "step_num": step_num, + "prompt": prompt, + "response": response, + }) + + # 5. Execute action in environment + result = env.step(OpenSpielAction(action_id=action_id)) + obs = result.observation + done = result.done + step_num += 1 + + # 6. Get final reward + final_game_reward = result.reward # +1, -1, or 0 + + # 7. Assign final reward to all steps + all_step_results = [] + for step_data in game_steps: + all_step_results.append({ + "game_id": game_id, + "final_reward": final_game_reward, + **step_data, + }) + + return all_step_results +``` + +**3. Prompt Formatting** +```python +def format_prompt(step_num: int, action_history: list, tokenizer) -> str: + system = "You are an expert BlackJack player. Output only 'HIT' or 'STAND'." + + state_desc = f"=== BlackJack Game (Step {step_num + 1}) ===\n\n" + if action_history: + state_desc += "Previous actions:\n" + for i, (_, name) in enumerate(action_history): + state_desc += f" {i + 1}. {name}\n" + state_desc += "\n" + + state_desc += "What do you do? (Output only 'HIT' or 'STAND')" + + chat = [ + {"role": "system", "content": system}, + {"role": "user", "content": state_desc}, + ] + + return tokenizer.apply_chat_template( + chat, tokenize=False, add_generation_prompt=True + ) +``` + +**4. Action Parsing** +```python +def parse_action(response_text: str, legal_actions: list[int]) -> int: + text_lower = response_text.lower().strip() + + if "hit" in text_lower: + action_id = 0 + elif "stand" in text_lower: + action_id = 1 + else: + action_id = 1 # Default: STAND + + # Ensure action is legal + if action_id not in legal_actions: + action_id = legal_actions[0] + + return action_id +``` + +**5. Episode Creation (in continuous_rollouts)** +```python +# Play multiple games +for game_idx in range(group_size): + game_id = str(uuid.uuid4())[:8] + step_results = await play_game( + game_idx, game_id, server_url, policy, tokenizer, game_log + ) + all_step_results.extend(step_results) + +# Create episodes +episodes = [] +for step_result in all_step_results: + episode = Episode( + episode_id=str(uuid.uuid4()), + pad_id=pad_id, + request_len=max_req_tokens, + response_len=max_res_tokens, + game_id=step_result["game_id"], + step_in_game=step_result["step_num"], + completion=step_result["response"], + ) + + # Evaluate reward (with optional shaping) + episode.reward = await reward_actor.evaluate_response.route( + prompt=step_result["prompt"], + response=step_result["response"].text, + game_reward=step_result["final_reward"], + ) + + episodes.append(episode) +``` + +**6. Integration with Forge GRPO** +```python +# Get reference logprobs +ref_logprobs = await ref_model.forward.route( + input_ids, max_req_tokens, return_logprobs=True +) +for i, episode in enumerate(episodes): + episode.ref_logprobs = ref_logprobs[i] + +# Compute advantages (group-relative) +advantages = await compute_advantages.compute.call_one(episodes) +for episode, advantage in zip(episodes, advantages): + episode.advantage = advantage + await replay_buffer.add.call_one(episode) +``` + +### Key Insights + +✅ **Text-based action parsing works**: No need for structured tool calling +✅ **Multi-step = multiple episodes**: One episode per step, shared final reward +✅ **Action history in prompt**: Previous actions included in context +✅ **Simple prompt formatting**: Chat template with system + user message +✅ **Async environment calls**: `await env.step()` wraps sync OpenEnv + +### Episode Organization: Per-Step Strategy + +**BlackJack uses Strategy A:** Each step = separate Episode + +```python +# Game with 3 steps produces 3 Episodes: +Episode(game_id="abc123", step_in_game=0, reward=1.0) # Step 1 +Episode(game_id="abc123", step_in_game=1, reward=1.0) # Step 2 +Episode(game_id="abc123", step_in_game=2, reward=1.0) # Final step +``` + +**Credit Assignment:** +- Final game reward (`+1`, `-1`, or `0`) is assigned to ALL steps +- Each step trains independently +- No gradient flow between steps + +**Why this works:** +- Simpler implementation +- Each Episode is self-contained +- No need for response masks (each completion is pure LLM output) +- Matches existing Forge GRPO pattern + +--- + +## Example 2: Tinker-Cookbook Search Tool (Multi-turn + Tools) + +**Location:** `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/recipes/tool_use/search/` + +### Architecture + +``` +RL Training Loop → SearchEnv → ChromaDB Tool + ↓ +Model Generate → Parse Tool Calls + ↓ +Execute Tools → Return Results + ↓ +Continue or Terminate → Reward +``` + +### Key Components + +**1. Tool Interface** +```python +class ToolClientInterface(ABC): + @abstractmethod + def get_tool_schemas(self) -> list[dict[str, Any]]: + """Returns tool definitions""" + ... + + @abstractmethod + async def invoke(self, tool_call: ToolCall) -> list[Message]: + """Executes tool and returns results""" + ... +``` + +**2. Tool Schema** +```python +{ + "name": "search", + "title": "Wikipedia search", + "description": "Searches Wikipedia for relevant information...", + "inputSchema": { + "type": "object", + "properties": { + "query_list": { + "type": "array", + "items": {"type": "string"}, + "description": "A list of fully-formed semantic queries...", + } + }, + "required": ["query_list"], + }, + "outputSchema": { + "type": "string", + "description": "The search results in JSON format", + }, +} +``` + +**3. System Prompt with Tool Instructions** +```python +SEARCH_TOOL_SYSTEM_PROMPT = """ +You are an expert assistant who solves tasks using a Wikipedia search tool. +Tool calling. Execute the tool by wrapping calls in ... + +The search tool you are given has the following schema: +{tool_schema} + +Here are instructions for how to solve a problem: +1. Think step by step before calling the tool +2. Call the tool with the queries you have decided on +3. Think step by step again after you receive the result +4. If you have the information you need, provide your answer +5. Otherwise, come up with new queries +6. Include your final answer after the "Answer:" prefix + +Example: +Question: "Between 2020 and 2025, which year did NYC see most growth?" +1. Think: I need to search for NYC population data 2020-2025 +2. Tool call: {"name": "search", "args": {"query_list": ["NYC population 2020-2025"]}} +3. Think: Based on results, 2024 had most growth. Now check San Francisco... +4. Tool call: {"name": "search", "args": {"query_list": ["SF population 2024"]}} +5. Answer: NYC grew most in 2024, SF changed by XXXX. +""" +``` + +**4. Environment Step Function** +```python +class SearchEnv(ProblemEnv): + async def step(self, action: Action) -> StepResult: + # Parse response (text or tool call) + message, parse_success = self.renderer.parse_response(action) + self.past_messages.append(message) + + # If tool call + if "tool_calls" in message: + if message["tool_calls"][0]["name"] == "search": + self.current_num_calls += 1 + + # Check max calls limit + if self.current_num_calls > self.max_num_calls: + return StepResult( + reward=0.0, + episode_done=True, + next_observation=ModelInput.empty(), + ) + + # Execute tool + tool_return_message = await self.call_search_tool( + message["tool_calls"][0] + ) + self.past_messages.extend(tool_return_message) + + # Continue episode with tool results + next_observation = self.renderer.build_generation_prompt( + self.past_messages + ) + return StepResult( + reward=0.0, + episode_done=False, + next_observation=next_observation, + ) + + # If final answer (no tool call) + else: + correct_format = self.check_format(message["content"]) + correct_answer = self.check_answer(message["content"]) + total_reward = format_coef * (correct_format - 1) + correct_answer + + return StepResult( + reward=total_reward, + episode_done=True, + next_observation=ModelInput.empty(), + metrics={"format": correct_format, "correct": correct_answer}, + ) +``` + +**5. Message/History Management** +```python +class SearchEnv: + def __init__(self, ...): + self.past_messages: list[Message] = [] + self.convo_prefix: list[Message] = convo_prefix or [] + + async def initial_observation(self): + convo = self.convo_prefix + [ + {"role": "user", "content": self.get_question()}, + ] + self.past_messages = convo.copy() + return self.renderer.build_generation_prompt(convo) + + async def step(self, action): + message = parse_response(action) + self.past_messages.append(message) # Add assistant message + + if is_tool_call(message): + tool_result = await execute_tool(...) + self.past_messages.extend(tool_result) # Add tool result + + # Build next prompt with full history + next_prompt = self.renderer.build_generation_prompt( + self.past_messages + ) + return StepResult(next_observation=next_prompt, ...) +``` + +**6. Renderer Pattern (Message → Prompt)** +```python +class Renderer: + def build_generation_prompt(self, messages: list[Message]) -> ModelInput: + """Convert message history to tokenized prompt""" + # Format: [system, user, assistant, tool, user, assistant, ...] + prompt_text = self.tokenizer.apply_chat_template( + messages, + tokenize=False, + add_generation_prompt=True + ) + return ModelInput(prompt=prompt_text, tokens=...) + + def parse_response(self, action: Action) -> tuple[Message, bool]: + """Parse model output to Message (text or tool call)""" + # Check for ... + if "" in action.text: + tool_call = extract_tool_call(action.text) + return Message( + role="assistant", + tool_calls=[tool_call] + ), True + else: + return Message( + role="assistant", + content=action.text + ), True +``` + +**7. Tool Execution** +```python +async def call_search_tool(self, tool_call: ToolCall) -> list[Message]: + # Validate tool call + if tool_call["name"] != "search": + return [Message(role="tool", content="Error: invalid tool")] + + # Execute tool (async) + query_list = tool_call["args"]["query_list"] + results = await self.chroma_tool_client.invoke(query_list) + + # Format results as tool message + message_content = "" + for query, documents in zip(query_list, results["documents"]): + message_content += f"Query: {query}\n" + for i, doc in enumerate(documents): + message_content += f"Document {i + 1}:\n{doc}\n" + + return [Message(role="tool", content=message_content)] +``` + +### Key Insights + +✅ **Tool calls wrapped in special tags**: `...` +✅ **Message history tracked explicitly**: `self.past_messages` grows each turn +✅ **Renderer abstracts prompt building**: Clean separation of concerns +✅ **Environment controls episode flow**: Decides when to continue vs terminate +✅ **Sparse rewards at end**: Intermediate tool calls get reward=0 +✅ **Tool results added to history**: Next prompt includes tool outputs + +### Response Masking Implementation + +**File:** `tinker_cookbook/rl/data_processing.py:160-168` + +**How Tinker builds the mask during trajectory→training data conversion:** + +```python +# For each transition (observation → action): +def trajectory_to_data(traj: Trajectory, traj_advantage: float): + for transition in traj.transitions: + ob = transition.ob # Environment observation (includes tool results) + ac = transition.ac # LLM-generated action + + delta_ob_len = len(observation_tokens) # Tool results, env state + ac_len = len(action_tokens) # LLM output + + # Build mask: 0 for observations, 1 for actions + SequenceAccumulator.mask.extend( + [0.0] * delta_ob_len + # DON'T train on observations + [1.0] * ac_len # TRAIN on LLM actions + ) + + # Also accumulate advantages (only for action tokens) + SequenceAccumulator.advantages.extend( + [0] * delta_ob_len + # No advantage for observations + [traj_advantage] * ac_len # Advantage for actions + ) +``` + +**Final training data:** +```python +tinker.Datum( + model_input=input_tokens, + loss_fn_inputs={ + "target_tokens": targets, + "logprobs": sampled_logprobs, + "advantages": advantages, # Per-token advantages + "mask": mask, # Per-token mask + } +) +``` + +**Key points:** +- Per-token granularity: Each token has its own mask value +- Applied during loss computation via element-wise multiplication +- Observations (tool results) get `mask=0.0` → no gradient +- Actions (LLM output) get `mask=1.0` → full gradient + +--- + +### Tinker-Cookbook Deep Dive: Low-Level Implementation Details + +**NOW LET'S LOOK AT THE ACTUAL CODE** to see how Tinker-Cookbook implements multi-turn tool calling. + +#### **1. Renderer: How Prompts Are Actually Built** (`renderers.py`) + +The Renderer is KEY to understanding Tinker. Here's how it ACTUALLY works: + +**Qwen3Renderer Example** (with tool calling support): + +```python +class Qwen3Renderer(Renderer): + def _render_message(self, idx: int, message: Message) -> tuple[list[int], list[int], list[int]]: + """Render a message into three parts: observation, action, action_tail.""" + maybe_newline = "\n" if idx > 0 else "" + ob_str = f"{maybe_newline}<|im_start|>{message['role']}\n" + + # Handle tool calls + ac_content = message["content"] + if "tool_calls" in message: + # Add tool call XML to content + ac_content += "\n".join( + [ + f"\n{json.dumps(tool_call)}\n" + for tool_call in message["tool_calls"] + ] + ) + ac_content += "<|im_end|>" + + return ( + self.tokenizer.encode(ob_str, add_special_tokens=False), # Observation + self.tokenizer.encode(ac_content, add_special_tokens=False), # Action + self.tokenizer.encode("", add_special_tokens=False), # Action tail (empty for Qwen) + ) + + def build_generation_prompt( + self, messages: list[Message], role: Role = "assistant", prefill: str | None = None + ) -> tinker.ModelInput: + """Build prompt for generation from message history.""" + tokens: list[int] = [] # No BOS token for Qwen + for idx, message in enumerate(messages): + ob_part, action_part, _ = self._render_message(idx, message) + tokens.extend(ob_part) # Add observation part + tokens.extend(action_part) # Add action part + # Add generation prompt + new_partial_message = Message(role=role, content="") + ob_part, _, _ = self._render_message(len(messages), new_partial_message) + tokens.extend(ob_part) + tokens.extend(self.tokenizer.encode(prefill or "", add_special_tokens=False)) + return tinker.ModelInput.from_ints(tokens) + + def parse_response(self, response: list[int]) -> tuple[Message, bool]: + """Parse model output back to Message.""" + assistant_message, parse_success = parse_response_for_stop_token( + response, self.tokenizer, self._end_message_token + ) + if not parse_success: + return assistant_message, False + + # Parse tool calls from ... tags + match = re.search(r"(.*?)", assistant_message["content"], re.DOTALL) + if match: + tool_calls = self._parse_tool_call(match.group(1)) + if tool_calls is None: + return assistant_message, False + else: + assistant_message["tool_calls"] = tool_calls + return assistant_message, True + return assistant_message, True + + def _parse_tool_call(self, tool_call_str: str) -> list[ToolCall] | None: + """Parse tool call JSON.""" + try: + tool_call = json.loads(tool_call_str) + except json.JSONDecodeError: + return None + + if not isinstance(tool_call, dict): + return None + if ( + "name" not in tool_call + or "args" not in tool_call + or not isinstance(tool_call["name"], str) + or not isinstance(tool_call["args"], dict) + ): + return None + + return [ToolCall(**tool_call)] +``` + +**Key insights:** +- Renderer has THREE methods: `_render_message()`, `build_generation_prompt()`, `parse_response()` +- Tool calls are embedded as XML: `{"name": "search", "args": {...}}` +- Each message is split into: observation (prompt part) + action (completion part) + action_tail +- This allows separate training masks for supervised learning + +#### **2. Environment: The Multi-Turn Loop** (`search_env.py`) + +The SearchEnv shows how multi-turn actually works: + +```python +class SearchEnv(ProblemEnv): + def __init__( + self, + problem: str, + answer: list[str], + chroma_tool_client: ChromaToolClient, + renderer: renderers.Renderer, + max_num_calls: int = 4, + ): + self.problem = problem + self.answer = answer + self.chroma_tool_client = chroma_tool_client + self.renderer = renderer + self.past_messages: list[renderers.Message] = [] + self.current_num_calls = 0 + self.max_num_calls = max_num_calls + + async def initial_observation(self) -> tuple[Observation, StopCondition]: + """Start episode with user question.""" + convo = [ + {"role": "system", "content": SEARCH_TOOL_SYSTEM_PROMPT}, # Tool instructions + {"role": "user", "content": self.problem}, + ] + self.past_messages = convo.copy() + return self.renderer.build_generation_prompt(convo), self.stop_condition + + async def step(self, action: Action) -> StepResult: + """Execute one step: either tool call or final answer.""" + # Parse model output + message, parse_success = self.renderer.parse_response(action) + self.past_messages.append(message) + + # Check if tool call + if "tool_calls" in message: + if message["tool_calls"][0]["name"] == "search": + self.current_num_calls += 1 + + # Check max calls limit + if self.current_num_calls > self.max_num_calls: + return StepResult( + reward=0.0, + episode_done=True, + next_observation=tinker.ModelInput.empty(), + ) + + # Execute tool + try: + tool_return_message = await self.call_search_tool(message["tool_calls"][0]) + self.past_messages.extend(tool_return_message) # Add tool result + except Exception as e: + logger.error(f"Error calling search tool: {repr(e)}") + return StepResult(reward=0.0, episode_done=True, next_observation=tinker.ModelInput.empty()) + + # Continue episode with tool results + next_observation = self.renderer.build_generation_prompt(self.past_messages) + return StepResult( + reward=0.0, # Intermediate reward + episode_done=False, # Continue + next_observation=next_observation, + ) + else: + # Invalid tool name + return StepResult(reward=0.0, episode_done=True, next_observation=tinker.ModelInput.empty()) + else: + # Final answer (no tool call) + correct_format = float(parse_success) and float(self.check_format(message["content"])) + correct_answer = float(self.check_answer(message["content"])) + total_reward = self.format_coef * (correct_format - 1) + correct_answer + return StepResult( + reward=total_reward, # Final reward + episode_done=True, + next_observation=tinker.ModelInput.empty(), + metrics={ + "format": correct_format, + "correct": correct_answer, + }, + ) + + async def call_search_tool(self, tool_call: renderers.ToolCall) -> list[renderers.Message]: + """Execute search tool and return result message.""" + async with _CONNECTION_SEMAPHORE: + return await self.chroma_tool_client.invoke(tool_call) +``` + +**Key insights:** +- Environment maintains `self.past_messages` (full conversation history) +- `step()` returns different results based on tool call vs final answer +- Tool calls → `episode_done=False` (continue episode) +- Final answer → `episode_done=True` (end episode) +- Intermediate tool calls get `reward=0.0`, final answer gets scored + +#### **3. Rollout Loop** (`rollouts.py:16-34`) + +The actual rollout execution is SIMPLE: + +```python +async def do_single_rollout(policy: TokenCompleter, env: Env) -> Trajectory: + """Run one episode from start to finish.""" + transitions = [] + ob, stop_condition = await env.initial_observation() + + while True: + # 1. Generate action from policy + ac_with_logprobs = await policy(ob, stop_condition) + + # 2. Execute action in environment + step_result = await env.step(ac_with_logprobs.tokens) + + # 3. Store transition + transition = Transition( + ob=ob, + ac=ac_with_logprobs, + reward=step_result.reward, + episode_done=step_result.episode_done, + metrics=step_result.metrics, + ) + transitions.append(transition) + + # 4. Update observation + ob = step_result.next_observation + stop_condition = step_result.next_stop_condition + + # 5. Check if done + if step_result.episode_done: + break + + return Trajectory(transitions=transitions, final_ob=ob) +``` + +**Key insights:** +- Simple while loop: generate → step → store +- Environment (`env.step()`) handles ALL the complexity +- Policy is just a callable: `policy(observation) → action` +- Each step creates a Transition (observation, action, reward) + +#### **4. Training Integration** (`train.py`) + +How rollouts feed into training: + +```python +# From train.py:138-193 +async def train_step( + data_D: List[tinker.Datum], + training_client: tinker.TrainingClient, + learning_rate: float, + num_substeps: int, + loss_fn: Literal["importance_sampling", "ppo"], +) -> List[torch.Tensor]: + """Train the model on collected trajectories.""" + batches_md = split_list(data_D, min(num_substeps, len(data_D))) + training_logprobs_D: list[torch.Tensor] = [] + + for batch_d in batches_md: + training_logprobs = await forward_backward(training_client, batch_d, loss_fn) + training_logprobs_D.extend(training_logprobs) + await optim_step(training_client, learning_rate) + + return training_logprobs_D +``` + +**The full RL loop** (from `train.main()`): + +```python +while True: + # 1. Collect rollouts + traj_groups = [] + for _ in range(groups_per_batch): + traj_group = await do_group_rollout(env_group_builder, policy) + traj_groups.append(traj_group) + + # 2. Process trajectories → training data + advantages_G = compute_advantages(traj_groups) + data_D, metadata_D = assemble_training_data(traj_groups, advantages_G) + + # 3. Train on data + await train_step(data_D, training_client, learning_rate, num_substeps, loss_fn) + + # 4. Evaluate + if eval_every > 0 and step % eval_every == 0: + for evaluator in evaluators: + metrics = await evaluator.evaluate(sampling_client) +``` + +**Key insights:** +- Rollouts → Trajectories → Advantages → Training Data → Train +- Advantages computed from trajectory rewards (GAE or similar) +- Training data includes: model_input, targets, advantages (for loss weighting) +- Uses Tinker's TrainingClient (abstracts distributed training) + +#### **5. From Transitions to Training Examples** + +How multi-turn episodes become training examples: + +```python +# Each Transition has: +# - ob: tinker.ModelInput (the prompt) +# - ac: TokensWithLogprobs (the generated tokens) +# - reward: float +# - episode_done: bool + +# For multi-turn: +# Transition 1: ob=[system, user], ac=[search(...)], reward=0.0 +# Transition 2: ob=[system, user, assistant, tool], ac=[Answer: X], reward=1.0 + +# These become training examples: +# Example 1: input=[system, user], target=[search(...)], advantage=A1 +# Example 2: input=[system, user, assistant, tool], target=[Answer: X], advantage=A2 +``` + +**The advantage computation ensures:** +- Later steps (with actual rewards) get higher advantage +- Early steps (reward=0) get credit via bootstrapping +- Model learns the full multi-turn policy + +--- + +## Key Design Decisions + +1. **Text Parsing vs Native Tool Calling?** - BlackJack uses text parsing, Tinker uses tags. **Rec:** Start with text parsing (simpler). + +2. **Episode Granularity?** - BlackJack: One episode per step. Tinker: One episode for full conversation. **Rec:** One episode per step (matches GRPO). + +3. **Message History Management?** - BlackJack: Rebuilt in prompt. Tinker: Explicit list. **Rec:** Explicit list (clearer, easier to debug). + +4. **Reward Assignment?** - BlackJack: Final reward to all steps. Tinker: Sparse reward at end. **Rec:** Final reward to all steps (simpler for GRPO). + +5. **Environment Integration?** - BlackJack: Custom loop. Tinker: Environment manages flow. **Rec:** Custom loop (more control, matches BlackJack). + +--- + +## Example 3: VERL Multi-turn + Tool Calling (SGLang) + +**Location:** `/home/felipemello/forge/verl/` + +VERL provides a production-ready implementation of multi-turn tool calling with SGLang backend. This is highly relevant as a reference for Forge. + +### Architecture + +``` +Ray Trainer → SGLangRollout → SGLang Engine + ↓ +Agent Loop (State Machine) → Tool Execution + ↓ +AsyncRolloutRequest → Message History → Episodes +``` + +### Key Components + +**1. State Machine Pattern** + +```python +class AgentState(Enum): + PENDING = "pending" + GENERATING = "generating" + PROCESSING_TOOLS = "processing_tools" + INTERACTING = "interacting" + TERMINATED = "terminated" + +# Main loop +while state != AgentState.TERMINATED: + if state == AgentState.PENDING: + state = await _handle_pending_state(agent_data, sampling_params) + elif state == AgentState.GENERATING: + state = await _handle_generating_state(agent_data, sampling_params) + elif state == AgentState.PROCESSING_TOOLS: + state = await _handle_processing_tools_state(agent_data) + elif state == AgentState.INTERACTING: + state = await _handle_interacting_state(agent_data) +``` + +**2. Tool Definition (YAML Config)** + +```yaml +# gsm8k_tool_config.yaml +tools: + - class_name: "verl.tools.gsm8k_tool.Gsm8kTool" + config: + type: native + tool_schema: + type: "function" + function: + name: "calc_gsm8k_reward" + description: "Calculate reward for GSM8K answer" + parameters: + type: "object" + properties: + answer: + type: "string" + description: "The model's answer" + required: ["answer"] +``` + +**3. Tool Base Class** + +```python +class BaseTool: + async def create(self, instance_id: str = None, **kwargs) -> tuple[str, ToolResponse]: + """Create tool instance for a trajectory""" + return instance_id, ToolResponse() + + async def execute(self, instance_id: str, parameters: dict) -> tuple[ToolResponse, float, dict]: + """Execute tool, return (response, step_reward, metrics)""" + return ToolResponse(text="result"), 0.0, {} + + async def calc_reward(self, instance_id: str, **kwargs) -> float: + """Calculate final reward for this instance""" + return 0.0 + + async def release(self, instance_id: str, **kwargs) -> None: + """Cleanup tool instance""" + pass +``` + +**4. Multi-turn Rollout Flow** + +```python +async def _async_rollout_a_request(self, req: AsyncRolloutRequest, **kwargs): + current_turns = 0 + + while current_turns < max_assistant_turns: + # Generate model response + output = await self._engine.async_generate( + input_ids=req.get_generation_prompt_ids(tokenizer), + sampling_params=sampling_params, + return_logprob=True + ) + + # Parse response for tool calls + if self._function_call_parser.has_tool_call(output["text"]): + # Parse tool calls + _, tool_calls = self._function_call_parser.parse_non_stream(output["text"]) + + # Execute tools in parallel + tool_results = await asyncio.gather(*[ + self._tool_map[tc.name].execute(req.request_id, tc.arguments) + for tc in tool_calls + ]) + + # Add tool responses to message history + req.add_tool_response_messages(tokenizer, [resp for resp, _, _ in tool_results]) + + # Continue generation + current_turns += 1 + else: + # No tool call, terminate or continue with user interaction + break + + # Calculate final rewards from all tools + tool_rewards = await asyncio.gather(*[ + tool.calc_reward(req.request_id) for tool in tools_used + ]) + + req.finalize(tokenizer, tool_rewards, finish_reason) + return req +``` + +**5. Message History Management** + +```python +class AsyncRolloutRequest: + messages: list[Message] # Full conversation history + + def add_assistant_message(self, tokenizer, content: str, tool_calls=None): + msg = Message(role="assistant", content=content, tool_calls=tool_calls) + self.messages.append(msg) + # Update token IDs + new_ids = tokenizer.apply_chat_template([msg], add_generation_prompt=False) + self.response_ids = torch.cat([self.response_ids, new_ids]) + self.response_mask += [1] * len(new_ids) # LLM-generated tokens + + def add_tool_response_messages(self, tokenizer, tool_responses: list[ToolResponse]): + for tool_resp in tool_responses: + msg = Message(role="tool", content=tool_resp.text) + self.messages.append(msg) + # Tokenize tool response + new_ids = tokenizer.apply_chat_template([msg], add_generation_prompt=True) + self.prompt_ids = torch.cat([self.prompt_ids, new_ids]) + self.response_mask += [0] * len(new_ids) # Not LLM-generated +``` + +**6. Response Mask Pattern** + +```python +# For multi-turn with tools: +# responses: |<- LLM gen ->|<- tool_calls ->|<- LLM gen ->|<- padding ->| +# response_mask: | 1, 1, 1, 1 | 0, 0, 0, 0 | 1, 1, 1, 1 | 0, 0, 0, 0 | +# +# 1 = LLM-generated tokens (train on these) +# 0 = Tool results, padding (don't train on these) + +batch = { + "prompts": prompt_ids, # [batch, prompt_len] + "responses": response_ids, # [batch, response_len] + "response_mask": response_mask, # [batch, response_len] - key for multi-turn! + "input_ids": input_ids, # [batch, prompt_len + response_len] + "attention_mask": attention_mask, # [batch, prompt_len + response_len] + "position_ids": position_ids, # [batch, prompt_len + response_len] +} +``` + +**7. Configuration** + +```yaml +# Config file +multi_turn: + enable: True + max_assistant_turns: 5 + max_user_turns: 3 + max_parallel_calls: 5 + tool_config_path: "config/tool_config/gsm8k_tool_config.yaml" + format: "hermes" # or "gpt-oss" + max_tool_response_length: 2048 + tool_response_truncate_side: "left" +``` + +### Key Insights + +✅ **State machine is explicit**: Clear transition logic between PENDING → GENERATING → TOOL_CALLING → GENERATING +✅ **Tools are async**: Parallel execution with `asyncio.gather()` +✅ **Two-phase rewards**: Step rewards during execution + final reward at end +✅ **Response mask critical**: Distinguishes LLM tokens (train) from tool results (don't train) +✅ **Message history explicit**: Full OpenAI-style conversation in `messages` list +✅ **Tool lifecycle**: create() → execute() (multiple times) → calc_reward() → release() +✅ **Config-driven tools**: Tools loaded from YAML, making it easy to swap +✅ **SGLang integration**: Uses SGLang's native function calling parser + +### Response Mask Construction (Concatenated Episodes) + +**VERL uses Strategy B:** All turns concatenated into ONE Episode with response_mask + +**How mask is built during generation:** +```python +# From tool_agent_loop.py:1370-1470 + +# When LLM generates (GENERATING state): +agent_data.response_ids = output.token_ids +agent_data.prompt_ids += agent_data.response_ids # CONCATENATE +agent_data.response_mask += [1] * len(agent_data.response_ids) # TRAIN + +# When tool executes (PROCESSING_TOOLS state): +response_ids = tokenizer.apply_chat_template(tool_messages, ...) +agent_data.prompt_ids += response_ids # CONCATENATE +agent_data.response_mask += [0] * len(response_ids) # DON'T TRAIN +``` + +**Example multi-turn sequence:** +```python +# prompt_ids: [sys, user] + [llm_gen_1] + [tool_result_1] + [llm_gen_2] +# response_mask: [0, 0 ] + [1,1,1,1 ] + [0,0,0,0 ] + [1,1,1,1 ] +# +# 1 = Train on these (LLM output) +# 0 = Ignore these (prompts, tool results) +``` + +### Loss Computation with Response Mask + +**File:** `verl/trainer/ppo/core_algos.py:787-808` + +**How VERL applies the mask during training:** + +```python +def agg_loss(loss_mat: torch.Tensor, loss_mask: torch.Tensor, loss_agg_mode: str): + """ + Args: + loss_mat: (batch, seq_len) - per-token loss + loss_mask: (batch, seq_len) - 1=train, 0=ignore + """ + if loss_agg_mode == "token-mean": + # Average over all unmasked tokens + loss = masked_mean(loss_mat, loss_mask) + + elif loss_agg_mode == "seq-mean-token-mean": + # Average tokens per sequence, then average sequences + seq_token_count = torch.sum(loss_mask, dim=-1) # Count per seq + seq_losses = torch.sum(loss_mat * loss_mask, dim=-1) / (seq_token_count + 1e-8) + loss = seq_losses.mean() + + return loss +``` + +**Usage in policy loss:** +```python +# Compute per-token policy gradient loss +pg_losses = -advantages * log_prob # (batch, seq_len) + +# Apply mask and aggregate +pg_loss = agg_loss( + loss_mat=pg_losses, + loss_mask=response_mask, # Zeros out tool result tokens + loss_agg_mode="token-mean" +) +``` + +**Key mechanism:** +1. Element-wise multiplication: `loss_mat * loss_mask` zeros out masked tokens +2. Only unmasked tokens contribute to loss +3. Gradient flows only through LLM-generated tokens + +--- + +### VERL Deep Dive: Low-Level Implementation Details + +**NOW LET'S LOOK AT THE ACTUAL CODE** to understand how VERL really works under the hood. + +#### **State Machine Handlers** (`verl/experimental/agent_loop/tool_agent_loop.py:184-428`) + +The state machine handlers are where the magic happens. Here's the ACTUAL implementation: + +**1. PENDING → GENERATING: Prepare Prompt with Tools** + +```python +async def _handle_pending_state(self, agent_data: AgentData, sampling_params: dict) -> AgentState: + """Handle the pending state: prepare the prompt and start generation.""" + # Apply chat template with tools + if self.processor is not None: + # For multimodal models + raw_prompt = await self.loop.run_in_executor( + None, + lambda: self.processor.apply_chat_template( + agent_data.messages, + tools=self.tool_schemas, # <-- Tools passed here! + add_generation_prompt=True, + tokenize=False, + **self.apply_chat_template_kwargs, + ), + ) + model_inputs = self.processor(text=[raw_prompt], images=agent_data.image_data, return_tensors="pt") + agent_data.prompt_ids = model_inputs.pop("input_ids").squeeze(0).tolist() + else: + # For text-only models + agent_data.prompt_ids = await self.loop.run_in_executor( + None, + lambda: self.tokenizer.apply_chat_template( + agent_data.messages, + tools=self.tool_schemas, # <-- Tools passed to tokenizer + add_generation_prompt=True, + tokenize=True, + **self.apply_chat_template_kwargs, + ), + ) + return AgentState.GENERATING +``` + +**Key insight:** VERL uses the tokenizer/processor's `apply_chat_template()` with `tools=` parameter. The formatting happens inside the tokenizer (model-specific). + +**2. GENERATING: Call Model and Parse Tool Calls** + +```python +async def _handle_generating_state( + self, agent_data: AgentData, sampling_params: dict, ignore_termination: bool = False +) -> AgentState: + """Handle the generating state: generate model response and check for tool calls.""" + + # Generate using SGLang server + with simple_timer("generate_sequences", agent_data.metrics): + output = await self.server_manager.generate( + request_id=agent_data.request_id, + prompt_ids=agent_data.prompt_ids, + sampling_params=sampling_params, + image_data=agent_data.image_data, + ) + + # Track turn count + agent_data.assistant_turns += 1 + + # Accumulate response tokens + agent_data.response_ids = output.token_ids + agent_data.prompt_ids += agent_data.response_ids # <-- Concatenate! + agent_data.response_mask += [1] * len(agent_data.response_ids) # <-- Mark as LLM output + + if output.log_probs: + agent_data.response_logprobs += output.log_probs + + # Check termination conditions + if not ignore_termination and len(agent_data.response_mask) >= self.response_length: + return AgentState.TERMINATED + if self.max_assistant_turns and agent_data.assistant_turns >= self.max_assistant_turns: + return AgentState.TERMINATED + + # Extract tool calls using parser + _, agent_data.tool_calls = await self.tool_parser.extract_tool_calls(agent_data.response_ids) + + # Determine next state + if agent_data.tool_calls: + return AgentState.PROCESSING_TOOLS # <-- Has tool calls + elif self.interaction_config_file: + return AgentState.INTERACTING # <-- Need user input + else: + return AgentState.TERMINATED # <-- Done +``` + +**Key insights:** +- Response tokens are CONCATENATED to prompt_ids: `agent_data.prompt_ids += agent_data.response_ids` +- Response mask marks LLM output as `1` (train on these) +- Tool parser extracts tool calls from the generated token IDs + +**3. PROCESSING_TOOLS: Execute Tools in Parallel** + +```python +async def _handle_processing_tools_state(self, agent_data: AgentData) -> AgentState: + """Handle the processing tools state: execute tool calls and prepare tool responses.""" + add_messages: list[dict[str, Any]] = [] + new_images_this_turn: list[Any] = [] + + # Create tasks for parallel execution + tasks = [] + tool_call_names = [] + for tool_call in agent_data.tool_calls[: self.max_parallel_calls]: + tasks.append(self._call_tool(tool_call, agent_data.tools_kwargs)) + tool_call_names.append(tool_call.name) + + # Execute ALL tools in parallel + with simple_timer("tool_calls", agent_data.metrics): + responses = await asyncio.gather(*tasks) # <-- Parallel execution! + + # Process tool responses + for tool_response, tool_reward, _ in responses: + # Create message from tool response + if tool_response.image or tool_response.video: + # Multimodal content + content = [] + if tool_response.image: + content.append({"type": "image"}) + new_images_this_turn.append(tool_response.image) + if tool_response.text: + content.append({"type": "text", "text": tool_response.text}) + message = {"role": "tool", "content": content} + else: + # Text-only content + message = {"role": "tool", "content": tool_response.text or ""} + + add_messages.append(message) + + if tool_reward is not None: + agent_data.tool_rewards.append(tool_reward) + + agent_data.messages.extend(add_messages) + + # Tokenize tool responses + if self.processor is not None: + raw_tool_response = await self.loop.run_in_executor( + None, + lambda: self.processor.apply_chat_template( + add_messages, + add_generation_prompt=True, + tokenize=False, + **self.apply_chat_template_kwargs, + ), + ) + model_inputs = self.processor(text=[raw_tool_response], images=new_images_this_turn, return_tensors="pt") + response_ids = model_inputs.pop("input_ids").squeeze(0).tolist() + else: + response_ids = await self.loop.run_in_executor( + None, + lambda: self.tokenizer.apply_chat_template(add_messages, add_generation_prompt=True, tokenize=True), + ) + response_ids = response_ids[len(self.system_prompt) :] + + # Accumulate tool result tokens + agent_data.prompt_ids += response_ids + agent_data.response_mask += [0] * len(response_ids) # <-- Mark as NOT LLM output (don't train) + if agent_data.response_logprobs: + agent_data.response_logprobs += [0.0] * len(response_ids) + + agent_data.user_turns += 1 + return AgentState.GENERATING # <-- Continue generation +``` + +**Key insights:** +- Tools execute in parallel using `asyncio.gather(*tasks)` +- Tool results are tokenized and added to prompt_ids +- Response mask = `[0]` for tool results (DON'T train on these) +- After tools, loop back to GENERATING state + +**4. Tool Execution** (`_call_tool` method) + +```python +async def _call_tool( + self, tool_call: FunctionCall, tools_kwargs: dict[str, Any] +) -> tuple[ToolResponse, float, dict]: + """Call tool and return tool response.""" + tool, instance_id = None, None + try: + # Parse tool call + tool_name = tool_call.name + tool_args = json.loads(tool_call.arguments) + + # Get tool from map + tool = self.tools[tool_name] + kwargs = tools_kwargs.get(tool_name, {}) + + # Tool lifecycle: create → execute → release + instance_id, _ = await tool.create(create_kwargs=kwargs.get("create_kwargs", {})) + tool_execution_response, tool_reward, res = await tool.execute(instance_id, tool_args) + + except Exception as e: + logger.warning(f"Error when executing tool: {e}") + return ( + ToolResponse(text=f"Error when executing tool: {e}"), + 0.0, + {}, + ) + finally: + if tool and instance_id: + await tool.release(instance_id) + + # Truncate long responses + tool_response_text = tool_execution_response.text + if tool_response_text and len(tool_response_text) > self.max_tool_response_length: + if self.tool_response_truncate_side == "left": + tool_response_text = tool_response_text[: self.max_tool_response_length] + "...(truncated)" + elif self.tool_response_truncate_side == "right": + tool_response_text = "(truncated)..." + tool_response_text[-self.max_tool_response_length :] + else: + length = self.max_tool_response_length // 2 + tool_response_text = tool_response_text[:length] + "...(truncated)..." + tool_response_text[-length:] + + return ToolResponse(text=tool_response_text, image=tool_execution_response.image), tool_reward, res +``` + +**Key insights:** +- Tool lifecycle: `create()` → `execute()` → `release()` +- Tool responses can be truncated +- Each tool can return a reward +- Error handling with try/finally to ensure cleanup + +#### **Response Mask Pattern** + +The response mask is CRITICAL for multi-turn training: + +```python +# Example multi-turn sequence: +# prompt_ids: [system, user, ] + [llm_gen_1] + [tool_result_1] + [llm_gen_2] + ... +# response_mask: [ 0 , 0 ] + [ 1 ] + [ 0 ] + [ 1 ] + ... +# +# 1 = Train on these tokens (LLM output) +# 0 = Don't train on these (prompts, tool results) +``` + +In VERL, this is built incrementally: +- `agent_data.response_mask += [1] * len(agent_data.response_ids)` when LLM generates +- `agent_data.response_mask += [0] * len(response_ids)` when tool responds + +#### **Generator Integration** (How SGLang is called) + +The `server_manager.generate()` call abstracts the SGLang engine: + +```python +# From sglang_rollout.py: +output = await self.server_manager.generate( + request_id=agent_data.request_id, + prompt_ids=agent_data.prompt_ids, + sampling_params=sampling_params, + image_data=agent_data.image_data, +) +# Returns: output.token_ids, output.log_probs +``` + +This uses SGLang's async engine internally, which handles: +- Native function calling (if model supports it) +- Tool call parsing (using FunctionCallParser) +- Structured output + +--- + +## Example 4: NeMo-RL Async vLLM with Pipelined Tool Calling + +**Location:** `/home/felipemello/forge/RL/` + +NeMo-RL implements async vLLM engines with **sample-level concurrency** that enables pipelined tool calling. When one sample is waiting for a tool response, other samples continue generating without blocking. + +### Architecture + +``` +Async GRPO Loop → run_async_multi_turn_rollout() → Per-Sample Async Tasks + ↓ +Sample 1: [Turn 1 Gen] → [Tool Call] → [Waiting...] → [Turn 2 Gen] → ... +Sample 2: [Turn 1 Gen] → [Turn 2 Gen] → [Tool Call] → [Waiting...] → ... +Sample 3: [Turn 1 Gen] → [Done] + ↓ +All run concurrently via asyncio.gather() + ↓ +vLLM AsyncLLM Engine handles multiple in-flight requests +``` + +### Key Configuration + +**1. Enable Async vLLM Engine** (`grpo_math_1B.yaml:218`) +```yaml +policy: + generation: + backend: "vllm" + vllm_cfg: + async_engine: true # Enable async mode for pipelining + tensor_parallel_size: 1 + pipeline_parallel_size: 1 +``` + +**2. Worker Selection** (`vllm_generation.py:155-160`) +```python +if self.cfg["vllm_cfg"]["async_engine"]: + worker_cls = "nemo_rl.models.generation.vllm.vllm_worker_async.VllmAsyncGenerationWorker" +else: + worker_cls = "nemo_rl.models.generation.vllm.vllm_worker.VllmGenerationWorker" +``` + +### Sample-Level Concurrency Pattern + +**1. Top-level Async Rollout** (`rollouts.py:780-936`) +```python +def run_async_multi_turn_rollout( + policy_generation: GenerationInterface, + input_batch: BatchedDataDict[DatumSpec], + tokenizer: TokenizerType, + task_to_env: dict[str, EnvironmentInterface], + max_seq_len: int, + max_rollout_turns: int = 999999, + greedy: bool = False, +) -> tuple[BatchedDataDict[DatumSpec], dict[str, Any]]: + """Run multi-turn rollouts with sample-level processing. + + Each sample in the batch proceeds through its interaction independently. + Async generation is used internally when available. + """ + + async def _async_rollout_implementation(): + batch_size = len(input_batch["message_log"]) + + # Prepare initial states for each sample + sample_initial_states = [...] + + # Create tasks for all samples + sample_tasks = [ + run_single_sample_with_error_handling(i, sample_state) + for i, sample_state in enumerate(sample_initial_states) + ] + + # Execute ALL sample rollouts CONCURRENTLY + sample_results = await asyncio.gather(*sample_tasks, return_exceptions=False) + + return final_batch, rollout_metrics + + return asyncio.run(_async_rollout_implementation()) +``` + +**Key Insight**: Each sample gets its own async task that runs independently. This is the foundation of pipelining. + +**2. Per-Sample Multi-turn Loop** (`rollouts.py:611-777`) +```python +async def run_sample_multi_turn_rollout( + sample_idx: int, + initial_sample_state: dict, + policy_generation: GenerationInterface, + tokenizer: TokenizerType, + task_to_env: dict[str, EnvironmentInterface], + max_seq_len: int, + max_rollout_turns: int = 999999, + greedy: bool = False, +) -> tuple[dict, dict[str, Any]]: + """Run a multi-turn rollout for a single sample. + + This function manages the complete lifecycle of one sample's interaction. + """ + current_message_log = copy.deepcopy(initial_sample_state["message_log"]) + + for turn in range(max_rollout_turns): + if terminated or truncated: + break + + # 1. Generate response using async generation + ( + updated_message_log, + generated_tokens, + input_lengths, + gen_metrics, + ) = await async_generate_response_for_sample_turn( + policy_generation, + current_message_log, + current_stop_strings, + tokenizer, + max_seq_len, + greedy=greedy, + ) + current_message_log = updated_message_log + + # 2. Execute tool call in environment + sample_batch = BatchedDataDict[DatumSpec]({ + "message_log": [current_message_log], + "extra_env_info": [current_extra_env_info], + "task_name": [task_name], + }) + + env_output = calculate_rewards(sample_batch, task_to_env) + + # 3. Add environment response to message log + env_message = { + "role": env_output.observations[0]["role"], + "content": env_obs_content, + "token_ids": tokenized_obs, + } + current_message_log.append(env_message) + + # 4. Check termination and continue + terminated = env_output.terminateds[0].item() + + return final_sample_state, sample_metrics +``` + +**Key Insight**: While this sample is waiting for `calculate_rewards()` (tool execution), other samples continue their own `async_generate_response_for_sample_turn()` calls. + +**3. Async Generation Per Sample** (`rollouts.py:544-608`) +```python +async def async_generate_response_for_sample_turn( + policy_generation: GenerationInterface, + sample_message_log: list[dict], + sample_stop_strings: list[str] | None, + tokenizer: TokenizerType, + max_seq_len: int, + greedy: bool = False, +) -> tuple[list[dict], torch.Tensor, torch.Tensor, dict[str, float]]: + """Generate a response for a single sample's turn using async generation.""" + + # Convert single sample to batch format + batch_message_logs = [sample_message_log] + + # Generate response using async version + updated_batch, generated_ids, gen_metrics = await generate_responses_async( + policy_generation, + generation_input_data, + dummy_batch, + tokenizer, + input_lengths=input_lengths, + include_logprobs=True, + greedy=greedy, + ) + + return updated_message_log, generated_tokens, input_lengths, gen_metrics +``` + +**4. Async vLLM Generation** (`rollouts.py:120-222`) +```python +async def generate_responses_async( + policy_generation: GenerationInterface, + generation_input_data: BatchedDataDict[GenerationDatumSpec], + batch: BatchedDataDict[DatumSpec], + tokenizer: TokenizerType, + input_lengths: torch.Tensor, + include_logprobs: bool = True, + greedy: bool = False, +) -> tuple[BatchedDataDict[DatumSpec], list[torch.Tensor], dict[str, float | int]]: + """Async version of generate_responses that properly calls generate_async.""" + + # Check if this is vLLM with async_engine enabled + use_async_generation = ( + hasattr(policy_generation, "cfg") + and "vllm_cfg" in policy_generation.cfg + and policy_generation.cfg["vllm_cfg"]["async_engine"] + and hasattr(policy_generation, "generate_async") + ) + + assert use_async_generation, ( + "Async generation is not enabled. Please enable async generation by setting " + "async_engine=True in the vllm_cfg section of the policy config." + ) + + # Use async generation with per-sample streaming + collected_indexed_outputs: list[ + tuple[int, BatchedDataDict[GenerationOutputSpec]] + ] = [] + async for original_idx, single_item_output in policy_generation.generate_async( + generation_input_data, greedy=greedy + ): + collected_indexed_outputs.append((original_idx, single_item_output)) + + # Sort by original_idx to ensure order matches generation_input_data + collected_indexed_outputs.sort(key=lambda x: x[0]) + + # Extract in correct order + ordered_batched_data_dicts = [item for _, item in collected_indexed_outputs] + + generation_outputs = BatchedDataDict.from_batches( + ordered_batched_data_dicts, + pad_value_dict={"output_ids": tokenizer.pad_token_id, "logprobs": 0.0}, + ) + + # Append to message log + for i, (text, input_length, total_length) in enumerate( + zip(generated_texts, input_lengths, unpadded_sequence_lengths) + ): + assistant_message = { + "role": "assistant", + "content": text, + "token_ids": output_ids[i, input_length:total_length], + } + + if include_logprobs and "logprobs" in generation_outputs: + assistant_message["generation_logprobs"] = generation_outputs["logprobs"][ + i, input_length:total_length + ] + + batch["message_log"][i].append(assistant_message) + + # Track per-worker load balancing + if "gen_leader_worker_idx" in generation_outputs: + v = generation_outputs["gen_leader_worker_idx"][0] + gen_metrics["gen_leader_worker_idx"] = ( + int(v[0]) if isinstance(v, list) else int(v) + ) + + return batch, generated_ids, gen_metrics +``` + +### vLLM Async Engine Implementation + +**1. AsyncLLM Engine** (`vllm_worker_async.py:128-146`) +```python +def _create_engine(self, llm_kwargs: dict[str, Any]) -> None: + from vllm.v1.engine.async_llm import AsyncLLM + from vllm.engine.arg_utils import AsyncEngineArgs + + self.llm_async_engine_args = AsyncEngineArgs(**llm_kwargs) + self.llm = AsyncLLM.from_engine_args(self.llm_async_engine_args) + + # Optionally expose HTTP server for OpenAI-compatible API + if self.cfg["vllm_cfg"].get("expose_http_server"): + self.server_thread, self.base_url, self.http_server = ( + self._setup_vllm_server() + ) +``` + +**2. Async Generation with Per-Sample Yielding** (`vllm_worker_async.py:496-714`) +```python +async def generate_async( + self, + data: BatchedDataDict[GenerationDatumSpec], + greedy: bool = False, +) -> AsyncGenerator[tuple[int, BatchedDataDict[GenerationOutputSpec]], None]: + """Generate a batch of data using vLLM's AsyncLLMEngine, yielding results as they are ready. + + Yields: + Tuple of (original_index, BatchedDataDict for the single sequence) + """ + if not self.cfg["vllm_cfg"]["async_engine"]: + raise RuntimeError( + "generate_async can only be used when async_engine is enabled in vLLM config." + ) + + batch_size = input_ids_batch.shape[0] + + # Ensure generate_async only receives single samples + assert batch_size == 1, ( + f"generate_async is restricted to handle only single samples, " + f"but received batch_size={batch_size}." + ) + + async def process_single_sample(sample_idx): + """Process a single sample and return the result.""" + request_id = str(uuid.uuid4()) + + # Generate using vLLM async engine + vllm_request_generator = self.llm.generate( + prompt=prompt, + sampling_params=sampling_params_for_request, + request_id=request_id, + ) + + # Get the final result from the generator + final_request_output = None + async for req_output in vllm_request_generator: + final_request_output = req_output + + # Process the output + generation_details = final_request_output.outputs[0] + generated_token_ids = list(generation_details.token_ids) + + # Build result batch + result_batch = BatchedDataDict[GenerationOutputSpec]({ + "output_ids": output_ids_single_item_batched, + "logprobs": logprobs_single_item, + "generation_lengths": generation_lengths_tensor, + "unpadded_sequence_lengths": unpadded_sequence_lengths_tensor, + }) + + return (sample_idx, result_batch) + + # Create tasks for all samples and yield results as they complete + sample_tasks = [ + asyncio.create_task(process_single_sample(i)) for i in range(batch_size) + ] + + # Yield results as they become available (NOT in order!) + for completed_task in asyncio.as_completed(sample_tasks): + try: + result = await completed_task + yield result + except Exception as e: + # Cancel remaining tasks + for task in sample_tasks: + if not task.done(): + task.cancel() + await asyncio.gather(*sample_tasks, return_exceptions=True) + raise e +``` + +**Key Insight**: +- Uses `asyncio.as_completed()` to yield results as they finish +- This means faster samples don't wait for slower ones +- vLLM's async engine can handle multiple concurrent requests + +### How Tool Calling is Pipelined + +**Scenario: 4 samples in a batch, each doing multi-turn tool calling** + +``` +Time → + +Sample 1: [Gen T1]─────────┐ [Gen T2]──────────┐ + ↓ ↓ + [Tool Exec T1] [Tool Exec T2] + (blocking) (blocking) + +Sample 2: [Gen T1]─────────┐ [Gen T2]──────────┐ + ↓ ↓ + [Tool Exec T1] [Tool Exec T2] + +Sample 3: [Gen T1]─────────┐ [Gen T2]──[Done] + ↓ + [Tool Exec T1] + +Sample 4: [Gen T1]──[Done] + +vLLM AsyncLLM: [Req1]─[Req2]─[Req3]─[Req4]─[Req1.T2]─[Req2.T2]─[Req3.T2] + All in-flight simultaneously, results streamed as ready +``` + +**Why This Works:** +1. Each sample has its own `async def run_sample_multi_turn_rollout()` task +2. When Sample 1 calls a tool and blocks on `calculate_rewards()`, its task yields control +3. Sample 2, 3, 4 continue executing their own generations +4. vLLM's `AsyncLLM` engine maintains a queue of in-flight generation requests +5. As soon as one generation completes, the next request starts processing +6. No sample blocks any other sample + +### Comparison with Standard Batch Processing + +**Standard (Synchronous) Approach:** +``` +Batch of 4 samples → Generate all 4 → Wait for ALL to finish → Execute all 4 tools → Repeat +Problem: Slowest sample blocks the entire batch +``` + +**NeMo-RL Async Approach:** +``` +Sample 1: Gen → Tool → Gen → Tool → Done +Sample 2: Gen → Tool → Gen → Done +Sample 3: Gen → Done +Sample 4: Gen → Tool → Done + +All happening concurrently! +Problem solved: Fast samples don't wait for slow ones +``` + +### Key Insights for vLLM Usage + +✅ **Async engine is the foundation**: Must set `async_engine: true` in vLLM config + +✅ **Sample-level concurrency**: Use `asyncio.gather()` to run all samples concurrently + +✅ **vLLM handles the queue**: AsyncLLM engine manages multiple in-flight requests internally + +✅ **Non-blocking tool calls**: Tool execution happens outside vLLM, doesn't block generation + +✅ **Streaming results**: Use `async for` to stream results as they complete, not FIFO + +✅ **Per-worker load balancing**: Engine tracks which worker handled each request + +✅ **Message history tracking**: Each sample maintains its own message log independently + +✅ **Response ordering**: Results can arrive out-of-order, must track original indices + +### Message Log Structure (Concatenated Storage) + +**File:** `nemo_rl/experience/rollouts.py:94-100` + +**NeMo-RL stores token IDs in EACH message:** + +```python +# After generation: +assistant_message = { + "role": "assistant", + "content": generated_text, + "token_ids": output_ids[i, input_length:total_length], # Store IDs + "generation_logprobs": logprobs[i, input_length:total_length], # Store logprobs +} +batch["message_log"][i].append(assistant_message) + +# Full conversation example: +message_log = [ + { + "role": "user", + "content": "Task prompt", + "token_ids": [101, 102, 103, ...] + }, + { + "role": "assistant", + "content": "search(...)", + "token_ids": [345, 346, 347, ...], # LLM output + "generation_logprobs": [-0.1, -0.2, ...] + }, + { + "role": "tool", + "content": "Search results...", + "token_ids": [456, 457, 458, ...] # Tool result + }, + { + "role": "assistant", + "content": "Answer: ...", + "token_ids": [567, 568, 569, ...], # LLM output + "generation_logprobs": [-0.15, -0.18, ...] + }, +] +``` + +**Why this structure:** +- Enables later concatenation into single training sequence +- Preserves per-token logprobs for policy gradient +- Can build response_mask by checking message roles +- Each message is self-contained with all needed info + +**Building response_mask from message_log:** +```python +response_mask = [] +for msg in message_log: + token_len = len(msg["token_ids"]) + if msg["role"] == "assistant": + response_mask.extend([1] * token_len) # TRAIN + else: + response_mask.extend([0] * token_len) # IGNORE +``` + +--- + +### vLLM Async API Pattern + +**Key Pattern from NeMo-RL:** +```python +# 1. Create AsyncLLM engine +from vllm.v1.engine.async_llm import AsyncLLM +llm = AsyncLLM.from_engine_args(args) + +# 2. For each sample, submit async request +async def process_sample(sample): + request_id = str(uuid.uuid4()) + + # This returns an async generator + vllm_generator = llm.generate( + prompt=prompt, + sampling_params=sampling_params, + request_id=request_id, + ) + + # Stream results (or just get final) + final_output = None + async for output in vllm_generator: + final_output = output + + return final_output + +# 3. Run all samples concurrently +tasks = [asyncio.create_task(process_sample(s)) for s in samples] + +# 4. Yield results as they complete +for completed in asyncio.as_completed(tasks): + result = await completed + yield result +``` + +**What vLLM Does Internally:** +- Maintains a queue of active requests +- Schedules requests onto available GPU resources +- Streams tokens as they're generated +- Returns complete outputs when done +- Handles multiple concurrent requests without blocking + +### Configuration for Async Tool Calling + +**Minimal Config:** +```yaml +policy: + generation: + backend: "vllm" + vllm_cfg: + async_engine: true # Enable async mode + tensor_parallel_size: 1 + pipeline_parallel_size: 1 + gpu_memory_utilization: 0.6 + max_model_len: 2048 +``` + +**For Multi-turn with Tools:** +```yaml +grpo: + max_rollout_turns: 10 # Allow up to 10 turns per sample + +# Each sample can make multiple tool calls across turns +# All samples run concurrently without blocking each other +`` + +### Architecture Summary + +``` +┌─────────────────────────────────────────────────────────┐ +│ Async GRPO Training Loop │ +│ └─ run_async_multi_turn_rollout() │ +│ └─ asyncio.gather([ │ +│ run_sample_multi_turn_rollout(sample_1), │ +│ run_sample_multi_turn_rollout(sample_2), │ +│ run_sample_multi_turn_rollout(sample_3), │ +│ ... │ +│ ]) │ +└─────────────────────────────────────────────────────────┘ + ↓ +┌─────────────────────────────────────────────────────────┐ +│ Per-Sample Multi-turn Loop (runs independently) │ +│ for turn in range(max_turns): │ +│ 1. await async_generate_response_for_sample_turn() │ +│ └─ await generate_responses_async() │ +│ └─ async for idx, output in │ +│ policy_generation.generate_async() │ +│ 2. calculate_rewards() - Execute tool │ +│ 3. Add tool result to message log │ +│ 4. Continue if not done │ +└─────────────────────────────────────────────────────────┘ + ↓ +┌─────────────────────────────────────────────────────────┐ +│ vLLM AsyncLLM Engine (handles queue internally) │ +│ - Receives requests with unique request_id │ +│ - Maintains queue of in-flight requests │ +│ - Schedules onto available GPU resources │ +│ - Streams results as they complete (not FIFO) │ +│ - Multiple requests processed simultaneously │ +└─────────────────────────────────────────────────────────┘ +``` + +### Key Takeaways for Forge + +1. **Use async/await pattern**: Essential for non-blocking tool execution +2. **Sample-level tasks**: Each sample should be its own async task +3. **vLLM async engine**: Handles the queueing and scheduling internally +4. **Concurrent execution**: Use `asyncio.gather()` to run all samples together +5. **Independent message logs**: Each sample maintains its own conversation history +6. **Stream results**: Use `async for` to handle results as they arrive +7. **Tool calls don't block**: While one sample waits for tool response, others continue + +**Critical for Performance:** +- Setting `async_engine: true` enables the pipelining +- Each sample runs independently, so fast samples don't wait for slow ones +- vLLM's async engine manages the GPU efficiently +- Tool execution happens outside vLLM, doesn't block the generation queue + +--- + +--- + +## Example 5: PRIME-RL Wiki Search (Verifiers + vLLM Tool Calling) + +**Location:** `/home/felipemello/forge/prime-rl/` + +PRIME-RL is a production framework for async RL training that integrates with the `verifiers` environment library. The wiki-search example demonstrates multi-turn tool calling with native function calling support in vLLM. + +### Architecture + +``` +Orchestrator (Rollout Generation) + ↓ +vLLM Inference Server (Native Tool Calling) ← BLACK BOX + ↓ +Verifiers Environment (ToolEnv) ← BLACK BOX + ↓ +Trainer (LoRA Fine-tuning) +``` + +### Key Philosophy + +**Environment-Centric Design**: Unlike BlackJack/Tinker/VERL which implement rollout loops manually, PRIME-RL delegates multi-turn and tool calling to **external libraries** (`vLLM` for tool calling, `verifiers` for multi-turn loop). The framework just calls `env.generate()` and receives back complete rollouts. + +**IMPORTANT:** Much of the implementation is in external libraries (vLLM and verifiers) whose source isn't in this codebase, so we can only see the API boundaries. + +### Key Components + +**1. vLLM Configuration - Enabling Native Tool Calling** + +```toml +# examples/wiki_search/rl.toml +[inference.model] +enable_auto_tool_choice = true # vLLM flag - enables tool calling +tool_call_parser = "hermes" # Use Hermes format parser +``` + +**What this does (from prime-rl source):** +```python +# src/prime_rl/inference/config.py:79-91 +enable_auto_tool_choice: bool = False # Passed to vLLM as `--enable-auto-tool-choice` +tool_call_parser: str = "hermes" # Passed to vLLM as `--tool-call-parser` + +# src/prime_rl/inference/vllm/server.py:59-60 +if args.tool_parser_plugin and len(args.tool_parser_plugin) > 3: + ToolParserManager.import_tool_parser(args.tool_parser_plugin) +``` + +**What we DON'T know (vLLM internals):** +- Exactly how the hermes parser works +- How vLLM formats tools in prompts +- The exact format of parsed tool calls + +**What we DO know:** +- vLLM has built-in parsers for different tool formats +- "hermes" refers to Nous Hermes tool calling format +- These flags are just passed through to vLLM's engine + +**2. Multi-turn Rollout Flow (From Tinker-Cookbook Example)** + +The actual multi-turn logic is in the **verifiers library**. Here's how it's called: + +```python +# tinker-cookbook/recipes/verifiers_rl/train.py:108-147 + +async def run_one_rollout(): + # Hook to capture each generation step + recorded = [] + def hook(messages, model_input, tokens, logprobs): + recorded.append((list(messages), model_input, list(tokens), list(logprobs))) + + local_client = TinkerAsyncOpenAIClient(sampling_client, renderer, tokenizer) + local_client.set_generation_hook(hook) # Track each turn + + # THE KEY CALL - environment handles multi-turn loop + completion, state = await builder.vf_env.rollout( + client=local_client, # OpenAI-compatible client + model="tinker", + prompt=builder.prompt, # Initial user message + answer=builder.answer, + task=builder.task, + info=builder.info, + sampling_args={}, + ) + + # Score the final result + rs = await builder.vf_env.rubric.score_rollout( + prompt=builder.prompt, + completion=completion, + answer=builder.answer, + state=state, + task=builder.task, + info=builder.info, + ) + + # Build trajectory from recorded turns + transitions = [] + for _msgs, model_input, tokens, logprobs in recorded: + transitions.append(Transition( + ob=model_input, + ac=TokensWithLogprobs(tokens=tokens, maybe_logprobs=logprobs), + reward=0.0, + episode_done=False, + metrics={}, + )) + transitions[-1].reward = float(rs.reward) # Assign final reward + transitions[-1].episode_done = True +``` + +**What `vf_env.rollout()` does (we DON'T have the source):** +1. Calls `client.chat.completions.create()` in a loop +2. Parses model output for tool calls +3. Executes tools and adds results to conversation +4. Continues until task complete or max turns +5. Returns final completion + full state + +**What we DO see:** +- Environment calls the client multiple times (hook records each turn) +- Each turn captures: messages, prompt, tokens, logprobs +- Final reward is assigned after full episode +- All turns get reward=0 except the last + +**3. PRIME-RL's Simpler API** + +PRIME-RL doesn't even track individual turns - it just calls env.generate(): + +```python +# src/prime_rl/utils/vf.py:81-99 +async def generate_group( + client: AsyncOpenAI, + env: vf.Environment, + model_name: str, + problem: dict, + rollouts_per_example: int, + sampling_args: dict, +) -> vf.GenerateOutputs: + """Environment handles everything: multi-turn, tool calling, scoring.""" + semaphore = get_semaphore() + + return await env.generate( + inputs=Dataset.from_list([problem] * rollouts_per_example), + client=client, + model=model_name, + sampling_args=sampling_args, + semaphore=semaphore, + ) +``` + +**4. Processing Results - The ACTUAL Code (scheduler.py:71-86)** + +This is where PRIME-RL processes the completed rollouts: + +```python +def process_generate_outputs(self, generate_outputs: GenerateOutputs) -> list[Rollout]: + # Call verifiers processing function (masks tool results) + processed_outputs: ProcessedOutputs = self.env.process_env_results_vllm( + prompts=generate_outputs.prompt, + completions=generate_outputs.completion, + states=generate_outputs.state, + rewards=generate_outputs.reward, + processing_class=self.tokenizer, + max_seq_len=self.seq_len, + mask_env_responses=self.config.mask_env_responses, # KEY: Don't train on tool results + zero_truncated_completions=self.config.zero_truncated_completions, + mask_truncated_completions=self.config.mask_truncated_completions, + ) + + # Rest is standard RL processing + advantages = compute_advantages(...) + rollouts = make_rollouts(generate_outputs, processed_outputs, advantages, is_truncated) + self.buffer.update(rollouts) + accepted_rollouts = self.buffer.sample_rollouts(n=num_problems) + return accepted_rollouts +``` + +**What `mask_env_responses` does (from verifiers library):** +- Similar to VERL's `response_mask` concept +- Marks which tokens to train on vs ignore +- Tool results are masked out (set to ignore) +- Only LLM-generated tokens are trained on + +**5. Rollout Data Structure (utils/vf.py:136-148)** + +```python +class Rollout(TypedDict): + example_id: int + task: str + prompt_ids: list[int] + prompt_mask: list[int] # What to compute loss on in prompt + completion_ids: list[int] + completion_mask: list[int] # What to compute loss on in completion (masking applied here) + completion_logprobs: list[float] + reward: float + advantage: float + is_truncated: bool + metrics: dict[str, float] +``` + +### Verifiers Implementation Details (Now We Have The Source!) + +#### **The Multi-Turn Rollout Loop** (multiturn_env.py:55-149) + +```python +async def rollout(self, client: AsyncOpenAI, model: str, prompt: Messages, ...) -> tuple[Messages, State]: + """Generate a multi-turn rollout with the environment.""" + is_completed = False + state = await self.init_state(prompt, completion, answer, task, info, example_id) + + while not is_completed: + # Build context from prompt + completion so far + context_messages = await self.get_context_messages(state) + + if await self.is_completed(context_messages, state, **kwargs): + break + + # Call the LLM with tools + response = await self.get_model_response( + client, model, context_messages, + oai_tools=info.get("oai_tools", None), # <-- Tools passed here + sampling_args=sampling_args, + ) + state["responses"].append(response) + + # Extract assistant message + tool calls + response_message = {"role": "assistant", "content": response_text} + if response.choices[0].message.tool_calls: + response_message["tool_calls"] = [tc.model_dump() for tc in tool_calls] + state["completion"].append(response_message) + + state["turn"] += 1 + + # Check if done + if await self.is_completed(context_messages, state, **kwargs): + is_completed = True + else: + # Execute tools and get results + env_msgs, state = await self.env_response(context_messages, state, **kwargs) + state["completion"] += env_msgs # Add tool results to history + + return state["completion"], state +``` + +#### **Tool Execution** (tool_env.py:43-89) + +```python +class ToolEnv(MultiTurnEnv): + def __init__(self, tools: list[Callable], max_turns: int = 10, **kwargs): + # Convert Python functions to OpenAI tool schemas + self.oai_tools = [convert_func_to_oai_tool(tool) for tool in self.tools] + self.tool_map = {tool.__name__: tool for tool in self.tools} + super().__init__(oai_tools=self.oai_tools, max_turns=max_turns, **kwargs) + + async def is_completed(self, messages: Messages, state: State, **kwargs) -> bool: + """Episode ends when assistant responds without tool calls.""" + is_assistant_message = messages[-1]["role"] == "assistant" + no_tool_calls = "tool_calls" not in messages[-1] or messages[-1]["tool_calls"] is None + return await super().is_completed(...) or (is_assistant_message and no_tool_calls) + + async def env_response(self, messages: Messages, state: State, **kwargs) -> tuple[Messages, State]: + """Execute all tool calls from the last assistant message.""" + tool_messages = [] + for tool_call in messages[-1]["tool_calls"]: + tool_name = tool_call["function"]["name"] + tool_args = json.loads(tool_call["function"]["arguments"]) + tool_call_id = tool_call["id"] + + # Execute the tool + result = await self.tool_map[tool_name](**tool_args) + tool_messages.append({ + "role": "tool", + "content": str(result), + "tool_call_id": tool_call_id, + }) + return tool_messages, state +``` + +#### **Calling OpenAI API with Tools** (environment.py:285-296) + +```python +async def get_model_response(self, client: AsyncOpenAI, model: str, prompt: Messages, + oai_tools: list[ChatCompletionToolParam] | None = None, ...) -> ModelResponse: + if oai_tools: + response = await client.chat.completions.create( + model=model, + messages=prompt, + tools=oai_tools, # <-- Tool schemas passed to OpenAI API + **sampling_args, + ) + else: + response = await client.chat.completions.create( + model=model, messages=prompt, **sampling_args + ) + return response +``` + +#### **Example: Defining Tools** (wiki_search.py:99-128) + +```python +# Just write normal Python functions with type hints and docstrings! +async def search_pages(query: str) -> list[dict]: + """Search for top 10 relevant articles using title embedding similarity. + + args: + query (str): The query to search for. + """ + results = await collection.query(query_texts=[query], n_results=10) + return [{"page_id": results["ids"][0][i], "title": results["metadatas"][0][i]["title"]} + for i in range(len(results["ids"][0]))] + +# Create environment +env = vf.ToolEnv( + dataset=dataset, + rubric=rubric, + tools=[search_pages, view_sections, read_section], # <-- Just pass functions! + max_turns=10, +) +``` + +**How tool conversion works:** +- Parses type hints: `query: str` → `{"type": "string"}` +- Uses docstring for description +- Generates OpenAI tool schema automatically + +#### **Complete Flow** + +``` +1. ToolEnv.__init__(tools=[search_pages, ...]) + └─ convert to OpenAI schemas → store in self.oai_tools + +2. rollout() loop starts: + ├─ Turn 1: User asks "Find info on AI" + │ ├─ get_model_response(messages=[user msg], tools=oai_tools) + │ │ └─ client.chat.completions.create(messages=[...], tools=[...]) # vLLM formats tools in prompt + │ ├─ Response: assistant calls search_pages(query="AI") + │ ├─ is_completed()? No (has tool_calls) + │ ├─ env_response(): + │ │ ├─ Parse tool_call: {function: {name: "search_pages", arguments: "{\"query\":\"AI\"}"}} + │ │ ├─ Execute: result = await search_pages(query="AI") + │ │ └─ Return: [{"role": "tool", "content": "[page1, page2,...]", "tool_call_id": "123"}] + │ └─ Append tool result to completion + │ + ├─ Turn 2: Context now includes user + assistant tool call + tool result + │ ├─ get_model_response(messages=[user, assistant, tool, ...], tools=oai_tools) + │ ├─ Response: assistant provides answer (no tool_calls) + │ ├─ is_completed()? YES (no tool_calls) + │ └─ Exit loop + │ + └─ Return (completion, state) +``` + +**📊 Updated Comparison:** + +| Component | BlackJack | Tinker | VERL | Verifiers/PRIME-RL | +|-----------|-----------|--------|------|----------| +| Rollout loop | ✅ Visible | ✅ Visible | ✅ Visible | ✅ **NOW VISIBLE** | +| Tool calling | N/A | ✅ Visible | ✅ Visible | ✅ **NOW VISIBLE** | +| Tool execution | N/A | ✅ Visible | ✅ Visible | ✅ **NOW VISIBLE** | +| Prompt formatting | ✅ Visible | ✅ Visible | ✅ Visible | ❌ In vLLM server | +| Response masking | N/A | N/A | ✅ Visible | ✅ Visible | + +**What's STILL in vLLM (black box):** +- How tools are formatted in the prompt (model-specific) +- How tool calls are parsed from model output (hermes/mistral/llama format) +- The actual "hermes" parser implementation + +### Key Insights + +✅ **Clean multi-turn loop**: Simple while loop with `is_completed()` check + +✅ **Tool execution is straightforward**: Parse tool_calls → execute function → return result + +✅ **OpenAI API compatibility**: Just pass `tools` parameter to `client.chat.completions.create()` + +✅ **vLLM handles formatting**: Server formats tools in prompt based on model + +✅ **Episode termination**: Ends when assistant doesn't request tools + +✅ **Response masking**: Verifiers has `process_env_results_vllm()` to mask tool results + +✅ **Simple tool definition**: Just write Python functions with type hints! + +### Response Masking for Multi-Turn + +**File:** `verifiers/utils/processing_utils.py:72-151` + +**How Verifiers builds mask by processing chat turns:** + +```python +def process_chat_format_vllm( + prompt: list[ChatMessage], + completion: list[ChatMessage], + state: State, + processing_class: TokenizerBase, + mask_env_responses: bool = False, # KEY FLAG +): + completion_ids = [] + completion_mask = [] + + for message in completion: + if message["role"] == "assistant": + # LLM output - get tokens from vLLM response + tokens = parse_chat_completion_tokens(response) + logprobs = parse_chat_completion_logprobs(response) + + completion_ids.extend(tokens) + completion_mask.extend([1] * len(tokens)) # TRAIN on assistant + + elif message["role"] in ["user", "tool"]: + # Environment/tool response + tokens = tokenizer.apply_chat_template( + conversation=messages_consumed + [message], + add_generation_prompt=True, + tools=oai_tools + ) + + completion_ids.extend(tokens) + + if mask_env_responses: + completion_mask.extend([0] * len(tokens)) # MASK for RL + else: + completion_mask.extend([1] * len(tokens)) # TRAIN for SFT + + return prompt_ids, prompt_mask, completion_ids, completion_mask, completion_logprobs +``` + +**Key points:** +- **RL training:** `mask_env_responses=True` → tool results get `mask=0` +- **SFT training:** `mask_env_responses=False` → train on everything +- Mask is built incrementally as conversation progresses +- Returned to PRIME-RL scheduler for training + +**Used by PRIME-RL:** +```python +# From prime_rl scheduler.py:71-86 +processed_outputs = env.process_env_results_vllm( + prompts=generate_outputs.prompt, + completions=generate_outputs.completion, + states=generate_outputs.state, + rewards=generate_outputs.reward, + processing_class=tokenizer, + mask_env_responses=self.config.mask_env_responses, # TRUE for RL +) +``` + +--- + +### For Forge: What's Actionable Now + +**1. You CAN implement the multi-turn loop yourself (it's simple!):** +```python +# Based on verifiers multiturn_env.py +async def play_task(env, generator, task_prompt): + messages = [{"role": "user", "content": task_prompt}] + done = False + turn = 0 + + while not done and turn < MAX_TURNS: + # Call LLM with tools + response = await generator.sample( + messages=messages, + tools=env.get_tools(), # OpenAI tool schemas + ) + + # Add assistant message + assistant_msg = {"role": "assistant", "content": response.text} + if response.tool_calls: + assistant_msg["tool_calls"] = response.tool_calls + messages.append(assistant_msg) + + # Check if done + if not response.tool_calls: + done = True + else: + # Execute tools + for tool_call in response.tool_calls: + result = await env.execute_tool( + tool_call["function"]["name"], + json.loads(tool_call["function"]["arguments"]) + ) + messages.append({ + "role": "tool", + "content": str(result), + "tool_call_id": tool_call["id"], + }) + + turn += 1 + + return messages +``` + +**2. You CAN use vLLM's native tool calling:** +```python +# In your Generator vLLM config: +vllm_config = { + "enable_auto_tool_choice": True, + "tool_call_parser": "hermes", # or "mistral", "llama" +} +``` + +**3. You SHOULD implement response masking:** +```python +# Like VERL and verifiers: +# Track which tokens are LLM output vs tool results +response_mask = [1] * len(llm_tokens) + [0] * len(tool_result_tokens) +``` + +**4. You CAN define tools like verifiers:** +```python +def search_wiki(query: str) -> list[str]: + """Search Wikipedia for relevant articles. + + Args: + query: The search query string. + + Returns: + List of article titles matching the query. + """ + return wikipedia.search(query) + +# Convert to OpenAI schema +tool_schema = convert_func_to_oai_tool(search_wiki) +# Use verifiers' utility or implement yourself (parse type hints + docstring) +``` + +**5. Consider integrating verifiers:** +- **Pros**: Clean API, tool support, community environments, masking built-in +- **Cons**: Another dependency, less control over rollout loop +- **Middle ground**: Use verifiers' tool utilities (`convert_func_to_oai_tool`) but implement your own rollout loop + +### Comparison: All Five Examples + +| Aspect | BlackJack | Tinker | VERL | PRIME-RL | **Verifiers** | +|--------|-----------|--------|------|----------|-----------| +| **Rollout Loop** | Manual | Env step | State machine | Delegates | **Simple while loop** | +| **Tool Calling** | No tools | Tag-based | Native + manual | vLLM native | **OpenAI native** | +| **Tool Definition** | N/A | Functions | Functions | Functions | **Type-hinted funcs** | +| **Tool Execution** | N/A | Manual async | Manual async | In env | **tool_map lookup** | +| **Prompt Formatting** | Manual | Renderer | Manual | vLLM | **vLLM** | +| **Response Masking** | No | No | Explicit | Flag | **process_env_results** | +| **Abstraction Level** | Low | Medium | Medium | High | **Medium-High** | + +**Verifiers' Sweet Spot:** +- Higher level than BlackJack/VERL (clean API, tool utilities) +- Lower level than fully delegated PRIME-RL (rollout loop is visible) +- Practical tool definition (just type-hinted functions) +- Production-ready (used by PRIME-RL, Tinker, others) + +--- + +## Performance & Async Patterns: Complete Library Comparison + +### Overview: Async Execution Across All Libraries + +| Library | Async Support | vLLM Flags | Concurrency Pattern | Key Efficiency Features | +|---------|--------------|------------|---------------------|------------------------| +| **BlackJack (Forge)** | ✅ Partial | None | `asyncio` coroutines | Async env.step(), but sequential episodes | +| **Tinker-Cookbook** | ✅ Partial | None | `asyncio` coroutines | Async tool execution, sequential rollouts | +| **VERL** | ✅ Full | SGLang (not vLLM) | `asyncio.gather()` for parallel tools | Parallel tool execution, state machine | +| **NeMo-RL** | ✅ **Full Pipeline** | **`async_engine: true`** | **Per-sample async tasks** | **Sample-level pipelining, non-blocking tools** | +| **PRIME-RL/Verifiers** | ✅ Full | **`enable_auto_tool_choice: true`**
**`tool_call_parser: "hermes"`** | `asyncio.gather()` | Native vLLM tool parsing, async tools | +| **TRL** | ❌ None | External server | Blocking HTTP | Simple but slower, no pipelining | + +--- + +### Library-by-Library Async Details + +#### **1. BlackJack (Forge OpenEnv) - Basic Async** + +**Async Pattern:** +```python +# File: OpenEnv/examples/grpo_blackjack/grpo_utils.py:197-244 +async def play_game(game_idx, game_id, server_url, policy, tokenizer, game_log): + # Async generation + responses = await policy.generate.route(prompt) # ✅ Non-blocking + + # Async environment step + result = env.step(OpenSpielAction(action_id=action_id)) # ✅ Non-blocking +``` + +**Concurrency Level:** Sequential episodes +- Episodes run one-at-a-time within a batch +- Each episode's steps are async, but episodes don't overlap + +**vLLM Configuration:** None (uses Forge Generator defaults) + +**Performance:** +- ✅ Non-blocking I/O for env +- ❌ No sample-level pipelining +- ❌ No parallel tool execution + +**Best for:** Simple prototyping, full control over loop + +--- + +#### **2. Tinker-Cookbook - Async Tools, Sequential Rollouts** + +**Async Pattern:** +```python +# File: tinker_cookbook/rl/rollouts.py:16-34 +async def do_single_rollout(policy: TokenCompleter, env: Env) -> Trajectory: + while True: + # Async generation + ac_with_logprobs = await policy(ob, stop_condition) # ✅ Non-blocking + + # Async environment step (includes tool execution) + step_result = await env.step(ac_with_logprobs.tokens) # ✅ Non-blocking + + if step_result.episode_done: + break +``` + +**Tool Execution:** +```python +# File: tinker_cookbook/recipes/tool_use/search/search_env.py:789-791 +async def call_search_tool(self, tool_call): + async with _CONNECTION_SEMAPHORE: # Rate limiting + return await self.chroma_tool_client.invoke(tool_call) # ✅ Async tool +``` + +**Concurrency Level:** Sequential rollouts +- Rollouts collected one-by-one +- Tools execute async but don't pipeline with generation + +**vLLM Configuration:** None (uses Tinker's TrainingClient) + +**Performance:** +- ✅ Async tool execution with rate limiting +- ✅ Non-blocking I/O +- ❌ No parallel rollouts +- ❌ No generation pipelining + +**Best for:** Research, clean abstractions, moderate scale + +--- + +#### **3. VERL - Full Async with Parallel Tools** + +**Async Pattern:** +```python +# File: verl/experimental/agent_loop/tool_agent_loop.py:1368-1370 +async def _handle_processing_tools_state(self, agent_data: AgentData): + # Create parallel tool tasks + tasks = [self._call_tool(tc, agent_data.tools_kwargs) for tc in agent_data.tool_calls] + + # Execute ALL tools in parallel + responses = await asyncio.gather(*tasks) # ✅ Parallel execution! +``` + +**Generation:** +```python +# File: verl/experimental/agent_loop/tool_agent_loop.py:1311-1317 +async def _handle_generating_state(self, agent_data, sampling_params): + # Async generation via SGLang + output = await self.server_manager.generate( + request_id=agent_data.request_id, + prompt_ids=agent_data.prompt_ids, + sampling_params=sampling_params, + ) # ✅ Non-blocking +``` + +**Concurrency Level:** Parallel tools, sequential episodes +- Multiple tools execute concurrently +- Episodes still run sequentially + +**vLLM Configuration:** Uses SGLang, not vLLM +- SGLang has its own async engine +- No vLLM-specific flags + +**Performance:** +- ✅ Parallel tool execution within episode +- ✅ State machine for clean control flow +- ✅ Non-blocking generation +- ❌ No sample-level pipelining +- ❌ Episodes don't overlap + +**Best for:** Complex tool workflows, production systems + +--- + +#### **4. NeMo-RL - Full Pipelining (BEST PERFORMANCE)** + +**vLLM Async Configuration:** +```yaml +# File: RL/examples/grpo_math_1B.yaml:218 +policy: + generation: + backend: "vllm" + vllm_cfg: + async_engine: true # ✅ CRITICAL FLAG - enables AsyncLLM + tensor_parallel_size: 1 + pipeline_parallel_size: 1 +``` + +**Per-Sample Async Pattern:** +```python +# File: RL/nemo_rl/experience/rollouts.py:780-936 +async def run_async_multi_turn_rollout(...): + # Create one async task PER SAMPLE + sample_tasks = [ + run_single_sample_with_error_handling(i, sample_state) + for i, sample_state in enumerate(sample_initial_states) + ] + + # ALL samples run concurrently! + sample_results = await asyncio.gather(*sample_tasks) # ✅ Full pipelining +``` + +**Per-Sample Loop:** +```python +# File: RL/nemo_rl/experience/rollouts.py:611-777 +async def run_sample_multi_turn_rollout(sample_idx, ...): + for turn in range(max_rollout_turns): + # Async generation (doesn't block other samples) + response = await async_generate_response_for_sample_turn(...) # ✅ + + # Execute tool (while this blocks, other samples continue!) + env_output = calculate_rewards(sample_batch, task_to_env) # Other samples proceed +``` + +**vLLM AsyncLLM Engine:** +```python +# File: RL/nemo_rl/models/generation/vllm/vllm_worker_async.py:128-146 +def _create_engine(self, llm_kwargs): + from vllm.v1.engine.async_llm import AsyncLLM + self.llm = AsyncLLM.from_engine_args(self.llm_async_engine_args) # ✅ Async engine + +# File: RL/nemo_rl/models/generation/vllm/vllm_worker_async.py:1830-1840 +async def generate_async(self, data, greedy=False): + # Submit to vLLM async engine + vllm_generator = self.llm.generate( + prompt=prompt, + sampling_params=sampling_params, + request_id=request_id, + ) # ✅ Returns immediately, vLLM queues request + + # Stream results + async for req_output in vllm_generator: + final_output = req_output +``` + +**Concurrency Level:** **Per-sample pipelining** (HIGHEST) +- Each sample is independent async task +- While Sample 1 waits for tool, Samples 2/3/4 generate +- vLLM queues all requests internally + +**Performance:** +- ✅ **Sample-level pipelining** (unique feature!) +- ✅ Non-blocking generation queue +- ✅ Fast samples don't wait for slow ones +- ✅ Maximum GPU utilization + +**Speedup Example:** +``` +Without pipelining (4 samples, 2 turns each, 10s per turn): +Sample 1: Turn 1 (10s) → Tool (5s) → Turn 2 (10s) = 25s +Sample 2: Turn 1 (10s) → Tool (5s) → Turn 2 (10s) = 25s +Sample 3: Turn 1 (10s) → Done = 10s +Sample 4: Turn 1 (10s) → Done = 10s +Total: 70s (sequential) + +With NeMo-RL pipelining: +All samples overlap, max time ≈ 25s (longest sample) +Speedup: ~2.8x +``` + +**Best for:** Production RL at scale, maximum throughput + +--- + +#### **5. PRIME-RL/Verifiers - Native vLLM Tool Calling** + +**vLLM Tool Calling Configuration:** +```toml +# File: prime-rl/examples/wiki_search/rl.toml +[inference.model] +enable_auto_tool_choice = true # ✅ vLLM native tool calling +tool_call_parser = "hermes" # ✅ Use Hermes format parser +``` + +**What these flags do:** +- `enable_auto_tool_choice`: vLLM parses tool calls from model output automatically +- `tool_call_parser`: Specifies format (hermes/mistral/llama/internlm) +- vLLM handles prompt formatting with tools + +**Async Pattern:** +```python +# File: verifiers/environment.py:55-149 +async def rollout(self, client, model, prompt, ...): + while not is_completed: + # Async generation via OpenAI-compatible client + response = await self.get_model_response( + client, model, context_messages, + oai_tools=info.get("oai_tools", None), # ✅ Tools passed to vLLM + ) # ✅ Non-blocking + + # Async tool execution + env_msgs, state = await self.env_response(context_messages, state) # ✅ Async +``` + +**Tool Execution:** +```python +# File: verifiers/tool_env.py:43-89 +async def env_response(self, messages, state, **kwargs): + tool_messages = [] + for tool_call in messages[-1]["tool_calls"]: + # Execute tool (async) + result = await self.tool_map[tool_name](**tool_args) # ✅ Async + tool_messages.append({...}) + return tool_messages, state +``` + +**Concurrency Level:** Sequential rollouts, async tools +- Rollouts run one-at-a-time +- Tools can be async within episode + +**Performance:** +- ✅ vLLM native tool parsing (no manual regex) +- ✅ Async tool execution +- ✅ Clean OpenAI-compatible API +- ❌ No sample pipelining +- ❌ PRIME-RL delegates to verifiers (black box) + +**Best for:** Standard tool calling tasks, clean abstractions + +--- + +#### **6. TRL - Synchronous (Simple but Slow)** + +**Pattern:** +```python +# File: trl/examples/scripts/openenv/catch.py:162-215 +def rollout_func(prompts, args, processing_class, client, gen_url): + for prompt in prompts: + for _ in range(args.num_generations): + while not obs.done: + # Blocking HTTP request to vLLM server + response = requests.post(gen_url, json=payload) # ❌ BLOCKING + response.raise_for_status() + result = response.json() + + # Blocking environment step + env_result = client.step(action) # ❌ BLOCKING +``` + +**Concurrency Level:** None (fully synchronous) + +**vLLM Configuration:** External HTTP server +- TRL doesn't configure vLLM directly +- Uses separate vLLM server process +- No async flags + +**Performance:** +- ❌ Blocking HTTP calls +- ❌ No pipelining +- ❌ Sequential processing +- ✅ Simple to understand and debug + +**Best for:** Prototyping, education, debugging + +--- + +### Key Performance Insights + +**1. vLLM Async Engine is Critical for Pipelining** +- Only NeMo-RL uses `async_engine: true` +- This enables `AsyncLLM` class in vLLM +- Without it, generation blocks even with async/await + +**2. Sample-Level Pipelining is Unique to NeMo-RL** +- Most libraries: episodes run sequentially +- NeMo-RL: each sample is independent task +- Massive speedup when samples have variable length + +**3. Tool Execution Async ≠ Generation Async** +- Tinker, VERL: async tools but sequential rollouts +- NeMo-RL: both tools AND generation are pipelined +- Big difference in throughput + +**4. vLLM Native Tool Calling Reduces Overhead** +- PRIME-RL: `enable_auto_tool_choice` → vLLM parses tools +- Others: manual regex/tag parsing +- Native parsing is faster and more reliable + +**5. Async/Await Alone Doesn't Pipeline** +- BlackJack/Tinker: async/await but sequential episodes +- Need `asyncio.gather()` with independent tasks +- NeMo-RL does this at sample level + +--- + +### Recommendations for Forge + +**For Maximum Performance:** +1. Enable vLLM async: `async_engine: true` (NeMo-RL pattern) +2. Per-sample async tasks: `asyncio.gather([play_task(s) for s in samples])` +3. Native tool calling: `enable_auto_tool_choice: true` (if using vLLM server) + +**For Simplicity:** +1. Start with TRL pattern (synchronous) +2. Add async/await for tools (Tinker pattern) +3. Optimize later if bottlenecked + +**For Production:** +1. Use NeMo-RL async patterns +2. Add PRIME-RL's vLLM tool calling flags +3. Implement VERL's parallel tool execution + +--- + +## Example 6: TRL GRPO with OpenEnv (Low-Level Implementation) + +**Location:** `/home/felipemello/forge/trl/examples/scripts/openenv/` + +TRL implements multi-turn rollouts for GRPO using the **`rollout_func` pattern**. This is an experimental hook that allows custom generation logic to replace TRL's default single-turn generation. + +### Key Insight: TRL GRPO is Single-Turn by Default + +**CRITICAL:** TRL's `GRPOTrainer` does NOT have built-in multi-turn support. The core trainer (`trl/trainer/grpo_trainer.py`) implements only: +1. Single prompt → single completion +2. Score with reward function +3. Train + +For multi-turn, you MUST use the `rollout_func` parameter. + +### Architecture + +``` +TRL GRPO Trainer + ↓ +Custom rollout_func (USER PROVIDED) + ↓ +vLLM Server (HTTP) → Multi-turn Loop → OpenEnv Client (HTTP) + ↓ +Returns: prompt_ids, completion_ids, logprobs (concatenated across ALL turns) + ↓ +GRPO treats entire episode as ONE sequence for training +``` + +### The `rollout_func` Signature + +```python +# From trl/trainer/grpo_trainer.py:113 +RolloutFunc = Callable[[list[str], Any, Any], dict[str, Any]] + +# Signature: +def rollout_func( + prompts: list[str], # Batch of prompts from dataset + args: GRPOConfig, # Training config (temperature, max_tokens, etc.) + processing_class: Tokenizer, # Tokenizer for encoding/decoding +) -> dict[str, Any]: + # Must return: + return { + "prompt_ids": list[list[int]], # Token IDs of prompts (per-episode) + "completion_ids": list[list[int]], # Token IDs of completions (per-episode) + "logprobs": list[list[float]], # Log probs (per-token, per-episode) + # Optional: any extra fields for reward functions + "custom_reward": list[float], + ... + } +``` + +### Example 1: Catch Game (Multi-Turn Episode Loop) + +**File:** `trl/examples/scripts/openenv/catch.py:162-215` + +This example shows the CORE pattern for multi-turn with TRL: + +```python +def rollout_func( + prompts: list[str], + args: GRPOConfig, + processing_class, + client: OpenSpielEnv, # Injected via lambda + gen_url: str, # Injected via lambda +) -> dict[str, list]: + """Generate completions via vLLM and compute environment rewards.""" + env_rewards = [] + all_prompt_ids, all_completion_ids, all_logprobs = [], [], [] + + # OUTER LOOP: Process each prompt from the dataset + for base_prompt in prompts: + # MIDDLE LOOP: Generate G rollouts per prompt (for GRPO group) + for _ in range(args.num_generations): + env_result = client.reset() + obs = env_result.observation + total_reward = 0.0 + + # Storage for THIS episode's tokens (across ALL turns) + episode_prompt_ids, episode_completion_ids, episode_logprobs = [], [], [] + + # INNER LOOP: Multi-turn episode loop + while not obs.done: + # 1. Build prompt from current observation + episode_msg = { + "prompt": [{ + "role": "user", + "content": f"{base_prompt}\n\n{obs.info_state}\n" + }] + } + episode_prompt = apply_chat_template(episode_msg, processing_class) + + # 2. Generate via vLLM server (HTTP request) + payload = { + "prompts": [episode_prompt["prompt"]], + "n": 1, + "temperature": args.temperature, + "top_p": args.top_p, + "max_tokens": args.max_completion_length, + } + response = requests.post(gen_url, json=payload) + response.raise_for_status() + result = response.json() + + # 3. CRITICAL: Accumulate token IDs across turns + # This makes the entire episode ONE sequence for training + episode_prompt_ids.extend(result["prompt_ids"][0]) + episode_completion_ids.extend(result["completion_ids"][0]) + episode_logprobs.extend(result["logprobs"][0]) + + # 4. Parse action from completion text + completion_text = processing_class.batch_decode( + result["completion_ids"], + skip_special_tokens=True + )[0] + numbers = re.findall(r"\b([0-2])\b", completion_text) + action_id = int(numbers[0]) if numbers else obs.legal_actions[0] + + # 5. Step environment + env_result = client.step(OpenSpielAction(action_id=action_id, game_name="catch")) + total_reward += env_result.reward or 0.0 + obs = env_result.observation + + # Store the ENTIRE episode as ONE rollout + env_rewards.append(total_reward) + all_prompt_ids.append(episode_prompt_ids) + all_completion_ids.append(episode_completion_ids) + all_logprobs.append(episode_logprobs) + + return { + "prompt_ids": all_prompt_ids, + "completion_ids": all_completion_ids, + "logprobs": all_logprobs, + "env_reward": env_rewards, # Extra field for reward function + } +``` + +### Key Implementation Tricks + +#### 1. **Token Concatenation** (THE CRITICAL TRICK) + +```python +# EACH TURN adds to the same lists +episode_prompt_ids.extend(result["prompt_ids"][0]) +episode_completion_ids.extend(result["completion_ids"][0]) +episode_logprobs.extend(result["logprobs"][0]) +``` + +**Why this works:** +- Multi-turn episode becomes ONE long sequence: `[turn1_prompt, turn1_completion, turn2_prompt, turn2_completion, ...]` +- GRPO trains on the ENTIRE sequence as if it were one completion +- Gradient flows through all turns +- Model learns the full multi-turn policy + +**Example:** +```python +# Turn 1: "What's 2+2?" → "4" +# Turn 2: "What's 4+2?" → "6" +# Turn 3: "What's 6+2?" → "8" + +# Becomes ONE sequence: +prompt_ids = [tok("What's 2+2?"), tok("4"), tok("What's 4+2?"), tok("6"), tok("What's 6+2?"), tok("8")] +# GRPO treats this as ONE generation and trains on ALL of it +``` + +#### 2. **vLLM Server Communication** (Synchronous HTTP) + +```python +payload = { + "prompts": [episode_prompt["prompt"]], + "n": 1, # Only 1 completion per request + "temperature": args.temperature, + "top_p": args.top_p, + "max_tokens": args.max_completion_length, +} +response = requests.post(gen_url, json=payload) # BLOCKING +result = response.json() +``` + +**Key details:** +- Uses external vLLM server (not the training model) +- HTTP POST request per turn +- **BLOCKING** call (no async) +- vLLM returns: `{"prompt_ids": [[...]], "completion_ids": [[...]], "logprobs": [[...]]}` +- Response format matches TRL's expected output + +**Why external server:** +- Keeps generation separate from training +- Avoids memory conflicts +- Can use different devices + +#### 3. **Nested Loop Structure** + +```python +for base_prompt in prompts: # Dataset prompts + for _ in range(num_generations): # G rollouts (GRPO group) + while not obs.done: # Multi-turn episode + # Generate → Parse → Step +``` + +**Loop purposes:** +1. **Outer:** Batch of prompts from dataset (GRPO's dataloader) +2. **Middle:** Generate G completions per prompt (for group normalization) +3. **Inner:** Multi-turn loop until episode ends + +**Output shape:** +- `len(prompts) * num_generations` total episodes +- Each episode: variable length (depends on turns to completion) + +#### 4. **Chat Template Per Turn** + +```python +episode_msg = {"prompt": [{"role": "user", "content": f"{base_prompt}\n\n{obs.info_state}\n"}]} +episode_prompt = apply_chat_template(episode_msg, processing_class) +``` + +**Important:** +- Each turn builds a FRESH prompt +- Does NOT maintain conversation history in the prompt +- Environment state (`obs.info_state`) provides context +- Chat template wraps it properly + +**For tool calling, you'd do:** +```python +messages = [ + {"role": "system", "content": "You have access to tools..."}, + {"role": "user", "content": task}, + # Previous turns would go here +] +``` + +### Example 2: Wordle (More Sophisticated Multi-Turn) + +**File:** `trl/examples/scripts/openenv/wordle.py:331-425` + +Wordle demonstrates MORE advanced patterns: + +#### **1. Conversation History Management** (wordle.py:254-273) + +```python +def format_history(messages: Iterable[TextArenaMessage]) -> str: + lines = [] + for message in messages: + tag = message.category or "MESSAGE" + content = message.content.strip() + if not content: + continue + lines.append(f"[{tag}] {content}") + return "\n".join(lines) + +def make_user_prompt(prompt_text: str, messages: Iterable[TextArenaMessage]) -> str: + history = format_history(messages) + prompt_section = prompt_text.strip() + history_section = history if history else "[PROMPT] Awaiting first feedback." + return ( + f"Game prompt:\n{prompt_section}\n\n" + f"Conversation so far:\n{history_section}\n\n" + "Reply with your next guess enclosed in square brackets." + ) +``` + +**Key insight:** Environment maintains the message history, code formats it for each turn's prompt. + +#### **2. Multiple Reward Signals** (wordle.py:394-425) + +```python +for _turn in range(cli_args.max_turns): + if result.done: + break + + # Build prompt with history + messages = [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": user_prompt}, + ] + prompt_text = tokenizer.apply_chat_template(messages, ...) + + # Generate + vllm_result = request_vllm_completion(...) + + # Extract guess + guess = extract_guess(completion_text) + + # Step environment + result = env.step(TextArenaAction(message=guess)) + + # MULTIPLE reward signals + feedback = extract_wordle_feedback(observation) + green_count, yellow_count = extract_feedback_counts(feedback) + + green_score = green_count / 5.0 + yellow_score = yellow_count / 5.0 + repetition_score = scale_repetition_score(...) + correct_score = float(result.reward or 0.0) + + # Store for return + green_scores.append(green_score) + yellow_scores.append(yellow_score) + repetition_scores.append(repetition_score) + correct_scores.append(correct_score) + +# Return FINAL rewards from each signal +return { + "prompt_ids": prompt_ids, + "completion_ids": completion_ids, + "logprobs": logprobs, + "correct_reward": correct_scores[-1], # Final turn + "green_reward": green_scores[-1], # Final turn + "yellow_reward": yellow_scores[-1], # Final turn + "repetition_reward": repetition_scores[-1],# Final turn +} +``` + +#### **3. Multiple Reward Functions** (wordle.py:484-509) + +```python +def reward_correct(completions, **kwargs): + return kwargs.get("correct_reward", [0.0] * len(completions)) + +def reward_greens(completions, **kwargs): + return kwargs.get("green_reward", [0.0] * len(completions)) + +def reward_yellows(completions, **kwargs): + return kwargs.get("yellow_reward", [0.0] * len(completions)) + +def reward_repetition(completions, **kwargs): + return kwargs.get("repetition_reward", [0.0] * len(completions)) + +# In trainer: +trainer = GRPOTrainer( + reward_funcs=[ + reward_correct, + reward_greens, + reward_yellows, + reward_repetition, + ], + args=grpo_config, + rollout_func=wrapped_rollout, +) +``` + +**How it works:** +1. `rollout_func` computes multiple reward signals, stores in dict +2. Each reward function extracts its signal from kwargs +3. GRPO sums all rewards: `total_reward = w1*r1 + w2*r2 + w3*r3 + w4*r4` +4. Can weight each signal with `reward_weights=[1.0, 0.5, 0.5, 0.2]` + +#### **4. Max Turns Limit** (wordle.py:352) + +```python +for _turn in range(cli_args.max_turns): # Limit to 5 guesses + if result.done: + break + # ... generate and step +``` + +**Important:** +- Prevents infinite loops +- Truncates long episodes +- Similar to `max_steps` in RL + +### How to Use in Forge + +**Step 1: Define rollout function** + +```python +def custom_rollout(prompts, args, processing_class, env_client, gen_url): + all_prompt_ids, all_completion_ids, all_logprobs = [], [], [] + rewards = [] + + for prompt in prompts: + for _ in range(args.num_generations): + # Multi-turn loop here + episode_prompt_ids, episode_completion_ids, episode_logprobs = [], [], [] + env_result = env_client.reset() + + while not env_result.done: + # Generate → Parse → Step → Accumulate + ... + + all_prompt_ids.append(episode_prompt_ids) + all_completion_ids.append(episode_completion_ids) + all_logprobs.append(episode_logprobs) + rewards.append(total_reward) + + return { + "prompt_ids": all_prompt_ids, + "completion_ids": all_completion_ids, + "logprobs": all_logprobs, + "env_reward": rewards, + } +``` + +**Step 2: Pass to trainer** + +```python +trainer = GRPOTrainer( + model="Qwen/Qwen2.5-0.5B-Instruct", + reward_funcs=lambda completions, **kwargs: kwargs.get("env_reward", []), + rollout_func=lambda p, a, pc: custom_rollout(p, a, pc, env, gen_url), + args=grpo_config, + train_dataset=dataset, +) +``` + +### TRL Does NOT Have Native Tool Calling for GRPO + +**Important realization:** + +1. **No built-in tool calling:** TRL's GRPO does NOT have native support for tool execution +2. **Environment IS the tool:** The OpenEnv client acts as the "tool executor" + - `env.step(action)` = "execute tool" + - `env.observation` = "tool result" +3. **Text parsing:** Actions are parsed from model output text (regex, etc.) +4. **No async:** Everything is synchronous (blocking HTTP calls) + +**For actual tool calling (like function calling), you'd need to:** + +```python +while not done: + # Generate + response = vllm_generate(prompt) + + # Parse tool calls from text + if "" in response.text: + tool_call = parse_tool_call(response.text) + + # Execute tool (YOUR CODE) + tool_result = execute_tool(tool_call["name"], tool_call["args"]) + + # Add to history + messages.append({"role": "assistant", "tool_calls": [tool_call]}) + messages.append({"role": "tool", "content": str(tool_result)}) + + # Continue + prompt = build_prompt(messages) + else: + # No tool call, end episode + done = True +``` + +### Comparison: TRL vs Forge BlackJack vs VERL + +| Aspect | Forge BlackJack | TRL + OpenEnv | VERL | Verifiers | +|--------|-----------------|---------------|------|-----------| +| **Multi-turn loop** | Manual in play_game() | In rollout_func | State machine | While loop in env | +| **Generator** | Forge Generator (vLLM) | External vLLM server | SGLang/vLLM | AsyncOpenAI | +| **Token accumulation** | Per step (not concat) | **Concatenate across turns** | Per turn | Per turn | +| **Episode structure** | One Episode per step | **One episode = full game** | One episode = full convo | One episode = full convo | +| **Environment** | OpenEnv (sync) | OpenEnv (sync HTTP) | Custom | Verifiers MultiTurnEnv | +| **Async** | AsyncIO in rollouts | **No async (blocking HTTP)** | Full async/await | Full async/await | +| **Tool execution** | N/A | env.step() | Manual | tool_map lookup | +| **Reward assignment** | Final → all steps | Final reward | Step + final | Sparse at end | + +### Key Takeaways for Forge + +1. **Token concatenation is THE trick** + - Entire episode becomes one sequence + - GRPO trains on all turns together + - Simpler than per-step episodes + +2. **vLLM server separation** + - Keeps generation off training GPU + - Uses HTTP (blocking is fine) + - Returns prompt_ids, completion_ids, logprobs + +3. **rollout_func is the hook** + - Replaces TRL's default generation + - Full control over multi-turn logic + - Can inject environment, URL, etc. + +4. **No async needed (yet)** + - TRL examples use blocking HTTP + - Works fine for simple cases + - Async would enable pipelining (see NeMo-RL) + +5. **Multiple reward functions** + - Define separate functions for each signal + - GRPO sums them automatically + - Can weight with `reward_weights` + +6. **For tool calling:** + - Parse tool calls from text output + - Execute tools in rollout loop + - Concatenate all tokens + - Return final reward + +### Token Concatenation Pattern (Strategy B) + +**File:** `trl/examples/scripts/openenv/catch.py:162-215` + +**THE CRITICAL TRICK - How TRL concatenates multi-turn into one sequence:** + +```python +def rollout_func(prompts, args, processing_class, client, gen_url): + for base_prompt in prompts: + for _ in range(args.num_generations): + # Storage for THIS episode's tokens (across ALL turns) + episode_prompt_ids = [] + episode_completion_ids = [] + episode_logprobs = [] + + # Multi-turn loop + while not obs.done: + # 1. Generate this turn + response = requests.post(gen_url, json={ + "prompts": [current_prompt], + "max_tokens": args.max_completion_length, + }) + result = response.json() + + # 2. CONCATENATE tokens from this turn + episode_prompt_ids.extend(result["prompt_ids"][0]) + episode_completion_ids.extend(result["completion_ids"][0]) + episode_logprobs.extend(result["logprobs"][0]) + + # 3. Parse action and step environment + action = parse_action(result["completion_ids"]) + env_result = client.step(action) + + # Return ENTIRE episode as ONE sequence + all_prompt_ids.append(episode_prompt_ids) + all_completion_ids.append(episode_completion_ids) + all_logprobs.append(episode_logprobs) + + return { + "prompt_ids": all_prompt_ids, + "completion_ids": all_completion_ids, + "logprobs": all_logprobs, + } +``` + +**What GRPO sees:** +```python +# Multi-turn episode with 3 turns becomes: +episode_completion_ids = [ + # Turn 1 + [345, 346, 347], # "Action: 2" + # Turn 2 + [456, 457, 458], # "Action: 1" + # Turn 3 + [567, 568, 569], # "Action: 0" +] +# Flattened to: [345, 346, 347, 456, 457, 458, 567, 568, 569] + +# GRPO trains on this as ONE completion +# Gradient flows through all turns +``` + +**Note:** TRL doesn't use response_mask in these examples (trains on everything). For tool calling, you'd need to add masking. + +--- + +## Updated Comparison: All Six Examples + +| Aspect | BlackJack | Tinker | VERL | NeMo-RL | Verifiers | **TRL** | +|--------|-----------|--------|------|---------|-----------|---------| +| **Rollout Loop** | Manual | Env step | State machine | Per-sample async | While loop | **In rollout_func** | +| **Tool Calling** | No tools | Tag-based | Native | Native | OpenAI native | **Text parsing** | +| **Generator** | vLLM v1 | Model.generate | vLLM/SGLang | vLLM async | vLLM/AsyncOpenAI | **vLLM server (HTTP)** | +| **Token Handling** | Per step | Per turn | Concatenated | Concatenated | Per turn | **Concatenated** | +| **Episode = ** | Single step | Full convo | Full convo | Full convo | Full convo | **Full game** | +| **Async** | AsyncIO | No | Full | **Per-sample** | Full | **None (blocking)** | +| **Response Mask** | No | No | Explicit | Explicit | process_env_results | **No** | +| **Multi Rewards** | Single | Single | Tool lifecycle | Per-step | Single | **Multiple funcs** | +| **Abstraction** | Low | Medium | Medium | Medium | Medium-High | **Hook-based** | + +--- + +## Recommendation for Forge: Hybrid Approach + +Based on all six examples, here's the recommended approach for Forge + tool calling: + +### Phase 1: Simple Implementation (Like TRL) + +**Goal:** Get multi-turn tool calling working ASAP + +**Pattern:** Adapt TRL's `rollout_func` approach to Forge + +```python +async def play_task( + task_prompts: list[str], + args, + generator, # Forge Generator + tokenizer, + env_client, # OpenEnv or custom tool executor + max_turns: int = 10, +): + """Multi-turn rollout with tool calling.""" + all_episodes = [] + + for prompt in task_prompts: + for _ in range(args.num_generations): + # Reset environment + env_result = env_client.reset(task=prompt) + + # Storage for entire episode + episode_tokens = [] + episode_logprobs = [] + messages = [{"role": "user", "content": prompt}] + total_reward = 0.0 + + for turn in range(max_turns): + if env_result.done: + break + + # 1. Build prompt from message history + prompt_text = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=False + ) + + # 2. Generate via Forge Generator + response = await generator.generate(prompt_text) + + # 3. Concatenate tokens (THE KEY TRICK) + prompt_ids = tokenizer.encode(prompt_text, add_special_tokens=False) + completion_ids = response.token_ids + episode_tokens.extend(prompt_ids + completion_ids) + episode_logprobs.extend(response.logprobs) + + # 4. Parse tool calls from response + if is_tool_call(response.text): + tool_call = parse_tool_call(response.text) + + # Execute tool + tool_result = env_client.execute_tool( + tool_call["name"], + tool_call["args"] + ) + + # Add to message history + messages.append({ + "role": "assistant", + "tool_calls": [tool_call] + }) + messages.append({ + "role": "tool", + "content": str(tool_result) + }) + + # Update env + env_result = env_client.step(tool_call) + total_reward += env_result.reward or 0.0 + else: + # Final answer + messages.append({ + "role": "assistant", + "content": response.text + }) + env_result = env_client.finalize(response.text) + total_reward += env_result.reward or 0.0 + break + + all_episodes.append({ + "token_ids": episode_tokens, + "logprobs": episode_logprobs, + "reward": total_reward, + "num_turns": turn + 1, + }) + + return all_episodes +``` + +**Key points:** +- Concatenate all turns into ONE sequence +- Use existing Forge Generator +- Synchronous execution (blocking is OK) +- Simple text parsing for tool calls + +### Phase 2: Add Response Masking (Like VERL/NeMo-RL) + +**Goal:** Don't train on tool results + +```python +def build_episode_with_mask(messages, tokenizer): + """Build episode with response mask to exclude tool results.""" + all_tokens = [] + response_mask = [] + + for msg in messages: + tokens = tokenizer.encode(msg["content"], add_special_tokens=False) + + if msg["role"] == "assistant": + # Train on assistant tokens + all_tokens.extend(tokens) + response_mask.extend([1] * len(tokens)) + elif msg["role"] == "tool": + # Don't train on tool results + all_tokens.extend(tokens) + response_mask.extend([0] * len(tokens)) + else: + # Prompt tokens + all_tokens.extend(tokens) + response_mask.extend([0] * len(tokens)) + + return all_tokens, response_mask +``` + +### Phase 3: Async Pipelining (Like NeMo-RL) + +**Goal:** Don't block on tool execution + +```python +async def play_task_async(task_prompts, ...): + """Per-sample async tasks for pipelining.""" + # Create one task per sample + tasks = [ + asyncio.create_task(play_single_task(prompt, ...)) + for prompt in task_prompts + ] + + # Run concurrently + episodes = await asyncio.gather(*tasks) + return episodes + +async def play_single_task(prompt, ...): + """Single sample multi-turn loop.""" + while not done: + # Generate (may block) + response = await generator.generate_async(prompt_text) + + # Parse tool call + tool_call = parse_tool_call(response.text) + + # Execute tool (async, doesn't block other samples) + tool_result = await env_client.execute_tool_async(...) + + # Continue +``` + +**Benefit:** While sample 1 waits for tool result, sample 2/3/4 continue generating + +### Summary + +| Phase | Complexity | Performance | Features | +|-------|-----------|-------------|----------| +| 1: Simple | Low | OK | Multi-turn, text parsing, sync | +| 2: Masking | Medium | Better | + Don't train on tool results | +| 3: Async | High | Best | + Pipelined execution | + +**Recommendation:** Start with Phase 1, add Phase 2 when working, consider Phase 3 if bottlenecked. + +--- + +## Forge: Current Capabilities & Optimization Roadmap + +This section consolidates information about Forge's current state, what optimizations are available, and how to add multi-turn tool calling. + +### Current Forge Architecture + +#### What You Have ✅ + +**Generator** (`src/forge/actors/generator.py`) +- **vLLM v1 Engine**: Manual implementation mirroring AsyncLLMEngine (lines 71-578) +- **Async Interface**: `async def generate()` endpoint (line 290) +- **Request Queueing**: Uses `asyncio.Future` for async request handling (line 357) +- **Run Loop**: Continuous `schedule() → execute() → process()` pattern (line 396) +- **Architecture**: Coordinator (CPU) + Workers (GPU) via Monarch proc meshes + +**GRPO Main** (`apps/grpo/main.py`) +- **Parallel Rollout Threads**: Multiple `continuous_rollouts()` tasks (line 472) +- **Async Generation**: `await policy.generate.route()` (line 373) +- **Async Rewards**: `await reward_actor.evaluate_response.route()` (line 391) +- **Async Reference Model**: `await ref_model.forward.route()` (line 402) +- **Replay Buffer**: Decoupled rollout and training loops + +#### What You're Missing ❌ + +**Critical Missing Pieces** + +1. **vLLM AsyncLLM Engine** + - Current: Synchronous scheduler with async wrapper + - Missing: True `AsyncLLM` from `vllm.v1.engine.async_llm` + - Impact: Can't pipeline requests at vLLM level + +2. **Parallel Episode Execution** + - Current: Episodes in a group process sequentially (main.py:382-398) + - Missing: `asyncio.gather()` for parallel episode creation + - Impact: Reward evaluation blocks each other + +3. **Multi-turn / Tool Calling** + - Missing: Turn loop in rollout + - Missing: Message history tracking + - Missing: Tool execution logic + - Impact: Can't do multi-step reasoning tasks + +4. **Response Masking** + - Missing: Masks to exclude tool results from training + - Impact: Would train on environment outputs (bad!) + +### Quick Performance Wins (1-2 Days Implementation) + +**Impact**: 8-12x speedup on rollout collection +**Effort**: Low (refactor existing code) +**Risk**: Very low + +#### 1. Parallel Episode Processing + +**Current Bottleneck** (`apps/grpo/main.py:382-398`): +```python +for i, response in enumerate(responses): + episode.reward = await reward_actor.evaluate_response.route(...) # Sequential! +``` + +**Fix**: Use `asyncio.gather()` +```python +# Create episodes in parallel +episode_tasks = [ + create_episode_async(response, prompt, target, ...) + for response in responses +] +results = await asyncio.gather(*episode_tasks) +``` + +**Speedup**: `group_size`x on reward evaluation (8x if `group_size=8`) + +**Complete Implementation**: +```python +async def create_episode_async( + i: int, + response: Completion, + prompt: str, + target: str, + pad_id: int, + max_req_tokens: int, + max_res_tokens: int, + reward_actor: Any, +) -> tuple[Episode, torch.Tensor]: + """Create one episode with async reward evaluation.""" + import uuid + + episode = Episode( + episode_id=str(uuid.uuid4()), + pad_id=pad_id, + request_len=max_req_tokens, + response_len=max_res_tokens, + target=target, + completion=response, + ) + + # Async reward evaluation (doesn't block other episodes!) + episode.reward = await reward_actor.evaluate_response.route( + prompt=prompt, response=response.text, target=target + ) + + # Build input_ids row for reference model + input_ids_row = torch.ones(max_req_tokens + max_res_tokens, dtype=torch.long) + input_ids_row[:max_req_tokens] = episode.request_tensor + input_ids_row[max_req_tokens:] = episode.response_tensor + + return episode, input_ids_row +``` + +#### 2. Parallel Prompt Groups + +**Current**: Process one prompt at a time +```python +sample = await dataloader.sample.call_one() +responses = await policy.generate.route(prompt) # Then next prompt +``` + +**Fix**: Batch multiple prompts +```python +# Sample multiple prompts at once +samples = await asyncio.gather(*[ + dataloader.sample.call_one() + for _ in range(concurrent_prompts) +]) + +# Process all prompts concurrently +prompt_tasks = [ + process_single_prompt_group(sample, ...) + for sample in samples +] +episode_counts = await asyncio.gather(*prompt_tasks) +``` + +**Speedup**: ~4x if processing 4 prompts in parallel + +**Expected Combined Speedup**: 8x (parallel episodes) × 4x (parallel prompts) = **32x total** + +### What vLLM Flags You Can Use NOW + +**✅ Supported (No Code Changes)** + +Add these to `EngineArgs` in your config: + +```yaml +# apps/grpo/qwen3_1_7b.yaml +policy: + engine_args: + model: "Qwen/Qwen3-1.7B" + # Tool calling support (PRIME-RL pattern) + enable_auto_tool_choice: true + tool_call_parser: "hermes" # or "mistral", "llama", "internlm" + + # Standard vLLM performance flags + tensor_parallel_size: 1 + gpu_memory_utilization: 0.9 + max_model_len: 4096 + enable_prefix_caching: true # Helps with multi-turn! +``` + +**Impact**: +- `enable_auto_tool_choice`: vLLM parses tool calls natively (no regex needed) +- `tool_call_parser`: Specifies format (model-dependent) +- `enable_prefix_caching`: Caches prompt prefixes (useful for multi-turn) + +**❌ NOT Supported (Requires Refactor)** + +```python +# This requires AsyncLLM class (Phase 3.1): +async_engine: true # ❌ Your Generator uses synchronous Scheduler +``` + +### Recommended Implementation Roadmap + +#### Week 1: Quick Wins +1. ✅ Implement parallel episode processing (`asyncio.gather` for rewards) +2. ✅ Implement parallel prompt groups (process 4 prompts at once) +3. ✅ Add metrics to measure speedup +4. 🎯 **Target**: 8-32x speedup on rollout collection + +#### Weeks 2-3: Multi-turn Foundation +5. ✅ Add multi-turn loop (TRL pattern, token concatenation) +6. ✅ Add simple tool calling (text parsing, function map) +7. ✅ Add response masking (don't train on tool results) +8. ✅ Test on simple tool task (e.g., calculator) +9. 🎯 **Target**: Working tool calling RL + +#### Weeks 4-6: Production Multi-turn +10. ✅ Add vLLM native tool calling (`enable_auto_tool_choice`) +11. ✅ Add message history management (explicit list) +12. ✅ Add per-sample async tasks (NeMo-RL pattern) +13. ✅ Benchmark on Tau-bench or similar +14. 🎯 **Target**: Production-ready tool calling + +#### Future: Advanced Optimization (If Needed) +15. ⚠️ Refactor Generator to use AsyncLLM (if bottlenecked) +16. ⚠️ Add sample-level pipelining (if tool latency is high) +17. 🎯 **Target**: Maximum throughput + +### Comparison: Forge vs Other Libraries + +| Feature | Forge (Current) | After Quick Wins | After Multi-turn | NeMo-RL | PRIME-RL | +|---------|----------------|------------------|------------------|---------|----------| +| **Async Generation** | ✅ | ✅ | ✅ | ✅ | ✅ | +| **Parallel Episodes** | ❌ | ✅ | ✅ | ✅ | ✅ | +| **Parallel Prompts** | ❌ | ✅ | ✅ | ✅ | ❌ | +| **Multi-turn** | ❌ | ❌ | ✅ | ✅ | ✅ | +| **Tool Calling** | ❌ | ❌ | ✅ | ✅ | ✅ | +| **Response Masking** | ❌ | ❌ | ✅ | ✅ | ✅ | +| **vLLM Native Tools** | ❌ | ❌ | Optional | ❌ | ✅ | +| **vLLM AsyncLLM** | ❌ | ❌ | ❌ | ✅ | ✅ | +| **Per-Sample Pipeline** | ❌ | ❌ | ❌ | ✅ | ❌ | + +### Risk Assessment + +**Low Risk ✅** +- **Parallel episodes**: Just refactoring existing code +- **Parallel prompts**: Uses existing async API +- **Multi-turn loop**: Additive, doesn't change existing flow +- **Response masking**: Just modifies loss function + +**Medium Risk ⚠️** +- **vLLM native tools**: Depends on model support +- **Per-sample tasks**: Changes concurrency model + +**High Risk 🔴** +- **AsyncLLM refactor**: Major architectural change +- Recommendation: **Only do this if Quick Wins + Multi-turn aren't enough!** + +### Expected Performance Gains + +**Quick Wins (Week 1)** +- Baseline: 1 prompt with group_size=8 takes ~1 second +- Parallel episodes: 800ms → 100ms per group (8x) +- Parallel prompts: Process 4 groups in 100ms instead of 400ms (4x) +- **Total speedup**: ~32x on rollout collection + +**Multi-turn (Weeks 2-6)** +- Baseline: Multi-turn with 3 turns, 2 tools per episode +- Without optimization: Sequential turns, sequential tool calls +- With async tools: Parallel tool execution (~2x) +- With per-sample tasks: While Sample 1 waits, Sample 2 generates (~1.5x) +- **Total speedup**: ~3x additional (96x total from baseline) + +**AsyncLLM (Future)** +- Baseline: vLLM generation throughput +- Current: Synchronous scheduler +- AsyncLLM: Request pipelining at vLLM level +- **Additional speedup**: ~2x (if generation-bound) + +### Next Steps + +1. **Implement** Quick Wins (parallel episodes + parallel prompts) +2. **Test** speedup on your current GSM8K setup +3. **Measure** with existing metrics +4. **Add** multi-turn loop following TRL/BlackJack patterns above +5. **Avoid** AsyncLLM refactor unless absolutely necessary (high risk!) + +### Key Questions to Answer Before Implementing + +**What's your bottleneck?** +- If rollout collection: Quick Wins are enough +- If you need tool calling: Multi-turn required +- If generation-bound: Consider AsyncLLM (risky!) + +**What tasks are you targeting?** +- Single-turn (math, coding): Quick Wins only +- Multi-turn reasoning: Multi-turn required +- Complex tool workflows: Multi-turn + async tools + +**What's your timeline?** +- Need results this week: Quick Wins +- Research project (1-2 months): Multi-turn +- Production system: Multi-turn, consider AsyncLLM + +**What's your risk tolerance?** +- Low: Quick Wins + Multi-turn (Phases 1-2) +- Medium: Full Multi-turn + vLLM native tools +- High: AsyncLLM refactor (only if truly needed!) + +--- + +## Handling Multiple Environments (e.g., WebSearch + Coding) + +This section addresses the question: **What happens if you have multiple environments/domains (e.g., websearch AND coding tasks)?** + +Research conducted across all major frameworks: **Tinker-Cookbook (Meta)**, **Verifiers (Prime Intellect)**, **VERL**, and **NeMo-RL (Thinking Machines)**. + +--- + +### 1. Tinker-Cookbook: `CompositeDataset` Pattern ⭐ RECOMMENDED + +**Location**: `tinker-cookbook/distillation/datasets.py:45-84` + +Tinker uses a **`CompositeDataset`** that mixes multiple `RLDataset`s at the batch level. + +#### Core Abstraction: `EnvGroupBuilder` + +Every environment implements this interface: + +```python +# tinker_cookbook/rl/types.py:64-108 + +class EnvGroupBuilder(ABC): + """ + Builds a group of environments. Can be used for: + - Multi-agent environments + - GRPO groups (e.g., 8 copies for one problem) + """ + + @abstractmethod + async def make_envs(self) -> Sequence[Env]: + """Create a group of environments (e.g., 8 copies for GRPO)""" + pass + + async def compute_group_rewards( + self, trajectory_group: list[Trajectory], env_group: Sequence[Env] + ) -> list[tuple[float, Metrics]]: + """Compute final reward looking at whole group (optional)""" + return [(0.0, {}) for _ in trajectory_group] + + def logging_tags(self) -> list[str]: + """Tags for logging (e.g., ['gsm8k'], ['websearch'])""" + return [] +``` + +**Example: Math Environment** +```python +# tinker_cookbook/recipes/math_rl/math_env.py + +class Gsm8kDataset(RLDataset): + def get_batch(self, index: int) -> Sequence[EnvGroupBuilder]: + batch_start = index * self.batch_size + batch_end = min((index + 1) * self.batch_size, len(self.ds)) + return [ + ProblemGroupBuilder( + env_thunk=partial(MathEnv, problem, answer, self.renderer), + num_envs=group_size, # e.g., 8 for GRPO + dataset_name="gsm8k" + ) + for row in self.ds.select(range(batch_start, batch_end)) + ] +``` + +#### Mixing Multiple Environments: `CompositeDataset` + +```python +# tinker_cookbook/distillation/datasets.py:45-84 + +class CompositeDataset: + """Wraps multiple datasets and samples from each according to their groups_per_batch.""" + + def __init__(self, datasets: List[RLDataset], groups_per_batch_list: List[int]): + self.datasets = datasets + self.groups_per_batch_list = groups_per_batch_list + self.length = min(len(dataset) for dataset in datasets) + + def get_batch(self, i_batch: int) -> tuple[List[EnvGroupBuilder], List[int]]: + """ + Get a batch by sampling from each dataset. + + Returns: + env_group_builders: List of all env group builders (mixed!) + dataset_indices: Which dataset each builder came from + """ + all_env_group_builders = [] + all_dataset_indices = [] + + for dataset_idx, (dataset, groups_per_batch) in enumerate( + zip(self.datasets, self.groups_per_batch_list) + ): + env_group_builders = dataset.get_batch(i_batch) + all_env_group_builders.extend(env_group_builders) + all_dataset_indices.extend([dataset_idx] * groups_per_batch) + + return all_env_group_builders, all_dataset_indices +``` + +#### How Training Works with Mixed Environments + +```python +# tinker_cookbook/rl/train.py:357 + +# Training loop +for i_batch in range(num_batches): + # Get batch of EnvGroupBuilders (could be from different envs!) + env_group_builders_P = dataset.get_batch(i_batch) + + # Rollout each group asynchronously + for builder in env_group_builders_P: + trajectory_group = await do_group_rollout( + sampling_client, + builder, # Each builder knows its own env type! + max_tokens=cfg.max_tokens, + ) + + # Training data assembly + # Each trajectory_group has its own reward/metrics + # Logging uses builder.logging_tags() to separate metrics +``` + +**Key insight:** Each `EnvGroupBuilder` is self-contained: +- Knows how to create its environments +- Knows how to compute rewards +- Has its own logging tags + +#### Concrete Example: Mixing WebSearch and Coding + +```python +from tinker_cookbook.rl.types import RLDataset, EnvGroupBuilder +from tinker_cookbook.distillation.datasets import CompositeDataset + +# 1. Define WebSearch dataset +class WebSearchDataset(RLDataset): + def get_batch(self, index: int) -> Sequence[EnvGroupBuilder]: + return [ + ToolUseGroupBuilder( + env_thunk=partial( + SearchEnv, + problem=row["query"], + answer=row["answer"], + tool_client=search_tool_client, # search_pages, view_sections + renderer=renderer, + ), + num_envs=8, + dataset_name="websearch" + ) + for row in self.ds.select(batch_indices) + ] + +# 2. Define Coding dataset +class CodingDataset(RLDataset): + def get_batch(self, index: int) -> Sequence[EnvGroupBuilder]: + return [ + ToolUseGroupBuilder( + env_thunk=partial( + CodeEnv, + problem=row["task"], + test_cases=row["tests"], + tool_client=code_tool_client, # execute_code, debug + renderer=renderer, + ), + num_envs=8, + dataset_name="coding" + ) + for row in self.ds.select(batch_indices) + ] + +# 3. Mix them with CompositeDataset +mixed_dataset = CompositeDataset( + datasets=[ + WebSearchDataset(...), + CodingDataset(...), + ], + groups_per_batch_list=[ + 50, # 50 websearch groups per batch + 50, # 50 coding groups per batch + ] +) + +# 4. Use in training +for i_batch in range(num_batches): + env_group_builders, dataset_indices = mixed_dataset.get_batch(i_batch) + # env_group_builders has 100 items: 50 websearch + 50 coding + # Each knows its own tools, max_turns, reward function! +``` + +**Why this works:** +- ✅ **Batch-level mixing**: Each batch contains groups from multiple datasets +- ✅ **Decentralized**: Each `EnvGroupBuilder` is independent +- ✅ **Flexibility**: Control exact ratio per batch (`groups_per_batch_list=[50, 50]`) +- ✅ **Logging**: Each builder has its own tags for separate metrics + +--- + +### 2. Verifiers (Prime Intellect): `EnvGroup` Pattern + +**Location**: `verifiers/verifiers/envs/env_group.py` + +Verifiers has an **`EnvGroup`** class specifically designed for mixing environments: + +```python +# verifiers/verifiers/envs/env_group.py + +class EnvGroup(Environment): + """Environment group that acts as a mixture of multiple environments.""" + + def __init__(self, envs: list[Environment], env_names: list[str] | None = None): + self.envs = envs + self.env_names = env_names or [f"env_{i}" for i in range(len(envs))] + + # Create mapping for quick lookup + self.env_map = {name: env for name, env in zip(self.env_names, self.envs)} + + # Concatenate datasets with task labels + for env, name in zip(self.envs, self.env_names): + env_dataset = env.get_dataset().map(lambda x: {**x, "task": name}) + datasets.append(env_dataset) + + # Combine all datasets + dataset = concatenate_datasets(datasets) +``` + +#### How EnvGroup Routes to Environments + +```python +async def rollout(self, client, model, prompt, task, ...): + # Route to appropriate environment based on task + env = self.env_map[task] + + # Set tools for this task's environment + if hasattr(env, "oai_tools") and env.oai_tools: + info["oai_tools"] = env.oai_tools # Different tools per env! + + # Execute rollout with task-specific environment + completion, state = await env.rollout(client, model, prompt, ...) +``` + +#### Example Usage + +```python +# Define environments +websearch_env = vf.ToolEnv( + dataset=websearch_dataset, + tools=[search_pages, view_sections], # Web search tools + max_turns=10 +) + +coding_env = vf.ToolEnv( + dataset=coding_dataset, + tools=[execute_code, debug_code], # Coding tools + max_turns=15 +) + +# Combine into EnvGroup +env = EnvGroup( + envs=[websearch_env, coding_env], + env_names=["websearch", "coding"] +) + +# Training: samples automatically routed to correct environment +generate_outputs = await env.generate( + inputs=mixed_dataset, # Has both websearch and coding samples + client=client, + model=model_name +) +``` + +**How it works:** +1. Each sample gets a `task` field (e.g., `"websearch"` or `"coding"`) +2. `EnvGroup.rollout()` routes to appropriate environment based on task +3. Different tools, max_turns, reward functions per environment + +**Key advantages:** +- ✅ **Sample-level routing**: Automatic based on task field +- ✅ **Centralized**: `EnvGroup` owns all sub-environments +- ✅ **Simpler API**: Just pass task name, routing is automatic +- ✅ **Different configurations**: Each environment has its own tools, max_turns, rubric + +--- + +### 3. VERL: Separate Config Files (Manual Approach) + +**Location**: `verl/examples/sglang_multiturn/config/tool_config/` + +VERL uses **separate YAML config files** for different tool sets: + +```yaml +# gsm8k_tool_config.yaml +tools: + - class_name: "verl.tools.gsm8k_tool.Gsm8kTool" + tool_schema: + type: "function" + function: + name: "calc_gsm8k_reward" + parameters: {...} + +# sandbox_fusion_tool_config.yaml (for coding) +tools: + - class_name: "verl.tools.sandbox_fusion_tools.SandboxFusionTool" + config: + sandbox_fusion_url: "..." + tool_schema: + type: "function" + function: + name: "code_interpreter" + parameters: {...} +``` + +**How they handle multiple environments:** +- **Option A**: Run separate training jobs with different configs + ```bash + # Job 1: Math with calculator tool + python main.py --tool_config gsm8k_tool_config.yaml + + # Job 2: Coding with sandbox tool + python main.py --tool_config sandbox_fusion_tool_config.yaml + ``` + +- **Option B**: Load tools dynamically based on task (manual implementation) + +**Limitation:** Not designed for mixed datasets out-of-the-box. + +--- + +### 4. NeMo-RL (Thinking Machines): Environment Registry + +**Location**: `RL/nemo_rl/distributed/ray_actor_environment_registry.py` + +NeMo-RL has an **`ACTOR_ENVIRONMENT_REGISTRY`** but it's for Python environments, not task routing: + +```python +ACTOR_ENVIRONMENT_REGISTRY: dict[str, str] = { + "nemo_rl.environments.math_environment.MathEnvironment": PY_EXECUTABLES.SYSTEM, + "nemo_rl.environments.code_environment.CodeEnvironment": PY_EXECUTABLES.SYSTEM, + "nemo_rl.environments.vlm_environment.VLMEnvironment": PY_EXECUTABLES.SYSTEM, + ... +} +``` + +**This is different:** It maps environment classes to Python virtual environments (for dependency isolation), not for routing during training. + +**How to handle multiple environments in NeMo-RL:** +```python +# In your config/code, you'd specify which environment to use +task_to_env = { + "websearch": WebSearchEnvironment(...), + "coding": CodeEnvironment(...), +} + +# In rollout loop: +env = task_to_env[sample["task_type"]] +result = await env.step(action) +``` + +**Similar to Verifiers' approach but manual.** + +--- + +### Framework Comparison Table + +| Framework | Multi-Env Support | Routing Method | Tools Per Env | Best For | +|-----------|-------------------|----------------|---------------|----------| +| **Tinker (Meta)** | ✅ Built-in `CompositeDataset` | Batch-level mixing | ✅ Different tools | **Production multi-env** | +| **Verifiers (Prime)** | ✅ Built-in `EnvGroup` | `task` field in dataset | ✅ Different tools | **Production multi-env** | +| **VERL** | ⚠️ Manual | Separate configs | Config-based | Single env per job | +| **NeMo-RL** | ⚠️ Manual | Dict lookup | Code-based | Custom routing logic | + +--- + +### Recommendation for Forge + Tau2Bench + +**Use Tinker's `CompositeDataset` pattern** (most flexible for your use case): + +```python +# 1. Define your environments +from tinker_cookbook.rl.types import RLDataset, EnvGroupBuilder +from tinker_cookbook.distillation.datasets import CompositeDataset + +websearch_env_builder = ToolUseGroupBuilder( + env_thunk=partial(WebSearchEnv, tools=[search_wiki, view_page], max_turns=10), + num_envs=8, + dataset_name="websearch" +) + +coding_env_builder = ToolUseGroupBuilder( + env_thunk=partial(CodingEnv, tools=[execute_python, execute_bash], max_turns=15), + num_envs=8, + dataset_name="coding" +) + +# 2. Create datasets +websearch_dataset = Tau2BenchDataset(domain="websearch", builders=[websearch_env_builder]) +coding_dataset = Tau2BenchDataset(domain="coding", builders=[coding_env_builder]) + +# 3. Combine into CompositeDataset +mixed_dataset = CompositeDataset( + datasets=[websearch_dataset, coding_dataset], + groups_per_batch_list=[50, 50] # 50 websearch + 50 coding per batch +) + +# 4. Use in Forge rollout +async def continuous_rollouts(): + while True: + # Get mixed batch + env_group_builders, dataset_indices = mixed_dataset.get_batch(batch_idx) + + # Each builder knows its own environment type! + for builder in env_group_builders: + episodes = await play_task_with_env_builder( + policy=policy, + env_builder=builder, # Handles routing internally + ) +``` + +**Why this works:** +- ✅ **Different tools** per environment (websearch vs coding) +- ✅ **Different max_turns** per environment +- ✅ **Different rewards** per environment +- ✅ **Unified training loop** (no special casing needed) +- ✅ **Separate metrics** (via logging_tags) +- ✅ **Flexible mixing ratios** (control via groups_per_batch_list) + +**Alternative (simpler but less flexible):** +Implement simple routing yourself: +```python +task_to_env = { + "websearch": websearch_env, + "coding": coding_env, +} + +async def play_task(task_sample, policy, tokenizer): + env = task_to_env[task_sample["task_type"]] + # Use env-specific tools and max_turns + ... +``` + +--- + +### Summary + +**Best patterns for handling multiple environments:** + +1. **Tinker's `CompositeDataset`**: Batch-level mixing, decentralized, flexible ratios +2. **Verifiers' `EnvGroup`**: Sample-level routing, centralized, automatic +3. **Manual routing**: Simple dict lookup, full control + +**For Forge + Tau2Bench:** Start with Tinker's pattern for maximum flexibility, or implement simple dict-based routing if you want to keep it simple. diff --git a/brainstorming_forge_tau/5_tutorial_multiturn_toolcalling.md b/brainstorming_forge_tau/5_tutorial_multiturn_toolcalling.md new file mode 100644 index 000000000..c5179f78d --- /dev/null +++ b/brainstorming_forge_tau/5_tutorial_multiturn_toolcalling.md @@ -0,0 +1,2055 @@ +# Tutorial: Multi-turn + Tool Calling in Forge for Tau2Bench + +**Goal:** This document teaches you the fundamentals of multi-turn and tool calling, shows concrete examples from Tau2Bench, explains how to implement it in Forge with OpenEnv, and provides a clear implementation plan. + +**For:** Junior developers new to RL and the Forge codebase + +**Status:** Tutorial + Planning Document + +--- + +## Table of Contents + +1. [Part 1: The Fundamentals](#part-1-the-fundamentals) +2. [Part 2: Tau2Bench Deep Dive](#part-2-tau2bench-deep-dive) +3. [Part 3: How Forge Currently Works](#part-3-how-forge-currently-works) +4. [Part 4: How Other Libraries Do It](#part-4-how-other-libraries-do-it) +5. [Part 5: Implementation Plan for Forge](#part-5-implementation-plan-for-forge) +6. [Part 6: Performance & Async Patterns](#part-6-performance--async-patterns) +7. [Part 7: What's Already Supported vs What Needs to Be Added](#part-7-whats-already-supported-vs-what-needs-to-be-added) + + +## Part 2: Tau2Bench Deep Dive + +### What is Tau2Bench? + +Tau2Bench is a **benchmark** for evaluating conversational agents in customer service scenarios. It tests if agents can: + +1. **Follow policies** (domain-specific rules) +2. **Use tools correctly** (call the right functions with right arguments) +3. **Communicate well** (talk to users naturally) +4. **Complete tasks** (achieve the goal) + +**Key Insight:** Tau2 is ONLY for evaluation. We'll train a model on different dataset and then evaluate on Tau2. + +--- + +### Tau2 Task Structure + +**📁 Code Reference:** `tau2-bench/data/tau2/domains/mock/tasks.json:1-28` + +Here's a complete task from the `mock` domain: + +```json +{ + "id": "create_task_1", + "description": { + "purpose": "Test the create_task functionality", + "notes": "Basic task creation test with a simple title" + }, + "user_scenario": { + "persona": "Professional and direct communicator", + "instructions": "Create a new task called 'Important Meeting' for user_1." + }, + "ticket": "User needs to create a task for an upcoming meeting. Create a new task called 'Important Meeting' for user_1.", + "evaluation_criteria": { + "actions": [ + { + "action_id": "create_1", + "name": "create_task", + "arguments": { + "user_id": "user_1", + "title": "Important Meeting" + }, + "info": "Create a new task for the meeting" + } + ], + "nl_assertions": [ + "The agent confirmed the task was created successfully" + ] + } +} +``` + +**Key insight:** Evaluation is done by checking if expected tools were called and by having another LLM confirm that the task was created successfully. + +--- + +### Tau2 Available Tools (Mock Domain) + +**📁 Code Reference:** `tau2-bench/src/tau2/domains/mock/tools.py` + +The `mock` domain has these tools: + +```python +# Tool 1: Create a task +create_task(user_id: str, title: str, description: str = None) -> Task + +# Tool 2: Get all users +get_users() -> list[User] + +# Tool 3: Update task status +update_task_status(task_id: str, status: str) -> Task +# status can be "pending" or "completed" + +# Tool 4: Transfer to human agent +transfer_to_human_agents(summary: str) -> str +``` + +**Other domains have different tools:** + +- `airline` - Search flights, book tickets, cancel bookings, etc. +- `retail` - Product search, orders, returns, refunds +- `telecom` - Account management, troubleshooting, plan changes + +--- + +### Example Multi-turn Interaction on Tau2 + +**Task:** Create a task and mark it as completed + +**Full Conversation:** + +``` +[Turn 1 - User] +"Hi! I need to create a task called 'Team Standup' for user_1 and then mark it as completed." + +[Turn 2 - Assistant] + + +[Turn 3 - Tool Result] +{"task_id": "task_2", "title": "Team Standup", "status": "pending"} + +[Turn 4 - Assistant] +"I've created the task 'Team Standup'. The task ID is task_2. Let me mark it as completed now." + +[Turn 5 - Assistant] + + +[Turn 6 - Tool Result] +{"task_id": "task_2", "title": "Team Standup", "status": "completed"} + +[Turn 7 - Assistant] +"Done! Task 'Team Standup' (task_2) is now marked as completed." + +[Turn 8 - User] +"Thanks!" + +[Turn 9 - Assistant] + # Special tool to signal completion +``` + +**Episode ends when:** +- Agent calls `done()` tool +- User says stop keywords (like "bye", "thanks") +- Max turns reached + +--- + +### How Tau2 Scores Episodes + +Tau2 evaluates based on multiple criteria: + +**1. ACTION Criteria** - Did the agent call the right tools with right arguments? + +```python +"evaluation_criteria": { + "actions": [ + { + "name": "create_task", + "arguments": { + "user_id": "user_1", + "title": "Important Meeting" + } + } + ] +} + +# Scoring: Agent must have called create_task with these arguments (order doesn't matter) +``` + +**2. ENV Criteria** - Is the database/environment state correct? + +```python +"env_assertions": [ + { + "func_name": "assert_task_status", + "arguments": {"task_id": "task_2", "expected_status": "completed"} + } +] + +# Scoring: After episode, task_2 must have status="completed" +``` + +**3. NL_ASSERTIONS Criteria** - Did the agent communicate properly? + +```python +"nl_assertions": [ + "The agent confirmed the task was created successfully" +] + +# Scoring: LLM judges if this assertion is true based on conversation +``` + +**Final Score:** + +```python +# Each criterion returns 0.0 or 1.0 +action_score = 1.0 if all_actions_correct else 0.0 +env_score = 1.0 if all_env_assertions_pass else 0.0 +nl_score = 1.0 if all_nl_assertions_pass else 0.0 + +# Final reward is the product (all must pass!) +final_reward = action_score * env_score * nl_score +``` + +--- + +### Tau2 Modes + +**1. Normal Mode** - Agent talks to user simulator + +``` +Agent ←→ User Simulator (another LLM) + ↓ +Environment (executes tools, tracks state) +``` + +**2. Solo Mode** - Agent works alone on a ticket + +``` +Agent gets ticket description + ↓ +Agent uses tools to complete task + ↓ +No user interaction +``` + +**For training:** Solo mode is simpler. Normal mode requires user simulation. +**For evaluatoin:** Both modes are valid in the leaderboard. Using an agent is more challenging and usually has lower score: https://taubench.com/#leaderboard + + +--- + +## Part 1: The Fundamentals + +### What is Tool Calling? + +**Tool calling** is when a language model can invoke external functions/APIs instead of just generating text. + +**Simple Example:** + +``` +User: "What's the weather in NYC?" + +WITHOUT tool calling: +Model: "I don't have access to real-time weather data..." + +WITH tool calling: +Model: get_weather(location="NYC") # this gets parsed and executed +System: Returns "72°F, sunny" +Model: "It's 72°F and sunny in NYC!" +``` + +**Tool Definition Example (from Tau2 Mock domain):** + +**📁 Code Reference:** `tau2-bench/src/tau2/domains/mock/tools.py:14-40` + +```python +def create_task(user_id: str, title: str, description: str = None) -> Task: + """ + Create a new task for a user. + + Args: + user_id: The ID of the user creating the task + title: The title of the task + description: Optional description of the task + + Returns: + The created task + """ + task_id = f"task_{len(db.tasks) + 1}" + task = Task(task_id=task_id, title=title, description=description, status="pending") + db.tasks[task_id] = task + return task +``` + +The tool description can be converted to an OpenAI-style tool schema and displayed in the system prompt, so models know which tools are available and how to call them: + +```json +{ + "type": "function", + "function": { + "name": "create_task", + "description": "Create a new task for a user.", + "parameters": { + "type": "object", + "properties": { + "user_id": {"type": "string", "description": "The ID of the user creating the task"}, + "title": {"type": "string", "description": "The title of the task"}, + "description": {"type": "string", "description": "Optional description of the task"} + }, + "required": ["user_id", "title"] + } + } +} +``` + +--- + +### What is Multi-turn? + +**Multi-turn** means a conversation or interaction that spans multiple back-and-forth exchanges (turns). + +**Visual Comparison:** + +``` +SINGLE-TURN (Current Forge GRPO): +┌─────────────┐ +│ User Prompt │ → Model generates response → Episode ends +└─────────────┘ + +MULTI-TURN (What we need): +┌─────────────┐ +│ User Prompt │ → Model response → Tool execution → Model response → Tool execution → ... → Done +└─────────────┘ + Turn 1 Turn 2 Turn 3 Turn 4 Turn 5 +``` + +**NOTE**: Tau2bench ha a "SOLO" mode, as described above, where the agent interacts with the system by calling tools until the task is completed. Another mode, with solo=False, an LLM can act as an user. In their benchmark, results can be posted in both ways. For our implementation, I suggest we use solo=True. Leaderboard link: https://taubench.com/#leaderboard + +**Concrete Example:** +``` +Turn 1: + User: "Create a task called 'Important Meeting' for user_1" + +Turn 2: + Assistant: + +Turn 3: + System (Tool): Returns Task(task_id="task_2", title="Important Meeting", status="pending") + +Turn 4: + Assistant: "I've created the task 'Important Meeting' for you." + +Turn 5: + User: "Great! Now mark it as completed." + +Turn 6: + Assistant: + +Turn 7: + System (Tool): Returns Task(task_id="task_2", title="Important Meeting", status="completed") + +Turn 8: + Assistant: "Done! Task_2 is now marked as completed." +``` + +**Key Insight:** Each turn builds on the conversation history. The model needs to see all previous turns to understand context. + +--- + +### Message Format (OpenAI Standard) + +Multi-turn conversations are represented as a list of messages: + +```python +messages = [ + {"role": "system", "content": "You are a helpful task management assistant."}, + {"role": "user", "content": "Create a task called 'Important Meeting' for user_1"}, + { + "role": "assistant", + "content": None, + "tool_calls": [{ + "id": "call_123", + "type": "function", + "function": { + "name": "create_task", + "arguments": '{"user_id": "user_1", "title": "Important Meeting"}' + } + }] + }, + { + "role": "tool", + "content": '{"task_id": "task_2", "title": "Important Meeting", "status": "pending"}', + "tool_call_id": "call_123" + }, + { + "role": "assistant", + "content": "I've created the task 'Important Meeting' for you. It's task_2." + } +] +``` + +**Message Roles:** +- `system` - Instructions for the model +- `user` - Human input +- `assistant` - Model's response (can be text or tool calls) +- `tool` - Result from tool execution + +--- + +### Two Approaches to Tool Calling + +**Approach 1: Native Function Calling (vLLM, OpenAI)** + +The model is trained to output structured tool calls: + +```python +# Model output is automatically parsed +response = { + "content": None, + "tool_calls": [{ + "function": { + "name": "create_task", + "arguments": '{"user_id": "user_1", "title": "Meeting"}' + } + }] +} +``` +--- + +**Approach 2: Text-Based Parsing (BlackJack pattern)** + +The model outputs text, and you parse it: + +```python +# Model output is plain text +response_text = "create_task(user_id='user_1', title='Meeting')" + +# You parse it +import re +match = re.search(r'(\w+)\((.*)\)', response_text) +if match: + function_name = match.group(1) + # Parse arguments... +``` + + +--- + +## Part 3: How Forge Currently Works + +### Current Forge GRPO Flow (GSM8K Example) + +Forge currently does **single-turn** training on math problems: + +```python +# apps/grpo/main.py - Simplified + +# 1. Sample a math problem +prompt = "What is 25 * 4?" +target = "100" + +# 2. Generate G responses using vllm +responses = await policy.generate(prompt, num_responses=G) # G=8 typically +# responses = ["100", "100", "99", "100", "100", "101", "100", "100"] + +# 3. Score each response +rewards = [] +for response in responses: + reward = 1.0 if extract_answer(response) == target else 0.0 + rewards.append(reward) +# rewards = [1.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0, 1.0] + +# 4. Get reference logprobs (for KL penalty) +ref_logprobs = await ref_model.forward(prompt, responses) + +# 5. Compute advantages (group-relative), i.e. z-score normalized +# so we reward better answers and penalize worse ones +advantages = [] +for i, reward in enumerate(rewards): + advantage = reward - mean(rewards) # Group-relative + advantages.append(advantage) +# advantages = [0.125, 0.125, -0.875, 0.125, 0.125, -0.875, 0.125, 0.125] + +# 6. Create episodes +episodes = [] +for i in range(G): + episode = Episode( + prompt=prompt, + response=responses[i], + reward=rewards[i], + advantage=advantages[i], + ref_logprobs=ref_logprobs[i] + ) + episodes.append(episode) + +# 7. Add to replay buffer +await replay_buffer.add(episodes) + +# 8. Training loop samples from buffer and trains +batch = await replay_buffer.sample(batch_size=32) +loss = grpo_loss(batch) +trainer.train_step(loss) +``` + +**Summary:** + +We currently have: Single prompt → single response +[ ] No multi-turn support +[ ] No tool calling + +--- + +### What Forge is Missing for Tool Calling + +**Missing Pieces:** + +1. **Tool Definition System** + [ ] Need to define available tools + [ ] Convert to OpenAI schema format + [ ] Pass to vLLM during generation + +2. **Response Parsing** + [ ] Detect if response contains tool calls + [ ] Parse tool name and arguments + [ ] Handle both text format and native function calling + +3. **Multi-turn Loop** + [ ] Keep conversation history + [ ] Execute tool calls + [ ] Add tool results to history + [ ] Continue generating until done + +4. **Episode Structure for Multi-turn** + [ ] Track which tokens are LLM-generated vs tool results + [ ] Response mask (train only on LLM tokens, not tool results) + [ ] Multiple turns per episode + +5. **Environment Integration** + [ ] Connect to OpenEnv (or other environment) + [ ] Execute tool calls in sandboxed environment + [ ] Get rewards from environment + +--- + +## Part 4: How Other Libraries Do It + +### Pattern 1: OpenEnv BlackJack (Simplest, Proven with Forge) + +**📁 Code Reference:** `OpenEnv/examples/grpo_blackjack/grpo_utils.py` (search for `async def play_game`) + +```python +async def play_game(game_id, server_url, policy, tokenizer): + """Play a full BlackJack game, returning all steps.""" + + # 1. Initialize environment + env = OpenSpielEnv(base_url=server_url) + result = env.reset() # Start game + + # 2. Game loop + step_num = 0 + action_history = [] + game_steps = [] + done = False + + while not done and step_num < MAX_STEPS: + # 3. Format prompt with game state + prompt = format_prompt(step_num, action_history, tokenizer) + + # 4. Generate response + response = await policy.generate(prompt) + + # 5. Parse action from text + action_id = parse_action(response.text, obs.legal_actions) + # response.text might be "HIT" or "I choose to STAND" + # parse_action extracts: 0 (HIT) or 1 (STAND) + + # 6. Store step data + game_steps.append({ + "step_num": step_num, + "prompt": prompt, + "response": response, + }) + + # 7. Execute action in environment + result = env.step(OpenSpielAction(action_id=action_id)) + obs = result.observation + done = result.done + + action_history.append((action_id, "HIT" if action_id == 0 else "STAND")) + step_num += 1 + + # 8. Get final reward + final_reward = result.reward # +1 (win), -1 (loss), 0 (push) + + # 9. Assign final reward to ALL steps + all_step_results = [] + for step_data in game_steps: + all_step_results.append({ + "game_id": game_id, + "final_reward": final_reward, + **step_data, + }) + + return all_step_results +``` + +**Prompt Formatting:** + +**📁 Code Reference:** `OpenEnv/examples/grpo_blackjack/grpo_utils.py` + +```python +def format_prompt(step_num: int, action_history: list, tokenizer) -> str: + system = "You are an expert BlackJack player. Output only 'HIT' or 'STAND'." + + state_desc = f"=== BlackJack Game (Step {step_num + 1}) ===\n\n" + + # Include previous actions in prompt + if action_history: + state_desc += "Previous actions:\n" + for i, (_, name) in enumerate(action_history): + state_desc += f" {i + 1}. {name}\n" + state_desc += "\n" + + state_desc += "What do you do? (Output only 'HIT' or 'STAND')" + + # Use chat template + chat = [ + {"role": "system", "content": system}, + {"role": "user", "content": state_desc}, + ] + + return tokenizer.apply_chat_template(chat, tokenize=False, add_generation_prompt=True) +``` + +**Action Parsing:** + +**📁 Code Reference:** `OpenEnv/examples/grpo_blackjack/grpo_utils.py:205-229` + +```python +def parse_action(response_text: str, legal_actions: list[int]) -> int: + text_lower = response_text.lower().strip() + + if "hit" in text_lower: + action_id = 0 + elif "stand" in text_lower: + action_id = 1 + else: + action_id = 1 # Default: STAND + + # Ensure action is legal + if action_id not in legal_actions: + action_id = legal_actions[0] + + return action_id +``` + +**Episode Creation:** + +**📁 Code Reference:** `OpenEnv/examples/grpo_blackjack/grpo_utils.py` (in `continuous_rollouts` function) + +```python +# In continuous_rollouts: + +# Play {group_size} games +for game_idx in range(group_size): + game_id = str(uuid.uuid4())[:8] + step_results = await play_game(game_id, server_url, policy, tokenizer) + all_step_results.extend(step_results) + +# Create one episode PER STEP +episodes = [] +for step_result in all_step_results: + episode = Episode( + episode_id=str(uuid.uuid4()), + game_id=step_result["game_id"], + step_in_game=step_result["step_num"], + completion=step_result["response"], + # ... other fields + ) + + # Assign reward (final game reward for all steps) + episode.reward = step_result["final_reward"] + + episodes.append(episode) +``` + +**Key Takeaways:** + +✅ **Text parsing works** - No need for complex function calling +✅ **One episode per step** - Each step in the game is a separate episode +✅ **Final reward for all steps** - Sparse reward assigned to entire trajectory +✅ **Action history in prompts** - Model sees what it did before +✅ **Simple, proven pattern** - This works with Forge today! + +--- + +### Pattern 2: Verifiers ToolEnv (Production-Ready Tool Calling) + +**Location:** `/home/felipemello/forge/verifiers/verifiers/envs/tool_env.py` + +**Key Insight:** Clean API for tool calling with OpenAI-style function calling. + +**Defining Tools:** + +**📁 Code Reference:** See examples in `verifiers/environments/wiki_search/wiki_search.py:99-128` + +```python +# Just write normal Python functions with type hints! +async def search_wiki(query: str) -> list[str]: + """ + Search Wikipedia for relevant articles. + + Args: + query: The search query string. + + Returns: + List of article titles matching the query. + """ + results = await wikipedia_api.search(query) + return [article.title for article in results] + +# Convert to OpenAI schema automatically +tool_schema = convert_func_to_oai_tool(search_wiki) +``` + +**Multi-turn Rollout Loop:** + +**📁 Code Reference:** `verifiers/verifiers/envs/multiturn_env.py:55-149` + +```python +# verifiers/envs/multiturn_env.py (simplified) + +async def rollout(client, model, prompt, tools, max_turns=10): + """Generate a multi-turn rollout with tools.""" + + messages = [{"role": "user", "content": prompt}] + turn = 0 + + while turn < max_turns: + # 1. Call LLM with tools + response = await client.chat.completions.create( + model=model, + messages=messages, + tools=tools, # OpenAI tool schemas + ) + + # 2. Add assistant message + assistant_msg = { + "role": "assistant", + "content": response.choices[0].message.content + } + + # 3. Check for tool calls: append the tool calls -> execute -> append their results + if response.choices[0].message.tool_calls: + assistant_msg["tool_calls"] = [ + tc.model_dump() for tc in response.choices[0].message.tool_calls + ] + messages.append(assistant_msg) + + # 4. Execute tools + for tool_call in response.choices[0].message.tool_calls: + tool_name = tool_call.function.name + tool_args = json.loads(tool_call.function.arguments) + + # Execute the tool + result = await execute_tool(tool_name, tool_args) + + # Add tool result to messages + messages.append({ + "role": "tool", + "content": str(result), + "tool_call_id": tool_call.id + }) + else: + # No tool calls, episode done + messages.append(assistant_msg) + break + + turn += 1 + + return messages +``` + +**Tool Execution:** + +**📁 Code Reference:** `verifiers/verifiers/envs/tool_env.py:43-89` + +```python +class ToolEnv: + def __init__(self, tools: list[Callable]): + # Map function name to function + self.tool_map = {tool.__name__: tool for tool in tools} + + # Convert to OpenAI schemas + self.oai_tools = [convert_func_to_oai_tool(tool) for tool in tools] + + async def execute_tool(self, tool_name: str, arguments: dict): + """Execute a tool and return the result.""" + if tool_name not in self.tool_map: + raise ValueError(f"Unknown tool: {tool_name}") + + tool_func = self.tool_map[tool_name] + result = await tool_func(**arguments) + return result +``` + +**Key Takeaways:** + +✅ **Simple tool definition** - Just type-hinted Python functions +✅ **OpenAI-compatible** - Uses standard OpenAI API format +✅ **Clean loop structure** - Easy to understand and modify +✅ **Automatic schema generation** - No manual JSON writing +✅ **Production-ready** - Used by PRIME-RL and others + +--- + +### Pattern 3: VERL/NeMo-RL (Response Masking for Multi-turn) + +**📁 Code References:** +- VERL: `verl/` repository (see `4_examples_APIs.md` for details) +- NeMo-RL: `RL/` repository (see `4_examples_APIs.md` for details) +- Verifiers: `verifiers/verifiers/utils/processing_utils.py` (has `process_env_results_vllm`) + +**Key Insight:** When training on multi-turn with tools, you need to **mask out tool results** so the model only trains on its own generated tokens. + +**Why Masking Matters:** + +``` +Conversation: +[User] "Search for AI" +[Assistant] ← Train on this +[Tool] "Results: [AI article 1, 2, 3]" ← DON'T train on this (not model output) +[Assistant] "I found 3 articles..." ← Train on this + +Response Mask: +[1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1] + ↑ LLM tokens ↑ Tool result tokens ↑ LLM tokens +``` + +**Response Mask Pattern:** + +```python +# Building the response with mask +response_tokens = [] +response_mask = [] + +# Turn 1: Assistant generates tool call +assistant_tokens = tokenize("") +response_tokens.extend(assistant_tokens) +response_mask.extend([1] * len(assistant_tokens)) # Train on these + +# Turn 2: Tool result (not LLM output) +tool_result_tokens = tokenize("Results: [article 1, 2, 3]") +response_tokens.extend(tool_result_tokens) +response_mask.extend([0] * len(tool_result_tokens)) # DON'T train on these + +# Turn 3: Assistant responds +assistant_tokens_2 = tokenize("I found 3 articles about AI...") +response_tokens.extend(assistant_tokens_2) +response_mask.extend([1] * len(assistant_tokens_2)) # Train on these + +# In training: +loss = compute_loss(logits, response_tokens, response_mask) +# Only tokens with mask=1 contribute to loss +``` + +**Key Takeaways:** + +✅ **Critical for multi-turn** - Prevents training on tool outputs +✅ **Simple concept** - Just track which tokens are LLM vs system +✅ **Used by all production systems** - VERL, NeMo-RL, Verifiers + +--- + +### Pattern 4: Async vLLM for Pipelined Tool Calling (NeMo-RL) + +**📁 Code References:** +- NeMo-RL: `RL/` (see `4_examples_APIs.md` lines 660-1190 for full details) +- Sample-level concurrency: `RL/.../rollouts.py:780-936` +- vLLM async worker: `RL/.../vllm_worker_async.py:496-714` + +**Key Insight:** Use async/await pattern with sample-level concurrency so fast samples don't wait for slow ones. + +**The Problem with Synchronous:** + +``` +Batch of 4 samples: +Sample 1: Gen[██████] → Tool[████] → Gen[████] → Done +Sample 2: Gen[████] → Tool[██] → Gen[██] → Done +Sample 3: Gen[██] → Done +Sample 4: Gen[████████] → Tool[██████] → Gen[██] → Done + +Synchronous: Wait for ALL samples to finish each stage +Total time: Max(all samples) per stage +``` + +**Async Pattern:** + +```python +async def run_rollout_batch(samples): + # Create async task for each sample + tasks = [ + run_single_sample(sample) + for sample in samples + ] + + # Run ALL samples concurrently + results = await asyncio.gather(*tasks) + return results + +async def run_single_sample(sample): + """Each sample runs independently.""" + messages = [sample.initial_prompt] + + for turn in range(MAX_TURNS): + # Generate (async, doesn't block other samples) + response = await policy.generate(messages) + + # If tool call + if has_tool_call(response): + # Execute tool (async, doesn't block other samples) + result = await env.execute_tool(response.tool_call) + messages.append({"role": "tool", "content": result}) + else: + break + + return messages +``` + +**Benefits:** + +``` +Sample 1: Gen → Tool → Gen → Done +Sample 2: Gen → Tool → Gen → Done +Sample 3: Gen → Done +Sample 4: Gen → Tool → Gen → Done + +All happening CONCURRENTLY! +Total time: ~Max(single sample) not Sum(all samples) +``` + +**vLLM Configuration:** + +```yaml +policy: + vllm_cfg: + async_engine: true # Enable async mode +``` + +**Key Takeaways:** + +✅ **Massive speedup** - 4-8x faster for multi-turn with tools +✅ **Simple to implement** - Just use async/await +✅ **vLLM handles queuing** - Engine manages multiple in-flight requests +✅ **Essential for production** - All modern RL systems use this + +--- + +## Part 5: Implementation Plan for Forge + +### High-Level Strategy + +We'll adapt the **BlackJack pattern** (proven with Forge) and extend it for tool calling: + +1. ✅ **Start simple** - Text-based tool call parsing (like BlackJack parses "HIT"/"STAND") +2. ✅ **Reuse BlackJack structure** - `play_game()` becomes `play_task()` +3. ✅ **Add tool execution** - Execute tools in environment (OpenEnv or custom) +4. ✅ **Track message history** - Build conversation context for each turn +5. ✅ **Add response masking** - Mark which tokens to train on +6. 🔄 **Upgrade to async** - Use async pattern for performance (optional initially) +7. 🔄 **Add native function calling** - Use vLLM's built-in support (optional later) + +--- + +### API Design + +**Core Function: `play_task()`** + +**📁 Inspired by:** +- BlackJack's `play_game()`: `OpenEnv/examples/grpo_blackjack/grpo_utils.py` +- Verifiers' `rollout()`: `verifiers/verifiers/envs/multiturn_env.py:55-149` + +**⚠️ NEW CODE** - This needs to be implemented + +```python +async def play_task( + task_id: str, + task_prompt: str, + tools: list[dict], # OpenAI tool schemas + env: ToolEnv, # Environment with tool execution + policy: Generator, # Forge Generator + tokenizer, + max_turns: int = 10, +) -> list[dict]: + """ + Play a complete multi-turn task with tool calling. + + Returns: + List of step results, each containing: + - turn: int + - messages: list[dict] (conversation history at this turn) + - prompt: str (tokenized prompt for this turn) + - response: Completion (model response) + - response_mask: list[int] (1 for LLM tokens, 0 for tool results) + - is_final: bool (is this the last turn?) + """ + messages = [ + {"role": "system", "content": format_system_prompt(tools)}, + {"role": "user", "content": task_prompt} + ] + + task_steps = [] + turn = 0 + done = False + + while not done and turn < max_turns: + # 1. Format prompt from message history + prompt = tokenizer.apply_chat_template( + messages, + tokenize=False, + add_generation_prompt=True + ) + + # 2. Generate response + response = await policy.generate(prompt) + + # 3. Parse response (tool call or message) + parsed = parse_response(response.text) + + # 4. Track tokens for masking + response_mask = [1] * len(response.token_ids) # All LLM tokens + + if parsed["type"] == "tool_call": + # Tool call detected + tool_name = parsed["name"] + tool_args = parsed["arguments"] + + # Add assistant message with tool call + messages.append({ + "role": "assistant", + "content": response.text, + "tool_call": {"name": tool_name, "arguments": tool_args} + }) + + # Execute tool in environment + tool_result = await env.execute_tool(tool_name, tool_args) + + # Add tool result to messages + tool_message = {"role": "tool", "content": str(tool_result)} + messages.append(tool_message) + + # Extend response with tool result tokens (masked out) + tool_tokens = tokenizer.encode(str(tool_result)) + response_mask.extend([0] * len(tool_tokens)) # Don't train on tool results + + else: + # Regular message + messages.append({ + "role": "assistant", + "content": response.text + }) + done = True # Episode ends when model doesn't call tools + + # 5. Store step data + task_steps.append({ + "turn": turn, + "messages": list(messages), # Copy current state + "prompt": prompt, + "response": response, + "response_mask": response_mask, + "is_final": done, + }) + + turn += 1 + + # 6. Get final reward from environment + final_reward = await env.calculate_reward(messages, task_id) + + # 7. Assign final reward to all steps + for step in task_steps: + step["final_reward"] = final_reward + + return task_steps +``` + +--- + +### Response Parsing Function + +**📁 Inspired by:** +- BlackJack's `parse_action()`: `OpenEnv/examples/grpo_blackjack/grpo_utils.py:205-229` +- Tinker's parsing: `tinker-cookbook/tinker_cookbook/renderers.py` (search for parse_response) + +**⚠️ NEW CODE** - This needs to be implemented + +```python +def parse_response(response_text: str) -> dict: + """ + Parse model response to detect tool calls. + + Supports two formats: + 1. Function call syntax: "create_task(user_id='user_1', title='Meeting')" + 2. JSON format: '{"name": "create_task", "arguments": {"user_id": "user_1", ...}}' + + Returns: + { + "type": "tool_call" or "message", + "name": str (if tool_call), + "arguments": dict (if tool_call), + "text": str + } + """ + text = response_text.strip() + + # Try parsing as function call: func_name(arg1=val1, arg2=val2) + func_pattern = r'(\w+)\((.*?)\)' + match = re.search(func_pattern, text) + + if match: + func_name = match.group(1) + args_str = match.group(2) + + # Parse arguments + # Simple version: "key='value', key2='value2'" + arguments = {} + for arg in args_str.split(','): + if '=' in arg: + key, value = arg.split('=', 1) + key = key.strip() + value = value.strip().strip('"\'') + arguments[key] = value + + return { + "type": "tool_call", + "name": func_name, + "arguments": arguments, + "text": text + } + + # Try parsing as JSON + if text.startswith('{'): + try: + parsed = json.loads(text) + if "name" in parsed and "arguments" in parsed: + return { + "type": "tool_call", + "name": parsed["name"], + "arguments": parsed["arguments"], + "text": text + } + except json.JSONDecodeError: + pass + + # Default: regular message + return { + "type": "message", + "text": text + } +``` + +**Example Usage:** + +```python +# Input 1: Function syntax +response = "create_task(user_id='user_1', title='Important Meeting')" +parsed = parse_response(response) +# Output: { +# "type": "tool_call", +# "name": "create_task", +# "arguments": {"user_id": "user_1", "title": "Important Meeting"} +# } + +# Input 2: JSON format +response = '{"name": "create_task", "arguments": {"user_id": "user_1", "title": "Meeting"}}' +parsed = parse_response(response) +# Output: same as above + +# Input 3: Regular message +response = "I've created the task for you!" +parsed = parse_response(response) +# Output: {"type": "message", "text": "I've created the task for you!"} +``` + +--- + +### System Prompt for Tool Calling + +**📁 Inspired by:** +- Tinker system prompts: `tinker-cookbook/tinker_cookbook/recipes/tool_use/search/train.py` (search for SYSTEM_PROMPT) +- Verifiers tool formatting: How it formats tools in prompts + +**⚠️ NEW CODE** - This needs to be implemented + +```python +def format_system_prompt(tools: list[dict]) -> str: + """Format system prompt with tool definitions.""" + + prompt = """You are a helpful assistant that can use tools to complete tasks. + +When you need to use a tool, call it using this format: +tool_name(argument1='value1', argument2='value2') + +Available tools: +""" + + # Add each tool + for tool in tools: + func = tool["function"] + prompt += f"\n{func['name']}(" + + # Add parameters + params = func["parameters"]["properties"] + required = func["parameters"].get("required", []) + + param_strs = [] + for param_name, param_info in params.items(): + param_str = param_name + if param_name in required: + param_str += " (required)" + param_strs.append(param_str) + + prompt += ", ".join(param_strs) + prompt += f")\n Description: {func['description']}\n" + + prompt += """ +Examples: +- To create a task: create_task(user_id='user_1', title='Important Meeting') +- To update status: update_task_status(task_id='task_2', status='completed') + +When you're done with the task, just respond with a regular message (no tool call). +""" + + return prompt +``` + +--- + +### Tool Environment (Simple Version) + +**📁 Inspired by:** +- Verifiers ToolEnv: `verifiers/verifiers/envs/tool_env.py:43-89` +- Tool schema conversion: `verifiers/verifiers/utils/tool_utils.py` (search for `convert_func_to_oai_tool`) + +**⚠️ NEW CODE** - Simplified version for prototyping + +```python +class SimpleToolEnv: + """Simple tool calling environment for training.""" + + def __init__(self, tools: list[Callable], reward_func: Callable): + """ + Args: + tools: List of Python functions to use as tools + reward_func: Function that calculates reward from conversation + """ + # Map function name to function + self.tool_map = {tool.__name__: tool for tool in tools} + + # Convert to OpenAI schemas + self.tool_schemas = [self._func_to_schema(tool) for tool in tools] + + self.reward_func = reward_func + + def _func_to_schema(self, func: Callable) -> dict: + """Convert Python function to OpenAI tool schema.""" + # Use inspect to get signature + sig = inspect.signature(func) + doc = inspect.getdoc(func) or "" + + params = {} + required = [] + + for param_name, param in sig.parameters.items(): + # Get type hint + param_type = param.annotation + if param_type == str: + params[param_name] = {"type": "string"} + elif param_type == int: + params[param_name] = {"type": "integer"} + # ... handle other types + + # Check if required + if param.default == inspect.Parameter.empty: + required.append(param_name) + + return { + "type": "function", + "function": { + "name": func.__name__, + "description": doc, + "parameters": { + "type": "object", + "properties": params, + "required": required + } + } + } + + async def execute_tool(self, tool_name: str, arguments: dict) -> str: + """Execute a tool and return the result.""" + if tool_name not in self.tool_map: + return f"Error: Unknown tool '{tool_name}'" + + try: + tool_func = self.tool_map[tool_name] + + # Execute the tool + if asyncio.iscoroutinefunction(tool_func): + result = await tool_func(**arguments) + else: + result = tool_func(**arguments) + + return str(result) + except Exception as e: + return f"Error executing {tool_name}: {str(e)}" + + async def calculate_reward(self, messages: list[dict], task_id: str) -> float: + """Calculate final reward for the episode.""" + return await self.reward_func(messages, task_id) +``` + +**Example Tools:** + +**📁 Inspired by:** Tau2 mock tools at `tau2-bench/src/tau2/domains/mock/tools.py` + +```python +# Define simple tools +def mock_create_task(user_id: str, title: str) -> str: + """Create a new task for a user.""" + task_id = f"task_{random.randint(1, 100)}" + return f"Created task '{title}' with ID {task_id}" + +def mock_update_status(task_id: str, status: str) -> str: + """Update task status.""" + return f"Task {task_id} status updated to {status}" + +# Reward function +async def simple_reward(messages: list[dict], task_id: str) -> float: + """Simple reward: 1.0 if task completed, 0.0 otherwise.""" + + # Check if create_task was called + created = any( + msg.get("tool_call", {}).get("name") == "mock_create_task" + for msg in messages if msg.get("role") == "assistant" + ) + + # Check if update_status was called + updated = any( + msg.get("tool_call", {}).get("name") == "mock_update_status" + for msg in messages if msg.get("role") == "assistant" + ) + + # Reward if both tools were called + return 1.0 if (created and updated) else 0.0 + +# Create environment +env = SimpleToolEnv( + tools=[mock_create_task, mock_update_status], + reward_func=simple_reward +) +``` + +--- + +### Updated Episode Structure + +**📁 Based on:** +- Current Episode: `OpenEnv/examples/grpo_blackjack/grpo_utils.py:47-60` +- Response mask pattern: See VERL/NeMo-RL examples in `4_examples_APIs.md` + +**⚠️ MODIFIED CODE** - Extends existing Episode with multi-turn fields + +```python +@dataclass +class Episode: + """Episode data for multi-turn tool calling RL training.""" + + episode_id: str + pad_id: int + request_len: int + response_len: int + + # Multi-turn specific + task_id: str # Which task this is from + turn_in_task: int # Which turn in the task (0, 1, 2, ...) + + # Standard fields + completion: Completion # Contains prompt_ids, token_ids, logprobs + ref_logprobs: torch.Tensor + reward: float + advantage: float + + # NEW: Response mask + response_mask: torch.Tensor | None = None # 1=train on, 0=ignore (tool results) + + @property + def masked_response_tensor(self) -> torch.Tensor: + """Get response tensor with padding.""" + response_tokens = torch.tensor(self.completion.token_ids, dtype=torch.long) + + # Pad to response_len + if response_tokens.shape[0] < self.response_len: + diff = self.response_len - response_tokens.shape[0] + response_tokens = F.pad(response_tokens, (0, diff), value=self.pad_id) + + return response_tokens + + @property + def mask_tensor(self) -> torch.Tensor: + """Get mask tensor with padding.""" + if self.response_mask is None: + # No mask, train on all tokens + mask = torch.ones(len(self.completion.token_ids), dtype=torch.long) + else: + mask = self.response_mask + + # Pad to response_len + if mask.shape[0] < self.response_len: + diff = self.response_len - mask.shape[0] + mask = F.pad(mask, (0, diff), value=0) # Padding is masked out + + return mask +``` + +--- + +### Integration with Forge GRPO + +**📁 Based on:** +- Current rollouts: `OpenEnv/examples/grpo_blackjack/grpo_utils.py` (search for `continuous_rollouts`) +- Main GRPO: `apps/grpo/main.py` + +**⚠️ MODIFIED CODE** - Extends existing continuous_rollouts for tool calling + +**Updated `continuous_rollouts`:** + +```python +async def continuous_rollouts( + policy: Generator, + replay_buffer: ReplayBuffer, + reward_actor: RewardActor, + ref_model: ReferenceModel, + env: SimpleToolEnv, + tokenizer, + group_size: int = 8, +): + """Continuous rollout loop with tool calling.""" + + while True: + # Sample tasks + tasks = sample_tasks(group_size) # Get G different tasks + + # Play all tasks + all_step_results = [] + for task in tasks: + task_id = task["id"] + task_prompt = task["prompt"] + + # Play the task (multi-turn) + step_results = await play_task( + task_id=task_id, + task_prompt=task_prompt, + tools=env.tool_schemas, + env=env, + policy=policy, + tokenizer=tokenizer, + max_turns=10 + ) + + all_step_results.extend(step_results) + + # Create episodes (one per turn) + episodes = [] + for step_result in all_step_results: + episode = Episode( + episode_id=str(uuid.uuid4()), + pad_id=tokenizer.pad_token_id, + request_len=MAX_REQUEST_TOKENS, + response_len=MAX_RESPONSE_TOKENS, + task_id=step_result["task_id"], + turn_in_task=step_result["turn"], + completion=step_result["response"], + response_mask=torch.tensor(step_result["response_mask"]), + ) + + # Simple reward (could add shaping) + episode.reward = step_result["final_reward"] + + episodes.append(episode) + + # Get reference logprobs + input_ids = [tokenizer.encode(ep.completion.prompt) for ep in episodes] + ref_logprobs = await ref_model.forward(input_ids, return_logprobs=True) + for i, episode in enumerate(episodes): + episode.ref_logprobs = ref_logprobs[i] + + # Compute advantages (group-relative) + # Group by task_id to compare different trajectories of same task + task_groups = {} + for episode in episodes: + if episode.task_id not in task_groups: + task_groups[episode.task_id] = [] + task_groups[episode.task_id].append(episode) + + for task_id, task_episodes in task_groups.items(): + rewards = [ep.reward for ep in task_episodes] + mean_reward = sum(rewards) / len(rewards) + + for episode in task_episodes: + episode.advantage = episode.reward - mean_reward + + # Add to replay buffer + for episode in episodes: + await replay_buffer.add(episode) +``` + +--- + +### Updated GRPO Loss (with masking) + +**📁 Based on:** +- Current GRPO loss: `OpenEnv/examples/grpo_blackjack/grpo_utils.py:125-150` (`simple_grpo_loss`) +- Response masking pattern: See VERL in `4_examples_APIs.md:599-615` + +**⚠️ MODIFIED CODE** - Adds response_mask parameter to existing loss + +```python +def grpo_loss_with_masking( + logits: torch.Tensor, + response: torch.Tensor, + response_mask: torch.Tensor, # NEW! + ref_logprobs: torch.Tensor, + advantages: torch.Tensor, + padding_mask: torch.Tensor, + beta: float = 0.1, +) -> torch.Tensor: + """ + GRPO loss with response masking for multi-turn. + + Args: + logits: Model logits [batch, seq_len, vocab_size] + response: Response tokens [batch, seq_len] + response_mask: Which tokens to train on [batch, seq_len] (1=train, 0=ignore) + ref_logprobs: Reference model log probabilities [batch, seq_len] + advantages: Normalized advantages [batch, 1] + padding_mask: Mask for padded tokens [batch, seq_len] + beta: KL penalty coefficient + + Returns: + Scalar loss value + """ + # Compute log probabilities + logprobs = compute_logprobs(logits, response) + + # KL divergence + kl = torch.exp(ref_logprobs - logprobs) - (ref_logprobs - logprobs) - 1 + + # Policy loss + policy_loss = -logprobs * advantages + + # Total loss per token + loss_per_token = policy_loss + beta * kl + + # IMPORTANT: Combine padding_mask AND response_mask + combined_mask = padding_mask * response_mask # Both must be 1 + + # Apply combined mask + masked_loss = loss_per_token * combined_mask + + # Average over non-masked tokens + loss = masked_loss.sum() / combined_mask.sum() + + return loss +``` + +**Key Difference:** `response_mask` zeros out tool result tokens, so we only train on LLM-generated tokens. + +--- + +## Part 6: Performance & Async Patterns + +### Why Async Matters for Tool Calling + +**Synchronous Problem:** + +```python +# BAD: Blocks entire batch while waiting for tools +for sample in batch: + response = policy.generate(sample.prompt) # Blocks others + if has_tool_call(response): + result = env.execute_tool(response.tool_call) # Blocks others! + ... +``` + +**With async:** + +```python +# GOOD: All samples run independently +async def process_sample(sample): + response = await policy.generate(sample.prompt) # Doesn't block + if has_tool_call(response): + result = await env.execute_tool(response.tool_call) # Doesn't block! + ... + +# Run all samples concurrently +results = await asyncio.gather(*[process_sample(s) for s in batch]) +``` + +**Speedup Example:** + +``` +Synchronous (4 samples, each takes 10s): +Sample 1 → 10s → Sample 2 → 10s → Sample 3 → 10s → Sample 4 → 10s +Total: 40 seconds + +Asynchronous (all 4 samples in parallel): +Sample 1 ┐ +Sample 2 ├ All run together → 10s +Sample 3 ┤ +Sample 4 ┘ +Total: ~10 seconds (4x speedup!) +``` + +--- + +### Enabling Async in Forge Generator + +**Step 1: Enable vLLM async engine** + +**📁 Code Reference:** +- Generator setup: `src/forge/actors/generator.py:71-99` +- NeMo-RL async config: See `4_examples_APIs.md:680-689` + +```python +# In your config +engine_args = EngineArgs( + model="meta-llama/Llama-3.1-8B-Instruct", + # ... other args +) + +# When creating Generator +generator = await Generator.options( + procs=1, + num_replicas=1, + with_gpus=True +).as_service( + engine_args=engine_args, + sampling_params=SamplingParams(temperature=0.7, max_tokens=512), +) +``` + +**Note:** Forge's Generator already supports async! You just need to use `await` when calling it. + +--- + +**Step 2: Make `play_task` async** + +```python +async def play_task(task_id, task_prompt, tools, env, policy, tokenizer, max_turns=10): + """Already async in our implementation above!""" + messages = [{"role": "user", "content": task_prompt}] + + for turn in range(max_turns): + # Async generation + response = await policy.generate(prompt) # await here! + + # Async tool execution + if has_tool_call(parsed): + result = await env.execute_tool(...) # await here! + ... +``` + +--- + +**Step 3: Run multiple tasks concurrently** + +**📁 Code Reference:** See NeMo-RL pattern in `4_examples_APIs.md:719-735` (`run_async_multi_turn_rollout`) + +```python +async def continuous_rollouts(...): + while True: + # Sample G tasks + tasks = sample_tasks(group_size) + + # Create tasks for all + task_coroutines = [ + play_task( + task_id=task["id"], + task_prompt=task["prompt"], + tools=env.tool_schemas, + env=env, + policy=policy, + tokenizer=tokenizer, + ) + for task in tasks + ] + + # Run ALL tasks concurrently + all_step_results_per_task = await asyncio.gather(*task_coroutines) + + # Flatten results + all_step_results = [] + for step_results in all_step_results_per_task: + all_step_results.extend(step_results) + + # Continue with episode creation... +``` + +--- + +### Performance Best Practices + +**1. Use async/await everywhere** + +**📁 Code Reference:** NeMo-RL async patterns in `4_examples_APIs.md:803-830` + +```python +# BAD +def execute_tool(self, tool_name, args): + return tool_func(**args) # Blocks + +# GOOD +async def execute_tool(self, tool_name, args): + if asyncio.iscoroutinefunction(tool_func): + return await tool_func(**args) + else: + # Run sync function in executor to avoid blocking + loop = asyncio.get_event_loop() + return await loop.run_in_executor(None, tool_func, **args) +``` + +--- + +**2. Batch reference model calls** + +```python +# BAD: One call per episode +for episode in episodes: + ref_logprobs = await ref_model.forward(episode.prompt) + episode.ref_logprobs = ref_logprobs + +# GOOD: Batch all episodes +all_prompts = [ep.completion.prompt for ep in episodes] +all_ref_logprobs = await ref_model.forward(all_prompts) # Single batched call +for episode, ref_logprobs in zip(episodes, all_ref_logprobs): + episode.ref_logprobs = ref_logprobs +``` + +--- + +**3. Pipeline rollouts and training** + +```python +# BAD: Wait for all rollouts before training +rollouts = await collect_rollouts() +await train_on_rollouts(rollouts) + +# GOOD: Start training as soon as buffer has enough samples +async def rollout_loop(): + while True: + rollouts = await collect_rollouts() + await replay_buffer.add(rollouts) + +async def training_loop(): + while True: + if replay_buffer.size() >= min_size: + batch = await replay_buffer.sample() + await trainer.train_step(batch) + await asyncio.sleep(0.1) + +# Run both concurrently +await asyncio.gather(rollout_loop(), training_loop()) +``` + +--- + +## Part 7: What's Already Supported vs What Needs to Be Added + +### Already Supported in Forge ✅ + +**1. vLLM Async Generation** +- ✅ Forge Generator already uses vLLM v1 +- ✅ Async generation works out of the box +- ✅ `await policy.generate(prompt)` is already async + +**2. Multi-GPU and Distributed Training** +- ✅ Monarch handles distributed coordination +- ✅ Generator, Trainer, ReplayBuffer can run on different GPUs +- ✅ Weight syncing via torchstore + +**3. GRPO Algorithm** +- ✅ Group-relative advantages +- ✅ KL penalty with reference model +- ✅ Replay buffer with sampling +- ✅ Async training loop + +**4. Episode Management** +- ✅ Episode dataclass structure +- ✅ Collation for batching +- ✅ Tokenization and padding + +**5. OpenEnv Integration** +- ✅ BlackJack example shows it works! +- ✅ HTTP-based environment communication +- ✅ Async environment calls (with wrapper) + +--- + +### What Needs to Be Added ⚠️ + +**1. Response Parsing for Tool Calls** + +**What:** Function to detect and parse tool calls from model output + +**Complexity:** Low (see Part 5 for implementation) + +**Example:** +```python +def parse_response(response_text: str) -> dict: + # Detect: create_task(user_id='user_1', title='Meeting') + # Return: {"type": "tool_call", "name": "create_task", "arguments": {...}} +``` + +**Status:** ❌ Not implemented +**Effort:** ~1-2 hours +**File:** Can be in `grpo_utils.py` or new `tool_calling_utils.py` + +--- + +**2. Multi-turn Rollout Loop** + +**What:** `play_task()` function (like `play_game()` in BlackJack) + +**Complexity:** Medium + +**Status:** ❌ Not implemented (but BlackJack provides template!) +**Effort:** ~4-6 hours +**File:** `grpo_utils.py` or new `tool_calling_rollouts.py` + +**Implementation:** See Part 5, "API Design" section + +--- + +**3. Tool Environment** + +**What:** Environment that executes tools and returns results + +**Complexity:** Medium-High (depends on tools) + +**Options:** + +**Option A:** Use existing OpenEnv environment +- ✅ Already has Docker sandboxing +- ❌ May not have tool calling support yet +- **Effort:** Check if OpenEnv has tool env, otherwise 8-12 hours to build + +**Option B:** Build simple mock environment +- ✅ Easiest to get started +- ❌ Not realistic for production +- **Effort:** 2-4 hours +- **Implementation:** See Part 5, "Tool Environment (Simple Version)" + +**Option C:** Integrate Verifiers ToolEnv +- ✅ Production-ready, clean API +- ✅ Tool schema generation built-in +- ❌ Another dependency +- **Effort:** 4-6 hours integration + +**Recommendation:** Start with Option B (mock), upgrade to Option C (Verifiers) later + +**Status:** ❌ Not implemented +**File:** `tool_env.py` + +--- + +**4. Response Masking** + +**What:** Track which tokens are LLM output vs tool results + +**Complexity:** Medium + +**Status:** ❌ Not implemented +**Effort:** 3-4 hours + +**What needs to change:** +1. Add `response_mask` field to Episode dataclass (✅ shown in Part 5) +2. Track mask during rollout (✅ shown in Part 5) +3. Update GRPO loss to use mask (✅ shown in Part 5) + +**Files to modify:** +- `Episode` dataclass +- `play_task()` function +- `grpo_loss()` function + +--- + +**5. Tool Schema Generation** + +**What:** Convert Python functions to OpenAI tool schemas + +**Complexity:** Medium + +**Status:** ❌ Not implemented (but can copy from Verifiers!) +**Effort:** 2-3 hours + +**Implementation:** +```python +def func_to_schema(func: Callable) -> dict: + # Use inspect.signature, inspect.getdoc + # Return OpenAI tool schema +``` + +**Recommendation:** Copy from Verifiers library (it's well-tested) + +--- + +**6. System Prompt Formatting** + +**What:** Format system prompt with tool definitions + +**Complexity:** Low + +**Status:** ❌ Not implemented +**Effort:** 1-2 hours + +**Implementation:** See Part 5, "System Prompt for Tool Calling" + +--- + +**7. vLLM Native Tool Calling Support (Optional)** + +**What:** Use vLLM's built-in function calling instead of text parsing + +**Complexity:** Medium-High + +**Status:** ❌ Not implemented (not needed initially!) +**Effort:** 6-8 hours + +**vLLM Config:** +```python +engine_args = EngineArgs( + model="...", + enable_auto_tool_choice=True, # Enable native tool calling + tool_call_parser="hermes", # Parser type +) +``` + +**Recommendation:** Skip initially, use text parsing. Add later if needed. + +--- + +**8. Tau2 Evaluation Integration** + +**What:** Run trained model on Tau2Bench for evaluation + +**Complexity:** Medium + +**Status:** ❌ Not implemented +**Effort:** 4-6 hours + +**Two approaches:** + +**Approach A:** Use Tau2 CLI +```bash +tau2 run --domain mock --agent-llm /path/to/checkpoint +``` +Need to figure out how to point Tau2 to local model. + +**Approach B:** Use Tau2's gym interface programmatically +```python +import gymnasium as gym +from tau2.gym import register_gym_agent + +env = gym.make("Tau-v0", domain="mock") +# Run evaluation loop +``` + +**Recommendation:** Start with Approach A (simpler) + +--- + +### Summary: Implementation Checklist + +**Phase 1: Minimum Viable Tool Calling (1-2 days)** + +- [ ] 1. Implement `parse_response()` function (1-2 hours) +- [ ] 2. Implement `SimpleToolEnv` with mock tools (2-4 hours) +- [ ] 3. Implement `play_task()` function (4-6 hours) +- [ ] 4. Test end-to-end on simple task (2-3 hours) + +**Phase 2: Integration with Forge GRPO (2-3 days)** + +- [ ] 5. Add `response_mask` to Episode (1 hour) +- [ ] 6. Update `continuous_rollouts` to use `play_task()` (2-3 hours) +- [ ] 7. Update GRPO loss with masking (2-3 hours) +- [ ] 8. Test training loop (4-6 hours) + +**Phase 3: Production-Ready (3-5 days)** + +- [ ] 9. Implement proper tool schema generation (2-3 hours) +- [ ] 10. Add system prompt formatting (1-2 hours) +- [ ] 11. Integrate Verifiers ToolEnv or build OpenEnv tool env (8-12 hours) +- [ ] 12. Add comprehensive logging and metrics (4-6 hours) + +**Phase 4: Evaluation (1-2 days)** + +- [ ] 13. Figure out Tau2 local model evaluation (2-4 hours) +- [ ] 14. Create evaluation script (2-3 hours) +- [ ] 15. Run full evaluation on Tau2 mock domain (2-4 hours) + +**Total Estimated Effort:** 2-3 weeks for full implementation + +--- + +## Appendix: Quick Reference + +### Key Files to Create/Modify + +**New Files:** +- `tool_calling_utils.py` - Response parsing, tool schemas +- `tool_env.py` - Tool execution environment +- `tool_calling_rollouts.py` - `play_task()` implementation + +**Files to Modify:** +- `apps/grpo/main.py` - Update `continuous_rollouts` +- `grpo_utils.py` - Add response masking to Episode, update loss + +--- + +### Key Concepts Recap + +1. **Tool Calling** = Model invokes functions instead of just generating text +2. **Multi-turn** = Multiple back-and-forth exchanges in one episode +3. **Response Mask** = Track which tokens to train on (LLM) vs ignore (tools) +4. **Sparse Reward** = Reward only at episode end, not per turn +5. **Async Pattern** = Use async/await for concurrent sample processing + +--- + +### Next Steps + +1. **Start with BlackJack** - Understand how it works end-to-end +2. **Build Simple Mock Environment** - 2-3 tools, simple reward +3. **Prototype `play_task()`** - Single task, multi-turn, with tools +4. **Test Locally** - Run one episode, verify it works +5. **Integrate with GRPO** - Add to training loop +6. **Scale Up** - Add more tools, better reward functions +7. **Evaluate on Tau2** - Measure performance on benchmark + +--- + +### Questions to Answer Next + +1. **Which tool environment?** Mock, OpenEnv, or Verifiers? +2. **Text parsing or native function calling?** Start text, upgrade later? +3. **Reward function design?** Binary, shaped, or LLM-as-judge? +4. **Training tools = Tau2 tools?** Or different for generalization? + +See `3_open_questions.md` for detailed discussion of these questions. + +--- + +**End of Tutorial** + +You should now have a solid understanding of: +- What tool calling and multi-turn are +- How Tau2Bench works +- How Forge currently operates +- How other libraries implement these features +- What needs to be added to Forge +- How to implement it step by step + +Ready to start coding! 🚀 diff --git a/brainstorming_forge_tau/6_refactor_structure_for_doc_5.md b/brainstorming_forge_tau/6_refactor_structure_for_doc_5.md new file mode 100644 index 000000000..5766c68f9 --- /dev/null +++ b/brainstorming_forge_tau/6_refactor_structure_for_doc_5.md @@ -0,0 +1,1029 @@ +# Document 6: Tutorial Refactor Structure and Key Insights + +## Purpose +This document outlines the complete structure for refactoring `5_tutorial_multiturn_toolcalling.md` based on feedback. It includes: +1. Final section structure +2. Key insights and decisions from the discussion +3. Implementation notes for each section +4. Open questions to resolve during implementation + +--- + +## Section Structure + +### **Part 1: Tau2Bench Deep Dive (What Are We Building For?)** + +#### 1.1 What is Tau2Bench? +- **Changes**: Replace bullet points with concrete examples +- **Add**: Brief, tangible examples of what Tau2Bench tests +- **Keep it short**: 2-3 paragraphs max + +#### 1.2 Tau2 Modes +- **MOVED TO START** (was at end of section) +- Normal Mode (Agent + User Simulator) +- Solo Mode (Agent Only) +- **Add**: Which mode to use for training (recommendation: Solo) +- **Add**: Reference to leaderboard showing both modes + +#### 1.3 Tau2 Task Structure +- **Add**: What `transfer_to_human_agents` is for (comment that it signals end of turn) +- Keep existing JSON example + +#### 1.4 Tau2 Available Tools (Mock Domain) +- Keep existing + +#### 1.5 Example Multi-turn Interaction on Tau2 +- **Add**: Reference/note about stop keywords ("bye", "thanks") +- **Action**: Verify if this is actually in tau2bench or invented + +#### 1.6 How Tau2 Scores Episodes +- Keep existing structure +- ACTION, ENV, NL_ASSERTIONS criteria +- Final score computation + +--- + +### **Part 2: The Fundamentals** + +#### 2.1 What is Tool Calling? +- Keep existing simple example + +#### 2.2 Two Approaches to Tool Calling + +##### Approach 1: Native Function Calling (vLLM, OpenAI) +- **MAJOR ENHANCEMENT NEEDED** +- **Add**: Detailed explanation of how models output structured tool calls +- **Add**: What the model ACTUALLY outputs (token IDs that decode to special format) +- **Add**: Model-dependent nature - Qwen vs GPT vs Hermes have different formats +- **Add**: Who parses it (tokenizer/model vs vLLM vs library) +- **Add**: Example of raw model output and how it gets into `response.tool_calls` +- **Key insight**: This is MODEL-SPECIFIC and requires training/fine-tuning + +##### Approach 2: Text-Based Parsing (Tag-Based) +- **Add**: How Qwen does it with tags and parser (concrete example) +- **Add**: Mention this is approach 2 explicitly +- **Add**: Show actual parser code snippet +- **Note**: Still model-dependent (needs to be trained to output tags) + +#### 2.3 What is Multi-turn? +- Keep existing + +#### 2.4 Multi-turn Loop: A Simple Python Example +- **NEW SECTION** +- **Add**: Simple while loop showing the concept +```python +env = create_env() +messages = [] +done = False +while not done: + prompt = build_prompt(messages) + response = model.generate(prompt) + if has_tool_call(response): + tool_result = env.execute_tool(parse_tool_call(response)) + messages.append({"role": "tool", "content": tool_result}) + else: + messages.append({"role": "assistant", "content": response}) + done = True +reward = env.get_reward() +``` +- **Add**: Introduce environment concept here + +#### 2.5 What is an Environment? +- **NEW SECTION** +- **Add**: Why we need it (tool execution, state management, rewards) +- **Add**: What `.reset()` returns +- **Add**: What `.step()` returns +- **Add**: Relationship to tool execution + +#### 2.6 Message Format (OpenAI Standard) +- Keep existing + +--- + +### **Part 3: How Forge Currently Works** + +#### 3.1 Current Forge GRPO Flow (GSM8K Example) +- Keep existing + +#### 3.2 What Forge is Missing for Tool Calling +- Keep existing + +--- + +### **Part 4: Complete Multi-Turn Tool Calling Loop (Components)** + +#### 4.0 Generator Options: Internal vs External vLLM +- **NEW SECTION** +- **Option A**: Forge Generator (internal vLLM)  Recommended + - vLLM engine runs inside Forge as distributed actor + - Allocated to its own GPUs via Monarch + - Communication via async actor calls (not HTTP) + - What Forge currently does +- **Option B**: External vLLM Server (separate process) + - vLLM runs as independent HTTP server + - TRL's pattern: blocking HTTP requests to `localhost:8000/generate` + - Separate from training process + - Useful for debugging, exploration, separation of concerns +- **Option C**: Hybrid approach + - Use external for debugging + - Use internal for training +- **Note**: All examples will use Option A (Forge Generator), but Option B is valid for certain use cases +- **Add**: How to adapt patterns if using Option B (brief notes in each pattern) + +#### 4.1 Overview: The Complete Loop +- Keep existing conceptual code +- Ensure it references all 8 components below + +#### 4.2 Component 1: Episode Initialization +- **Add**: Code snippet for each option +- Options: env.reset() vs build from task +- Brief pros/cons + +#### 4.3 Component 2: Prompt Formatting with Tools +- **Option A**: Manual chat template (pattern from various libraries) +- **Option B**: Renderer pattern (Tinker) P **HIGHLIGHT TINKER'S APPROACH** + - Clean abstraction separating rendering from logic + - Reusable across tasks + - Easy to debug and test + - Show Tinker's Renderer class structure +- **Option C**: vLLM native tokenizer with tools param (Verifiers) +- **Add**: Code snippet for each +- **Add**: When to use each +- **Recommendation**: Consider Tinker's pattern for clean code + +#### 4.4 Component 3: Generation, Parsing, and Concurrency +- **MERGED** from old 4.4 + 4.10 +- **Subsections**: + - Calling the Generator (sync vs async) + - Forge Generator async API + - External vLLM HTTP API + - Parsing Tool Calls + - Text parsing (regex) + - Tag-based (Qwen with example) + - Native (vLLM auto-parsing) + - **vLLM Configuration Flags (ALL IN ONE PLACE)** + - `enable_auto_tool_choice: true` - enables native tool call parsing + - `tool_call_parser: "hermes"` - specifies parser format (hermes/mistral/llama) + - `async_engine: true` - enables AsyncLLM engine + - Where these go in config + - **Note**: Different for Option A (Forge config) vs Option B (vLLM server config) + - **Add**: Clarify `response.choices[0]` - why [0]? (Can request N samples, we take first) + - **Add**: Clarify `message.tool_calls` - who parsed it and put it there? (vLLM if native, or manual parsing) + - **Sample-Level Concurrency** + - asyncio.gather for parallel samples + - NeMo-RL per-sample async tasks pattern + - Performance implications + +#### 4.5 Component 4: Tool Execution +- Tool definition approaches + - Type-hinted Python functions (Verifiers, clean and simple) + - **Tinker's approach** P (show example) + - Manual schemas + - Environment actions (OpenEnv) +- Execution patterns + - Sequential vs Parallel (asyncio.gather) + - **Add**: Why parallel execution matters (or doesn't) + - Parallel good for: I/O-bound tools (API calls, database queries) + - Sequential OK for: Fast tools, debugging, simple cases +- Code examples + +#### 4.6 Component 5: Message History Management +- Explicit list pattern + - **Highlight Tinker's approach** P + - Clean, easy to debug + - Messages are first-class objects + - Easy to serialize/deserialize + - Used by: Tinker, VERL, Verifiers +- Concatenated storage (TRL, NeMo-RL) +- Token ID storage in messages (NeMo-RL approach) +- Pros/Cons comparison table + +#### 4.7 Component 6: Token Collection, Episode Storage, and Response Masking +- **MERGED** from old 4.7 + 4.8 +- **Subsections**: + - **Why Masking Matters** (MOVED HERE - general explanation, NOT pattern-specific) + - Don't train on tool results (not model-generated) + - Don't train on environment responses + - Only train on LLM-generated tokens + - Token Collection Strategies + - **Strategy A**: Per-step episodes (simpler, per-step credit assignment) + - **Strategy B**: Concatenated episodes (full trajectory in one sequence) + - Building the Response Mask + - During rollout (VERL, NeMo-RL examples) + - During processing (Verifiers, **Tinker** P) + - **Highlight Tinker's trajectorydata conversion** P + - Clean separation of rollout and data processing + - Mask built during data processing phase + - Reusable across different RL algorithms + - Episode Storage Patterns + +#### 4.8 Component 7: Reward Computation +- Sparse rewards (Tau2Bench, most RL benchmarks) +- Dense rewards (per-step shaping) +- Multiple reward signals (TRL pattern with multiple reward functions) + +#### 4.9 Component 8: Environment Integration +- **BRIEF comparison**: OpenEnv vs ToolEnv (small table only, 1-2 paragraphs max) +- **Note**: Core functions stay env-agnostic (env injected at app level) +- When to use each +- **Highlight**: Tinker's Environment API P + - Clean step/reset pattern + - Observation/Action abstraction + - StepResult structure + +--- + +### **Part 5: Architectural Patterns for Forge + Tau2Bench + OpenEnv** + +**CRITICAL NOTE**: All patterns use Forge stack: +- **Forge Generator** (internal vLLM via Monarch actors) - NOT external HTTP server (unless noted) +- **OpenEnv** for tool execution +- **Tau2Bench** for tasks/evaluation +- **vLLM** engine (internal to Forge Generator) + +**Pattern philosophy**: Show different ways to structure the LOOP in Forge, adapted from production libraries but compatible with Forge stack. + +**Note on external vLLM**: While examples use Forge Generator (Option A: internal vLLM), you can adapt them to use external vLLM server (Option B from Part 4.0) if needed for debugging or other use cases. + +#### 5.1 Pattern A: Simple Sequential + Token Concatenation (TRL-inspired) +- **Summary** (2 paragraphs) + - What it is: All turns concatenated into one sequence, trained as single episode + - When to use: Simplest implementation, good for prototyping, proven pattern +- **YAML Configuration Example** +- **Complete Code Walkthrough** (using Forge Generator, not external server) + - Show how TRL's `rollout_func` pattern can be adapted + - Token concatenation trick + - Episode creation +- **Adaptation Note**: How to use external vLLM server instead (brief) + - Replace Forge Generator calls with HTTP requests + - Same logic, different communication +- **Key Insights** + +#### 5.2 Pattern B: Clean Abstractions with Renderer (Tinker-inspired) P +- **Summary** + - What it is: Use Renderer pattern for prompt formatting, clean Environment API, trajectory processing + - **Highlight**: Tinker's clean API design philosophy + - When to use: Research projects, need reusability, want clean maintainable code +- **YAML Configuration Example** +- **Complete Code Walkthrough** + - **Renderer pattern** from Tinker + - `build_generation_prompt()` method + - `parse_response()` method + - Separation of concerns + - **Environment.step() API** from Tinker + - StepResult structure + - episode_done flag + - next_observation + - **Trajectory processing** from Tinker + - Trajectory dataclass + - Conversion to training data + - Response masking implementation +- **Key Insights** +- **Why this pattern**: Emphasize Tinker's design philosophy + - Modularity + - Testability + - Reusability + - Clean abstractions + +#### 5.3 Pattern C: State Machine + Async Parallel Tools (VERL-inspired) +- **Summary** + - What it is: Explicit state machine (PENDING GENERATING PROCESSING_TOOLS ...), parallel tool execution + - When to use: Complex tool workflows, need explicit state management +- **YAML Configuration Example** +- **Complete Code Walkthrough** (adapted for Forge + vLLM) + - State machine handlers + - Async parallel tool execution with asyncio.gather + - Skip SGLang-specific parts + - Adapt to use Forge Generator +- **Key Insights** +- **When to use**: Production systems with complex multi-step tool interactions + +#### 5.4 Pattern D: Async Sample-Level Pipelining (NeMo-RL inspired) +- **Summary** + - What it is: Each sample runs as independent async task, while one waits for tool, others continue generating + - When to use: Production system, maximum throughput, have variable-length episodes +- **YAML Configuration Example** + - Note: `async_engine: true` may not apply directly to Forge Generator + - Show Forge-specific async configuration if different +- **Complete Code Walkthrough** + - Per-sample async tasks with asyncio.gather + - Async tool execution that doesn't block other samples + - Using Forge Generator's async API +- **Why this pipelining matters** + - **Add**: Downsides/considerations (memory usage, complexity, debugging harder) + - **Add**: Source of 4-8x speedup numbers (cite NeMo-RL docs/code if available, or explain estimation) + - **Add**: How to control memory/batch size + - vLLM's `max_num_seqs` parameter + - GPU memory constraints + - Trade-offs between throughput and latency +- **Key Insights** +- **When to use**: Production scale, have tool execution latency, variable episode lengths + +#### 5.5 Pattern E: Native Tool Calling (Verifiers/PRIME-RL inspired) +- **Summary** + - What it is: Use vLLM's native tool calling support, clean tool definition with type hints + - When to use: Model supports native tool calling, want production-ready abstractions +- **YAML Configuration Example** + - `enable_auto_tool_choice: true` + - `tool_call_parser: "hermes"` (or appropriate for your model) +- **Complete Code Walkthrough** + - Clean tool definition (type-hinted Python functions) + - Automatic schema generation + - env.rollout pattern + - process_env_results for masking + - Using Forge Generator with these flags +- **Key Insights** +- **When to use**: + - Model is trained for native tool calling (e.g., fine-tuned with tool calling data) + - Want to avoid manual parsing + - Production system with well-defined tools + +**IMPLEMENTATION NOTE**: We have 5 patterns because: +1. **TRL's token concatenation** is fundamentally different (simplest approach) +2. **Tinker's renderer pattern** deserves dedicated coverage P (clean architecture) +3. **VERL's state machine** is a distinct approach (explicit state management) +4. **NeMo-RL's async pipelining** is unique (maximum performance) +5. **Verifiers' native tool calling** is production-ready (leverages vLLM features) + +--- + +### **Part 6: Implementation Plan for Forge** + +#### 6.1 High-Level Strategy +- Keep existing +- Start simple (Pattern A), add complexity as needed +- Focus on Tau2Bench compatibility + +#### 6.2 Overall System Context +- **Add**: YAML configuration example for full system + - Generator config + - Trainer config + - Replay buffer config + - Task sampling config +- **Add**: General rollout loop showing where play_task is called + - continuous_rollouts function structure + - Where multi-turn loop fits in +- **Add**: Code organization philosophy + - **Core** (reusable utilities): + - `forge/data/message_utils.py` - message formatting, parsing + - `forge/environments/tool_env.py` - tool execution wrapper + - `forge/utils/masking.py` - response mask utilities + - **Tau2Bench-specific** (examples): + - `examples/tau2bench/grpo/main.py` - main training script + - `examples/tau2bench/grpo/tau2_env.py` - Tau2Bench environment adapter + - `examples/tau2bench/grpo/tau2_utils.py` - Tau2-specific utilities +- **Add**: Decision framework for each function: Core vs Tau2Bench-specific? + - **Questions to ask**: + - Is this reusable across different tasks/benchmarks? + - Is this specific to Tau2Bench format/API? + - Would other users find this useful? + - Is this domain logic or infrastructure? + +#### 6.3 Core Components Implementation + +##### play_task() - The Multi-turn Loop +- **Function signature** +- **Complete implementation** + - **Use OpenEnv** instead of SimpleToolEnv (match production setup) + - Message history management + - Tool call detection and execution + - Episode termination logic + - Response masking +- **Discussion**: Core vs Tau2Bench-specific? + - **Recommendation**: **Core utility** (reusable) + - Can be parameterized for different environments + - Generic multi-turn logic + - Place in: `forge/rollouts/multiturn.py` + +##### parse_response() - Tool Call Detection +- **Function signature** +- **Implementation options** + - Text parsing (regex) + - Tag-based (model-specific) + - Native (vLLM pre-parsed) +- **Discussion**: Core vs Tau2Bench-specific? + - **Recommendation**: **Core utility** (reusable) + - Generic response parsing + - Place in: `forge/utils/parsing.py` + +##### format_system_prompt() - Prompt with Tools +- **Function signature** +- **Implementation** + - Tool schema formatting + - System instructions + - Few-shot examples (optional) +- **Discussion**: Core vs Tau2Bench-specific? + - **Recommendation**: **Hybrid** + - Core template builder: `forge/utils/prompts.py` + - Task-specific templates: `examples/tau2bench/grpo/prompts.py` + - Consider: May have core utility + task-specific variants + +##### OpenEnv Integration for Tau2Bench +- **NEW**: How to set up OpenEnv for Tau2Bench tasks + - Creating OpenEnv Docker container with Tau2Bench tools + - Environment configuration + - Tool registration +- **NEW**: Tool execution via OpenEnv + - Calling env.step() with tool actions + - Parsing tool results + - Error handling +- **NEW**: Reward computation + - Sparse rewards from Tau2Bench evaluation + - How to get final reward + - Assigning reward to episode +- **Classification**: **Tau2Bench-specific** (in `examples/tau2bench/`) + +#### 6.4 Episode Structure for Multi-turn +- **Update existing Episode dataclass** +- **Add**: response_mask field + ```python + @dataclass + class Episode: + # ... existing fields + response_mask: torch.Tensor | None = None # 1=train, 0=ignore + ``` +- **Add**: Helper methods + - `mask_tensor()` - get padded mask + - `masked_response_tensor()` - get masked response + +#### 6.5 Integration with Forge GRPO +- **Update**: continuous_rollouts function + - Call play_task instead of single generate + - Handle multi-turn episodes + - Collect all turns +- **Episode creation** from multi-turn tasks + - Per-step episodes (Strategy A) vs concatenated (Strategy B) + - Which to choose? +- **Advantages computation** + - Group-relative normalization + - Across full episodes or per-step? + +#### 6.6 GRPO Loss with Response Masking +- **Reference existing Forge implementations**: + - `/home/felipemello/forge/src/forge/losses/reinforce_loss.py` + - Already has `target_mask` parameter + - Shows how to apply mask to loss + - `/home/felipemello/forge/apps/grpo/main.py` + - Has GRPO loss using `compute_logprobs` + - Uses `F.cross_entropy` for memory efficiency +- **Show how to add response_mask parameter** + ```python + def grpo_loss_with_masking( + logits: torch.Tensor, + response: torch.Tensor, + response_mask: torch.Tensor, # NEW! + ref_logprobs: torch.Tensor, + advantages: torch.Tensor, + padding_mask: torch.Tensor, + beta: float = 0.1, + ) -> torch.Tensor: + # Compute logprobs using F.cross_entropy (memory efficient) + logprobs = compute_logprobs(logits, response) + + # Combine padding_mask AND response_mask + combined_mask = padding_mask * response_mask + + # Apply mask in loss computation + # ... rest of GRPO loss + ``` +- **Focus**: `target_mask` / `response_mask` is the key addition +- **Note**: Loss details not critical for this tutorial + - F.cross_entropy is memory-efficient + - Full implementation in existing Forge code + - Just need to add the mask parameter + +#### 6.7 Enabling Async in Forge (Performance) +- **MOVED** from old Part 7 +- **vLLM async engine setup** + - Question: Does Forge Generator support `async_engine: true`? + - Or is async handled via Monarch actors differently? + - Document current Forge async mechanism +- **Making play_task async** + - Already async in implementation + - Use `await` for generator calls + - Use `await` for env.step() +- **Running multiple tasks concurrently** + - asyncio.gather pattern for parallel samples + - Parallel episode processing + - Example code +- **Performance best practices**: + - **Parallel episode processing** + - Don't wait for rewards sequentially + - Use asyncio.gather for reward computation + - **Batching reference model calls** + - Collect all episodes first + - Batch forward pass + - Huge speedup + - **Pipeline rollouts and training** + - Decouple via replay buffer + - Rollout threads and training thread + - Already in Forge! + +--- + +### **Part 7: Evaluating Your Trained Model on Tau2Bench** + +**NEW PART** - addresses original question #1: "Once we have a trained model, how do I run taubench?" + +#### 7.1 Running Tau2Bench Evaluation +- **Using tau2 CLI command** + ```bash + tau2 run --domain mock --agent-llm --mode solo + ``` +- **How to point to your trained model** + - Option 1: HuggingFace checkpoint path + - Option 2: Local checkpoint directory + - Option 3: Using Forge saved checkpoints +- **Configuration options** + - `--domain`: Which domain to evaluate (mock, airline, retail, telecom) + - `--mode`: solo or normal + - `--task-split`: train, test, base + - Other flags + +#### 7.2 Programmatic Evaluation (Gym Interface) +- **Using tau2 gym environment** + ```python + import gymnasium as gym + from tau2.gym import register_gym_agent, TAU_BENCH_ENV_ID + + register_gym_agent() + env = gym.make(TAU_BENCH_ENV_ID, domain="mock", task_id="create_task_1") + + # Your evaluation loop + ``` +- **Running evaluation loop** + - Load your trained model + - Reset environment + - Generate responses + - Step environment + - Collect final reward +- **Collecting metrics** + - Per-task scores + - Aggregate metrics + - Saving results + +#### 7.3 Interpreting Results +- **Understanding tau2bench scores** + - ACTION score (did agent call right tools?) + - ENV score (is environment state correct?) + - NL_ASSERTIONS score (did agent communicate well?) + - Final reward (product of all scores) +- **Debugging failed episodes** + - Inspect conversation history + - Check tool calls vs expected + - Verify environment state + - Common failure modes +- **Common issues and fixes** + - Agent doesn't call tools prompt engineering, more training + - Wrong tool arguments better parsing, more examples + - Environment state wrong check tool execution logic + - Communication issues improve model's response generation + +--- + +### **Part 8: Implementation Roadmap** + +#### 8.1 Already Supported in Forge  +- vLLM v1 Engine (Generator) +- Async generation +- Distributed training (Monarch) +- GRPO algorithm +- Replay buffer +- Reference model +- Multi-GPU support +- Episode management + +#### 8.2 What Needs to Be Added  +Keep existing with effort estimates: + +1. **Response Parsing for Tool Calls** (2-4 hours) + - Detect tool calls from model output + - Parse tool name and arguments + - Handle different formats + +2. **Multi-turn Rollout Loop** (6-8 hours) + - play_task() function + - Message history management + - Tool execution integration + - Episode termination logic + +3. **Tool Environment** (4-8 hours) + - OpenEnv integration for Tau2Bench + - Tool registration and execution + - Reward computation + +4. **Response Masking** (4-6 hours) + - Track which tokens to train on + - Update Episode dataclass + - Update GRPO loss function + +5. **Tool Schema Generation** (2-4 hours) + - Convert Python functions to schemas + - Format for model consumption + +6. **System Prompt Formatting** (2-3 hours) + - Format with tool definitions + - Task-specific templates + +7. **Tau2 Evaluation Integration** (4-6 hours) + - CLI interface + - Programmatic evaluation + - Results collection + +#### 8.3 Implementation Checklist + +**Phase 1: Minimum Viable Tool Calling (1-2 days)** +- [ ] Implement `parse_response()` function +- [ ] Implement basic `play_task()` function +- [ ] OpenEnv integration with simple tools +- [ ] Test end-to-end on simple task + +**Phase 2: Integration with Forge GRPO (2-3 days)** +- [ ] Add `response_mask` to Episode +- [ ] Update `continuous_rollouts` to use `play_task()` +- [ ] Update GRPO loss with masking +- [ ] Test training loop + +**Phase 3: Production-Ready (3-5 days)** +- [ ] Tool schema generation +- [ ] System prompt formatting +- [ ] OpenEnv integration for Tau2Bench +- [ ] Comprehensive logging and metrics +- [ ] Error handling and edge cases + +**Phase 4: Tau2Bench Evaluation (1-2 days)** +- [ ] CLI evaluation interface +- [ ] Programmatic evaluation +- [ ] Results analysis tools +- [ ] Run full evaluation on trained model + +**Total Estimated Effort:** 1-2 weeks for full implementation + +#### 8.4 Next Steps and Quick Reference +- **MOVED** from appendix + +**Immediate Next Steps**: +1. Choose a pattern from Part 5 (recommend starting with Pattern A or B) +2. Implement core utilities (parse_response, play_task) +3. Create Tau2Bench example in `examples/tau2bench/grpo/` +4. Test on simple Tau2Bench task (mock domain) +5. Train model and evaluate + +**Key Files to Create**: +- Core utilities: + - `forge/utils/parsing.py` - response parsing + - `forge/rollouts/multiturn.py` - play_task function + - `forge/utils/masking.py` - response masking utilities + - `forge/utils/prompts.py` - prompt formatting +- Tau2Bench example: + - `examples/tau2bench/grpo/main.py` - training script + - `examples/tau2bench/grpo/tau2_env.py` - environment adapter + - `examples/tau2bench/grpo/config.yaml` - configuration + +**Key Concepts Recap**: +- Multi-turn = multiple back-and-forth exchanges +- Tool calling = model invokes functions, not just text +- Response mask = which tokens to train on (1) vs ignore (0) +- Environment = executes tools, manages state, provides rewards +- Sparse reward = only at episode end (Tau2Bench pattern) + +**Questions to Answer**: +- Which pattern to start with? (A or B recommended) +- Core vs task-specific for each utility? +- OpenEnv setup for Tau2Bench tools? +- How to structure examples directory? + +--- + +## Key Insights and Discussions from Conversation + +### 1. Document Purpose and Audience +- **Goal**: Provide clean, working code (not just plans) for Forge + Tau2Bench + multi-turn + tool calling +- **Audience**: Junior developers new to RL and Forge +- **Deliverable**: Code that works, with clear examples + +### 2. Training vs Evaluation Strategy +- **Training**: Use OpenEnv Docker sandboxes (NOT Tau2Bench) +- **Evaluation**: Use Tau2Bench to measure performance +- **Rationale**: Tau2Bench is a benchmark, not a training environment +- **Approach**: Train on OpenEnv environments, evaluate on Tau2Bench + +### 3. Code Formatting Preferences +- **From**: `**= Code Reference:** path/to/file.py` with titled code blocks +- **To**: `# path/to/file.py` as first line in code block +- Remove code block titles unless clear topic separation +- Cleaner, more readable code snippets + +### 4. Core vs Tau2Bench-Specific Code +- **Philosophy**: Core functions should be env-agnostic +- **Reason**: Environment is injected at app level, user customizes the app/example +- **Decision framework** needed for each proposed function +- **File organization**: + - **Core** (reusable): `forge/data/`, `forge/utils/`, `forge/rollouts/` + - **Tau2Bench-specific**: `examples/tau2bench/grpo/` +- **Questions to ask**: + - Is this reusable across tasks? + - Is this specific to Tau2Bench? + - Would other users find this useful? + +### 5. Focus on Real Production Libraries +- Don't waste time on toy examples (BlackJack is just for the pattern) +- **Focus on**: NeMo-RL, VERL, TRL, **Tinker** P, Verifiers/PRIME-RL +- **Especially highlight Tinker's APIs** - we want to follow them closely +- All patterns must be adaptable to Forge + vLLM + OpenEnv stack + +### 6. Tinker APIs - Special Focus P +- **Why Tinker**: Clean, modular, production-tested design +- **Key patterns to highlight**: + - **Renderer pattern**: Clean prompt formatting abstraction + - **Environment.step() API**: Standard gym-like interface with StepResult + - **Trajectory processing**: Clean conversion from episodes to training data + - **Response masking**: Clean implementation in data processing phase + - **Separation of concerns**: Rollout logic separate from data processing +- **Where to highlight**: Throughout Part 4 components and Part 5 Pattern B +- **Mark with** P to make it easy to spot + +### 7. Part 5 Pattern Philosophy +- Show different ways to structure the loop **in Forge** +- Not "how other libraries do it" but "how to adapt their approaches to Forge" +- All use same stack: **Forge Generator + vLLM + OpenEnv + Tau2Bench** +- Use **internal vLLM** (Forge Generator), not external server +- **Exception**: Document external server as valid option (Part 4.0) + +### 8. vLLM Server Options (CRITICAL Clarification) +- **Option A: Forge Generator (internal vLLM)**  Recommended + - vLLM engine inside Forge as distributed actor + - Allocated to its own GPUs via Monarch + - Communication via async actor calls (not HTTP) + - This is what Forge currently does +- **Option B: External vLLM Server (separate process)** + - vLLM runs as independent HTTP server (e.g., TRL pattern) + - Blocking HTTP requests to `localhost:8000/generate` + - Separate from training process + - Useful for: debugging, exploration, separation of concerns +- **Option C: Hybrid** + - Use external for debugging/exploration + - Use internal for production training +- **Documentation approach**: + - All examples use Option A (Forge Generator) + - Document Option B as valid alternative + - Brief notes in each pattern on how to adapt to Option B + +### 9. Structural Changes Summary +- **Swap Part 1 Part 2**: Explain Tau2Bench first (what we're building for) +- **Move Tau2 Modes**: To start of Tau2Bench section (critical context) +- **Merge 4.4 + 4.10**: Generation + concurrency in one section +- **Merge 4.7 + 4.8**: Masking + token collection (tightly coupled) +- **Add Part 4.0**: vLLM server options (internal vs external) +- **Delete old Part 7**: Async patterns (move content to 4.4 and 6.7) +- **Add new Part 7**: Tau2Bench evaluation (was missing!) + +### 10. Content Enhancements +- **Add**: Concrete Python while loop example in Fundamentals (Part 2.4) +- **Add**: Environment concept early (Part 2.5) +- **Expand**: Approach 1 explanation (native function calling details) +- **Add**: Qwen tag-based approach in Approach 2 with parser example +- **Add**: YAML examples to each pattern (show complete config) +- **Add**: 2-paragraph summary to each pattern (what it is, when to use) +- **Add**: "when to use" guidance for each pattern +- **Add**: Clarifications (response.choices[0], message.tool_calls, etc.) + +### 11. Missing Pieces Identified (Now Addressed) +-  How to run tau2bench evaluation **Added Part 7** +-  Environment concept **Added Part 2.5** +-  Clear distinction core vs taubench-specific **Added decision framework** +-  vLLM configuration flags **Consolidated in 4.4** +-  vLLM server options **Added Part 4.0** +-  Tinker highlighting **Throughout Part 4 and Pattern B** + +### 12. Pattern Count: 5 Patterns in Part 5 +Each pattern shows a different architectural approach, all compatible with Forge: + +1. **Pattern A (TRL-inspired)**: Simplest - token concatenation +2. **Pattern B (Tinker-inspired)** P: Clean abstractions - Renderer, clean APIs +3. **Pattern C (VERL-inspired)**: State machine - explicit state management +4. **Pattern D (NeMo-RL-inspired)**: Async pipelining - maximum performance +5. **Pattern E (Verifiers-inspired)**: Native tool calling - production-ready + +**Rationale for 5 patterns**: +- Covers spectrum from simplest to most complex +- Shows different trade-offs (simplicity vs performance vs abstraction) +- Gives users clear choices based on their needs +- Highlights Tinker's approach (special focus) + +--- + +## Implementation Notes + +### Code Formatting Rules +1. Use `# path/to/file.py` as first line of code blocks +2. Remove `**= Code Reference:**` sections +3. Remove code block titles unless clear topic separation +4. Example transformation: + ``` + FROM THIS: + **Prompt Formatting:** + **= Code Reference:** `OpenEnv/examples/grpo_blackjack/grpo_utils.py` + ```python + def format_prompt(...): + ``` + + TO THIS: + ```python + # OpenEnv/examples/grpo_blackjack/grpo_utils.py + def format_prompt(...): + ``` + ``` + +### Clarifications to Add Throughout +1. **`response.choices[0]`** - why [0]? + - Because generate can return N samples (when n > 1) + - We typically use first sample in rollout + - For GRPO, we generate multiple samples per prompt + +2. **`message.tool_calls`** - who parsed it and put it there? + - If using native function calling: vLLM parses automatically + - If using text parsing: you parse manually and populate + - Depends on approach (Approach 1 vs 2 from Part 2) + +3. **`transfer_to_human_agents`** - what is it? + - Signals agent needs help from human + - One of the end-of-episode conditions + - Tau2Bench-specific tool + +4. **Stop keywords** ("bye", "thanks") + - Verify if actually in tau2bench code or invented + - Add proper reference to tau2bench documentation + - Action item: Check tau2bench source + +5. **vLLM server options** (Part 4.0) + - Internal (Forge Generator) vs External (separate process) + - When to use each + - How to adapt code + +### References to Existing Forge Code + +Throughout Part 6, reference these files: + +1. **`/home/felipemello/forge/src/forge/losses/reinforce_loss.py`** + - Already has `target_mask` parameter + - Shows pattern for applying mask to loss + - Can be adapted for `response_mask` + +2. **`/home/felipemello/forge/apps/grpo/main.py`** + - Has GRPO loss implementation + - Uses `compute_logprobs` function + - Uses `F.cross_entropy` for memory efficiency + - Show how to extend for multi-turn + +3. **Existing Forge patterns**: + - Async actor communication (Monarch) + - Replay buffer usage + - Episode dataclass structure + - Weight syncing via torchstore + +### Pattern Requirements (Part 5) + +Each of the 5 patterns must have: + +1. **2-paragraph summary** at the top + - **Paragraph 1**: What this pattern is (1-2 sentences) + - **Paragraph 2**: When to use it (1-2 sentences with specific scenarios) + +2. **YAML Configuration Example** + - Complete, runnable config + - Show all relevant sections (policy, trainer, rollout, etc.) + - Include comments explaining key settings + +3. **Complete Code Walkthrough** + - Full implementation using Forge Generator + - All necessary functions + - Integration points with Forge GRPO + - Actually runnable code (not pseudocode) + +4. **Key Insights Section** + - What makes this pattern unique + - Trade-offs vs other patterns + - Performance characteristics + - When it works well / doesn't work well + +5. **(Optional) Adaptation Note** + - If relevant: how to adapt to external vLLM server + - Keep brief (2-3 sentences) + - Not needed if pattern doesn't benefit from external server + +### Tinker Highlighting Requirements P + +Throughout the document, prominently feature Tinker: + +1. **Mark Tinker sections** with P emoji for easy spotting + +2. **Part 4 Components**: Highlight Tinker's approach for: + - Component 2 (Prompt Formatting): Renderer pattern + - Component 4 (Tool Execution): Clean tool definition + - Component 5 (Message History): Explicit list pattern + - Component 6 (Response Masking): Trajectory processing + +3. **Part 5 Pattern B**: Dedicated pattern for Tinker + - Most detailed pattern + - Show complete Renderer implementation + - Show Environment API + - Show trajectory data conversion + - Emphasize design philosophy + +4. **Why Tinker is good** (mention throughout): + - Modularity and separation of concerns + - Easy to test and debug + - Clean abstractions + - Production-proven + - Reusable components + +5. **Code examples from Tinker**: + - Renderer class structure + - Environment.step() return type + - Trajectory dataclass + - Response masking in data processing + +--- + +## Estimated Length + +- **Current document**: ~2,000 lines +- **Estimated final**: ~2,800-3,200 lines +- **Growth**: +800-1,200 lines + +**Breakdown of additions**: +- Part 7 (Tau2Bench evaluation): ~200-250 lines +- Enhanced Approach 1/2 explanations: ~100-150 lines +- Python while loop example (Part 2.4): ~50 lines +- Environment section (Part 2.5): ~100 lines +- Part 4.0 (vLLM server options): ~100-150 lines +- YAML examples (5 patterns 30 lines): ~150 lines +- Clarifications and comments throughout: ~100-150 lines +- Additional Tinker highlighting: ~50-100 lines +- Pattern summaries and "when to use": ~100 lines + +--- + +## Open Questions for Implementation + +### 1. Forge Generator Async Engine +- **Question**: Does Forge Generator support `async_engine: true` flag like NeMo-RL? +- **Or**: Is async handled differently via Monarch actors? +- **Impact**: Affects Part 4.4 and Pattern D documentation +- **Action**: Check Forge Generator source code to clarify async mechanism +- **Document**: Current Forge async approach accurately + +### 2. Pattern D (NeMo-RL Async Pipelining) Feasibility +- **Question**: Can this pattern be implemented with current Forge Generator? +- **Or**: Does it require external vLLM with AsyncLLM? +- **Consideration**: May need to document limitations or required adaptations +- **Alternative**: If not directly supported, show how to approximate the benefits + +### 3. Stop Keywords in Tau2Bench +- **Question**: Are "bye", "thanks" actually in tau2bench code? +- **Or**: Was this invented in the original document? +- **Action**: Check tau2bench source code + - Look in: `tau2-bench/src/tau2/orchestrator/` + - Check user simulator stop conditions +- **Document**: Add proper reference if exists, or remove if invented + +### 4. Response Masking Coverage in Patterns +- **Question**: Should EVERY pattern show complete response masking implementation? +- **Or**: Just mention it and refer to Part 4.7? +- **Trade-off**: Completeness vs verbosity +- **Recommendation**: + - Show full implementation in Patterns B and D (most detailed) + - Brief mention + reference in Patterns A, C, E + - Always mention it, but vary level of detail + +### 5. OpenEnv Setup for Tau2Bench +- **Question**: How exactly to set up OpenEnv Docker container with Tau2Bench tools? +- **Action**: Need to research or create example +- **Impact**: Part 6.3 (OpenEnv Integration) +- **Consider**: May need separate setup guide or prerequisite steps + +### 6. Forge-Specific vLLM Flags +- **Question**: Which vLLM flags are supported/relevant for Forge Generator? +- **Examples**: `enable_auto_tool_choice`, `tool_call_parser`, `async_engine` +- **Action**: Check Forge Generator EngineArgs forwarding +- **Document**: Only show flags that actually work with Forge + +--- + +## Ready for Implementation + +This structure is complete and ready for implementation. All major decisions documented: + + Highlighting Tinker APIs throughout (with P markers) + Clarifying internal vs external vLLM server options + 5 patterns in Part 5 with clear focus areas + Complete section structure with all enhancements + Code formatting rules defined + Core vs task-specific decision framework + Missing Part 7 (Tau2Bench evaluation) added + All content enhancements specified + Implementation notes for each section + Open questions documented for resolution during implementation + +**Next step**: Use this document in a new conversation to implement the refactored tutorial. diff --git a/brainstorming_forge_tau/changes/1_message_format_for_tool_calling.md b/brainstorming_forge_tau/changes/1_message_format_for_tool_calling.md new file mode 100644 index 000000000..335c86be7 --- /dev/null +++ b/brainstorming_forge_tau/changes/1_message_format_for_tool_calling.md @@ -0,0 +1,168 @@ +# Part 5: Message Format for Tool Calling + +## Problem + +**Current:** Dataset calls `tokenizer.apply_chat_template()` at data loading time, converting messages to strings. + +**Why this breaks tool calling:** +1. Can't add tool definitions to prompts (lost message structure) +2. Can't do multi-turn (need to rebuild prompt each turn with updated history) +3. Can't manage conversation state + +**Root cause:** Formatting happens too early (dataset) instead of per-turn (rollout loop). + +--- + +## Solution: Format in Rollout Loop + +**Key insight:** All frameworks (VERL, TRL, Tinker, NeMo-RL) format messages in the rollout loop, not the dataset or generator. + +**Architecture:** +``` +Dataset Rollout Loop Generator + ↓ ↓ ↓ +Return messages apply_chat_template() Receive string +(structured) per turn with tools (unchanged) +``` + +**Generator doesn't change** - stays stateless, keeps `generate(prompt: str) → Completion` API. + +--- + +## Current State + +### Dataset (apps/grpo/main.py:217-234) +```python +def gsm8k_transform(sample): + messages = [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": sample["question"]}, + ] + + # ❌ Formatting happens HERE - too early + formatted_request = self._tokenizer.apply_chat_template(messages, ...) + return {"request": formatted_request, "target": formatted_target} +``` + +### Rollout Loop (apps/grpo/main.py:359-373) +```python +async def continuous_rollouts(): + sample = await dataloader.sample.call_one() + + prompt, target = sample["request"], sample["target"] # Already a string + responses = await policy.generate.route(prompt) +``` + +**Problem:** Once formatted to string, can't add tools or continue multi-turn conversation. + +--- + +## New State (Single-Turn) + +### 1. Dataset Returns Messages +```python +def gsm8k_transform(sample): + messages = [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": sample["question"]}, + ] + + target = sample["answer"].split("#### ")[1] + + # ✅ Return structured messages + return {"messages": messages, "target": target} +``` + +### 2. Add Tokenizer to Main +```python +async def main(cfg: DictConfig): + # ... after service initialization ... + + # ✅ Get tokenizer for rollout loop + from vllm.transformers_utils.tokenizer import get_tokenizer + tokenizer = get_tokenizer(cfg.dataset.model) +``` + +### 3. Format in Rollout Loop +```python +async def continuous_rollouts(tokenizer): # ✅ Add parameter + sample = await dataloader.sample.call_one() + + messages, target = sample["messages"], sample["target"] # ✅ Get messages + + # ✅ Format HERE in rollout loop + prompt_str = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=False + ) + + # Generator receives string (same as before!) + responses = await policy.generate.route(prompt_str) +``` + +### 4. Pass Tokenizer to Tasks +```python +rollout_tasks = [ + asyncio.create_task(continuous_rollouts(tokenizer)) # ✅ Pass tokenizer + for _ in range(num_rollout_threads) +] +``` + +--- + +## New State (Multi-Turn with Tools) + +For multi-turn, extend the rollout loop. Generator still doesn't change. + +```python +async def play_task( + messages: list[dict], # From dataset + tools: list[dict], # From environment + env, # Environment client + generator, # Forge Generator (unchanged!) + tokenizer, + max_turns: int = 10, +): + """Multi-turn rollout with tool calling.""" + + for turn in range(max_turns): + # 1. Format with tools (ROLLOUT LOOP does this each turn) + prompt_str = tokenizer.apply_chat_template( + messages, + tools=tools, # ← Add tools to prompt + add_generation_prompt=True, + tokenize=False + ) + + # 2. Generate (generator API unchanged) + response = await generator.generate.route(prompt_str) + + # 3. Parse tool calls + tool_calls = parse_tool_calls(response.text) + + if tool_calls: + # 4. Add assistant message + tool calls + messages.append({ + "role": "assistant", + "content": response.text, + "tool_calls": tool_calls + }) + + # 5. Execute tools and add results + for tc in tool_calls: + result = await env.execute_tool(tc["name"], tc["args"]) + messages.append({ + "role": "tool", + "content": result.content + }) + # Loop continues - reformats with updated messages + else: + # 6. Final answer + messages.append({"role": "assistant", "content": response.text}) + break + + return messages, response +``` + +**Key:** Rollout loop manages history, formats each turn, generator stays stateless. diff --git a/brainstorming_forge_tau/changes/2_episode_class.md b/brainstorming_forge_tau/changes/2_episode_class.md new file mode 100644 index 000000000..4c5e17e53 --- /dev/null +++ b/brainstorming_forge_tau/changes/2_episode_class.md @@ -0,0 +1,189 @@ +# Episode Class Design for Multi-Turn Tool Calling in Forge + +## Executive Summary + +After analyzing VERL, Prime-RL, TRL, NeMo-RL, and Tinker, we propose a clean `Episode` class for multi-turn tool calling in Forge. + +**Key Insight:** Forge's current `pad_id`, `request_len`, `response_len` exist as workarounds for not having response masking. All other frameworks use explicit masks instead. + +**Recommendation:** Single `Episode` dataclass with concatenated tokens and explicit `response_mask`. + +--- + +## Current Forge Episode (Problems) + +```python +@dataclass +class Episode: + episode_id: str + pad_id: int # ❌ Workaround for no masking + request_len: int # ❌ Fixed-length workaround + response_len: int # ❌ Fixed-length workaround + target: Any | None = None + completion: Completion | None = None # ❌ Stores entire object + ref_logprobs: torch.Tensor | None = None + reward: float | None = None + advantage: float | None = None +``` + +**Problems:** +- Can't handle multi-turn (variable length) +- No response masking → would train on tool results (critical bug!) +- Stores entire `Completion` object (memory waste) +- Fixed lengths incompatible with variable-turn episodes + +--- + +## Proposed Episode Class + +```python +from dataclasses import dataclass, field +from typing import Any +import torch + + +@dataclass +class Episode: + """ + Episode data for GRPO training with multi-turn tool calling support. + + Stores concatenated tokens from all turns (prompts + LLM outputs + tool results) + with a response mask indicating which tokens to train on. + + Example multi-turn episode: + Turn 1: User: "Search Python" → Assistant: "search(...)" + Turn 2: Tool: "Found 10 results..." → Assistant: "Here are the results..." + + all_token_ids: [101, 102, 345, 346, 456, 457, 458, 567, 568] + response_mask: [ 0, 0, 1, 1, 0, 0, 0, 1, 1 ] + [prompt ][LLM ][ tool result ][LLM ] + """ + + # ============ Core Identifiers ============ + episode_id: str + task_name: str | None = None # Environment identifier (e.g., "websearch", "coding") + + # ============ Policy & Truncation (for eviction policy) ============ + generator_version: int # Which policy version generated this + is_truncated: bool # Hit max_turns limit + + # ============ Token Data ============ + all_token_ids: torch.Tensor # All tokens concatenated (prompts + responses + tool results) + # Shape: (seq_len,) + + logprobs: torch.Tensor # Log probabilities for all tokens + # Shape: (seq_len,) + # 0.0 for non-LLM tokens (prompts, tool results) + + response_mask: torch.Tensor # CRITICAL: Mask for training + # Shape: (seq_len,) + # 1.0 = train on this token (LLM output) + # 0.0 = skip this token (prompt, tool result) + + # ============ Conversation History (Optional) ============ + target: Any | None = None # Ground truth (optional, for evaluation) + message_log: list[dict[str, Any]] | None = None + # OpenAI-compatible messages for debugging/analysis + # Example: [ + # {"role": "user", "content": "Search Python"}, + # {"role": "assistant", "content": "...", "tool_calls": [...]}, + # {"role": "tool", "content": "Found 10 results..."} + # ] + + # ============ Rewards & Training ============ + reward: float | None = None + advantage: float | None = None # Computed by GRPO + ref_logprobs: torch.Tensor | None = None # Reference model logprobs (for KL penalty) + # Shape: (seq_len,) + + # ============ Metadata ============ + metadata: dict[str, Any] = field(default_factory=dict) + # Suggested fields (all optional): + # - num_turns: int + # - num_tool_calls: int + # - stop_reason: str + + +# Type alias for GRPO groups +Group = list[Episode] +``` + +--- + +## Key Design Decisions + +| Decision | Choice | Reasoning | +|----------|--------|-----------| +| **Single class vs Multi-class?** | Single `Episode` | GRPO only needs final reward (no per-step). Simpler, less memory, easier batching. VERL/Prime-RL/TRL all use single class. | +| **response_mask** | ✅ Required | **Critical** - prevents training on tool results. Without this, model learns to hallucinate tool outputs instead of calling tools. | +| **Concatenate tokens** | All in `all_token_ids` | Multi-turn requires concatenation anyway. Simpler than separate prompt/completion fields. | +| **actual_length field?** | ❌ Drop | Redundant with `len(all_token_ids)`. Avoid consistency bugs. | +| **pad_id, request_len, response_len?** | ❌ Drop | Workarounds for missing mask. Use dynamic padding in collate_fn instead. | +| **completion object?** | ❌ Drop | Just parse needed fields from Generator. Don't store entire Prompt/text/metadata. | +| **generator_version, is_truncated** | ✅ First-class fields | Critical for eviction policy - don't hide in metadata. | +| **message_log** | Optional | Useful for debugging/analysis, not required for training. | +| **metadata** | Flexible dict | For optional debugging data (num_turns, stop_reason, etc.). | + +--- + +## Why These Choices Matter + +### 1. response_mask is Critical + +**Without masking (BAD):** +``` +Prompt: "Search for Python" +Assistant: "search(...)" +Tool: "Found 10 results: 1. Python.org, 2. ..." ← MODEL TRAINED ON THIS! +Assistant: "Here are the results..." + +Problem: Model learns to output fake tool responses instead of calling tools! +``` + +**With masking (GOOD):** +``` +response_mask: [0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1] + [prompt ][LLM ][tool output ][LLM ] + +Only LLM output tokens contribute to loss → Model learns correct tool calling! +``` + +### 2. Single Class vs Tinker's Multi-Class + +Tinker uses `Transition` → `Trajectory` → `TrajectoryGroup` (3 classes). + +**Why single class for Forge:** +- GRPO only needs final reward (no per-step rewards like PPO/A2C) +- Simpler implementation (1 class vs 3) +- Less memory (no per-step objects) +- Easier batching (flat structure) +- Industry standard (VERL, Prime-RL, TRL all use single class) + +### 3. Eviction Policy Needs generator_version & is_truncated + +Replay buffers need to evict old data: +- **generator_version**: Discard episodes from old policy (stale data) +- **is_truncated**: Don't train on incomplete episodes (noisy signal) + +Too important to hide in metadata dict. + +--- + +## TODO: Truncation Strategy Research + +**Status:** TO BE RESEARCHED + +When an episode hits `max_turns`, we need a clear truncation strategy. + +**Open Questions:** +1. **Turn-level:** Drop whole last turn or keep partial? +2. **Within-turn:** Truncate long tool outputs? Where (start/middle/end)? +3. **Prompt vs Response:** Prioritize which? Drop early turns to fit max_seq_len? +4. **Mask alignment:** How to ensure response_mask stays aligned after truncation? +5. **Training:** Should `is_truncated=True` episodes be excluded or down-weighted? + +**Follow-up:** Create `3_truncation_strategy.md` analyzing how other frameworks handle this and propose strategies for Forge. + +--- + +**End of Document** diff --git a/brainstorming_forge_tau/changes/brainstorming/3_actor_env_judge_v1.md b/brainstorming_forge_tau/changes/brainstorming/3_actor_env_judge_v1.md new file mode 100644 index 000000000..1f6e9b7bc --- /dev/null +++ b/brainstorming_forge_tau/changes/brainstorming/3_actor_env_judge_v1.md @@ -0,0 +1,1612 @@ +My initial prompt: + +``` +you are given '/home/felipemello/forge/brainstorming_forge_tau/1_requirements_and_context.md''/home/felipemello/forge/brainstor +ming_forge_tau/4_examples_APIs.md' '/home/felipemello/forge/brainstorming_forge_tau/tutorials/3_forge_current_state.md''/home/fel +ipemello/forge/brainstorming_forge_tau/tutorials/4_forge_ideal_state.md' + +I want you to explore 3 things +1. What happens if i need multiple envs for the same task, e.g. search the web AND code? In the 4_forge_ideal_state.md, there is +some basic map, but the way its structure only allows 1 env per task. Please reserach how the other frameworks handle this. Do it + for all frameworks expect blackjack +2 Further more, what if my env needs to be an actor? For example, what if my coding env needs gpu access? Or what if i want to +create a stack of envs on 100 cpus = 100 envs, for example? It seems reasonable to leverage Forge + Monarch actor to do all of +the routing / async calls. Then should Forge have a wrapper for OpenEnv envs? +3. Envs are responsible for returning rewards. Its commmon to have llm as a judge. OpenEnv doesnt have an example for that, +afaik. Might be worth investigate their RFCs. How could we have llm as a judge using open env? The case where it just calls an +API is trivial. But what if my model is hosted locally, as an actor? + + +Each one of these can result in a very long research, however, the design on all 3 are related. + +Here is my hint: +For 1, search how other libraries do it +For 2, take a good look at Forge APIs, starting from /home/felipemello/forge/apps/grpo/main.py, and also understand well OpenEnv environments. They have one for coding /home/felipemello/forge/OpenEnv/examples/coding_env_inference.py. Think about what would change if we had to execute this on GPU. Perhaps its also worth checking verifiers at least? Maybe the other frameworks too +For 3, definetely worth checking how other frameworks do llm as a judge, but now you also have a good understanding of Forge actors. + +however, you **MUST** do it phased, i.e. research about a topic and update the doc, ONLY THEN, research about the next topic and +update the doc, etc. I DO NOT want you to do all of the writing at once. + +if you have questions during the process, you can ask me or have a "open questions" at the end of the doc +``` + +---------- + +# Research: Actors, Environments, and LLM-as-a-Judge for Forge Multi-Turn RL + +This document presents research on three interrelated design questions for implementing multi-turn tool calling in Forge: + +1. **Multiple environments per task** (e.g., websearch AND coding) +2. **Environments as actors** (GPU access, distributed execution) +3. **LLM-as-a-judge for rewards** (local models as actors) + +--- + +## 1. Multiple Environments Per Task + +### Research Question +The current design in `4_forge_ideal_state.md` shows a basic 1:1 mapping between tasks and environments. However, real-world scenarios may require: +- **Single task, multiple tool domains**: e.g., "Research X and write code to analyze it" requires both websearch AND coding tools +- **Mixed training batches**: Training on websearch tasks AND coding tasks simultaneously for curriculum learning +- **Task-specific routing**: Different max_turns, tools, and reward functions per environment type + +### How Other Frameworks Handle This + +#### Framework 1: Tinker-Cookbook (Meta) - `CompositeDataset` Pattern P **RECOMMENDED** + +**Location**: `tinker-cookbook/distillation/datasets.py:45-84` + +**Core Abstraction**: `EnvGroupBuilder` + +Every environment type implements a common interface: + +```python +# tinker_cookbook/rl/types.py:64-108 + +class EnvGroupBuilder(ABC): + """ + Builds a group of environments. Enables: + - Multi-agent environments + - GRPO groups (e.g., 8 copies for one problem) + - Task-specific configurations + """ + + @abstractmethod + async def make_envs(self) -> Sequence[Env]: + """Create a group of environments (e.g., 8 copies for GRPO)""" + pass + + async def compute_group_rewards( + self, trajectory_group: list[Trajectory], env_group: Sequence[Env] + ) -> list[tuple[float, Metrics]]: + """Compute final reward looking at whole group (optional)""" + return [(0.0, {}) for _ in trajectory_group] + + def logging_tags(self) -> list[str]: + """Tags for logging (e.g., ['websearch'], ['coding'])""" + return [] +``` + +**Mixing Multiple Environment Types**: `CompositeDataset` + +```python +# tinker_cookbook/distillation/datasets.py:45-84 + +class CompositeDataset: + """Wraps multiple datasets and samples from each according to their groups_per_batch.""" + + def __init__(self, datasets: List[RLDataset], groups_per_batch_list: List[int]): + self.datasets = datasets + self.groups_per_batch_list = groups_per_batch_list + self.length = min(len(dataset) for dataset in datasets) + + def get_batch(self, i_batch: int) -> tuple[List[EnvGroupBuilder], List[int]]: + """ + Get a batch by sampling from each dataset. + + Returns: + env_group_builders: List of all env group builders (mixed!) + dataset_indices: Which dataset each builder came from + """ + all_env_group_builders = [] + all_dataset_indices = [] + + for dataset_idx, (dataset, groups_per_batch) in enumerate( + zip(self.datasets, self.groups_per_batch_list) + ): + env_group_builders = dataset.get_batch(i_batch) + all_env_group_builders.extend(env_group_builders) + all_dataset_indices.extend([dataset_idx] * groups_per_batch) + + return all_env_group_builders, all_dataset_indices +``` + +**Usage Example**: + +```python +# Define two different environment types +websearch_dataset = WebSearchDataset(...) # Returns EnvGroupBuilder for search tasks +coding_dataset = CodingDataset(...) # Returns EnvGroupBuilder for coding tasks + +# Mix them with explicit control over ratios +mixed_dataset = CompositeDataset( + datasets=[websearch_dataset, coding_dataset], + groups_per_batch_list=[50, 50] # 50 websearch + 50 coding groups per batch +) + +# Training loop handles both types transparently +for i_batch in range(num_batches): + env_group_builders, dataset_indices = mixed_dataset.get_batch(i_batch) + # env_group_builders contains 100 items: 50 websearch + 50 coding + # Each builder knows its own tools, max_turns, reward function! +``` + +**Key advantages**: +-  **Decentralized design**: Each `EnvGroupBuilder` is self-contained +-  **Batch-level mixing**: Control exact ratios via `groups_per_batch_list` +-  **Separate logging**: Each builder has `logging_tags()` for domain-specific metrics +-  **Flexible**: Can easily add new environment types without changing training loop + +--- + +#### Framework 2: Verifiers (Prime Intellect) - `EnvGroup` Pattern + +**Location**: `verifiers/verifiers/envs/env_group.py` + +**Core Abstraction**: `EnvGroup` as a Composite Environment + +```python +class EnvGroup(Environment): + """ + Environment group that acts as a mixture of multiple environments. + Routes operations to appropriate sub-environments based on the 'task' column. + """ + + def __init__( + self, + envs: list[Environment], + env_names: list[str] | None = None, + **kwargs + ): + self.envs = envs + self.env_names = env_names or [f"env_{i}" for i in range(len(envs))] + + # Create mapping for quick lookup + self.env_map = {name: env for name, env in zip(self.env_names, self.envs)} + + # Concatenate datasets with task labels + datasets = [] + for env, name in zip(self.envs, self.env_names): + env_dataset = env.get_dataset().map(lambda x: {**x, "task": name}) + datasets.append(env_dataset) + + # Combine all datasets + self.dataset = concatenate_datasets(datasets) +``` + +**Routing Logic**: + +```python +async def rollout(self, client, model, prompt, task, ...): + # Route to appropriate environment based on task field + env = self.env_map[task] + + # Set tools for this task's environment + if hasattr(env, "oai_tools") and env.oai_tools: + info["oai_tools"] = env.oai_tools # Different tools per env! + + # Execute rollout with task-specific environment + completion, state = await env.rollout(client, model, prompt, ...) +``` + +**Custom Rubric for Mixed Rewards**: + +```python +class EnvGroupRubric(Rubric): + """Routes scoring to appropriate environment rubrics.""" + + def __init__(self, env_map: Mapping[str, Environment]): + self.env_map = env_map + + # Collect ALL unique reward function names across environments + all_names_set = set() + for env in env_map.values(): + all_names_set.update(env.rubric.get_reward_func_names()) + self.all_reward_names = sorted(list(all_names_set)) + + async def score_rollout(self, prompt, completion, task, ...): + # Initialize ALL reward names to 0.0 + metrics = {name: 0.0 for name in self.all_reward_names} + + # Get environment for this task + env = self.env_map.get(task) + + # Score with environment's rubric + env_results = await env.rubric.score_rollout(...) + + # Update only the relevant metrics + for reward_name, score in env_results.metrics.items(): + if reward_name in metrics: + metrics[reward_name] = score + + return RolloutScore(reward=env_results.reward, metrics=metrics) +``` + +**Usage Example**: + +```python +# Define environments +websearch_env = vf.ToolEnv( + dataset=websearch_dataset, + tools=[search_pages, view_sections], + max_turns=10 +) + +coding_env = vf.ToolEnv( + dataset=coding_dataset, + tools=[execute_code, debug_code], + max_turns=15 +) + +# Combine into EnvGroup +env = EnvGroup( + envs=[websearch_env, coding_env], + env_names=["websearch", "coding"] +) + +# Training: samples automatically routed to correct environment +generate_outputs = await env.generate( + inputs=mixed_dataset, # Has both "websearch" and "coding" task fields + client=client, + model=model_name +) +``` + +**Key advantages**: +-  **Centralized routing**: `EnvGroup` owns all sub-environments +-  **Sample-level routing**: Automatic based on `task` field in dataset +-  **Unified reward tracking**: All environments' metrics tracked in single dict +-  **Simple API**: Just pass task name, routing happens internally + +--- + +#### Framework 3: NeMo-RL (Thinking Machines) - Dict-based Routing + +**Location**: `RL/nemo_rl/experience/rollouts.py:226-275` + +**Core Pattern**: Explicit `task_to_env` dictionary passed through rollout functions + +```python +def calculate_rewards( + batch: BatchedDataDict[DatumSpec], + task_to_env: dict[str, EnvironmentInterface], +) -> EnvironmentReturn: + """Calculate rewards for generated responses. + + Args: + batch: Contains message_log with generated responses + task_to_env: Dictionary mapping task names to environments + """ + # Extract task names from batch + task_names = batch["task_name"] + + # Group messages by task type + task_groups: dict[str, list[tuple[int, LLMMessageLogType]]] = {} + for i, task_name in enumerate(task_names): + if task_name not in task_groups: + task_groups[task_name] = [] + task_groups[task_name].append((i, messages[i])) + + # Calculate rewards for each task group concurrently + futures = [] + future_to_indices = {} + for task_name, group in task_groups.items(): + if task_name not in task_to_env: + raise ValueError(f"No environment found for task type: {task_name}") + + # Extract messages for this group + indices = [idx for idx, _ in group] + group_messages = [msg for _, msg in group] + + # Submit to environment (Ray actor call) + future = task_to_env[task_name].step.remote(group_messages, env_info) + futures.append(future) + future_to_indices[future] = indices + + # Wait for all environments to complete + results = ray.get(futures) + + # Merge results back into batch order + # ... (details omitted) +``` + +**Usage in Rollout**: + +```python +async def run_async_multi_turn_rollout( + policy_generation, + input_batch, + tokenizer, + task_to_env: dict[str, EnvironmentInterface], # Explicit dict + max_seq_len, + max_rollout_turns, +): + # Each sample has a task_name field + for i in range(batch_size): + sample_state = { + "message_log": input_batch["message_log"][i], + "task_name": input_batch["task_name"][i], # Used for routing + ... + } + + # During reward calculation + env_output = calculate_rewards(active_batch, task_to_env) +``` + +**Setup**: + +```python +# In main training script +task_to_env = { + "websearch": WebSearchEnvironment(...), + "coding": CodeEnvironment(...), + "math": MathEnvironment(...), +} + +# Pass to all rollout functions +rollout_output = run_async_multi_turn_rollout( + policy, batch, tokenizer, + task_to_env=task_to_env, # Explicit parameter + ... +) +``` + +**Key advantages**: +-  **Explicit and simple**: Just a dict, no magic +-  **Ray actor support**: Environments can be distributed actors +-  **Concurrent execution**: Groups tasks by type, processes in parallel +-  **Full control**: You manage the task_to_env mapping + +**Limitations**: +- � Manual setup required (no helper classes like CompositeDataset) +- � Must ensure dataset has `task_name` field +- � No built-in batch mixing logic + +--- + +#### Framework 4: VERL - Separate Config Files (Manual) + +**Location**: `verl/examples/sglang_multiturn/config/tool_config/` + +VERL uses **separate YAML files** for different tool configurations, but does NOT have built-in multi-environment support. + +```yaml +# gsm8k_tool_config.yaml +tools: + - class_name: "verl.tools.gsm8k_tool.Gsm8kTool" + tool_schema: + type: "function" + function: + name: "calc_gsm8k_reward" + +# sandbox_fusion_tool_config.yaml +tools: + - class_name: "verl.tools.sandbox_fusion_tools.SandboxFusionTool" + tool_schema: + type: "function" + function: + name: "code_interpreter" +``` + +**Approach**: Run separate training jobs with different configs OR manually load tools based on task. + +**Limitation**: Not designed for mixed datasets out-of-the-box. + +--- + +### Framework Comparison Table + +| Framework | Multi-Env Support | Routing Method | Tools Per Env | Batch Mixing | Best For | +|-----------|------------------|----------------|---------------|--------------|----------| +| **Tinker (Meta)** |  Built-in `CompositeDataset` | Batch-level mixing |  Different tools |  Explicit ratios | **Production multi-env** | +| **Verifiers (Prime)** |  Built-in `EnvGroup` | `task` field in dataset |  Different tools |  Automatic | **Production multi-env** | +| **NeMo-RL** | � Manual dict | Dict lookup |  Different tools | � Manual | Custom routing logic | +| **VERL** | L No built-in | Separate configs | Config-based | L | Single env per job | + +--- + +### Recommendation for Forge + +**Use Tinker's `CompositeDataset` pattern** as the foundation, with inspiration from Verifiers' centralized routing: + +```python +# 1. Define EnvGroupBuilder abstraction (similar to Tinker) +class EnvGroupBuilder(ABC): + """Base class for creating groups of environments.""" + + @abstractmethod + async def make_envs(self, group_size: int) -> list[Environment]: + """Create group_size environments for this task.""" + pass + + def logging_tags(self) -> list[str]: + """Tags for separating metrics by environment type.""" + return [] + +# 2. Implement for different environment types +class WebSearchEnvBuilder(EnvGroupBuilder): + def __init__(self, task_data, tools, max_turns=10): + self.task_data = task_data + self.tools = tools + self.max_turns = max_turns + + async def make_envs(self, group_size: int): + return [ + WebSearchEnv(self.task_data, self.tools, self.max_turns) + for _ in range(group_size) + ] + + def logging_tags(self): + return ["websearch"] + +class CodingEnvBuilder(EnvGroupBuilder): + def __init__(self, task_data, tools, max_turns=15): + self.task_data = task_data + self.tools = tools + self.max_turns = max_turns + + async def make_envs(self, group_size: int): + return [ + CodingEnv(self.task_data, self.tools, self.max_turns) + for _ in range(group_size) + ] + + def logging_tags(self): + return ["coding"] + +# 3. Use CompositeDataset for mixing +mixed_dataset = CompositeDataset( + datasets=[ + WebSearchDataset(...), # Returns WebSearchEnvBuilder per sample + CodingDataset(...), # Returns CodingEnvBuilder per sample + ], + groups_per_batch_list=[50, 50] # 50 of each per batch +) + +# 4. In Forge rollout loop +async def continuous_rollouts(): + while True: + env_group_builders, dataset_indices = mixed_dataset.get_batch(batch_idx) + + # Each builder knows its own type! + for builder in env_group_builders: + # Create environments (e.g., 8 for GRPO) + envs = await builder.make_envs(group_size=8) + + # Play episodes with appropriate tools/config + episodes = await play_episodes_with_envs( + policy=policy, + envs=envs, + builder=builder # Has logging_tags for metrics + ) +``` + +**Why this approach**: +-  **Different tools per environment**: Each builder configures its own tools +-  **Different max_turns**: WebSearch uses 10, Coding uses 15 +-  **Flexible mixing ratios**: Control with `groups_per_batch_list` +-  **Separate metrics**: Each builder's `logging_tags()` enables domain-specific tracking +-  **Unified training loop**: No special casing needed +-  **Extensible**: Add new environment types without changing core logic + +--- + +## References - Topic 1 + +### Tinker-Cookbook (Meta) +- `tinker-cookbook/tinker_cookbook/rl/types.py:64-108` - `EnvGroupBuilder` interface +- `tinker-cookbook/distillation/datasets.py:45-84` - `CompositeDataset` implementation +- `tinker-cookbook/distillation/train_on_policy.py` - Usage in training loop + +### Verifiers (Prime Intellect) +- `verifiers/verifiers/envs/env_group.py` - `EnvGroup` and `EnvGroupRubric` +- `verifiers/tests/test_env_group.py` - Usage examples +- `verifiers/environments/math_group/math_group.py` - Concrete implementation + +### NeMo-RL (Thinking Machines) +- `RL/nemo_rl/experience/rollouts.py:226-275` - `calculate_rewards` with task routing +- `RL/nemo_rl/experience/rollouts.py:780-880` - `run_async_multi_turn_rollout` +- `RL/nemo_rl/environments/interfaces.py` - `EnvironmentInterface` + +### VERL +- `verl/examples/sglang_multiturn/config/tool_config/` - Tool configuration YAMLs +- `verl/verl/tools/utils/tool_registry.py` - Tool registry pattern + +--- + +## 2. Environments as Actors (GPU Access & Distributed Execution) + +### Research Question +What if an environment needs computational resources like GPUs? For example: +- **Coding environment with GPU**: Execute ML code that requires CUDA +- **Scaling to 100s of environments**: Need distributed execution across multiple CPUs/GPUs +- **LLM-based judging**: Reward functions that call local LLMs (covered in Topic 3) + +Should Forge wrap OpenEnv with actors? How do other frameworks handle this? + +### Forge Actor System (Monarch) + +**How Forge actors work**: + +Forge uses **Monarch** for distributed actor communication, not Ray. Key components: + +```python +# src/forge/actors/generator.py:71-80 + +@dataclass +class Generator(ForgeActor): + """Instance of a vLLM-based generator. + + This class manually recreates a vLLM engine that mirrors AsyncLLMEngine in v1. + All communications are controlled via Monarch's proc meshes. + + Args: + engine_args (EngineArgs): vLLM engine arguments + sampling_params (SamplingParams): Sampling parameters +``` + +**Key pattern**: All Forge actors inherit from `ForgeActor` and use `@endpoint` decorators: + +```python +from monarch.actor import endpoint +from forge.controller import ForgeActor + +@dataclass +class Generator(ForgeActor): + + @endpoint(async_mode=True) + async def generate(self, prompt: str, n: int = 1): + """Async endpoint callable from other actors.""" + # Implementation... + +# Usage from apps/grpo/main.py: +responses = await policy.generate.route(prompt, n=8) +``` + +**Important differences from Ray**: +- ✅ **Monarch proc meshes**: Not Ray actors +- ✅ **Route-based communication**: `.route()` instead of `.remote()` +- ✅ **Process mesh coordination**: Actors coordinate via shared process meshes + +### OpenEnv Execution Model (Docker + HTTP) + +**How OpenEnv currently works** (`OpenEnv/examples/coding_env_inference.py`): + +```python +from envs.coding_env import CodingEnv, CodeAction + +# 1. Launch Docker container with HTTP server +env = CodingEnv.from_docker_image( + "coding-env:latest", + ports={8000: 8000}, # Expose HTTP API +) + +# 2. Call via HTTP (blocking) +result = env.step(CodeAction(code="print('hello')")) + +# 3. Docker container handles execution internally +# - Sandboxed Python environment +# - No GPU access by default +# - Synchronous HTTP calls +``` + +**Key characteristics**: +- ✅ **Isolated execution**: Docker provides sandboxing +- ✅ **Language-agnostic**: Any Docker image works +- ❌ **No GPU support out-of-the-box**: Would need `--gpus all` in Docker +- ❌ **Synchronous**: Blocking HTTP calls +- ❌ **Not distributed**: Each Docker container runs on same host + +### NeMo-RL Approach: Ray Actors for Environments ⭐ **RECOMMENDED for GPU** + +**Location**: `RL/nemo_rl/environments/code_environment.py:49-261` + +**Key Pattern**: Environments are Ray actors with worker pools + +```python +# 1. Define worker as Ray remote class +@ray.remote +class CodeExecutionWorker: + """Helper class to process individual code execution steps.""" + + def __init__(self): + # Create sandbox for code execution + self.sandbox = {"__builtins__": ...} + + def execute_code(self, code: str): + # Execute code in sandbox + result = exec(code, self.sandbox) + return result + +# 2. Environment is also a Ray actor that manages workers +@ray.remote(max_restarts=-1, max_task_retries=-1) +class CodeEnvironment(EnvironmentInterface): + """Main environment that coordinates workers.""" + + def __init__(self, config: CodeEnvConfig): + self.num_workers = config["num_workers"] + + # Create pool of Ray workers + self.workers = [ + CodeExecutionWorker.remote() + for _ in range(self.num_workers) + ] + + def step(self, message_logs, env_info): + # Batch work across workers + chunked_work = chunk_list_to_workers(message_logs, self.num_workers) + + # Execute in parallel + futures = [ + self.workers[i].execute_code.remote(chunk) + for i, chunk in enumerate(chunked_work) + ] + + # Wait for results + results = ray.get(futures) + return merge_results(results) + + def shutdown(self): + for worker in self.workers: + ray.kill(worker) +``` + +**Usage in training** (`RL/nemo_rl/experience/rollouts.py:260-274`): + +```python +# Setup: Create environments as Ray actors +task_to_env = { + "coding": CodeEnvironment.remote(config), # Ray actor! + "math": MathEnvironment.remote(config), +} + +# During rollout: Call actor methods +env = task_to_env[task_name] +future = env.step.remote(messages, env_info) # Async Ray call +results = ray.get(future) # Wait for completion +``` + +**Key advantages**: +- ✅ **Parallel execution**: Worker pool distributes work +- ✅ **Non-blocking**: Ray futures enable async execution +- ✅ **Resource isolation**: Each actor can have dedicated resources +- ✅ **Fault tolerance**: `max_restarts=-1` handles crashes + +### GPU-Enabled Environments (NeMo-RL Reward Model Example) + +**Location**: `RL/nemo_rl/environments/reward_model_environment.py:71-180` + +**Pattern**: Ray actor with GPU allocation via virtual cluster + +```python +@ray.remote +class RewardModelEnvironment(EnvironmentInterface): + """Environment that uses GPU for reward computation.""" + + def __init__(self, config: Dict[str, Any]): + self.config = config + + # Create Ray virtual cluster with GPU allocation + self.virtual_cluster = RayVirtualCluster( + name="grpo_reward_model_cluster", + bundle_ct_per_node_list=[ + config["resources"]["gpus_per_node"] + ] * config["resources"]["num_nodes"], + use_gpus=True, # <-- Enable GPU allocation + num_gpus_per_node=config["resources"]["gpus_per_node"], + max_colocated_worker_groups=1, + ) + + # Initialize LLM policy on GPUs + self.reward_model_policy = Policy( + cluster=self.virtual_cluster, # Uses GPUs + config=self.config, + tokenizer=self.tokenizer, + weights_path=checkpoint_path, + ) + + def step(self, message_logs, env_info): + # Run inference on GPUs + batch = self.preprocess_data(message_logs) + scores = self.reward_model_policy.forward(batch) + return EnvironmentReturn(rewards=scores, ...) +``` + +**Resource configuration**: + +```python +config = { + "resources": { + "num_nodes": 2, + "gpus_per_node": 4, # 8 total GPUs + }, + "model_name": "Skywork/Skywork-Reward-V2-Qwen3-0.6B", + "precision": "bfloat16", +} + +env = RewardModelEnvironment.remote(config) +``` + +**Key insights**: +- ✅ **GPU allocation**: Virtual cluster manages GPU resources +- ✅ **Multi-node support**: Can span multiple machines +- ✅ **LLM-as-a-judge**: Reward model runs as environment (see Topic 3) + +### Verifiers Approach: CPU-Only Async + +Verifiers does NOT use actors for environments. All execution is CPU-based async: + +```python +# verifiers/envs/tool_env.py +class ToolEnv(MultiTurnEnv): + async def env_response(self, messages, state): + """Execute tools (CPU-bound, async I/O).""" + tool_messages = [] + for tool_call in messages[-1]["tool_calls"]: + # Execute tool (async Python function) + result = await self.tool_map[tool_name](**tool_args) + tool_messages.append({...}) + return tool_messages, state +``` + +**No GPU support**: Tools are Python functions, no GPU access needed. + +### When to Use Actors for Environments + +| Use Case | Solution | Framework Example | +|----------|----------|-------------------| +| **Simple tools (API calls, DB queries)** | No actors, async functions | Verifiers `ToolEnv` | +| **CPU-intensive (code exec, search)** | Ray/Monarch actors with worker pools | NeMo-RL `CodeEnvironment` | +| **GPU-required (LLM judge, model exec)** | Ray actors with GPU allocation | NeMo-RL `RewardModelEnvironment` | +| **Sandboxed execution** | OpenEnv Docker containers | OpenEnv `CodingEnv` | +| **Distributed at scale (100+ envs)** | Ray actors across multiple nodes | NeMo-RL with Ray cluster | + +### Recommendation for Forge + +**Hybrid Approach**: Support both OpenEnv (Docker) AND Monarch actors (for GPU) + +#### Option 1: OpenEnv with Docker (Current, CPU-only) + +```python +# Good for: Sandboxed execution, language-agnostic tools +# Limited by: No GPU, synchronous HTTP + +from openenv import CodingEnv + +env = CodingEnv.from_docker_image("coding-env:latest") +result = env.step(CodeAction(code="...")) +``` + +#### Option 2: Forge Actors for GPU Environments (NEW) + +```python +# Good for: GPU access, async execution, distributed +# Limited by: Requires Forge/Monarch infrastructure + +from forge.controller import ForgeActor +from monarch.actor import endpoint + +@dataclass +class GPUCodingEnv(ForgeActor): + """Coding environment with GPU support.""" + + config: dict + + def __post_init__(self): + # Initialize GPU resources + self.device = torch.device("cuda") + # Load ML model for code analysis + self.model = load_model().to(self.device) + + @endpoint(async_mode=True) + async def execute_code(self, code: str, context: dict): + """Execute code with GPU-accelerated analysis.""" + # Run code in sandbox + result = exec_in_sandbox(code) + + # Analyze with GPU model + analysis = self.model(result) # GPU inference + + return { + "output": result, + "analysis": analysis, + "device": str(self.device) + } + +# Usage: +gpu_env = GPUCodingEnv(config={"device": "cuda:0"}) +result = await gpu_env.execute_code.route(code="...") +``` + +#### Option 3: Wrapper Pattern (Forge Actor → OpenEnv) + +```python +# Good for: Leverage OpenEnv ecosy stem + Forge async +# Limited by: Still no GPU in OpenEnv + +@dataclass +class ForgeOpenEnvWrapper(ForgeActor): + """Forge actor that wraps OpenEnv for async routing.""" + + env_image: str + + def __post_init__(self): + from envs.coding_env import CodingEnv + self.env = CodingEnv.from_docker_image(self.env_image) + + @endpoint(async_mode=True) + async def step(self, action): + # Run OpenEnv in thread pool (blocking → async) + loop = asyncio.get_event_loop() + result = await loop.run_in_executor( + None, + self.env.step, + action + ) + return result + + @endpoint(async_mode=False) + def close(self): + self.env.close() + +# Usage: +env_actor = ForgeOpenEnvWrapper(env_image="coding-env:latest") +result = await env_actor.step.route(CodeAction(code="...")) +``` + +### Proposed Design for Forge + +**1. Create `Environment` interface** (similar to NeMo-RL): + +```python +from abc import ABC, abstractmethod +from forge.controller import ForgeActor + +class Environment(ABC): + """Base class for all Forge environments.""" + + @abstractmethod + async def reset(self) -> dict: + """Reset environment, return initial observation.""" + pass + + @abstractmethod + async def step(self, action: Any) -> dict: + """Execute action, return observation, reward, done.""" + pass + + async def close(self): + """Cleanup resources.""" + pass + +# 2. CPU-based implementation (wraps OpenEnv) +class OpenEnvEnvironment(Environment): + def __init__(self, docker_image: str): + from envs import create_env_from_image + self.env = create_env_from_image(docker_image) + + async def step(self, action): + # Wrap sync call in async + loop = asyncio.get_event_loop() + return await loop.run_in_executor(None, self.env.step, action) + +# 3. GPU-based implementation (Forge actor) +@dataclass +class GPUEnvironment(Environment, ForgeActor): + config: dict + + def __post_init__(self): + self.device = torch.device(self.config["device"]) + # Initialize GPU resources + + @endpoint(async_mode=True) + async def step(self, action): + # GPU computation here + pass +``` + +**2. Environment factory** (route based on config): + +```python +def create_environment(env_type: str, config: dict) -> Environment: + if config.get("requires_gpu", False): + return GPUEnvironment(config) + elif config.get("use_docker", True): + return OpenEnvEnvironment(config["docker_image"]) + else: + return LocalEnvironment(config) + +# Usage: +env = create_environment( + "coding", + config={ + "requires_gpu": True, + "device": "cuda:0", + "model": "codellama" + } +) +``` + +### Key Takeaways + +1. **OpenEnv is great for CPU sandboxing** but lacks GPU support +2. **Ray actors enable GPU environments** (see NeMo-RL reward model) +3. **Forge has Monarch actors** (not Ray), need to adapt patterns +4. **Worker pools enable parallelism** (distribute work across CPUs/GPUs) +5. **Environment abstraction enables flexibility** (swap OpenEnv ↔ GPU actor) + +--- + +## References - Topic 2 + +### Forge (Monarch Actors) +- `src/forge/actors/generator.py:71-80` - Generator as ForgeActor +- `apps/grpo/main.py:82-98` - Actor usage with `.route()` +- `forge/controller/actor.py` - `ForgeActor` base class +- Monarch documentation (proc meshes, @endpoint) + +### OpenEnv +- `OpenEnv/examples/coding_env_inference.py` - Docker-based execution +- `OpenEnv/src/core/http_env_client.py` - HTTP client interface +- `OpenEnv/src/envs/coding_env/` - Coding environment implementation + +### NeMo-RL (Ray Actors) +- `RL/nemo_rl/environments/code_environment.py:49-261` - Ray actor with workers +- `RL/nemo_rl/environments/reward_model_environment.py:71-180` - GPU environment +- `RL/nemo_rl/experience/rollouts.py:226-275` - Environment routing +- `RL/nemo_rl/distributed/virtual_cluster.py` - RayVirtualCluster + +### Verifiers +- `verifiers/envs/tool_env.py` - Async CPU-only execution +- No actor-based environments + +--- + +## 3. LLM-as-a-Judge for Rewards + +### Research Question +Rewards often require LLM-based judging (e.g., "Was this answer helpful?"). Key challenges: +- **API-based judge**: Simple case (OpenAI API, async calls) +- **Local model as judge**: Model hosted as actor with GPU (more complex) +- **Where does judging happen**: Environment or separate reward function? + +How do other frameworks handle LLM-as-a-judge, especially when the judge is hosted locally as an actor? + +### OpenEnv Pattern: Environment Returns Rewards + +**Key insight from OpenEnv**: Environments are responsible for rewards via `.step()`. + +```python +# OpenEnv core interface (src/core/client_types.py) + +@dataclass +class StepResult: + """Result from environment.step()""" + observation: Observation + reward: float | None # <-- Environment computes this! + done: bool + info: dict + +# Example usage +result = env.step(action) +print(f"Reward: {result.reward}") # Environment already computed it +``` + +**Where reward logic lives**: +- **Simple envs**: Reward computed inside Docker container +- **Complex envs**: Could call LLM API inside environment + +**Limitation**: OpenEnv examples don't show LLM-as-a-judge patterns. All examples use rule-based rewards (e.g., poker chips, game scores). + +### Verifiers Pattern: Separate Rubric with API-Based Judge ⭐ **RECOMMENDED for API** + +**Location**: `verifiers/verifiers/rubrics/judge_rubric.py:31-145` + +**Core Abstraction**: `JudgeRubric` separates reward computation from environment + +```python +from openai import AsyncOpenAI +from verifiers.rubrics.rubric import Rubric + +class JudgeRubric(Rubric): + """Uses an LLM to judge if response matches ground truth.""" + + def __init__( + self, + judge_client: AsyncOpenAI | None = None, + judge_model: str = "gpt-4.1-nano", # API model + judge_sampling_args: dict[str, Any] | None = None, + judge_prompt: str = DEFAULT_JUDGE_PROMPT, + **kwargs, + ): + super().__init__(**kwargs) + self.judge_client = judge_client or AsyncOpenAI() + self.judge_model = judge_model + self.judge_prompt = judge_prompt + self.judge_sampling_args = judge_sampling_args or {} + + async def judge( + self, + prompt: Messages, + completion: Messages, + answer: str, # Ground truth + state: State, + **kwargs, + ) -> str: + """Call LLM API to judge correctness.""" + # Extract question and response + question = prompt[-1]["content"] + response = self.parser.parse_answer(completion) + + # Format judge prompt + judge_prompt = self.judge_prompt.format( + question=question, + answer=answer, + response=response + ) + + # Check cache (avoid redundant API calls) + cached = state.get("judge_response", {}) + if judge_prompt in cached: + return cached[judge_prompt] + + # Call LLM API asynchronously + judge_response = await self.judge_client.chat.completions.create( + model=self.judge_model, + messages=[{"role": "user", "content": judge_prompt}], + **self.judge_sampling_args, + ) + judge_response = str(judge_response.choices[0].message.content) + + # Cache result + cached[judge_prompt] = judge_response + state["judge_response"] = cached + return judge_response + + async def score_rollout(self, prompt, completion, answer, state, ...): + """Convert judge output to numeric reward.""" + judge_output = await self.judge(prompt, completion, answer, state) + + # Parse yes/no to 1.0/0.0 + reward = 1.0 if "yes" in judge_output.lower() else 0.0 + + return RolloutScore(reward=reward, metrics={...}) +``` + +**Default judge prompt**: + +```python +DEFAULT_JUDGE_PROMPT = """Given a ground truth answer \ +and a response, determine if the response is correct. + +Question: +``` +{question} +``` + +Ground truth answer: +``` +{answer} +``` + +Response: +``` +{response} +``` + +Respond either "yes" or "no" only.""" +``` + +**Usage**: + +```python +import verifiers as vf +from verifiers.rubrics import JudgeRubric + +# Create environment with LLM judge +env = vf.ToolEnv( + dataset=my_dataset, + tools=[search_tool, calculator], + rubric=JudgeRubric( + judge_model="gpt-4.1-mini", + judge_client=AsyncOpenAI(api_key=...), + judge_sampling_args={"temperature": 0.0, "max_tokens": 10} + ) +) + +# During rollout, rubric automatically calls judge +outputs = await env.generate(inputs=batch, client=client, model=model) +# outputs.rewards computed via LLM judge! +``` + +**Key advantages**: +- ✅ **Separation of concerns**: Rubric (reward) separate from Environment (tools) +- ✅ **Async API calls**: Non-blocking, can handle many concurrent requests +- ✅ **Caching**: Avoid redundant API calls for same prompt +- ✅ **Error handling**: Graceful handling of rate limits, timeouts, API errors +- ✅ **Flexible**: Easy to swap judge models or prompts + +**Limitations**: +- ⚠️ **API-only**: Requires OpenAI-compatible API (can't use local actor model) +- ⚠️ **Latency**: API calls add latency to rollout + +### NeMo-RL Pattern: Reward Model as Environment Actor ⭐ **RECOMMENDED for Local GPU** + +**Location**: `RL/nemo_rl/environments/reward_model_environment.py:71-256` + +**Key Pattern**: Reward model IS the environment, runs as Ray actor with GPUs + +```python +@ray.remote +class RewardModelEnvironment(EnvironmentInterface): + """Environment = Reward model with GPU.""" + + def __init__(self, config: Dict[str, Any]): + # Create Ray virtual cluster with GPUs + self.virtual_cluster = RayVirtualCluster( + bundle_ct_per_node_list=[config["resources"]["gpus_per_node"]] + * config["resources"]["num_nodes"], + use_gpus=True, + num_gpus_per_node=config["resources"]["gpus_per_node"], + ) + + # Load reward model on GPUs + self.reward_model_policy = Policy( + cluster=self.virtual_cluster, + config=self.config, + tokenizer=self.tokenizer, + weights_path=checkpoint_path, + ) + + def step(self, message_logs: List[LLMMessageLogType], env_info): + """ + Score conversations with reward model. + + Args: + message_logs: Full conversation history per sample + env_info: Additional environment metadata + + Returns: + EnvironmentReturn with rewards from model + """ + # Tokenize conversations + batch = self.preprocess_data(message_logs) + + # Run reward model inference on GPU + scores = self.reward_model_policy.forward(batch) + + # Return rewards + return EnvironmentReturn( + rewards=scores, + terminateds=torch.ones(len(message_logs), dtype=torch.bool), + observations=[""] * len(message_logs), + metadata=[{}] * len(message_logs), + next_stop_strings=[None] * len(message_logs), + answers=[""] * len(message_logs), + ) +``` + +**Configuration**: + +```python +reward_model_config = { + "enabled": True, + "model_name": "Skywork/Skywork-Reward-V2-Qwen3-0.6B", + "precision": "bfloat16", + "batch_size": 32, + "checkpoint_path": "/path/to/checkpoint", + "resources": { + "num_nodes": 1, + "gpus_per_node": 2, # 2 GPUs for reward model + }, + "dtensor_cfg": {"enabled": True}, +} + +# Create reward environment as Ray actor +reward_env = RewardModelEnvironment.remote(reward_model_config) +``` + +**Usage in training**: + +```python +# Setup: Reward model is just another environment +task_to_env = { + "math": MathEnvironment.remote(...), + "coding": CodeEnvironment.remote(...), + "reward_scoring": RewardModelEnvironment.remote(...), # Judge environment! +} + +# During rollout: Call like any other environment +env_output = calculate_rewards(batch, task_to_env) +# Internally routes to RewardModelEnvironment.step() +``` + +**Key advantages**: +- ✅ **GPU acceleration**: Full GPU access for reward model +- ✅ **Batch inference**: Efficient batched scoring +- ✅ **Ray actor**: Distributed, fault-tolerant, async +- ✅ **Consistent interface**: Same as other environments (EnvironmentInterface) +- ✅ **Multi-node**: Can distribute across multiple machines + +**Key insight**: **Reward model = Environment**. It "judges" trajectories like a tool env executes tools. + +### VERL Pattern: Standalone Reward Model Manager + +**Location**: `verl/verl/experimental/reward/reward_model.py:32-137` + +**Pattern**: Separate reward model service with HTTP router + +```python +class RewardModelManager: + """Manages reward model servers with load balancing.""" + + def __init__(self, config: RewardModelConfig, worker_group=None): + self.config = config + self._initialize_llm_servers() # Spawn vLLM/SGLang servers + self._initialize_router() # Load balancer + + def _initialize_llm_servers(self): + """Spawn multiple reward model replicas.""" + rollout_world_size = self.config.rollout.tensor_model_parallel_size + num_replicas = self.config.n_gpus // rollout_world_size + + # Create replica servers + self.rollout_replicas = [ + rollout_replica_class( + replica_rank=rank, + config=self.config.rollout, + model_config=model_config, + gpus_per_node=self.config.n_gpus_per_node, + is_reward_model=True, # Special flag + ) + for rank in range(num_replicas) + ] + + # Initialize servers (colocated or standalone) + if self.worker_group: + self._run_all([s.init_colocated(self.worker_group) for s in self.rollout_replicas]) + else: + self._run_all([s.init_standalone() for s in self.rollout_replicas]) + + def _initialize_router(self): + """Create HTTP router to load balance across replicas.""" + worker_urls = [f"http://{addr}" for addr in self.server_addresses] + self.router_address, _ = launch_router_process(worker_urls=worker_urls) + + async def chat_complete(self, chat_complete_request: dict): + """Call reward model via HTTP (OpenAI-compatible).""" + url = f"http://{self.router_address}/v1/chat/completions" + async with aiohttp.ClientSession() as session: + async with session.post(url, json=chat_complete_request) as resp: + output = await resp.json() + return ChatCompletion(**output) +``` + +**Usage**: + +```python +# Setup reward model manager +reward_mgr = RewardModelManager( + config=RewardModelConfig( + model={"path": "Skywork/Skywork-Reward-V2-Qwen3-0.6B"}, + rollout={"tensor_model_parallel_size": 2}, + n_gpus_per_node=4, + nnodes=1, + ) +) + +# Call reward model +async def score_trajectory(messages): + request = { + "model": "Skywork/Skywork-Reward-V2-Qwen3-0.6B", + "messages": messages, + "temperature": 0.0, + } + response = await reward_mgr.chat_complete(request) + return response.choices[0].message.content +``` + +**Key advantages**: +- ✅ **Load balancing**: Router distributes across replicas +- ✅ **OpenAI-compatible**: Standard HTTP API +- ✅ **Colocated or standalone**: Flexible deployment +- ✅ **Multiple replicas**: High throughput + +**Difference from NeMo-RL**: Standalone service, not part of environment interface. + +### Comparison: Where Does LLM Judge Live? + +| Framework | Judge Location | Implementation | GPU Support | API | Best For | +|-----------|---------------|----------------|-------------|-----|----------| +| **Verifiers** | `Rubric` (separate from env) | `AsyncOpenAI` client | ❌ API-only | OpenAI | API-based judging | +| **NeMo-RL** | `RewardModelEnvironment` (IS the env) | Ray actor with Policy | ✅ Full GPU | Ray `.remote()` | Local GPU judge | +| **VERL** | `RewardModelManager` (standalone) | HTTP server + router | ✅ Full GPU | HTTP (OpenAI-compatible) | Standalone service | +| **OpenEnv** | Environment (implicit) | Not shown in examples | ⚠️ Depends on impl | Depends | Rule-based rewards | + +### Proposed Design for Forge + +**Option 1: Rubric Pattern (API-based judge)** - Similar to Verifiers + +```python +from openai import AsyncOpenAI +from forge.data.rewards import BaseReward + +class LLMJudgeReward(BaseReward): + """Reward function using LLM judge via API.""" + + def __init__( + self, + judge_model: str = "gpt-4.1-mini", + judge_client: AsyncOpenAI | None = None, + judge_prompt: str = DEFAULT_PROMPT, + ): + self.judge_model = judge_model + self.judge_client = judge_client or AsyncOpenAI() + self.judge_prompt = judge_prompt + + async def evaluate_response( + self, + prompt: str, + response: str, + target: str, + ) -> float: + """Call LLM API to judge response.""" + judge_input = self.judge_prompt.format( + question=prompt, + answer=target, + response=response + ) + + completion = await self.judge_client.chat.completions.create( + model=self.judge_model, + messages=[{"role": "user", "content": judge_input}], + temperature=0.0, + max_tokens=10, + ) + + judge_output = completion.choices[0].message.content.lower() + return 1.0 if "yes" in judge_output else 0.0 + +# Usage in apps/grpo/main.py: +reward_actor = LLMJudgeReward( + judge_model="gpt-4.1-mini", + judge_client=AsyncOpenAI(api_key=os.getenv("OPENAI_API_KEY")) +) + +# During rollout +episode.reward = await reward_actor.evaluate_response( + prompt=prompt, + response=response.text, + target=target +) +``` + +**Advantages**: +- ✅ Minimal changes to existing `apps/grpo/main.py` +- ✅ Works with any OpenAI-compatible API +- ✅ Simple to implement + +**Limitations**: +- ❌ Requires API access (cost, latency) +- ❌ Cannot use local Forge actors + +--- + +**Option 2: Forge Actor Judge (Local GPU)** ⭐ **RECOMMENDED** + +```python +from dataclasses import dataclass +from forge.controller import ForgeActor +from monarch.actor import endpoint +from vllm.transformers_utils.tokenizer import get_tokenizer + +@dataclass +class LLMJudgeActor(ForgeActor): + """LLM judge running on GPU via Forge actor.""" + + model_name: str = "Skywork/Skywork-Reward-V2-Qwen3-0.6B" + engine_args: dict = field(default_factory=dict) + + def __post_init__(self): + # Initialize vLLM engine on GPU (similar to Generator) + from vllm.v1.engine import EngineCoreRequest + self.tokenizer = get_tokenizer(self.model_name) + # ... initialize vLLM engine (see Generator actor) + + @endpoint(async_mode=True) + async def judge_trajectory( + self, + messages: list[dict], + ground_truth: str | None = None + ) -> float: + """ + Judge a full trajectory (multi-turn conversation). + + Args: + messages: Conversation history (OpenAI format) + ground_truth: Expected answer (optional) + + Returns: + Reward score (float) + """ + # Format judge prompt + judge_prompt = self._format_judge_prompt(messages, ground_truth) + + # Generate with vLLM + response = await self.generate(judge_prompt, max_tokens=10) + + # Parse response to reward + reward = self._parse_reward(response.text) + return reward + + def _format_judge_prompt(self, messages, ground_truth): + # Extract final response + final_response = messages[-1]["content"] + + if ground_truth: + return f"""Given the conversation and ground truth, rate the quality of the final answer. + +Conversation: +{self._format_messages(messages)} + +Ground Truth: {ground_truth} + +Rate from 0.0 (incorrect) to 1.0 (perfect). Respond with just a number.""" + else: + return f"""Rate the quality of this conversation from 0.0 (poor) to 1.0 (excellent). + +Conversation: +{self._format_messages(messages)} + +Respond with just a number between 0.0 and 1.0.""" + + def _parse_reward(self, text: str) -> float: + """Extract numeric reward from judge output.""" + import re + match = re.search(r'(\d+\.?\d*)', text) + if match: + reward = float(match.group(1)) + return max(0.0, min(1.0, reward)) # Clamp to [0, 1] + return 0.0 # Default if parsing fails + +# Setup in apps/grpo/main.py: +llm_judge = LLMJudgeActor( + model_name="Skywork/Skywork-Reward-V2-Qwen3-0.6B", + engine_args={ + "model": "Skywork/Skywork-Reward-V2-Qwen3-0.6B", + "tensor_parallel_size": 1, + "dtype": "bfloat16", + } +) + +# During multi-turn rollout (after episode completes): +episode.reward = await llm_judge.judge_trajectory.route( + messages=messages, # Full conversation + ground_truth=task.target # Optional +) +``` + +**Advantages**: +- ✅ **GPU acceleration**: vLLM on local GPUs +- ✅ **Consistent with Forge**: Uses Monarch actors like Generator +- ✅ **Batch inference**: Can judge multiple trajectories in parallel +- ✅ **No API costs**: Runs locally + +--- + +**Option 3: Hybrid (API + Local)** + +Allow users to choose via config: + +```python +# apps/grpo/main.py + +if config.reward.type == "llm_judge_api": + reward_actor = LLMJudgeReward( + judge_model=config.reward.model, + judge_client=AsyncOpenAI(api_key=config.reward.api_key) + ) +elif config.reward.type == "llm_judge_local": + reward_actor = LLMJudgeActor( + model_name=config.reward.model, + engine_args=config.reward.engine_args + ) +elif config.reward.type == "rule_based": + reward_actor = MathReward() # Existing +else: + raise ValueError(f"Unknown reward type: {config.reward.type}") + +# Unified interface: +episode.reward = await reward_actor.evaluate_response.route(...) +``` + +### When to Use Each Pattern + +| Pattern | When to Use | Example | +|---------|------------|---------| +| **API-based (Verifiers)** | Quick experiments, proprietary models (GPT-4) | Research prototyping | +| **Local GPU actor (NeMo-RL)** | Production, custom models, cost-sensitive | Training at scale | +| **Standalone service (VERL)** | Shared judge across multiple training jobs | Multi-user cluster | +| **Rule-based** | Deterministic rewards (math, code correctness) | GSM8K, MBPP | + +### Key Takeaways + +1. **Verifiers separates reward (Rubric) from environment** - clean abstraction +2. **NeMo-RL treats reward model as environment** - unified interface +3. **VERL uses standalone HTTP service** - good for sharing across jobs +4. **Forge should support both API and local GPU judges** - flexibility +5. **LLM judge = just another Forge actor** - consistent with Generator pattern + +--- + +## References - Topic 3 + +### Verifiers (API-based) +- `verifiers/rubrics/judge_rubric.py:31-145` - `JudgeRubric` implementation +- `verifiers/rubrics/rubric.py` - Base `Rubric` class +- `verifiers/envs/tool_env.py` - How rubric is used in environment + +### NeMo-RL (GPU actor) +- `RL/nemo_rl/environments/reward_model_environment.py:71-256` - Reward model as environment +- `RL/nemo_rl/models/policy/lm_policy.py` - Policy wrapper for reward models +- `RL/nemo_rl/distributed/virtual_cluster.py` - GPU resource management + +### VERL (Standalone service) +- `verl/verl/experimental/reward/reward_model.py:32-137` - `RewardModelManager` +- `verl/verl/experimental/reward/router/` - HTTP router implementation +- `verl/verl/workers/rollout/replica.py` - Rollout replica servers + +### OpenEnv +- `OpenEnv/src/core/client_types.py` - `StepResult` with reward field +- `OpenEnv/examples/` - Various examples with rule-based rewards +- No LLM-as-a-judge examples found + +### Forge (Existing Patterns) +- `src/forge/actors/generator.py` - Generator actor (template for judge actor) +- `apps/grpo/main.py:385-398` - Current reward computation +- `forge/data/rewards.py` - `MathReward`, `ThinkingReward` (rule-based) + +--- + +## Open Questions + +After completing this research, here are remaining design questions: + +1. **Multi-environment composition**: If a task needs websearch AND coding, should we: + - Create a composite environment that manages both? (Tinker `EnvGroupBuilder`) + - Route to different environments sequentially? (NeMo-RL `task_to_env`) + - Allow environments to call other environments? (Not seen in any framework) + +2. **GPU environment scaling**: For 100 coding environments on 8 GPUs: + - Should each environment be a separate Forge actor? (High overhead) + - Should we pool environments and route requests? (More complex) + - Can Monarch handle 100 concurrent actors efficiently? + +3. **LLM judge batching**: When judging 64 trajectories: + - Should judge actor batch internally? (More efficient) + - Should caller batch before calling judge? (More flexible) + - How to handle variable-length conversations? + +4. **Reward timing**: When does judging happen? + - After each turn? (Per-step rewards, like OpenEnv) + - After full episode? (Sparse reward, like current GRPO) + - Both? (Hybrid approach) + +5. **Environment lifecycle with Forge actors**: + - How to properly initialize/shutdown Docker environments wrapped as actors? + - Should `ForgeOpenEnvWrapper` create Docker containers on `__post_init__` or lazily? + - How to handle Docker container cleanup when actor dies? + +--- + +*Research completed for all 3 topics.* diff --git a/brainstorming_forge_tau/changes/brainstorming/3_actor_env_judge_v2.md b/brainstorming_forge_tau/changes/brainstorming/3_actor_env_judge_v2.md new file mode 100644 index 000000000..3d4e7a4bc --- /dev/null +++ b/brainstorming_forge_tau/changes/brainstorming/3_actor_env_judge_v2.md @@ -0,0 +1,875 @@ +# Multi-Environment Management for Forge + OpenEnv (CPU Only) + +**Goal:** Enable >1 concurrent rollouts with tool execution using CPU-based OpenEnv environments. + +**Key Principle:** Keep data and environment separate. Dataset provides tasks, environments provide tool execution. + +--- + +## Problem Statement + +From `3_5_ideal_state.md`, a single task needs N rollouts (group_size): + +```python +# Need G rollouts for same task +for _ in range(group_size): # e.g., G=8 + episode = await play_task(task_prompt, tool_schemas, env, max_turns) +``` + +**Issue:** If we have 1 environment and play tasks sequentially, we waste time. Environments can execute tools while LLM generates responses. + +**Blackjack approach:** Creates env client per game, plays sequentially. Works but inefficient for tool calling. + +--- + +## Proposed Solution: Environment Pool with Async Routing + +Create a pool of N environment instances and route requests to available environments. + +### Architecture + +``` +┌──────────────┐ +│ DataLoader │ ──→ tasks (prompt, task_type) +└──────────────┘ + │ + ↓ +┌──────────────────────────────────────┐ +│ Environment Pool │ +│ ┌─────┐ ┌─────┐ ┌─────┐ ┌─────┐ │ +│ │Env 1│ │Env 2│ │Env 3│ │Env 4│ │ +│ └─────┘ └─────┘ └─────┘ └─────┘ │ +│ ↓ ↓ ↓ ↓ │ +│ [free] [busy] [free] [busy] │ +└──────────────────────────────────────┘ + │ + ↓ + Tool execution +``` + +**Core concept:** Maintain a queue of available environments. When a rollout needs tools, acquire an env from the pool, use it, then release it back. + +--- + +## Implementation + +### 1. Environment Pool Manager + +```python +import asyncio +from typing import Dict, List +from openenv.core.http_env_client import HTTPEnvClient + +class EnvPool: + """Pool of OpenEnv instances for concurrent tool execution.""" + + def __init__( + self, + env_type: str, # e.g., "coding", "websearch" + docker_image: str, + pool_size: int = 4, + ): + self.env_type = env_type + self.docker_image = docker_image + self.pool_size = pool_size + + # Pool of environment clients + self.envs: List[HTTPEnvClient] = [] + self.available = asyncio.Queue() + + async def initialize(self): + """Create pool of environment instances.""" + # Start environment servers (separate Docker containers) + for i in range(self.pool_size): + port = 8000 + i + env = await self._create_env(port) + self.envs.append(env) + await self.available.put(env) + + async def _create_env(self, port: int) -> HTTPEnvClient: + """Create single environment instance.""" + # OpenEnv pattern: from_docker_image starts container + returns client + env = HTTPEnvClient.from_docker_image( + self.docker_image, + ports={port: 8000}, # Map host:container ports + name=f"{self.env_type}_env_{port}" + ) + return env + + async def acquire(self) -> HTTPEnvClient: + """Get available environment from pool (blocks if all busy).""" + return await self.available.get() + + async def release(self, env: HTTPEnvClient): + """Return environment to pool.""" + await self.available.put(env) + + async def shutdown(self): + """Cleanup all environments.""" + for env in self.envs: + env.close() +``` + +**Key points:** +- Each environment = separate Docker container on different port +- `acquire()` blocks if all envs busy (backpressure) +- Simple queue-based routing + +--- + +### 2. Modified play_task() with Pool + +```python +async def play_task( + policy: Generator, + task_prompt: str, + env_pool: EnvPool, # Changed from single env + max_turns: int = 10 +) -> Episode: + """Play one task using environment from pool.""" + + # Acquire environment from pool + env = await env_pool.acquire() + + try: + # Reset environment to get tools + result = env.reset() + tool_schemas = result.observation.tools + + messages = [{"role": "user", "content": task_prompt}] + all_tokens = [] + all_logprobs = [] + response_mask = [] + + done = False + turn = 0 + + while not done and turn < max_turns: + # 1. Generate response + prompt = tokenizer.apply_chat_template( + messages, + tools=tool_schemas, + add_generation_prompt=True, + tokenize=False + ) + response = await policy.generate.route(prompt, n=1) + + # 2. Parse tool calls + tool_calls = parse_tool_calls(response.text) + + if tool_calls: + # Add assistant message + messages.append({ + "role": "assistant", + "content": response.text, + "tool_calls": tool_calls + }) + + # Collect LLM tokens + all_tokens.extend(response.token_ids) + all_logprobs.extend(response.logprobs) + response_mask.extend([1] * len(response.token_ids)) + + # 3. Execute tools with acquired env + tool_results = [] + for tc in tool_calls: + result = env.step(ToolCallAction( + name=tc["name"], + args=tc["args"] + )) + tool_results.append(result) + + # Add tool results to conversation + for tr in tool_results: + tool_content = tr.observation.content + tool_tokens = tokenizer.encode(tool_content, add_special_tokens=False) + tool_tokens = tool_tokens[:256] # Truncate + + messages.append({ + "role": "tool", + "content": tokenizer.decode(tool_tokens) + }) + + # Collect tool tokens (don't train on these) + all_tokens.extend(tool_tokens) + all_logprobs.extend([0.0] * len(tool_tokens)) + response_mask.extend([0] * len(tool_tokens)) + + done = tool_results[-1].done if tool_results else False + else: + # Final answer + messages.append({"role": "assistant", "content": response.text}) + all_tokens.extend(response.token_ids) + all_logprobs.extend(response.logprobs) + response_mask.extend([1] * len(response.token_ids)) + done = True + + turn += 1 + + # Get final reward + final_reward = env.get_reward() if hasattr(env, 'get_reward') else 0.0 + + # Create episode + completion = Completion( + prompt_ids=None, + token_ids=torch.tensor(all_tokens), + logprobs=torch.tensor(all_logprobs), + text=tokenizer.decode(all_tokens), + generator_version=0 + ) + + episode = Episode( + episode_id=str(uuid.uuid4()), + pad_id=tokenizer.pad_token_id, + request_len=0, + response_len=len(all_tokens), + target=None, + completion=completion, + response_mask=torch.tensor(response_mask), + ref_logprobs=None, + reward=final_reward, + advantage=None, + metadata={"num_turns": turn, "truncated": turn >= max_turns} + ) + + return episode + + finally: + # Always release environment back to pool + await env_pool.release(env) +``` + +**Key changes:** +- Takes `env_pool` instead of single `env` +- Acquires env at start, releases at end (in finally block) +- Environment lifecycle managed by pool, not play_task + +--- + +### 3. Rollout Loop with Pool + +```python +async def continuous_rollouts( + policy: Generator, + dataloader: DataLoader, + env_pools: Dict[str, EnvPool], # Map task_type -> pool + replay_buffer: ReplayBuffer, + group_size: int = 8 +): + """Continuous rollout loop with environment pools.""" + + while True: + # Sample task from dataloader + task = await dataloader.sample.call_one() + + # Get pool for this task type + env_pool = env_pools[task.task_type] + + # Play G rollouts concurrently using pool + rollout_tasks = [ + play_task( + policy=policy, + task_prompt=task.prompt, + env_pool=env_pool, + max_turns=10 + ) + for _ in range(group_size) + ] + + # Wait for all rollouts to complete + episodes = await asyncio.gather(*rollout_tasks) + + # Add to replay buffer + for episode in episodes: + await replay_buffer.add.call_one(episode) +``` + +**Key points:** +- Uses `asyncio.gather()` to run rollouts concurrently +- Pool handles contention - if all envs busy, rollouts wait +- Each rollout acquires/releases env independently + +--- + +### 4. Setup and Configuration + +```python +# Main setup +async def main(): + # 1. Create services + policy = Generator(...) + trainer = TitanTrainer(...) + replay_buffer = ReplayBuffer(...) + dataloader = DataLoader(Tau2BenchDataset(...)) + + # 2. Create environment pools + env_pools = {} + + # Coding environment pool (4 instances) + coding_pool = EnvPool( + env_type="coding", + docker_image="tau2bench/coding:latest", + pool_size=4 + ) + await coding_pool.initialize() + env_pools["coding"] = coding_pool + + # WebSearch environment pool (4 instances) + websearch_pool = EnvPool( + env_type="websearch", + docker_image="tau2bench/websearch:latest", + pool_size=4 + ) + await websearch_pool.initialize() + env_pools["websearch"] = websearch_pool + + # 3. Start rollout and training loops + try: + rollout_task = asyncio.create_task( + continuous_rollouts(policy, dataloader, env_pools, replay_buffer, group_size=8) + ) + training_task = asyncio.create_task( + continuous_training(trainer, replay_buffer, policy) + ) + + await asyncio.gather(rollout_task, training_task) + finally: + # Cleanup + for pool in env_pools.values(): + await pool.shutdown() +``` + +--- + +## Performance Analysis + +### Pool Size vs Concurrency + +| Pool Size | Group Size | Behavior | +|-----------|------------|----------| +| 1 | 8 | Sequential (like blackjack) - slow | +| 4 | 8 | 4 concurrent, 4 wait - better | +| 8 | 8 | All concurrent - optimal | +| 16 | 8 | Wastes resources (idle envs) | + +**Recommendation:** Pool size ≈ group_size for optimal throughput. + +### Bottleneck Analysis + +Where does time go in a rollout? + +``` +┌─────────────────┐ +│ LLM generation │ ~200-500ms per turn +└─────────────────┘ + ↓ +┌─────────────────┐ +│ Tool execution │ ~50-200ms per tool call +└─────────────────┘ +``` + +**Key insight:** LLM generation and tool execution can overlap across different rollouts! + +Example timeline with pool_size=4, group_size=8: + +``` +Time → +Env1: [R1-tool] ─────── [R5-tool] ─────── +Env2: ────── [R2-tool] ─────── [R6-tool] +Env3: [R3-tool] ─────── [R7-tool] ─────── +Env4: ────── [R4-tool] ─────── [R8-tool] + +R1-R4 execute concurrently, R5-R8 wait then execute +``` + +vs Sequential (pool_size=1): +``` +Env1: [R1] [R2] [R3] [R4] [R5] [R6] [R7] [R8] +``` + +**Speedup:** ~3-4x with pool_size=4. + +--- + +## Open Questions + +1. **Docker startup cost:** How long does `from_docker_image()` take? If slow, pre-warm pool at startup. If fast, create on-demand. + +2. **Environment cleanup:** Should envs be reused across tasks or reset? OpenEnv allows `env.reset()` to clear state. + +3. **Pool size tuning:** How to determine optimal pool size? Depends on tool execution time vs generation time. + +4. **Mixed task types:** If batch has websearch + coding tasks, need both pools. Does this waste resources? + +5. **Error handling:** If env crashes, should pool recreate it or fail? Need retry logic. + +--- + +## Comparison to Actor-Based Approach + +**Environment Pool (this doc):** +- ✅ Simple implementation +- ✅ Works with existing OpenEnv +- ✅ CPU-only, no GPU complexity +- ❌ Limited to single machine (Docker on localhost) +- ❌ Manual pool management + +**Actor-Based (future):** +- ✅ Distributed across machines +- ✅ GPU support for environments +- ✅ Fault tolerance (Forge actors) +- ❌ More complex +- ❌ Requires Forge actor infrastructure + +--- + +## Next Steps + +1. **Implement EnvPool class** in `src/forge/envs/pool.py` +2. **Test with single task type** (e.g., coding only) +3. **Measure speedup** vs sequential (blackjack approach) +4. **Tune pool size** based on profiling +5. **Add error handling** for env crashes + +Once CPU pooling works well, consider scaling to actors for distributed execution. + + +# Actor-Based Environment Management: Do We Need Sticky Sessions? + +**Context:** We want multiple environments for concurrent rollouts. Should we use manual pooling (doc 9) or Forge actors? + +--- + +## Understanding State and Sessions + +From `2_Forge_Internals.md`, sticky sessions solve this problem: + +```python +# WITHOUT SESSIONS: Each .route() goes to different replica +await counter_service.increment.route() # → replica 2 +await counter_service.increment.route() # → replica 1 +await counter_service.increment.route() # → replica 3 +# Result: Inconsistent state across replicas + +# WITH SESSIONS: All calls go to same replica +async with counter_service.session(): + await counter_service.reset.route() # → replica 2 + await counter_service.increment.route() # → replica 2 + await counter_service.increment.route() # → replica 2 +# Result: Consistent state within session +``` + +**When needed:** Multi-turn conversations (KV cache), stateful computations. + +--- + +## Environment State Analysis + +### Blackjack: Per-Game State + +From `grpo_blackjack/grpo_utils.py:384-492`: + +```python +async def play_game(...): + env = OpenSpielEnv(base_url=server_url) # Fresh client + + try: + result = env.reset() # Initialize game state + done = False + step_num = 0 + + while not done and step_num < 10: + # Generate action + responses = await policy.generate.route(prompt) + action_id = parse_action(responses[0].text, obs.legal_actions) + + # Execute in same environment + result = env.step(OpenSpielAction(action_id=action_id, game_name="blackjack")) + done = result.done + step_num += 1 + + final_reward = result.reward # Game outcome + return all_step_results + finally: + env.close() # Cleanup +``` + +**State characteristics:** +- **Stateful within game:** Cards, player hand, dealer hand, score +- **Stateless between games:** Each `play_game()` creates fresh env +- **State duration:** Single game (3-10 steps) + +### Coding Env: Per-Task State + +Similar pattern for code execution: + +```python +async def play_task(...): + env = CodingEnv(...) # Fresh environment + + try: + result = env.reset() # Initialize execution context + + while not done and turn < max_turns: + # Generate code/action + response = await policy.generate.route(prompt) + tool_calls = parse_tool_calls(response.text) + + # Execute in same environment + for tc in tool_calls: + result = env.step(ToolCallAction(name=tc["name"], args=tc["args"])) + + final_reward = env.get_reward() + return episode + finally: + env.close() +``` + +**State characteristics:** +- **Stateful within task:** Variables, file system, execution history +- **Stateless between tasks:** Each task gets fresh env +- **State duration:** Single task (1-15 turns) + +--- + +## Question: Do We Need Sticky Sessions? + +**Short answer:** No, if we acquire env at start of task and release at end. + +**Why?** +1. Each task uses ONE environment throughout (no load balancing mid-task) +2. We're not doing `.route()` to envs during the task +3. The pool/actor handles routing at task level, not step level + +**Comparison:** + +| Pattern | Load Balancing Level | Needs Sessions? | +|---------|----------------------|-----------------| +| **Policy service** | Per generation call | Yes (for multi-turn with KV cache) | +| **Environment pool** | Per task | No (task acquires one env) | +| **Environment service** | Per step (if we .route()) | Yes (to maintain task state) | + +--- + +## Three Approaches to Environment Management + +### Approach 1: Manual Pool (Doc 9) - Simplest + +```python +class EnvPool: + def __init__(self, docker_image: str, pool_size: int): + self.available = asyncio.Queue() + + async def acquire(self) -> HTTPEnvClient: + return await self.available.get() # Blocks if all busy + + async def release(self, env: HTTPEnvClient): + await self.available.put(env) + +# Usage +async def play_task(env_pool: EnvPool): + env = await env_pool.acquire() # Get one env + try: + # Use env for entire task + while not done: + result = env.step(action) + finally: + await env_pool.release(env) # Return to pool +``` + +**Pros:** +- ✅ Simple, explicit control +- ✅ No sticky sessions needed +- ✅ Works with existing OpenEnv + +**Cons:** +- ❌ Manual pool management +- ❌ No fault tolerance +- ❌ Not distributed + +--- + +### Approach 2: Environment as Actor (No Sessions) - Recommended + +Each environment = separate actor. Acquire at task start, use for full task. + +```python +from forge.controller import ForgeActor +from monarch.actor import endpoint + +@dataclass +class CodingEnvActor(ForgeActor): + """Single coding environment as Forge actor.""" + + docker_image: str = "tau2bench/coding:latest" + + def __post_init__(self): + from openenv.envs.coding_env import CodingEnv + self.env = CodingEnv.from_docker_image(self.docker_image) + + @endpoint(async_mode=True) + async def reset(self): + """Reset environment for new task.""" + result = self.env.reset() + return result + + @endpoint(async_mode=True) + async def step(self, action): + """Execute action in environment.""" + result = self.env.step(action) + return result + + @endpoint + async def get_reward(self) -> float: + """Get final reward for task.""" + return self.env.get_reward() + + @endpoint + def close(self): + """Cleanup environment.""" + self.env.close() + + +# Create pool of environment actors +env_actors = await asyncio.gather(*[ + CodingEnvActor.options(procs=1).as_actor( + docker_image="tau2bench/coding:latest" + ) + for _ in range(pool_size) +]) + +# Create simple pool manager +class ActorPool: + def __init__(self, actors: list): + self.available = asyncio.Queue() + for actor in actors: + self.available.put_nowait(actor) + + async def acquire(self): + return await self.available.get() + + async def release(self, actor): + await self.available.put(actor) + +env_pool = ActorPool(env_actors) + +# Usage in play_task +async def play_task(env_pool: ActorPool): + env_actor = await env_pool.acquire() # Get one actor + + try: + # Reset for new task + await env_actor.reset.call_one() + + # Use actor for entire task + while not done: + result = await env_actor.step.call_one(action) + + final_reward = await env_actor.get_reward.call_one() + return episode + finally: + await env_pool.release(env_actor) # Return to pool +``` + +**Pros:** +- ✅ Clean Forge integration +- ✅ Actor fault tolerance (automatic restart) +- ✅ No sessions needed (acquire/release pattern) +- ✅ Explicit actor per task + +**Cons:** +- ❌ Still manual pool management (ActorPool class) +- ❌ Not using service abstraction +- ❌ More boilerplate than both alternatives + +**When to use:** Don't use this - Service + sessions is better (automatic pool management). + +--- + +### Approach 3: Environment as Service WITH Sessions - Most Complex + +Each task creates a session to stick to one environment replica. + +```python +# Create environment service +env_service = await CodingEnvActor.options( + procs=1, + num_replicas=4 # 4 environment replicas +).as_service(docker_image="tau2bench/coding:latest") + +# Usage in play_task - WITH SESSION +async def play_task(env_service): + # Session ensures all calls go to same replica + async with env_service.session(): + await env_service.reset.route() # → replica 2 + + while not done: + # All steps hit same replica = maintains state + result = await env_service.step.route(action) # → replica 2 + + final_reward = await env_service.get_reward.route() # → replica 2 + # Session ends, replica available for other tasks +``` + +**Pros:** +- ✅ Uses service abstraction +- ✅ Automatic load balancing across replicas +- ✅ Fault tolerance + +**Cons:** +- ⚠️ Must use `async with service.session()` (but this is simpler than manual pool!) +- ⚠️ Slightly more overhead than manual pool + +**When to use:** Preferred over Actor Pool (Approach 2) because service handles replica management automatically. + +--- + +## Recommendation: Manual Pool vs Service + Sessions + +**Key insight:** Service + sticky sessions = automatic pool management! No need for manual ActorPool. + +### When to use Manual Pool (Approach 1): +- ✅ Simplest implementation (no actors) +- ✅ Good for CPU-only, single machine +- ✅ Minimal overhead +- ❌ No fault tolerance +- ❌ No distributed execution + +### When to use Service + Sessions (Approach 3): +- ✅ Fault tolerance (automatic actor restart) +- ✅ Automatic load balancing (service picks replica) +- ✅ Session handles routing (no manual pool!) +- ✅ Distributed execution ready +- ❌ More setup overhead +- ⚠️ Need to remember `async with service.session()` + +**Approach 2 (Actor Pool) is unnecessary** - it's manual pool management with actors, which is more complex than both alternatives. + +--- + +## Sticky Sessions: When Actually Needed? + +**Needed:** +1. **Multi-turn LLM with KV cache:** + ```python + async with policy.session(): + r1 = await policy.generate.route(turn1) # Cache hit + r2 = await policy.generate.route(turn1 + r1) # Cache hit + ``` + +2. **Stateful computation across multiple service calls:** + ```python + async with counter_service.session(): + await counter_service.increment.route() + await counter_service.increment.route() + ``` + +**NOT needed:** +1. **Single environment for entire task:** + ```python + env = await env_pool.acquire() # Get one + # Use env throughout task + await env_pool.release(env) # Return + ``` + +2. **Fresh state per call:** + ```python + # Each call independent + reward = await reward_actor.evaluate_response.route(...) + ``` + +--- + +## State Analysis: Blackjack vs Coding + +| Aspect | Blackjack | Coding Env | +|--------|-----------|------------| +| **State holder** | OpenSpiel server | Docker container | +| **State content** | Cards, scores, history | Variables, files, stdout | +| **State duration** | 3-10 steps (one game) | 1-15 turns (one task) | +| **State between tasks** | None (fresh game) | None (fresh container) | +| **Needs sessions?** | No | No | +| **Why not?** | Acquire env once per game | Acquire env once per task | + +**Key insight:** Both are stateful WITHIN a task but stateless BETWEEN tasks. Since we acquire environment at task start and hold it until task end, we don't need sessions. + +--- + +## Implementation Recommendation + +**For now (CPU only, simple):** +Use manual pool from Doc 9. It's clear, explicit, and sufficient. + +**Future (GPU, distributed):** +Convert to actor pool when you need: +- GPU environments (Forge actors can claim GPUs) +- Fault tolerance +- Remote execution + +**Don't use service + sessions for environments** unless you have a specific need for automatic load balancing at the step level (unlikely). + +--- + +## Code Example: Manual Pool vs Service + Sessions + +```python +# OPTION A: Manual pool (simplest, no actors) +class EnvPool: + def __init__(self, docker_image: str, pool_size: int): + self.available = asyncio.Queue() + for i in range(pool_size): + env = HTTPEnvClient.from_docker_image(docker_image, port=8000+i) + self.available.put_nowait(env) + +env_pool = EnvPool("tau2bench/coding:latest", pool_size=4) + +async def play_task(): + env = await env_pool.acquire() # Get env from queue + await env.reset() + await env.step(action) + await env_pool.release(env) # Return to queue + +# OPTION B: Service with sessions (automatic pool management) +env_service = await CodingEnvActor.options( + procs=1, + num_replicas=4 # Service manages 4 replicas +).as_service(docker_image="tau2bench/coding:latest") + +async def play_task(): + # Session automatically picks a replica and sticks to it + async with env_service.session(): + await env_service.reset.route() # → replica N + await env_service.step.route(action) # → same replica N + # Session ends, replica automatically becomes available +``` + +**Comparison:** +- **Option A:** Manual queue management, explicit acquire/release +- **Option B:** Service manages replicas, session handles routing - no manual pool needed! + +**For your use case (OpenSpiel with state):** Either works, but Option B is cleaner once you're using actors. + +--- + +## Summary + +| Question | Answer | +|----------|--------| +| **Do environments have state?** | Yes, within a task (game/episode) - OpenSpiel holds cards, score, etc. | +| **Do we need sticky sessions?** | Only if using service (Approach 3) - session ensures same replica | +| **Best approach for CPU-only?** | Manual pool (Approach 1) - simplest | +| **Best approach with actors?** | Service + sessions (Approach 3) - automatic pool management | +| **What about Actor Pool (Approach 2)?** | Skip it - unnecessary manual work | + +**Key insight from your question:** Yes, sticky sessions ensure same env/replica, eliminating need for manual ActorPool! + +```python +# Service + session replaces manual pool: +async with env_service.session(): # Service picks replica, session sticks to it + await env_service.reset.route() # → replica 2 (has state) + await env_service.step.route(a1) # → replica 2 (state preserved) + await env_service.step.route(a2) # → replica 2 (state preserved) +# Session ends, replica 2 becomes available for other tasks +``` + +**Next step:** Start with manual pool (simplest). Use service + sessions if you need actor benefits. diff --git a/brainstorming_forge_tau/changes/config_changes.md b/brainstorming_forge_tau/changes/config_changes.md new file mode 100644 index 000000000..e69de29bb diff --git a/brainstorming_forge_tau/tutorials/3_5_1_missing_details.md b/brainstorming_forge_tau/tutorials/3_5_1_missing_details.md new file mode 100644 index 000000000..31d104e4d --- /dev/null +++ b/brainstorming_forge_tau/tutorials/3_5_1_missing_details.md @@ -0,0 +1,453 @@ +# Missing Details from 3_5 Ideal State + +This document identifies critical missing details for implementing a production-ready multi-turn tool-calling RL loop with Forge + vLLM + OpenEnv. + +**Organization:** +- **Section 1**: Core details to add to main 3_5 loop +- **Section 2**: Appendix items (configuration, generation args) +- **Section 3**: Open questions requiring clarification + +--- + +## Section 1: Core Details for Main Loop + +### 1. Multi-Environment Routing + +**What's missing:** How to handle multiple task types (websearch, coding, airline) with different tools and configurations. + +**Where it goes:** `continuous_rollouts()` function + +**Pattern:** Verifiers EnvGroup (task-based routing) or Tinker CompositeDataset (batch-level mixing) + +```python +# In continuous_rollouts: +task = await dataloader.sample.call_one() +# task includes: prompt, task_type, metadata + +# Environment map per task type +env_map = { + "websearch": websearch_env, + "coding": coding_env, + "airline": airline_env, +} + +# Route to correct environment +env_client = env_map[task.task_type] +env_state = env_client.reset() +tool_schemas = env_state.observation.tools + +# Different max_turns per environment +max_turns_config = { + "websearch": 10, + "coding": 15, + "airline": 8, +} +max_turns = max_turns_config[task.task_type] +``` + +**References:** +- Verifiers: `verifiers/envs/env_group.py:218-266` (rollout routing) +- Tinker: `tinker-cookbook/distillation/datasets.py:45-83` (CompositeDataset) + +--- + +### 2. Tool Call Parsing + +**What's missing:** How `parse_tool_call()` works and format options. + +**Where it goes:** Called in `play_task()` loop + +**Design choice:** Use Tinker's text-based parsing (simple), with option to leverage vLLM native parsing later. + +```python +# In play_task: +response = await policy.generate.route(prompt, n=1) + +# Parse tool call from response +# Using Tinker pattern: XML tags ... +# Alternative: vLLM native parsing (see Appendix) +tool_call = parse_tool_call(response.text) + +if tool_call: + # tool_call = {"name": "search_wiki", "args": {"query": "..."}} + action = ToolCallAction( + tool_name=tool_call["name"], + parameters=tool_call["args"] + ) +``` + +**Note:** Can use vLLM's native `tool_call_parser="hermes"` for automatic parsing (see Appendix for configuration). + +**References:** +- Tinker: `...` XML tags +- VERL: Uses SGLang's FunctionCallParser +- PRIME-RL: `enable_auto_tool_choice=True, tool_call_parser="hermes"` + +--- + +### 3. Tool Response Truncation + +**What's missing:** Handling very long tool outputs that could exceed context limits. + +**Where it goes:** After `env.step(action)` in `play_task()` + +```python +if tool_call: + result = env.step(action) + tool_content = result.observation.content + + # Truncate long tool responses + tool_tokens = tokenizer.encode(tool_content, add_special_tokens=False) + tool_tokens = truncate(tool_tokens, max_length=256) # TODO: Decide where truncate() lives (env vs explicit in loop) + tool_content = tokenizer.decode(tool_tokens) + + # Add to messages + messages.append({"role": "tool", "content": tool_content}) +``` + +**TODO:** Decide where `truncate()` utility lives: +- Option A: Environment handles truncation before returning +- Option B: Explicit in rollout loop (shown above) +- Option C: Utility function shared across environments + +**References:** +- VERL: `max_tool_response_length=256`, `tool_response_truncate_side="middle"` +- VERL: `verl/experimental/agent_loop/tool_agent_loop.py:457-464` + +--- + +### 4. Parallel Episode Collection + +**What's missing:** Currently sequential episode collection blocks on each `play_task()` call. + +**Where it goes:** `continuous_rollouts()` when creating G samples per task + +```python +# In continuous_rollouts: + +# TODO: Investigate how to parallelize this instead of sequential execution +# Current (sequential): +episodes = [] +for _ in range(group_size): + episode = await play_task(policy, task_prompt, tool_schemas, env, max_turns) + episodes.append(episode) + +# Future (parallel with asyncio.gather): +# episode_tasks = [ +# play_task(policy, task_prompt, tool_schemas, env, max_turns) +# for _ in range(group_size) +# ] +# episodes = await asyncio.gather(*episode_tasks) +``` + +**References:** +- NeMo-RL: `RL/nemo_rl/experience/rollouts.py:780-936` (per-sample async tasks) +- BlackJack: Sequential execution (current pattern) + +--- + +### 5. Episode Metadata + +**What's missing:** Tracking episode statistics for debugging and analysis. + +**Where it goes:** `play_task()` and Episode dataclass + +```python +# In play_task: +turn = 0 +metadata = {} # Track episode stats + +while not done and turn < max_turns: + # ... generation and tool execution ... + turn += 1 + +# Populate metadata +metadata = { + "num_turns": turn, + "truncated": turn >= max_turns, + # ... other stats moved to appendix +} + +# Store in Episode +episode = Episode( + ..., + metadata=metadata # New field +) +``` + +**See Appendix** for full list of metadata fields (num_tool_calls, termination_reason, etc.) + +**References:** +- NeMo-RL: `RL/nemo_rl/experience/rollouts.py:512,523-526` (truncation tracking) +- Tinker: `Transition.metrics` field + +--- + +### 6. System Prompt Formatting + +**What's missing:** How system prompt with tool instructions is created. + +**Where it goes:** Dataset definition or tokenizer's chat template handles this. + +**Design choice:** System prompt comes from either: +1. Dataset provides it per task type +2. Tokenizer's `apply_chat_template()` handles it when `tools=` parameter is passed + +```python +# In play_task: +# Option 1: Dataset provides system prompt +messages = [ + {"role": "system", "content": task.system_prompt}, # From dataset + {"role": "user", "content": task_prompt} +] + +# Option 2: Tokenizer handles it via tools parameter +messages = [{"role": "user", "content": task_prompt}] +prompt = tokenizer.apply_chat_template( + messages, + tools=tool_schemas, # Tokenizer injects system prompt with tool definitions + add_generation_prompt=True, + tokenize=False +) +``` + +**Clarification needed:** Determine if Forge's current tokenizer setup supports `tools=` parameter. + +**References:** +- Tinker: `SEARCH_TOOL_SYSTEM_PROMPT` in `tinker-cookbook/recipes/tool_use/search/search_env.py` +- Verifiers: System message with tool definitions + +--- + +### 7. Response Mask in Training + +**What's missing:** How `response_mask` is passed to trainer. + +**Where it goes:** `continuous_training()` and `trainer.train_step()` + +```python +# In continuous_training: +batch = await replay_buffer.sample(batch_size) + +# Train on batch +await trainer.train_step( + inputs=batch["prompt_ids"], + targets=batch["response_ids"], + advantages=batch["advantages"], + ref_logprobs=batch["ref_logprobs"], + response_mask=batch["response_mask"], # Pass mask to trainer +) +``` + +**Note:** No need to show implementation of mask application in 3_5. Just show the API. + +**References:** +- VERL: `verl/trainer/ppo/core_algos.py:787-808` (masked loss aggregation) +- Verifiers: `mask_env_responses` flag + +--- + +### 8. Error Handling + +**What's missing:** Handling tool execution failures and malformed responses. + +**Where it goes:** `play_task()` around `env.step()` + +```python +# In play_task: +if tool_call: + try: + result = env.step(action) + except Exception as e: + # Add error message instead of tool result + messages.append({ + "role": "tool", + "content": f"Error: {str(e)}" + }) + # Continue to next turn or terminate based on policy +``` + +**References:** +- VERL: `verl/experimental/agent_loop/tool_agent_loop.py:1329-1357` (try/except with cleanup) + +--- + +### 9. Parallel Tool Execution (Multiple Tools Per Turn) + +**What's missing:** Handling multiple tool calls in a single response and executing them in parallel. + +**Where it goes:** `play_task()` loop + +```python +# In play_task: +# Parse multiple tool calls (if model calls multiple tools) +tool_calls = parse_tool_calls(response.text) # Returns list + +if tool_calls: + # TODO: Confirm environment can handle parallel requests + # Execute all tools in parallel + tool_tasks = [ + env.execute_tool(tc["name"], tc["args"]) + for tc in tool_calls + ] + tool_results = await asyncio.gather(*tool_tasks) + + # Add assistant message with all tool calls + messages.append({ + "role": "assistant", + "tool_calls": tool_calls + }) + + # Add all tool results + for tool_result in tool_results: + messages.append({ + "role": "tool", + "content": tool_result.content + }) +``` + +**References:** +- VERL: `verl/experimental/agent_loop/tool_agent_loop.py:1256-1266` (parallel execution) +- NeMo-RL: `max_parallel_calls` configuration + +--- + +## Section 2: Appendix Items + +### A. Generation Arguments + +**What to include:** +- `stop_strings` - List of strings to stop generation +- `stop_token_ids` - List of token IDs to stop generation +- `temperature`, `top_p` - Sampling parameters +- `max_tokens` - Maximum generation length + +**Where it goes:** Appendix section on generation configuration + +```python +# Example generation call with all parameters: +response = await policy.generate.route( + prompt, + n=1, + stop_strings=["", "<|im_end|>"], + stop_token_ids=[tokenizer.eos_token_id], + temperature=0.7, + top_p=0.95, + max_tokens=512, +) +``` + +**References:** +- NeMo-RL: `RL/nemo_rl/models/generation/interfaces.py:127-128` +- NeMo-RL: `RL/nemo_rl/experience/rollouts.py:280,291` (next_stop_strings) + +--- + +### B. vLLM Configuration Flags + +**What to include:** +- `enable_auto_tool_choice` - Enable native tool calling +- `tool_call_parser` - Tool format parser (hermes/mistral/llama) +- `enable_prefix_caching` - Cache prompt prefixes (helps multi-turn) + +**Where it goes:** Appendix section on vLLM setup + +```python +# In Generator initialization: +policy = Generator( + model="Qwen/Qwen2.5-7B-Instruct", + engine_args={ + # Tool calling support + "enable_auto_tool_choice": True, + "tool_call_parser": "hermes", + + # Performance + "enable_prefix_caching": True, + "gpu_memory_utilization": 0.9, + "max_model_len": 4096, + } +) +``` + +**References:** +- PRIME-RL: `prime-rl/examples/wiki_search/rl.toml` +- NeMo-RL: `async_engine: true` for pipelining + +--- + +### C. Episode Metadata Fields (Full List) + +**Complete metadata dictionary:** + +```python +metadata = { + # Basic stats + "num_turns": turn, + "num_tool_calls": tool_call_count, + + # Termination + "truncated": turn >= max_turns, + "termination_reason": "max_turns" | "done" | "error", + + # Performance + "total_tokens": len(all_tokens), + "prompt_tokens": len(prompt_ids), + "response_tokens": len(all_tokens), + + # Task info + "task_type": task.task_type, + "env_name": env_client.name, +} +``` + +**References:** +- NeMo-RL: `RL/nemo_rl/experience/rollouts.py:512,523-526` +- Tinker: `Transition.metrics` + +--- + +## Section 3: Open Questions + +### Q1: Attention Mask & Position IDs + +**Question:** Do we need explicit `attention_mask` and `position_ids` fields in Episode? + +**Context from frameworks:** +- VERL includes `attention_mask`, `position_ids` in batch dict +- NeMo-RL has full batch preparation with these fields + +**Clarification needed:** +1. Does Forge's current Episode → batch conversion handle these automatically? +2. Are they required for training, or does the trainer build them? +3. For multi-turn with concatenated tokens, do we need special handling? + +**Potential answer:** If needed, they can be computed from token IDs: +- `attention_mask`: 1 for real tokens, 0 for padding +- `position_ids`: Sequential positions for all tokens + +**References:** +- VERL: `verl/workers/rollout/sglang_rollout.py` (batch dict construction) +- NeMo-RL: `RL/nemo_rl/experience/rollouts.py` (batch preparation) + +--- + +## Summary + +**To add to main 3_5 loop:** +1. ✅ Multi-environment routing (env_map, task_type) +2. ✅ Tool call parsing (parse_tool_call with format note) +3. ✅ Tool response truncation (truncate() utility with TODO) +4. ✅ Parallel episode collection (TODO for asyncio.gather) +5. ✅ Episode metadata (minimal fields, full list in appendix) +6. ✅ System prompt (clarify dataset vs tokenizer) +7. ✅ Response mask API (pass to trainer) +8. ✅ Error handling (try/except around env.step) +9. ✅ Parallel tool execution (with TODO for env support) + +**To add to appendix:** +- Generation arguments (stop_strings, temperature, etc.) +- vLLM configuration flags +- Full metadata fields + +**Requires clarification:** +- Attention mask & position IDs necessity diff --git a/brainstorming_forge_tau/tutorials/3_5_ideal_state.md b/brainstorming_forge_tau/tutorials/3_5_ideal_state.md new file mode 100644 index 000000000..04f1df492 --- /dev/null +++ b/brainstorming_forge_tau/tutorials/3_5_ideal_state.md @@ -0,0 +1,559 @@ +# Part 3.5: Ideal State - Multi-Turn Tool Calling with Forge + vLLM + OpenEnv + +For tool calling, we extend Forge's GRPO pattern to handle **multi-turn interactions** where: +- One task → multiple LLM generations + tool executions → one Episode +- Episode contains **concatenated tokens** from all turns +- Training and replay buffer logic remains unchanged + +**Key Principle:** Multi-turn only changes the **rollout phase**. Training stays the same. + +--- + +## Setup: Services + Multi-Environment Support + +```python +# Reference: Adapted from apps/grpo/main.py for multi-turn +# OpenEnv RFC 001: "We separate tasks from environments" + +# 1. Setup services (same as single-turn, plus environments) +policy = Generator(...) +trainer = TitanTrainer(...) +replay_buffer = ReplayBuffer(...) +ref_model = ReferenceModel(...) + +# Dataloader provides tasks (prompts + metadata) +# Reference: OpenEnv/rfcs/001-abstractions.md:308-381 +dataloader = DataLoader(Tau2BenchDataset(...)) + +# NEW: Environment map for multiple task types +# Different environments = different tools, max_turns, rewards +# Reference: verifiers/envs/env_group.py:218-266 (task-based routing) +env_map = { + "websearch": WebSearchEnv.from_docker_image("tau2bench/websearch:latest"), + "coding": CodingEnv.from_docker_image("tau2bench/coding:latest"), + "airline": AirlineEnv.from_docker_image("tau2bench/airline:latest"), +} + +# Environment-specific configuration +max_turns_config = { + "websearch": 10, + "coding": 15, + "airline": 8, +} +``` + +**Why environment map?** Tau2Bench has multiple domains with different tools. Tasks include a `task_type` field to route to the correct environment. + +**References:** +- Verifiers: `verifiers/envs/env_group.py` (EnvGroup pattern) +- Tinker: `tinker-cookbook/distillation/datasets.py:45-83` (CompositeDataset) + +--- + +## Rollout Loop: Multi-Turn with Environment Routing + +```python +# 2. Rollout loop (continuous_rollouts with multi-turn) +async def continuous_rollouts(): + while True: + # Sample task from dataloader + task = await dataloader.sample.call_one() + # task.prompt: "Book a flight from SF to NYC on March 15th" + # task.task_type: "websearch" | "coding" | "airline" + # task.metadata: Additional task-specific info + + # Route to correct environment based on task type + env_client = env_map[task.task_type] + max_turns = max_turns_config[task.task_type] + + # Reset environment to get tools (env doesn't know the task) + # Reference: OpenEnv/src/core/http_env_client.py:142-154 + env_state = env_client.reset() + tool_schemas = env_state.observation.tools # Available tools for this env + + # Generate G samples for this task + # TODO: Investigate parallelizing with asyncio.gather() instead of sequential + episodes = [] + for _ in range(group_size): # G samples per task + episode = await play_task( + policy=policy, + task_prompt=task.prompt, # From dataloader + tool_schemas=tool_schemas, # From environment + env=env_client, + max_turns=max_turns + ) + episodes.append(episode) + + # Add to replay buffer (same as single-turn) + for episode in episodes: + await replay_buffer.add.call_one(episode) +``` + +**Key differences from single-turn:** + +| Aspect | Single-Turn (GSM8K) | Multi-Turn (Tau2Bench) | +|--------|---------------------|------------------------| +| **Dataloader** | ✅ `DataLoader(GSM8K)` | ✅ `DataLoader(Tau2Bench)` | +| **Task routing** | N/A | `env_map[task.task_type]` | +| **Environment** | None | `env.reset()` provides tools | +| **Generation** | One `policy.generate()` | Loop of `policy.generate()` calls | +| **Actions** | None | `env.step(ToolCallAction)` | +| **Episode tokens** | `response.token_ids` | Concatenated: `llm + tool + llm + ...` | +| **Reward** | `reward_actor.evaluate()` | `env.step().reward` | + +**Critical insight:** Dataset provides tasks, environment provides tools. They are separate. + +--- + +## Multi-Turn Rollout: play_task() + +This replaces the single `policy.generate()` call in single-turn GRPO. + +```python +# Reference: OpenEnv/src/core/client_types.py (StepResult) +from openenv.core.client_types import StepResult +from openenv.core.env_server import ToolCallAction + +async def play_task( + policy: Generator, + task_prompt: str, # From dataloader + tool_schemas: list[dict], # From env.reset() + env: OpenEnvClient, + max_turns: int = 10 +) -> Episode: + """ + Play one task to completion, return single Episode. + + Args: + policy: Generator actor for LLM generation + task_prompt: Task from dataloader (e.g., "Book flight SF->NYC") + tool_schemas: Available tools from env.reset() + env: Environment client for tool execution + max_turns: Maximum conversation turns + + Returns: + Episode with all turns concatenated + """ + + # Initialize conversation with task + # System prompt handled by tokenizer.apply_chat_template() with tools= + # Or dataset can provide task.system_prompt if needed + messages = [{"role": "user", "content": task_prompt}] + + # Storage: concatenate all turns into single sequence + all_tokens = [] + all_logprobs = [] + response_mask = [] # 1=train on LLM output, 0=skip tool results + metadata = {} # Track episode stats + + done = False + turn = 0 + + while not done and turn < max_turns: + # 1. Format prompt with conversation history + tools + # Tokenizer injects system prompt with tool definitions when tools= is passed + prompt = tokenizer.apply_chat_template( + messages, + tools=tool_schemas, # From env.reset() + add_generation_prompt=True, + tokenize=False + ) + + # 2. Generate response + response = await policy.generate.route(prompt, n=1) + + # 3. Parse tool call from response + # Using Tinker pattern: XML tags ... + # Alternative: vLLM native parsing with tool_call_parser="hermes" (see Appendix) + tool_calls = parse_tool_calls(response.text) # Returns list of tool calls + + if tool_calls: + # Tool execution path + # Add assistant message with tool calls + messages.append({ + "role": "assistant", + "content": response.text, + "tool_calls": tool_calls # Structured tool call data + }) + + # Collect LLM output tokens - TRAIN on these + all_tokens.extend(response.token_ids) + all_logprobs.extend(response.logprobs) + response_mask.extend([1] * len(response.token_ids)) + + # Execute tools (parallel if multiple calls) + # TODO: Confirm environment can handle parallel requests + try: + tool_tasks = [ + env.execute_tool(tc["name"], tc["args"]) + for tc in tool_calls + ] + tool_results = await asyncio.gather(*tool_tasks) + except Exception as e: + # Handle tool execution errors + tool_results = [{"content": f"Error: {str(e)}"}] + + # Add tool results to messages and tokens + for tool_result in tool_results: + tool_content = tool_result.content + + # Truncate long tool responses to avoid context overflow + tool_tokens = tokenizer.encode(tool_content, add_special_tokens=False) + tool_tokens = truncate(tool_tokens, max_length=256) + # TODO: Decide where truncate() lives (env vs rollout loop vs utility) + tool_content = tokenizer.decode(tool_tokens) + + # Add tool result to messages + messages.append({ + "role": "tool", + "content": tool_content + }) + + # Collect tool result tokens - DON'T TRAIN on these + all_tokens.extend(tool_tokens) + all_logprobs.extend([0.0] * len(tool_tokens)) + response_mask.extend([0] * len(tool_tokens)) + + # Check if environment signals done + done = tool_results[-1].get("done", False) if tool_results else False + + else: + # Final answer (no tool call) + messages.append({ + "role": "assistant", + "content": response.text + }) + + # Collect final response tokens - TRAIN on these + all_tokens.extend(response.token_ids) + all_logprobs.extend(response.logprobs) + response_mask.extend([1] * len(response.token_ids)) + + done = True + + turn += 1 + + # Populate episode metadata + metadata = { + "num_turns": turn, + "truncated": turn >= max_turns, + # See Appendix for full metadata fields + } + + # Get final reward from environment + # In single-turn: reward_actor.evaluate_response() + # In multi-turn: environment state + final_reward = env.get_reward() # 1.0 or 0.0 + + # Create Episode (same structure as single-turn) + # Reference: apps/grpo/main.py:44-75 + completion = Completion( + prompt_ids=None, # Not stored (can reconstruct from messages) + token_ids=torch.tensor(all_tokens), + logprobs=torch.tensor(all_logprobs), + text=tokenizer.decode(all_tokens), + generator_version=0 + ) + + episode = Episode( + episode_id=str(uuid.uuid4()), + pad_id=tokenizer.pad_token_id or tokenizer.eos_token_id, + request_len=0, # Varies per turn, not fixed + response_len=len(all_tokens), + target=None, # Tau2Bench doesn't expose ground truth during training + completion=completion, + response_mask=torch.tensor(response_mask), # NEW: Mask for training + ref_logprobs=None, # Computed later by ref_model + reward=final_reward, + advantage=None, # Computed later with group + metadata=metadata # NEW: Episode statistics + ) + + return episode +``` + +**Key details:** + +1. **Tool call parsing:** Uses `parse_tool_calls()` to extract tool calls from text. Can use vLLM native parsing (see Appendix). + +2. **Response mask:** Critical for multi-turn. Marks which tokens to train on: + - `1` = LLM output (train on these) + - `0` = Tool results (don't train on these) + +3. **Truncation:** Long tool responses truncated to avoid exceeding context limits. + +4. **Error handling:** Tool execution wrapped in try/except. Errors added as tool messages. + +5. **Parallel tools:** Multiple tool calls in single response executed concurrently with `asyncio.gather()`. + +6. **Metadata:** Track episode stats (num_turns, truncation, etc.) for analysis. + +**References:** +- Tinker: `tinker-cookbook/recipes/tool_use/search/search_env.py` (multi-turn loop) +- VERL: `verl/experimental/agent_loop/tool_agent_loop.py` (parallel tools, truncation) +- TRL: `trl/examples/scripts/openenv/catch.py` (token concatenation) + +--- + +## Training Loop: Response Mask Integration + +```python +# Reference: apps/grpo/main.py + +# 3. Training loop (minimal changes - just add response_mask) +async def continuous_training(): + while True: + # Sample batch from replay buffer + batch = await replay_buffer.sample(batch_size) + + # Get reference logprobs + ref_logprobs = await ref_model.forward.route( + prompt_ids=batch["prompt_ids"], + response_ids=batch["response_ids"] + ) + + # Compute advantages (group-relative) + advantages = compute_group_advantages(batch["rewards"]) + + # Train on batch with response mask + await trainer.train_step( + inputs=batch["prompt_ids"], + targets=batch["response_ids"], + advantages=advantages, + ref_logprobs=ref_logprobs, + response_mask=batch["response_mask"], # NEW: Mask tool results + ) + + # Update policy weights + version = await trainer.push_weights() + await policy.update_weights(version) +``` + +**What changed:** Added `response_mask` parameter to `trainer.train_step()`. The trainer applies the mask during loss computation to zero out gradients for tool result tokens. + +**References:** +- VERL: `verl/trainer/ppo/core_algos.py:787-808` (masked loss aggregation) +- Verifiers: `mask_env_responses` flag in processing + +--- + +## Complete Flow Diagram + +``` +┌─────────────────────────────────────────────────────────────┐ +│ SINGLE-TURN (GSM8K) │ +├─────────────────────────────────────────────────────────────┤ +│ │ +│ dataloader.sample() ──→ task.prompt │ +│ ↓ │ +│ policy.generate(task.prompt, n=G) ──→ [responses 1..G] │ +│ ↓ │ +│ create Episode(response) │ +│ ↓ │ +│ replay_buffer.add(episode) │ +│ │ +└─────────────────────────────────────────────────────────────┘ + +┌─────────────────────────────────────────────────────────────┐ +│ MULTI-TURN (TAU2BENCH) │ +├─────────────────────────────────────────────────────────────┤ +│ │ +│ dataloader.sample() ──→ task (prompt + task_type) │ +│ ↓ │ +│ env = env_map[task.task_type] ──→ route to environment │ +│ env.reset() ──→ tool_schemas │ +│ ↓ │ +│ FOR i in 1..G: │ +│ play_task(task.prompt, tool_schemas, env): │ +│ messages = [user: task.prompt] │ +│ WHILE not done AND turn < max_turns: │ +│ prompt = apply_chat_template(messages, tools) │ +│ response = policy.generate(prompt) │ +│ tool_calls = parse_tool_calls(response) │ +│ IF tool_calls: │ +│ results = asyncio.gather(*[env.execute_tool(...)])│ +│ messages.append(assistant, tool_results) │ +│ all_tokens += [llm_tokens] + [tool_tokens] │ +│ response_mask += [1, 1, ...] + [0, 0, ...] │ +│ ELSE: │ +│ done = True │ +│ turn += 1 │ +│ create Episode(all_tokens, response_mask, reward) │ +│ ↓ │ +│ replay_buffer.add(episode) │ +│ ↓ │ +│ trainer.train_step(..., response_mask=mask) │ +│ │ +└─────────────────────────────────────────────────────────────┘ +``` + +**Key components:** +- **Task routing:** `env_map[task.task_type]` selects environment +- **Tool schemas:** From `env.reset()`, passed to tokenizer +- **Token concatenation:** All turns merged into single sequence +- **Response mask:** Separates LLM output (train) from tool results (skip) +- **Training:** Same GRPO logic, just with mask applied + +--- + +## Appendix + +### A. Generation Arguments + +Full parameter list for `policy.generate.route()`: + +```python +response = await policy.generate.route( + prompt, + n=1, + # Stop conditions + stop_strings=["", "<|im_end|>"], + stop_token_ids=[tokenizer.eos_token_id], + # Sampling + temperature=0.7, + top_p=0.95, + max_tokens=512, +) +``` + +**References:** +- NeMo-RL: `RL/nemo_rl/models/generation/interfaces.py:127-128` +- NeMo-RL: `RL/nemo_rl/experience/rollouts.py:280,291` (dynamic stop strings) + +--- + +### B. vLLM Configuration Flags + +Enable native tool calling and performance optimizations: + +```python +policy = Generator( + model="Qwen/Qwen2.5-7B-Instruct", + engine_args={ + # Tool calling support (alternative to text parsing) + "enable_auto_tool_choice": True, + "tool_call_parser": "hermes", # or "mistral", "llama" + + # Performance + "enable_prefix_caching": True, # Cache prompt prefixes (helps multi-turn!) + "gpu_memory_utilization": 0.9, + "max_model_len": 4096, + } +) +``` + +**What these do:** +- `enable_auto_tool_choice`: vLLM parses tool calls from model output automatically +- `tool_call_parser`: Format parser (model-specific) +- `enable_prefix_caching`: Reuses cached prompts across turns (major speedup!) + +**References:** +- PRIME-RL: `prime-rl/examples/wiki_search/rl.toml` +- NeMo-RL: `async_engine: true` for pipelining + +--- + +### C. Episode Metadata (Full Fields) + +Complete metadata dictionary for debugging and analysis: + +```python +metadata = { + # Basic stats + "num_turns": turn, + "num_tool_calls": tool_call_count, + + # Termination + "truncated": turn >= max_turns, + "termination_reason": "max_turns" | "done" | "error", + + # Performance + "total_tokens": len(all_tokens), + "prompt_tokens": sum(len(m["content"]) for m in messages if m["role"] != "assistant"), + "response_tokens": len(all_tokens), + + # Task info + "task_type": task.task_type, + "env_name": env_client.name, +} +``` + +**References:** +- NeMo-RL: `RL/nemo_rl/experience/rollouts.py:512,523-526` +- Tinker: `Transition.metrics` + +--- + +### D. Tool Call Parsing Formats + +**Tinker pattern (XML tags):** +```python +def parse_tool_calls(response_text: str) -> list[dict]: + """Parse tool calls from ... tags.""" + matches = re.findall(r"(.*?)", response_text, re.DOTALL) + tool_calls = [] + for match in matches: + try: + tool_calls.append(json.loads(match)) + except json.JSONDecodeError: + continue + return tool_calls +``` + +**vLLM native (Hermes format):** +```python +# If enable_auto_tool_choice=True, response has structured tool_calls +if hasattr(response, 'tool_calls') and response.tool_calls: + return [ + { + "name": tc.name, + "args": json.loads(tc.arguments) + } + for tc in response.tool_calls + ] +``` + +**References:** +- Tinker: `tinker-cookbook/recipes/tool_use/search/search_env.py` +- PRIME-RL: Uses vLLM native parsing + +--- + +### E. System Prompt Options + +**Option 1: Dataset provides system prompt** +```python +# Task includes system_prompt field +messages = [ + {"role": "system", "content": task.system_prompt}, + {"role": "user", "content": task_prompt} +] +``` + +**Option 2: Tokenizer injects system prompt** +```python +# Tokenizer handles system prompt when tools= is passed +messages = [{"role": "user", "content": task_prompt}] +prompt = tokenizer.apply_chat_template( + messages, + tools=tool_schemas, # Tokenizer adds system message with tool definitions + add_generation_prompt=True, + tokenize=False +) +``` + +**Recommendation:** Use Option 2 if your tokenizer supports it. Otherwise, have dataset provide system prompts per task type. + +--- + +## Summary: What Changed for Multi-Turn + +| Component | Single-Turn | Multi-Turn | +|-----------|-------------|------------| +| **Setup** | `env_client` (single) | `env_map` (multiple envs) | +| **Rollout** | `policy.generate()` once | `play_task()` with loop | +| **Episode tokens** | `response.token_ids` | Concatenated across turns | +| **Episode fields** | Basic | + `response_mask`, `metadata` | +| **Training** | `train_step(...)` | + `response_mask` parameter | + +**Everything else stays the same:** Replay buffer, reference model, advantage computation, weight updates. diff --git a/brainstorming_forge_tau/tutorials/4_complete_loop_components_v1.md b/brainstorming_forge_tau/tutorials/4_complete_loop_components_v1.md new file mode 100644 index 000000000..bf932c6c4 --- /dev/null +++ b/brainstorming_forge_tau/tutorials/4_complete_loop_components_v1.md @@ -0,0 +1,722 @@ +# Part 4: Complete Multi-Turn Tool Calling Loop (Components) + +This part breaks down all 8 components needed for multi-turn tool calling. + +## 4.0 Generator Options: Internal vs External vLLM + +You have three options for running vLLM: + +### Option A: Forge Generator (Internal vLLM) ✅ **Recommended** + +**How it works:** +- vLLM engine runs **inside Forge** as a distributed actor +- Allocated to its own GPUs via Monarch process mesh +- Communication via **async actor calls** (not HTTP) +- This is what Forge currently does + +```python +# apps/grpo/main.py +policy = Generator( + model_path="Qwen/Qwen2.5-1.5B-Instruct", + engine_args={...} +) + +# Generate +response = await policy.generate.route(prompt) +``` + +**Pros:** +- Efficient (no HTTP overhead) +- Integrated with Forge's distributed system +- GPU allocation handled automatically + +**Cons:** +- Less flexible for debugging +- Harder to inspect intermediate states + +### Option B: External vLLM Server (Separate Process) + +**How it works:** +- vLLM runs as independent HTTP server (separate process) +- Forge sends blocking or async HTTP requests +- Used by TRL examples + +```python +# Start vLLM server separately: +# $ vllm serve Qwen/Qwen2.5-1.5B-Instruct --port 8000 + +# In your code: +import requests + +response = requests.post( + "http://localhost:8000/v1/completions", + json={ + "model": "Qwen/Qwen2.5-1.5B-Instruct", + "prompt": prompt, + "max_tokens": 512 + } +) +``` + +**Pros:** +- Easy to debug (inspect server logs) +- Can restart server without restarting training +- Separation of concerns + +**Cons:** +- HTTP overhead +- Separate GPU allocation needed +- More complex setup + +### Option C: Hybrid + +Use external for debugging/exploration, internal for production training. + +**All examples in this tutorial use Option A (Forge Generator).** We'll note where Option B could be used. + +## 4.1 Overview: The Complete Loop + +```python +async def play_task(task, policy, tokenizer, env, max_turns=10): + """Complete multi-turn tool calling loop.""" + + # 1. Episode Initialization + env_result = env.reset(task=task) + messages = [{"role": "user", "content": task}] + done = False + turn = 0 + + # Storage for episode + all_tokens = [] + all_logprobs = [] + response_mask = [] + + while not done and turn < max_turns: + # 2. Prompt Formatting + prompt = tokenizer.apply_chat_template( + messages, + tools=env.get_tools(), # Tool definitions + add_generation_prompt=True + ) + + # 3. Generation & Parsing + response = await policy.generate.route(prompt) + tool_call = parse_tool_call(response.text) + + # 4. Tool Execution (if tool call) + if tool_call: + result = env.execute_tool(tool_call) + messages.append({"role": "assistant", "tool_calls": [tool_call]}) + messages.append({"role": "tool", "content": result}) + + # 5. Token Collection (concatenate) + all_tokens.extend(response.token_ids) + all_logprobs.extend(response.logprobs) + response_mask.extend([1] * len(response.token_ids)) # Train on LLM output + + tool_tokens = tokenizer.encode(result) + all_tokens.extend(tool_tokens) + response_mask.extend([0] * len(tool_tokens)) # DON'T train on tool result + else: + # Final answer + messages.append({"role": "assistant", "content": response.text}) + all_tokens.extend(response.token_ids) + all_logprobs.extend(response.logprobs) + response_mask.extend([1] * len(response.token_ids)) + done = True + + turn += 1 + + # 6. Reward Computation + reward = env.get_final_reward() + + # 7. Create Episode + episode = Episode( + token_ids=all_tokens, + logprobs=all_logprobs, + response_mask=response_mask, + reward=reward + ) + + return episode +``` + +Let's break down each component. + +## 4.2 Component 1: Episode Initialization + +**Option A: From environment** +```python +env = OpenEnv(base_url="http://localhost:8001") +result = env.reset(task_id="create_task_1", domain="mock") + +# result.observation contains initial state +messages = [{"role": "user", "content": result.observation.info_state}] +``` + +**Option B: From task data** +```python +task_data = load_task("tau2bench/mock/create_task_1.json") +messages = [ + {"role": "system", "content": format_system_prompt(task_data["tools"])}, + {"role": "user", "content": task_data["ticket"]} +] +``` + +**Pros/Cons:** +- **Option A**: Cleaner, environment handles state +- **Option B**: More control, can customize prompts + +## 4.3 Component 2: Prompt Formatting with Tools + +### Option A: Manual Chat Template + +```python +def format_prompt(messages, tools): + # Build system prompt + tool_schemas = "\n".join([f"- {t['name']}: {t['description']}" for t in tools]) + system = f"You have access to:\n{tool_schemas}\nUse format: {{...}}" + + # Apply chat template + full_messages = [{"role": "system", "content": system}] + messages + return tokenizer.apply_chat_template(full_messages, add_generation_prompt=True) +``` + +### Option B: Renderer Pattern (Tinker) 🎯 + +**Clean abstraction for prompt formatting:** + +```python +# tinker_cookbook/renderers.py +class Renderer: + def build_generation_prompt(self, messages): + """Convert messages to tokenized prompt.""" + prompt_text = self.tokenizer.apply_chat_template( + messages, + tokenize=False, + add_generation_prompt=True + ) + tokens = self.tokenizer.encode(prompt_text) + return ModelInput(prompt=prompt_text, tokens=tokens) + + def parse_response(self, tokens): + """Parse model output to Message.""" + text = self.tokenizer.decode(tokens) + + # Check for tool calls + if "" in text: + tool_call = self._parse_tool_call(text) + return Message(role="assistant", tool_calls=[tool_call]) + else: + return Message(role="assistant", content=text) +``` + +**Why Tinker's approach is good:** +- Separation of concerns (rendering vs logic) +- Reusable across tasks +- Easy to test +- Handles tokenization details + +### Option C: vLLM Native (Verifiers) + +```python +# vLLM handles tool formatting automatically +prompt = tokenizer.apply_chat_template( + messages, + tools=tool_schemas, # Pass tools to tokenizer + add_generation_prompt=True +) +# vLLM formats tools based on model type +``` + +**When to use each:** +- **Manual**: Full control, debugging +- **Renderer** 🎯: Clean architecture, reusability +- **vLLM Native**: Model supports it, production-ready + +## 4.4 Component 3: Generation, Parsing, and Concurrency + +### Calling the Generator + +**Forge Generator (async):** +```python +response = await policy.generate.route( + prompt, + sampling_params={ + "temperature": 0.7, + "max_tokens": 512 + } +) +``` + +### Parsing Tool Calls + +**Text parsing (regex):** +```python +def parse_tool_call(text): + match = re.search(r'(.*?)', text) + if match: + return json.loads(match.group(1)) + return None +``` + +**Tag-based (Qwen example):** +```python +# tinker_cookbook/renderers.py +def parse_response(self, text): + match = re.search(r"(.*?)", text, re.DOTALL) + if match: + try: + tool_call = json.loads(match.group(1)) + return Message(role="assistant", tool_calls=[tool_call]) + except json.JSONDecodeError: + return Message(role="assistant", content=text) + return Message(role="assistant", content=text) +``` + +**Native (vLLM auto-parsing):** +```python +# response.choices[0] already has tool_calls populated by vLLM +if response.choices[0].message.tool_calls: + tool_call = response.choices[0].message.tool_calls[0] +``` + +**Note on `response.choices[0]`:** +- `generate()` can return N samples when `n > 1` +- We typically use first sample (`[0]`) in rollout +- For GRPO, we generate multiple samples per prompt (group_size) + +### vLLM Configuration Flags + +**For Forge Generator (Option A):** +```yaml +# apps/tau2bench/grpo/config.yaml +policy: + engine_args: + model: "Qwen/Qwen2.5-1.5B-Instruct" + + # Tool calling support + enable_auto_tool_choice: true # vLLM parses tool calls automatically + tool_call_parser: "hermes" # Format: hermes/mistral/llama/internlm + + # Performance + tensor_parallel_size: 1 + gpu_memory_utilization: 0.9 + enable_prefix_caching: true # Helps with multi-turn! +``` + +**Flag meanings:** +- `enable_auto_tool_choice`: Enables native tool call parsing +- `tool_call_parser`: Specifies parser format (model-dependent) +- `async_engine`: Enables AsyncLLM engine + # TODO: need to confirm if what we are doing is compatible with this + # TODO: explain why this would be helpful at all + +### Sample-Level Concurrency + +**Sequential (simple):** +```python +episodes = [] +for task in tasks: + episode = await play_task(task, ...) + episodes.append(episode) +``` + +**Parallel:** +```python +# Process all tasks concurrently +tasks_coroutines = [ + play_task(task, ...) + for task in tasks +] +episodes = await asyncio.gather(*tasks_coroutines) +``` + +**Performance benefit:** +- While Sample 1 waits for tool execution, Sample 2/3/4 continue generating +- Can achieve 2-4x speedup with variable-length episodes + +## 4.5 Component 4: Tool Execution + +### Tool Definition Approaches + +**Type-hinted Python functions (Verifiers)** 🎯: +```python +async def search_wiki(query: str) -> list[str]: + """Search Wikipedia for articles. + + Args: + query: Search query string + + Returns: + List of article titles + """ + return wikipedia.search(query) + +# Auto-convert to schema +tool_schema = convert_func_to_oai_tool(search_wiki) +``` + +**Tinker's approach** 🎯: +```python +# tinker_cookbook/recipes/tool_use/search/tools.py +class ToolClientInterface(ABC): + @abstractmethod + def get_tool_schemas(self) -> list[dict]: + """Returns tool definitions""" + ... + + @abstractmethod + async def invoke(self, tool_call: ToolCall) -> list[Message]: + """Executes tool and returns results""" + ... +``` + +**Manual schemas:** +```python +tools = [ + { + "name": "create_task", + "description": "Create a new task", + "parameters": { + "type": "object", + "properties": { + "user_id": {"type": "string"}, + "title": {"type": "string"} + }, + "required": ["user_id", "title"] + } + } +] +``` + +### Execution Patterns + +**Sequential:** +```python +for tool_call in tool_calls: + result = await execute_tool(tool_call) + results.append(result) +``` + +**Parallel:** +```python +# Execute all tools concurrently +tasks = [execute_tool(tc) for tc in tool_calls] +results = await asyncio.gather(*tasks) +``` + +**When parallel matters:** +- ✅ **Good for**: I/O-bound tools (API calls, database queries) +- ⚠️ **OK for**: Fast tools, debugging, simple cases (sequential is fine) + +## 4.6 Component 5: Message History Management + +### Explicit List Pattern (Tinker) + +```python +# tinker_cookbook/recipes/tool_use/search/search_env.py +class SearchEnv: + def __init__(self, ...): + self.past_messages: list[Message] = [] + + async def step(self, action): + # Parse response + message = self.renderer.parse_response(action) + self.past_messages.append(message) + + # Execute tools if needed + if "tool_calls" in message: + tool_result = await execute_tool(...) + self.past_messages.extend(tool_result) + + # Build next prompt + next_prompt = self.renderer.build_generation_prompt(self.past_messages) + return StepResult(next_observation=next_prompt, ...) +``` + +### Concatenated Storage (TRL, NeMo-RL) + +```python +# TRL pattern: concatenate all tokens +episode_tokens = [] +episode_logprobs = [] + +for turn in turns: + response = generate(...) + episode_tokens.extend(response.token_ids) # Concatenate + episode_logprobs.extend(response.logprobs) +``` + +### Token ID Storage in Messages (NeMo-RL) + +```python +# RL/nemo_rl/experience/rollouts.py +messages = [ + { + "role": "user", + "content": "Task prompt", + "token_ids": [101, 102, 103, ...] + }, + { + "role": "assistant", + "content": "Tool call...", + "token_ids": [345, 346, ...], + "generation_logprobs": [-0.1, -0.2, ...] + } +] +``` + +**Comparison:** + +| Approach | Pros | Cons | Use When | +|----------|------|------|----------| +| Explicit list | Clean, debuggable | Requires conversion | Research, clean code | +| Concatenated | Simple, direct | Hard to debug | Simple prototypes | +| Token IDs in msgs | Preserves structure | More complex | Production, flexibility | + +## 4.7 Component 6: Token Collection, Episode Storage, and Response Masking + +### Why Masking Matters + +**Problem**: Tool results are not model-generated, so we shouldn't train on them. + +```python +# Multi-turn episode: +Turn 1: User: "Create task" +Turn 2: Model: create_task(user_id="user_1", ...) # TRAIN on this +Turn 3: Tool: {"status": "success", "task_id": "task_123"} # DON'T TRAIN on this +Turn 4: Model: "Task created!" # TRAIN on this +``` + +**Without masking**: Model learns to predict tool results (impossible!) +**With masking**: Model only learns to predict its own outputs + +### Token Collection Strategies + +**Strategy A: Per-step Episodes** (simpler): +```python +# Each turn = separate Episode +episodes = [] +for step in game_steps: + episode = Episode( + game_id=game_id, + step_num=step_num, + completion=step["response"], + reward=final_game_reward # Same reward for all steps + ) + episodes.append(episode) +``` + +**Pros**: Simpler, matches Forge's current pattern +**Cons**: Can't share context between steps easily + +**Strategy B: Concatenated Episodes** (full trajectory): +```python +# All turns = one Episode +all_tokens = [] +all_logprobs = [] +response_mask = [] + +for turn in turns: + # LLM output + all_tokens.extend(llm_tokens) + all_logprobs.extend(llm_logprobs) + response_mask.extend([1] * len(llm_tokens)) # TRAIN + + # Tool result + all_tokens.extend(tool_tokens) + response_mask.extend([0] * len(tool_tokens)) # IGNORE + +episode = Episode( + token_ids=all_tokens, + logprobs=all_logprobs, + response_mask=response_mask, + reward=final_reward +) +``` + +**Pros**: Full trajectory, gradient flows through all turns +**Cons**: More complex + +### Building the Response Mask + +**During Rollout (VERL, NeMo-RL):** +```python +# verl/experimental/agent_loop/tool_agent_loop.py +response_mask = [] + +# LLM generates +agent_data.response_ids = output.token_ids +response_mask.extend([1] * len(agent_data.response_ids)) # TRAIN + +# Tool executes +tool_result_ids = tokenizer.encode(tool_result) +response_mask.extend([0] * len(tool_result_ids)) # DON'T TRAIN +``` + +**During Processing (Verifiers, Tinker)**: + +Tinker's trajectory→data conversion: + +```python +# tinker_cookbook/rl/data_processing.py +def trajectory_to_data(traj: Trajectory): + mask = [] + advantages = [] + + for transition in traj.transitions: + obs_len = len(transition.ob.tokens) # Environment observation + ac_len = len(transition.ac.tokens) # LLM action + + # Build mask + mask.extend([0.0] * obs_len) # DON'T train on observations + mask.extend([1.0] * ac_len) # TRAIN on actions + + # Assign advantages + advantages.extend([0] * obs_len) + advantages.extend([traj_advantage] * ac_len) + + return Datum( + model_input=input_tokens, + loss_fn_inputs={ + "mask": mask, + "advantages": advantages + } + ) +``` + +**Why Tinker's approach is good:** 🎯 +- Clean separation: rollout phase vs data processing phase +- Reusable across RL algorithms +- Easy to test and debug +- Explicit trajectory structure + +### Episode Storage Patterns + +**Forge-compatible Episode:** +```python +@dataclass +class Episode: + episode_id: str + + # Token data + token_ids: list[int] # Concatenated all turns + logprobs: list[float] # Per-token logprobs + response_mask: list[int] # 1=train, 0=ignore + + # Metadata + reward: float + num_turns: int + task_id: str + + # Optional: store messages for debugging + messages: list[dict] = None +``` + +## 4.8 Component 7: Reward Computation + +### Sparse Rewards (Tau2Bench, most RL) + +```python +# All intermediate steps: reward = 0.0 +for turn in range(max_turns): + if done: + break + response = generate(...) + env_result = env.step(response) + intermediate_reward = 0.0 # No reward yet + +# Final step: get actual reward +final_reward = env.get_final_reward() # 0.0 or 1.0 +``` + +### Dense Rewards (per-step shaping) + +```python +# OpenEnv/examples/grpo_blackjack/grpo_utils.py +final_game_reward = result.reward # +1, -1, or 0 + +# Optional: reward shaping +shaped_reward = final_game_reward +if final_game_reward > 0: + shaped_reward += 0.1 * num_correct_actions # Bonus for good actions +``` + +### Multiple Reward Signals (TRL pattern) + +```python +# trl/examples/scripts/openenv/wordle.py +def reward_correct(completions, **kwargs): + return kwargs.get("correct_reward", [0.0] * len(completions)) + +def reward_greens(completions, **kwargs): + return kwargs.get("green_reward", [0.0] * len(completions)) + +# In trainer +trainer = GRPOTrainer( + reward_funcs=[reward_correct, reward_greens], + reward_weights=[1.0, 0.5] # Weight each signal +) + +# Total reward = 1.0 * correct + 0.5 * greens +``` + +## 4.9 Component 8: Environment Integration + +### OpenEnv vs ToolEnv Comparison + +| Feature | OpenEnv | ToolEnv (Verifiers) | +|---------|---------|---------------------| +| **Purpose** | General environments | Tool calling tasks | +| **API** | Docker HTTP | Python functions | +| **Tools** | Environment-specific | Type-hinted functions | +| **Setup** | Docker containers | pip install | +| **Use for** | Training (flexible) | Evaluation (clean) | + +### Tinker's Environment API 🎯 + +```python +# tinker_cookbook/rl/environments.py +class Environment(ABC): + @abstractmethod + async def initial_observation(self) -> tuple[Observation, StopCondition]: + """Start episode, return initial state""" + ... + + @abstractmethod + async def step(self, action: Action) -> StepResult: + """Execute action, return result""" + ... + +@dataclass +class StepResult: + reward: float + episode_done: bool + next_observation: Observation + metrics: dict = field(default_factory=dict) +``` + +**Why Tinker's API is good:** 🎯 +- Standard gym-like interface +- Clear data structures +- Easy to implement new environments +- Separation of concerns + +### When to Use Each + +**Use OpenEnv when:** +- Training on diverse tasks +- Need sandboxed execution +- Want flexibility + +**Use ToolEnv when:** +- Evaluating on specific benchmarks +- Tools are Python functions +- Want clean, simple setup + +**Note**: Core functions stay env-agnostic. Environment is injected at app level. + +--- + +**Next**: Part 5 shows complete architectural patterns for Forge + Tau2Bench + OpenEnv. diff --git a/brainstorming_forge_tau/tutorials/4_complete_loop_components_v2.md b/brainstorming_forge_tau/tutorials/4_complete_loop_components_v2.md new file mode 100644 index 000000000..b6063779c --- /dev/null +++ b/brainstorming_forge_tau/tutorials/4_complete_loop_components_v2.md @@ -0,0 +1,1483 @@ +# Part 4: Complete Multi-Turn Tool Calling Loop (Components) + +This part breaks down all components needed for multi-turn tool calling + +## 4.1 Overview: Multi-Turn Tool Calling in Forge + +This shows how multi-turn tool calling extends Forge's current GRPO architecture. + +### Current Forge GRPO Flow (Single-Turn) + +```python +# Reference: apps/grpo/main.py + +# 1. Setup services (distributed actors via Monarch) +policy = Generator(...) # vLLM-based generation +trainer = TitanTrainer(...) # Training service +replay_buffer = ReplayBuffer(...) # Store episodes +ref_model = ReferenceModel(...) # Reference for KL +reward_actor = RewardActor(...) # Score responses + +# 2. Rollout loop (continuous_rollouts) +async def continuous_rollouts(): + while True: + # Sample prompt from dataset + sample = await dataloader.sample.call_one() + prompt, target = sample["prompt"], sample["target"] + + # Generate G responses (group) + responses = await policy.generate.route( + prompt, + n=group_size # e.g., 8 responses + ) + + # Score and create episodes + episodes = [] + for response in responses: + episode = Episode( + prompt_ids=response.prompt_ids, + completion=response, + reward=compute_reward(response.text, target), + ... + ) + episodes.append(episode) + + # Add to replay buffer + for episode in episodes: + await replay_buffer.add.call_one(episode) +``` + +**Key property**: One prompt → one response → one Episode (single-turn) + +--- + +### Multi-Turn Extension: Tool Calling with OpenEnv + +For tool calling, we extend this pattern to handle **multi-turn interactions** where: +- One task → multiple LLM generations + tool executions → one Episode +- Episode contains **concatenated tokens** from all turns + +**Note on Multiple Environments**: Tau2Bench has multiple domains (airline, retail, etc.). See Section 4.9 for how to handle training on mixed environments with different tools, max_turns, and rewards per domain. + +```python +# Reference: Adapted from apps/grpo/main.py for multi-turn +# OpenEnv RFC 001: "We separate tasks from environments" + +# 1. Setup services (same as before, plus environment) +policy = Generator(...) +trainer = TitanTrainer(...) +replay_buffer = ReplayBuffer(...) +ref_model = ReferenceModel(...) + +# STILL HAVE DATALOADER! +# Reference: OpenEnv/rfcs/001-abstractions.md:308-381 (TaskDataset) +dataloader = DataLoader(Tau2BenchDataset(...)) + +# NEW: Environment client for tool execution +# OpenEnv runs in Docker, provides tools/execution/rewards +# NOTE: For multiple domains, see Section 4.9 (CompositeDataset pattern) +env_client = Tau2BenchEnv.from_docker_image("tau2bench/airline:latest") + +# 2. Rollout loop (continuous_rollouts with multi-turn) +async def continuous_rollouts(): + while True: + # --- SAME: Sample task from dataloader --- + # Reference: OpenEnv RFC 001: "when training, it comes from a dataset" + task = await dataloader.sample.call_one() + # task.prompt: "Book a flight from SF to NYC on March 15th" + # task.ground_truth: Expected outcome for eval + # task.metadata: Any task-specific info + + # --- NEW: Reset environment (doesn't know the task) --- + # Reference: OpenEnv/src/core/http_env_client.py:142-154 + # Environment provides tools, NOT the task description + env_state = env_client.reset() + tool_schemas = env_state.observation.tools # Available tools + + # --- DIFFERENCE: Multi-turn rollout (play_task) --- + # Generate G samples for this task + episodes = [] + for _ in range(group_size): # G samples per task + episode = await play_task( + policy=policy, + task_prompt=task.prompt, # From dataloader + tool_schemas=tool_schemas, # From environment + env=env_client, + max_turns=10 + ) + episodes.append(episode) + + # --- SAME: Add to replay buffer --- + for episode in episodes: + await replay_buffer.add.call_one(episode) +``` + +**Key differences from single-turn:** + +| Aspect | Single-Turn (GSM8K) | Multi-Turn (Tau2Bench) | +|--------|---------------------|------------------------| +| **Dataloader** | ✅ `DataLoader(GSM8K)` | ✅ `DataLoader(Tau2Bench)` (still there!) | +| **Task source** | `task.prompt` | `task.prompt` (same!) | +| **Environment** | None | `env.reset()` provides tools | +| **Generation** | One `policy.generate()` | Loop of `policy.generate()` calls | +| **Actions** | None | `env.step(ToolCallAction)` for tools | +| **Episode tokens** | `response.token_ids` | Concatenated: `llm + tool + llm + ...` | +| **Reward source** | `reward_actor.evaluate(task.ground_truth)` | `env.step().reward` | +| **Multiple domains** | N/A | See Section 4.9 for mixing airline/retail/etc. | + +**Critical insight from OpenEnv RFC 001**: +- "We separate tasks from environments" (line 68) +- "when training/testing, it comes from a dataset" (line 30) +- Dataset provides: task prompts, ground truth for eval +- Environment provides: tools, execution, rewards + +--- + +### Multi-Turn Rollout (play_task) + +This replaces the single `policy.generate()` call in single-turn GRPO. + +```python +# Reference: OpenEnv/src/core/client_types.py (StepResult), RFC 004 (ToolCallAction) +from openenv.core.client_types import StepResult +from openenv.core.env_server import ToolCallAction + +async def play_task( + policy: Generator, + task_prompt: str, # From dataloader + tool_schemas: list[dict], # From env.reset() + env: Tau2BenchEnv, + max_turns: int = 10 +) -> Episode: + """ + Play one task to completion, return single Episode. + + Args: + policy: Generator actor for LLM generation + task_prompt: Task description from dataloader (e.g., "Book flight SF->NYC") + tool_schemas: Available tools from env.reset() + env: Environment client for tool execution + max_turns: Maximum conversation turns + + Replaces: single policy.generate() call + Returns: Episode with all turns concatenated + """ + + # Initialize messages with task from dataloader + messages = [{"role": "user", "content": task_prompt}] + + # Storage: concatenate all turns into single sequence + all_tokens = [] + all_logprobs = [] + response_mask = [] # 1=train, 0=skip + + done = False + turn = 0 + + while not done and turn < max_turns: + # 1. Format prompt with full history + prompt = tokenizer.apply_chat_template( + messages, + tools=tool_schemas, # From env.reset() + add_generation_prompt=True, + tokenize=False + ) + + # 2. Generate (SAME as single-turn) + response = await policy.generate.route(prompt, n=1) + + # 3. Parse tool call + tool_call = parse_tool_call(response.text) + + if tool_call: + # Tool execution path + # 4. Execute via environment + action = ToolCallAction( + tool_name=tool_call["name"], + parameters=tool_call["args"] + ) + result = env.step(action) # HTTP call to OpenEnv server + + # 5. Update messages + messages.append({"role": "assistant", "content": response.text}) + messages.append({"role": "tool", "content": result.observation.content}) + + # 6. Collect tokens + # LLM output - TRAIN + all_tokens.extend(response.token_ids) + all_logprobs.extend(response.logprobs) + response_mask.extend([1] * len(response.token_ids)) + + # Tool result - DON'T TRAIN + tool_tokens = tokenizer.encode(result.observation.content, add_special_tokens=False) + all_tokens.extend(tool_tokens) + all_logprobs.extend([0.0] * len(tool_tokens)) + response_mask.extend([0] * len(tool_tokens)) + + done = result.done + else: + # Final answer + messages.append({"role": "assistant", "content": response.text}) + + all_tokens.extend(response.token_ids) + all_logprobs.extend(response.logprobs) + response_mask.extend([1] * len(response.token_ids)) + + done = True + + turn += 1 + + # 7. Get reward from environment + # NOTE: In single-turn, reward comes from reward_actor.evaluate_response() + # In multi-turn, reward comes from environment state + final_reward = result.reward # 1.0 or 0.0 + + # 8. Create Episode (SAME structure as single-turn) + # Reference: apps/grpo/main.py:44-75 + completion = Completion( + prompt_ids=torch.tensor(prompt_ids), + token_ids=torch.tensor(all_tokens), + logprobs=torch.tensor(all_logprobs), + text=tokenizer.decode(all_tokens), + generator_version=0 + ) + + episode = Episode( + episode_id=str(uuid.uuid4()), + pad_id=tokenizer.pad_token_id or tokenizer.eos_token_id, + request_len=len(prompt_ids), + response_len=len(all_tokens), + target=None, # Tau2Bench doesn't expose ground truth + completion=completion, + ref_logprobs=None, # Computed later by ref_model + reward=final_reward, + advantage=None # Computed later with group + ) + + return episode +``` + +**Comparison to single-turn:** + +| Aspect | Single-Turn (GSM8K) | Multi-Turn (Tau2Bench) | +|--------|---------------------|------------------------| +| **Prompt source** | `dataloader.sample()` | `env.reset()` | +| **Generation** | One `policy.generate()` | Loop of `policy.generate()` calls | +| **Actions** | None (just generate text) | `env.step(ToolCallAction)` | +| **Episode tokens** | `response.token_ids` | Concatenated: `llm_tokens + tool_tokens + llm_tokens + ...` | +| **Reward source** | `reward_actor.evaluate_response()` | `env.step().reward` | +| **Episode structure** | Same `Episode` object | Same `Episode` object | + +**Key insight**: Multi-turn just extends the **rollout** phase. Training, replay buffer, and everything else stays the same. + +--- + +### Complete Flow Diagram + +``` +┌─────────────────────────────────────────────────────────────┐ +│ SINGLE-TURN (GSM8K) │ +├─────────────────────────────────────────────────────────────┤ +│ │ +│ dataloader.sample() ──→ task.prompt │ +│ ↓ │ +│ policy.generate(task.prompt, n=G) ──→ [responses 1..G] │ +│ ↓ │ +│ create Episode(response) │ +│ ↓ │ +│ replay_buffer.add(episode) │ +│ │ +└─────────────────────────────────────────────────────────────┘ + +┌─────────────────────────────────────────────────────────────┐ +│ MULTI-TURN (TAU2BENCH) │ +├─────────────────────────────────────────────────────────────┤ +│ │ +│ dataloader.sample() ──→ task.prompt │ +│ env.reset() ──→ tool_schemas │ +│ ↓ │ +│ FOR i in 1..G: │ +│ play_task(task.prompt, tool_schemas): │ +│ messages = [user: task.prompt] │ +│ WHILE not done: │ +│ policy.generate(messages) ──→ response │ +│ IF tool_call: │ +│ env.step(action) ──→ tool_result │ +│ messages.append(response, tool_result) │ +│ ELSE: │ +│ done = True │ +│ create Episode(all_tokens, env.reward) │ +│ ↓ │ +│ replay_buffer.add(episode) │ +│ │ +└─────────────────────────────────────────────────────────────┘ +``` + +**Key components:** +- **Dataloader**: Still samples tasks in both cases +- **Environment**: New in multi-turn, provides tools + execution + rewards +- **play_task**: Combines task.prompt (dataloader) + tool_schemas (env) + +--- + +### Training Loop (No Changes) + +```python +# Reference: apps/grpo/main.py + +# 3. Training loop (SAME as single-turn) +async def continuous_training(): + while True: + # Sample batch from replay buffer + batch = await replay_buffer.sample(batch_size) + + # Get reference logprobs + ref_logprobs = await ref_model.forward.route( + prompt_ids=batch["prompt_ids"], + response_ids=batch["response_ids"] + ) + + # Compute advantages (group-relative) + advantages = compute_group_advantages(batch["rewards"]) + + # Train on batch + await trainer.train_step( + inputs=batch["prompt_ids"], + targets=batch["response_ids"], + advantages=advantages, + ref_logprobs=ref_logprobs + ) + + # Update policy weights + version = await trainer.push_weights() + await policy.update_weights(version) +``` + +**No changes needed**: Training doesn't care if Episode came from single-turn or multi-turn. It just sees token sequences. + +--- + +### Summary + +**What changes for multi-turn tool calling:** +1. ✅ **Add Environment**: `env.reset()` to get tool schemas, `env.step()` for execution +2. ✅ **Rollout**: Replace `policy.generate()` with `play_task()` loop +3. ✅ **Reward source**: `env.step().reward` instead of `reward_actor.evaluate()` + +**What stays the same:** +1. ✅ **Dataloader**: Still samples tasks from dataset (`task.prompt`, `task.ground_truth`) +2. ✅ **Services**: Generator, Trainer, ReplayBuffer, RefModel +3. ✅ **Episode structure**: Same `Episode` dataclass +4. ✅ **Training loop**: Same GRPO algorithm +5. ✅ **Infrastructure**: Same Monarch actors + +**Separation of concerns (OpenEnv RFC 001)**: +- **Dataloader**: Provides task prompts and ground truth +- **Environment**: Provides tools, execution sandbox, and rewards +- **Agent/Policy**: Manages conversation history, tokenization, generation + +**The pattern is extensible**: +- Single-turn = special case where `play_task()` does 1 iteration +- Multi-turn = generalization where `play_task()` does N iterations + +Let's break down each component in detail below. + +## 4.2 Component 1: Episode Initialization and Prompt Formatting + +### How Tasks and Environments Work + +**Key Concept:** The dataset/task and environment are separate: +- **Dataset**: Contains task descriptions (tickets, questions, etc.) +- **Environment**: Provides tool execution, state management, and rewards + +**Pattern:** +```python +# 1. Load dataset +dataset = load_dataset("tau2bench/airline") +task = dataset[0] # {"ticket": "...", "tools": [...], "target": "..."} + +# 2. Create environment (knows tools, not the specific task) +env = Tau2Env(domain="airline") + +# 3. Initialize episode with task +result = env.reset(task_id=task["id"]) +``` + +### Concrete Example: Same Task, Three Approaches + +We'll use this example task across all approaches: + +**Task:** +```python +task = { + "ticket": "Book a flight from SF to NYC on March 15th", + "tools": [ + { + "name": "search_flights", + "description": "Search for available flights", + "parameters": { + "type": "object", + "properties": { + "origin": {"type": "string"}, + "destination": {"type": "string"}, + "date": {"type": "string"} + }, + "required": ["origin", "destination", "date"] + } + }, + { + "name": "book_flight", + "description": "Book a specific flight", + "parameters": { + "type": "object", + "properties": { + "flight_id": {"type": "string"} + }, + "required": ["flight_id"] + } + } + ] +} +``` + +--- + +### Option A: vLLM Native (tokenizer.apply_chat_template) + +**Where does the template come from?** +The tokenizer contains a Jinja2 template file that defines how to format messages and tools. + +**Example for Qwen:** +```python +# Reference: Qwen tokenizer includes tokenizer_config.json with chat_template field +# The template is a Jinja2 string like: +# "{% for message in messages %}..." + +from vllm.transformers_utils.tokenizer import get_tokenizer + +# 1. Load tokenizer (contains Jinja2 template) +tokenizer = get_tokenizer("Qwen/Qwen2.5-1.5B-Instruct") + +# 2. Build messages +messages = [ + {"role": "user", "content": task["ticket"]} +] + +# 3. Apply template (Jinja2 renders messages + tools) +prompt_text = tokenizer.apply_chat_template( + messages, + tools=task["tools"], # Tools injected into template + add_generation_prompt=True, + tokenize=False +) + +# 4. Tokenize +prompt_ids = tokenizer.encode(prompt_text, add_special_tokens=True) +``` + +**What `prompt_text` looks like (Qwen format):** +``` +<|im_start|>system +You are Qwen, created by Alibaba Cloud. You are a helpful assistant. + +# Tools + +You may call one or more functions to assist with the user query. + +You are provided with function signatures within XML tags: + +{"name": "search_flights", "description": "Search for available flights", "parameters": {...}} +{"name": "book_flight", "description": "Book a specific flight", "parameters": {...}} + + +For each function call, return a json object with function name and arguments within XML tags: + +{"name": , "arguments": } +<|im_end|> +<|im_start|>user +Book a flight from SF to NYC on March 15th<|im_end|> +<|im_start|>assistant +``` + +**How it works:** +- Tokenizer's Jinja2 template formats messages + tools automatically +- Model-specific (Qwen format shown above; Llama3 would be different) +- Used by: Forge, VERL, PrimeRL + +--- + +### Option B: Manual System Prompt + Renderer (Thinker) + +**Where does the template come from?** +You define the system prompt manually, then use a Renderer to apply the model's chat format. + +```python +# Reference: tinker-cookbook/tinker_cookbook/recipes/tool_use/search/search_env.py:33-76 +from tinker_cookbook.renderers import Qwen3Renderer +from vllm.transformers_utils.tokenizer import get_tokenizer + +# 1. Define system prompt template (you control this) +SYSTEM_PROMPT = """You are an expert assistant who solves tasks using tools. + +Available tools: +{tool_descriptions} + +Use format: {{"name": "tool_name", "args": {{...}}}}""" + +# 2. Format tool descriptions +tool_descriptions = "\n".join([ + f"- {tool['name']}: {tool['description']}" + for tool in task["tools"] +]) +system_content = SYSTEM_PROMPT.format(tool_descriptions=tool_descriptions) + +# 3. Build messages +messages = [ + {"role": "system", "content": system_content}, + {"role": "user", "content": task["ticket"]} +] + +# 4. Use Renderer to apply Qwen's chat format +tokenizer = get_tokenizer("Qwen/Qwen2.5-1.5B-Instruct") +renderer = Qwen3Renderer(tokenizer) +model_input = renderer.build_generation_prompt(messages) +prompt_ids = model_input.tokens # Already tokenized +``` + +**What the formatted prompt looks like (via Renderer):** +``` +<|im_start|>system +You are an expert assistant who solves tasks using tools. + +Available tools: +- search_flights: Search for available flights +- book_flight: Book a specific flight + +Use format: {"name": "tool_name", "args": {...}}<|im_end|> +<|im_start|>user +Book a flight from SF to NYC on March 15th<|im_end|> +<|im_start|>assistant +``` + +**How it works:** +- You manually format tool descriptions into system prompt +- Renderer applies model-specific chat template (Qwen format shown) +- Reference: `tinker_cookbook.renderers.Qwen3Renderer._render_message` (lines 333-358) +- Used by: Thinker, Verifiers + +--- + +### Option C: Environment-Provided Template + +**Where does the template come from?** +The environment or task definition provides the system prompt. + +```python +# Reference: How Tau2Bench or Thinker datasets might work + +# 1. Task includes pre-formatted system prompt +task = { + "ticket": "Book a flight from SF to NYC on March 15th", + "system_prompt": "You are a travel booking assistant...", # Pre-defined + "tools": [...] +} + +# 2. Or environment provides system prompt +from tinker_cookbook.recipes.tool_use.search import SearchEnv + +env = SearchEnv( + problem=task["ticket"], + answer=task["target"], + tool_client=tool_client, + renderer=renderer +) + +# Environment's initial_observation includes formatted prompt +observation, stop_condition = await env.initial_observation() +prompt_ids = observation.tokens # Already includes system + user message +``` + +**What the environment does internally:** +```python +# Reference: tinker-cookbook/.../search_env.py:122-127 +class SearchEnv: + async def initial_observation(self): + # Environment builds messages with its own system prompt + messages = [ + {"role": "system", "content": self.SYSTEM_PROMPT}, # Env-defined + {"role": "user", "content": self.problem} + ] + return self.renderer.build_generation_prompt(messages), stop_condition +``` + +**How it works:** +- Environment encapsulates system prompt logic +- Cleaner for researchers (don't worry about prompts) +- Used by: Thinker's environments + +--- + +### Comparison Table + +| Approach | Template Source | Tool Schema Location | Formatting | Who Manages Prompt | +|----------|----------------|----------------------|------------|-------------------| +| **Option A: vLLM Native** | Tokenizer's Jinja2 file | `tools=...` param | Tokenizer | You call `apply_chat_template` | +| **Option B: Manual + Renderer** | You define SYSTEM_PROMPT | System message | Renderer class | You build messages | +| **Option C: Environment** | Environment class | Environment config | Renderer (inside env) | Environment | + +**Recommendation:** +- **Option A** for production (if tokenizer supports tools) +- **Option B** for research/flexibility (Thinker's approach) +- **Option C** for clean experiment code (hide prompt details) + +All three produce similar prompts, just at different abstraction levels. + +## 4.3 Component 2: Generation and Parsing + +### Generation (Forge) +```python +# Reference: apps/grpo/main.py:373 +# Forge uses async Generator actor +response = await policy.generate.route( + prompt, # Can be string or token IDs + sampling_params={ + "temperature": 0.7, + "max_tokens": 512, + "n": 1 # Single sample in rollout, multiple for GRPO groups + } +) + +# response is a Completion object +# Reference: forge/data_models/completion.py +response.token_ids # List[int] +response.logprobs # List[float] +response.text # str +response.prompt_ids # List[int] +``` + +### Parsing Tool Calls + +**Option A: Regex-based (Thinker)** +```python +# Reference: tinker-cookbook/tinker_cookbook/renderers.py:394-430 +import re +import json + +def parse_tool_call(text): + """Parse ... tags.""" + match = re.search(r"(.*?)", text, re.DOTALL) + if not match: + return None + + try: + tool_call = json.loads(match.group(1)) + return { + "name": tool_call["name"], + "args": tool_call["args"] + } + except json.JSONDecodeError: + return None +``` + +**Option B: vLLM Native Parsing** +```python +# If using vLLM with enable_auto_tool_choice=true +# Reference: verl/verl/experimental/agent_loop/tool_agent_loop.py:99-101 + +# vLLM automatically populates tool_calls +if response.choices[0].message.tool_calls: + tool_call = response.choices[0].message.tool_calls[0] + # Already parsed! +else: + # Final answer + pass +``` + +**Clarification on `response.choices[0]`:** +- This is **OpenAI API format**, used when vLLM native tool calling is enabled +- Forge's internal Generator returns `Completion` object, not OpenAI format +- For Forge, use regex parsing on `response.text` + +### Handling Multiple Tool Calls + +**Example: Model calls multiple tools in one turn** +```python +# Model output: "Let me search for flights and hotels. +# {"name": "search_flights", "args": {"destination": "NYC"}} +# {"name": "search_hotels", "args": {"city": "NYC"}}" + +def parse_all_tool_calls(text): + """Parse multiple tool calls.""" + matches = re.findall(r"(.*?)", text, re.DOTALL) + tool_calls = [] + for match in matches: + try: + tool_call = json.loads(match) + tool_calls.append(tool_call) + except json.JSONDecodeError: + continue + return tool_calls if tool_calls else None +``` + +### Sample-Level Concurrency + +**Sequential (simple)** +```python +# Reference: apps/grpo/main.py:372-394 +episodes = [] +for task in tasks: + episode = await play_task(task, policy, tokenizer, env) + episodes.append(episode) +``` + +**Parallel (faster)** +```python +# Process all tasks concurrently +tasks_coroutines = [ + play_task(task, policy, tokenizer, env) + for task in tasks +] +episodes = await asyncio.gather(*tasks_coroutines) +``` + +**Why parallel?** +- While Sample 1 waits for tool execution, Sample 2/3 continue generating +- 2-4x speedup for variable-length episodes +- **OpenEnv locking**: Each task gets separate env instance, no locks needed + ```python + # Each task creates new environment + async def play_task(task, ...): + env = OpenSpielEnv(base_url=server_url) # Separate instance + ... + env.close() + ``` + +## 4.4 Component 3: Tool Execution + +### Tool Definition (Where is it used?) + +**Tool schemas are used in two places:** + +1. **Prompt formatting** (Section 4.2) - tells model what tools exist +2. **Tool execution** - maps tool name to actual function + +**Definition Pattern (Thinker):** +```python +# Reference: tinker-cookbook/tinker_cookbook/recipes/tool_use/search/tools.py:362-373 +from abc import ABC, abstractmethod + +class ToolClientInterface(ABC): + @abstractmethod + def get_tool_schemas(self) -> list[dict]: + """Returns OpenAI-compatible tool definitions.""" + ... + + @abstractmethod + async def invoke(self, tool_call: dict) -> list[dict]: + """Executes tool and returns result messages.""" + ... + +# Concrete implementation +class SearchToolClient(ToolClientInterface): + def get_tool_schemas(self): + return [ + { + "name": "search", + "description": "Search Wikipedia", + "parameters": { + "type": "object", + "properties": { + "query_list": { + "type": "array", + "items": {"type": "string"} + } + }, + "required": ["query_list"] + } + } + ] + + async def invoke(self, tool_call): + if tool_call["name"] == "search": + results = await self.search_wikipedia(tool_call["args"]["query_list"]) + return [{"role": "tool", "content": json.dumps(results)}] +``` + +**Usage in loop:** +```python +# 1. Get schemas for prompt +prompt = tokenizer.apply_chat_template( + messages, + tools=tool_client.get_tool_schemas(), # <-- Used here + add_generation_prompt=True +) + +# 2. Execute tool +tool_call = parse_tool_call(response.text) +if tool_call: + result_messages = await tool_client.invoke(tool_call) # <-- Used here + messages.extend(result_messages) +``` + +### Multiple Tool Execution + +**Sequential:** +```python +for tool_call in tool_calls: + result = await tool_client.invoke(tool_call) + messages.extend(result) +``` + +**Parallel (faster for I/O-bound tools):** +```python +# Execute all tools concurrently +tasks = [tool_client.invoke(tc) for tc in tool_calls] +results = await asyncio.gather(*tasks) + +for result in results: + messages.extend(result) +``` + +**When parallel matters:** +- Good for: API calls, database queries, web search +- Not needed for: Fast local tools (< 10ms) + +## 4.5 Component 4: Message History Management + +### Messages in Multi-Turn + +**Structure over turns:** +```python +# Turn 1 +messages = [ + {"role": "user", "content": "Search for flights to NYC"} +] + +# Model generates +messages.append({"role": "assistant", "content": "I'll search... ..."}) + +# Tool executes +messages.append({"role": "tool", "content": '{"flights": [...]}'}) + +# Turn 2 +# Model generates again (with all history) +messages.append({"role": "assistant", "content": "Based on results, I recommend..."}) +``` + +### Storage Patterns + +**Option A: Explicit List (Thinker)** +```python +# Reference: tinker-cookbook/tinker_cookbook/recipes/tool_use/search/search_env.py:118 +class SearchEnv: + def __init__(self, ...): + self.past_messages: list[dict] = [] + + async def step(self, action): + # Parse model response + message = renderer.parse_response(action) + self.past_messages.append(message) + + # Execute tools if needed + if "tool_calls" in message: + tool_results = await tool_client.invoke(message["tool_calls"][0]) + self.past_messages.extend(tool_results) + + # Build next prompt with all history + next_prompt = renderer.build_generation_prompt(self.past_messages) + return next_prompt +``` + +**Option B: Concatenated Tokens (Forge/VERL)** +```python +# Reference: apps/grpo/main.py:376-398, verl/.../tool_agent_loop.py:68-74 +# Store all tokens in single list +episode_tokens = [] +episode_logprobs = [] +response_mask = [] # Track what to train on + +for turn in turns: + # LLM output + episode_tokens.extend(llm_response.token_ids) + episode_logprobs.extend(llm_response.logprobs) + response_mask.extend([1] * len(llm_response.token_ids)) + + # Tool result + if tool_call: + tool_tokens = tokenizer.encode(tool_result, add_special_tokens=False) + episode_tokens.extend(tool_tokens) + episode_logprobs.extend([0.0] * len(tool_tokens)) # Dummy + response_mask.extend([0] * len(tool_tokens)) +``` + +**Does OpenEnv hold messages?** +- **No** - OpenEnv manages environment state (game state, task state), not messages +- Messages are maintained by your rollout loop +- Reference: `OpenEnv/examples/grpo_blackjack/grpo_utils.py:408-456` shows loop managing messages + +## 4.6 Component 5: Episode Storage and Response Masking + +### Why Masking Matters + +```python +# Multi-turn episode tokens: +# Turn 1: +"Create a task for user_1" # LLM output - TRAIN +"create_task(...)" # LLM output - TRAIN +'{"status": "success", "task_id": "123"}' # Tool output - DON'T TRAIN +# Turn 2: +"Task created successfully!" # LLM output - TRAIN +``` + +**Without masking**: Model learns to predict tool results (impossible!) +**With masking**: Model only learns its own outputs + +### Episode Structure (Forge) + +**Reference: apps/grpo/main.py:44-75** +```python +from dataclasses import dataclass +import torch + +@dataclass +class Episode: + episode_id: str + pad_id: int + request_len: int # Length of initial prompt + response_len: int # Length of all responses (all turns concatenated) + target: Any | None # Ground truth for evaluation + + # Processed data + completion: Completion | None # Contains token_ids, logprobs, text + ref_logprobs: torch.Tensor | None # From reference model + reward: float | None # From reward function + advantage: float | None # Computed with group + + @property + def request_tensor(self) -> torch.Tensor: + """Padded prompt tokens.""" + ... + + @property + def response_tensor(self) -> torch.Tensor: + """Padded response tokens.""" + ... +``` + +**What about response_mask?** +- Not stored in Episode (Forge's design choice) +- Computed during training from `completion.token_ids` +- Alternative: Add to Episode or Completion (see VERL approach) + +### Building Episodes from Messages + +**Converting messages → single Episode:** + +```python +# Reference: Adapted from apps/grpo/main.py:376-394 +def messages_to_episode(messages, tokenizer, reward, task_id): + """Convert multi-turn messages to single Episode.""" + + # 1. Extract initial prompt (everything up to first assistant message) + first_assistant_idx = next(i for i, m in enumerate(messages) if m["role"] == "assistant") + prompt_messages = messages[:first_assistant_idx] + + prompt = tokenizer.apply_chat_template( + prompt_messages, + add_generation_prompt=True, + tokenize=False + ) + prompt_ids = tokenizer.encode(prompt, add_special_tokens=True) + + # 2. Concatenate all responses + all_tokens = [] + all_logprobs = [] + + for i in range(first_assistant_idx, len(messages)): + message = messages[i] + text = message["content"] + + if message["role"] == "assistant": + # LLM output - has logprobs + tokens = tokenizer.encode(text, add_special_tokens=False) + all_tokens.extend(tokens) + # Note: Need to store logprobs during generation + all_logprobs.extend(message.get("logprobs", [0.0] * len(tokens))) + elif message["role"] == "tool": + # Tool output - dummy logprobs + tokens = tokenizer.encode(text, add_special_tokens=False) + all_tokens.extend(tokens) + all_logprobs.extend([0.0] * len(tokens)) + + # 3. Create Completion + completion = Completion( + prompt_ids=torch.tensor(prompt_ids), + token_ids=torch.tensor(all_tokens), + logprobs=torch.tensor(all_logprobs), + text=tokenizer.decode(all_tokens), + generator_version=0 + ) + + # 4. Create Episode + episode = Episode( + episode_id=str(uuid.uuid4()), + pad_id=tokenizer.pad_token_id or tokenizer.eos_token_id, + request_len=len(prompt_ids), + response_len=len(all_tokens), + target=None, + completion=completion, + ref_logprobs=None, + reward=reward, + advantage=None + ) + + return episode + +# Usage +episode = messages_to_episode(messages, tokenizer, reward=1.0, task_id="task_1") +``` + +**Building response_mask:** +```python +def build_response_mask(messages, first_assistant_idx): + """Build mask: 1 for LLM output, 0 for tool output.""" + mask = [] + + for i in range(first_assistant_idx, len(messages)): + message = messages[i] + tokens = tokenizer.encode(message["content"], add_special_tokens=False) + + if message["role"] == "assistant": + mask.extend([1] * len(tokens)) # TRAIN + elif message["role"] == "tool": + mask.extend([0] * len(tokens)) # DON'T TRAIN + + return mask +``` + +**How to use masks in training:** +- Pass to loss function (see `apps/grpo/main.py:127-138` for GRPO loss) +- Multiply per-token loss by mask before averaging + +## 4.7 Component 6: Reward Computation + +### Sparse Rewards (Most Common) + +**Pattern:** +```python +# Reference: tinker-cookbook/tinker_cookbook/recipes/tool_use/search/search_env.py:161-209 +# All intermediate steps get 0 reward +for turn in range(max_turns): + if done: + break + response = await generate(...) + intermediate_reward = 0.0 # No reward yet + +# Final step gets actual reward +final_reward = env.check_answer(final_response) # 1.0 or 0.0 +``` + +**Used by:** +- Tau2Bench: 1.0 for success, 0.0 for failure +- Thinker: `correct_answer` (1.0/0.0) + format penalty +- Forge GSM8K: `MathReward()` checks final answer + +### Multiple Reward Signals (Thinker Pattern) + +**Reference: tinker-cookbook/tinker_cookbook/recipes/tool_use/search/search_env.py:196-209** +```python +# Thinker: Separate reward components +def compute_reward(response, ground_truth): + correct_format = float(check_format(response)) # 1.0 or 0.0 + correct_answer = float(check_answer(response, ground_truth)) # 1.0 or 0.0 + + # Combine with weights + format_coef = -1.0 # Penalty for bad format + total_reward = format_coef * (correct_format - 1) + correct_answer + return total_reward + +# Example: +# - Good answer, good format: -1.0 * (1.0 - 1) + 1.0 = 1.0 +# - Good answer, bad format: -1.0 * (0.0 - 1) + 1.0 = 2.0 +# - Bad answer, good format: -1.0 * (1.0 - 1) + 0.0 = 0.0 +# - Bad answer, bad format: -1.0 * (0.0 - 1) + 0.0 = 1.0 +``` + +**Forge Pattern:** +```python +# Reference: apps/grpo/main.py:334-336 +from forge.data.rewards import MathReward, ThinkingReward + +reward_functions = [MathReward(), ThinkingReward()] + +total_reward = sum( + reward_fn(prompt, response, target) + for reward_fn in reward_functions +) +avg_reward = total_reward / len(reward_functions) +``` + +**Key Difference:** +- **Thinker**: Combines rewards with explicit coefficients +- **Forge**: Averages multiple reward functions +- **Both**: Sparse (only at episode end) + +### Reward Shaping (Optional) + +**Reference: OpenEnv/examples/grpo_blackjack/grpo_utils.py:256-268** +```python +# Base reward from environment +base_reward = env.get_final_reward() # +1 (win), -1 (loss), 0 (draw) + +# Optional shaping +shaped_reward = base_reward +if base_reward > 0: + shaped_reward = 2.0 # Amplify wins +elif base_reward == 0: + shaped_reward = 0.5 # Draws better than losses +else: + shaped_reward = -1.0 # Losses + +# Use shaped_reward for training +``` + +**When to use:** +- Sparse rewards are too delayed +- Want to bias learning toward certain behaviors +- **Caution**: Can introduce bias, use carefully + +### How Environment Knows Reward + +**With Environment:** +```python +# Reference: tinker-cookbook/.../search_env.py:140-148 +class SearchEnv: + def __init__(self, problem, answer, ...): + self.problem = problem + self.answer = answer # Ground truth stored + + def check_answer(self, response): + model_answer = self._extract_answer(response) + for gold_answer in self.answer: + if normalize_answer(model_answer) == normalize_answer(gold_answer): + return True + return False + + async def step(self, action): + ... + if episode_done: + reward = float(self.check_answer(action)) + return StepResult(reward=reward, episode_done=True, ...) +``` + +**Without Environment:** +```python +# You provide reward function +def compute_reward(response, target): + # Your logic + return 1.0 if check_correct(response, target) else 0.0 + +# In loop +reward = compute_reward(final_response, task["target"]) +``` + +## 4.8 Component 7: Environment Integration + +### Thinker's Environment API (Recommended) + +**Reference: tinker-cookbook/tinker_cookbook/rl/types.py** +```python +from abc import ABC, abstractmethod +from dataclasses import dataclass + +class Environment(ABC): + @abstractmethod + async def initial_observation(self) -> tuple[Observation, StopCondition]: + """Start episode, return initial state.""" + ... + + @abstractmethod + async def step(self, action: Action) -> StepResult: + """Execute action, return result.""" + ... + +@dataclass +class StepResult: + reward: float + episode_done: bool + next_observation: Observation + next_stop_condition: StopCondition + metrics: dict = field(default_factory=dict) +``` + +**Why this is good:** +- Standard gym-like interface +- Clear separation: env manages state, you manage policy +- Easy to implement new environments +- Used by Thinker, similar to gym + +**Example Implementation:** +```python +# Reference: tinker-cookbook/.../search_env.py:100-219 +class SearchEnv(Environment): + def __init__(self, problem, answer, tool_client, renderer, ...): + self.problem = problem + self.answer = answer + self.tool_client = tool_client + self.renderer = renderer + self.past_messages = [] + + async def initial_observation(self): + messages = [ + {"role": "system", "content": SYSTEM_PROMPT}, + {"role": "user", "content": self.problem} + ] + self.past_messages = messages + prompt = self.renderer.build_generation_prompt(messages) + return prompt, stop_condition + + async def step(self, action): + # Parse response + message, parse_success = self.renderer.parse_response(action) + self.past_messages.append(message) + + # Execute tools if needed + if "tool_calls" in message: + tool_result = await self.tool_client.invoke(message["tool_calls"][0]) + self.past_messages.extend(tool_result) + + # Continue episode + next_prompt = self.renderer.build_generation_prompt(self.past_messages) + return StepResult( + reward=0.0, + episode_done=False, + next_observation=next_prompt, + ... + ) + else: + # Final answer + correct = self.check_answer(message["content"]) + return StepResult( + reward=float(correct), + episode_done=True, + next_observation=None, + ... + ) +``` + +### OpenEnv vs Thinker ToolEnv vs No Env + +| Feature | OpenEnv | Thinker ToolEnv | No Env | +|---------|---------|-----------------|--------| +| **API** | Docker HTTP | Python ABC | You implement | +| **Tools** | Env-specific | Tool client | You provide | +| **Setup** | Docker containers | `pip install` | Minimal | +| **State** | Env manages | Env manages | You manage | +| **Best for** | Complex envs (browsers, games) | Tool calling tasks | Simple tasks | +| **Example** | Tau2Bench airline tasks | Wikipedia search | Math reasoning | + +**When to use each:** +- **OpenEnv**: Training on diverse, sandboxed environments (Tau2Bench) +- **Thinker ToolEnv**: Clean tool calling with Python functions +- **No Env**: Simple tasks, full control over loop + +### Using Thinker's Env in Forge + +```python +# Forge app using Thinker's environment +async def play_task(task, policy, renderer, env): + # 1. Get initial observation + observation, stop_condition = await env.initial_observation() + + done = False + all_tokens = [] + all_logprobs = [] + + while not done: + # 2. Generate + response = await policy.generate.route(observation.prompt) + + # 3. Step environment + step_result = await env.step(response.token_ids) + + # 4. Collect tokens + all_tokens.extend(response.token_ids) + all_logprobs.extend(response.logprobs) + + # 5. Check if done + done = step_result.episode_done + observation = step_result.next_observation + + # 6. Create Episode with final reward + reward = step_result.reward + episode = Episode(...) # As in section 4.7 + return episode +``` + +**Key Point**: Core RL loop stays env-agnostic. Environment is injected at app level. + +--- + +## 4.9 Handling Multiple Environments (WebSearch + Coding, etc.) + +### The Challenge + +Tau2Bench has multiple domains (airline, retail, etc.) and you may want to train on a mix. Similarly, you might want to train on both websearch and coding tasks. Each domain/task type has: +- Different tools +- Different max_turns +- Different reward functions +- Different evaluation criteria + +### Recommended Pattern: Tinker's `CompositeDataset` + +**Location**: See full research in `/home/felipemello/forge/brainstorming_forge_tau/4_examples_APIs.md` section "Handling Multiple Environments" + +#### Core Abstraction: `EnvGroupBuilder` + +Every environment implements this interface: + +```python +# Based on tinker_cookbook/rl/types.py:64-108 + +class EnvGroupBuilder(ABC): + """ + Builds a group of environments. Used for: + - GRPO groups (e.g., 8 copies for one problem) + - Mixed environment training + """ + + @abstractmethod + async def make_envs(self) -> Sequence[Env]: + """Create a group of environments (e.g., 8 copies for GRPO)""" + pass + + def logging_tags(self) -> list[str]: + """Tags for logging (e.g., ['airline'], ['retail'])""" + return [] +``` + +#### Mixing Environments: `CompositeDataset` + +```python +class CompositeDataset: + """Mix multiple datasets at the batch level.""" + + def __init__(self, datasets: List[RLDataset], groups_per_batch_list: List[int]): + self.datasets = datasets + self.groups_per_batch_list = groups_per_batch_list + + def get_batch(self, i_batch: int) -> tuple[List[EnvGroupBuilder], List[int]]: + """ + Get a batch by sampling from each dataset. + + Returns: + env_group_builders: List of all env group builders (mixed!) + dataset_indices: Which dataset each builder came from + """ + all_env_group_builders = [] + all_dataset_indices = [] + + for dataset_idx, (dataset, groups_per_batch) in enumerate( + zip(self.datasets, self.groups_per_batch_list) + ): + env_group_builders = dataset.get_batch(i_batch) + all_env_group_builders.extend(env_group_builders) + all_dataset_indices.extend([dataset_idx] * groups_per_batch) + + return all_env_group_builders, all_dataset_indices +``` + +#### Example: Airline + Retail Tasks + +```python +# 1. Define environment builders for each domain +airline_env_builder = Tau2BenchEnvGroupBuilder( + domain="airline", + tools=[book_flight, cancel_reservation, ...], + max_turns=10, + dataset_name="airline" +) + +retail_env_builder = Tau2BenchEnvGroupBuilder( + domain="retail", + tools=[search_products, add_to_cart, ...], + max_turns=15, + dataset_name="retail" +) + +# 2. Create datasets +airline_dataset = Tau2BenchDataset(domain="airline") +retail_dataset = Tau2BenchDataset(domain="retail") + +# 3. Mix with CompositeDataset +mixed_dataset = CompositeDataset( + datasets=[airline_dataset, retail_dataset], + groups_per_batch_list=[50, 50] # 50 airline + 50 retail per batch +) + +# 4. Use in Forge rollout +async def continuous_rollouts(): + while True: + # Get mixed batch + env_group_builders, dataset_indices = mixed_dataset.get_batch(batch_idx) + + # Each builder knows its own environment configuration! + for builder in env_group_builders: + # builder has: + # - Its own tools (airline vs retail) + # - Its own max_turns + # - Its own reward function + episodes = await play_task_with_env_builder( + policy=policy, + env_builder=builder, + ) + + # Logging automatically separates by domain (via builder.logging_tags()) +``` + +#### Why This Works + +- ✅ **Different tools** per environment (airline vs retail) +- ✅ **Different max_turns** per environment +- ✅ **Different rewards** per environment (domain-specific rubrics) +- ✅ **Unified training loop** (no special casing needed) +- ✅ **Separate metrics** (via logging_tags: ['airline'], ['retail']) +- ✅ **Flexible mixing ratios** (control via groups_per_batch_list) +- ✅ **Batch-level mixing**: Each batch contains groups from multiple datasets +- ✅ **Decentralized**: Each `EnvGroupBuilder` is self-contained + +#### Simpler Alternative: Manual Routing + +If you don't need the full flexibility, implement simple routing: + +```python +# Map domain to environment configuration +task_to_env = { + "airline": (airline_tools, airline_max_turns, airline_reward_fn), + "retail": (retail_tools, retail_max_turns, retail_reward_fn), +} + +async def play_task(task_sample, policy, tokenizer): + domain = task_sample["domain"] + tools, max_turns, reward_fn = task_to_env[domain] + + # Use domain-specific configuration + episode = await multi_turn_rollout( + task=task_sample, + policy=policy, + tools=tools, + max_turns=max_turns, + ) + + episode.reward = reward_fn(episode) + return episode +``` + +**Recommendation**: Start with manual routing for simplicity. Upgrade to `CompositeDataset` pattern if you need: +- Fine-grained control over mixing ratios +- Separate logging per domain +- Easy addition of new domains + +--- + +**Next**: Part 5 shows complete architectural patterns for Forge + Tau2Bench. diff --git a/brainstorming_forge_tau/tutorials/5_architectural_patterns.md b/brainstorming_forge_tau/tutorials/5_architectural_patterns.md new file mode 100644 index 000000000..cc08705db --- /dev/null +++ b/brainstorming_forge_tau/tutorials/5_architectural_patterns.md @@ -0,0 +1,1145 @@ +# Part 5: Architectural Patterns for Forge + Tau2Bench + OpenEnv + +**CRITICAL NOTE**: All patterns use the Forge stack: +- **Forge Generator** (internal vLLM via Monarch actors) - NOT external HTTP server +- **OpenEnv** for tool execution and training +- **Tau2Bench** for tasks and evaluation +- **vLLM** engine (internal to Forge Generator) + +## Pattern A: Simple Sequential + Token Concatenation (TRL-inspired) + +### Summary + +**What it is**: Concatenate all turns into one sequence, train as single episode. Each turn's tokens are appended to the same lists. + +**When to use**: Simplest implementation for prototypes, proven pattern from TRL, good starting point before adding complexity. + +### YAML Configuration + +```yaml +# examples/tau2bench/grpo/simple_concat.yaml +policy: + type: "Generator" + model_path: "Qwen/Qwen2.5-1.5B-Instruct" + engine_args: + tensor_parallel_size: 1 + gpu_memory_utilization: 0.9 + max_model_len: 2048 + +trainer: + type: "TitanTrainer" + learning_rate: 1e-5 + beta: 0.1 # KL penalty + +rollout: + group_size: 8 # GRPO group + max_turns: 10 # Max turns per episode + concurrent_tasks: 4 # Process 4 tasks in parallel + +openenv: + base_url: "http://localhost:8001" + timeout: 30 +``` + +### Complete Code + +```python +# examples/tau2bench/grpo/simple_concat_pattern.py + +async def play_task_simple( + task_prompt: str, + policy: Generator, + tokenizer, + env_client: OpenEnv, + max_turns: int = 10, +): + """ + Simple multi-turn loop with token concatenation. + Adapted from TRL pattern, but uses Forge Generator. + """ + # Initialize + env_result = env_client.reset(task=task_prompt) + messages = [{"role": "user", "content": task_prompt}] + + # Storage for ENTIRE episode (all turns concatenated) + episode_tokens = [] + episode_logprobs = [] + done = False + turn = 0 + + while not done and turn < max_turns: + # 1. Format prompt + prompt = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=False + ) + + # 2. Generate using Forge Generator + response = await policy.generate.route( + prompt, + sampling_params={"temperature": 0.7, "max_tokens": 256} + ) + + # 3. CRITICAL: Concatenate tokens (TRL's trick) + prompt_ids = tokenizer.encode(prompt, add_special_tokens=False) + completion_ids = response.token_ids + + episode_tokens.extend(prompt_ids) + episode_tokens.extend(completion_ids) + episode_logprobs.extend(response.logprobs) + + # 4. Parse tool call + tool_call = parse_tool_call(response.text) + + if tool_call: + # Execute tool via OpenEnv + env_result = env_client.step(tool_call) + + # Add to message history + messages.append({ + "role": "assistant", + "content": response.text, + "tool_calls": [tool_call] + }) + messages.append({ + "role": "tool", + "content": env_result.observation.text + }) + + done = env_result.done + else: + # Final answer (no tool call) + messages.append({ + "role": "assistant", + "content": response.text + }) + done = True + + turn += 1 + + # 5. Get final reward + final_reward = env_result.reward if env_result.done else 0.0 + + # 6. Create episode (entire multi-turn = one sequence) + episode = { + "token_ids": episode_tokens, + "logprobs": episode_logprobs, + "reward": final_reward, + "num_turns": turn + } + + return episode + + +def parse_tool_call(text: str): + """Simple regex-based parser.""" + match = re.search(r'(.*?)', text, re.DOTALL) + if match: + try: + return json.loads(match.group(1)) + except json.JSONDecodeError: + return None + return None +``` + +**Adaptation for External vLLM (Option B):** +```python +# Replace Forge Generator call with HTTP request +import requests + +response = requests.post( + "http://localhost:8000/v1/completions", + json={"prompt": prompt, "max_tokens": 256} +) +result = response.json() +episode_tokens.extend(result["choices"][0]["token_ids"]) +``` + +### Key Insights + +✅ **Simplest pattern**: Easy to understand and implement +✅ **Token concatenation is THE trick**: All turns become one sequence +✅ **Works well**: Proven by TRL on various tasks +✅ **No masking**: Trains on everything (including tool results) - acceptable for simple cases +⚠️ **Limitation**: No response masking means training on tool outputs + +**Trade-offs:** +- **Pros**: Simple, direct, easy to debug +- **Cons**: No masking (less efficient), harder to extend +- **Best for**: Prototypes, initial experiments, simple tasks + +## Pattern B: Clean Abstractions with Renderer (Tinker-inspired) 🎯 + +### Summary + +**What it is**: Use Renderer pattern for prompt formatting, clean Environment API, explicit trajectory processing with response masking. + +**When to use**: Research projects, need reusability, want clean maintainable code that's easy to extend and debug. **Recommended for production Forge implementation.** + +### YAML Configuration + +```yaml +# examples/tau2bench/grpo/tinker_pattern.yaml +policy: + type: "Generator" + model_path: "Qwen/Qwen2.5-1.5B-Instruct" + engine_args: + tensor_parallel_size: 1 + gpu_memory_utilization: 0.9 + +renderer: + type: "Qwen3Renderer" # Model-specific renderer + +environment: + type: "OpenEnvToolEnv" + base_url: "http://localhost:8001" + max_turns: 10 + +rollout: + group_size: 8 + trajectory_processing: "with_masking" # Enable response masking +``` + +### Complete Code + +**1. Renderer (Tinker pattern)** 🎯 + +```python +# forge/utils/renderers.py + +class Renderer(ABC): + """Abstract base for model-specific rendering.""" + + @abstractmethod + def build_generation_prompt(self, messages: list[dict]): + """Convert message history to model input.""" + ... + + @abstractmethod + def parse_response(self, response_tokens: list[int]): + """Parse model output to Message.""" + ... + + +class Qwen3Renderer(Renderer): + """Qwen-specific renderer with tool calling support.""" + + def __init__(self, tokenizer): + self.tokenizer = tokenizer + + def build_generation_prompt(self, messages: list[dict]): + """Build prompt from message history.""" + prompt_text = self.tokenizer.apply_chat_template( + messages, + tokenize=False, + add_generation_prompt=True + ) + tokens = self.tokenizer.encode(prompt_text, add_special_tokens=False) + + return ModelInput( + prompt=prompt_text, + tokens=tokens + ) + + def parse_response(self, response_tokens: list[int]): + """Parse response for tool calls.""" + text = self.tokenizer.decode(response_tokens, skip_special_tokens=True) + + # Check for tool call tag + match = re.search(r"(.*?)", text, re.DOTALL) + if match: + try: + tool_call = json.loads(match.group(1)) + return Message( + role="assistant", + content=text, + tool_calls=[tool_call] + ) + except json.JSONDecodeError: + pass + + return Message(role="assistant", content=text) + + +@dataclass +class ModelInput: + prompt: str + tokens: list[int] + + +@dataclass +class Message: + role: str + content: str + tool_calls: list[dict] = None +``` + +**2. Environment with Clean API** 🎯 + +```python +# forge/environments/tool_env.py + +class ToolEnv(ABC): + """Clean environment interface (Tinker pattern).""" + + @abstractmethod + async def initial_observation(self): + """Start episode, return initial state.""" + ... + + @abstractmethod + async def step(self, action): + """Execute action, return StepResult.""" + ... + + +@dataclass +class StepResult: + reward: float + episode_done: bool + next_observation: ModelInput + metrics: dict = field(default_factory=dict) + + +class OpenEnvToolEnv(ToolEnv): + """OpenEnv adapter with ToolEnv interface.""" + + def __init__(self, base_url: str, renderer: Renderer, max_turns: int = 10): + self.client = OpenEnv(base_url=base_url) + self.renderer = renderer + self.max_turns = max_turns + self.past_messages = [] + self.current_turn = 0 + + async def initial_observation(self): + result = self.client.reset() + self.past_messages = [ + {"role": "user", "content": result.observation.info_state} + ] + self.current_turn = 0 + return self.renderer.build_generation_prompt(self.past_messages) + + async def step(self, action_tokens: list[int]): + """Execute one step.""" + # Parse response + message = self.renderer.parse_response(action_tokens) + self.past_messages.append(message) + self.current_turn += 1 + + # Check if tool call + if message.tool_calls: + # Execute tool via OpenEnv + tool_call = message.tool_calls[0] + env_result = self.client.step(tool_call) + + # Add tool result to history + tool_message = { + "role": "tool", + "content": env_result.observation.text + } + self.past_messages.append(tool_message) + + # Check if done + if env_result.done or self.current_turn >= self.max_turns: + return StepResult( + reward=env_result.reward, + episode_done=True, + next_observation=ModelInput.empty(), + ) + else: + # Continue episode + next_obs = self.renderer.build_generation_prompt(self.past_messages) + return StepResult( + reward=0.0, + episode_done=False, + next_observation=next_obs, + ) + else: + # Final answer (no tool call) - episode done + return StepResult( + reward=self.client.get_final_reward(), + episode_done=True, + next_observation=ModelInput.empty(), + ) +``` + +**3. Rollout with Trajectory** 🎯 + +```python +# forge/rollouts/multiturn.py + +@dataclass +class Transition: + """Single step in trajectory.""" + ob: ModelInput # Observation (prompt) + ac: TokensWithLogprobs # Action (LLM output) + reward: float + episode_done: bool + + +@dataclass +class Trajectory: + """Complete episode trajectory.""" + transitions: list[Transition] + final_reward: float + + +async def do_rollout_tinker_pattern( + policy: Generator, + env: ToolEnv, +): + """Tinker-style rollout.""" + transitions = [] + + # Get initial observation + ob = await env.initial_observation() + + while True: + # Generate action + response = await policy.generate.route( + ob.prompt, + sampling_params={"temperature": 0.7, "max_tokens": 256} + ) + + ac = TokensWithLogprobs( + tokens=response.token_ids, + logprobs=response.logprobs + ) + + # Execute in environment + step_result = await env.step(response.token_ids) + + # Store transition + transition = Transition( + ob=ob, + ac=ac, + reward=step_result.reward, + episode_done=step_result.episode_done + ) + transitions.append(transition) + + # Check if done + if step_result.episode_done: + break + + # Update observation + ob = step_result.next_observation + + return Trajectory( + transitions=transitions, + final_reward=transitions[-1].reward + ) +``` + +**4. Trajectory Processing with Masking** 🎯 + +```python +# forge/data/trajectory_processing.py + +def trajectory_to_episode(traj: Trajectory, advantage: float): + """ + Convert trajectory to training episode with response masking. + Tinker pattern: mask built during data processing, not rollout. + """ + all_tokens = [] + all_logprobs = [] + response_mask = [] + advantages = [] + + for transition in traj.transitions: + # Observation tokens (prompt, tool results) + ob_tokens = transition.ob.tokens + ob_len = len(ob_tokens) + + # Action tokens (LLM output) + ac_tokens = transition.ac.tokens + ac_logprobs = transition.ac.logprobs + ac_len = len(ac_tokens) + + # Concatenate + all_tokens.extend(ob_tokens) + all_tokens.extend(ac_tokens) + + all_logprobs.extend([0.0] * ob_len) # Placeholder for obs + all_logprobs.extend(ac_logprobs) + + # Build mask: 0 for observations, 1 for actions + response_mask.extend([0] * ob_len) # DON'T train on obs + response_mask.extend([1] * ac_len) # TRAIN on actions + + # Assign advantages (only to action tokens) + advantages.extend([0.0] * ob_len) + advantages.extend([advantage] * ac_len) + + return Episode( + token_ids=all_tokens, + logprobs=all_logprobs, + response_mask=response_mask, + advantages=advantages, + reward=traj.final_reward + ) +``` + +### Key Insights + +✅ **Clean separation of concerns**: Rendering, environment, data processing are separate +✅ **Reusable components**: Renderer works across tasks, easy to swap +✅ **Easy to test**: Each component can be tested independently +✅ **Response masking**: Built during data processing (clean pattern) +✅ **Production-ready**: Based on Tinker's proven design + +**Why this pattern is good:** 🎯 +- **Modularity**: Components are independent and reusable +- **Testability**: Easy to unit test each piece +- **Debuggability**: Clear data flow, easy to inspect +- **Extensibility**: Easy to add new models, environments + +**Trade-offs:** +- **Pros**: Clean code, maintainable, extensible, production-ready +- **Cons**: More code than Pattern A, requires understanding abstractions +- **Best for**: Production implementations, research projects, team codebases + +## Pattern C: State Machine + Async Parallel Tools (VERL-inspired) + +### Summary + +**What it is**: Explicit state machine (PENDING → GENERATING → PROCESSING_TOOLS → ...) with parallel tool execution using `asyncio.gather()`. + +**When to use**: Complex tool workflows requiring explicit state management, production systems with multiple concurrent tool calls per turn. + +### YAML Configuration + +```yaml +# examples/tau2bench/grpo/state_machine_pattern.yaml +policy: + type: "Generator" + model_path: "Qwen/Qwen2.5-1.5B-Instruct" + +state_machine: + max_assistant_turns: 5 + max_parallel_tool_calls: 3 + states: ["PENDING", "GENERATING", "PROCESSING_TOOLS", "TERMINATED"] + +tools: + execution_mode: "parallel" # Execute tools concurrently + timeout: 10 +``` + +### Complete Code + +```python +# examples/tau2bench/grpo/state_machine_pattern.py + +from enum import Enum + +class AgentState(Enum): + PENDING = "pending" + GENERATING = "generating" + PROCESSING_TOOLS = "processing_tools" + TERMINATED = "terminated" + + +@dataclass +class AgentData: + """State for one episode.""" + messages: list[dict] + response_ids: list[int] + response_mask: list[int] + response_logprobs: list[float] + tool_calls: list[dict] + assistant_turns: int = 0 + state: AgentState = AgentState.PENDING + + +async def run_state_machine_episode( + task: str, + policy: Generator, + tokenizer, + env: OpenEnv, + max_assistant_turns: int = 5, + max_parallel_tools: int = 3, +): + """VERL-inspired state machine pattern.""" + + agent_data = AgentData( + messages=[{"role": "user", "content": task}], + response_ids=[], + response_mask=[], + response_logprobs=[], + tool_calls=[] + ) + + # State machine loop + while agent_data.state != AgentState.TERMINATED: + if agent_data.state == AgentState.PENDING: + agent_data.state = await handle_pending(agent_data, tokenizer) + + elif agent_data.state == AgentState.GENERATING: + agent_data.state = await handle_generating( + agent_data, policy, tokenizer, max_assistant_turns + ) + + elif agent_data.state == AgentState.PROCESSING_TOOLS: + agent_data.state = await handle_processing_tools( + agent_data, env, tokenizer, max_parallel_tools + ) + + # Return episode + return Episode( + token_ids=agent_data.response_ids, + logprobs=agent_data.response_logprobs, + response_mask=agent_data.response_mask, + reward=env.get_final_reward() + ) + + +async def handle_pending(agent_data: AgentData, tokenizer): + """Prepare prompt.""" + # Build prompt from messages + prompt = tokenizer.apply_chat_template( + agent_data.messages, + add_generation_prompt=True + ) + agent_data.prompt_ids = tokenizer.encode(prompt) + return AgentState.GENERATING + + +async def handle_generating( + agent_data: AgentData, + policy: Generator, + tokenizer, + max_assistant_turns: int, +): + """Generate response using Forge Generator.""" + # Generate + prompt_text = tokenizer.decode(agent_data.prompt_ids) + response = await policy.generate.route( + prompt_text, + sampling_params={"temperature": 0.7, "max_tokens": 256} + ) + + # Track turn count + agent_data.assistant_turns += 1 + + # Accumulate tokens + agent_data.response_ids.extend(response.token_ids) + agent_data.response_logprobs.extend(response.logprobs) + agent_data.response_mask.extend([1] * len(response.token_ids)) # LLM output + + # Check termination + if agent_data.assistant_turns >= max_assistant_turns: + return AgentState.TERMINATED + + # Parse tool calls + tool_calls = parse_tool_calls(response.text) + agent_data.tool_calls = tool_calls + + if tool_calls: + return AgentState.PROCESSING_TOOLS + else: + return AgentState.TERMINATED + + +async def handle_processing_tools( + agent_data: AgentData, + env: OpenEnv, + tokenizer, + max_parallel_tools: int, +): + """Execute tools in PARALLEL (VERL pattern).""" + + # Create parallel tasks + tool_tasks = [ + execute_tool_async(tool_call, env) + for tool_call in agent_data.tool_calls[:max_parallel_tools] + ] + + # Execute ALL tools concurrently + tool_results = await asyncio.gather(*tool_tasks) + + # Add tool results to message history + for tool_call, result in zip(agent_data.tool_calls, tool_results): + # Add assistant message with tool call + agent_data.messages.append({ + "role": "assistant", + "tool_calls": [tool_call] + }) + + # Add tool result + agent_data.messages.append({ + "role": "tool", + "content": result + }) + + # Tokenize tool results + tool_messages_text = tokenizer.apply_chat_template( + [m for m in agent_data.messages if m["role"] == "tool"], + add_generation_prompt=True + ) + tool_tokens = tokenizer.encode(tool_messages_text) + + # Accumulate tool result tokens (with mask=0) + agent_data.response_ids.extend(tool_tokens) + agent_data.response_logprobs.extend([0.0] * len(tool_tokens)) + agent_data.response_mask.extend([0] * len(tool_tokens)) # DON'T train on tool results + + # Continue generation + return AgentState.GENERATING + + +async def execute_tool_async(tool_call: dict, env: OpenEnv): + """Execute single tool (async).""" + result = env.execute_tool(tool_call) + return result.observation.text + + +def parse_tool_calls(text: str) -> list[dict]: + """Parse multiple tool calls from text.""" + matches = re.findall(r'(.*?)', text, re.DOTALL) + tool_calls = [] + for match in matches: + try: + tool_calls.append(json.loads(match)) + except json.JSONDecodeError: + continue + return tool_calls +``` + +### Key Insights + +✅ **Explicit state management**: Clear transitions between states +✅ **Parallel tool execution**: Multiple tools run concurrently (`asyncio.gather`) +✅ **Handles complex workflows**: Good for multi-tool scenarios +✅ **Response masking**: Built incrementally during state transitions + +**Trade-offs:** +- **Pros**: Clear state flow, handles complexity well, parallel tools +- **Cons**: More complex than Patterns A/B, overkill for simple tasks +- **Best for**: Production systems with complex multi-step tool interactions + +## Pattern D: Async Sample-Level Pipelining (NeMo-RL inspired) + +### Summary + +**What it is**: Each sample runs as independent async task. While one sample waits for tool execution, others continue generating. Maximum throughput. + +**When to use**: Production system requiring maximum performance, have variable-length episodes, tool execution has latency. + +### YAML Configuration + +```yaml +# examples/tau2bench/grpo/async_pipeline_pattern.yaml +policy: + type: "Generator" + model_path: "Qwen/Qwen2.5-1.5B-Instruct" + engine_args: + # Note: Forge may handle async differently via Monarch + # Check Forge docs for async configuration + tensor_parallel_size: 1 + +rollout: + sample_level_concurrency: true # Enable per-sample pipelining + concurrent_samples: 8 # Process 8 samples in parallel + max_turns_per_sample: 10 +``` + +### Complete Code + +```python +# examples/tau2bench/grpo/async_pipeline_pattern.py + +async def run_async_multi_sample_rollout( + tasks: list[str], + policy: Generator, + tokenizer, + env_factory: callable, # Creates env per sample +): + """ + NeMo-RL inspired: per-sample async tasks for pipelining. + While Sample 1 waits for tool, Samples 2/3/4 continue generating. + """ + + # Create one async task PER SAMPLE + sample_tasks = [ + asyncio.create_task( + run_single_sample_async( + sample_idx=i, + task=task, + policy=policy, + tokenizer=tokenizer, + env=env_factory() + ) + ) + for i, task in enumerate(tasks) + ] + + # Run ALL samples concurrently + episodes = await asyncio.gather(*sample_tasks) + + return episodes + + +async def run_single_sample_async( + sample_idx: int, + task: str, + policy: Generator, + tokenizer, + env: OpenEnv, + max_turns: int = 10, +): + """ + Complete lifecycle for ONE sample. + Runs independently - while this sample waits, others continue. + """ + messages = [{"role": "user", "content": task}] + all_tokens = [] + all_logprobs = [] + response_mask = [] + done = False + turn = 0 + + while not done and turn < max_turns: + # 1. Build prompt + prompt = tokenizer.apply_chat_template(messages, add_generation_prompt=True) + + # 2. Async generation (doesn't block other samples) + response = await policy.generate.route( + prompt, + sampling_params={"temperature": 0.7, "max_tokens": 256} + ) + + # 3. Accumulate tokens + all_tokens.extend(response.token_ids) + all_logprobs.extend(response.logprobs) + response_mask.extend([1] * len(response.token_ids)) + + # 4. Parse tool call + tool_call = parse_tool_call(response.text) + + if tool_call: + # 5. Execute tool (async, but DOESN'T block other samples!) + # While THIS sample waits here, Sample 2/3/4 continue their generation + tool_result = await execute_tool_async(env, tool_call) + + # Add to history + messages.append({"role": "assistant", "tool_calls": [tool_call]}) + messages.append({"role": "tool", "content": tool_result}) + + # Tokenize tool result + tool_tokens = tokenizer.encode(tool_result) + all_tokens.extend(tool_tokens) + response_mask.extend([0] * len(tool_tokens)) # DON'T train + + done = env.is_done() + else: + messages.append({"role": "assistant", "content": response.text}) + done = True + + turn += 1 + + # Get final reward + reward = env.get_final_reward() + + return Episode( + sample_idx=sample_idx, + token_ids=all_tokens, + logprobs=all_logprobs, + response_mask=response_mask, + reward=reward, + num_turns=turn + ) + + +async def execute_tool_async(env: OpenEnv, tool_call: dict): + """Execute tool without blocking other samples.""" + result = env.step(tool_call) + return result.observation.text +``` + +### Why This Pipelining Matters + +**Without pipelining (sequential):** +``` +Sample 1: [Gen 10s] → [Tool 5s] → [Gen 10s] = 25s +Sample 2: [Gen 10s] → [Tool 5s] = 15s +Sample 3: [Gen 10s] = 10s +Total: 25 + 15 + 10 = 50s +``` + +**With NeMo-RL pipelining:** +``` +Sample 1: [Gen 10s]──────────────┐ [Gen 10s]──────┐ + ↓ ↓ + [Tool 5s] [Tool 5s] +Sample 2: [Gen 10s]──────────┐ [Gen 10s]──┐ + ↓ ↓ + [Tool 5s] [Tool 5s] +Sample 3: [Gen 10s]──────┐ + ↓ + [Tool 5s] + +Total: ~25s (longest sample) → 2x speedup! +``` + +**Downsides/Considerations:** +- **Memory**: All samples in flight simultaneously (more GPU memory) +- **Complexity**: Harder to debug (concurrent execution) +- **vLLM config**: May need `max_num_seqs` adjustment + +**How to control:** +```yaml +# vLLM configuration +engine_args: + max_num_seqs: 8 # Max concurrent sequences + gpu_memory_utilization: 0.85 # Leave headroom +``` + +**Source of speedup estimates:** +- Based on NeMo-RL benchmarks with variable-length episodes +- 2-4x typical, up to 8x with high tool latency +- Depends on: tool execution time, episode length variance + +### Key Insights + +✅ **Maximum throughput**: Best performance for production +✅ **Non-blocking tool execution**: Fast samples don't wait for slow ones +✅ **Sample independence**: Each sample is its own async task +⚠️ **Higher memory usage**: All samples concurrent +⚠️ **More complex**: Harder to debug than sequential + +**Trade-offs:** +- **Pros**: Best performance, maximum GPU utilization +- **Cons**: Memory usage, complexity, harder debugging +- **Best for**: Production scale, variable episode lengths, tool latency exists + +## Pattern E: Native Tool Calling (Verifiers/PRIME-RL inspired) + +### Summary + +**What it is**: Use vLLM's native tool calling support (`enable_auto_tool_choice: true`), clean tool definition with type hints, automatic parsing. + +**When to use**: Model supports native tool calling, want production-ready abstractions, avoid manual parsing. + +### YAML Configuration + +```yaml +# examples/tau2bench/grpo/native_tools_pattern.yaml +policy: + type: "Generator" + model_path: "Qwen/Qwen2.5-1.5B-Instruct" + engine_args: + # Enable vLLM native tool calling + enable_auto_tool_choice: true + tool_call_parser: "hermes" # or "mistral", "llama", depends on model + tensor_parallel_size: 1 + +tools: + definition_style: "type_hints" # Auto-generate schemas from functions + auto_schema_generation: true +``` + +### Complete Code + +**1. Clean Tool Definition** + +```python +# examples/tau2bench/tools/tau2_tools.py + +async def create_task(user_id: str, title: str, description: str = "", deadline: str = ""): + """ + Create a new task. + + Args: + user_id: ID of the user who owns the task + title: Task title + description: Optional task description + deadline: Optional deadline (ISO format) + + Returns: + Task creation result with task_id + """ + # Implementation via OpenEnv + result = env.execute_tool({ + "name": "create_task", + "arguments": { + "user_id": user_id, + "title": title, + "description": description, + "deadline": deadline + } + }) + return result + + +async def update_task(task_id: str, status: str): + """ + Update task status. + + Args: + task_id: ID of the task to update + status: New status (pending|completed|cancelled) + + Returns: + Update result + """ + result = env.execute_tool({ + "name": "update_task", + "arguments": {"task_id": task_id, "status": status} + }) + return result + + +# Auto-convert to OpenAI schemas +def convert_func_to_oai_tool(func: callable): + """Convert type-hinted function to OpenAI tool schema.""" + import inspect + sig = inspect.signature(func) + + parameters = { + "type": "object", + "properties": {}, + "required": [] + } + + for name, param in sig.parameters.items(): + param_type = str(param.annotation).replace("", "") + parameters["properties"][name] = {"type": param_type} + if param.default == inspect.Parameter.empty: + parameters["required"].append(name) + + return { + "name": func.__name__, + "description": func.__doc__.strip().split("\n")[0], + "parameters": parameters + } + + +# Generate schemas +tools = [create_task, update_task] +tool_schemas = [convert_func_to_oai_tool(t) for t in tools] +``` + +**2. Rollout with Native Parsing** + +```python +# examples/tau2bench/grpo/native_tools_rollout.py + +async def run_native_tool_calling( + task: str, + policy: Generator, + tokenizer, + tool_map: dict, # {tool_name: function} + tool_schemas: list[dict], + max_turns: int = 10, +): + """ + Verifiers-inspired: use vLLM native tool calling. + """ + messages = [ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": task} + ] + + all_tokens = [] + all_logprobs = [] + response_mask = [] + done = False + turn = 0 + + while not done and turn < max_turns: + # 1. Format prompt WITH TOOLS (vLLM formats based on model) + prompt = tokenizer.apply_chat_template( + messages, + tools=tool_schemas, # vLLM handles formatting! + add_generation_prompt=True + ) + + # 2. Generate (vLLM auto-parses tool calls) + response = await policy.generate.route(prompt) + + # 3. Check if vLLM parsed tool calls + # (message.tool_calls populated by vLLM, not manual parsing!) + if hasattr(response, 'tool_calls') and response.tool_calls: + tool_call = response.tool_calls[0] + + # Execute tool + tool_name = tool_call["function"]["name"] + tool_args = json.loads(tool_call["function"]["arguments"]) + tool_result = await tool_map[tool_name](**tool_args) + + # Add to history + messages.append({ + "role": "assistant", + "tool_calls": [tool_call] + }) + messages.append({ + "role": "tool", + "content": str(tool_result), + "tool_call_id": tool_call["id"] + }) + + # Accumulate tokens + all_tokens.extend(response.token_ids) + all_logprobs.extend(response.logprobs) + response_mask.extend([1] * len(response.token_ids)) + + # Tool result tokens + tool_tokens = tokenizer.encode(str(tool_result)) + all_tokens.extend(tool_tokens) + response_mask.extend([0] * len(tool_tokens)) + else: + # Final answer + messages.append({"role": "assistant", "content": response.text}) + all_tokens.extend(response.token_ids) + all_logprobs.extend(response.logprobs) + response_mask.extend([1] * len(response.token_ids)) + done = True + + turn += 1 + + return Episode( + token_ids=all_tokens, + logprobs=all_logprobs, + response_mask=response_mask, + reward=compute_reward(messages) + ) +``` + +### Key Insights + +✅ **No manual parsing**: vLLM does it automatically +✅ **Clean tool definition**: Just type-hinted Python functions +✅ **Production-ready**: Used by PRIME-RL, Verifiers +✅ **Model-specific formatting**: vLLM handles Qwen vs GPT vs Llama differences + +**When to use:** +- Model is trained for native tool calling (e.g., fine-tuned with tool data) +- Want to avoid manual regex parsing +- Production system with well-defined tools +- Using Qwen, Mistral, Llama models with tool support + +**Trade-offs:** +- **Pros**: Clean, reliable, no parsing bugs, production-ready +- **Cons**: Requires model support, less control over format +- **Best for**: Production systems with models trained for tool calling + +--- + +**Summary of All Patterns:** + +| Pattern | Complexity | Performance | Best For | +|---------|-----------|-------------|----------| +| **A: Simple Concat** | Low | OK | Prototypes, learning | +| **B: Tinker** 🎯 | Medium | Good | Production, research, clean code | +| **C: State Machine** | Medium-High | Good | Complex workflows, multiple tools | +| **D: Async Pipeline** | High | Best | Maximum throughput, production scale | +| **E: Native Tools** | Low-Medium | Good | Models with tool support, production | + +**Recommendation for Forge:** +1. **Start with Pattern A** (simple concat) to learn +2. **Move to Pattern B** 🎯 (Tinker) for production - clean, maintainable +3. **Add Pattern D** (async pipeline) if bottlenecked on throughput +4. **Consider Pattern E** (native tools) if using tool-trained models + +**Next**: Part 6 shows complete implementation plan for Forge. diff --git a/brainstorming_forge_tau/tutorials/6_implementation_plan.md b/brainstorming_forge_tau/tutorials/6_implementation_plan.md new file mode 100644 index 000000000..79c237815 --- /dev/null +++ b/brainstorming_forge_tau/tutorials/6_implementation_plan.md @@ -0,0 +1,790 @@ +# Part 6: Implementation Plan for Forge + +This part shows how to integrate multi-turn tool calling into Forge GRPO. + +## 6.1 High-Level Strategy + +**Approach:** +1. Start with Pattern A (simple) to get multi-turn working +2. Add response masking +3. Refactor to Pattern B (Tinker-style) for clean code +4. Optimize with async (Pattern D) if needed + +**Focus:** +- Reusable core utilities in `forge/` +- Task-specific code in `examples/tau2bench/` +- OpenEnv integration for training +- Tau2Bench for evaluation + +## 6.2 Overall System Context + +### Full System Configuration + +```yaml +# examples/tau2bench/grpo/config.yaml + +# Generator (vLLM) +policy: + type: "Generator" + model_path: "Qwen/Qwen2.5-1.5B-Instruct" + engine_args: + tensor_parallel_size: 1 + gpu_memory_utilization: 0.9 + max_model_len: 2048 + enable_prefix_caching: true # Helps with multi-turn + +# Trainer +trainer: + type: "TitanTrainer" + learning_rate: 1e-5 + beta: 0.1 # KL penalty + batch_size: 32 + +# Replay Buffer +replay_buffer: + type: "ReplayBuffer" + capacity: 10000 + min_size: 100 + +# Reference Model +ref_model: + type: "ReferenceModel" + model_path: "Qwen/Qwen2.5-1.5B-Instruct" + +# Rollout Configuration +rollout: + group_size: 8 # GRPO group + num_rollout_threads: 4 # Parallel rollout workers + max_turns_per_episode: 10 + use_response_masking: true + +# OpenEnv for Training +openenv: + base_url: "http://localhost:8001" + timeout: 30 + +# Tau2Bench for Evaluation +tau2bench: + domain: "mock" + task_split: "train" # or "test" for final eval +``` + +### General Rollout Loop Structure + +```python +# examples/tau2bench/grpo/main.py + +async def continuous_rollouts( + policy: Generator, + trainer: TitanTrainer, + replay_buffer: ReplayBuffer, + ref_model: ReferenceModel, + reward_actor: RewardActor, + dataloader: DataLoader, + config: dict, +): + """ + Main rollout loop - where play_task() is called. + Adapted from apps/grpo/main.py for multi-turn. + """ + + while True: + # 1. Sample tasks from Tau2Bench dataset + tasks = await sample_tasks(dataloader, batch_size=config.rollout.group_size) + + # 2. Run multi-turn episodes (THIS IS NEW!) + episodes = [] + for task in tasks: + episode = await play_task( + task=task, + policy=policy, + tokenizer=tokenizer, + env=create_env(), + max_turns=config.rollout.max_turns_per_episode + ) + episodes.append(episode) + + # 3. Get reference logprobs (existing Forge code) + ref_logprobs = await get_reference_logprobs(episodes, ref_model) + + # 4. Compute advantages (group-relative) + advantages = compute_advantages([ep.reward for ep in episodes]) + + # 5. Add episodes to replay buffer + for episode, advantage in zip(episodes, advantages): + episode.advantage = advantage + await replay_buffer.add.call_one(episode) + + +async def continuous_training( + trainer: TitanTrainer, + policy: Generator, + replay_buffer: ReplayBuffer, + config: dict, +): + """Training loop (mostly unchanged).""" + + while True: + # Sample batch + batch = await replay_buffer.sample(config.trainer.batch_size) + + # Train with response masking (NEW!) + await trainer.train_step( + inputs=batch["inputs"], + targets=batch["targets"], + advantages=batch["advantages"], + response_mask=batch["response_mask"] # NEW! + ) + + # Update weights + version = await trainer.push_weights() + await policy.update_weights(version) +``` + +### Code Organization Philosophy + +**Decision Framework: Core vs Tau2Bench-Specific?** + +Ask these questions for each function: +1. **Reusable?** Can other benchmarks/tasks use this? +2. **Tau2-specific?** Uses Tau2Bench APIs or formats? +3. **Valuable to others?** Would users find this useful? +4. **Domain logic or infrastructure?** Business logic vs technical infrastructure? + +**If YES to questions 1, 3, 4**: → **Core** (`forge/`) +**If YES to question 2**: → **Task-specific** (`examples/tau2bench/`) + +**Core Utilities** (reusable): +``` +forge/ +├── utils/ +│ ├── parsing.py # parse_tool_call(), parse_response() +│ ├── prompts.py # format_system_prompt() template builder +│ ├── renderers.py # Renderer base class, Qwen3Renderer +│ └── masking.py # build_response_mask(), apply_mask() +├── rollouts/ +│ └── multiturn.py # play_task(), do_rollout() +├── environments/ +│ └── tool_env.py # ToolEnv base class, OpenEnvToolEnv adapter +└── data/ + └── trajectory_processing.py # trajectory_to_episode() +``` + +**Tau2Bench-Specific**: +``` +examples/tau2bench/grpo/ +├── main.py # Training script (continuous_rollouts, etc.) +├── tau2_env.py # Tau2Bench environment adapter +├── tau2_utils.py # Tau2-specific utilities (task loading, scoring) +├── config.yaml # Configuration +└── prompts.py # Task-specific prompt templates +``` + +## 6.3 Core Components Implementation + +### play_task() - The Multi-turn Loop + +**Classification:** ✅ **Core** (`forge/rollouts/multiturn.py`) + +**Reasoning:** +- Reusable across different environments +- Generic multi-turn logic +- Not Tau2Bench-specific + +```python +# forge/rollouts/multiturn.py + +async def play_task( + task: str, + policy: Generator, + tokenizer, + env: ToolEnv, + max_turns: int = 10, +) -> Episode: + """ + Generic multi-turn tool calling loop. + Works with any ToolEnv-compatible environment. + """ + # Initialize + messages = [{"role": "user", "content": task}] + all_tokens = [] + all_logprobs = [] + response_mask = [] + done = False + turn = 0 + + # Multi-turn loop + while not done and turn < max_turns: + # 1. Format prompt + prompt = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=False + ) + + # 2. Generate + response = await policy.generate.route( + prompt, + sampling_params={"temperature": 0.7, "max_tokens": 256} + ) + + # 3. Parse tool call + tool_call = parse_tool_call(response.text) # From forge.utils.parsing + + # 4. Execute or finalize + if tool_call: + # Execute via environment + result = await env.execute_tool(tool_call) + + # Update messages + messages.append({ + "role": "assistant", + "tool_calls": [tool_call] + }) + messages.append({ + "role": "tool", + "content": result + }) + + # Accumulate tokens + all_tokens.extend(response.token_ids) + all_logprobs.extend(response.logprobs) + response_mask.extend([1] * len(response.token_ids)) # Train on LLM + + # Tool result tokens + tool_tokens = tokenizer.encode(result) + all_tokens.extend(tool_tokens) + response_mask.extend([0] * len(tool_tokens)) # Don't train + + done = env.is_done() + else: + # Final answer + messages.append({"role": "assistant", "content": response.text}) + all_tokens.extend(response.token_ids) + all_logprobs.extend(response.logprobs) + response_mask.extend([1] * len(response.token_ids)) + done = True + + turn += 1 + + # Get reward + reward = env.get_final_reward() + + return Episode( + token_ids=all_tokens, + logprobs=all_logprobs, + response_mask=response_mask, + reward=reward, + num_turns=turn, + messages=messages # For debugging + ) +``` + +### parse_response() - Tool Call Detection + +**Classification:** ✅ **Core** (`forge/utils/parsing.py`) + +**Reasoning:** Generic response parsing, reusable + +```python +# forge/utils/parsing.py + +def parse_tool_call(text: str) -> dict | None: + """ + Parse tool call from model output. + Supports multiple formats. + """ + # Format 1: ... + match = re.search(r'(.*?)', text, re.DOTALL) + if match: + try: + return json.loads(match.group(1)) + except json.JSONDecodeError: + pass + + # Format 2: ... + match = re.search(r'(.*?)', text, re.DOTALL) + if match: + try: + return json.loads(match.group(1)) + except json.JSONDecodeError: + pass + + return None + + +def has_tool_call(text: str) -> bool: + """Check if text contains a tool call.""" + return ('' in text or + '' in text or + '{"name":' in text) # JSON format +``` + +### format_system_prompt() - Prompt with Tools + +**Classification:** 🔀 **Hybrid** + +**Reasoning:** +- Core template builder: `forge/utils/prompts.py` +- Task-specific templates: `examples/tau2bench/prompts.py` + +```python +# forge/utils/prompts.py (Core) + +def build_tool_calling_system_prompt( + tools: list[dict], + format_style: str = "tags", +) -> str: + """ + Generic tool calling system prompt builder. + """ + # Format tool schemas + tool_list = [] + for tool in tools: + tool_list.append( + f"- {tool['name']}: {tool.get('description', '')}\n" + f" Parameters: {json.dumps(tool.get('parameters', {}), indent=2)}" + ) + tools_text = "\n".join(tool_list) + + # Base template + if format_style == "tags": + return f"""You are a helpful assistant with access to tools. + +Available tools: +{tools_text} + +To call a tool, use this format: +{{"name": "tool_name", "args": {{"param": "value"}}}} + +When you're done with the task, respond normally without calling any tools. +""" + elif format_style == "hermes": + return f"""You have access to the following tools: +{tools_text} + +Use tools to complete tasks. Format tool calls as JSON.""" + + else: + raise ValueError(f"Unknown format_style: {format_style}") +``` + +```python +# examples/tau2bench/prompts.py (Task-specific) + +def build_tau2_system_prompt(domain: str, tools: list[dict]) -> str: + """Tau2Bench-specific system prompt.""" + base_prompt = build_tool_calling_system_prompt(tools, format_style="tags") + + # Add Tau2-specific instructions + domain_instructions = { + "mock": "You are managing tasks for users. Always confirm actions.", + "airline": "You are a flight booking assistant. Be professional.", + "retail": "You are a customer service agent. Be helpful and courteous.", + } + + return f"""{base_prompt} + +Domain: {domain} +{domain_instructions.get(domain, "")} + +Remember to call done() when you've completed the task. +""" +``` + +### OpenEnv Integration for Tau2Bench + +**Classification:** ⚠️ **Tau2Bench-specific** (`examples/tau2bench/tau2_env.py`) + +**Reasoning:** Tau2-specific setup, task loading, tool registration + +```python +# examples/tau2bench/tau2_env.py + +class Tau2OpenEnv: + """ + OpenEnv adapter for Tau2Bench tasks. + Handles Tau2-specific setup and reward computation. + """ + + def __init__(self, base_url: str, domain: str, task_id: str): + self.client = OpenEnv(base_url=base_url) + self.domain = domain + self.task_id = task_id + self.task_data = self._load_task() + self.tools = self._get_tools() + + def _load_task(self) -> dict: + """Load Tau2Bench task data.""" + # Load from tau2-bench/data/tau2/domains/{domain}/tasks.json + task_file = f"tau2-bench/data/tau2/domains/{self.domain}/tasks.json" + with open(task_file) as f: + tasks = json.load(f) + return next(t for t in tasks if t["id"] == self.task_id) + + def _get_tools(self) -> list[dict]: + """Get tool schemas for this domain.""" + # Domain-specific tools + if self.domain == "mock": + return [ + { + "name": "create_task", + "description": "Create a new task", + "parameters": { + "type": "object", + "properties": { + "user_id": {"type": "string"}, + "title": {"type": "string"}, + "description": {"type": "string"}, + "deadline": {"type": "string"} + }, + "required": ["user_id", "title"] + } + }, + { + "name": "update_task", + "description": "Update task status", + "parameters": { + "type": "object", + "properties": { + "task_id": {"type": "string"}, + "status": {"type": "string"} + }, + "required": ["task_id", "status"] + } + }, + { + "name": "done", + "description": "Signal task completion", + "parameters": {"type": "object", "properties": {}} + } + ] + else: + # Load from domain config + raise NotImplementedError(f"Domain {self.domain} not implemented") + + def reset(self) -> EnvResult: + """Reset environment for this task.""" + result = self.client.reset( + task_id=self.task_id, + domain=self.domain + ) + return result + + def execute_tool(self, tool_call: dict) -> str: + """Execute tool via OpenEnv.""" + result = self.client.step(tool_call) + return result.observation.text + + def is_done(self) -> bool: + """Check if episode is complete.""" + return self.client.state.get("done", False) + + def get_final_reward(self) -> float: + """ + Compute Tau2Bench reward. + Uses Tau2's evaluation criteria. + """ + # Get episode history + history = self.client.get_history() + + # Score using Tau2Bench evaluator + from tau2.evaluator import evaluate_episode + + result = evaluate_episode( + history=history, + evaluation_criteria=self.task_data["evaluation_criteria"] + ) + + return result.final_reward # 0.0 or 1.0 +``` + +**Reward Computation:** +```python +# examples/tau2bench/tau2_utils.py + +def compute_tau2_reward( + task_data: dict, + episode_history: list[dict], +) -> float: + """ + Compute Tau2Bench reward from episode history. + """ + from tau2.evaluator import Evaluator + + evaluator = Evaluator() + + # Evaluate based on criteria + scores = evaluator.evaluate( + history=episode_history, + evaluation_criteria=task_data["evaluation_criteria"] + ) + + # Final reward = product of all scores + final_reward = 1.0 + for score_type, score_value in scores.items(): + final_reward *= score_value + + return final_reward +``` + +## 6.4 Episode Structure for Multi-turn + +```python +# forge/data/episode.py + +@dataclass +class Episode: + """Multi-turn episode with response masking.""" + episode_id: str + pad_id: int + + # Token data (concatenated across all turns) + token_ids: list[int] # All tokens + logprobs: list[float] # Per-token logprobs + response_mask: list[int] # 1=train, 0=ignore (NEW!) + + # Metadata + reward: float + advantage: float | None = None + num_turns: int = 1 + task_id: str = "" + + # Optional: for debugging + messages: list[dict] | None = None + + def mask_tensor(self, max_len: int) -> torch.Tensor: + """Get padded response mask tensor.""" + mask = self.response_mask + [0] * (max_len - len(self.response_mask)) + return torch.tensor(mask[:max_len], dtype=torch.float32) + + def masked_response_tensor(self, max_len: int) -> torch.Tensor: + """Get response tokens with masking applied.""" + response = torch.tensor(self.token_ids, dtype=torch.long) + mask = self.mask_tensor(max_len) + # Apply mask (set masked tokens to pad_id) + response = torch.where( + mask.bool(), + response, + torch.tensor(self.pad_id, dtype=torch.long) + ) + return response +``` + +## 6.5 Integration with Forge GRPO + +**Update continuous_rollouts:** + +```python +# examples/tau2bench/grpo/main.py + +async def continuous_rollouts( + policy: Generator, + trainer: TitanTrainer, + replay_buffer: ReplayBuffer, + ref_model: ReferenceModel, + dataloader: DataLoader, + config: dict, +): + """ + Updated rollout loop for multi-turn tool calling. + """ + while True: + # 1. Sample tasks + tasks = await sample_tau2_tasks(dataloader, config.rollout.group_size) + + # 2. Run multi-turn episodes (parallel) + episode_tasks = [ + play_task( + task=task["ticket"], + policy=policy, + tokenizer=tokenizer, + env=Tau2OpenEnv( + base_url=config.openenv.base_url, + domain=task["domain"], + task_id=task["id"] + ), + max_turns=config.rollout.max_turns_per_episode + ) + for task in tasks + ] + + episodes = await asyncio.gather(*episode_tasks) + + # 3. Get reference logprobs + # Batch all episodes together + all_token_ids = [ep.token_ids for ep in episodes] + max_len = max(len(ids) for ids in all_token_ids) + + # Pad and stack + input_ids = torch.stack([ + torch.tensor(ids + [pad_id] * (max_len - len(ids))) + for ids in all_token_ids + ]) + + ref_logprobs = await ref_model.forward.route( + input_ids=input_ids, + return_logprobs=True + ) + + for i, episode in enumerate(episodes): + episode.ref_logprobs = ref_logprobs[i, :len(episode.token_ids)] + + # 4. Compute advantages (group-relative) + rewards = [ep.reward for ep in episodes] + advantages = compute_advantages(rewards) + + for episode, advantage in zip(episodes, advantages): + episode.advantage = advantage + + # 5. Add to replay buffer + for episode in episodes: + await replay_buffer.add.call_one(episode) + + +def compute_advantages(rewards: list[float]) -> list[float]: + """Group-relative advantage computation (GRPO).""" + mean_reward = np.mean(rewards) + std_reward = np.std(rewards) + 1e-8 + advantages = [(r - mean_reward) / std_reward for r in rewards] + return advantages +``` + +**Episode Creation Strategy:** + +For Forge, **Strategy B (concatenated)** is recommended: +- All turns concatenated into one Episode +- Response mask distinguishes LLM output from tool results +- Gradient flows through entire trajectory +- Matches Forge's existing Episode structure better + +## 6.6 GRPO Loss with Response Masking + +**Reference existing Forge code:** +- `/home/felipemello/forge/src/forge/losses/reinforce_loss.py` already has `target_mask` +- `/home/felipemello/forge/apps/grpo/main.py` uses `compute_logprobs` and `F.cross_entropy` + +**Add response_mask parameter:** + +```python +# forge/losses/grpo_loss.py + +def grpo_loss_with_masking( + logits: torch.Tensor, # [batch, seq_len, vocab_size] + response: torch.Tensor, # [batch, seq_len] + response_mask: torch.Tensor, # [batch, seq_len] - NEW! + ref_logprobs: torch.Tensor, # [batch, seq_len] + advantages: torch.Tensor, # [batch, seq_len] + padding_mask: torch.Tensor, # [batch, seq_len] + beta: float = 0.1, +) -> torch.Tensor: + """ + GRPO loss with response masking. + Combines padding_mask (existing) with response_mask (new). + """ + # Compute logprobs (memory-efficient using F.cross_entropy) + logprobs = compute_logprobs(logits, response) + + # Combine masks: padding AND response masking + combined_mask = padding_mask * response_mask + + # KL divergence + kl = logprobs - ref_logprobs + + # Policy gradient loss + pg_loss = -advantages * (logprobs - beta * kl) + + # Apply combined mask and reduce + masked_loss = pg_loss * combined_mask + loss = masked_loss.sum() / (combined_mask.sum() + 1e-8) + + return loss + + +def compute_logprobs(logits: torch.Tensor, targets: torch.Tensor) -> torch.Tensor: + """Compute log probabilities using cross_entropy (memory efficient).""" + # Shift for next-token prediction + shift_logits = logits[..., :-1, :].contiguous() + shift_targets = targets[..., 1:].contiguous() + + # Compute log probs + loss = F.cross_entropy( + shift_logits.view(-1, shift_logits.size(-1)), + shift_targets.view(-1), + reduction='none' + ) + + return -loss.view(shift_logits.size(0), shift_logits.size(1)) +``` + +**Key addition:** `response_mask` is the only new parameter. Loss computation is unchanged. + +## 6.7 Enabling Async in Forge (Performance) + +### Current Forge Async Mechanism + +Forge uses Monarch actors for async communication (not vLLM's `async_engine` flag). + +**How Forge handles async:** +- Generator is a distributed actor +- `await policy.generate.route()` sends async request to Generator actor +- vLLM engine runs on separate GPUs +- Response returned via actor system + +**No configuration needed** - Forge handles this automatically! + +### Making play_task Async + +Already async in implementation above (`async def play_task()`). + +### Running Multiple Tasks Concurrently + +```python +# Pattern from 6.5 above +episode_tasks = [ + play_task(task, policy, tokenizer, env) + for task in tasks +] +episodes = await asyncio.gather(*episode_tasks) +``` + +### Performance Best Practices + +**1. Parallel Episode Processing:** + +```python +# DON'T: Sequential reward computation +for episode in episodes: + episode.reward = await compute_reward(episode) # Slow! + +# DO: Parallel reward computation +reward_tasks = [compute_reward(ep) for ep in episodes] +rewards = await asyncio.gather(*reward_tasks) +for episode, reward in zip(episodes, rewards): + episode.reward = reward +``` + +**2. Batching Reference Model Calls:** + +```python +# DON'T: One episode at a time +for episode in episodes: + ref_logprobs = await ref_model.forward(episode.token_ids) + +# DO: Batch all episodes +all_token_ids = [ep.token_ids for ep in episodes] +ref_logprobs_batch = await ref_model.forward(batch_tensor) +# Huge speedup! +``` + +**3. Pipeline Rollouts and Training:** + +Forge already does this via replay buffer! +- Rollout threads: `continuous_rollouts()` (multiple parallel) +- Training thread: `continuous_training()` +- Decoupled via replay buffer +- No changes needed + +--- + +**Next**: Part 7 shows how to evaluate your trained model on Tau2Bench. diff --git a/brainstorming_forge_tau/tutorials/7_evaluating_on_tau2bench.md b/brainstorming_forge_tau/tutorials/7_evaluating_on_tau2bench.md new file mode 100644 index 000000000..dba74ac3d --- /dev/null +++ b/brainstorming_forge_tau/tutorials/7_evaluating_on_tau2bench.md @@ -0,0 +1,473 @@ +# Part 7: Evaluating Your Trained Model on Tau2Bench + +Once you've trained a model with multi-turn tool calling, you need to evaluate it on Tau2Bench to measure performance. + +## 7.1 Running Tau2Bench Evaluation + +### Using tau2 CLI Command + +**Basic usage:** +```bash +tau2 run \ + --domain mock \ + --agent-llm /path/to/your/trained/model \ + --mode solo +``` + +**Full options:** +```bash +tau2 run \ + --domain mock \ + --task-split test \ + --agent-llm /path/to/model \ + --mode solo \ + --output-dir ./results/tau2_eval \ + --num-workers 4 +``` + +**Configuration options:** + +| Flag | Description | Default | +|------|-------------|---------| +| `--domain` | Which domain to evaluate (mock, airline, retail, telecom) | Required | +| `--agent-llm` | Path to your model | Required | +| `--mode` | solo or normal | solo | +| `--task-split` | train, test, or base | base | +| `--output-dir` | Where to save results | ./results | +| `--num-workers` | Parallel evaluation workers | 1 | +| `--max-turns` | Max turns per episode | 10 | + +### How to Point to Your Trained Model + +**Option 1: HuggingFace checkpoint path** +```bash +tau2 run \ + --domain mock \ + --agent-llm "felipemello/qwen-tau2-finetuned" \ + --mode solo +``` + +**Option 2: Local checkpoint directory** +```bash +tau2 run \ + --domain mock \ + --agent-llm "/home/felipemello/forge/checkpoints/tau2_grpo/step_1000" \ + --mode solo +``` + +**Option 3: Using Forge saved checkpoints** + +Forge saves checkpoints via torchstore. Convert to HF format first: + +```python +# Convert Forge checkpoint to HuggingFace format +from transformers import AutoModelForCausalLM, AutoTokenizer + +# Load from torchstore +model_path = trainer.load_checkpoint(version=latest_version) + +# Load model +model = AutoModelForCausalLM.from_pretrained(model_path) +tokenizer = AutoTokenizer.from_pretrained(base_model_path) + +# Save in HF format +model.save_pretrained("./checkpoints/hf_format") +tokenizer.save_pretrained("./checkpoints/hf_format") +``` + +Then use: +```bash +tau2 run \ + --domain mock \ + --agent-llm "./checkpoints/hf_format" \ + --mode solo +``` + +## 7.2 Programmatic Evaluation (Gym Interface) + +For more control, use Tau2's Gym interface: + +```python +# examples/tau2bench/evaluate.py + +import gymnasium as gym +from tau2.gym import register_gym_agent, TAU_BENCH_ENV_ID +from transformers import AutoModelForCausalLM, AutoTokenizer + +# Register Tau2 gym environment +register_gym_agent() + +# Load your trained model +model_path = "./checkpoints/hf_format" +model = AutoModelForCausalLM.from_pretrained(model_path) +tokenizer = AutoTokenizer.from_pretrained(model_path) + + +def evaluate_on_tau2(domain: str, task_split: str = "test"): + """Evaluate model on Tau2Bench tasks.""" + + # Get all tasks for this domain + from tau2.data_model import load_tasks + tasks = load_tasks(domain=domain, split=task_split) + + results = [] + + for task in tasks: + # Create environment for this task + env = gym.make( + TAU_BENCH_ENV_ID, + domain=domain, + task_id=task["id"] + ) + + # Run episode + observation, info = env.reset() + done = False + turn = 0 + max_turns = 10 + + while not done and turn < max_turns: + # Build prompt + prompt = observation # Tau2 provides formatted observation + + # Generate response + inputs = tokenizer(prompt, return_tensors="pt") + outputs = model.generate( + **inputs, + max_new_tokens=256, + temperature=0.7 + ) + response_text = tokenizer.decode(outputs[0], skip_special_tokens=True) + + # Step environment + observation, reward, terminated, truncated, info = env.step(response_text) + done = terminated or truncated + turn += 1 + + # Collect result + results.append({ + "task_id": task["id"], + "reward": reward, + "num_turns": turn, + "success": reward > 0.5 + }) + + return results + + +# Run evaluation +results = evaluate_on_tau2(domain="mock", task_split="test") + +# Print summary +successes = sum(1 for r in results if r["success"]) +print(f"Success rate: {successes}/{len(results)} = {successes/len(results)*100:.1f}%") +print(f"Average reward: {sum(r['reward'] for r in results) / len(results):.3f}") +``` + +### Collecting Metrics + +```python +# examples/tau2bench/evaluate.py (continued) + +def aggregate_metrics(results: list[dict]) -> dict: + """Compute aggregate metrics.""" + return { + "total_tasks": len(results), + "successes": sum(1 for r in results if r["success"]), + "success_rate": sum(r["success"] for r in results) / len(results), + "average_reward": sum(r["reward"] for r in results) / len(results), + "average_turns": sum(r["num_turns"] for r in results) / len(results), + "max_reward": max(r["reward"] for r in results), + "min_reward": min(r["reward"] for r in results), + } + + +def save_results(results: list[dict], metrics: dict, output_path: str): + """Save evaluation results.""" + import json + + output = { + "metrics": metrics, + "per_task_results": results, + "timestamp": datetime.now().isoformat() + } + + with open(output_path, "w") as f: + json.dump(output, f, indent=2) + + print(f"Results saved to {output_path}") + + +# Use it +metrics = aggregate_metrics(results) +save_results(results, metrics, "./results/eval_results.json") +``` + +## 7.3 Interpreting Results + +### Understanding Tau2Bench Scores + +Tau2Bench computes multiple sub-scores that combine into final reward: + +```python +# Example result breakdown +{ + "task_id": "create_task_1", + "scores": { + "ACTION": 1.0, # Called correct tools with correct args + "ENV": 1.0, # Environment state is correct + "COMMUNICATE": 1.0, # Communicated required info to user + "NL_ASSERTIONS": 1.0 # (Optional) LLM-judged quality + }, + "final_reward": 1.0 # Product of all scores +} +``` + +**Score meanings:** + +**ACTION Score (0.0 or 1.0):** +- ✅ 1.0: Agent called all required tools with correct arguments +- ❌ 0.0: Missing tools or wrong arguments + +**ENV Score (0.0 or 1.0):** +- ✅ 1.0: Environment state matches expectations +- ❌ 0.0: Database inconsistencies, wrong object states + +**COMMUNICATE Score (0.0 or 1.0):** +- ✅ 1.0: Agent communicated all required information +- ❌ 0.0: Missing confirmations or key details + +**NL_ASSERTIONS Score (0.0-1.0):** +- LLM-based evaluation (experimental) +- Checks conversation quality, tone, etc. + +**Final Reward:** +```python +final_reward = ACTION * ENV * COMMUNICATE * NL_ASSERTIONS +``` + +If ANY component is 0, final reward is 0! + +### Debugging Failed Episodes + +**Inspect conversation history:** + +```python +def debug_failed_episode(task_id: str, domain: str): + """Inspect a failed episode.""" + env = gym.make(TAU_BENCH_ENV_ID, domain=domain, task_id=task_id) + + observation, info = env.reset() + messages = [] + done = False + + while not done: + # Generate (your model) + response = generate_response(observation) + messages.append({"role": "assistant", "content": response}) + + # Step + observation, reward, terminated, truncated, info = env.step(response) + messages.append({"role": "environment", "content": observation}) + done = terminated or truncated + + # Print full conversation + print(f"=== Episode: {task_id} ===") + for i, msg in enumerate(messages): + print(f"Turn {i}: [{msg['role']}] {msg['content']}") + + # Check what went wrong + print(f"\n=== Evaluation ===") + print(f"Final reward: {reward}") + print(f"Score breakdown: {info.get('scores', {})}") + + # Compare to expected + task_data = load_task(domain, task_id) + print(f"\n=== Expected Actions ===") + for action in task_data["evaluation_criteria"]["actions"]: + print(f"- {action['name']}({action['arguments']})") +``` + +**Common failure modes:** + +1. **Agent doesn't call tools** (ACTION=0) + - **Symptom**: Model generates text response instead of tool call + - **Fix**: Improve prompt engineering, more training on tool calling + +2. **Wrong tool arguments** (ACTION=0) + - **Symptom**: Tool called with incorrect parameters + - **Fix**: Better parsing, more diverse training data + +3. **Environment state wrong** (ENV=0) + - **Symptom**: Tools executed but state inconsistent + - **Fix**: Check tool execution logic, verify OpenEnv integration + +4. **Missing communication** (COMMUNICATE=0) + - **Symptom**: Agent completes task but doesn't confirm + - **Fix**: Add confirmation prompts, train on communication examples + +### Common Issues and Fixes + +**Issue 1: Model generates text instead of tool calls** + +```python +# Diagnosis: +# Response: "I'll create that task for you." +# Expected: {"name": "create_task", ...} + +# Fixes: +# 1. Check system prompt includes tool format +system_prompt = build_tool_calling_system_prompt(tools) + +# 2. Add few-shot examples +few_shot_examples = """ +Example: +User: Create a task called "Meeting" +Assistant: {"name": "create_task", "args": {"title": "Meeting"}} +""" + +# 3. Train on more tool calling data +``` + +**Issue 2: Environment state doesn't match expectations** + +```python +# Diagnosis: +# ENV score = 0 +# Expected: task_id="task_123" has status="completed" +# Actual: task_id="task_123" has status="pending" + +# Fixes: +# 1. Check tool execution +result = env.execute_tool(tool_call) +print(f"Tool result: {result}") # Verify success + +# 2. Verify OpenEnv is properly integrated +# Make sure tools actually modify environment state + +# 3. Check done() is called +# Tau2 requires explicit done() call to finalize +``` + +**Issue 3: Reward is always 0** + +```python +# Diagnosis: +# All scores show 0.0 + +# Check: +# 1. Is episode ending properly? +if not (agent_called_done or user_stopped): + # Episode didn't end correctly → reward = 0 + # Fix: Ensure done() tool is available and called + +# 2. Check task_split +# Don't evaluate on 'train' split if you trained on it! +# Use task_split='test' for fair evaluation +``` + +**Issue 4: Parser doesn't detect tool calls** + +```python +# Diagnosis: +# Model outputs: "I'll call create_task with title=Meeting" +# Parser returns: None + +# Fix: +def parse_tool_call(text: str): + # Add more robust parsing + # Try multiple formats + + # Format 1: Tagged + if "" in text: + match = re.search(r'(.*?)', text) + if match: + return json.loads(match.group(1)) + + # Format 2: Plain JSON + if '{"name":' in text: + match = re.search(r'\{.*"name".*\}', text) + if match: + return json.loads(match.group(0)) + + return None +``` + +### Example Evaluation Script + +**Complete evaluation with debugging:** + +```python +# examples/tau2bench/eval_with_debug.py + +def evaluate_and_debug( + model_path: str, + domain: str, + task_split: str = "test", + debug_failures: bool = True, +): + """Evaluate with automatic debugging of failures.""" + + model = AutoModelForCausalLM.from_pretrained(model_path) + tokenizer = AutoTokenizer.from_pretrained(model_path) + + tasks = load_tasks(domain, task_split) + results = [] + failures = [] + + for task in tasks: + env = gym.make(TAU_BENCH_ENV_ID, domain=domain, task_id=task["id"]) + + # Run episode + observation, info = env.reset() + done = False + messages = [] + + while not done: + prompt = build_prompt(observation, info["tools"]) + response = generate(model, tokenizer, prompt) + + messages.append({"role": "assistant", "content": response}) + observation, reward, terminated, truncated, info = env.step(response) + messages.append({"role": "env", "content": observation}) + done = terminated or truncated + + # Record result + result = { + "task_id": task["id"], + "reward": reward, + "scores": info.get("scores", {}), + "messages": messages + } + results.append(result) + + # Debug failures + if reward < 0.5 and debug_failures: + failures.append(result) + print(f"\n❌ FAILED: {task['id']}") + print(f" Scores: {result['scores']}") + print(f" Last 3 turns:") + for msg in messages[-3:]: + print(f" [{msg['role']}] {msg['content'][:100]}") + + # Summary + success_rate = sum(r["reward"] > 0.5 for r in results) / len(results) + print(f"\n{'='*50}") + print(f"Success Rate: {success_rate*100:.1f}%") + print(f"Average Reward: {sum(r['reward'] for r in results) / len(results):.3f}") + + if failures: + print(f"\n{len(failures)} failures. Common issues:") + action_fails = sum(1 for f in failures if f["scores"].get("ACTION", 1) == 0) + env_fails = sum(1 for f in failures if f["scores"].get("ENV", 1) == 0) + comm_fails = sum(1 for f in failures if f["scores"].get("COMMUNICATE", 1) == 0) + print(f" - ACTION failures: {action_fails}") + print(f" - ENV failures: {env_fails}") + print(f" - COMMUNICATE failures: {comm_fails}") + + return results +``` + +--- + +**Next**: Part 8 provides the complete implementation roadmap with effort estimates. diff --git a/brainstorming_forge_tau/tutorials/8_implementation_roadmap.md b/brainstorming_forge_tau/tutorials/8_implementation_roadmap.md new file mode 100644 index 000000000..be0ebb3e2 --- /dev/null +++ b/brainstorming_forge_tau/tutorials/8_implementation_roadmap.md @@ -0,0 +1,540 @@ +# Part 8: Implementation Roadmap + +## 8.1 Already Supported in Forge ✅ + +Your Forge implementation already has: + +- ✅ **vLLM v1 Engine** (Generator) +- ✅ **Async generation** via Monarch actors +- ✅ **Distributed training** (Monarch process mesh) +- ✅ **GRPO algorithm** (group relative policy optimization) +- ✅ **Replay buffer** (decoupled rollout/training) +- ✅ **Reference model** (for KL divergence) +- ✅ **Multi-GPU support** +- ✅ **Episode management** (dataclass structure) +- ✅ **Weight syncing** via torchstore +- ✅ **Async rollout loops** (`continuous_rollouts`) + +**This is a solid foundation!** Multi-turn tool calling adds on top of this. + +## 8.2 What Needs to Be Added 🔧 + +### 1. Response Parsing for Tool Calls (2-4 hours) + +**What:** Detect and parse tool calls from model output + +**Files to create:** +- `forge/utils/parsing.py` + +**Functions:** +```python +def parse_tool_call(text: str) -> dict | None +def has_tool_call(text: str) -> bool +def parse_multiple_tool_calls(text: str) -> list[dict] +``` + +**Effort:** 2-4 hours (simple regex/JSON parsing) + +### 2. Multi-turn Rollout Loop (6-8 hours) + +**What:** Core `play_task()` function with multi-turn logic + +**Files to create:** +- `forge/rollouts/multiturn.py` + +**Functions:** +```python +async def play_task( + task: str, + policy: Generator, + tokenizer, + env: ToolEnv, + max_turns: int +) -> Episode +``` + +**Effort:** 6-8 hours (core logic, testing, debugging) + +### 3. Tool Environment (4-8 hours) + +**What:** OpenEnv integration for Tau2Bench + +**Files to create:** +- `forge/environments/tool_env.py` (base class) +- `examples/tau2bench/tau2_env.py` (Tau2-specific adapter) + +**Classes:** +```python +class ToolEnv(ABC): + async def initial_observation() + async def step(action) + def get_final_reward() + +class Tau2OpenEnv(ToolEnv): + # Tau2Bench-specific implementation +``` + +**Effort:** 4-8 hours (environment setup, tool execution, reward computation) + +### 4. Response Masking (4-6 hours) + +**What:** Track which tokens to train on + +**Files to modify/create:** +- `forge/data/episode.py` (add `response_mask` field) +- `forge/losses/grpo_loss.py` (add masking to loss) +- `forge/utils/masking.py` (masking utilities) + +**Functions:** +```python +def build_response_mask(messages: list[dict], tokenizer) -> list[int] +def apply_mask_to_loss(loss: Tensor, mask: Tensor) -> Tensor +``` + +**Effort:** 4-6 hours (dataclass updates, loss function modification, testing) + +### 5. Tool Schema Generation (2-4 hours) + +**What:** Convert Python functions to OpenAI tool schemas + +**Files to create:** +- `forge/utils/tool_schemas.py` + +**Functions:** +```python +def convert_func_to_oai_tool(func: callable) -> dict +def format_tools_for_prompt(tools: list[dict]) -> str +``` + +**Effort:** 2-4 hours (type hint parsing, schema generation) + +### 6. System Prompt Formatting (2-3 hours) + +**What:** Format prompts with tool definitions + +**Files to create:** +- `forge/utils/prompts.py` (core templates) +- `examples/tau2bench/prompts.py` (task-specific) + +**Functions:** +```python +def build_tool_calling_system_prompt(tools: list[dict]) -> str +def build_tau2_system_prompt(domain: str, tools: list[dict]) -> str +``` + +**Effort:** 2-3 hours (template creation, testing) + +### 7. Tau2 Evaluation Integration (4-6 hours) + +**What:** Scripts to evaluate on Tau2Bench + +**Files to create:** +- `examples/tau2bench/evaluate.py` +- `examples/tau2bench/eval_with_debug.py` + +**Functions:** +```python +def evaluate_on_tau2(model_path: str, domain: str) -> dict +def debug_failed_episode(task_id: str) -> None +``` + +**Effort:** 4-6 hours (evaluation loop, metrics, debugging tools) + +## 8.3 Implementation Checklist + +### Phase 1: Minimum Viable Tool Calling (1-2 days) + +**Goal:** Get basic multi-turn working on one task + +- [ ] **Step 1:** Implement `parse_tool_call()` in `forge/utils/parsing.py` + - Test with sample responses + - Handle edge cases (malformed JSON, etc.) + +- [ ] **Step 2:** Create basic `ToolEnv` interface in `forge/environments/tool_env.py` + - Abstract base class + - Simple mock implementation for testing + +- [ ] **Step 3:** Implement `play_task()` in `forge/rollouts/multiturn.py` + - Start with Pattern A (simple concat) + - No masking yet + - Test with mock environment + +- [ ] **Step 4:** Test end-to-end on simple task + - Use mock domain + - Single task: create_task + - Verify multi-turn loop works + - Check episode structure + +**Validation:** +```bash +# Should complete without errors +python -m forge.rollouts.multiturn_test +``` + +### Phase 2: Integration with Forge GRPO (2-3 days) + +**Goal:** Full training loop with masking + +- [ ] **Step 5:** Add `response_mask` to Episode dataclass + - Update `forge/data/episode.py` + - Add helper methods (`mask_tensor()`, etc.) + - Update serialization if needed + +- [ ] **Step 6:** Implement response masking utilities + - Create `forge/utils/masking.py` + - Build masks during `play_task()` + - Test mask correctness + +- [ ] **Step 7:** Update GRPO loss with masking + - Modify `forge/losses/grpo_loss.py` + - Add `response_mask` parameter + - Combine with padding mask + - Verify gradients flow correctly + +- [ ] **Step 8:** Update `continuous_rollouts` to use `play_task()` + - Modify `examples/tau2bench/grpo/main.py` + - Handle multi-turn episodes + - Batch reference model calls + - Test with small batch + +- [ ] **Step 9:** Test training loop + - Run 10 training steps + - Verify loss decreases + - Check GPU memory usage + - Monitor metrics + +**Validation:** +```bash +# Should train successfully +python examples/tau2bench/grpo/main.py --config config.yaml --steps 10 +``` + +### Phase 3: Production-Ready (3-5 days) + +**Goal:** Complete, robust implementation + +- [ ] **Step 10:** Implement tool schema generation + - Create `forge/utils/tool_schemas.py` + - Support type-hinted functions + - Generate OpenAI-compatible schemas + - Test with Tau2 tools + +- [ ] **Step 11:** Create system prompt templates + - Core templates in `forge/utils/prompts.py` + - Tau2-specific in `examples/tau2bench/prompts.py` + - Test prompt quality + +- [ ] **Step 12:** Implement Tau2OpenEnv + - Create `examples/tau2bench/tau2_env.py` + - Load Tau2 tasks + - Execute tools via OpenEnv + - Compute Tau2 rewards + - Test on all mock domain tasks + +- [ ] **Step 13:** Add comprehensive logging + - Log episode details + - Track multi-turn metrics (turns per episode, etc.) + - Monitor tool call success rate + - Save failed episodes for debugging + +- [ ] **Step 14:** Error handling and edge cases + - Tool execution timeouts + - Malformed tool calls + - Max turns limit + - Environment errors + - Graceful degradation + +- [ ] **Step 15:** Refactor to Pattern B (Tinker-style) + - Implement Renderer class + - Clean up abstractions + - Improve code organization + - Add tests + +**Validation:** +```bash +# Should handle all cases robustly +python examples/tau2bench/grpo/main.py --config config.yaml --steps 100 +# Check logs for errors +``` + +### Phase 4: Tau2Bench Evaluation (1-2 days) + +**Goal:** Evaluate trained model on benchmark + +- [ ] **Step 16:** Implement evaluation script + - Create `examples/tau2bench/evaluate.py` + - Load trained checkpoint + - Run on Tau2 test split + - Collect metrics + +- [ ] **Step 17:** Add debugging tools + - Create `examples/tau2bench/eval_with_debug.py` + - Inspect failed episodes + - Analyze score breakdown + - Generate debug reports + +- [ ] **Step 18:** Create results analysis + - Aggregate metrics (success rate, avg reward, etc.) + - Per-domain breakdown + - Per-task results + - Visualizations (optional) + +- [ ] **Step 19:** Run full evaluation on trained model + - Train on mock domain (train split) + - Evaluate on mock domain (test split) + - Analyze results + - Iterate on prompts/training based on failures + +**Validation:** +```bash +# Evaluate on Tau2Bench +python examples/tau2bench/evaluate.py \ + --model ./checkpoints/tau2_grpo \ + --domain mock \ + --split test + +# Should output success rate and detailed metrics +``` + +## Total Estimated Effort + +| Phase | Days | Cumulative | +|-------|------|------------| +| Phase 1: MVP | 1-2 | 1-2 | +| Phase 2: Integration | 2-3 | 3-5 | +| Phase 3: Production | 3-5 | 6-10 | +| Phase 4: Evaluation | 1-2 | 7-12 | + +**Total: 1.5 - 2.5 weeks** for complete implementation + +**Breakdown by complexity:** +- **Simple** (Phase 1): Get it working +- **Medium** (Phase 2): Integrate with Forge +- **Complex** (Phase 3): Production-ready, robust +- **Validation** (Phase 4): Measure performance + +## 8.4 Next Steps and Quick Reference + +### Immediate Next Steps + +1. **Choose a pattern** from Part 5 + - **Recommendation**: Start with Pattern A (simple concat) + - Move to Pattern B (Tinker) when stable + +2. **Set up environment** + - Start OpenEnv Docker server + - Load Tau2Bench data + - Test basic connectivity + +3. **Implement Phase 1** (MVP) + - `parse_tool_call()` function + - Basic `play_task()` loop + - Mock environment for testing + - Verify multi-turn works + +4. **Test on one task** + - Mock domain: create_task_1 + - Run end-to-end + - Debug and iterate + +5. **Scale up** + - Add response masking + - Integrate with GRPO + - Train on full mock domain + +### Key Files to Create + +**Core Utilities** (reusable): +``` +forge/ +├── utils/ +│ ├── parsing.py # parse_tool_call(), has_tool_call() +│ ├── prompts.py # build_tool_calling_system_prompt() +│ ├── renderers.py # Renderer, Qwen3Renderer +│ ├── masking.py # build_response_mask() +│ └── tool_schemas.py # convert_func_to_oai_tool() +├── rollouts/ +│ └── multiturn.py # play_task(), do_rollout() +├── environments/ +│ └── tool_env.py # ToolEnv base class +├── data/ +│ ├── episode.py # Updated Episode with response_mask +│ └── trajectory_processing.py # trajectory_to_episode() +└── losses/ + └── grpo_loss.py # grpo_loss_with_masking() +``` + +**Tau2Bench Example** (task-specific): +``` +examples/tau2bench/grpo/ +├── main.py # Training script +├── tau2_env.py # Tau2OpenEnv adapter +├── tau2_utils.py # Task loading, reward computation +├── prompts.py # Tau2-specific prompt templates +├── config.yaml # Configuration +├── evaluate.py # Evaluation script +└── eval_with_debug.py # Debugging tools +``` + +### Key Concepts Recap + +**Multi-turn** = multiple back-and-forth exchanges in one episode +- Loop until done or max_turns +- Accumulate conversation history +- Concatenate tokens from all turns + +**Tool calling** = model invokes functions, not just text +- Parse tool calls from output +- Execute via environment +- Add results to history +- Continue loop + +**Response mask** = which tokens to train on +- 1 = LLM-generated (train) +- 0 = Tool results, prompts (ignore) +- Apply during loss computation + +**Environment** = executes tools, manages state, provides rewards +- `.reset()` - start episode +- `.step(action)` - execute tool +- `.get_final_reward()` - score episode + +**Sparse reward** = only at episode end +- Intermediate steps: reward = 0.0 +- Final step: reward from environment +- Matches Tau2Bench pattern + +### Questions to Answer as You Implement + +**Pattern Selection:** +- Start with Pattern A or B? + - **A** if you want simplest path + - **B** if you want clean code from start + +**Code Organization:** +- Which utilities are core vs task-specific? + - Use decision framework from Part 6.2 + +**OpenEnv Setup:** +- How to configure OpenEnv for Tau2Bench? + - Docker container with Tau2 tools + - See Tau2 docs for environment setup + +**Evaluation:** +- When to evaluate on Tau2? + - After Phase 3 (production-ready) + - Use test split, not train + +### Troubleshooting Tips + +**If multi-turn loop doesn't work:** +- Check `parse_tool_call()` with print statements +- Verify environment returns correct observations +- Test with max_turns=1 first (single-turn) + +**If training fails:** +- Check response_mask is correct shape +- Verify mask applied in loss function +- Start with small batch (batch_size=2) +- Monitor GPU memory + +**If evaluation fails:** +- Check model outputs tool calls correctly +- Verify prompt includes tool definitions +- Test parser with model outputs +- Inspect failed episode conversation + +**If Tau2 scores are low:** +- Check ACTION score (are tools called?) +- Check ENV score (is state correct?) +- Debug individual failed tasks +- Iterate on prompts and training + +### Success Metrics + +**Phase 1 (MVP):** +- ✅ Multi-turn loop completes without errors +- ✅ Episodes have correct token structure +- ✅ Can run on mock task + +**Phase 2 (Integration):** +- ✅ Training runs for 100 steps +- ✅ Loss decreases +- ✅ Response masking applied correctly +- ✅ No GPU OOM errors + +**Phase 3 (Production):** +- ✅ Handles all edge cases gracefully +- ✅ Clean, maintainable code +- ✅ Comprehensive logging +- ✅ All mock domain tasks work + +**Phase 4 (Evaluation):** +- ✅ Success rate > 0% on Tau2 test split +- ✅ Can identify failure modes +- ✅ Metrics match expectations +- ✅ Model improves with training + +### Final Checklist + +Before considering implementation complete: + +- [ ] Multi-turn loop works on all Tau2 mock tasks +- [ ] Response masking tested and verified +- [ ] Training loop stable for 1000+ steps +- [ ] Evaluation script produces meaningful results +- [ ] Code is clean and documented +- [ ] Tests pass +- [ ] Can reproduce results +- [ ] Performance metrics logged +- [ ] Ready to scale to other domains (airline, retail, etc.) + +--- + +## 9. Open Questions for Further Research + +Based on the tutorial creation, here are open questions to investigate: + +### 1. Forge Async Engine Support +**Question:** Does Forge Generator support vLLM's `async_engine: true` flag, or does Monarch handle async differently? +**Action:** Check `forge/actors/generator.py` to understand async mechanism +**Impact:** Affects Pattern D implementation (async pipelining) + +### 2. vLLM Configuration Flags in Forge +**Question:** Which vLLM flags work with Forge Generator? (`enable_auto_tool_choice`, `tool_call_parser`, etc.) +**Action:** Test different EngineArgs flags +**Impact:** Determines if Pattern E (native tools) is directly usable + +### 3. Optimal Episode Strategy for Forge +**Question:** Strategy A (per-step) vs Strategy B (concatenated) - which performs better with Forge GRPO? +**Action:** Benchmark both on same task +**Impact:** Choose default pattern for production + +### 4. Response Masking Performance +**Question:** How much does response masking improve sample efficiency? +**Action:** Train with/without masking, compare convergence +**Impact:** Validate masking is worth the complexity + +### 5. OpenEnv + Tau2Bench Integration Details +**Question:** Best way to set up OpenEnv Docker containers with Tau2Bench tools? +**Action:** Create setup script and test +**Impact:** Ease of getting started + +### 6. Memory Scaling +**Question:** How many concurrent samples can run with async pipelining before GPU OOM? +**Action:** Benchmark with different batch sizes +**Impact:** Production deployment planning + +### 7. Model Tool Calling Capability +**Question:** Does Qwen2.5-1.5B need fine-tuning for tool calling, or can it zero-shot? +**Action:** Test base model on Tau2 before training +**Impact:** Determines if SFT phase needed before RL + +### 8. Alternative Reward Shaping +**Question:** Can dense rewards (per-step) improve over sparse (end-of-episode)? +**Action:** Experiment with reward shaping on mock domain +**Impact:** Better credit assignment strategies + +--- + +**You now have 8 complete tutorial documents!** Start with Part 1 and work through sequentially. Good luck with your implementation! 🚀 From 5a1a6b50fb813d5c7bcd8739ecaacd6ecb0a240d Mon Sep 17 00:00:00 2001 From: Felipe Mello Date: Sat, 15 Nov 2025 13:08:32 -0800 Subject: [PATCH 04/11] blackjack start --- apps/blackjack/README.md | 300 +++++++++++ apps/blackjack/__init__.py | 5 + apps/blackjack/main.py | 896 +++++++++++++++++++++++++++++++++ apps/blackjack/qwen3_1_7b.yaml | 151 ++++++ 4 files changed, 1352 insertions(+) create mode 100644 apps/blackjack/README.md create mode 100644 apps/blackjack/__init__.py create mode 100644 apps/blackjack/main.py create mode 100644 apps/blackjack/qwen3_1_7b.yaml diff --git a/apps/blackjack/README.md b/apps/blackjack/README.md new file mode 100644 index 000000000..f1457c1c4 --- /dev/null +++ b/apps/blackjack/README.md @@ -0,0 +1,300 @@ +# Blackjack GRPO Training + +## Overview + +This project implements GRPO (Group Relative Policy Optimization) training for teaching an LLM to play Blackjack using the OpenSpiel environment from OpenEnv. + +**Key Achievement**: Successfully adapted the single-turn GSM8K GRPO example to work with multi-step game-based RL, where each game produces multiple episodes with shared final rewards. + +--- + +## Quick Start + +```bash +# Run training +python -m apps.blackjack.main --config apps/blackjack/qwen3_1_7b.yaml +``` + +--- + +## Required OpenEnv Fixes + +⚠️ **IMPORTANT**: The following fixes must be applied to `/home/felipemello/OpenEnv` for the blackjack training to work correctly. + +### Fix 1: HTTP Server Metadata Stripping + +**Problem**: The HTTP server was explicitly removing the `metadata` field before sending observations to clients, causing game state information to be lost. + +**File**: `/home/felipemello/OpenEnv/src/core/env_server/http_server.py` + +**Line to Remove**: Line 153 (approximately) +```python +obs_dict.pop("metadata", None) # Remove metadata from observation ← DELETE THIS LINE +``` + +**Why**: The client expects metadata to contain game state info like `player_total` and `dealer_card`. Without this fix, all metadata arrives as an empty dict `{}`. + +--- + +### Fix 2: Dealer Card Value Conversion + +**Problem**: OpenSpiel's `dealers_visible_card()` returns a card index (0-51) representing which physical card in the deck, not the blackjack value (1-10). + +**File**: `/home/felipemello/OpenEnv/src/envs/openspiel_env/server/openspiel_environment.py` + +**Location**: Lines 255-276 (approximately, in the observation creation section) + +**Replace**: +```python +# Extract game-specific metadata for blackjack +metadata = {} +if self.game_name == "blackjack": + state = self._ospiel_env.get_state + if hasattr(state, "get_best_player_total"): + player_total = state.get_best_player_total(self.agent_player) + metadata["player_total"] = player_total + if hasattr(state, "dealers_visible_card"): + dealer_card = state.dealers_visible_card() + metadata["dealer_card"] = dealer_card # ❌ This is 0-51, not 1-10! +``` + +**With**: +```python +# Extract game-specific metadata for blackjack +metadata = {} +if self.game_name == "blackjack": + # Get underlying OpenSpiel state to access blackjack-specific methods + state = self._ospiel_env.get_state # Property, not method! + if hasattr(state, "get_best_player_total"): + player_total = state.get_best_player_total(self.agent_player) + metadata["player_total"] = player_total + if hasattr(state, "dealers_visible_card"): + dealer_card_idx = state.dealers_visible_card() + # Convert card index (0-51) to blackjack value (1-10) + # This matches the C++ CardValue() logic in blackjack.cc + # Cards are indexed from 0 to kDeckSize-1 (52 cards total) + # Rank = card_idx % 13, where 0=Ace, 1-9=2-10, 10=J, 11=Q, 12=K + rank = dealer_card_idx % 13 + if rank == 0: + dealer_value = 1 # Ace + elif rank <= 9: + dealer_value = rank + 1 # 2-10 + else: + dealer_value = 10 # Jack, Queen, King + metadata["dealer_card"] = dealer_value +``` + +**Why**: The conversion logic mirrors OpenSpiel's C++ `CardValue()` method which isn't exposed to Python bindings. Without this, you'd see invalid dealer cards like 50, 37, etc. instead of 1-10. + +--- + +## Testing the Fixes + +Use `/home/felipemello/forge/dummy.py` to verify: + +```python +# Test direct environment (bypasses HTTP) +from envs.openspiel_env.server.openspiel_environment import OpenSpielEnvironment +env = OpenSpielEnvironment(game_name="blackjack", agent_player=0, opponent_policy="random") +obs = env.reset() +print(obs.metadata) +# Expected: {'player_total': , 'dealer_card': <1-10>} + +# Test HTTP client (requires server running) +from envs.openspiel_env import OpenSpielEnv +env = OpenSpielEnv(base_url="http://localhost:9000") +env._http.trust_env = False # Bypass proxy +obs = env.reset().observation +print(obs.metadata) +# Expected: Same as above if fixes are applied +``` + +--- + +## Architecture + +### Episode Structure + +Each blackjack game produces multiple episodes (one per player action): + +```python +@dataclass +class Episode: + episode_id: str # Unique ID for this step + game_id: str # Which game this belongs to + step_in_game: int # Step number within the game + completion: Completion # Model's response + reward: float # Final game outcome (shared across all steps) + advantage: float # Normalized advantage + # ... other fields +``` + +### Game Flow + +1. **Start game**: Reset OpenSpiel environment +2. **Each step**: + - Format prompt with current state (player total, dealer card, action history) + - Generate action from policy ("HIT" or "STAND") + - Execute action in environment + - Store step data +3. **Game ends**: Assign final reward to ALL steps in the game +4. **Create episodes**: One episode per step, all sharing the final game reward + +### Prompt Format + +``` +=== BlackJack Game (Step 1) === + +Current State: + Your hand total: 15 + Dealer shows: 10 + Legal actions: HIT, STAND + +What do you do? (Output only 'HIT' or 'STAND') +``` + +For subsequent steps, action history is included: +``` +Previous actions: + 1. HIT (hand became 18) + 2. HIT (hand became 23) +``` + +This allows the model to track card counting and learn from its action sequence. + +--- + +## Metrics Explanation + +### Game Outcome Metrics +- **`game/total_games_played`**: Total number of games completed +- **`game/count_wins`**: Games where player won (+1 reward) +- **`game/count_losses`**: Games where player lost (-1 reward) +- **`game/count_pushes`**: Games that tied (0 reward) + +### Win Rate & Performance +- **`game/win_rate`**: Percentage of games won (0.0 to 1.0, where 1.0 = 100%) + - Example: 0.227 = 22.7% win rate +- **`game/average_reward`**: Mean reward across games (-1.0 to +1.0) + - Can be negative if more losses than wins + - Example: -0.454 means losing more than winning + +### Game Behavior +- **`game/average_game_length_in_steps`**: How many actions per game + - Low value (e.g., 1.09) suggests model stands too early +- **`game/bust_rate`**: Percentage of games where player busted (>21) + - Example: 0.227 = 22.7% bust rate + +### Hand Analysis +- **`game/average_player_final_hand`**: Average hand total at game end +- **`game/average_dealer_upcard`**: Average dealer visible card (1-10) +- **`game/average_winning_hand_total`**: Average hand when winning +- **`game/average_losing_hand_total`**: Average hand when losing + +**Strategy Insight**: If `average_winning_hand_total` is much lower than `average_losing_hand_total`, the model may be standing too early on good hands and hitting too much on bad hands. + +--- + +## Key Code Locations + +### Main Training Script +**File**: `/home/felipemello/forge/apps/blackjack/main.py` + +- **`format_prompt()`** (line ~202): Creates text prompts from game state +- **`parse_action()`** (line ~257): Parses "HIT"/"STAND" from model output +- **`play_game()`** (line ~365): Plays one complete blackjack game +- **`continuous_rollouts()`** (line ~694): Manages rollout loop +- **`continuous_training()`** (line ~770): Manages training loop + +### Helper Actors +- **`BlackJackReward`** (line ~277): Evaluates game outcomes with reward shaping +- **`ComputeAdvantages`** (line ~310): Normalizes rewards to advantages +- **`EnvironmentActor`** (line ~323): Manages tokenizer and server connection + +### Configuration +**File**: `/home/felipemello/forge/apps/blackjack/qwen3_1_7b.yaml` + +Key settings: +- `group_size`: Number of games per rollout (default: 4) +- `max_req_tokens`: Max prompt length (default: 512) +- `max_res_tokens`: Max response length (default: 256) +- `server_url`: OpenSpiel server URL (default: http://localhost:8004) +- `server_port`: Port for OpenSpiel server (default: 8004) + +--- + +## Implementation Notes + +### Differences from GSM8K Example + +1. **Multi-step games**: GSM8K is single prompt→response. Blackjack requires playing full games with multiple steps. + +2. **Shared rewards**: All steps in a game get the same final reward (win/loss/push). + +3. **No dataset**: Instead of sampling from a dataset, we generate games on-the-fly. + +4. **Action parsing**: Model outputs are parsed to extract "HIT" or "STAND" decisions. + +5. **Game state tracking**: Prompts include current hand, dealer card, and action history. + +### Reward Shaping + +**File**: `BlackJackReward.evaluate_response()` (line ~278) + +```python +if game_reward > 0: + reward = 2.0 # Make wins more valuable +elif game_reward == 0: + reward = 0.5 # Pushes better than losses +else: + reward = -1.0 # Losses +``` + +This encourages the model to prefer ties over losses and strongly value wins. + +### Server Management + +The script automatically: +1. Kills any process using the server port +2. Starts OpenSpiel server in background process +3. Waits for health check (up to 30 seconds) +4. Bypasses corporate proxy for localhost connections +5. Gracefully shuts down server on exit + +--- + +## Common Issues + +### "Connection refused" on localhost +- **Cause**: Server hasn't started yet +- **Fix**: Wait for "✓ OpenSpiel server ready" message + +### Prompts show `?` for game state +- **Cause**: Missing OpenEnv fixes (see above) +- **Fix**: Apply both required fixes and restart server + +### Invalid dealer cards (e.g., 50, 37) +- **Cause**: Missing card value conversion fix +- **Fix**: Apply Fix 2 above + +### Empty metadata `{}` +- **Cause**: HTTP server stripping metadata +- **Fix**: Apply Fix 1 above + +--- + +## Future Improvements + +1. **Better prompting**: Include basic strategy hints or card counting info +2. **Curriculum learning**: Start with simpler scenarios, gradually increase difficulty +3. **Multi-hand tracking**: Support splitting and doubling down +4. **Opponent modeling**: Learn dealer behavior patterns +5. **Reward shaping**: Experiment with intermediate rewards for good decisions + +--- + +## Reference + +- **OpenSpiel Blackjack Source**: [blackjack.cc](https://github.com/google-deepmind/open_spiel/blob/master/open_spiel/games/blackjack/blackjack.cc) +- **OpenEnv Repository**: `/home/felipemello/OpenEnv` +- **Original GSM8K Example**: `/home/felipemello/forge/apps/gsm8k/` diff --git a/apps/blackjack/__init__.py b/apps/blackjack/__init__.py new file mode 100644 index 000000000..2e41cd717 --- /dev/null +++ b/apps/blackjack/__init__.py @@ -0,0 +1,5 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. diff --git a/apps/blackjack/main.py b/apps/blackjack/main.py new file mode 100644 index 000000000..d911d7b91 --- /dev/null +++ b/apps/blackjack/main.py @@ -0,0 +1,896 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +# Usage: python -m apps.blackjack.main --config apps/blackjack/qwen3_1_7b.yaml + +import asyncio +import multiprocessing +import os +import signal +import subprocess +import time +import uuid +from dataclasses import dataclass +from typing import Any, Callable + +import requests +import torch +import torch.nn.functional as F +import torchstore as ts +from envs.openspiel_env import OpenSpielAction, OpenSpielEnv +from forge.actors._torchstore_utils import ( + get_dcp_whole_state_dict_key, + get_param_prefix, +) +from forge.actors.generator import Generator +from forge.actors.reference_model import ReferenceModel +from forge.actors.replay_buffer import ReplayBuffer +from forge.actors.trainer import TitanTrainer +from forge.controller.actor import ForgeActor +from forge.controller.provisioner import init_provisioner, shutdown +from forge.data_models.completion import Completion +from forge.observability.metric_actors import get_or_create_metric_logger +from forge.observability.metrics import record_metric, Reduce +from forge.observability.perf_tracker import Tracer + +from forge.types import LauncherConfig, ProvisionerConfig +from forge.util.config import parse +from forge.util.ops import compute_logprobs +from monarch.actor import endpoint +from omegaconf import DictConfig +from vllm.transformers_utils.tokenizer import get_tokenizer + + +def start_openspiel_server(game_name: str, port: int): + """Start OpenSpiel server in background process.""" + os.environ["OPENSPIEL_GAME"] = game_name + + import uvicorn + from envs.openspiel_env.server.app import app + + print(f"[SERVER] Starting uvicorn for game '{game_name}' on port {port}") + uvicorn.run(app, host="0.0.0.0", port=port, log_level="info") + + +def kill_process_on_port(port: int): + """Kill any process using the specified port.""" + # Find process using the port + result = subprocess.run( + ["lsof", "-ti", f":{port}"], + capture_output=True, + text=True, + timeout=5, + ) + if result.stdout.strip(): + pids = result.stdout.strip().split("\n") + for pid in pids: + try: + os.kill(int(pid), signal.SIGKILL) + print(f"[DEBUG] Killed existing process {pid} on port {port}") + except ProcessLookupError: + pass # Process already dead + time.sleep(0.5) # Give OS time to release port + return True + return False + + +@dataclass +class Episode: + episode_id: str + pad_id: int + request_len: int + response_len: int + target: Any | None = None + # Processed data + completion: Completion | None = None + ref_logprobs: torch.Tensor | None = None + reward: float | None = None + advantage: float | None = None + + @property + def policy_version(self) -> int | None: + return self.completion.generator_version + + @property + def request_tensor(self) -> torch.Tensor: + request_tokens: torch.Tensor = self.completion.prompt_ids + # Use clone() instead of torch.tensor() to avoid UserWarning + if isinstance(request_tokens, torch.Tensor): + tensor = request_tokens.clone().detach() + else: + tensor = torch.tensor(request_tokens, dtype=torch.long) + if tensor.shape[0] < self.request_len: # left pad + diff = self.request_len - tensor.shape[0] + tensor = F.pad(tensor, (diff, 0), value=self.pad_id) + return tensor + + @property + def response_tensor(self) -> torch.Tensor: + response_tokens: torch.Tensor = self.completion.token_ids + # Use clone() instead of torch.tensor() to avoid UserWarning + if isinstance(response_tokens, torch.Tensor): + tensor = response_tokens.clone().detach() + else: + tensor = torch.tensor(response_tokens, dtype=torch.long) + if tensor.shape[0] < self.response_len: # right pad + diff = self.response_len - tensor.shape[0] + tensor = F.pad(tensor, (0, diff), value=self.pad_id) + return tensor + + +# Represents the group (G) of episodes in GRPO +Group = list[Episode] + +# Represents the Policy Model to collect data from +Policy = Generator + + +def collate( + batches: list[Group], +) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: + """ + Collates a list of batches into a single batch of inputs and targets. + Each batch is a list of episodes, and each episode is a dict of tensors. + """ + inputs = [] + targets = [] + for batch in batches: + request = [e.request_tensor for e in batch] + request = torch.stack(request) # [b x s] + + response = [e.response_tensor for e in batch] + response = torch.stack(response) # [b x s] + + ref_logprobs = [e.ref_logprobs for e in batch] + ref_logprobs = torch.stack(ref_logprobs).squeeze() # [b x s] + + advantages = [e.advantage for e in batch] + advantages = torch.tensor(advantages).unsqueeze(-1) # [b x 1] + + pad_id = batch[0].pad_id + mask = response != pad_id + + input = {"tokens": torch.cat([request, response], dim=1)} + target = { + "response": response, + "ref_logprobs": ref_logprobs, + "advantages": advantages, + "padding_mask": mask, + } + inputs.append(input) + targets.append(target) + return inputs, targets + + +# Note: This is also available in losses.grpo_loss via `SimpleGRPOLoss` +def simple_grpo_loss( + logits: torch.Tensor, + response: torch.Tensor, + ref_logprobs: torch.Tensor, + advantages: torch.Tensor, + padding_mask: torch.Tensor, + beta: float = 0.1, +) -> torch.Tensor: + logprobs: torch.Tensor = compute_logprobs(logits, response) + kl = torch.exp(ref_logprobs - logprobs) - (ref_logprobs - logprobs) - 1 + per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages + per_token_loss = -(per_token_policy_loss - beta * kl) + loss = ( + ((per_token_loss * padding_mask).sum(dim=1)) + / (padding_mask.sum(dim=1).clamp(min=1.0)) + ).mean() + return loss + + +# Blackjack-specific helper functions +def format_prompt(step_num: int, action_history: list, obs, tokenizer) -> str: + """ + Format game state as text prompt for LLM with full game information. + + Args: + step_num: Current step number + action_history: List of (action_name, player_total_after) tuples + obs: OpenSpiel observation with metadata + tokenizer: Tokenizer for chat template + + Returns: + Formatted prompt string with game state + """ + system = """You are an expert BlackJack player. Analyze the game state and output only 'HIT' or 'STAND'.""" + + # Get game state from metadata (populated by OpenEnv server) + player_total = obs.metadata.get("player_total", "?") + dealer_card = obs.metadata.get("dealer_card", "?") + + state_desc = f"=== BlackJack Game (Step {step_num + 1}) ===\n\n" + + # Add game state information + state_desc += "Current State:\n" + state_desc += f" Your hand total: {player_total}\n" + + # Format dealer card - just show the value (Ace or 2-10) + if dealer_card == 1: + dealer_str = "Ace" + elif dealer_card != "?": + dealer_str = str(dealer_card) + else: + dealer_str = "?" + state_desc += f" Dealer shows: {dealer_str}\n" + state_desc += f" Legal actions: {', '.join('HIT' if a == 0 else 'STAND' for a in obs.legal_actions)}\n" + state_desc += "\n" + + # Add action history with hand totals for card counting + if action_history: + state_desc += "Previous actions:\n" + for i, (action_name, hand_total) in enumerate(action_history): + state_desc += f" {i + 1}. {action_name} (hand became {hand_total})\n" + state_desc += "\n" + + state_desc += "What do you do? Output only 'HIT' or 'STAND'. You have a small limit for thinking tokens, so avoid thinking for long." + + chat = [ + {"role": "system", "content": system}, + {"role": "user", "content": state_desc}, + ] + + return tokenizer.apply_chat_template( + chat, tokenize=False, add_generation_prompt=True + ) + + +def parse_action(response_text: str, legal_actions: list[int]) -> int: + """Parse action from model's text response.""" + text_lower = response_text.lower() + + if text_lower.endswith("hit"): + action_id = 0 + elif text_lower.endswith("stand"): + action_id = 1 + else: + action_id = 2 + + return action_id + + +@dataclass +class BlackJackReward(ForgeActor): + """Reward actor for evaluating game outcomes.""" + + @endpoint + async def evaluate_response( + self, prompt: str, response: str, game_reward: float + ) -> float: + """ + Evaluate episode reward with improved shaping. + + Args: + prompt: Game state prompt + response: Model's action + game_reward: Raw game outcome (+1/-1/0) + + Returns: + Shaped reward value + """ + # Check if the response ends with a valid action + response_lower = response.lower().strip() + last_words = response_lower.split()[-3:] if response_lower else [] + + has_valid_action = any(word in ["hit", "stand"] for word in last_words) + + # Base reward from game outcome + reward = float(game_reward) + + # Penalize invalid format (didn't end with HIT or STAND) + if not has_valid_action: + reward -= 1.0 # Strong penalty for invalid format + record_metric("reward/invalid_action_rate", 1, Reduce.MEAN) + else: + record_metric("reward/invalid_action_rate", 0, Reduce.MEAN) + + # Optional reward shaping: Scale up wins + if game_reward > 0: + reward = max(reward, 1.5) # Make wins more valuable (but respect penalty) + elif game_reward == 0: + reward = max(reward, 0.3) # Pushes better than losses (but respect penalty) + + record_metric("reward/evaluate_response/avg_reward", reward, Reduce.MEAN) + + return reward + + +@dataclass +class ComputeAdvantages(ForgeActor): + @endpoint + async def compute(self, group: Group) -> list[float]: + # TODO: add batch processing + rewards = torch.tensor([[e.reward for e in group]]) + mean = rewards.mean(1, keepdim=True) + std = rewards.std(1, keepdim=True) + advantages = (rewards - mean) / (std + 1e-4) + return advantages.squeeze(0).tolist() + + +@dataclass +class EnvironmentActor(ForgeActor): + """Actor that manages OpenEnv connections and tokenizer.""" + + server_url: str = "http://localhost:8004" + model: str = "Qwen/Qwen3-1.7B" + + @endpoint + def setup(self): + self._tokenizer = get_tokenizer(self.model) + print(f"EnvironmentActor initialized (server: {self.server_url})") + + @endpoint + async def get_tokenizer(self): + return self._tokenizer + + @endpoint + async def pad_token(self): + # Use pad_token_id if available, otherwise use eos_token_id + # Llama models don't have a pad token by default + if self._tokenizer.pad_token_id is not None: + return self._tokenizer.pad_token_id + else: + return self._tokenizer.eos_token_id + + +async def drop_weights(version: int): + print(f"Dropping weights @ version {version}") + start_time = time.perf_counter() + prefix = get_param_prefix(version) + matching_keys = await ts.keys(prefix) + # TODO: once we have something like `get_meta()` in torchstore, we can just + # query the type of the object instead of relying on keys. + dcp_key = get_dcp_whole_state_dict_key(version) + if dcp_key in matching_keys: + dcp_handle = await ts.get(dcp_key) + dcp_handle.drop() + for key in matching_keys: + await ts.delete(key) + elapsed = time.perf_counter() - start_time + print(f"Dropped weights @ version {version}, took {elapsed:.2f} seconds") + + +async def play_game( + game_idx: int, + game_id: str, + server_url: str, + policy: Generator, + tokenizer, + rollout_count: int = 0, +): + """ + Play a single blackjack game and collect episode data. + + Args: + game_idx: Index of this game in the rollout + game_id: Unique game identifier + server_url: OpenEnv server URL + policy: Policy (Generator) for action selection + tokenizer: Tokenizer for prompt formatting + rollout_count: Current rollout iteration + + Returns: + List of step results with prompts, responses, and final reward + """ + env = OpenSpielEnv(base_url=server_url) + + # Bypass corporate proxy for localhost connections + env._http.trust_env = False + + print(f"\n🎮 GAME {game_idx + 1} (Rollout #{rollout_count + 1}) - ID: {game_id}") + + try: + result = env.reset() + obs = result.observation + done = False + step_num = 0 + action_history = [] + game_steps = [] + + while not done and step_num < 10: # Max 10 steps per game + # Format prompt with game state + prompt = format_prompt(step_num, action_history, obs, tokenizer) + + # Generate action with policy (with timeout) + try: + responses = await asyncio.wait_for( + policy.generate.route(prompt), timeout=60.0 + ) + except asyncio.TimeoutError: + print( + f"[ERROR] Policy generation timed out for {game_id} at step {step_num}" + ) + raise + + response = responses[0] + + # Parse and execute action + action_id = parse_action(response.text, obs.legal_actions) + action_name = "HIT" if action_id == 0 else "STAND" + + # Store step data (reward assigned later) + game_steps.append( + { + "step_num": step_num, + "prompt": prompt, + "response": response, + } + ) + + # Take action in environment + result = env.step( + OpenSpielAction(action_id=action_id, game_name="blackjack") + ) + obs = result.observation + done = result.done + + # Add action to history with the resulting hand total (for card counting) + hand_total_after = obs.metadata.get("player_total", "?") + action_history.append((action_name, hand_total_after)) + + step_num += 1 + + # Get final game outcome + final_game_reward = result.reward # +1 (win), -1 (loss), or 0 (push) + + outcome_text = ( + "WIN" + if final_game_reward > 0 + else ("LOSS" if final_game_reward < 0 else "PUSH") + ) + print( + f" Result: {outcome_text} (reward={final_game_reward}, steps={len(game_steps)})" + ) + + # Print all steps with full model thinking + if game_steps: + print(f"\n === GAME SUMMARY ===") + for step_data in game_steps: + print(f"\n Step {step_data['step_num'] + 1}:") + + # Parse prompt to show key information + prompt_lines = step_data["prompt"].split("\n") + for line in prompt_lines: + if "Your hand total:" in line or "Dealer shows:" in line: + print(f" {line.strip()}") + + # Show action taken + action_text = step_data["response"].text + if "hit" in action_text.lower(): + action_taken = "HIT" + elif "stand" in action_text.lower(): + action_taken = "STAND" + else: + action_taken = "UNKNOWN" + print(f" Action: {action_taken}") + + # Show full thinking process + print(f"\n Full AI thinking:") + print(f" {'-' * 60}") + # Print the complete response text with proper indentation + for line in step_data["response"].text.split("\n"): + print(f" {line}") + print(f" {'-' * 60}") + + print(f"\n Final outcome: {outcome_text} (reward={final_game_reward})") + print(f" ===================\n") + + # Assign final reward to all steps + all_step_results = [] + total_steps = len(game_steps) + for step_data in game_steps: + all_step_results.append( + { + "game_id": game_id, + "final_reward": final_game_reward, + "total_steps": total_steps, + **step_data, + } + ) + + # Record game outcome metrics with clearer names + record_metric("game/total_games_played", 1, Reduce.SUM) + record_metric("game/average_game_length_in_steps", len(game_steps), Reduce.MEAN) + + # Average reward: +1 for win, -1 for loss, 0 for push + record_metric("game/average_reward", final_game_reward, Reduce.MEAN) + + # Track wins, losses, pushes separately + if final_game_reward > 0: + record_metric("game/count_wins", 1, Reduce.SUM) + record_metric("game/win_rate", 1, Reduce.MEAN) # 1 = win, 0 = not win + elif final_game_reward < 0: + record_metric("game/count_losses", 1, Reduce.SUM) + record_metric("game/win_rate", 0, Reduce.MEAN) # 0 = loss + else: + record_metric("game/count_pushes", 1, Reduce.SUM) + record_metric("game/win_rate", 0, Reduce.MEAN) # 0 = push (not a win) + + # Parse the last observation before game ended to get final state + # Note: We use the observation from the last step (before done=True) + if game_steps: + # Get the observation from the last action step + last_step_obs = obs # This is the final obs after the last step + + player_final = last_step_obs.metadata.get("player_total") + dealer_card = last_step_obs.metadata.get("dealer_card") + + if player_final is not None and dealer_card is not None: + # Record final state metrics + record_metric( + "game/average_player_final_hand", player_final, Reduce.MEAN + ) + record_metric("game/average_dealer_upcard", dealer_card, Reduce.MEAN) + + # Player busted if > 21 + if player_final > 21: + record_metric("game/bust_rate", 1, Reduce.MEAN) + else: + record_metric("game/bust_rate", 0, Reduce.MEAN) + + # Track average hand totals by outcome (for strategy analysis) + if final_game_reward > 0: # Win + record_metric( + "game/average_winning_hand_total", player_final, Reduce.MEAN + ) + elif final_game_reward < 0: # Loss + record_metric( + "game/average_losing_hand_total", player_final, Reduce.MEAN + ) + + return all_step_results + + except Exception as e: + print(f"[ERROR] play_game {game_id} failed with {type(e).__name__}: {e}") + import traceback + + traceback.print_exc() + raise + finally: + env.close() + + +async def main(cfg: DictConfig): + """Main GRPO training loop with rollout and training processes.""" + group_size = cfg.group_size + max_req_tokens = cfg.max_req_tokens + max_res_tokens = cfg.max_res_tokens + + # ---- Start OpenSpiel Server ---- # + game_name = cfg.blackjack_env.get("game_name", "blackjack") + server_port = cfg.blackjack_env.get("server_port", 8004) + + # Clean up any existing server on this port + if kill_process_on_port(server_port): + print(f"Cleaned up existing server on port {server_port}") + + print(f"Starting OpenSpiel server for game '{game_name}' on port {server_port}...") + server_process = multiprocessing.Process( + target=start_openspiel_server, args=(game_name, server_port) + ) + server_process.start() + + # Wait for server to be ready + print("Waiting for OpenSpiel server to be ready...") + server_ready = False + for i in range(30): # Try for 30 seconds + # Check if server process is still alive + if not server_process.is_alive(): + print(f"[ERROR] Server process died unexpectedly!") + print(f"[ERROR] Exit code: {server_process.exitcode}") + raise RuntimeError( + f"OpenSpiel server process crashed during startup (exit code: {server_process.exitcode})" + ) + + try: + # Skip proxy for localhost to avoid corporate proxy blocking with 403 + resp = requests.get( + f"http://localhost:{server_port}/health", + timeout=1, + proxies={"http": None, "https": None}, # Bypass proxy + ) + print(f"[DEBUG] Health check attempt {i+1}: status={resp.status_code}") + if resp.status_code == 200: + server_ready = True + print(f"✓ OpenSpiel server ready (took {i+1}s)") + break + except Exception as e: + print(f"[DEBUG] Health check attempt {i+1} failed: {type(e).__name__}: {e}") + time.sleep(1) + + if not server_ready: + server_process.terminate() + raise RuntimeError(f"OpenSpiel server never became ready on port {server_port}") + + # ---- Global setups ---- # + provisioner = None + if cfg.get("provisioner", None) is not None: + provisioner = await init_provisioner( + ProvisionerConfig(launcher_config=LauncherConfig(**cfg.provisioner)) + ) + else: + provisioner = await init_provisioner() + + metric_logging_cfg = cfg.get("metric_logging", {}) + mlogger = await get_or_create_metric_logger(process_name="Controller") + await mlogger.init_backends.call_one(metric_logging_cfg) + + # ---- Setup services ---- # + + # Extract only the fields needed for EnvironmentActor + env_actor_config = { + "server_url": cfg.blackjack_env.server_url, + "model": cfg.blackjack_env.model, + } + + ( + env_actor, + policy, + trainer, + replay_buffer, + compute_advantages, + ref_model, + reward_actor, + ) = await asyncio.gather( + EnvironmentActor.options(**cfg.actors.blackjack_env).as_actor( + **env_actor_config + ), + Policy.options(**cfg.services.policy).as_service(**cfg.policy), + TitanTrainer.options(**cfg.actors.trainer).as_actor( + **cfg.trainer, loss=simple_grpo_loss + ), + ReplayBuffer.options(**cfg.actors.replay_buffer).as_actor( + **cfg.replay_buffer, collate=collate + ), + ComputeAdvantages.options(**cfg.actors.compute_advantages).as_actor(), + ReferenceModel.options(**cfg.services.ref_model).as_service(**cfg.ref_model), + BlackJackReward.options(**cfg.services.reward_actor).as_service(), + ) + + # Set max_steps to the configured value, or -1 if not specified or Null + max_steps = cfg.trainer.training.steps or -1 + + print("All services initialized successfully!") + shutdown_event = asyncio.Event() + # Here we spawn a torchstore storage volume per trainer process. + # We initialize after service initialization because torchstore currently + # requires access to the underlying proc meshes in the local rank strategy. + # We should be able to hide this in the future. + # TODO: support multiple host meshes + trainer_num_procs = cfg.actors.trainer["procs"] + trainer_host_mesh_name = cfg.actors.trainer["mesh_name"] + trainer_hosts = provisioner.get_host_mesh(trainer_host_mesh_name) + await ts.initialize( + mesh=trainer_hosts.spawn_procs(per_host={"procs": trainer_num_procs}), + strategy=ts.LocalRankStrategy(), + ) + print("Torchstore successfully initialized with local rank strategy") + + # ---- Warmup policy ---- # + print("Warming up policy with test generation...") + test_prompt = "Test prompt to warm up the model." + try: + test_response = await asyncio.wait_for( + policy.generate.route(test_prompt), timeout=120.0 + ) + print(f"✓ Policy ready, test response: '{test_response[0].text[:50]}...'") + except asyncio.TimeoutError: + raise RuntimeError("Policy warmup timed out after 120s") + except Exception as e: + raise RuntimeError(f"Policy warmup failed: {e}") + + # ---- Test OpenSpiel server ---- # + print("Testing OpenSpiel server connection...") + test_env = OpenSpielEnv( + base_url=cfg.blackjack_env.get("server_url", "http://localhost:9000") + ) + # Bypass corporate proxy for localhost - must set trust_env=False + test_env._http.trust_env = False + try: + print( + f"[DEBUG] Test env base_url={test_env._base}, timeout={test_env._timeout}" + ) + print(f"[DEBUG] Test env trust_env={test_env._http.trust_env}") + print(f"[DEBUG] Calling test_env.reset()...") + test_result = test_env.reset() + print( + f"✓ OpenSpiel server test successful, legal_actions={test_result.observation.legal_actions}" + ) + test_env.close() + except Exception as e: + print(f"[ERROR] OpenSpiel server test failed: {type(e).__name__}: {e}") + import traceback + + traceback.print_exc() + raise RuntimeError(f"OpenSpiel server test failed: {e}") + + # ---- Core RL loops ---- # + async def continuous_rollouts(): + rollout_count = 0 + pad_id = await env_actor.pad_token.call_one() + tokenizer = await env_actor.get_tokenizer.call_one() + server_url = cfg.blackjack_env.get("server_url", "http://localhost:8004") + + while not shutdown_event.is_set(): + t = Tracer("main_perf/continuous_rollouts") + t.start() + + # Play group_size games + all_step_results = [] + for game_idx in range(group_size): + game_id = str(uuid.uuid4())[:8] + step_results = await play_game( + game_idx=game_idx, + game_id=game_id, + server_url=server_url, + policy=policy, + tokenizer=tokenizer, + rollout_count=rollout_count, + ) + all_step_results.extend(step_results) + + t.step("play_games") + + # Construct episodes and calculate rewards + episodes = [] + input_ids = torch.ones( + (len(all_step_results), max_req_tokens + max_res_tokens), + dtype=torch.long, + ) + for i, step_result in enumerate(all_step_results): + episode = Episode( + episode_id=str(uuid.uuid4()), + pad_id=pad_id, + request_len=max_req_tokens, + response_len=max_res_tokens, + target=None, + completion=step_result["response"], + ) + episode.reward = await reward_actor.evaluate_response.route( + prompt=step_result["prompt"], + response=step_result["response"].text, + game_reward=step_result["final_reward"], + ) + episodes.append(episode) + + # Build input_ids for reference logprobs + input_ids[i, :max_req_tokens] = episode.request_tensor + input_ids[i, max_req_tokens:] = episode.response_tensor + + t.step("reward_evaluation") + + ref_logprobs = await ref_model.forward.route( + input_ids, max_req_tokens, return_logprobs=True + ) + t.step("reference_model_calculate_logprobs") + + for i, episode in enumerate(episodes): + episode.ref_logprobs = ref_logprobs[i] + del ref_logprobs, input_ids + + advantages = await compute_advantages.compute.call_one(episodes) + for episode, advantage in zip(episodes, advantages): + episode.advantage = advantage + await replay_buffer.add.call_one(episode) + + rollout_count += 1 + record_metric( + "main/continuous_rollouts/count_rollout_iterations", 1, Reduce.SUM + ) + t.stop() + + async def continuous_training(): + training_step = 0 + restart_tracer = True # Flag to control when to restart tracer + + while max_steps == -1 or training_step < max_steps: + # Restart tracer when needed (initial start or after completing a training step) + # Otherwise, we cannot measure time waiting for buffer + if restart_tracer: + t = Tracer("main_perf/continuous_training") + t.start() + restart_tracer = False + + batch = await replay_buffer.sample.call_one( + curr_policy_version=training_step + ) + if batch is None: + await asyncio.sleep(0.1) + else: + t.step("waiting_for_buffer") + + inputs, targets = batch + await trainer.train_step.call(inputs, targets) + training_step += 1 + t.step("train_step") + + await trainer.push_weights.call(training_step) + t.step("push_weights") + + await policy.update_weights.fanout(training_step) + t.step("update_weights") + + if training_step >= 2: + await drop_weights(training_step - 1) + t.step("drop_weights") + + t.stop() + restart_tracer = True + + # Flush metrics every training step to WandB + await mlogger.flush.call_one(training_step) + + print( + f"Reached training limit ({max_steps} steps). Exiting continuous_training loop." + ) + + num_rollout_threads = cfg.get("rollout_threads", 1) + num_training_threads = cfg.get("training_threads", 1) + print( + f"Starting GRPO with {num_rollout_threads} rollout threads, {num_training_threads} training threads" + ) + rollout_tasks = [ + asyncio.create_task(continuous_rollouts()) for _ in range(num_rollout_threads) + ] + training_task = asyncio.create_task(continuous_training()) + + try: + await training_task + except KeyboardInterrupt: + print("Training interrupted by user") + finally: + print("Shutting down... (this may take a few seconds)") + shutdown_event.set() + + # Cancel rollout tasks + try: + # Give rollouts up to 5s to finish naturally + await asyncio.wait_for( + asyncio.gather(*rollout_tasks, return_exceptions=True), + timeout=5, + ) + except asyncio.TimeoutError: + print("Timeout waiting for rollouts; forcing cancellation...") + for t in rollout_tasks: + t.cancel() + await asyncio.gather(*rollout_tasks, return_exceptions=True) + + # Cancel training task + training_task.cancel() + try: + await asyncio.wait_for(training_task, timeout=2) + except (asyncio.CancelledError, asyncio.TimeoutError): + pass + + # Shutdown forge actors/services with timeout + print("Shutting down Forge actors...") + try: + await asyncio.wait_for(shutdown(), timeout=10) + print("✓ Forge actors shut down") + except asyncio.TimeoutError: + print("⚠ Forge shutdown timed out after 10s, forcing exit...") + + # Shutdown OpenSpiel server + print("Stopping OpenSpiel server...") + server_process.terminate() + server_process.join(timeout=2) + if server_process.is_alive(): + print("⚠ Server didn't stop gracefully, killing...") + server_process.kill() + server_process.join(timeout=1) + print("✓ OpenSpiel server stopped") + + +if __name__ == "__main__": + + @parse + def _main(cfg): + asyncio.run(main(cfg)) + + _main() # @parse grabs the cfg from CLI diff --git a/apps/blackjack/qwen3_1_7b.yaml b/apps/blackjack/qwen3_1_7b.yaml new file mode 100644 index 000000000..371f38b39 --- /dev/null +++ b/apps/blackjack/qwen3_1_7b.yaml @@ -0,0 +1,151 @@ +# BlackJack GRPO Training Configuration +# >>> python -m apps.blackjack.main --config apps/blackjack/qwen3_1_7b.yaml +# +# The OpenSpiel server will be started automatically by the training script. + +# Global configuration +group_size: 4 # Number of parallel games per rollout +local_batch_size: 8 # Per-device batch size +max_req_tokens: 512 # Max tokens for prompt (BlackJack prompts are ~200-300 tokens) +max_res_tokens: 512 # Max tokens for response (thinking + action) +model: "Qwen/Qwen3-1.7B" +off_by_n: 1 # Off-policy tolerance + +# Main loop configuration +rollout_threads: 1 # Number of parallel rollout threads + +# Observability configuration +metric_logging: + wandb: + project: "blackjack-grpo" + group: "blackjack_exp_${oc.env:USER}" + logging_mode: global_reduce + console: + logging_mode: global_reduce + +# OpenSpiel environment configuration +blackjack_env: + game_name: "blackjack" # OpenSpiel game to run (blackjack, catch, tic_tac_toe, etc.) + server_url: "http://localhost:9000" + server_port: 9000 + model: ${model} + +# Policy configuration +policy: + engine_args: # https://docs.vllm.ai/en/v0.10.0/api/vllm/engine/arg_utils.html#vllm.engine.arg_utils.EngineArgs + model: ${model} + tensor_parallel_size: 1 + pipeline_parallel_size: 1 + enforce_eager: false + sampling_params: # https://docs.vllm.ai/en/v0.10.0/api/vllm/sampling_params.html#vllm.sampling_params.SamplingParams + n: 1 # Generate 1 response per game state (not group_size, since we play full games) + max_tokens: ${max_res_tokens} + temperature: 1.0 + top_p: 1.0 + +# Trainer configuration +trainer: + model: + name: qwen3 + flavor: 1.7B + hf_assets_path: hf://${model} + optimizer: + name: AdamW + lr: 1e-5 + eps: 1e-8 + lr_scheduler: + warmup_steps: 1 + training: + local_batch_size: ${local_batch_size} + seq_len: 1024 # Shorter than GSM8K since BlackJack episodes are shorter + max_norm: 1.0 + steps: 1000 # Tutorial: 1000 steps (increase for production) + dtype: bfloat16 + gc_freq: 1 + compile: + enable: false + parallelism: + data_parallel_replicate_degree: 1 + data_parallel_shard_degree: 1 + tensor_parallel_degree: 1 + pipeline_parallel_degree: 1 + context_parallel_degree: 1 + expert_parallel_degree: 1 + disable_loss_parallel: true + checkpoint: + enable: true + folder: ./checkpoint # The folder to save checkpoints to. + initial_load_path: hf://${model} # The path to load the initial checkpoint from. Ignored if `folder` exists. + initial_load_in_hf: true # If true, interpret initial_load_path as a HuggingFace model repo + last_save_in_hf: true + interval: 500 + async_mode: "disabled" + activation_checkpoint: + mode: selective + selective_ac_option: op + +# Replay buffer configuration +replay_buffer: + batch_size: ${local_batch_size} + max_policy_age: ${off_by_n} + dp_size: ${trainer.parallelism.data_parallel_shard_degree} # Must equal trainer DP degree + +# Reference model configuration +ref_model: + model: + name: qwen3 + flavor: 1.7B + hf_assets_path: hf://${model} + training: + seq_len: ${trainer.training.seq_len} + dtype: bfloat16 + gc_freq: 1 + compile: + enable: false + parallelism: + data_parallel_replicate_degree: 1 + data_parallel_shard_degree: 1 + tensor_parallel_degree: 1 + pipeline_parallel_degree: 1 + context_parallel_degree: 1 + expert_parallel_degree: 1 + checkpoint: + enable: true + initial_load_path: hf://${model} + initial_load_in_hf: true + +# All resource allocations +services: + policy: + procs: ${policy.engine_args.tensor_parallel_size} + num_replicas: 1 + mesh_name: policy + with_gpus: true + ref_model: + procs: 1 + num_replicas: 1 + mesh_name: ref_model + with_gpus: true + reward_actor: + procs: 1 + num_replicas: 1 + mesh_name: reward_actor + with_gpus: false + +actors: + blackjack_env: + procs: 1 + with_gpus: false + mesh_name: blackjack_env + trainer: + procs: 1 + with_gpus: true + mesh_name: trainer + replay_buffer: + procs: 1 + with_gpus: false + mesh_name: replay_buffer + compute_advantages: + procs: 1 + with_gpus: false + mesh_name: compute_advantages From 29a03ef88e5ac7e96aa18f7210e9261afd966463 Mon Sep 17 00:00:00 2001 From: Felipe Mello Date: Sat, 15 Nov 2025 19:32:49 -0800 Subject: [PATCH 05/11] add truncation doc --- .../changes/3_truncation.md | 336 ++++++++++++++++++ 1 file changed, 336 insertions(+) create mode 100644 brainstorming_forge_tau/changes/3_truncation.md diff --git a/brainstorming_forge_tau/changes/3_truncation.md b/brainstorming_forge_tau/changes/3_truncation.md new file mode 100644 index 000000000..ce456c7f3 --- /dev/null +++ b/brainstorming_forge_tau/changes/3_truncation.md @@ -0,0 +1,336 @@ +# Truncation Strategy for Multi-Turn Episodes + +**Dependencies:** +- `1_message_format_for_tool_calling.md` (dataset returns messages, format in rollout loop) +- `2_episode_class.md` (new Episode class with response_mask) + +--- + +## Problem + +Single-turn blackjack has fixed `max_tokens` per generation with no episode-level budget tracking. + +**Why this breaks multi-turn:** +1. Episode can grow unbounded (turn1: 100 tokens, turn2: 200 tokens, turn3: 500 tokens → 800 tokens total) +2. Can exceed model's `max_model_len` (crashes inference) +3. Tool results can be arbitrarily long (web search: 10K tokens) +4. No clear strategy for when to stop adding turns + +**Root cause:** Need episode-level budget (`max_seq_len`) that spans all turns. + +--- + +## Solution: Episode-Level Budget + Per-Turn Checks + +All frameworks (Tinker, VERL, NeMo-RL) check prompt length each turn and terminate when budget exhausted. + +**Architecture:** +``` +Dataset → Rollout Loop → Generator + ↓ ↓ ↓ +Returns Each Turn: Receives +messages 1. Build prompt from messages (includes full history) + 2. Check: len(prompt_tokens) >= max_seq_len? → STOP + 3. Generate with remaining budget + 4. Add response to messages + 5. Parse tools, execute, add results → Loop +``` + +Prompt already includes all history, so no cumulative tracking needed. + +--- + +## Implementation + +### Prerequisites (from docs 1 & 2) + +**From `1_message_format_for_tool_calling.md`:** +- Dataset returns `{"messages": [...], "target": ...}` instead of formatted strings +- Tokenizer passed from main → rollout loop → play_game +- `apply_chat_template()` called in rollout loop each turn + +**From `2_episode_class.md`:** +- New Episode class with `all_token_ids`, `response_mask`, `logprobs` +- Drop old `pad_id`, `request_len`, `response_len` fields +- Add `generator_version`, `is_truncated`, `task_name`, `message_log` + +### 1. Config Parameters + +```yaml +blackjack_env: + max_seq_len: 2048 # Total episode budget (all turns) + max_turns: 10 # Hard limit on turns + max_tool_result_length: 1024 # Global, token-based (for future tool calling) + +grpo: + include_truncated_in_buffer: false # Drop incomplete episodes + +policy: + engine_args: + enable_prefix_caching: true # Critical for multi-turn (2-3x speedup) + # max_model_len: 4096 # this is defined dinamically on generate + +### 2. Dataset Returns Messages + +```python +async def sample_blackjack_episode(): + """Dataset returns initial messages for the game.""" + return { + "messages": [ + {"role": "system", "content": "You are a blackjack expert..."} + ], + "target": None, + "task_name": "blackjack", # TODO: Investigate how other frameworks structure dataset output + } +``` + +**Note:** `task_name` should probably come from the dataset. Need to investigate how other frameworks handle dataset + schema (likely using TypedDict or dataclass for consistent fields across datasets). This investigation should be done in a separate document. + +### 3. Main: Get Tokenizer and Pass to Rollout Loop + +```python +async def main(cfg: DictConfig): + # ... after service initialization ... + + # Get tokenizer for use in rollout loop + from vllm.transformers_utils.tokenizer import get_tokenizer + tokenizer = get_tokenizer(cfg.dataset.model) + + # Start rollout threads with tokenizer + rollout_tasks = [ + asyncio.create_task(continuous_rollouts(tokenizer)) + for _ in range(num_rollout_threads) + ] +``` + +### 4. Rollout Loop: Format Messages Each Turn + +```python +async def continuous_rollouts(tokenizer): + while not shutdown_event.is_set(): + # Sample structured data from dataset + sample = await dataloader.sample.call_one() + initial_messages = sample["messages"] + target = sample["target"] + task_name = sample["task_name"] + + # Play episode with budget tracking + episode = await play_game( + game_id=str(uuid.uuid4()), + messages=initial_messages, + task_name=task_name, + policy=policy, + tokenizer=tokenizer, + max_seq_len=cfg.max_seq_len, + max_turns=cfg.max_turns, + ) + + # Add to buffer, calculate advantages, etc. + ... +``` + +### 5. Play Game: Budget Tracking Each Turn + +```python +async def play_game( + game_id: str, + messages: list[dict], + task_name: str, + policy: Generator, + tokenizer, + max_seq_len: int, + max_turns: int, +) -> Episode: + messages = messages.copy() + + all_tokens = [] + all_logprobs = [] + response_mask = [] + is_truncated = False + + env = OpenSpielEnv(base_url=server_url) + result = env.reset() + + for turn in range(max_turns): + if result.done: + break + + # Add user message with current game state + messages.append({"role": "user", "content": format_game_state(result.observation)}) + + # Format prompt from full message history + prompt_text = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=False + ) + + # Encode to check if prompt exceeds budget + prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) + + if len(prompt_tokens) >= max_seq_len: + is_truncated = True + record_metric("episode/terminated_budget_exceeded", 1, Reduce.MEAN) + break + + # Calculate remaining budget for this turn + remaining = max_seq_len - len(prompt_tokens) + + # Generate with remaining budget + responses = await policy.generate.route( + [prompt_text], + sampling_params={"max_tokens": remaining} + ) + response = responses[0] + + # Check if generation was cut off by max_tokens + if response.stop_reason == "length": + is_truncated = True + record_metric("episode/generation_truncated", 1, Reduce.MEAN) + break + + # Accumulate tokens and build response mask + all_tokens.extend(prompt_tokens) + all_tokens.extend(response.token_ids) + response_mask.extend([0] * len(prompt_tokens)) # Don't train on prompts + response_mask.extend([1] * len(response.token_ids)) # Train on responses + all_logprobs.extend([0.0] * len(prompt_tokens)) + all_logprobs.extend(response.logprobs) + + # Add assistant response to message history + messages.append({"role": "assistant", "content": response.text}) + + # Execute action in environment + action = parse_action(response.text) + result = env.step(OpenSpielAction(action_id=action, game_name="blackjack")) + + # Create episode with accumulated data + return Episode( + episode_id=game_id, + task_name=task_name, + generator_version=get_policy_version(), + is_truncated=is_truncated, + all_token_ids=torch.tensor(all_tokens, dtype=torch.long), + logprobs=torch.tensor(all_logprobs, dtype=torch.float), + response_mask=torch.tensor(response_mask, dtype=torch.float), + reward=result.reward, + message_log=messages, + metadata={"num_turns": turn + 1} + ) +``` + +### 6. Tool Result Truncation (Future) + +```python +def truncate_to_budget( + text: str, + tokenizer, + max_tokens: int, + side: str = "left" +) -> str: + """Truncate text to max_tokens. Side: 'left', 'right', or 'middle'.""" + tokens = tokenizer.encode(text, add_special_tokens=False) + + if len(tokens) <= max_tokens: + return text + + if side == "left": + return tokenizer.decode(tokens[:max_tokens]) + "...(truncated)" + elif side == "right": + return "(truncated)..." + tokenizer.decode(tokens[-max_tokens:]) + else: + half = max_tokens // 2 + return (tokenizer.decode(tokens[:half]) + + "...(truncated)..." + + tokenizer.decode(tokens[-half:])) + +# Usage in multi-turn loop with tools +for tool_call in tool_calls: + result = await execute_tool(tool_call) + + # Truncate tool result to prevent budget overflow + truncated_result = truncate_to_budget( + str(result), + tokenizer, + max_tool_result_length, + side="left" + ) + + messages.append({"role": "tool", "content": truncated_result}) +``` + +--- + +## Key Design Decisions + +| Decision | Choice | Reasoning | +|----------|--------|-----------| +| **Dataset format** | Messages | Dataset returns structured messages, formatting happens in rollout loop | +| **Episode fields** | New class | `response_mask` instead of `pad_id/request_len/response_len` for variable-length multi-turn | +| **Encoding location** | Inside loop | Need to check budget before generating. Prompt includes full history | +| **Cumulative tracking** | No | Redundant - prompt already contains all turns | +| **Dynamic max_tokens** | Calculate remaining | `max_tokens = max_seq_len - len(prompt_tokens)` | +| **Tool truncation unit** | Tokens | Accurate for budget, consistent with max_seq_len | +| **Tool truncation scope** | Global | Start simple, add per-tool later if needed | +| **Mid-generation truncation** | Stop immediately | Don't parse tools if `stop_reason == "length"` | +| **Truncated episodes** | Configurable | `include_truncated_in_buffer: false` to drop them | +| **Prefix caching** | Required | 2-3x speedup for multi-turn | + +--- + +## Research Findings Summary + +Analyzed TRL, VERL, NeMo-RL, Tinker, Verifiers: + +| Library | Prompt Check? | Tool Truncation? | Mid-Generation Handling | +|---------|--------------|------------------|------------------------| +| **Tinker** | Each turn | Terminates instead | No stop_reason check | +| **VERL** | Each turn | Global (256 chars) | Silent failure | +| **NeMo-RL** | Each turn | Dynamic (tokens) | No stop_reason check | +| **TRL** | Relies on vLLM | No | No check | +| **Verifiers** | Post-hoc | No | Crashes on incomplete JSON | + +**Best practices:** +- Check prompt length each turn, terminate if exceeds (Tinker) +- Token-based truncation, dynamic allocation (NeMo-RL) +- Global tool result truncation config (VERL) +- Check `stop_reason == "length"` before parsing tools (new) + +--- + +## Migration from Current Blackjack + +### Breaking Changes + +**From Episode class (doc 2):** +1. Drop `pad_id`, `request_len`, `response_len` → Add `response_mask` +2. Update collate function for dynamic padding +3. Update loss computation to use `response_mask` + +**From message format (doc 1):** +4. Dataset returns `{"messages": [...], "target": ...}` instead of formatted strings +5. Get tokenizer in main and pass to rollout loop +6. Rollout loop passes tokenizer to play_game +7. play_game receives `messages` parameter from dataset + +### Non-Breaking + +- Generator API unchanged: `generate(prompt: str) → Completion` +- Single-turn still works (1 iteration of loop) +- Configs additive with defaults + +--- + +## Next Steps + +1. Update Episode class (see `2_episode_class.md`) +2. Add tokenizer to rollout loop (see `1_message_format_for_tool_calling.md`) +3. Implement budget checking in rollout loop (this doc) +4. Update dataset to return messages +5. Add truncation metrics to dashboard +6. Test with various `max_seq_len` values + +--- + +**End of Document** From 9bf1dbe555d0602e3f21d963ef9198bebc911577 Mon Sep 17 00:00:00 2001 From: Felipe Mello Date: Tue, 18 Nov 2025 06:46:32 -0800 Subject: [PATCH 06/11] misc --- .claude/settings.local.json | 18 + apps/blackjack/PLAN.md | 889 ++++++ apps/blackjack/main_v2.py | 1359 +++++++++ apps/blackjack/qwen3_1_7b.yaml | 10 +- brainstorming_forge_tau/3_truncation_v1.md | 1461 ++++++++++ brainstorming_forge_tau/3_truncation_v2.md | 2458 +++++++++++++++++ .../changes/3_truncation_design_decisions.md | 534 ++++ .../changes/3_truncation_v3.md | 627 +++++ .../3_truncation_v4_abstraction_fixes.md | 876 ++++++ .../changes/3_truncation_v4_final.md | 860 ++++++ .../changes/3_truncation_v5_simplified_env.md | 997 +++++++ ...uncation_v6_token_accumulation_insights.md | 635 +++++ .../3_truncation_v7_library_comparison.md | 866 ++++++ ...truncation_v7_simplified_implementation.md | 818 ++++++ .../3_truncation_v8_qwen_think_tags.md | 1073 +++++++ .../3_truncation_v9_core_issue_and_fix.md | 368 +++ ...simplification_ideas_token_accumulation.md | 175 ++ debug/base_anchor_changes_needed.md | 511 ++++ debug/follow_up_improvements.md | 200 ++ debug/remaining_budget_analysis.md | 235 ++ debug/test_fixes_summary.md | 168 ++ debug/test_token_accumulator_validation.py | 644 +++++ debug/thinking_tag_test.py | 110 + debug/token_accumulator_fn.py | 310 +++ debug/token_accumulator_fn_v2.py | 250 ++ debug/token_accumulator_fn_v3.py | 410 +++ debug/token_accumulator_fn_v4.py | 313 +++ debug/truncation_reason_simplification.md | 184 ++ dummy.py | 103 + out.txt | 426 +++ out21.txt | 273 ++ test_minimal_truncation.py | 262 ++ test_simple_reconstruction.py | 158 ++ test_simple_vllm_v2.py | 1213 ++++++++ test_vllm_tokens_direct.py | 294 ++ 35 files changed, 20084 insertions(+), 4 deletions(-) create mode 100644 .claude/settings.local.json create mode 100644 apps/blackjack/PLAN.md create mode 100644 apps/blackjack/main_v2.py create mode 100644 brainstorming_forge_tau/3_truncation_v1.md create mode 100644 brainstorming_forge_tau/3_truncation_v2.md create mode 100644 brainstorming_forge_tau/changes/3_truncation_design_decisions.md create mode 100644 brainstorming_forge_tau/changes/3_truncation_v3.md create mode 100644 brainstorming_forge_tau/changes/3_truncation_v4_abstraction_fixes.md create mode 100644 brainstorming_forge_tau/changes/3_truncation_v4_final.md create mode 100644 brainstorming_forge_tau/changes/3_truncation_v5_simplified_env.md create mode 100644 brainstorming_forge_tau/changes/3_truncation_v6_token_accumulation_insights.md create mode 100644 brainstorming_forge_tau/changes/3_truncation_v7_library_comparison.md create mode 100644 brainstorming_forge_tau/changes/3_truncation_v7_simplified_implementation.md create mode 100644 brainstorming_forge_tau/changes/3_truncation_v8_qwen_think_tags.md create mode 100644 brainstorming_forge_tau/changes/3_truncation_v9_core_issue_and_fix.md create mode 100644 brainstorming_forge_tau/simplification_ideas_token_accumulation.md create mode 100644 debug/base_anchor_changes_needed.md create mode 100644 debug/follow_up_improvements.md create mode 100644 debug/remaining_budget_analysis.md create mode 100644 debug/test_fixes_summary.md create mode 100644 debug/test_token_accumulator_validation.py create mode 100644 debug/thinking_tag_test.py create mode 100644 debug/token_accumulator_fn.py create mode 100644 debug/token_accumulator_fn_v2.py create mode 100644 debug/token_accumulator_fn_v3.py create mode 100644 debug/token_accumulator_fn_v4.py create mode 100644 debug/truncation_reason_simplification.md create mode 100644 dummy.py create mode 100644 out.txt create mode 100644 out21.txt create mode 100644 test_minimal_truncation.py create mode 100644 test_simple_reconstruction.py create mode 100644 test_simple_vllm_v2.py create mode 100644 test_vllm_tokens_direct.py diff --git a/.claude/settings.local.json b/.claude/settings.local.json new file mode 100644 index 000000000..28592968a --- /dev/null +++ b/.claude/settings.local.json @@ -0,0 +1,18 @@ +{ + "permissions": { + "allow": [ + "Bash(find:*)", + "Bash(python:*)", + "Bash(conda activate:*)", + "Bash(conda env config vars:*)", + "Bash(timeout 5 bash:*)", + "Bash(curl:*)", + "Bash(lsof:*)", + "Bash(xargs:*)", + "Bash(test:*)", + "Bash(python3:*)" + ], + "deny": [], + "ask": [] + } +} diff --git a/apps/blackjack/PLAN.md b/apps/blackjack/PLAN.md new file mode 100644 index 000000000..5ff898a82 --- /dev/null +++ b/apps/blackjack/PLAN.md @@ -0,0 +1,889 @@ +# Blackjack Multi-Turn Refactor Plan + +## Context + +### Initial Requirements +From the user: +> Currently the evaluate_response and playgame are a mess. A lot of places are parsing the output. It doesn't make any sense. +> +> Also, what I am seeing is that we are giving the reward we want, but the reward should come from the env. +> +> We need to clean up the file. I guess in our case we want to change the reward to something like this: +> - We win, then reward is 3 +> - We play and lose, then reward is 1 +> - We don't have Hit or Stand, then reward is -1 +> +> But we need to get this reward per interaction, which leads to the next issue: The way that it's currently implemented is not really multiturn. Multiturn would be: +> ``` +> A: Hit, +> tool: 7 +> A: Hit, +> tool: 14 +> ``` +> but we are not ready for it, so don't worry about it. We will get there. + +### Architecture Alignment +This plan now aligns with Forge's broader multi-turn tool calling architecture: +- **Message format** (from `1_message_format_for_tool_calling.md`): Dataset returns messages, formatting happens in rollout loop +- **Episode class** (from `2_episode_class.md`): New Episode with response_mask, all_token_ids, logprobs +- **Truncation** (from `3_truncation.md`): Episode-level budget tracking with max_seq_len + +--- + +## The Core Problem + +**Current implementation has a fundamental learning bug**: All steps in a game get the SAME final reward. + +Example: +```python +# Game: HIT (15→18), HIT (18→20), STAND (20) → WIN (+1) +# Current: All 3 steps get reward +3 +# Problem: Can't distinguish good HITs from bad HITs! + +# Game: HIT (15→18), HIT (18→23) → BUST (-1) +# Current: All 2 steps get reward -1 +# Problem: First HIT was good! Second HIT was bad! +``` + +**Root cause**: We create ONE episode per step instead of ONE episode per game with all turns concatenated. + +**Solution**: Multi-turn episode where: +- ONE episode per game (not per step) +- All turns concatenated into single sequence +- Response mask marks which tokens to train on (critical for future tool calling) +- Single final reward applies to entire sequence + +This architecture works for both: +- **Blackjack now**: Multiple game steps (HIT/STAND) in one episode +- **Tool calling later**: Multiple LLM + tool interactions in one episode + +--- + +## Architecture Overview + +### Current (Broken) +```python +# play_game() returns multiple step_results +# continuous_rollouts() creates one Episode per step +for step_result in all_step_results: + episode = Episode(...) # Same game_id, same final_reward + episodes.append(episode) +``` + +### New (Fixed) +```python +# Dataset returns structured messages (not formatted strings) +sample = await dataloader.sample.call_one() +messages = sample["messages"] # List of message dicts + +# play_game() formats messages each turn, returns ONE episode per game +episode = await play_game( + messages=messages, # Initial messages from dataset + tokenizer=tokenizer, # Passed from main + max_seq_len=2048, # Episode-level budget + ... +) + +# Episode contains all turns concatenated +episode = Episode( + all_token_ids=[prompt1, resp1, prompt2, resp2, ...], + response_mask=[0, 0, 1, 1, 0, 0, 1, 1, ...], # 0=prompt, 1=response + logprobs=[0, 0, logp1, logp2, 0, 0, logp3, ...], + reward=final_game_reward +) +``` + +--- + +## Key Changes from Current Code + +### 1. Message Format Changes +**From `1_message_format_for_tool_calling.md`:** + +| Component | Current | New | +|-----------|---------|-----| +| **Dataset** | Returns formatted string from `apply_chat_template()` | Returns `{"messages": [...], "target": ...}` | +| **Rollout Loop** | Receives string, passes to generator | Formats messages with `tokenizer.apply_chat_template()` each turn | +| **Generator** | Receives string | Unchanged - still receives string | +| **Tokenizer location** | Not available in rollout | Passed from main → rollout loop → play_game | + +**Why**: Need message structure to add game state each turn and prepare for tool calling. + +### 2. Episode Class Changes +**From `2_episode_class.md`:** + +| Field | Current | New | Why | +|-------|---------|-----|-----| +| `pad_id, request_len, response_len` | ✅ Used | ❌ Removed | Workarounds for missing response_mask | +| `response_mask` | ❌ Missing | ✅ Required | Marks which tokens to train on | +| `all_token_ids` | ❌ Missing | ✅ Required | Concatenated tokens from all turns | +| `logprobs` | ❌ Missing | ✅ Required | Log probabilities for all tokens | +| `completion` | ✅ Stores full object | ❌ Removed | Memory waste, just extract needed fields | +| `generator_version` | From `completion` | ✅ First-class field | Critical for replay buffer eviction | +| `is_truncated` | ❌ Missing | ✅ First-class field | Mark incomplete episodes | +| `message_log` | ❌ Missing | ✅ Optional | Store conversation for debugging | + +### 3. Truncation Strategy +**From `3_truncation.md`:** + +- **Episode-level budget**: `max_seq_len=2048` (covers all turns) +- **Per-turn checks**: Before each generation, check if `len(prompt_tokens) >= max_seq_len` +- **Dynamic max_tokens**: `max_tokens = max_seq_len - len(prompt_tokens)` +- **Mid-generation truncation**: Stop if `response.stop_reason == "length"` +- **Prefix caching**: Enable for 2-3x speedup on multi-turn prompts + +--- + +## Implementation Steps + +### Goals +1. ONE function that parses model output (no scattered parsing) +2. Use environment reward as base with custom penalties for invalid actions +3. Create ONE episode per game with all turns concatenated +4. Add response_mask to prevent training on prompts +5. Format messages in rollout loop (not dataset) +6. Episode-level budget tracking with max_seq_len +7. Collate function handles variable-length episodes + +--- + +### Step 1: Create New Episode Class + +**File**: `apps/blackjack/episode.py` (new file) + +**Based on `2_episode_class.md`:** + +```python +from dataclasses import dataclass, field +from typing import Any +import torch + + +@dataclass +class Episode: + """ + Episode data for GRPO training with multi-turn support. + + For blackjack (multi-turn game, single episode): + - all_token_ids: [prompt1, resp1, prompt2, resp2, ...] + - response_mask: [0, 0, ..., 1, 1, ..., 0, 0, ..., 1, 1, ...] + [ prompt1 ][ resp1 ][ prompt2 ][ resp2 ] + - reward: Final game outcome (win/loss/push) + + One episode = one complete game with all turns. + """ + + # ============ Core Identifiers ============ + episode_id: str + task_name: str | None = None # e.g., "blackjack" + + # ============ Policy Version (for replay buffer eviction) ============ + generator_version: int = 0 + is_truncated: bool = False # Hit max_seq_len or max_turns + + # ============ Token Data ============ + all_token_ids: torch.Tensor # Shape: (seq_len,) + logprobs: torch.Tensor # Shape: (seq_len,) + response_mask: torch.Tensor # Shape: (seq_len,) + # 1.0 = train on this token (response) + # 0.0 = skip this token (prompt) + + # ============ Rewards & Training ============ + reward: float | None = None + advantage: float | None = None + ref_logprobs: torch.Tensor | None = None # Shape: (seq_len,) + + # ============ Metadata ============ + metadata: dict[str, Any] = field(default_factory=dict) + # Suggested fields: + # - num_turns: int + # - game_id: str + # - env_reward: float (raw from environment) + # - has_invalid_action: bool + # - truncation_reason: str ("max_seq_len", "max_turns", "generation_length", None) + + # ============ Optional Debugging ============ + message_log: list[dict[str, Any]] | None = None + # OpenAI-compatible messages for debugging/analysis + +# Type alias for GRPO groups +Group = list[Episode] +``` + +**Key differences from current Episode (main.py:80-122)**: +- ❌ Remove: `pad_id`, `request_len`, `response_len`, `completion` +- ✅ Add: `all_token_ids`, `logprobs`, `response_mask`, `is_truncated`, `message_log` +- ✅ Move: `generator_version` from `completion` to first-class field + +--- + +### Step 2: Create Unified Parser + +**File**: `apps/blackjack/main.py` + +```python +def parse_action(response_text: str) -> str: + """ + Parse action from model's text response. + + Returns: + "HIT", "STAND", or "INVALID" + + Note: + INVALID actions default to STAND in play_game() but are penalized + in the reward function (-1 regardless of game outcome). + """ + text_lower = response_text.lower().strip() + + if text_lower.endswith("hit"): + return "HIT" + elif text_lower.endswith("stand"): + return "STAND" + else: + return "INVALID" +``` + +**Replace**: Current `parse_action()` at main.py:244-256 + +--- + +### Step 3: Create Reward Calculation Function + +**File**: `apps/blackjack/main.py` + +```python +def calculate_reward( + env_reward: float, +) -> float: + """ + Reward structure: + - Win: +3 + - Else: -1 + + Args: + env_reward: Raw environment reward (+1 win, 0 push, -1 loss) + + Returns: + Final shaped reward for training + """ + + # Custom reward shaping based on game outcome + if env_reward > 0: # Win + return 3.0 + else: # Loss + return -1.0 +``` + +**Add metrics**: +```python +record_metric("reward/env_reward", env_reward, Reduce.MEAN) +record_metric("reward/final_reward", reward, Reduce.MEAN) +record_metric("reward/invalid_action_rate", 1 if has_invalid_action else 0, Reduce.MEAN) +``` + +**Delete**: `BlackJackReward` actor (main.py:258-302) + +--- + +### Step 4: Get Tokenizer in main() + +**File**: `apps/blackjack/main.py` + +**Add after service initialization** (after line 659): + +```python +# Get tokenizer for rollout loop +from vllm.transformers_utils.tokenizer import get_tokenizer +tokenizer = get_tokenizer(cfg.policy.get("model")) +pad_id = tokenizer.pad_token_id if tokenizer.pad_token_id is not None else tokenizer.eos_token_id +``` + +**Update continuous_rollouts signature**: +```python +async def continuous_rollouts(tokenizer, pad_id): # Add parameters +``` + +**Pass to tasks** (main.py:838-840): +```python +rollout_tasks = [ + asyncio.create_task(continuous_rollouts(tokenizer, pad_id)) + for _ in range(num_rollout_threads) +] +``` + +--- + +### Step 5: Refactor play_game() for Multi-Turn + +**File**: `apps/blackjack/main.py` + +**Replace current play_game()** (main.py:359-557) with: + +```python +async def play_game( + game_idx: int, + game_id: str, + server_url: str, + policy: Generator, + tokenizer, + pad_id: int, + max_seq_len: int = 2048, + max_turns: int = 10, + rollout_count: int = 0, +) -> Episode: + """ + Play a single blackjack game and return ONE episode with all turns. + + Key changes: + - Formats messages each turn (not once at start) + - Tracks episode-level budget (max_seq_len) + - Returns single Episode with concatenated tokens + - Includes response_mask for training + + Returns: + Episode with all turns concatenated + """ + env = OpenSpielEnv(base_url=server_url) + env._http.trust_env = False + + print(f"\n🎮 GAME {game_idx + 1} (Rollout #{rollout_count + 1}) - ID: {game_id}") + + # Initialize message history + messages = [ + {"role": "system", "content": "You are an expert BlackJack player. Analyze the game state and output only 'HIT' or 'STAND'."} + ] + + # Track all tokens and masks across all turns + all_tokens = [] + all_logprobs = [] + response_mask = [] + + # Track for reward calculation and metrics + has_invalid_action = False + is_truncated = False + truncation_reason = None + + try: + result = env.reset() + obs = result.observation + done = False + turn_num = 0 + + while not done and turn_num < max_turns: + # Add user message with current game state + player_total = obs.metadata.get("player_total", "?") + dealer_card = obs.metadata.get("dealer_card", "?") + dealer_str = "Ace" if dealer_card == 1 else str(dealer_card) + + state_desc = f"=== BlackJack Game (Turn {turn_num + 1}) ===\n\n" + state_desc += "Current State:\n" + state_desc += f" Your hand total: {player_total}\n" + state_desc += f" Dealer shows: {dealer_str}\n" + state_desc += f" Legal actions: HIT, STAND\n\n" + state_desc += "What do you do? Output only 'HIT' or 'STAND'." + + messages.append({"role": "user", "content": state_desc}) + + # Format prompt from full message history + prompt_text = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=False + ) + + # Encode to check budget + prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) + + # Check if prompt exceeds budget + if len(prompt_tokens) >= max_seq_len: + is_truncated = True + truncation_reason = "max_seq_len" + record_metric("episode/terminated_budget_exceeded", 1, Reduce.MEAN) + print(f" [TRUNCATED] Prompt length {len(prompt_tokens)} >= {max_seq_len}") + break + + # Calculate remaining budget for this turn + remaining = max_seq_len - len(prompt_tokens) + + # Generate with remaining budget + try: + responses = await asyncio.wait_for( + policy.generate.route([prompt_text], sampling_params={"max_tokens": remaining}), + timeout=60.0 + ) + except asyncio.TimeoutError: + print(f"[ERROR] Policy generation timed out for {game_id} at turn {turn_num}") + raise + + response = responses[0] + + # Check if generation was cut off + if response.stop_reason == "length": + is_truncated = True + truncation_reason = "generation_length" + record_metric("episode/generation_truncated", 1, Reduce.MEAN) + print(f" [TRUNCATED] Generation hit max_tokens={remaining}") + # Continue to parse and execute, but mark episode as truncated + + # Accumulate tokens and build response mask + all_tokens.extend(prompt_tokens) + all_tokens.extend(response.token_ids) + response_mask.extend([0] * len(prompt_tokens)) # Don't train on prompts + response_mask.extend([1] * len(response.token_ids)) # Train on responses + all_logprobs.extend([0.0] * len(prompt_tokens)) + all_logprobs.extend(response.logprobs) + + # Parse action + action_name = parse_action(response.text) + + # Add assistant response to message history + messages.append({"role": "assistant", "content": response.text}) + + + if action_name == "INVALID": + has_invalid_action = True + action_name = "STAND" # Fallback + action_id = 1 + elif action_name == "HIT": + action_id = 0 + elif action_name == "STAND": + action_id = 1 + + # Execute action + result = env.step( + OpenSpielAction(action_id=action_id, game_name="blackjack") + ) + obs = result.observation + done = result.done + + turn_num += 1 + + # Check if hit max_turns + if turn_num >= max_turns and not done: + is_truncated = True + truncation_reason = "max_turns" + record_metric("episode/hit_max_turns", 1, Reduce.MEAN) + + # Get final game outcome + final_game_reward = result.reward + + outcome_text = ( + "WIN" if final_game_reward > 0 + else ("LOSS" if final_game_reward < 0 else "PUSH") + ) + print(f" Result: {outcome_text} (reward={final_game_reward}, turns={turn_num})") + + # Calculate final reward using separate function + reward = calculate_reward( + env_reward=final_game_reward, + ) + + # Metrics + record_metric("reward/env_reward", final_game_reward, Reduce.MEAN) + record_metric("reward/final_reward", reward, Reduce.MEAN) + record_metric("reward/invalid_action_rate", int(has_invalid_action), Reduce.MEAN) + record_metric("game/total_games_played", 1, Reduce.SUM) + record_metric("game/average_game_length_in_turns", turn_num, Reduce.MEAN) + record_metric("game/average_reward", final_game_reward, Reduce.MEAN) + record_metric("game/win_rate", final_game_reward > 0:, Reduce.MEAN) + + # Create episode + episode = Episode( + episode_id=str(uuid.uuid4()), + task_name="blackjack", + generator_version=0, # TODO: Get from policy + is_truncated=is_truncated, + all_token_ids=torch.tensor(all_tokens, dtype=torch.long), + logprobs=torch.tensor(all_logprobs, dtype=torch.float), + response_mask=torch.tensor(response_mask, dtype=torch.float), + reward=reward, + advantage=None, # Computed later + ref_logprobs=None, # Computed later + message_log=messages, + metadata={ + "num_turns": turn_num, + "game_id": game_id, + "env_reward": final_game_reward, + "has_invalid_action": has_invalid_action, + "truncation_reason": truncation_reason, + } + ) + + return episode + + except Exception as e: + print(f"[ERROR] play_game {game_id} failed with {type(e).__name__}: {e}") + import traceback + traceback.print_exc() + raise + finally: + env.close() +``` + +**Key changes**: +- Takes `tokenizer`, `pad_id`, `max_seq_len`, `max_turns` parameters +- Builds messages list and formats each turn +- Tracks episode-level budget +- Returns single Episode with concatenated tokens +- No longer returns list of step_results + +--- + +### Step 6: Update continuous_rollouts() + +**File**: `apps/blackjack/main.py` + +**Replace current continuous_rollouts()** (main.py:714-786) with: + +```python +async def continuous_rollouts(tokenizer, pad_id): + rollout_count = 0 + server_url = cfg.blackjack_env.get("server_url", "http://localhost:8004") + max_seq_len = cfg.blackjack_env.get("max_seq_len", 2048) + max_turns = cfg.blackjack_env.get("max_turns", 10) + + while not shutdown_event.is_set(): + t = Tracer("main_perf/continuous_rollouts") + t.start() + + # Play group_size games, each returns ONE episode + episodes = [] + for game_idx in range(group_size): + game_id = str(uuid.uuid4())[:8] + episode = await play_game( + game_idx=game_idx, + game_id=game_id, + server_url=server_url, + policy=policy, + tokenizer=tokenizer, + pad_id=pad_id, + max_seq_len=max_seq_len, + max_turns=max_turns, + rollout_count=rollout_count, + ) + episodes.append(episode) + + t.step("play_games") + + # Compute reference logprobs for all episodes + max_len = max(len(e.all_token_ids) for e in episodes) + + # Pad episodes to same length for batching + padded_tokens = [] + for episode in episodes: + seq_len = len(episode.all_token_ids) + pad_len = max_len - seq_len + padded = F.pad(episode.all_token_ids, (0, pad_len), value=pad_id) + padded_tokens.append(padded) + + input_ids = torch.stack(padded_tokens) # [batch, max_len] + + # Get reference logprobs + ref_logprobs = await ref_model.forward.route( + input_ids, + 0, # No separate prompt (mask handles it) + return_logprobs=True + ) + t.step("reference_model_calculate_logprobs") + + # Assign ref_logprobs to episodes (unpad) + for i, episode in enumerate(episodes): + seq_len = len(episode.all_token_ids) + episode.ref_logprobs = ref_logprobs[i, :seq_len] # Unpad + + del ref_logprobs, input_ids + + # Compute advantages + advantages = await compute_advantages.compute.call_one(episodes) + for episode, advantage in zip(episodes, advantages): + episode.advantage = advantage + await replay_buffer.add.call_one(episode) + + rollout_count += 1 + record_metric("main/continuous_rollouts/count_rollout_iterations", 1, Reduce.SUM) + t.stop() +``` + +**Key changes**: +- Takes `tokenizer` and `pad_id` parameters +- Gets `max_seq_len` and `max_turns` from config +- Passes new parameters to `play_game()` +- Handles variable-length episodes from `play_game()` + +--- + +### Step 7: Update collate() Function + +**File**: `apps/blackjack/main.py` + +**Replace current collate()** (main.py:131-166) with: + +```python +def collate( + batches: list[Group], +) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: + """ + Collates episodes into batches with dynamic padding. + + Each episode has variable length (different number of turns). + """ + inputs = [] + targets = [] + + for batch in batches: + # Find max length in this batch + max_len = max(len(e.all_token_ids) for e in batch) + pad_id = 0 # Will be set via F.pad value parameter + + all_token_ids = [] + logprobs_list = [] + ref_logprobs_list = [] + advantages_list = [] + masks = [] + + for e in batch: + seq_len = len(e.all_token_ids) + pad_len = max_len - seq_len + + # Right-pad tokens + padded_tokens = F.pad(e.all_token_ids, (0, pad_len), value=pad_id) + all_token_ids.append(padded_tokens) + + # Right-pad response_mask (0 for padding) + padded_mask = F.pad(e.response_mask, (0, pad_len), value=0) + masks.append(padded_mask) + + # Pad logprobs + padded_logprobs = F.pad(e.logprobs, (0, pad_len), value=0) + logprobs_list.append(padded_logprobs) + + # Pad ref_logprobs + padded_ref = F.pad(e.ref_logprobs, (0, pad_len), value=0) + ref_logprobs_list.append(padded_ref) + + advantages_list.append(e.advantage) + + input = {"tokens": torch.stack(all_token_ids)} + target = { + "response": torch.stack(all_token_ids), # Full sequence + "ref_logprobs": torch.stack(ref_logprobs_list), + "advantages": torch.tensor(advantages_list).unsqueeze(-1), + "padding_mask": torch.stack(masks), # Combined response + padding mask + } + + inputs.append(input) + targets.append(target) + + return inputs, targets +``` + +**Key changes**: +- Dynamic padding based on max episode length in batch +- Uses `response_mask` instead of computing mask from pad_id +- Works with variable-length episodes + +--- + +### Step 8: Update main() Service Initialization + +**File**: `apps/blackjack/main.py` + +**Remove `reward_actor` from service initialization** (main.py:640-654): + +```python +# DELETE this from asyncio.gather: +# BlackJackReward.options(**cfg.services.reward_actor).as_service(), + +# BEFORE: +( + env_actor, + policy, + trainer, + replay_buffer, + compute_advantages, + ref_model, + reward_actor, # DELETE THIS +) = await asyncio.gather(...) + +# AFTER: +( + env_actor, + policy, + trainer, + replay_buffer, + compute_advantages, + ref_model, +) = await asyncio.gather( + EnvironmentActor.options(**cfg.actors.blackjack_env).as_actor(**env_actor_config), + Policy.options(**cfg.services.policy).as_service(**cfg.policy), + TitanTrainer.options(**cfg.actors.trainer).as_actor(**cfg.trainer, loss=simple_grpo_loss), + ReplayBuffer.options(**cfg.actors.replay_buffer).as_actor(**cfg.replay_buffer, collate=collate), + ComputeAdvantages.options(**cfg.actors.compute_advantages).as_actor(), + ReferenceModel.options(**cfg.services.ref_model).as_service(**cfg.ref_model), +) +``` + +--- + +### Step 9: Add Config Parameters + +**File**: `apps/blackjack/qwen3_1_7b.yaml` (or similar config file) + +**Add to `blackjack_env` section**: + +```yaml +blackjack_env: + server_url: "http://localhost:8004" + server_port: 8004 + game_name: "blackjack" + model: "Qwen/Qwen3-1.7B" + max_seq_len: 2048 # Episode-level budget (all turns) + max_turns: 10 # Hard limit on turns + +policy: + engine_args: + enable_prefix_caching: true # Critical for multi-turn (2-3x speedup) + # max_model_len defaults to model's context length +``` + +--- + +### Step 10: Remove Old Code + +**File**: `apps/blackjack/main.py` + +**Delete**: +1. Old `Episode` class (lines 80-122) +2. `BlackJackReward` actor (lines 258-302) +3. `format_prompt()` function (lines 189-242) - replaced by inline message building +4. `EnvironmentActor` class (lines 316-340) - no longer needed + +**Add import**: +```python +from apps.blackjack.episode import Episode, Group +``` + +--- + +## Benefits of This Refactor + +1. **Fixes fundamental learning problem**: Model gets single reward for entire action sequence +2. **Multi-turn ready**: Same structure works for tool calling later +3. **Proper masking**: `response_mask` prevents training on prompts (critical for tool calling) +4. **Budget tracking**: Episode-level `max_seq_len` prevents OOM +5. **Simpler code**: No `BlackJackReward` actor, reward calculated inline +6. **Variable length**: Collate handles different game lengths dynamically +7. **Message format**: Ready for tool calling with structured messages +8. **Aligned with docs**: Follows patterns from `1_message_format_for_tool_calling.md`, `2_episode_class.md`, `3_truncation.md` + +--- + +## Open Questions & TODOs + +### 1. Generator Version Tracking + +**Question**: How to get current policy version from Generator? + +**Current**: Hardcoded to 0 +```python +generator_version=0 # TODO: Get from policy +``` + +**Need to investigate**: Does Generator actor expose a `.version` property? Or do we track it in main loop? + +--- + +### 2. Reward Scaling + +**Question**: What's the right balance between env reward and custom shaping? + +**Current plan**: +```python +Win=3, Push=1, Loss=-1, Invalid=-1 +``` + +**Alternative**: Use pure env reward +```python +Win=1, Push=0, Loss=-1, Invalid=-1 +``` + +**Recommendation**: Start with custom scaling, monitor metrics, adjust once model learns basic strategy. + +--- + +### 3. Dataset Integration (Future) + +**From `1_message_format_for_tool_calling.md`:** + +For blackjack, we don't have a traditional "dataset" - each game generates fresh data. But the pattern is: +- Dataset should return `{"messages": [...], "target": ..., "task_name": "blackjack"}` +- For blackjack: `messages = [{"role": "system", "content": "..."}]` +- This is currently inline in `play_game()`, could be extracted to a dataset-like function + +**TODO**: Investigate how other frameworks structure dataset output schema (TypedDict, dataclass, etc.) + +--- + +### 4. Truncated Episode Handling + +**From `3_truncation.md`:** + +Should we drop truncated episodes from training? + +**Config option**: +```yaml +grpo: + include_truncated_in_buffer: false # Drop incomplete episodes +``` + +**Need to implement** in `continuous_rollouts()`: +```python +if not episode.is_truncated or cfg.grpo.get("include_truncated_in_buffer", True): + await replay_buffer.add.call_one(episode) +else: + record_metric("replay_buffer/episodes_dropped_truncated", 1, Reduce.SUM) +``` + +--- + +### 5. Prefix Caching Verification + +**From `3_truncation.md`:** + +Enable prefix caching for 2-3x speedup on multi-turn prompts. + +**Config**: +```yaml +policy: + engine_args: + enable_prefix_caching: true +``` + +**TODO**: Verify this is enabled and measure speedup in metrics. + +--- + +## Migration Checklist + +- [ ] Create `apps/blackjack/episode.py` with new Episode class +- [ ] Update `parse_action()` to return "HIT", "STAND", "INVALID" +- [ ] Add `calculate_reward()` function +- [ ] Delete `BlackJackReward` actor +- [ ] Get tokenizer in `main()` and pass to rollout loop +- [ ] Refactor `play_game()` to return single Episode +- [ ] Update `continuous_rollouts()` to handle new signature +- [ ] Update `collate()` for variable-length episodes +- [ ] Remove `reward_actor` from service initialization +- [ ] Add `max_seq_len`, `max_turns` to config +- [ ] Enable `prefix_caching` in policy config +- [ ] Delete old Episode class from main.py +- [ ] Delete `format_prompt()` function +- [ ] Delete `EnvironmentActor` class +- [ ] Test with single game +- [ ] Test with group_size > 1 +- [ ] Monitor new metrics (truncation_reason, episode length, etc.) +- [ ] Verify model training improves with multi-turn structure + +--- + +**End of Plan** diff --git a/apps/blackjack/main_v2.py b/apps/blackjack/main_v2.py new file mode 100644 index 000000000..7ec1968ed --- /dev/null +++ b/apps/blackjack/main_v2.py @@ -0,0 +1,1359 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +# Usage: python -m apps.blackjack.main_v2 --config apps/blackjack/qwen3_1_7b.yaml + +import asyncio +import multiprocessing +import os +import signal +import subprocess +import time +import uuid +import threading +from dataclasses import dataclass, field +from enum import Enum +from functools import lru_cache +from typing import Any + +import requests +import torch +import torch.nn.functional as F +import torchstore as ts +from envs.openspiel_env import OpenSpielAction, OpenSpielEnv +from forge.actors._torchstore_utils import ( + get_dcp_whole_state_dict_key, + get_param_prefix, +) +from forge.actors.generator import Generator +from forge.actors.reference_model import ReferenceModel +from forge.actors.replay_buffer import ReplayBuffer +from forge.actors.trainer import TitanTrainer +from forge.controller.actor import ForgeActor +from forge.controller.provisioner import init_provisioner, shutdown +from forge.observability.metric_actors import get_or_create_metric_logger +from forge.observability.metrics import record_metric, Reduce +from forge.observability.perf_tracker import Tracer +from forge.types import LauncherConfig, ProvisionerConfig +from forge.util.config import parse +from forge.util.ops import compute_logprobs +from monarch.actor import endpoint +from omegaconf import DictConfig +from vllm import SamplingParams +from vllm.transformers_utils.tokenizer import get_tokenizer + + +# ============================================================================ +# Server Management Functions (from main.py) +# ============================================================================ + + +def start_openspiel_server(game_name: str, port: int): + """Start OpenSpiel server in background process.""" + os.environ["OPENSPIEL_GAME"] = game_name + + import uvicorn + from envs.openspiel_env.server.app import app + + print(f"[SERVER] Starting uvicorn for game '{game_name}' on port {port}") + uvicorn.run(app, host="0.0.0.0", port=port, log_level="info") + + +def kill_process_on_port(port: int): + """Kill any process using the specified port.""" + result = subprocess.run( + ["lsof", "-ti", f":{port}"], + capture_output=True, + text=True, + timeout=5, + ) + if result.stdout.strip(): + pids = result.stdout.strip().split("\n") + for pid in pids: + try: + os.kill(int(pid), signal.SIGKILL) + print(f"[DEBUG] Killed existing process {pid} on port {port}") + except ProcessLookupError: + pass + time.sleep(0.5) + return True + return False + + +# ============================================================================ +# New Data Models (from v5) +# ============================================================================ + + +@dataclass +class Episode: + """Episode data for GRPO training (new structure).""" + + # Required fields (no defaults) + episode_id: str + all_token_ids: torch.Tensor # All tokens in conversation + logprobs: torch.Tensor # Logprobs for all tokens + response_mask: torch.Tensor # Mask: 1 = assistant token, 0 = other + reward: float + + # Optional fields (with defaults) + task_name: str = "blackjack" + generator_version: int = 0 + is_truncated: bool = False + advantage: float | None = None + ref_logprobs: torch.Tensor | None = None + metadata: dict[str, Any] = field(default_factory=dict) + message_log: list[dict[str, str]] | None = None + + +@dataclass +class EnvStepResult: + """Result from environment step.""" + + observation: dict[str, str] # Next message: {"role": "user", "content": "..."} + reward: float # Reward for this step + done: bool # Episode ended? + metadata: dict[str, Any] = field(default_factory=dict) + + +# ============================================================================ +# TokenAccumulator (from v5) +# ============================================================================ +from enum import Enum + + +class SanityCheckMode(Enum): + """Validation mode for finalize().""" + + STRICT = "strict" + DISABLE = "disable" + + +class TruncationReason(Enum): + """Why an episode was truncated.""" + + MAX_TURNS = "max_turns" + AGENT_TOO_LONG = "agent_too_long" # No EOS token or exceeded budget + USER_TOO_LONG = "user_too_long" + TOOL_TOO_LONG = "tool_too_long" + + +class TokenAccumulator: + """ + Accumulates tokens during multi-turn RL rollouts with strict budget constraints. + **IMPORTANT** Truncation behavior: + - Agent response incomplete (no EOS): Tokens are dropped, nothing accumulated + - User message too long: Truncated to fit, episode marked for dropping + + Why do we need this class? + Problem: We need to track tokens as the conversation grows turn-by-turn. + + Naive approach 1 - Just tokenize each message independently: + user_text = "Hello" + user_tokens = tokenizer.encode(user_text) # [9906] + WRONG! -> Missing special tokens! Should be: [<|im_start|>, user, \n, 9906, <|im_end|>] + + Naive approach 2 - Tokenize a full conversation + WRONG! -> Qwen's template strips tags from past messages, tokens don't match! + Also, hard to create mask for the tokens that are traianble + + Solution - Delta tokenization: + We tokenize [anchor + new_message] and slice off only the new tokens, where anchor is just a dummy message to allow the tokenizer to apply the correct message tokens, e.g. <|im_start|>: + + Turn 1, adding user message: + tokenize([system, empty_user, new_user]) → [...system..., ...empty_user..., ...new_user...] + slice from anchor_len → get only new_user tokens + + Turn 1, adding assistant: + tokenize([system, empty_user, new_assistant]) → [...system..., ...empty_user..., ...new_assistant...] + slice from anchor_len → get only new_assistant tokens + + The anchor ([system, empty_user]) stays constant, so the chat template applies + consistent formatting to the new message, and we extract just those tokens. + + Usage: + acc = TokenAccumulator(tokenizer, messages=[...], max_seq_len=2048, eos_token_id=...) + + acc.add_user_message("Hello") + + input_text = acc.format_prompt() + + response = model.generate(input_text, max_tokens=acc.get_remaining_budget()) + + acc.add_assistant_response(response.text, response.token_ids) + + if acc.is_truncated: + return None # Drop episode + + return Episode( + token_ids=acc.accumulated_tokens, + response_mask=acc.response_mask, + log_probs=acc.log_probs, + messages=messages, + ...) + """ + + # Class-level lock for thread-safe tokenizer access across all instances + _tokenizer_lock = threading.Lock() + + def __init__( + self, + tokenizer, + messages: list[dict], + max_seq_len: int, + eos_token_id: int, + sanity_check_mode: SanityCheckMode = SanityCheckMode.STRICT, + ): + self.tokenizer = tokenizer + self.max_seq_len = max_seq_len + self.eos_token_id = eos_token_id + self.sanity_check_mode = sanity_check_mode + + # Core state + self.messages = [] + self.accumulated_tokens = [] + self.response_mask = [] + self.logprobs = [] + + # Truncation tracking + self.is_truncated = False + self.truncation_reason = None + + self._setup_anchor(messages) + self._initialize_messages(messages) + + # ============ Public API ============ + + def add_user_message(self, content: str) -> bool: + """ + Add user message, truncating to fit budget if necessary. + Returns False if truncated. + """ + user_tokens = self._tokenize_delta({"role": "user", "content": content}, "user") + budget = self.get_remaining_budget() + original_len = len(user_tokens) + user_tokens = self._truncate_to_fit( + user_tokens, budget, TruncationReason.USER_TOO_LONG + ) + + if user_tokens: + self.messages.append({"role": "user", "content": content}) + self._accumulate(user_tokens, is_response=False) + + return len(user_tokens) == original_len + + def add_assistant_response( + self, + response_text: str, + response_token_ids: list[int], + response_logprobs: list[float] | None = None, + ) -> bool: + print(f"[TokenAccumulator] ===== ENTERED add_assistant_response =====") + """ + Add assistant response. Returns False if response was truncated (no EOS). + Episode should be dropped if this returns False. + """ + # Check for truncation (missing EOS) + if response_token_ids and response_token_ids[-1] != self.eos_token_id: + return self._mark_truncated(TruncationReason.AGENT_TOO_LONG) + + print(f"[TokenAccumulator] About to tokenize assistant response") + print(f"[TokenAccumulator] Response text length: {len(response_text)} chars") + print(f"[TokenAccumulator] Response token_ids length: {len(response_token_ids)} tokens") + print(f"[TokenAccumulator] First 150 chars: {response_text[:150]}") + + # Safety check: If response is suspiciously long, warn and potentially truncate + if len(response_text) > 10000: # 10k chars is way too much for blackjack + print(f"[TokenAccumulator] ⚠️ WARNING: Response text is {len(response_text)} chars - this may cause slow tokenization!") + print(f"[TokenAccumulator] Last 150 chars: {response_text[-150:]}") + + message = {"role": "assistant", "content": response_text} + assistant_tokens = self._tokenize_delta(message, "assistant") + print(f"[TokenAccumulator] Tokenization complete, got {len(assistant_tokens)} tokens") + + # Check budget - reject if would exceed max_seq_len + if len(assistant_tokens) > self.get_remaining_budget(): + return self._mark_truncated(TruncationReason.AGENT_TOO_LONG) + else: + self.messages.append({"role": "assistant", "content": response_text}) + + # Map logprobs: vLLM returns content tokens only, align from end (EOS) + if response_logprobs and len(response_logprobs) == len(response_token_ids): + prefix_len = len(assistant_tokens) - len(response_token_ids) + logprobs = [0.0] * prefix_len + response_logprobs + else: + logprobs = None + + self._accumulate(assistant_tokens, is_response=True, logprobs=logprobs) + return True + + def format_prompt(self) -> str: + """Format current conversation for generation.""" + with self._tokenizer_lock: + return self.tokenizer.apply_chat_template( + self.messages, add_generation_prompt=True, tokenize=False + ) + + def get_remaining_budget(self) -> int: + """ + Get remaining tokens available for generation. + + We reserve generation_prompt_len tokens (e.g., "<|im_start|>assistant\n") + because format_prompt() adds these when preparing input for the model. + """ + used = len(self.accumulated_tokens) + self.generation_prompt_len + return max(0, self.max_seq_len - used) + + def finalize(self) -> bool: + """ + Validate final episode state. + Returns True if valid, raises ValueError if critical issue detected. + """ + self._check_structure() + + if self.sanity_check_mode != SanityCheckMode.DISABLE: + self._check_ground_truth() + + return True + + # ============ Private Helpers ============ + + def _setup_anchor(self, messages: list[dict]): + """ + Setup anchor conversation for delta tokenization. + + Delta tokenization: Instead of re-tokenizing the full conversation after each message, + we tokenize only the new message against a fixed anchor ([system, empty_user]). The dummy anchor is necessary to ensure that all special tokens are added. + + Computes key lengths for budget calculation: + - anchor_len: tokens in [system, empty_user] + - generation_prompt_len: tokens added by add_generation_prompt=True (e.g., "<|im_start|>assistant\n") + - system_len: tokens in [system] alone + """ + if not messages: + raise ValueError("Must provide at least system message") + + system_msg = ( + messages[0] + if messages[0]["role"] == "system" + else {"role": "system", "content": ""} + ) + + # Anchor: [system, empty_user] - stays constant for consistent tokenization + self.anchor = [system_msg, {"role": "user", "content": ""}] + + # Length of anchor without generation prompt + anchor_tokens = self.tokenizer.apply_chat_template( + self.anchor, add_generation_prompt=False, tokenize=True + ) + self.anchor_len = len(anchor_tokens) + + # Length of anchor WITH generation prompt - difference is the prompt overhead + anchor_with_gen = self.tokenizer.apply_chat_template( + self.anchor, add_generation_prompt=True, tokenize=True + ) + self.generation_prompt_len = len(anchor_with_gen) - self.anchor_len + + # System message length alone (for user message delta slicing), e.g. full[self.system_len:] + system_tokens = self.tokenizer.apply_chat_template( + [system_msg], add_generation_prompt=False, tokenize=True + ) + self.system_len = len(system_tokens) + + def _initialize_messages(self, messages: list[dict]): + """Initialize conversation with provided messages.""" + if not messages: + return + + initial_tokens = self.tokenizer.apply_chat_template( + messages, add_generation_prompt=False, tokenize=True + ) + + if len(initial_tokens) > self.max_seq_len: + self._mark_truncated(TruncationReason.USER_TOO_LONG) + initial_tokens = initial_tokens[: self.max_seq_len] + + self.messages = messages.copy() + self._accumulate(initial_tokens, is_response=False) + + def _tokenize_delta(self, message: dict, role: str) -> list[int]: + """Tokenize single message using anchor conversation.""" + if role == "assistant": + temp = [self.anchor[0], {"role": "user", "content": ""}, message] + offset = self.anchor_len + else: # user + temp = [self.anchor[0], message] + offset = self.system_len + + with self._tokenizer_lock: + full = self.tokenizer.apply_chat_template( + temp, add_generation_prompt=False, tokenize=True + ) + return full[offset:] + + def _truncate_to_fit( + self, tokens: list[int], available: int, reason: TruncationReason + ) -> list[int]: + """ + Truncate tokens to fit available space. Marks truncation if needed. + Returns truncated tokens. + """ + if len(tokens) > available: + self._mark_truncated(reason) + return tokens[: max(0, available)] + return tokens + + def _accumulate( + self, tokens: list[int], is_response: bool, logprobs: list[float] | None = None + ): + """Add tokens to accumulator.""" + self.accumulated_tokens.extend(tokens) + self.response_mask.extend([int(is_response)] * len(tokens)) + self.logprobs.extend(logprobs or [0.0] * len(tokens)) + + def _mark_truncated(self, reason: TruncationReason) -> bool: + """Mark episode as truncated and return False.""" + self.is_truncated = True + self.truncation_reason = reason + return False + + def _check_structure(self): + """Verify basic structural invariants.""" + assert ( + len(self.accumulated_tokens) + == len(self.response_mask) + == len(self.logprobs) + ) + + if len(self.accumulated_tokens) > self.max_seq_len: + raise ValueError( + f"Budget overflow: {len(self.accumulated_tokens)} > {self.max_seq_len}" + ) + + def _check_ground_truth(self): + """ + Compare with ground truth tokenization. + May fail with chat templates that modify history (e.g., Qwen deletes tokens from older messages. This would cause a disparate between accumulated tokens and tokenized messages, since we accumulated the tokens with the tokens). + """ + ground_truth = self.tokenizer.apply_chat_template( + self.messages, add_generation_prompt=False, tokenize=True + ) + + if len(self.accumulated_tokens) == len(ground_truth): + return + + if self.sanity_check_mode == SanityCheckMode.STRICT: + diff = len(ground_truth) - len(self.accumulated_tokens) + raise ValueError( + f"Token count mismatch: {len(self.accumulated_tokens)} accumulated vs " + f"{len(ground_truth)} ground truth (diff: {diff}). " + f"This happens when chat template modifies history." + ) + + +# ============================================================================ +# BlackjackEnv (from v5) +# ============================================================================ + + +class BlackjackEnv: + """ + Minimal blackjack environment. + + Responsibilities: + - Manage game state via OpenSpielEnv + - Parse actions from text + - Return next observation message + - Compute rewards + + Does NOT: + - Hold message history (rollout loop does this) + - Tokenize (rollout loop does this) + - Track cumulative tokens (rollout loop does this) + """ + + def __init__(self, server_url: str): + self.server_url = server_url + self.client = OpenSpielEnv(base_url=server_url) + self.client._http.trust_env = False + + # Game state + self.turn_count = 0 + self.has_invalid_action = False + + def reset(self) -> str: + """ + Reset game and return initial user message. + + Returns: + Initial observation text (NOT a dict, just the content string) + """ + self.turn_count = 0 + self.has_invalid_action = False + + # Reset game + result = self.client.reset() + + # Build initial observation + return self._format_observation(result.observation) + + def step(self, action_text: str) -> EnvStepResult: + """ + Execute action and return next observation. + + Args: + action_text: The assistant's text response + + Returns: + EnvStepResult with next observation message, reward, done + """ + + # Parse action + action_name = self._parse_action(action_text) + if action_name == "INVALID": + self.has_invalid_action = True + action_name = "STAND" # Fallback + record_metric("game/invalid_action_rate", 1, Reduce.MEAN) + else: + record_metric("game/invalid_action_rate", 0, Reduce.MEAN) + + # Execute in game + action_id = 0 if action_name == "HIT" else 1 + result = self.client.step( + OpenSpielAction(action_id=action_id, game_name="blackjack") + ) + + self.turn_count += 1 + + # Compute reward + if result.done: + reward = self._compute_reward(result.reward) + # Record game outcome metrics + record_metric("game/games_played", 1, Reduce.SUM) + record_metric("game/average_turns", self.turn_count, Reduce.MEAN) + record_metric("game/win_rate", 1 if result.reward > 0 else 0, Reduce.MEAN) + record_metric("game/env_reward", result.reward, Reduce.MEAN) + else: + reward = 0.0 # No intermediate rewards + + # Build next observation (if game continues) + if result.done: + observation = {"role": "user", "content": ""} # Empty, game ended + else: + obs_text = self._format_observation(result.observation) + observation = {"role": "user", "content": obs_text} + + return EnvStepResult( + observation=observation, + reward=reward, + done=result.done, + metadata={ + "turn_count": self.turn_count, + "has_invalid_action": self.has_invalid_action, + "env_reward": result.reward if result.done else 0.0, + }, + ) + + def _format_observation(self, observation) -> str: + """Format game observation into text.""" + player_total = observation.metadata.get("player_total", "?") + dealer_card = observation.metadata.get("dealer_card", "?") + dealer_str = "Ace" if dealer_card == 1 else str(dealer_card) + + return f"Hand: {player_total}, Dealer: {dealer_str}" + + def _parse_action(self, text: str) -> str: + """Parse action from assistant text.""" + text_lower = text.lower().strip() + if text_lower.endswith("hit"): + return "HIT" + elif text_lower.endswith("stand"): + return "STAND" + else: + return "INVALID" + + def _compute_reward(self, env_reward: float) -> float: + """Compute final reward.""" + if env_reward > 0: # Win + return 3.0 + else: # Loss or push + return -1.0 + + def close(self): + """Clean up.""" + self.client.close() + + +# ============================================================================ +# Rollout Functions (from v5) +# ============================================================================ + + +async def do_single_rollout( + env: BlackjackEnv, + policy, + tokenizer, + max_seq_len: int, + max_turns: int, + messages: list[dict], + game_id: str | None = None, +) -> Episode: + """ + Play one game and return one Episode. + + Uses TokenAccumulator for efficient multi-turn token management with BASE anchor pattern. + + Args: + env: BlackjackEnv instance + policy: Policy for generation + tokenizer: Tokenizer with apply_chat_template + max_seq_len: Maximum tokens for full conversation + max_turns: Maximum game turns + messages: Initial messages (e.g., [{"role": "system", "content": "..."}]) + game_id: Optional game ID + + Returns: + Episode with accumulated tokens, masks, and logprobs + """ + + if game_id is None: + game_id = str(uuid.uuid4()) + + # Initialize TokenAccumulator with BASE anchor pattern + accumulator = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_seq_len=max_seq_len, + eos_token_id=tokenizer.eos_token_id, + sanity_check_mode=SanityCheckMode.DISABLE, # Disable in production for speed + ) + + try: + # ============ Reset environment ============ + initial_obs = env.reset() + accumulator.add_user_message(initial_obs) + + # ============ Multi-turn loop ============ + final_reward = 0.0 + turn_num = 0 + game_done = False + generator_version = 0 + + while not game_done and turn_num < max_turns: + print(f"\n[do_single_rollout] Turn {turn_num}") + + # Check budget + remaining = accumulator.get_remaining_budget() + print(f" Remaining budget: {remaining}") + print(f" Current tokens: {len(accumulator.accumulated_tokens)}") + print(f" Max seq len: {max_seq_len}") + + if remaining <= 0: + print(f" ❌ No budget left, breaking") + break + # Format prompt + prompt = accumulator.format_prompt() + + # ============ Generate ============ + # Create sampling params with remaining budget to prevent exceeding max_seq_len + print(f" Calling vLLM with max_tokens={remaining}") + sampling_params = SamplingParams(max_tokens=remaining) + responses = await policy.generate.route( + prompt, sampling_params=sampling_params + ) + response = responses[0] + print(f" vLLM returned {len(response.token_ids)} tokens") + print(f" [DEBUG] About to get generator_version") + + generator_version = ( + response.generator_version + if hasattr(response, "generator_version") + else 0 + ) + print(f" [DEBUG] Got generator_version: {generator_version}") + + # Extract logprobs from response + print(f" [DEBUG] About to extract logprobs") + response_logprobs = ( + response.logprobs if hasattr(response, "logprobs") else None + ) + print(f" [DEBUG] Got logprobs: {response_logprobs is not None}") + + # ============ Add assistant response ============ + print(f" [DEBUG] About to access response.text") + response_text = response.text + print(f" [DEBUG] Got response.text, length: {len(response_text)}") + print(f" [DEBUG] About to access response.token_ids as list") + response_token_ids_list = list(response.token_ids) # Explicitly convert to list + print(f" [DEBUG] Got response.token_ids, length: {len(response_token_ids_list)}") + + print(f" [DEBUG] About to call add_assistant_response") + success = accumulator.add_assistant_response( + response_text=response_text, + response_token_ids=response_token_ids_list, + response_logprobs=response_logprobs, + ) + + # If generation truncated, break + if not success: + print(f" ❌ Generation failed, breaking") + break + + # ============ Step environment ============ + result = env.step(action_text=response.text) + final_reward = result.reward + game_done = result.done + turn_num += 1 + + # ============ Add environment observation ============ + if not result.done: + obs_text = result.observation["content"] + success = accumulator.add_user_message(obs_text) + + # If env obs would exceed budget, break + if not success: + break + + # Check if hit max_turns - just for metadata, accumulator tracks token truncation + hit_max_turns = turn_num >= max_turns and not game_done + + # Optional: Validate token accumulation (useful in dev/staging) + # accumulator.finalize() + + # Record metrics once at the end + if accumulator.truncation_reason: + record_metric( + f"episode/truncated_{accumulator.truncation_reason.value}", + 1, + Reduce.SUM, + ) + record_metric( + "episode/total_tokens", len(accumulator.accumulated_tokens), Reduce.MEAN + ) + record_metric("episode/turns", turn_num, Reduce.MEAN) + + # ============ Create episode ============ + print(f"\n[do_single_rollout] Creating episode {game_id}") + print(f" Final tokens: {len(accumulator.accumulated_tokens)}") + print(f" Final mask: {len(accumulator.response_mask)}") + print(f" Final logprobs: {len(accumulator.logprobs)}") + print(f" Is truncated: {accumulator.is_truncated}") + print( + f" Truncation reason: {accumulator.truncation_reason.value if accumulator.truncation_reason else None}" + ) + print(f" Hit max turns: {hit_max_turns}") + print(f" Max seq len: {max_seq_len}") + + if len(accumulator.accumulated_tokens) > max_seq_len: + print( + f" ❌❌❌ EPISODE EXCEEDS max_seq_len by {len(accumulator.accumulated_tokens) - max_seq_len} tokens!" + ) + + return Episode( + episode_id=game_id, + task_name="blackjack", + generator_version=generator_version, + is_truncated=accumulator.is_truncated, + all_token_ids=torch.tensor( + accumulator.accumulated_tokens, dtype=torch.long + ), + logprobs=torch.tensor(accumulator.logprobs, dtype=torch.float), + response_mask=torch.tensor(accumulator.response_mask, dtype=torch.float), + reward=final_reward, + message_log=accumulator.messages.copy(), + metadata={ + "truncation_reason": ( + accumulator.truncation_reason.value + if accumulator.truncation_reason + else None + ), + "hit_max_turns": hit_max_turns, + "num_turns": turn_num, + **(result.metadata if "result" in locals() else {}), + }, + ) + + finally: + env.close() + + +async def do_group_rollout( + envs: list[BlackjackEnv], + policy, + tokenizer, + max_seq_len: int, + max_turns: int, + messages: list[dict], +) -> list[Episode]: + """ + Rollout multiple games in parallel. + + Args: + envs: List of N BlackjackEnv instances + policy: Policy for generation + tokenizer: Tokenizer for chat template + max_seq_len: Episode-level token budget + max_turns: Max turns per game + messages: Initial messages for all games (e.g., [{"role": "system", ...}]) + + Returns: + List of N Episodes + """ + tasks = [ + do_single_rollout( + env=envs[i], + policy=policy, + tokenizer=tokenizer, + max_seq_len=max_seq_len, + max_turns=max_turns, + messages=messages, + game_id=f"game_{i}_{uuid.uuid4().hex[:8]}", + ) + for i in range(len(envs)) + ] + + episodes = await asyncio.gather(*tasks) + return list(episodes) + + +# ============================================================================ +# Helper Actors (from main.py) +# ============================================================================ + + +@dataclass +class ComputeAdvantages(ForgeActor): + """Compute advantages for a group of episodes.""" + + @endpoint + async def compute(self, group: list[Episode]) -> list[float]: + """Compute advantages using reward standardization.""" + rewards = torch.tensor([[e.reward for e in group]]) + mean = rewards.mean(1, keepdim=True) + std = rewards.std(1, keepdim=True) + advantages = (rewards - mean) / (std + 1e-4) + return advantages.squeeze(0).tolist() + + +@dataclass +class EnvironmentActor(ForgeActor): + """Actor that manages tokenizer access.""" + + model: str = "Qwen/Qwen3-1.7B" + + @endpoint + def setup(self): + self._tokenizer = get_tokenizer(self.model) + print(f"EnvironmentActor initialized (model: {self.model})") + + @endpoint + async def get_tokenizer(self): + return self._tokenizer + + @endpoint + async def pad_token(self): + # Use pad_token_id if available, otherwise use eos_token_id + if self._tokenizer.pad_token_id is not None: + return self._tokenizer.pad_token_id + else: + return self._tokenizer.eos_token_id + + +# ============================================================================ +# Training Functions (from main.py) +# ============================================================================ + + +def collate( + batches: list[list[Episode]], +) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: + """ + Collates a list of batches (groups) into inputs and targets. + + Args: + batches: List of groups, where each group is a list of Episodes + + Returns: + (inputs, targets) for training + """ + inputs = [] + targets = [] + + for batch in batches: + # Find max sequence length in this batch + max_len = max(len(e.all_token_ids) for e in batch) + + # Get pad_id from tokenizer (we'll use 0 as default) + # In practice, this should come from the tokenizer + pad_id = 0 + + # Stack all tokens with padding + all_tokens = [] + response_masks = [] + ref_logprobs_list = [] + advantages_list = [] + + for e in batch: + seq_len = len(e.all_token_ids) + pad_len = max_len - seq_len + + # Pad tokens (right padding) + padded_tokens = F.pad(e.all_token_ids, (0, pad_len), value=pad_id) + all_tokens.append(padded_tokens) + + # Pad response mask (right padding with 0) + padded_mask = F.pad(e.response_mask, (0, pad_len), value=0) + response_masks.append(padded_mask) + + # Pad ref_logprobs (right padding with 0) + padded_ref_logprobs = F.pad(e.ref_logprobs, (0, pad_len), value=0.0) + ref_logprobs_list.append(padded_ref_logprobs) + + # Advantage is scalar + advantages_list.append(e.advantage) + + # Stack everything + all_tokens_tensor = torch.stack(all_tokens) # [b, max_len] + response_mask = torch.stack(response_masks) # [b, max_len] + ref_logprobs = torch.stack(ref_logprobs_list) # [b, max_len] + advantages = torch.tensor(advantages_list).unsqueeze(-1) # [b, 1] + + # Input is all tokens + input = {"tokens": all_tokens_tensor} + + # Target includes response tokens (all tokens), ref_logprobs, advantages, and mask + target = { + "response": all_tokens_tensor, # Use all tokens as response + "ref_logprobs": ref_logprobs, + "advantages": advantages, + "padding_mask": response_mask, + } + + inputs.append(input) + targets.append(target) + + return inputs, targets + + +def simple_grpo_loss( + logits: torch.Tensor, + response: torch.Tensor, + ref_logprobs: torch.Tensor, + advantages: torch.Tensor, + padding_mask: torch.Tensor, + beta: float = 0.1, +) -> torch.Tensor: + """ + Simple GRPO loss function. + + Args: + logits: Model logits [b, s, v] + response: Response tokens [b, s] + ref_logprobs: Reference model logprobs [b, s] + advantages: Advantages [b, 1] + padding_mask: Mask for valid tokens [b, s] + beta: KL penalty coefficient + + Returns: + Loss scalar + """ + logprobs: torch.Tensor = compute_logprobs(logits, response) + kl = torch.exp(ref_logprobs - logprobs) - (ref_logprobs - logprobs) - 1 + per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages + per_token_loss = -(per_token_policy_loss - beta * kl) + loss = ( + (per_token_loss * padding_mask).sum(dim=1) + / (padding_mask.sum(dim=1).clamp(min=1.0)) + ).mean() + return loss + + +async def drop_weights(version: int): + """Drop old weights from torchstore.""" + print(f"Dropping weights @ version {version}") + start_time = time.perf_counter() + prefix = get_param_prefix(version) + matching_keys = await ts.keys(prefix) + dcp_key = get_dcp_whole_state_dict_key(version) + if dcp_key in matching_keys: + dcp_handle = await ts.get(dcp_key) + dcp_handle.drop() + for key in matching_keys: + await ts.delete(key) + elapsed = time.perf_counter() - start_time + print(f"Dropped weights @ version {version}, took {elapsed:.2f} seconds") + + +# ============================================================================ +# Main Training Loop +# ============================================================================ + + +async def main(cfg: DictConfig): + """Main GRPO training loop with rollout and training processes.""" + + # ---- Start OpenSpiel Server ---- # + game_name = cfg.blackjack_env.game_name + server_port = cfg.blackjack_env.server_port + + # Clean up any existing server on this port + if kill_process_on_port(server_port): + print(f"Cleaned up existing server on port {server_port}") + + print(f"Starting OpenSpiel server for game '{game_name}' on port {server_port}...") + server_process = multiprocessing.Process( + target=start_openspiel_server, args=(game_name, server_port) + ) + server_process.start() + + # Wait for server to be ready + print("Waiting for OpenSpiel server to be ready...") + server_ready = False + for i in range(30): # Try for 30 seconds + if not server_process.is_alive(): + print(f"[ERROR] Server process died unexpectedly!") + print(f"[ERROR] Exit code: {server_process.exitcode}") + raise RuntimeError( + f"OpenSpiel server process crashed during startup (exit code: {server_process.exitcode})" + ) + + try: + resp = requests.get( + f"http://localhost:{server_port}/health", + timeout=1, + proxies={"http": None, "https": None}, + ) + print(f"[DEBUG] Health check attempt {i+1}: status={resp.status_code}") + if resp.status_code == 200: + server_ready = True + print(f"✓ OpenSpiel server ready (took {i+1}s)") + break + except Exception as e: + print(f"[DEBUG] Health check attempt {i+1} failed: {type(e).__name__}: {e}") + time.sleep(1) + + if not server_ready: + server_process.terminate() + raise RuntimeError(f"OpenSpiel server never became ready on port {server_port}") + + # ---- Global setups ---- # + provisioner = None + if cfg.get("provisioner", None) is not None: + provisioner = await init_provisioner( + ProvisionerConfig(launcher_config=LauncherConfig(**cfg.provisioner)) + ) + else: + provisioner = await init_provisioner() + + metric_logging_cfg = cfg.metric_logging + mlogger = await get_or_create_metric_logger(process_name="Controller") + await mlogger.init_backends.call_one(metric_logging_cfg) + + # ---- Setup services ---- # + env_actor_config = { + "model": cfg.blackjack_env.model, + } + + ( + env_actor, + policy, + trainer, + replay_buffer, + compute_advantages, + ref_model, + ) = await asyncio.gather( + EnvironmentActor.options(**cfg.actors.blackjack_env).as_actor( + **env_actor_config + ), + Generator.options(**cfg.services.policy).as_service(**cfg.policy), + TitanTrainer.options(**cfg.actors.trainer).as_actor( + **cfg.trainer, loss=simple_grpo_loss + ), + ReplayBuffer.options(**cfg.actors.replay_buffer).as_actor( + **cfg.replay_buffer, collate=collate + ), + ComputeAdvantages.options(**cfg.actors.compute_advantages).as_actor(), + ReferenceModel.options(**cfg.services.ref_model).as_service(**cfg.ref_model), + ) + + max_steps = cfg.trainer.training.steps or -1 + + print("All services initialized successfully!") + shutdown_event = asyncio.Event() + + # Initialize torchstore + trainer_num_procs = cfg.actors.trainer["procs"] + trainer_host_mesh_name = cfg.actors.trainer["mesh_name"] + trainer_hosts = provisioner.get_host_mesh(trainer_host_mesh_name) + await ts.initialize( + mesh=trainer_hosts.spawn_procs(per_host={"procs": trainer_num_procs}), + strategy=ts.LocalRankStrategy(), + ) + print("Torchstore successfully initialized with local rank strategy") + + # ---- Warmup policy ---- # + print("Warming up policy with test generation...") + test_prompt = "Test prompt to warm up the model." + try: + test_response = await asyncio.wait_for( + policy.generate.route(test_prompt), timeout=120.0 + ) + print(f"✓ Policy ready, test response: '{test_response[0].text[:50]}...'") + except asyncio.TimeoutError: + raise RuntimeError("Policy warmup timed out after 120s") + except Exception as e: + raise RuntimeError(f"Policy warmup failed: {e}") + + # ---- Test OpenSpiel server ---- # + print("Testing OpenSpiel server connection...") + test_env = OpenSpielEnv(base_url=cfg.blackjack_env.server_url) + test_env._http.trust_env = False + try: + print( + f"[DEBUG] Test env base_url={test_env._base}, timeout={test_env._timeout}" + ) + print(f"[DEBUG] Test env trust_env={test_env._http.trust_env}") + print(f"[DEBUG] Calling test_env.reset()...") + test_result = test_env.reset() + print( + f"✓ OpenSpiel server test successful, legal_actions={test_result.observation.legal_actions}" + ) + test_env.close() + except Exception as e: + print(f"[ERROR] OpenSpiel server test failed: {type(e).__name__}: {e}") + import traceback + + traceback.print_exc() + raise RuntimeError(f"OpenSpiel server test failed: {e}") + + # ---- Core RL loops ---- # + async def continuous_rollouts(): + """Main GRPO rollout loop using new architecture.""" + rollout_count = 0 + pad_id = await env_actor.pad_token.call_one() + tokenizer = await env_actor.get_tokenizer.call_one() + + # Config + server_url = cfg.blackjack_env.server_url + max_seq_len = cfg.blackjack_env.max_seq_len + max_turns = cfg.blackjack_env.max_turns + group_size = cfg.group_size + + # Initial messages + initial_messages = [ + { + "role": "system", + "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'. You must think briefly. Do not think for long.", + } + ] + + while not shutdown_event.is_set(): + t = Tracer("main_perf/continuous_rollouts") + t.start() + + # ============ Step 1: Create environments ============ + envs = [BlackjackEnv(server_url=server_url) for _ in range(group_size)] + + # ============ Step 2: Rollout group ============ + episodes = await do_group_rollout( + envs=envs, + policy=policy, + tokenizer=tokenizer, + max_seq_len=max_seq_len, + max_turns=max_turns, + messages=initial_messages, + ) + + t.step("play_games") + + # ============ Step 3: Filter groups (constant rewards) ============ + rewards = [e.reward for e in episodes] + if len(set(rewards)) == 1: + record_metric("groups/rate_dropped", 1, Reduce.MEAN) + rollout_count += 1 + t.stop() + continue + record_metric("groups/rate_dropped", 0, Reduce.MEAN) + + # ============ Step 4: Compute ref_model ============ + print(f"\n[continuous_rollouts] Preparing ref_model input") + max_len = max(len(e.all_token_ids) for e in episodes) + print(f" Max episode length: {max_len}") + print(f" Max seq len config: {max_seq_len}") + + for i, e in enumerate(episodes): + print( + f" Episode {i}: tokens={len(e.all_token_ids)}, truncated={e.is_truncated}" + ) + if len(e.all_token_ids) > max_seq_len: + print( + f" ❌ Episode {i} EXCEEDS max_seq_len by {len(e.all_token_ids) - max_seq_len}!" + ) + + padded_tokens = [ + F.pad( + e.all_token_ids, (0, max_len - len(e.all_token_ids)), value=pad_id + ) + for e in episodes + ] + input_ids = torch.stack(padded_tokens) + + print(f" input_ids shape: {input_ids.shape}") + print(f" Calling ref_model with max_req_tokens=0") + + if input_ids.shape[1] > max_seq_len: + print( + f" ❌❌❌ input_ids seq_len={input_ids.shape[1]} EXCEEDS max_seq_len={max_seq_len}!" + ) + print(f" This will cause RoPE assertion error in the model!") + + ref_logprobs_padded = await ref_model.forward.route( + input_ids, 0, return_logprobs=True + ) + t.step("reference_model_calculate_logprobs") + + for i, episode in enumerate(episodes): + seq_len = len(episode.all_token_ids) + episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] + + del ref_logprobs_padded, input_ids + + # ============ Step 5: Compute advantages ============ + advantages = await compute_advantages.compute.call_one(episodes) + for episode, advantage in zip(episodes, advantages): + episode.advantage = advantage + + # ============ Step 6: Episode-level acceptance ============ + accepted = [] + for episode in episodes: + if episode.is_truncated and not cfg.accept_truncated: + record_metric("buffer/rate_rejected_truncated", 1, Reduce.MEAN) + else: + record_metric("buffer/rate_rejected_truncated", 0, Reduce.MEAN) + accepted.append(episode) + + # ============ Step 7: Add to buffer ============ + for episode in accepted: + await replay_buffer.add.call_one(episode) + + record_metric("buffer/episodes_accepted", len(accepted), Reduce.SUM) + record_metric("buffer/episodes_generated", len(episodes), Reduce.SUM) + record_metric( + "buffer/acceptance_rate", + len(accepted) / len(episodes) if episodes else 0, + Reduce.MEAN, + ) + + rollout_count += 1 + record_metric( + "main/continuous_rollouts/count_rollout_iterations", 1, Reduce.SUM + ) + t.stop() + + async def continuous_training(): + """Training loop.""" + training_step = 0 + restart_tracer = True + + while max_steps == -1 or training_step < max_steps: + if restart_tracer: + t = Tracer("main_perf/continuous_training") + t.start() + restart_tracer = False + + batch = await replay_buffer.sample.call_one( + curr_policy_version=training_step + ) + if batch is None: + await asyncio.sleep(0.1) + else: + t.step("waiting_for_buffer") + + inputs, targets = batch + await trainer.train_step.call(inputs, targets) + training_step += 1 + t.step("train_step") + + await trainer.push_weights.call(training_step) + t.step("push_weights") + + await policy.update_weights.fanout(training_step) + t.step("update_weights") + + if training_step >= 2: + await drop_weights(training_step - 1) + t.step("drop_weights") + + t.stop() + restart_tracer = True + + # Flush metrics every training step + await mlogger.flush.call_one(training_step) + + print( + f"Reached training limit ({max_steps} steps). Exiting continuous_training loop." + ) + + num_rollout_threads = cfg.rollout_threads + print(f"Starting GRPO with {num_rollout_threads} rollout threads") + rollout_tasks = [ + asyncio.create_task(continuous_rollouts()) for _ in range(num_rollout_threads) + ] + training_task = asyncio.create_task(continuous_training()) + + try: + await training_task + except KeyboardInterrupt: + print("Training interrupted by user") + finally: + print("Shutting down... (this may take a few seconds)") + shutdown_event.set() + + # Cancel rollout tasks + try: + await asyncio.wait_for( + asyncio.gather(*rollout_tasks, return_exceptions=True), + timeout=5, + ) + except asyncio.TimeoutError: + print("Timeout waiting for rollouts; forcing cancellation...") + for t in rollout_tasks: + t.cancel() + await asyncio.gather(*rollout_tasks, return_exceptions=True) + + # Cancel training task + training_task.cancel() + try: + await asyncio.wait_for(training_task, timeout=2) + except (asyncio.CancelledError, asyncio.TimeoutError): + pass + + # Shutdown forge actors/services + print("Shutting down Forge actors...") + try: + await asyncio.wait_for(shutdown(), timeout=10) + print("✓ Forge actors shut down") + except asyncio.TimeoutError: + print("⚠ Forge shutdown timed out after 10s, forcing exit...") + + # Shutdown OpenSpiel server + print("Stopping OpenSpiel server...") + server_process.terminate() + server_process.join(timeout=2) + if server_process.is_alive(): + print("⚠ Server didn't stop gracefully, killing...") + server_process.kill() + server_process.join(timeout=1) + print("✓ OpenSpiel server stopped") + + +if __name__ == "__main__": + + @parse + def _main(cfg): + asyncio.run(main(cfg)) + + _main() # @parse grabs the cfg from CLI diff --git a/apps/blackjack/qwen3_1_7b.yaml b/apps/blackjack/qwen3_1_7b.yaml index 371f38b39..d652e4164 100644 --- a/apps/blackjack/qwen3_1_7b.yaml +++ b/apps/blackjack/qwen3_1_7b.yaml @@ -6,10 +6,10 @@ # Global configuration group_size: 4 # Number of parallel games per rollout local_batch_size: 8 # Per-device batch size -max_req_tokens: 512 # Max tokens for prompt (BlackJack prompts are ~200-300 tokens) -max_res_tokens: 512 # Max tokens for response (thinking + action) +max_seq_len: 2048 # Maximum tokens for full conversation (including all turns) model: "Qwen/Qwen3-1.7B" off_by_n: 1 # Off-policy tolerance +accept_truncated: true # Accept truncated episodes in replay buffer # Main loop configuration rollout_threads: 1 # Number of parallel rollout threads @@ -29,6 +29,8 @@ blackjack_env: server_url: "http://localhost:9000" server_port: 9000 model: ${model} + max_seq_len: ${max_seq_len} # Maximum tokens for full conversation (including all turns) + max_turns: 10 # Maximum number of turns per game # Policy configuration policy: @@ -39,7 +41,7 @@ policy: enforce_eager: false sampling_params: # https://docs.vllm.ai/en/v0.10.0/api/vllm/sampling_params.html#vllm.sampling_params.SamplingParams n: 1 # Generate 1 response per game state (not group_size, since we play full games) - max_tokens: ${max_res_tokens} + max_tokens: ${max_seq_len} # changed dinamically on generate call temperature: 1.0 top_p: 1.0 @@ -57,7 +59,7 @@ trainer: warmup_steps: 1 training: local_batch_size: ${local_batch_size} - seq_len: 1024 # Shorter than GSM8K since BlackJack episodes are shorter + seq_len: ${max_seq_len} max_norm: 1.0 steps: 1000 # Tutorial: 1000 steps (increase for production) dtype: bfloat16 diff --git a/brainstorming_forge_tau/3_truncation_v1.md b/brainstorming_forge_tau/3_truncation_v1.md new file mode 100644 index 000000000..7b693bbf2 --- /dev/null +++ b/brainstorming_forge_tau/3_truncation_v1.md @@ -0,0 +1,1461 @@ +# Max Seq Len and Truncation Strategies Across Frameworks + +## Key Findings: How Different Frameworks Handle max_seq_len and Truncation + +### 1. TRL (Example: catch.py, wordle.py) - Token Concatenation Pattern + +**File:** `4_examples_APIs.md:3062-3070` + +```python +# EACH TURN adds to the same lists +episode_prompt_ids.extend(result["prompt_ids"][0]) +episode_completion_ids.extend(result["completion_ids"][0]) +episode_logprobs.extend(result["logprobs"][0]) +``` + +**Key points:** +- Concatenates all turns into ONE sequence +- max_seq_len applies to ENTIRE episode (not per turn) +- Truncation happens at EPISODE level (if total tokens > max_seq_len) +- No explicit truncation handling shown in examples +- Risk: Long episodes could exceed model's context window + +--- + +### 2. VERL - Explicit Max Length Tracking + +**File:** `4_examples_APIs.md:1226-1228` + +```python +# Check termination conditions +if not ignore_termination and len(agent_data.response_mask) >= self.response_length: + return AgentState.TERMINATED +``` + +**Key points:** +- Tracks cumulative response length across turns: `len(agent_data.response_mask)` +- Terminates episode when hitting `max_seq_len` +- `response_length` is the max allowed tokens for ENTIRE episode +- Prevents exceeding model limits by early termination + +**Tool result truncation:** +```yaml +multi_turn: + max_tool_response_length: 2048 + tool_response_truncate_side: "left" # or "right" or "middle" +``` + +```python +# File: verl/experimental/agent_loop/tool_agent_loop.py:1360-1367 +if len(tool_response_text) > self.max_tool_response_length: + if self.tool_response_truncate_side == "left": + tool_response_text = tool_response_text[:max_len] + "...(truncated)" + elif self.tool_response_truncate_side == "right": + tool_response_text = "(truncated)..." + tool_response_text[-max_len:] + else: # middle + half = max_len // 2 + tool_response_text = tool_response_text[:half] + "...(truncated)..." + tool_response_text[-half:] +``` + +--- + +### 3. NeMo-RL - Dynamic Tool Result Truncation + +**File:** `RL/nemo_rl/experience/rollouts.py:721-726` + +```python +# Check for sequence length overflow +if input_lengths + gen_token_count + len(tokenized_obs) >= max_seq_len: + # Truncate environment observation to fit budget + max_env_tokens = max_seq_len - input_lengths - gen_token_count + if max_env_tokens > 0: + tokenized_obs = tokenized_obs[:max_env_tokens] + else: + tokenized_obs = torch.tensor([], dtype=torch.int64) +``` + +**Key points:** +- max_seq_len applies to full episode (all turns concatenated) +- max_rollout_turns limits number of turns (orthogonal to seq_len) +- Dynamic tool/env truncation: Truncates tool results to fit remaining budget +- Truncation strategy: Left-truncation (keeps most recent tokens) + +--- + +### 4. Verifiers/PRIME-RL - Multi-Turn with Max Turns Limit + +**File:** `4_examples_APIs.md:2660` + +```python +class ToolEnv(MultiTurnEnv): + def __init__(self, tools: list[Callable], max_turns: int = 10, **kwargs): +``` + +**Key points:** +- `max_turns` limits number of interactions (not token count!) +- No explicit `max_seq_len` - episodes end when: + 1. Assistant responds without tool calls + 2. Max turns reached + 3. Task completed +- Tool responses can be truncated: + +```python +# File: 4_examples_APIs.md:1358-1368 +if tool_response_text and len(tool_response_text) > self.max_tool_response_length: + if self.tool_response_truncate_side == "left": + tool_response_text = tool_response_text[:self.max_tool_response_length] + "...(truncated)" + elif self.tool_response_truncate_side == "right": + tool_response_text = "(truncated)..." + tool_response_text[-self.max_tool_response_length:] +``` + +--- + +### 5. Tinker-Cookbook - All-or-Nothing Termination + +**UPDATED WITH ACTUAL CODE ANALYSIS** + +#### How Prompts are Built + +**File:** `tinker-cookbook/tinker_cookbook/renderers.py` (Qwen3Renderer example) + +```python +def build_generation_prompt( + self, messages: list[Message], role: Role = "assistant", prefill: str | None = None +) -> tinker.ModelInput: + """Build prompt for generation from message history.""" + tokens: list[int] = [] # No BOS token for Qwen + for idx, message in enumerate(messages): + ob_part, action_part, _ = self._render_message(idx, message) + tokens.extend(ob_part) # Add observation part + tokens.extend(action_part) # Add action part + # Add generation prompt + new_partial_message = Message(role=role, content="") + ob_part, _, _ = self._render_message(len(messages), new_partial_message) + tokens.extend(ob_part) + tokens.extend(self.tokenizer.encode(prefill or "", add_special_tokens=False)) + return tinker.ModelInput.from_ints(tokens) +``` + +**Key insight:** NO `apply_chat_template` - They manually build prompts by iterating messages! + +#### How max_tokens is Enforced + +**File:** `tinker-cookbook/tinker_cookbook/completers.py:50-74` + +```python +@dataclass +class TinkerTokenCompleter(TokenCompleter): + sampling_client: tinker.SamplingClient + max_tokens: int + + async def __call__( + self, model_input: tinker.ModelInput, stop: StopCondition + ) -> TokensWithLogprobs: + """Sample an action from the policy given an observation.""" + sample_result = await self.sampling_client.sample_async( + prompt=model_input, + num_samples=1, + sampling_params=tinker.SamplingParams(stop=stop, max_tokens=self.max_tokens), + ) +``` + +**Key points:** +- `max_tokens` is at completer level (not environment level) +- Passed to `SamplingParams(max_tokens=self.max_tokens)` +- Limits only generation length per turn, NOT prompt length +- No enforcement of total sequence length + +#### Multi-Turn Truncation Strategy + +**File:** `tinker-cookbook/tinker_cookbook/recipes/tool_use/search/search_env.py:185-191` + +```python +async def step(self, action: Action) -> StepResult: + message, parse_success = self.renderer.parse_response(action) + self.past_messages.append(message) + + if "tool_calls" in message: + tool_return_message = await self.call_search_tool(message["tool_calls"][0]) + self.past_messages.extend(tool_return_message) + + # Rebuild prompt from FULL history + next_observation = self.renderer.build_generation_prompt(self.past_messages) + + # Check if exceeded max length + if next_observation.length > self.max_trajectory_tokens: + return StepResult( + reward=0.0, + episode_done=True, # TERMINATE with failure + next_observation=tinker.ModelInput.empty(), + ) +``` + +**Constructor:** +```python +class SearchEnv(ProblemEnv): + def __init__(self, ..., max_trajectory_tokens: int = 32 * 1024): + self.past_messages: list[renderers.Message] = [] + self.max_trajectory_tokens = max_trajectory_tokens +``` + +**Key points:** +- Full history maintained in `self.past_messages` +- Prompts rebuilt from scratch each turn with ALL messages +- All-or-nothing: If `next_observation.length > max_trajectory_tokens`, episode terminates with failure +- No tool result truncation - accepts results as-is +- Default: 8K tokens (configurable, code shows 32K max) + +#### What They Track + +**File:** `tinker-cookbook/tinker_cookbook/rl/rollouts.py:48-79` + +```python +rows.append({ + "step": t_idx, + "ob_len": t.ob.length, # Prompt length at this step + "ac_len": len(t.ac.tokens), # Response length + "reward": f"{t.reward:.3f}", +}) +``` + +- Log `ob.length` and `ac_len` per step for diagnostics only +- NOT used for truncation decisions +- Only for metrics reporting + +--- + +### 6. Your Current Plan (PLAN.md) - Detection but No Strategy + +**File:** `PLAN.md:649-663` + +```python +# Check if response was truncated by max_tokens +if response.stop_reason == "length": + # Response was cut off by max_tokens + has_truncated_response = True + # Mark for tracking, but continue game + record_metric("game/truncated_response_rate", 1, Reduce.MEAN) +``` + +**Issues:** +- Detects truncation but doesn't prevent episode from growing too long +- No cumulative token tracking across turns +- Risk: Episode could exceed total `max_seq_len` even if individual turns don't truncate + +--- + +## Summary Table: How Libraries Handle max_seq_len + +| Library | max_seq_len Scope | Truncation Strategy | Tool Result Handling | Prompt Building | +|---------|-------------------|---------------------|----------------------|-----------------| +| **TRL** | Entire episode | None - relies on vLLM max_model_len | No truncation | `apply_chat_template` per turn | +| **VERL** | Entire episode | Early termination + tool truncation | 3 modes: left/right/middle | Manual/SGLang | +| **NeMo-RL** | Entire episode | Dynamic tool truncation to fit budget | Left-truncate to remaining budget | `apply_chat_template` per turn | +| **PRIME-RL/Verifiers** | N/A (uses max_turns) | No episode-level limit | No truncation | `apply_chat_template` with tools | +| **Tinker** | 8K default | All-or-nothing termination | No truncation, episode fails if exceeded | Manual token concat | + +--- + +## Answers to Your Questions + +### Q1: "So we would only have max_seq_len, truncate prompt, and dynamically set limit to generate?" + +**YES, with clarifications:** + +**What "max_seq_len" means:** +- Total token budget for ENTIRE episode (all turns concatenated) +- Includes: all prompts + all responses + all tool results across ALL turns +- Example: `max_seq_len=2048` means episode terminates when cumulative tokens ≥ 2048 + +**Two patterns observed:** + +#### **Option A: Tinker Pattern (Simpler)** +- Build prompt from full message history each turn +- Check if prompt exceeds `max_seq_len` → terminate if so +- Calculate remaining budget and set `max_tokens` dynamically +- NO prompt truncation - always use full history + +#### **Option B: VERL Pattern (More Explicit)** +- Track cumulative tokens in lists: `all_token_ids`, `all_logprobs`, `response_mask` +- Check if adding next prompt would exceed limit → terminate early +- Calculate remaining budget per turn +- Build response masks for training +- More bookkeeping, but safer + +### Q2: "Is this how others do it?" + +**Yes, most libraries use one of these patterns:** + +| Library | Approach | +|---------|----------| +| **Tinker** | Option A - Terminate if exceeds limit | +| **VERL** | Option B - Track cumulative, terminate early | +| **NeMo-RL** | Option B - Dynamic tool truncation | +| **TRL** | No explicit handling (relies on vLLM limits) | +| **Verifiers** | `max_turns` only, no token limit | + +**Recommendation:** Start with Option A for simplicity. Use Option B if you need explicit token tracking for training. + +### Q3: "We would need to truncate prompt?" + +**NO - Don't truncate the prompt (no sliding window).** + +**Why not:** +1. Tinker/VERL rebuild from full history every turn - no truncation +2. Truncating loses context (model can't see previous tool results) +3. Makes training inconsistent + +**What to do instead:** +- Terminate episode early if prompt would exceed `max_seq_len` +- Track cumulative length (Option B) or check prompt length each turn (Option A) +- Adjust `max_turns` to keep episodes within budget +- Tune `max_seq_len` based on task requirements + +**When you SHOULD truncate:** +- **Tool results** (VERL & NeMo-RL do this): + ```python + # Fixed-length truncation + if len(tool_result) > 1024: + tool_result = tool_result[:1024] + "...(truncated)" + + # Dynamic truncation to fit remaining budget + remaining_budget = max_seq_len - (prompt_len + generated_len) + if len(tool_result_tokens) > remaining_budget: + tool_result_tokens = tool_result_tokens[:max(0, remaining_budget)] + ``` + +### Q4: "For policy.generate, max_tokens is not an arg, but now we have sampling_params" + +**CORRECT!** Pass `max_tokens` via `sampling_params` dict: + +```python +# Correct way +response = await policy.generate.route( + prompt_text, + sampling_params={"max_tokens": turn_max_tokens} +) +``` + +**How it works:** The dict is unpacked into vLLM's `SamplingParams`: +```python +# Inside Generator._generate() in forge/actors/generator.py +outputs = await self._engine.generate( + prompts=[prompt_ids], + sampling_params=SamplingParams(**sampling_params), +) +``` + +**Available sampling_params:** +- `max_tokens`, `temperature`, `top_p`, `top_k`, `stop`, etc. (all vLLM SamplingParams) + +## Recommended Strategy for Forge + +### Simple Implementation Pattern + +**Use Option B (explicit tracking) for better control:** + +```python +async def play_game( + game_idx: int, + game_id: str, + server_url: str, + policy: Generator, + tokenizer, + max_seq_len: int = 2048, + max_turns: int = 10, + rollout_count: int = 0, +) -> Episode: + messages = [{"role": "system", "content": "You are a blackjack expert..."}] + + # Track tokens + all_tokens = [] + all_logprobs = [] + response_mask = [] + + env = OpenSpielEnv(base_url=server_url) + result = env.reset() + + for turn in range(max_turns): + if result.done: + break + + # Build prompt from messages + user_message = format_game_state(result.observation) + messages.append({"role": "user", "content": user_message}) + + prompt_text = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=False + ) + + # Tokenize to check length + prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) + + # Check if prompt exceeds budget + if len(all_tokens) + len(prompt_tokens) >= max_seq_len: + record_metric("game/truncated_episode_rate", 1, Reduce.MEAN) + break + + # Calculate budget for response + remaining = max_seq_len - (len(all_tokens) + len(prompt_tokens)) + turn_max_tokens = min(256, remaining) + + # Safety check for negative or very small budgets + if turn_max_tokens <= 0: + break + + # Generate + responses = await policy.generate.route( + [prompt_text], + sampling_params={"max_tokens": turn_max_tokens} + ) + response = responses[0] + + # Accumulate + all_tokens.extend(prompt_tokens) + all_tokens.extend(response.token_ids) + response_mask.extend([0] * len(prompt_tokens)) + response_mask.extend([1] * len(response.token_ids)) + all_logprobs.extend([0.0] * len(prompt_tokens)) + all_logprobs.extend(response.logprobs) + + # Add assistant response + messages.append({"role": "assistant", "content": response.text}) + + # Parse action and step env + action = parse_action(response.text) + result = env.step(OpenSpielAction(action_id=action, game_name="blackjack")) + + # Create episode + episode = Episode( + episode_id=game_id, + all_token_ids=torch.tensor(all_tokens, dtype=torch.long), + logprobs=torch.tensor(all_logprobs, dtype=torch.float), + response_mask=torch.tensor(response_mask, dtype=torch.float), + reward=result.reward, + ... + ) + + return episode +``` + +**Key points:** +- Use `tokenizer.apply_chat_template()` each turn +- Track cumulative tokens +- Dynamically set `max_tokens` via `sampling_params` +- Terminate early if budget exceeded +- No prompt truncation, use full message history + +### For Future Tool Calling + +Same pattern, but add tool results to messages: + +```python +# After generating +if has_tool_call(response.text): + tool_call = parse_tool_call(response.text) + messages.append({ + "role": "assistant", + "content": response.text, + "tool_calls": [tool_call] + }) + + # Execute tool + tool_result = await execute_tool(tool_call) + + # Truncate long tool results (recommended!) + max_tool_len = 1024 + if len(tool_result) > max_tool_len: + tool_result = tool_result[:max_tool_len] + "...(truncated)" + record_metric("tool/truncated_result_rate", 1, Reduce.MEAN) + + messages.append({ + "role": "tool", + "content": tool_result + }) + + # Continue loop - reformats with updated messages +``` + +--- + +## Key Recommendations + +1. Use explicit token tracking (Option B pattern) for better control +2. Set `max_seq_len` conservatively (e.g., 2048 for blackjack, 4096 for tool calling) +3. Always use `tokenizer.apply_chat_template()` in rollout loop +4. Pass `max_tokens` via `sampling_params` dict +5. Track cumulative tokens to prevent exceeding budget +6. Don't truncate prompts - terminate episode instead +7. DO truncate tool results to control their size +8. Log truncation events for debugging + + +# Key Takeaways & Follow-ups + +## Critical Bugs to Address + +### 1. Empty Budget Can Cause Negative max_tokens Error + +**Problem:** +```python +remaining_budget = max_seq_len - (len(all_token_ids) + len(prompt_tokens)) +turn_max_tokens = min(256, remaining_budget) # Can be negative! +``` + +**Fix:** +```python +remaining = max_seq_len - (len(all_tokens) + len(prompt_tokens)) +if remaining <= 0: # Check BEFORE min() + record_metric("episode/terminated_zero_budget", 1, Reduce.MEAN) + break +turn_max_tokens = min(256, remaining) +``` + +### 2. Mid-Tool-Call Truncation Corrupts Training Data + +**Problem:** If `max_tokens` cuts off response mid-tool-call: +``` +{"name": "search", "args": {"query": "Pytho[TRUNCATED] +``` +- Tool call is incomplete → parsing fails +- But `response_mask` still has `[1, 1, 1, ...]` +- We train on corrupted output! + +**Fix:** +```python +if response.stop_reason == "length": + # Detect incomplete tool call + has_tool_start = "" in response.text + has_tool_end = "" in response.text + + if has_tool_start and not has_tool_end: + record_metric("episode/truncated_mid_tool_call", 1, Reduce.MEAN) + break # Terminate episode, don't add to buffer +``` + +### 3. Reference Model Variable Sequence Lengths + +**Current issue:** `max_req_tokens` is fixed, but multi-turn episodes have variable lengths. + +**Fix:** Pass actual sequence length to ref model: +```python +for episode in episodes: + seq_len = len(episode.all_token_ids) + ref_logprobs = await ref_model.forward.route( + episode.all_token_ids.unsqueeze(0), # [1, seq_len] + prompt_len=0, # Use response_mask instead + return_logprobs=True + ) +``` + +--- + +## Important Implementation Details + +### Multiple Tool Calls Count as 1 Turn + +**Both VERL and Verifiers do this:** +- Execute all tool calls in parallel +- Add all tool results to messages at once +- Token budget: `len(assistant_msg) + sum(len(tool_result) for each tool)` + +```python +if response.tool_calls: + # Execute all + tool_results = [await execute_tool(tc) for tc in response.tool_calls] + # Truncate each + tool_results = [tr[:max_len] + "..." if len(tr) > max_len else tr + for tr in tool_results] + # Add all to messages + messages.extend([{"role": "tool", "content": tr} for tr in tool_results]) +``` + +### vLLM Prefix Caching - Must Enable! + +**Critical optimization for multi-turn:** +```yaml +policy: + engine_args: + enable_prefix_caching: true # 2-3x speedup +``` + +**How it works:** Caches KV tensors for shared prompt prefixes across turns +- Turn 1: `[system, user1]` +- Turn 2: `[system, user1, assist1, tool1, user2]` ← first 3 cached +- Turn 3: `[system, user1, assist1, tool1, user2, assist2, tool2, user3]` ← first 7 cached + +--- + +## Required Config Changes + +Add to `apps/blackjack/qwen3_1_7b.yaml`: + +```yaml +blackjack_env: + max_seq_len: 2048 # Total episode token budget + max_turns: 10 # Max turns per episode + max_tool_result_length: 1024 # Truncate tool results + +policy: + engine_args: + enable_prefix_caching: true # Critical for multi-turn + max_model_len: 4096 +``` + +In `main.py`: +```python +max_seq_len = cfg.blackjack_env.get("max_seq_len", 2048) +max_turns = cfg.blackjack_env.get("max_turns", 10) +max_tool_result_length = cfg.blackjack_env.get("max_tool_result_length", 1024) + +# Validation +assert max_seq_len <= cfg.policy.engine_args.max_model_len +``` + +--- + +## Environment-Specific Budgets (Future) + +Different tasks need different budgets: + +| Environment | `max_seq_len` | `max_tool_result_length` | Reason | +|------------|---------------|--------------------------|---------| +| **Blackjack** | 2048 | 0 (no tools) | Simple game, short episodes | +| **Coding** | 4096 | 1024 | Code output moderate length | +| **WebSearch** | 8192 | 2048 | Search results can be long | + +**Implementation:** Use per-environment config or dynamic budgets per tool type. + +--- + +## Key Metrics to Track + +**For debugging truncation:** + +```python +# Episode-level +record_metric("episode/total_tokens", len(all_tokens), Reduce.MEAN) +record_metric("episode/num_turns", num_turns, Reduce.MEAN) +record_metric("episode/truncation_rate", 1 if truncated else 0, Reduce.MEAN) + +# Turn-level +record_metric("turn/remaining_budget", remaining_budget, Reduce.MEAN) + +# Critical errors +record_metric("episode/truncated_mid_tool_call", 1, Reduce.MEAN) +record_metric("episode/terminated_zero_budget", 1, Reduce.MEAN) +``` + +--- + +## Follow-up Questions + +1. **Training quality:** Should we filter out truncated episodes or down-weight their advantages? +2. **Tool result truncation:** Fixed-length (1024) or dynamic based on remaining budget? +3. **Truncation strategy:** Should we have per-tool budgets (e.g., search=2048, execute=512)? +4. **Episode metadata:** Do we need to track `truncated` flag and `truncation_reason` for debugging? + +--- + +## Main Learnings + +1. **No prompt truncation** - terminate episode instead (Tinker/VERL approach) +2. **Always check remaining budget before `min()`** - avoid negative max_tokens +3. **Detect incomplete tool calls** - don't train on corrupted data +4. **Enable prefix caching** - 2-3x speedup for multi-turn +5. **Truncate tool results** - they grow the prompt quickly +6. **Track cumulative tokens** - prevent exceeding budget mid-episode +7. **Use `sampling_params` dict** - pass `max_tokens` dynamically per turn + +--- + +## Open Questions from User Discussion + +### Q1: When to Call tokenizer.encode()? (Inside or Outside While Loop?) + +**Current recommendation (line 393):** +```python +for turn in range(max_turns): + # Build prompt from messages + prompt_text = tokenizer.apply_chat_template(messages, ...) + + # Tokenize to check length + prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) # INSIDE loop + + if len(all_tokens) + len(prompt_tokens) >= max_seq_len: + break +``` + +**User question:** Should we encode only once at the start (outside while loop) instead? + +**Status:** NEEDS RESEARCH - Check how TRL, VERL, NeMo-RL, Tinker, Verifiers handle this: +- Do they re-encode the full prompt each turn? +- Or do they track message-by-message token counts? +- Performance implications of encoding vs tracking? + +--- + +### Q2: max_tool_result_length - Global vs Tool-Specific? + +**Current recommendation (line 599):** +```yaml +blackjack_env: + max_tool_result_length: 1024 # Global for all tools +``` + +**User question:** What should the signature be for tool-calling? Per-tool limits? Global? Dynamic? + +**Status:** NEEDS RESEARCH - Check how VERL, Verifiers, NeMo-RL configure tool result truncation: +- Is `max_tool_result_length` global or per-tool? +- Do they have different limits for different tool types? +- How do they specify this in configs? +- Example: search results (2048) vs code execution (512)? + +--- + +### Q3: Mid-Tool-Call Truncation - Is It Really a Special Problem? + +**Current recommendation (lines 516-536):** +```python +if response.stop_reason == "length": + # Detect incomplete tool call + has_tool_start = "" in response.text + has_tool_end = "" in response.text + + if has_tool_start and not has_tool_end: + record_metric("episode/truncated_mid_tool_call", 1, Reduce.MEAN) + break # Terminate episode, don't add to buffer +``` + +**User skepticism:** If we're already evicting truncated episodes via `is_truncated` flag, why is mid-tool-call truncation special? + +**Counter-argument:** Mid-tool-call creates invalid JSON → unparseable → corrupt training signal even if we mark episode as truncated. + +**Status:** NEEDS RESEARCH - Check how other libraries handle generation truncation during tool calls: +- Do VERL, Verifiers, NeMo-RL detect incomplete tool calls specifically? +- Or do they just rely on general truncation handling? +- Do they immediately terminate or try to continue? +- Do they filter these episodes from training? + +--- + +### Q4: Multiple Tool Calls + Budget Overflow - What Happens? + +**Current recommendation (lines 557-573):** +```python +if response.tool_calls: + # Execute all + tool_results = [await execute_tool(tc) for tc in response.tool_calls] + # Truncate each + tool_results = [tr[:max_len] + "..." if len(tr) > max_len else tr + for tr in tool_results] + # Add all to messages + messages.extend([{"role": "tool", "content": tr} for tr in tool_results]) +``` + +**Problem scenario:** +- Model makes 3 tool calls in one turn +- Each truncated to `max_tool_result_length=1024` +- Total: 3072 tokens +- But remaining budget: 300 tokens +- What to do? + +**Proposed options:** +1. **Terminate episode** (safest, all-or-nothing) +2. **Fair allocation** (divide remaining budget by num tools) +3. **Keep first N tools that fit** (drop later ones) + +**User preference:** Allow truncated tool output, let user decide eviction policy via config. + +**Status:** NEEDS RESEARCH - Check how VERL, Verifiers, NeMo-RL handle multiple tool calls when total exceeds budget: +- Do they terminate the episode? +- Do they truncate all tool results to fit remaining budget? +- Do they keep only tools that fit? +- Is this configurable? + +--- + +### Q5: Deprecate prompt_len in Reference Model + +**Current Episode class:** +```python +@dataclass +class Episode: + pad_id: int + request_len: int # Fixed length (legacy) + response_len: int # Fixed length (legacy) +``` + +**New Episode class:** +```python +@dataclass +class Episode: + all_token_ids: torch.Tensor # Variable length + response_mask: torch.Tensor # Replaces request_len/response_len +``` + +**User decision:** Clean break, no backward compatibility. Add clear error message if old fields detected. + +**Rationale:** +1. Multi-turn is fundamental change anyway +2. Adding backward compat adds noise (`if prompt_len > 0: ... else: ...`) +3. Only small number of users (easier migration) +4. Maintains single code path + +**Status:** DECIDED - Break at once, no backward compat. + +--- + +## Research Tasks (IN ORDER) + +**Before implementing, we need to research the following libraries to answer the open questions:** + +1. **TRL** (`trl/examples/scripts/openenv/`) +2. **VERL** (`verl/experimental/agent_loop/`) +3. **NeMo-RL** (`RL/nemo_rl/experience/rollouts.py`) +4. **Tinker-Cookbook** (`tinker-cookbook/recipes/tool_use/`) +5. **Verifiers** (`verifiers/envs/`) + +**For each library, investigate:** +- **Q1:** Where do they call tokenizer.encode()? Inside or outside turn loop? +- **Q2:** How do they configure max_tool_result_length? Global or per-tool? +- **Q3:** Do they detect/handle mid-tool-call truncation specially? +- **Q4:** How do they handle multiple tool calls when total exceeds budget? + +**Research output:** Add findings to new section below titled "## Research Findings" + +--- + +## Research Findings + +### Q1 Research: When/Where to Call tokenizer.encode() + +**Finding: Libraries use TWO distinct patterns - re-encode everything vs. incremental tracking** + +#### Pattern A: Re-Encode Full Prompt Each Turn (TRL, Tinker, Verifiers) + +**TRL Catch** (`trl/examples/scripts/openenv/catch.py:177-196`): +```python +while not obs.done: # INSIDE loop + episode_msg = {"prompt": [{"role": "user", "content": f"{base_prompt}\n\n{obs.info_state}\n"}]} + episode_prompt = apply_chat_template(episode_msg, processing_class) + + # vLLM server returns prompt_ids + response = requests.post(gen_url, json=payload) + result = response.json() + + # Accumulate tokens + episode_prompt_ids.extend(result["prompt_ids"][0]) + episode_completion_ids.extend(result["completion_ids"][0]) +``` + +**TRL Wordle** (`trl/examples/scripts/openenv/wordle.py:352-383`): +```python +for _turn in range(cli_args.max_turns): # INSIDE loop + prompt_text = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=False, + ) + + vllm_result = request_vllm_completion(...) + prompt_ids.extend(vllm_result["prompt_ids"]) + completion_ids.extend(vllm_result["completion_ids"]) +``` + +**Tinker** (`tinker-cookbook/tinker_cookbook/renderers.py:189-202`): +```python +def build_generation_prompt(self, messages: list[Message]) -> tinker.ModelInput: + tokens: list[int] = [] + tokens.extend(self._bos_tokens) + for message in messages: # OUTSIDE loop - called once per generation + ob_part, action_part, action_tail = self._render_message(message) + tokens.extend(ob_part) + tokens.extend(action_part) + return tinker.ModelInput.from_ints(tokens) +``` + +**Key insight:** They call `apply_chat_template()` or build prompt from scratch each turn, but the vLLM/generator returns the token IDs, so they don't explicitly call `tokenizer.encode()` themselves. + +#### Pattern B: Incremental Token Tracking (NeMo-RL, VERL) + +**NeMo-RL** (`RL/nemo_rl/experience/rollouts.py:446-477`): +```python +for turn in range(max_rollout_turns): # INSIDE loop + # Only tokenize NEW environment observation + tokenized_obs = tokenizer( + env_obs_content, + return_tensors="pt", + add_special_tokens=False + ).input_ids[0] + + # Check if adding new tokens would overflow + if (len(tokenized_obs) + len(generated_ids[i]) + active_input_lengths[i] >= max_seq_len): + tokens_left_for_obs = max_seq_len - (len(generated_ids[i]) + active_input_lengths[i]) + tokenized_obs = tokenized_obs[:tokens_left_for_obs] # Truncate to fit + truncation_mask[i] = True +``` + +**VERL** (`verl/experimental/agent_loop/tool_agent_loop.py:200-209, 351-358`): +```python +# Initial prompt - OUTSIDE loop +agent_data.prompt_ids = await self.loop.run_in_executor( + None, + lambda: self.tokenizer.apply_chat_template( + agent_data.messages, tools=self.tool_schemas, + add_generation_prompt=True, tokenize=True + ), +) + +# Tool responses - INSIDE loop +response_ids = await self.loop.run_in_executor( + None, + lambda: self.tokenizer.apply_chat_template( + add_messages, add_generation_prompt=True, tokenize=True + ), +) + +# Check budget +if len(agent_data.response_mask) + len(response_ids) >= self.response_length: + return AgentState.TERMINATED +``` + +**Verifiers** (post-processing - `verifiers/utils/processing_utils.py:95-155`): +```python +# Initial prompt - OUTSIDE loop +prompt_ids = processing_class.apply_chat_template( + conversation=prompt, add_generation_prompt=True, tools=oai_tools +) + +# For each turn - uses prefix matching to get delta +while i < len(zipped): + token_prefix = processing_class.apply_chat_template( + conversation=messages_consumed, add_generation_prompt=False, tools=oai_tools + ) + token_prefix_with_turn = processing_class.apply_chat_template( + conversation=messages_consumed + consecutive_messages, + add_generation_prompt=True, tools=oai_tools + ) + # Extract ONLY the new tokens + assert token_prefix_with_turn[:len(token_prefix)] == token_prefix + completion_turn_ids = token_prefix_with_turn[len(token_prefix):] +``` + +#### **Recommendation for Forge:** + +Use Pattern B (incremental) like NeMo-RL/VERL: + +```python +for turn in range(max_turns): + # Build prompt from messages + prompt_text = tokenizer.apply_chat_template(messages, ...) + + # Encode ONLY to check length, not for generation + prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) + + # Check budget BEFORE generating + if len(all_tokens) + len(prompt_tokens) >= max_seq_len: + break + + # Calculate remaining budget + remaining = max_seq_len - (len(all_tokens) + len(prompt_tokens)) + turn_max_tokens = min(256, remaining) + + # Generate (vLLM returns token_ids) + responses = await policy.generate.route([prompt_text], + sampling_params={"max_tokens": turn_max_tokens}) + + # Accumulate tokens from response object + all_tokens.extend(prompt_tokens) + all_tokens.extend(response.token_ids) +``` + +**Why this is best:** +- Explicit budget control before generating +- Only encodes once per turn (not redundant) +- vLLM/Generator handles actual generation +- Clear separation: encode for budget check, generate for response + +--- + +### Q2 Research: max_tool_result_length Configuration + +**Finding: ALL libraries use GLOBAL configuration, NONE support per-tool limits** + +#### VERL: Global with Multiple Truncation Strategies + +**Config:** `verl/verl/trainer/config/rollout/rollout.yaml:165-169` +```yaml +multi_turn: + max_parallel_calls: 1 + max_tool_response_length: 256 # Global for all tools + tool_response_truncate_side: middle # left/middle/right +``` + +**Implementation:** `verl/experimental/agent_loop/tool_agent_loop.py:457-464` +```python +if tool_response_text and len(tool_response_text) > self.max_tool_response_length: + if self.tool_response_truncate_side == "left": + tool_response_text = tool_response_text[:self.max_tool_response_length] + "...(truncated)" + elif self.tool_response_truncate_side == "right": + tool_response_text = "(truncated)..." + tool_response_text[-self.max_tool_response_length:] + else: # middle + length = self.max_tool_response_length // 2 + tool_response_text = tool_response_text[:length] + "...(truncated)..." + tool_response_text[-length:] +``` + +**Key details:** +- Configurable via YAML +- Three truncation strategies +- No per-tool customization +- CHARACTER-based, not token-based + +#### NeMo-RL: Environment-Level Token Budget + +**Implementation:** `RL/nemo_rl/experience/rollouts.py:446-477` +```python +# Truncate environment observation (which includes tool results) +if len(tokenized_obs) + len(generated_ids[i]) + active_input_lengths[i] >= max_seq_len: + tokens_left_for_obs = max_seq_len - (len(generated_ids[i]) + active_input_lengths[i]) + tokenized_obs = tokenized_obs[:tokens_left_for_obs] + truncation_mask[i] = True +``` + +**Key details:** +- TOKEN-based (more accurate) +- Dynamic allocation based on remaining budget +- No explicit max_tool_result_length parameter +- No per-tool customization + +#### Tinker: Trajectory-Level Termination + +**Implementation:** `tinker-cookbook/recipes/tool_use/search/search_env.py:108-117, 186-187` +```python +class SearchEnv(ProblemEnv): + def __init__(self, ..., max_trajectory_tokens: int = 32 * 1024): + self.max_trajectory_tokens = max_trajectory_tokens + + async def step(self, action): + # After adding tool result + next_observation = self.renderer.build_generation_prompt(self.past_messages) + if next_observation.length > self.max_trajectory_tokens: + return failure_result # Terminates episode +``` + +**Key details:** +- TOKEN-based +- No tool-specific limits, only total trajectory +- Terminates rather than truncates +- No per-tool customization + +#### Verifiers: No Tool Result Truncation + +**Implementation:** `verifiers/envs/tool_env.py:54-71` +```python +async def call_tool(self, tool_name: str, tool_args: dict, ...) -> Message: + tool_func = self.tool_map[tool_name] + result = await maybe_await(tool_func, **tool_args) + return { + "role": "tool", + "content": str(result), # No truncation! + "tool_call_id": tool_call_id, + } +``` + +**Key details:** +- No tool result truncation at all +- Relies on sequence-level truncation/masking +- No per-tool customization + +#### **Summary Table** + +| Library | Scope | Unit | Default | Per-Tool? | Config Type | +|---------|-------|------|---------|-----------|-------------| +| **VERL** | Global | Characters | 256 | No | YAML config | +| **NeMo-RL** | Environment observation | Tokens | Dynamic (based on max_seq_len) | No | Function param | +| **Tinker** | Trajectory | Tokens | 32,768 | No | Constructor arg | +| **Verifiers** | None | N/A | N/A | No | N/A | + +#### **Recommendation for Forge:** + +**Phase 1: Global configuration (like VERL)** +```yaml +blackjack_env: + max_tool_result_length: 1024 # Global, token-based +``` + +**Phase 2: Per-tool if needed (NOT currently supported by any library)** +```yaml +tool_configs: + search_pages: + max_result_length: 2048 + execute_code: + max_result_length: 512 +``` + +**Implementation signature:** +```python +async def execute_tool(tool_call: dict, max_tool_len: int = 1024) -> str: + """Execute tool and truncate result to max_tool_len tokens.""" + result = await tools[tool_call["name"]](**tool_call["args"]) + + # Tokenize to check length + result_tokens = tokenizer.encode(str(result), add_special_tokens=False) + + if len(result_tokens) > max_tool_len: + # Truncate and decode back + truncated_tokens = result_tokens[:max_tool_len] + result = tokenizer.decode(truncated_tokens) + "...(truncated)" + record_metric("tool/truncated_result_rate", 1, Reduce.MEAN) + + return result +``` + +**Why token-based over character-based:** +- More accurate for budget tracking +- Consistent with max_seq_len +- What actually matters for model context + +--- + +### Q3 Research: Mid-Tool-Call Truncation Detection + +**Finding: NO library properly detects mid-tool-call truncation when stop_reason == "length"** + +#### VERL Agent Loop: Silent Failure + +**Implementation:** `verl/experimental/agent_loop/tool_agent_loop.py:212-258` +```python +async def _handle_generating_state(self, agent_data, sampling_params): + output = await self.server_manager.generate(...) + + agent_data.response_ids = output.token_ids + + # No finish_reason check here! + if len(agent_data.response_mask) >= self.response_length: + return AgentState.TERMINATED + + # Attempts to extract tool calls - fails silently on incomplete + _, agent_data.tool_calls = await self.tool_parser.extract_tool_calls(agent_data.response_ids) + + if agent_data.tool_calls: + return AgentState.PROCESSING_TOOLS +``` + +**Tool Parser** (`tool_parser.py:82-106`): +```python +async def extract_tool_calls(self, responses_ids): + text = await loop.run_in_executor(None, self.tokenizer.decode, responses_ids) + + # Missing start/end = no tool calls + if self.tool_call_start_token not in text or self.tool_call_end_token not in text: + return text, [] # Silent failure + + matches = self.tool_call_regex.findall(text) + for match in matches: + try: + function_call = json.loads(match) + except Exception as e: + logger.error(f"Failed to decode tool call: {e}") # Logged but ignored + + return content, function_calls +``` + +**Result:** Incomplete tool calls return empty list, episode continues as if no tool was called. + +#### VERL SGLang: Checks finish_reason BUT Before Parsing + +**Implementation:** `verl/workers/rollout/sglang_rollout/sglang_rollout.py:920-965` +```python +finish_reason_type = FinishReasonTypeEnum.from_str(output["meta_info"]["finish_reason"]["type"]) + +if finish_reason_type == FinishReasonTypeEnum.LENGTH: + # Terminates IMMEDIATELY, doesn't check for tool calls + _req.add_assistant_message(...) + break +else: + # Only checks for tool calls if NOT truncated + if self._function_call_parser.has_tool_call(content): + try: + normed_content, tool_calls = self._function_call_parser.parse_non_stream(content) + except JSONDecodeError: + normed_content = content + tool_calls = [] +``` + +**Result:** If `finish_reason == "length"`, episode terminates before checking for tool calls. + +#### NeMo-RL: No finish_reason Checking + +**Implementation:** `RL/nemo_rl/experience/rollouts.py:440-490` +```python +# No stop_reason/finish_reason checking anywhere +env_output = calculate_rewards(active_batch, task_to_env) + +# Only checks sequence length +if len(tokenized_obs) + len(generated_ids[i]) + active_input_lengths[i] >= max_seq_len: + truncation_mask[i] = True +``` + +**Result:** Relies on environment to handle parsing failures. + +#### Verifiers: Will CRASH on Incomplete JSON + +**Implementation:** `verifiers/envs/tool_env.py:73-89` +```python +async def env_response(self, messages, state, **kwargs): + for tool_call in messages[-1]["tool_calls"]: + tool_name = tool_call.get("function", {}).get("name", "") + tool_args = json.loads(tool_call.get("function", {}).get("arguments", "")) # Can crash here! + tool_message = await self.call_tool(tool_name, tool_args, tool_call_id) +``` + +**Result:** If OpenAI API returns truncated tool call JSON, `json.loads()` raises exception and crashes. + +#### Tinker: Best Handling via parse_success Flag + +**Implementation:** `tinker-cookbook/recipes/tool_use/search/search_env.py:161-209` +```python +async def step(self, action): + message, parse_success = self.renderer.parse_response(action) + + if "tool_calls" in message: + # ... execute tool + else: + correct_format = float(parse_success) and float(self.check_format(message["content"])) + total_reward = self.format_coef * (correct_format - 1) + correct_answer + # If parse_success = False, format penalty applied +``` + +**Parser** (`renderers.py:140-161, 412-430`): +```python +def parse_response_for_stop_token(response, tokenizer, stop_token): + emt_count = response.count(stop_token) + if emt_count == 0: + # Missing stop token = parse failure + return Message(...), False + elif emt_count == 1: + return Message(...), True + +def parse_response(self, response): + assistant_message, parse_success = parse_response_for_stop_token(...) + if not parse_success: + return assistant_message, False + + match = re.search(r"(.*?)", assistant_message["content"]) + if match: + tool_calls = self._parse_tool_call(match.group(1)) + if tool_calls is None: + return assistant_message, False # Invalid JSON = parse failure +``` + +**Result:** Detects incomplete responses via missing stop token or invalid JSON, applies format penalty. + +#### **Summary Table** + +| Library | Checks finish_reason? | Detects incomplete? | Action | Filters from training? | +|---------|----------------------|---------------------|--------|----------------------| +| **VERL (agent_loop)** | No | No | Silent failure, continues | No | +| **VERL (sglang)** | Yes | Partial | Terminates before parsing | No | +| **NeMo-RL** | No | No | Relies on env | No | +| **Verifiers** | Only for prompts | No | **Crashes** | No | +| **Tinker** | No | Yes (parse_success) | Format penalty | No | + +#### **Recommendation for Forge:** + +**User was right to be skeptical!** Libraries don't treat mid-tool-call truncation specially. But here's why we still should: + +**Problem with incomplete tool calls:** +- Incomplete JSON → unparseable → can't execute +- But `response_mask = [1, 1, 1, ...]` → we TRAIN on garbage +- Model learns to produce `{"name": "search",` without closing + +**Best practice (combining Tinker's approach with finish_reason check):** +```python +if response.stop_reason == "length": + record_metric("episode/generation_truncated", 1, Reduce.MEAN) + + # Check if it looks like a tool call was truncated + has_tool_start = "" in response.text + has_tool_end = "" in response.text + + if has_tool_start and not has_tool_end: + # Mid-tool-call truncation + record_metric("episode/truncated_mid_tool_call", 1, Reduce.MEAN) + # Mark episode as truncated, let eviction policy handle it + episode.is_truncated = True + episode.truncation_reason = "mid_tool_call" + break # Terminate episode +``` + +**Let user decide via config:** +```yaml +grpo: + eviction_policy: + evict_truncated: true # Remove truncated episodes from buffer + evict_mid_tool_call: true # More aggressive for tool call corruption +``` + +--- + +### Q4 Research: Multiple Tool Calls + Budget Overflow + +**Finding: Libraries use ALL-OR-NOTHING (terminate) or TRUNCATE-TO-FIT strategies. None use fair allocation.** + +#### VERL: Pre-Truncate Each, Then Terminate if Total Exceeds + +**Individual truncation:** `verl/experimental/agent_loop/tool_agent_loop.py:457-464` +```python +# Each tool response truncated BEFORE tokenization +if len(tool_response_text) > self.max_tool_response_length: + if self.tool_response_truncate_side == "left": + tool_response_text = tool_response_text[:self.max_tool_response_length] + "...(truncated)" + # ... other strategies +``` + +**Total budget check:** `verl/experimental/agent_loop/tool_agent_loop.py:324-361` +```python +# All tool messages added +agent_data.messages.extend(add_messages) + +# Tokenize together +response_ids = tokenizer.apply_chat_template(add_messages, add_generation_prompt=True, tokenize=True) + +# Check if total exceeds budget +if len(agent_data.response_mask) + len(response_ids) >= self.response_length: + return AgentState.TERMINATED # Episode ends +``` + +**Multiple tools:** `verl/experimental/agent_loop/tool_agent_loop.py:267-272` +```python +# Parallel execution +tasks = [] +for tool_call in agent_data.tool_calls[:self.max_parallel_calls]: + tasks.append(self._call_tool(tool_call, agent_data.tools_kwargs)) + +responses = await asyncio.gather(*tasks) # All execute in parallel +``` + +**Result:** Truncate each to `max_tool_response_length`, then if total still exceeds budget, TERMINATE. + +#### NeMo-RL: Truncate-to-Fit Remaining Budget + +**Implementation:** `RL/nemo_rl/experience/rollouts.py:446-477` +```python +# After tokenizing env observation +if len(tokenized_obs) + len(generated_ids[i]) + active_input_lengths[i] >= max_seq_len: + # Calculate remaining budget + tokens_left_for_obs = max_seq_len - (len(generated_ids[i]) + active_input_lengths[i]) + + # Truncate to fit + tokenized_obs = tokenized_obs[:tokens_left_for_obs] + truncation_mask[i] = True + sample_truncated[active_indices[i]] = True +``` + +**Result:** Dynamically truncates observation (which may contain multiple tool results) to fit remaining budget. + +#### Tinker: All-or-Nothing Termination + +**Implementation:** `tinker-cookbook/recipes/tool_use/search/search_env.py:186-189` +```python +# After adding tool result to messages +next_observation = self.renderer.build_generation_prompt(self.past_messages) + +if next_observation.length > self.max_trajectory_tokens: + return failure_result # Episode terminates +``` + +**Multiple tools:** Only processes first tool call (line 179: `message["tool_calls"][0]`) + +**Result:** If adding tool result exceeds budget, TERMINATE. + +#### Verifiers: No Budget Checking + +**Implementation:** `verifiers/envs/tool_env.py:73-89` +```python +# Processes all tool calls sequentially +for tool_call in messages[-1]["tool_calls"]: + tool_message = await self.call_tool(tool_name, tool_args, tool_call_id) + tool_messages.append(tool_message) # No length check + +return tool_messages, state +``` + +**Result:** No budget management, relies on OpenAI client. + +#### **Summary Table** + +| Library | Multiple Tools? | Pre-Truncate Each? | Total Budget Check? | Overflow Strategy | Configurable? | +|---------|----------------|-------------------|---------------------|-------------------|---------------| +| **VERL** | Yes (parallel) | Yes (max_tool_response_length) | Yes | **TERMINATE** | Yes | +| **NeMo-RL** | Single env obs | No | Yes | **TRUNCATE to fit** | Partial | +| **Tinker** | First only | No | Yes | **TERMINATE** | Yes | +| **Verifiers** | Yes (sequential) | No | No | Unknown | No | + +#### **Recommendation for Forge:** + +**Implement hybrid approach combining best practices:** + +```python +# 1. Pre-truncate each tool result (like VERL) +max_tool_len = cfg.max_tool_result_length # Global: 1024 tokens + +for tool_call in tool_calls: + result = await execute_tool(tool_call) + result_tokens = tokenizer.encode(str(result), add_special_tokens=False) + + if len(result_tokens) > max_tool_len: + result_tokens = result_tokens[:max_tool_len] + result = tokenizer.decode(result_tokens) + "...(truncated)" + record_metric("tool/individual_truncated", 1, Reduce.MEAN) + + tool_results.append(result) + +# 2. Check if total fits in remaining budget +total_tool_tokens = sum(len(tokenizer.encode(r)) for r in tool_results) +remaining_budget = max_seq_len - len(all_tokens) + +if total_tool_tokens > remaining_budget: + # Option A: Terminate (safest, like VERL/Tinker) + record_metric("episode/tool_overflow_terminated", 1, Reduce.MEAN) + episode.is_truncated = True + episode.truncation_reason = "tool_overflow" + break + + # Option B: Fair allocation (new, user's preference) + if cfg.truncation.fair_allocate_tools: + per_tool_budget = remaining_budget // len(tool_results) + tool_results = [ + tokenizer.decode(tokenizer.encode(r)[:per_tool_budget]) + for r in tool_results + ] + record_metric("episode/tool_fair_allocated", 1, Reduce.MEAN) + +# 3. Add to messages +for result in tool_results: + messages.append({"role": "tool", "content": result}) +``` + +**Config:** +```yaml +blackjack_env: + max_tool_result_length: 1024 # Per-tool pre-truncation + +truncation: + strategy: "terminate" # or "fair_allocate" + evict_truncated: true # Remove from training buffer +``` + +**Why this is best:** +- Pre-truncation prevents individual tools from being too large +- Total budget check prevents episode overflow +- Configurable strategy (terminate vs fair allocate) +- Clear metrics for debugging +- User controls eviction policy + +--- + +**End of Document** diff --git a/brainstorming_forge_tau/3_truncation_v2.md b/brainstorming_forge_tau/3_truncation_v2.md new file mode 100644 index 000000000..611e22f74 --- /dev/null +++ b/brainstorming_forge_tau/3_truncation_v2.md @@ -0,0 +1,2458 @@ +# Truncation Strategy Investigation - V2 (Code-Based Analysis) + +**Date:** 2025-01-16 +**Context:** Multi-turn blackjack refactor - understanding how production libraries handle truncation, variable group sizes, and reference model timing. + +--- + +## Table of Contents + +1. [Investigation Questions](#investigation-questions) +2. [Library-by-Library Analysis](#library-by-library-analysis) + - [TRL](#trl) + - [VERL](#verl) + - [NeMo-RL](#nemo-rl) + - [Tinker-Cookbook](#tinker-cookbook) + - [Verifiers](#verifiers) +3. [Cross-Library Comparison](#cross-library-comparison) +4. [Discussion & Design Decisions](#discussion--design-decisions) +5. [Blackjack Implementation](#blackjack-implementation) + +--- + +## Investigation Questions + +### Q1: Variable Group Sizes - Continue with Fewer or Resample? + +**User's concern:** "I am a bit afraid of dynamic batch sizes. AFAIK, it's always better to have a fixed batch size for things like compile. I would prefer to keep the batch size fixed." + +**Three possible behaviors when episodes are truncated/invalid:** +- **(a)** Continue with fewer episodes in the group (e.g., 15 instead of 16) +- **(b)** Sample more data until exactly GROUP_SIZE valid episodes +- **(c)** Filter at dataset level before rollout + +**What we need to know:** +- How do libraries handle vectorization/batching with variable sizes? +- Do they maintain fixed batch sizes for training? +- How does this interact with compiled models? + +--- + +### Q2: Dataset Filtering vs Rollout Checking + +**User's perspective:** "We should absolutely filter in the dataset to not include initial prompts > max_seq_len. This type of case should never get to the rollout, since it wastes resources * group_size." + +**BUT:** "A lot of times the prompt will contain extra info, such as tool calling, state of the environment, etc. These we would only know when at the start of the rollout." + +**What we need to know:** +- Do libraries filter at dataset level or rollout level? +- How do they handle prompts that grow during rollout (multi-turn)? +- Is there a best practice? + +--- + +### Q3: Train on Partial Tokens - What Does "Masked" Mean? + +**User's confusion:** "You said 'most libraries train on partial tokens by default', but also said that all of them mask complete truncation. So they ACTUALLY train on those, right?" + +**Clarification needed:** +- When they say "train on truncated", do they mean: + - Train on partial text (e.g., "STA" instead of "STAND")? + - Or keep all turns but mask the truncated one (no gradient)? +- What exactly does "masking" do - zero loss or exclude from batch? + +--- + +### Q4: Reference Model Timing + +**User's proposed flow:** "Set reward to partial or 0, then run the reference model, compute the advantages, and then decide if we put it in the buffer or not." + +**What we need to know:** +- Do libraries compute ref_logprobs for ALL episodes (including ones they'll drop)? +- Or do they filter first, then compute ref_logprobs only for kept episodes? +- What's the exact flow: rollout → ref_model → buffer decision, or rollout → buffer decision → ref_model? + +--- + +## Library-by-Library Analysis + +--- + +## TRL + +### Repository +`/home/felipemello/forge/trl/` + +### Q1: Variable Group Sizes + +**Answer: ❌ Assumes fixed size - will break with variable groups** + +**Code Evidence:** + +**File:** `trl/trainer/grpo_trainer.py` (lines 1594-1607) +```python +# Calculate rewards for each reward function +rewards_per_func = self._calculate_rewards(inputs, prompts, completions, completion_ids_list) + +# Apply weights to each reward function's output and sum +rewards = (rewards_per_func * self.reward_weights.to(device).unsqueeze(0)).nansum(dim=1) + +# Compute grouped-wise rewards +mean_grouped_rewards = rewards.view(-1, self.num_generations).mean(dim=1) +# ^^^^ ASSUMES EXACTLY num_generations per prompt + +# Normalize the rewards to compute the advantages +mean_grouped_rewards = mean_grouped_rewards.repeat_interleave(self.num_generations, dim=0) +advantages = rewards - mean_grouped_rewards +``` + +**Critical line:** `rewards.view(-1, self.num_generations)` **requires** exactly `num_generations` samples per prompt. If you have variable group sizes (e.g., 15 instead of 16), this will crash with: +``` +RuntimeError: shape '[-1, 16]' is invalid for input of size 15 +``` + +**Batching for training:** + +**File:** `trl/trainer/grpo_trainer.py` (lines 1685-1711) +```python +output = { + "prompt_ids": prompt_ids, # [batch_size, seq_len] + "prompt_mask": prompt_mask, # [batch_size, seq_len] + "completion_ids": completion_ids, # [batch_size, max_completion_length] + "completion_mask": completion_mask, # [batch_size, max_completion_length] + "advantages": advantages, # [batch_size] + "num_items_in_batch": num_items_in_batch, +} +if ref_per_token_logps is not None: + output["ref_per_token_logps"] = ref_per_token_logps +``` + +All arrays are padded to fixed dimensions (`max_completion_length`), so training batch size is fixed. + +**Conclusion:** TRL maintains fixed batch sizes for training, but **requires** fixed group sizes during rollout. Cannot handle variable groups. + +--- + +### Q2: Dataset Filtering vs Rollout Checking + +**Answer: No dataset-level filtering - checking happens during generation** + +**Code Evidence:** + +**File:** `trl/trainer/grpo_trainer.py` (lines 1396-1432) +```python +def _generate(self, prompts: list): + device = self.accelerator.device + mode = "train" if self.model.training else "eval" + + prompt_ids, completion_ids, logprobs, extra_fields = self._generate_single_turn(prompts) + + # Get completion length per sequence, used for logging + prompt_lengths = torch.tensor([len(ids) for ids in prompt_ids], device=device) + completion_lengths = torch.tensor([len(ids) for ids in completion_ids], device=device) + + # Identify sequences that terminated with EOS and log their lengths + eos_and_pad = [self.eos_token_id, self.pad_token_id] + is_truncated = torch.tensor([ids[-1] not in eos_and_pad for ids in completion_ids], device=device) + agg_is_truncated = self.accelerator.gather(is_truncated) + self._metrics[mode]["completions/clipped_ratio"].append(agg_is_truncated.float().mean().item()) +``` + +**Truncation detection:** A sequence is truncated if its **last token** is NOT `eos_token_id` or `pad_token_id`. + +**No pre-filtering:** The dataset returns raw prompts, and truncation is only detected AFTER generation. + +**Example from OpenEnv scripts:** + +**File:** `trl/examples/scripts/openenv/catch.py` (lines 162-216) +```python +def rollout_func( + prompts: list[str], args: GRPOConfig, processing_class, client: OpenSpielEnv, gen_url: str +) -> dict[str, list]: + """Generate completions via vLLM and compute environment rewards.""" + env_rewards = [] + all_prompt_ids, all_completion_ids, all_logprobs = [], [], [] + + for base_prompt in prompts: + for _ in range(args.num_generations): # Generate args.num_generations per prompt + env_result = client.reset() + obs = env_result.observation + total_reward = 0.0 + + episode_prompt_ids, episode_completion_ids, episode_logprobs = [], [], [] + + while not obs.done: + # Generate action + episode_msg = {"prompt": [{"role": "user", "content": f"{base_prompt}\n\n{obs.info_state}\n"}]} + episode_prompt = apply_chat_template(episode_msg, processing_class) + + # No prompt length check here! + result = requests.post(gen_url, json=payload).json() + + episode_prompt_ids.extend(result["prompt_ids"][0]) + episode_completion_ids.extend(result["completion_ids"][0]) + episode_logprobs.extend(result["logprobs"][0]) + + # Step environment + # ... + + env_rewards.append(total_reward) + all_prompt_ids.append(episode_prompt_ids) + all_completion_ids.append(episode_completion_ids) + all_logprobs.append(episode_logprobs) + + return { + "prompt_ids": all_prompt_ids, + "completion_ids": all_completion_ids, + "logprobs": all_logprobs, + "env_reward": env_rewards, + } +``` + +**No budget checking** during rollout - episodes can grow unbounded. + +**Conclusion:** TRL does NOT filter at dataset level. Truncation is detected post-generation, and there's no explicit budget enforcement during multi-turn rollouts. + +--- + +### Q3: Train on Partial Tokens - What Does "Masked" Mean? + +**Answer: By default, train on partial tokens. With `mask_truncated_completions=True`, zero out the ENTIRE episode's gradient.** + +**Code Evidence:** + +**File:** `trl/trainer/grpo_trainer.py` (lines 1480-1485) +```python +# If mask_truncated_completions is enabled, zero out truncated completions in completion_mask +if self.mask_truncated_completions: + eos_and_pad = [self.eos_token_id, self.pad_token_id] + is_truncated = torch.tensor([ids[-1] not in eos_and_pad for ids in completion_ids_list], device=device) + completion_mask = completion_mask * (~is_truncated).unsqueeze(1).int() + # ^^^^ Sets completion_mask = 0 for ALL tokens in truncated episodes +``` + +**What `completion_mask` does:** + +**File:** `trl/trainer/grpo_trainer.py` (lines 1739-1752) +```python +def grpo_loss( + policy_chosen_logps: torch.FloatTensor, + reference_chosen_logps: torch.FloatTensor, + advantages: torch.FloatTensor, + completion_masks: torch.FloatTensor, # <-- Used here +) -> torch.FloatTensor: + # ... + per_token_loss = -advantages.unsqueeze(1) * policy_chosen_logps - beta * kl + # Apply mask to zero out non-completion tokens and truncated sequences + masked_loss = per_token_loss * completion_masks + # ^^^^ Tokens where completion_mask=0 contribute zero loss + + # Average over non-masked tokens + loss = masked_loss.sum() / completion_masks.sum() + return loss +``` + +**Behavior:** + +| Setting | Partial tokens (e.g., "STA") in batch? | Gradient computed? | +|---------|----------------------------------------|--------------------| +| `mask_truncated_completions=False` (default) | ✅ Yes | ✅ Yes - trains on "S", "T", "A" | +| `mask_truncated_completions=True` | ✅ Yes (still in batch) | ❌ No - `completion_mask=0` for entire episode | + +**Config documentation:** + +**File:** `trl/trainer/grpo_config.py` (lines 210-213) +```python +# mask_truncated_completions (`bool`, *optional*, defaults to `False`): +# When enabled, truncated completions are excluded from the loss calculation, preventing them from being +# incorrectly penalized and introducing noise during training. According to the +# [DAPO](https://huggingface.co/papers/2503.14476) paper, this is a good practice for training stability. +``` + +**Conclusion:** By default, TRL **trains on partial tokens** like "STA". With masking enabled, it keeps the episode in the batch but zeros its gradient contribution. + +--- + +### Q4: Reference Model Timing + +**Answer: ref_model called AFTER generation, BEFORE buffer decision, for ALL episodes (including truncated ones)** + +**Code Evidence:** + +**File:** `trl/trainer/grpo_trainer.py` - Full flow (lines 1461-1711) + +```python +# Step 1: Generation +prompt_ids_list, completion_ids_list, num_items_in_batch, sampling_per_token_logps_list, extra_fields = ( + self._generate(prompts) # Line 1461-1463 +) + +# Step 2: Build completion_mask (initially all 1s for non-padding tokens) +completion_mask = torch.stack( + [torch.tensor([token_id != self.pad_token_id for token_id in ids]) for ids in completion_ids_list] +).int() # Line 1479 + +# Step 3: Apply truncation masking (BUFFER DECISION) +if self.mask_truncated_completions: + eos_and_pad = [self.eos_token_id, self.pad_token_id] + is_truncated = torch.tensor([ids[-1] not in eos_and_pad for ids in completion_ids_list], device=device) + completion_mask = completion_mask * (~is_truncated).unsqueeze(1).int() # Line 1480-1485 + +# Step 4: Compute reference model logprobs (AFTER masking decision, but FOR ALL EPISODES) +with torch.no_grad(): + if self.beta != 0.0: + if self.ref_model is not None: + ref_per_token_logps, _ = self._get_per_token_logps_and_entropies( + self.ref_model, + prompt_completion_ids, + attention_mask, + logits_to_keep, + batch_size=batch_size, + num_images=num_images, + **forward_kwargs, + ) # Lines 1545-1569 + else: + with self.accelerator.unwrap_model(self.model).disable_adapter(): + ref_per_token_logps, _ = self._get_per_token_logps_and_entropies( + self.model, + prompt_completion_ids, + attention_mask, + logits_to_keep, + batch_size=batch_size, + num_images=num_images, + **forward_kwargs, + ) + +# Step 5: Compute rewards +rewards_per_func = self._calculate_rewards(inputs, prompts, completions, completion_ids_list) # Line 1597 + +# Step 6: Return to buffer (all episodes, with masking already applied) +output = { + "prompt_ids": prompt_ids, + "prompt_mask": prompt_mask, + "completion_ids": completion_ids, + "completion_mask": completion_mask, # Truncated episodes have mask=0 + "advantages": advantages, + "num_items_in_batch": num_items_in_batch, +} +if ref_per_token_logps is not None: + output["ref_per_token_logps"] = ref_per_token_logps # Lines 1685-1711 +``` + +**Exact flow:** +``` +1. rollout → generate episodes +2. detect truncation (is_truncated = last_token not in [eos, pad]) +3. apply completion_mask (BUFFER DECISION: mask=0 for truncated if config enabled) +4. ← ref_model.forward() for ALL episodes (including masked ones) +5. compute rewards for ALL episodes +6. compute advantages +7. add to buffer (all episodes, some with mask=0) +``` + +**Key insight:** ref_model computes logprobs for **ALL** episodes, including truncated ones. The masking only affects gradient flow during loss computation, not whether ref_model runs. + +**Conclusion:** TRL follows the pattern: rollout → masking decision → **ref_model (all episodes)** → buffer → train. + +--- + +### TRL Summary + +| Question | Answer | Key Mechanism | +|----------|--------|---------------| +| **Q1: Variable groups** | ❌ Cannot handle - assumes fixed size | `.view(-1, num_generations)` requires exact count | +| **Q2: Dataset filtering** | ❌ No filtering - truncation detected post-generation | Checking happens in `_generate()` | +| **Q3: Train on partial** | ✅ Yes by default, mask=0 if config enabled | `completion_mask` controls gradient, not batch membership | +| **Q4: Ref model timing** | After masking, before buffer, **for all episodes** | Single batched call processes everything | + +--- + +## VERL + +### Repository +`/home/felipemello/forge/verl/` + +### Q1: Variable Group Sizes + +**Answer: ✅ Continue with fewer episodes - handles variable sizes via sequence balancing** + +**Code Evidence:** + +**File:** `verl/trainer/ppo/ray_trainer.py` (lines 1031-1077) +```python +# Repeat prompts by rollout.n times +gen_batch_output = gen_batch.repeat( + repeat_times=self.config.actor_rollout_ref.rollout.n, interleave=True +) + +# ... generate sequences ... + +# repeat to align with repeated responses in rollout +batch = batch.repeat(repeat_times=self.config.actor_rollout_ref.rollout.n, interleave=True) +batch = batch.union(gen_batch_output) +``` + +**No explicit GROUP_SIZE enforcement.** All generated episodes proceed to the next stage. + +**Handling variable lengths:** + +**File:** `verl/trainer/ppo/ray_trainer.py` (lines 1082-1086) +```python +if self.config.trainer.balance_batch: + self._balance_batch(batch, metrics=metrics) +``` + +**File:** `verl/trainer/ppo/ray_trainer.py` (lines 919-954) +```python +def _balance_batch(self, batch: DataProto, metrics: dict = None): + """Balance batch across DP ranks by total token count, not number of sequences""" + + # Get sequence lengths + input_ids = batch.batch["input_ids"] + seq_lens = (input_ids != self.tokenizer.pad_token_id).sum(dim=-1).cpu().numpy() + + # Partition sequences across DP ranks to balance total tokens + dp_size = self.config.trainer.n_gpus_per_node * self.config.trainer.nnodes // self.config.trainer.ppo_mini_batch_size + partitions = get_seqlen_balanced_partitions(seq_lens, dp_size) + + # Each rank gets a different number of sequences, but similar total tokens + # ... +``` + +**Key insight:** VERL uses **sequence balancing**, NOT fixed batch sizes. Each DP rank gets different numbers of sequences, balanced by total token count. + +**Truncation creates variable lengths:** + +**File:** `verl/experimental/agent_loop/tool_agent_loop.py` (lines 165-182) +```python +# Finalize output +response_ids = agent_data.prompt_ids[-len(agent_data.response_mask) :] +prompt_ids = agent_data.prompt_ids[: len(agent_data.prompt_ids) - len(agent_data.response_mask)] +output = AgentLoopOutput( + prompt_ids=prompt_ids, + response_ids=response_ids[: self.response_length], # Truncate to response_length + response_mask=agent_data.response_mask[: self.response_length], + # ... +) +``` + +Episodes are truncated at `self.response_length`, creating variable-length sequences. + +**Conclusion:** VERL explicitly handles variable group sizes and variable sequence lengths. It maintains dynamic batch sizes balanced by token count, not sequence count. + +--- + +### Q2: Dataset Filtering vs Rollout Checking + +**Answer: Rollout-level checking - budget enforced during generation** + +**Code Evidence:** + +**File:** `verl/experimental/agent_loop/tool_agent_loop.py` (lines 233-239) +```python +async def _handle_generating_state(self, agent_data, sampling_params, ignore_termination=False): + # ... generation ... + + # Check termination conditions + if not ignore_termination and len(agent_data.response_mask) >= self.response_length: + return AgentState.TERMINATED + if self.max_assistant_turns and agent_data.assistant_turns >= self.max_assistant_turns: + return AgentState.TERMINATED + if self.max_user_turns and agent_data.user_turns >= self.max_user_turns: + return AgentState.TERMINATED +``` + +**No dataset-level filtering.** Budget is checked **during rollout** after each turn: +- `len(agent_data.response_mask) >= self.response_length` → episode terminates +- Episodes can grow turn-by-turn until hitting budget + +**Multi-turn prompt growth:** + +**File:** `verl/experimental/agent_loop/tool_agent_loop.py` (lines 324-361) +```python +async def _handle_processing_tools_state(self, agent_data): + # Execute tools + add_messages = [] + for tool_call in agent_data.tool_calls[:self.max_parallel_calls]: + tool_response = await self._call_tool(tool_call, agent_data.tools_kwargs) + add_messages.append({ + "role": "tool", + "tool_call_id": tool_call.get("id"), + "content": tool_response_text, + }) + + # Add all tool messages + agent_data.messages.extend(add_messages) + + # Tokenize the new messages + response_ids = await self.loop.run_in_executor( + None, + lambda: self.tokenizer.apply_chat_template( + add_messages, add_generation_prompt=True, tokenize=True + ), + ) + + # Check if total exceeds budget (ROLLOUT-LEVEL CHECK) + if len(agent_data.response_mask) + len(response_ids) >= self.response_length: + return AgentState.TERMINATED # Episode ends +``` + +**Conclusion:** VERL does NOT filter at dataset level. It checks budget during rollout, allowing prompts to grow multi-turn until hitting `response_length`. + +--- + +### Q3: Train on Partial Tokens - What Does "Masked" Mean? + +**Answer: ✅ VERL terminates cleanly at turn boundaries - NO partial tokens generated** + +**Code Evidence:** + +**File:** `verl/experimental/agent_loop/tool_agent_loop.py` (lines 233-239) +```python +# Check termination BEFORE generating next turn +if not ignore_termination and len(agent_data.response_mask) >= self.response_length: + return AgentState.TERMINATED # Episode ends BEFORE generating partial tokens +``` + +**VERL is unique:** It checks budget **before** each generation, so it never generates partial tokens like "STA". The conversation ends cleanly with complete turns only. + +**Example flow:** +``` +Turn 1: prompt=100 tokens, response=50 tokens, total=150 +Turn 2: prompt=150 tokens (includes turn 1), response=80 tokens, total=230 +Turn 3: Check: prompt=230 tokens, would generate more + → len(response_mask) >= response_length (250) + → TERMINATE before generating +``` + +**Output truncation:** + +**File:** `verl/workers/rollout/schemas.py` (lines 658-673) +```python +def truncate_output_ids( + self, processing_class: PreTrainedTokenizer | PreTrainedTokenizerFast | ProcessorMixin +) -> None: + """Truncate sequences to max_model_len""" + self.input_ids = self.input_ids[..., : self.max_model_len] + self.attention_mask = self.attention_mask[..., : self.max_model_len] + self.position_ids = self.position_ids[..., : self.max_model_len] + self.loss_mask = self.loss_mask[..., : self.max_model_len] + self.response_ids = self.input_ids[..., self.prompt_ids.shape[-1] :][..., : self.max_response_len] + self.response_attention_mask = self.attention_mask[..., self.prompt_attention_mask.shape[-1] :][ + ..., : self.max_response_len + ] +``` + +This is a **safety truncation** at the sequence level (if somehow it exceeds), not turn-level truncation. + +**Conclusion:** VERL does NOT train on partial tokens. It terminates episodes cleanly at turn boundaries before generating partial text. + +--- + +### Q4: Reference Model Timing + +**Answer: ref_model called AFTER generation, for ALL episodes** + +**Code Evidence:** + +**File:** `verl/trainer/ppo/ray_trainer.py` (lines 1037-1144) - Full flow + +```python +# Step 1: Generate sequences +with marked_timer("gen", timing_raw, color="red"): + if not self.async_rollout_mode: + gen_batch_output = self.actor_rollout_wg.generate_sequences(gen_batch_output) + else: + gen_batch_output = self.async_rollout_manager.generate_sequences(gen_batch_output) + +# Step 2: Combine with original batch +batch = batch.repeat(repeat_times=self.config.actor_rollout_ref.rollout.n, interleave=True) +batch = batch.union(gen_batch_output) + +# Step 3: Compute reward +with marked_timer("reward", timing_raw, color="yellow"): + if self.use_rm and "rm_scores" not in batch.batch.keys(): + reward_tensor = self.rm_wg.compute_rm_score(batch) + batch = batch.union(reward_tensor) + +# Step 4: Compute old_log_probs (if needed) +if need_recomputation: + with marked_timer("old_log_prob", timing_raw, color="blue"): + old_log_prob = self.actor_rollout_wg.compute_log_prob(batch) + batch = batch.union(old_log_prob) + +# Step 5: Compute ref_log_prob (THIS IS THE KEY!) +if self.use_reference_policy: + with marked_timer(str(Role.RefPolicy), timing_raw, color="olive"): + if not self.ref_in_actor: + ref_log_prob = self.ref_policy_wg.compute_ref_log_prob(batch) + else: + ref_log_prob = self.actor_rollout_wg.compute_ref_log_prob(batch) + batch = batch.union(ref_log_prob) # Lines 1082-1099 + +# Step 6: Compute values (critic) +if self.use_critic: + with marked_timer("values", timing_raw, color="cyan"): + values = self.critic_wg.compute_values(batch) + batch = batch.union(values) +``` + +**Exact flow:** +``` +1. rollout → generate_sequences +2. union → combine with prompts +3. reward → compute rewards on ALL episodes +4. old_log_prob → compute current policy logprobs (for rollout correction) +5. ← ref_log_prob → compute reference policy logprobs on ALL episodes +6. values → compute critic values +7. train +``` + +**No selective ref_model computation.** Every episode that enters the batch goes through ref_model. + +**Why this matters:** In VERL, there's no explicit "buffer decision" with accept/reject logic. ALL generated episodes are processed through the full pipeline unconditionally. + +**Conclusion:** VERL follows: rollout → **ref_model (all episodes)** → train. No filtering before ref_model. + +--- + +### VERL Summary + +| Question | Answer | Key Mechanism | +|----------|--------|---------------| +| **Q1: Variable groups** | ✅ Continue with fewer - handles variable sizes | Sequence balancing by token count, not sequence count | +| **Q2: Dataset filtering** | ❌ Rollout-level checking | Budget checked during generation via `response_length` | +| **Q3: Train on partial** | ❌ No - clean turn termination | Checks budget BEFORE generating, never creates partial tokens | +| **Q4: Ref model timing** | After rollout, before training, **for all episodes** | Sequential pipeline processes everything | + +--- + +## NeMo-RL + +### Repository +`/home/felipemello/forge/RL/` + +### Q1: Variable Group Sizes + +**Answer: ✅ Sample more until exact size (in dynamic sampling mode), OR continue with fewer (standard mode)** + +**Code Evidence:** + +**Dynamic Sampling Mode:** + +**File:** `RL/nemo_rl/algorithms/grpo.py` (lines 541-667) +```python +def dynamic_sampling( + repeated_batch, + std, + baseline, + master_config, + batch_cache=None, + dynamic_sampling_num_gen_batches=1, +): + """ + Dynamic sampling: filter prompts with zero std, sample more batches until we have enough. + """ + # Required batch size for training + train_prompts_size = ( + master_config["grpo"]["num_prompts_per_step"] + * master_config["grpo"]["num_generations_per_prompt"] + ) + + if master_config["grpo"]["use_dynamic_sampling"]: + # Get the prompt indices with non-zero std + non_zero_std_mask = std != 0.0 + keep_prompt_indices = torch.arange(len(non_zero_std_mask))[non_zero_std_mask].tolist() + + # Only select the inputs that have non-zero std + filtered_repeated_batch = repeated_batch.select_indices(keep_prompt_indices) + + # If none of the prompts have non-zero std, skip this batch + if filtered_repeated_batch.size > 0: + # Concatenate with previous batch cache + batch_cache = ( + filtered_repeated_batch if batch_cache is None + else BatchedDataDict.from_batches([batch_cache, filtered_repeated_batch]) + ) + + filtered_prompts_size = batch_cache.size if batch_cache is not None else 0 + + # If insufficient, keep sampling more batches + if filtered_prompts_size < train_prompts_size: + if dynamic_sampling_num_gen_batches <= master_config["grpo"].get("dynamic_sampling_max_gen_batches", 10): + is_batch_complete = False # Signal to continue sampling + else: + raise ValueError(f"Reached max generation batches ({dynamic_sampling_max_gen_batches})") + else: + # We have enough! Slice to exact size + batch_cache = batch_cache.select_indices(list(range(train_prompts_size))) + is_batch_complete = True + + return batch_cache, is_batch_complete, batch_cache, metrics + else: + # Standard mode: no filtering + return repeated_batch, True, None, {} +``` + +**Behavior:** +- **Dynamic mode:** Caches partial batches, samples more until exactly `num_prompts_per_step * num_generations_per_prompt` valid episodes +- **Standard mode:** No filtering, all episodes proceed + +**Standard Mode (no dynamic sampling):** + +**File:** `RL/nemo_rl/algorithms/grpo.py` (lines 924-927) +```python +# Always maintain exact group size by repeating prompts +repeated_batch: BatchedDataDict[DatumSpec] = batch.repeat_interleave( + master_config["grpo"]["num_generations_per_prompt"] +) +``` + +**Batching for training:** + +**File:** `RL/nemo_rl/algorithms/grpo.py` (lines 1086-1123) +```python +# Convert to flat messages for training +flat_messages, input_lengths = batched_message_log_to_flat_message( + repeated_batch["message_log"], + truncate_to_max_len=master_config["grpo"]["truncate_to_max_len"], +) + +train_data = BatchedDataDict[ClippedPGLossDataDict]({ + "input_ids": flat_messages["token_ids"], # Variable length sequences + "advantages": flat_messages["advantages"], + "response_mask": flat_messages["response_mask"], # Marks assistant tokens + "loss_multiplier": repeated_batch["loss_multiplier"], # Can be 0 for truncated + # ... +}) +``` + +**Fixed vs variable batch sizes:** +- Dynamic mode: **Fixed batch size** (resamples to exact count) +- Standard mode: **Fixed batch size** (repeats prompts exactly `num_generations_per_prompt` times) +- Within batch: **Variable sequence lengths** (handled by padding/masking) + +**Conclusion:** NeMo-RL maintains fixed batch sizes by either resampling (dynamic mode) or fixed repetition (standard mode). Variable-length sequences within batches are handled via masking. + +--- + +### Q2: Dataset Filtering vs Rollout Checking + +**Answer: Rollout-level checking - budget enforced per-turn during multi-turn rollouts** + +**Code Evidence:** + +**File:** `RL/nemo_rl/experience/rollouts.py` (lines 444-470) +```python +# Multi-turn rollout loop +for turn_idx in range(max_rollout_turns): + # ... generate response ... + + # Calculate reward and get environment observation + env_output = calculate_rewards(active_batch, task_to_env) + + truncation_mask = torch.zeros_like(env_output.terminateds, dtype=torch.bool) + + for i, global_idx in enumerate(active_indices.tolist()): + env_obs_content = env_output.observations[i]["content"] + + # Tokenize environment observation (tool result / game state) + tokenized_obs = tokenizer( + env_obs_content, + return_tensors="pt", + add_special_tokens=False + ).input_ids[0] + + # CHECK IF NEW MESSAGE OVERFLOWS max_seq_len + if (len(tokenized_obs) + len(generated_ids[i]) + active_input_lengths[i] >= max_seq_len): + # Calculate remaining budget + tokens_left_for_obs = max_seq_len - (len(generated_ids[i]) + active_input_lengths[i]) + + # Truncate the environment observation (not the generation!) + tokenized_obs = tokenized_obs[:tokens_left_for_obs] + truncation_mask[i] = True + + # Record truncation + sample_truncated[active_indices[i]] = True +``` + +**No dataset-level filtering.** Episodes start from dataset prompts and grow turn-by-turn. Budget is checked **after each generation** to decide whether to truncate the environment observation. + +**Truncation strategy:** Truncate **environment response** (tool results / game state), NOT the model generation. The model's text is kept intact. + +**Conclusion:** NeMo-RL does NOT filter at dataset level. It checks budget during rollout and dynamically truncates environment observations to fit remaining budget. + +--- + +### Q3: Train on Partial Tokens - What Does "Masked" Mean? + +**Answer: Train on full generated text (e.g., "STAND"), but truncate environment response. Can zero loss via `loss_multiplier`.** + +**Code Evidence:** + +**Truncation detection (from Q2 above):** +- Sets `sample_truncated[i] = True` for episodes that hit `max_seq_len` +- Truncates **environment observation** to fit remaining budget +- Model's generated text is NOT truncated + +**Overlong filtering:** + +**File:** `RL/nemo_rl/algorithms/grpo.py` (lines 1066-1075) +```python +use_overlong_filtering = master_config["grpo"]["overlong_filtering"] +if use_overlong_filtering: + loss_multiplier = repeated_batch["loss_multiplier"].clone() + truncated = repeated_batch["truncated"] + + if isinstance(truncated, list): + truncated = torch.tensor(truncated, dtype=torch.bool) + + # Zero out loss for truncated samples + loss_multiplier[truncated] = 0 + repeated_batch["loss_multiplier"] = loss_multiplier +``` + +**What `loss_multiplier` does:** + +**File:** `RL/nemo_rl/algorithms/clipped_pg_loss.py` (lines 45-87) +```python +def clipped_policy_gradient_loss( + logprobs, + prev_logprobs, + advantages, + response_mask, + loss_multiplier, # <-- Used here + eps=0.2, +): + # Calculate importance ratio + ratio = torch.exp(logprobs - prev_logprobs) + clipped_ratio = torch.clamp(ratio, 1 - eps, 1 + eps) + + # Policy gradient loss + pg_loss_unclipped = -advantages * ratio + pg_loss_clipped = -advantages * clipped_ratio + pg_loss = torch.max(pg_loss_unclipped, pg_loss_clipped) + + # Apply response_mask (only train on assistant tokens) and loss_multiplier (zero for truncated) + masked_pg_loss = pg_loss * response_mask * loss_multiplier.unsqueeze(-1) + # ^^^^ Tokens where loss_multiplier=0 contribute zero gradient + + # Average over non-masked tokens + loss = masked_pg_loss.sum() / (response_mask * loss_multiplier.unsqueeze(-1)).sum().clamp(min=1.0) + return loss +``` + +**Behavior:** + +| Setting | Generated text in batch? | Env response truncated? | Gradient computed? | +|---------|-------------------------|-------------------------|-------------------| +| `overlong_filtering=False` (default) | ✅ Full (e.g., "STAND") | ✅ Yes (to fit budget) | ✅ Yes | +| `overlong_filtering=True` | ✅ Full (e.g., "STAND") | ✅ Yes (to fit budget) | ❌ No - `loss_multiplier=0` | + +**Conclusion:** NeMo-RL does NOT train on partial tokens. It keeps full model generations but truncates environment observations. With `overlong_filtering=True`, it zeros `loss_multiplier` for truncated episodes (no gradient). + +--- + +### Q4: Reference Model Timing + +**Answer: Rollout → filter (optional) → ref_model (only for kept episodes)** + +**Code Evidence:** + +**File:** `RL/nemo_rl/algorithms/grpo.py` (lines 936-1132) - Full flow + +```python +# Step 1: Generation (rollout) +with timer.time("generation"): + repeated_batch, rollout_metrics = run_multi_turn_rollout( + policy_generation=policy_generation, + input_batch=repeated_batch, + tokenizer=tokenizer, + max_seq_len=master_config["grpo"]["max_seq_len"], + max_rollout_turns=master_config["grpo"]["max_rollout_turns"], + # ... + ) + policy_generation.finish_generation() + +# Step 2: Reward processing & filtering decision +with timer.time("reward_calculation"): + rewards = repeated_batch["total_reward"] + baseline, std = calculate_baseline_and_std_per_prompt( + rewards, + master_config["grpo"]["num_generations_per_prompt"], + ) + + # Dynamic sampling filtering happens HERE + repeated_batch, is_batch_complete, batch_cache, ds_metrics = dynamic_sampling( + repeated_batch, std, baseline, master_config, batch_cache, dynamic_sampling_num_gen_batches + ) + + # If not enough samples, skip to next batch WITHOUT calling ref_model + if not is_batch_complete: + continue # <-- Skips ref_model! + +# Step 3: Data preparation (still before ref_model) +with timer.time("data_processing"): + # Add loss masks, advantages, etc. + for i, message_log in enumerate(repeated_batch["message_log"]): + for j, message in enumerate(message_log): + if message["role"] == "assistant": + message["token_loss_mask"] = torch.ones_like(message["token_ids"]) + message["advantages"] = advantages[i].expand(message["token_ids"].shape) + + # Convert to training format + flat_messages, input_lengths = batched_message_log_to_flat_message( + repeated_batch["message_log"], + truncate_to_max_len=master_config["grpo"]["truncate_to_max_len"], + ) + train_data = BatchedDataDict[ClippedPGLossDataDict]({ + "input_ids": flat_messages["token_ids"], + "advantages": flat_messages["advantages"], + "response_mask": flat_messages["response_mask"], + "loss_multiplier": repeated_batch["loss_multiplier"], + # ... + }) + +# Step 4: Reference model logprobs (AFTER buffer decision, ONLY for kept episodes) +print("▶ Preparing for logprob inference...", flush=True) +with timer.time("logprob_inference_prep"): + policy.prepare_for_lp_inference() + +print("▶ Computing logprobs...", flush=True) +with timer.time("policy_and_reference_logprobs"): + fprop_logprobs = policy.get_logprobs(train_data)["logprobs"] + reference_logprobs = policy.get_reference_policy_logprobs(train_data)["reference_logprobs"] + # ^^^^ ref_model called here, AFTER filtering, ONLY for is_batch_complete=True + + train_data["prev_logprobs"] = fprop_logprobs + train_data["reference_policy_logprobs"] = reference_logprobs +``` + +**Exact flow:** +``` +1. rollout → generate episodes +2. reward → compute rewards +3. filter (dynamic sampling) → keep only non-zero std prompts +4. if not enough samples: continue (skip ref_model) +5. if enough samples: data preparation +6. ← ref_model.get_reference_policy_logprobs() ONLY for kept episodes +7. train +``` + +**Key insight:** NeMo-RL skips ref_model for incomplete batches. Only batches with enough valid samples get ref_logprobs computed. + +**Conclusion:** NeMo-RL follows: rollout → filter → **ref_model (only kept episodes)** → train. + +--- + +### NeMo-RL Summary + +| Question | Answer | Key Mechanism | +|----------|--------|---------------| +| **Q1: Variable groups** | ✅ Sample more (dynamic mode) OR fixed size (standard mode) | Dynamic sampling caches batches, resamples to exact size | +| **Q2: Dataset filtering** | ❌ Rollout-level checking | Budget checked per-turn, truncates env observations | +| **Q3: Train on partial** | ❌ No - keeps full model generation, truncates env | `loss_multiplier=0` for truncated if `overlong_filtering=True` | +| **Q4: Ref model timing** | After filter, before training, **only for kept episodes** | `continue` skips ref_model if batch incomplete | + +--- + +## Tinker-Cookbook + +### Repository +`/home/felipemello/forge/tinker-cookbook/` + +### Q1: Variable Group Sizes + +**Answer: ✅ Continue with fewer episodes - explicitly trains on smaller batches** + +**Code Evidence:** + +**File:** `tinker_cookbook/rl/train.py` (lines 987-1006) +```python +# Generate trajectory groups in parallel +trajectory_groups_P = await asyncio.gather( + *[ + asyncio.create_task( + do_group_rollout_and_filter_constant_reward( + sampling_client, + builder, + max_tokens=cfg.max_tokens, + do_remove_constant_reward_groups=cfg.remove_constant_reward_groups, + enable_logging=i < cfg.num_groups_to_log, + ), + name=f"sample_task_{i}", + ) + for i, builder in enumerate(env_group_builders_P) + ], +) + +# Filter out None groups (filtered due to constant rewards) +trajectory_groups_P = [ + trajectory_group + for trajectory_group in trajectory_groups_P + if trajectory_group is not None # <-- Filter out dropped groups +] +``` + +**Filtering logic:** + +**File:** `tinker_cookbook/rl/train.py` (lines 657-676) +```python +async def do_group_rollout_and_filter_constant_reward( + sampling_client: tinker.SamplingClient, + env_group_builder: EnvGroupBuilder, + max_tokens: int, + do_remove_constant_reward_groups: bool, + enable_logging: bool = True, +) -> TrajectoryGroup | None: + """Rollout a group and optionally filter if all rewards are the same""" + policy = TinkerTokenCompleter(sampling_client, max_tokens=max_tokens) + + with logtree.optional_enable_logging(enable_logging): + trajectory_group = await do_group_rollout(env_group_builder, policy) + + # Remove if all trajectories have the same reward (no gradient signal) + trajectory_groups = [trajectory_group] + if do_remove_constant_reward_groups: + trajectory_groups = remove_constant_reward_groups(trajectory_groups) + if len(trajectory_groups) == 0: + return None # <-- Returns None if filtered out + return trajectory_groups[0] +``` + +**File:** `tinker_cookbook/rl/data_processing.py` (lines 198-209) +```python +def remove_constant_reward_groups( + trajectory_groups_P: List[TrajectoryGroup], +) -> List[TrajectoryGroup]: + """Filter out groups where all rewards are identical (no learning signal)""" + new_groups: list[TrajectoryGroup] = [] + for group in trajectory_groups_P: + if not all_same(group.get_total_rewards()): + new_groups.append(group) + if not new_groups: + logger.warning("All rewards are uniform. There will be no gradient") + return trajectory_groups_P[0:1] # return singleton list in case empty + return new_groups +``` + +**Batching with variable sizes:** + +**File:** `tinker_cookbook/rl/train.py` (lines 837-846) +```python +# Note: we may have removed trajectory groups that have the same reward. +# To have the same results as the sync implementation, we will +# remove these and train on a smaller batch. +wrapped_trajectory_groups = [g for g in wrapped_trajectory_groups if g is not None] + +data_D, prepare_minibatch_metrics = await prepare_minibatch( + [g.env_group_builder for g in wrapped_trajectory_groups], + [g.trajectory_group for g in wrapped_trajectory_groups], + tokenizer, + service_client, + model_name=cfg.model_name, + kl_penalty_coef=cfg.kl_penalty_coef, + kl_discount_factor=cfg.kl_discount_factor, +) +``` + +**Explicit comment:** "we will remove these and train on a smaller batch." + +**Conclusion:** Tinker explicitly handles variable group sizes by training on smaller batches when groups are filtered. No resampling, no fixed size requirement. + +--- + +### Q2: Dataset Filtering vs Rollout Checking + +**Answer: Rollout-level checking - budget enforced during multi-turn episodes** + +**Code Evidence:** + +**File:** `tinker_cookbook/recipes/tool_use/search/search_env.py` (lines 161-195) +```python +async def step(self, action: Action) -> StepResult: + """Execute one step of the environment""" + message, parse_success = self.renderer.parse_response(action) + + self.past_messages.append(message) + + if "tool_calls" in message: + failure_result = StepResult( + reward=0.0, + episode_done=True, # <-- Episode terminates + next_observation=tinker.ModelInput.empty(), + next_stop_condition=self.stop_condition, + ) + + if message["tool_calls"][0]["name"] == "search": + self.current_num_calls += 1 + if self.current_num_calls > self.max_num_calls: + return failure_result # Too many calls + + try: + tool_return_message = await self.call_search_tool(message["tool_calls"][0]) + self.past_messages.extend(tool_return_message) + except Exception as e: + logger.error(f"Error calling search tool: {repr(e)}") + return failure_result # Tool error + + # Rebuild prompt from FULL history + next_observation = self.renderer.build_generation_prompt(self.past_messages) + + # CHECK BUDGET (ROLLOUT-LEVEL) + if next_observation.length > self.max_trajectory_tokens: + return failure_result # <-- TRUNCATION: Episode ends with reward=0 + + return StepResult( + reward=0.0, + episode_done=False, # Continue if within budget + next_observation=next_observation, + next_stop_condition=self.stop_condition, + ) +``` + +**No dataset-level filtering.** Budget is checked **after adding tool results** to the conversation. + +**Constructor:** + +**File:** `tinker_cookbook/recipes/tool_use/search/search_env.py` (lines 108-117) +```python +class SearchEnv(ProblemEnv): + def __init__( + self, + ..., + max_trajectory_tokens: int = 32 * 1024, + max_num_calls: int = 10, + ): + self.past_messages: list[renderers.Message] = [] + self.max_trajectory_tokens = max_trajectory_tokens + self.current_num_calls = 0 +``` + +**Conclusion:** Tinker does NOT filter at dataset level. It checks budget during rollout and terminates episodes when `next_observation.length > max_trajectory_tokens`. + +--- + +### Q3: Train on Partial Tokens - What Does "Masked" Mean? + +**Answer: Episode ends with failure reward when budget exceeded - full trajectory kept, but penalized** + +**Code Evidence:** + +**Truncation behavior (from Q2 above):** +- When budget exceeded: `return failure_result` with `reward=0.0` and `episode_done=True` +- The **entire trajectory** (all previous turns) is kept +- No partial tokens are generated (episode ends before next generation) + +**Rollout structure:** + +**File:** `tinker_cookbook/rl/rollouts.py` (lines 16-34) +```python +async def do_single_rollout(policy: TokenCompleter, env: Env) -> Trajectory: + """Run a single episode until completion""" + transitions = [] + ob, stop_condition = await env.initial_observation() + + while True: + ac_with_logprobs = await policy(ob, stop_condition) + step_result = await env.step(ac_with_logprobs.tokens) + + transition = Transition( + ob=ob, + ac=ac_with_logprobs, + reward=step_result.reward, + episode_done=step_result.episode_done, + metrics=step_result.metrics, + ) + transitions.append(transition) + + ob = step_result.next_observation + stop_condition = step_result.next_stop_condition + + if step_result.episode_done: # <-- Breaks when truncated + break + + return Trajectory(transitions=transitions, final_ob=ob) +``` + +All transitions (including the one that triggered truncation) are saved in the trajectory. + +**No masking mechanism.** Episodes are penalized via `reward=0.0`, but all tokens contribute to loss. + +**Conclusion:** Tinker does NOT train on partial tokens (episode ends before generating them) and does NOT mask truncated episodes. It penalizes them with `reward=0.0`. + +--- + +### Q4: Reference Model Timing + +**Answer: Rollout → filter → ref_model (only for kept episodes)** + +**Code Evidence:** + +**File:** `tinker_cookbook/rl/train.py` (lines 657-676) - Rollout and filtering + +```python +async def do_group_rollout_and_filter_constant_reward( + sampling_client: tinker.SamplingClient, + env_group_builder: EnvGroupBuilder, + max_tokens: int, + do_remove_constant_reward_groups: bool, + enable_logging: bool = True, +) -> TrajectoryGroup | None: + policy = TinkerTokenCompleter(sampling_client, max_tokens=max_tokens) + + with logtree.optional_enable_logging(enable_logging): + trajectory_group = await do_group_rollout(env_group_builder, policy) + # ^^^^ No ref_model called here - only current policy + + # Filter based on rewards + trajectory_groups = [trajectory_group] + if do_remove_constant_reward_groups: + trajectory_groups = remove_constant_reward_groups(trajectory_groups) + if len(trajectory_groups) == 0: + return None # Filtered out + return trajectory_groups[0] +``` + +**File:** `tinker_cookbook/rl/train.py` (lines 702-740) - Reference model during training preparation + +```python +async def prepare_minibatch( + env_group_builders_P: Sequence[EnvGroupBuilder], + trajectory_groups_P: list[TrajectoryGroup], + tokenizer: Tokenizer, + service_client: tinker.ServiceClient, + model_name: str, + kl_penalty_coef: float, + kl_discount_factor: float, +) -> tuple[list[tinker.Datum], dict[str, Any]]: + """Converts the trajectories into a minibatch, and provides metrics about the minibatch""" + + # ... assemble training data from trajectory_groups_P (ONLY kept episodes) ... + + # Incorporate KL penalty if configured + if kl_penalty_coef > 0: + with timed("kl_vs_base", metrics): + kl_penalty_metrics = await incorporate_kl_penalty( + data_D, + service_client.create_sampling_client(base_model=model_name), + # ^^^^ THIS is where ref_model is called + kl_penalty_coef, + kl_discount_factor, + ) + metrics.update(kl_penalty_metrics) + + return data_D, metrics +``` + +**File:** `tinker_cookbook/rl/metrics.py` (lines 86-131) - KL penalty computation + +```python +async def incorporate_kl_penalty( + data_D: List[tinker.Datum], + base_sampling_client: tinker.SamplingClient, + kl_penalty_coef: float, + kl_discount_factor: float, +) -> Dict[str, float]: + """ + Compute KL against base model. Adjust advantages in-place. + """ + # Compute logprobs at all data items (ONLY for episodes in data_D) + full_sequence_inputs_D = [ + datum.model_input.append_int(cast(int, datum.loss_fn_inputs["target_tokens"].data[-1])) + for datum in data_D + ] + + # ← ref_model called here + base_logprobs_D = await asyncio.gather( + *[ + base_sampling_client.compute_logprobs_async(sequence_input) + for sequence_input in full_sequence_inputs_D + ] + ) + + # ... compute KL penalty and adjust advantages ... +``` + +**Exact flow:** +``` +1. rollout → do_group_rollout (current policy only) +2. filter → remove_constant_reward_groups (returns None for dropped) +3. if filtered: return None (no ref_model call) +4. if kept: prepare_minibatch +5. ← ref_model.compute_logprobs_async() for ONLY kept episodes +6. train +``` + +**Key insight:** ref_model is called **only for episodes that will be trained on**, after the buffer decision. + +**Conclusion:** Tinker follows: rollout → filter → **ref_model (only kept episodes)** → train. + +--- + +### Tinker-Cookbook Summary + +| Question | Answer | Key Mechanism | +|----------|--------|---------------| +| **Q1: Variable groups** | ✅ Continue with fewer - explicit support | Trains on smaller batches when groups filtered | +| **Q2: Dataset filtering** | ❌ Rollout-level checking | Budget checked after adding tool results | +| **Q3: Train on partial** | ❌ No partial tokens - episode ends with `reward=0.0` | Clean termination before next generation | +| **Q4: Ref model timing** | After filter, before training, **only for kept episodes** | KL penalty computed in `prepare_minibatch()` | + +--- + +## Verifiers + +### Repository +`/home/felipemello/forge/verifiers/` + +### Q1: Variable Group Sizes + +**Answer: ✅ Continue with fewer episodes - dynamic advantage computation** + +**Code Evidence:** + +**File:** `verifiers/rl/trainer/orchestrator.py` (lines 251-262) +```python +# Compute advantages per prompt group +for prompt_idx in range(prompts_in_batch): + group_indices = [ + prompt_idx + k * prompts_in_batch + for k in range(self.rollouts_per_example) + if (prompt_idx + k * prompts_in_batch) < len(rewards) # ← Allows partial groups + ] + if not group_indices: + continue + + group = [rewards[i] for i in group_indices] + gmean = sum(group) / float(len(group)) # ← Divides by actual group size + + for idx, r in zip(group_indices, group): + advantages[idx] = r - gmean +``` + +**Key insight:** The condition `if (prompt_idx + k * prompts_in_batch) < len(rewards)` allows groups to have **fewer than `rollouts_per_example` episodes**. Advantages are computed as `r - gmean` where `gmean = sum(group) / float(len(group))`, dynamically adjusting to actual group size. + +**Batching:** + +**File:** `verifiers/rl/trainer/orchestrator.py` (lines 316-359) +```python +# Convert to microbatches +for mb_idx in range(num_microbatches): + start_idx = mb_idx * microbatch_size + end_idx = min((mb_idx + 1) * microbatch_size, len(all_prompt_ids)) + + microbatch = { + "prompt_ids": all_prompt_ids[start_idx:end_idx], + "completion_ids": all_completion_ids[start_idx:end_idx], + "advantages": torch.tensor(advantages[start_idx:end_idx]), + # ... + } + microbatches.append(microbatch) +``` + +**Variable sizes handled by slicing** - each microbatch can have different sizes if total episodes don't divide evenly. + +**Padding in trainer:** + +**File:** `verifiers/rl/trainer/trainer.py` (lines 171-189) +```python +def pad(self, batch: dict) -> dict: + """Pad sequences to max length in batch""" + prompt_ids = batch["prompt_ids"] + completion_ids = batch["completion_ids"] + + # Find max lengths + max_prompt_len = max(len(p) for p in prompt_ids) + max_completion_len = max(len(c) for c in completion_ids) + + # Right-pad with pad_token_id + padded_prompts = [p + [self.pad_token_id] * (max_prompt_len - len(p)) for p in prompt_ids] + padded_completions = [c + [self.pad_token_id] * (max_completion_len - len(c)) for c in completion_ids] + + # ... +``` + +**Conclusion:** Verifiers explicitly handles variable group sizes and uses dynamic padding for variable-length sequences. + +--- + +### Q2: Dataset Filtering vs Rollout Checking + +**Answer: Rollout-level checking - budget enforced during generation** + +**Code Evidence:** + +**File:** `verifiers/envs/environment.py` (lines 964-998) - Truncation during rollout + +```python +# Process each response +for idx, response in enumerate(state["responses"]): + # ... extract prompt_ids, completion_ids ... + + # CHECK BUDGET (ROLLOUT-LEVEL) + is_truncated = False + if max_seq_len > 0 and len(prompt_ids) + len(completion_ids) > max_seq_len: + # Truncate prompt if it alone exceeds budget + if len(prompt_ids) > max_seq_len: + prompt_ids = prompt_ids[:max_seq_len] + prompt_mask = prompt_mask[:max_seq_len] + + # Truncate completion to fit remaining budget + completion_ids = completion_ids[: max_seq_len - len(prompt_ids)] + completion_mask = completion_mask[: max_seq_len - len(prompt_ids)] + completion_logprobs = completion_logprobs[: max_seq_len - len(prompt_ids)] + is_truncated = True + + # Apply masking/zeroing based on config + if is_truncated and mask_truncated_completions: + completion_mask = [0] * len(completion_ids) # ← Masks all completion tokens + + # ... later ... + if zero_truncated_completions and is_truncated: + all_rewards.append(0) # ← Sets reward to 0 + all_is_truncated.append(True) + else: + all_rewards.append(reward) + all_is_truncated.append(False) +``` + +**No dataset-level filtering.** Budget is checked **during rollout** after each response is generated. + +**Conclusion:** Verifiers does NOT filter at dataset level. It checks budget during rollout and hard-truncates sequences at `max_seq_len`. + +--- + +### Q3: Train on Partial Tokens - What Does "Masked" Mean? + +**Answer: By default, train on partial tokens. With config flags, mask or zero-reward truncated episodes.** + +**Code Evidence:** + +**Truncation logic (from Q2 above):** +- Hard-truncate at `max_seq_len`: `completion_ids = completion_ids[: max_seq_len - len(prompt_ids)]` +- This creates partial tokens (e.g., "STA" if "STAND" was truncated) + +**Two configuration options:** + +**File:** `verifiers/rl/trainer/config.py` (lines 118-129) +```python +@dataclass +class GRPOTrainerConfig: + # ... + mask_truncated_completions: bool = False + # When True: Sets completion_mask = [0] * len(completion_ids) + # Effect: Excludes truncated tokens from loss calculation + + zero_truncated_completions: bool = False + # When True: Sets reward = 0 for truncated episodes + # Effect: Episode trains with negative advantage (if other episodes have positive rewards) +``` + +**File:** `verifiers/envs/environment.py` (lines 983-994) +```python +if is_truncated and mask_truncated_completions: + completion_mask = [0] * len(completion_ids) # ← Zero mask for all tokens + +# ... later ... +if zero_truncated_completions and is_truncated: + all_rewards.append(0) # ← Zero reward + all_is_truncated.append(True) +else: + all_rewards.append(reward) + all_is_truncated.append(False) +``` + +**Behavior:** + +| Setting | Partial tokens (e.g., "STA") in batch? | Gradient computed? | Reward | +|---------|----------------------------------------|--------------------|--------| +| Both `False` (default) | ✅ Yes | ✅ Yes - trains on "S", "T", "A" | Original reward | +| `mask_truncated_completions=True` | ✅ Yes | ❌ No - `completion_mask=0` | Original reward (but no gradient) | +| `zero_truncated_completions=True` | ✅ Yes | ✅ Yes | `reward=0` (negative advantage) | + +**Documentation:** + +**File:** `verifiers/docs/training.md` (lines 69-70) +```toml +mask_truncated_completions = false +zero_truncated_completions = true +``` + +Recommended config: keep masked tokens in batch, but zero their rewards. + +**Conclusion:** By default, Verifiers **trains on partial tokens**. With config flags, it can mask (zero gradient) or zero-reward truncated episodes while keeping them in the batch. + +--- + +### Q4: Reference Model Timing + +**Answer: No separate reference model - uses vLLM sampling logprobs** + +**Code Evidence:** + +**File:** `verifiers/rl/trainer/orchestrator.py` (lines 221-228) - Generation with logprobs + +```python +# Generate with vLLM (includes logprobs in response) +env_results = await self.env.a_generate( + repeated_ds, + client=self.client, + model=self.model_name, + sampling_args=self.sampling_args, # ← Includes logprobs=True + score_rollouts=True, + max_concurrent=self.max_concurrent, +) +``` + +**File:** `verifiers/rl/trainer/config.py` (lines 307-324) - Sampling args config + +```python +self.sampling_args = { + "temperature": self.temperature, + "top_p": self.top_p, + "max_tokens": self.max_tokens or self.max_seq_len, + "n": 1, + "logprobs": True, # ← Request logprobs during generation + "extra_body": { + "return_tokens_as_token_ids": True, + }, +} +``` + +**vLLM returns logprobs during generation**, which are stored in `state["responses"]` and used as "reference logprobs". + +**Training with importance sampling:** + +**File:** `verifiers/rl/trainer/trainer.py` (lines 241-262) - Loss computation + +```python +def compute_loss( + self, + batch: dict, + trainer_logprobs: torch.Tensor, + inference_logprobs: torch.Tensor, # ← From vLLM generation +) -> tuple[torch.Tensor, dict]: + """ + Compute GRPO loss with importance sampling + """ + advantages = batch["advantages"] + completion_mask = batch["completion_mask"] + + # Importance ratio: current policy vs inference policy + log_importance_ratio = trainer_logprobs - inference_logprobs + # ^^^^ inference_logprobs are the "reference" (from sampling time) + + # GRPO loss (similar to PPO) + # ... +``` + +**No separate reference model forward pass.** The "reference" is the policy at the time of sampling, whose logprobs are captured by vLLM. + +**Exact flow:** +``` +1. rollout (vLLM with logprobs=True) → captures inference_logprobs +2. score rollout → compute rewards +3. process_env_results_vllm → apply truncation masks/rewards +4. create microbatches (all episodes, including masked ones) +5. trainer.forward() → compute trainer_logprobs (current policy) +6. compute_loss(trainer_logprobs, inference_logprobs) → importance sampling +``` + +**Conclusion:** Verifiers does NOT have a separate reference model call. It uses vLLM's sampling logprobs as the reference for importance sampling. + +--- + +### Verifiers Summary + +| Question | Answer | Key Mechanism | +|----------|--------|---------------| +| **Q1: Variable groups** | ✅ Continue with fewer - dynamic advantage computation | `gmean = sum(group) / float(len(group))` | +| **Q2: Dataset filtering** | ❌ Rollout-level checking | Hard-truncate at `max_seq_len` during generation | +| **Q3: Train on partial** | ✅ Yes by default, mask/zero-reward if config enabled | `completion_mask=0` or `reward=0` for truncated | +| **Q4: Ref model timing** | N/A - no separate ref model | Uses vLLM sampling logprobs for importance sampling | + +--- + +## Cross-Library Comparison + +### Q1: Variable Group Sizes + +| Library | Continue with Fewer? | Resample to Exact Size? | Filter at Dataset? | Batching Strategy | +|---------|---------------------|------------------------|--------------------|-------------------| +| **TRL** | ❌ No - assumes fixed | ❌ No | ❌ No | Fixed batch size, `.view(-1, num_gen)` breaks with variable | +| **VERL** | ✅ Yes | ❌ No | ❌ No | Variable batch size, sequence balancing by token count | +| **NeMo-RL** | ✅ Yes (standard) | ✅ Yes (dynamic mode) | ❌ No | Fixed batch size (via resampling or fixed repetition) | +| **Tinker** | ✅ Yes | ❌ No | ❌ No | Variable batch size, explicit "train on smaller batch" | +| **Verifiers** | ✅ Yes | ❌ No | ❌ No | Variable batch size, dynamic padding | + +**Majority pattern:** Continue with fewer episodes (4/5 libraries) + +**Exception:** TRL assumes fixed size and will crash with variable groups + +--- + +### Q2: Dataset Filtering vs Rollout Checking + +| Library | Dataset Filtering? | Rollout Checking? | When is Budget Checked? | +|---------|-------------------|-------------------|------------------------| +| **TRL** | ❌ No | ⚠️ Partial (post-generation) | After generation, checks if last token is EOS | +| **VERL** | ❌ No | ✅ Yes | Before each turn, checks `len(response_mask) >= response_length` | +| **NeMo-RL** | ❌ No | ✅ Yes | After each turn, truncates env observation to fit budget | +| **Tinker** | ❌ No | ✅ Yes | After adding tool results, checks `observation.length > max_trajectory_tokens` | +| **Verifiers** | ❌ No | ✅ Yes | During generation, hard-truncates at `max_seq_len` | + +**Unanimous:** **No dataset filtering** - all libraries check budget during rollout + +**Reasoning:** Prompts grow during multi-turn rollouts (tool results, game state), so initial prompt length doesn't predict final length + +--- + +### Q3: Train on Partial Tokens + +| Library | Generates Partial Tokens? | Default Behavior | Masking Option? | How Masking Works | +|---------|--------------------------|------------------|-----------------|-------------------| +| **TRL** | ✅ Yes (e.g., "STA") | Train on partial | ✅ `mask_truncated_completions` | `completion_mask=0` → zero gradient | +| **VERL** | ❌ No - clean termination | N/A | ❌ N/A | Terminates before generating partial tokens | +| **NeMo-RL** | ❌ No - truncates env response | Train on full generation | ✅ `overlong_filtering` | `loss_multiplier=0` → zero gradient | +| **Tinker** | ❌ No - episode ends | Penalty via `reward=0.0` | ❌ No | No masking, just low reward | +| **Verifiers** | ✅ Yes (hard-truncated) | Train on partial | ✅ `mask_truncated_completions` | `completion_mask=0` → zero gradient | + +**Key insight:** "Masked" means **zero gradient** (via `completion_mask=0` or `loss_multiplier=0`), NOT excluded from batch + +**Clarification for user's Q3:** +- **"Train on partial tokens by default"**: TRL and Verifiers generate "STA" and compute gradients on it +- **"All of them mask"**: Libraries that generate partial tokens offer CONFIG OPTIONS to zero gradients +- **Default vs optional**: Most libraries train on partial by default, but allow masking via config + +--- + +### Q4: Reference Model Timing + +| Library | Flow | Ref Model Called for All Episodes? | Ref Model Called for Dropped Episodes? | +|---------|------|-------------------------------------|----------------------------------------| +| **TRL** | rollout → mask → **ref** → buffer | ✅ Yes | ✅ Yes (mask only affects gradient) | +| **VERL** | rollout → **ref** → train | ✅ Yes | N/A (no dropping) | +| **NeMo-RL** | rollout → filter → **ref** → train | ❌ No - only kept | ❌ No - skips if `is_batch_complete=False` | +| **Tinker** | rollout → filter → **ref** → train | ❌ No - only kept | ❌ No - filtered return `None` | +| **Verifiers** | rollout (captures logprobs) → train | N/A - no separate ref model | N/A | + +**Two patterns:** +1. **TRL/VERL**: Compute ref_model for ALL episodes, masking/filtering affects only gradients +2. **NeMo-RL/Tinker**: Filter first, compute ref_model only for kept episodes (more efficient) + +--- + +## Discussion & Design Decisions + +### User's Questions & Answers + +--- + +#### **Q1: Variable Group Sizes - "I'm afraid of dynamic batch sizes for compile"** + +**Answer: You can maintain fixed batch sizes for training while handling variable rollout sizes** + +**Evidence:** +- **TRL**: Pads all sequences to fixed dimensions (`max_completion_length`), so training batch is always fixed shape +- **NeMo-RL**: Uses dynamic sampling to resample until exactly `num_prompts * num_generations` episodes, maintaining fixed training batch size +- **VERL/Tinker/Verifiers**: Use variable batch sizes, but rely on padding/masking for fixed tensor shapes + +**Recommendation for blackjack:** + +```python +# Option A: Pad to fixed size (like TRL) +async def continuous_rollouts(tokenizer, pad_id): + GROUP_SIZE = cfg.group_size # e.g., 16 + + while not shutdown_event.is_set(): + episodes = [] + for game_idx in range(GROUP_SIZE): + episode = await play_game(...) + episodes.append(episode) + + # Filter invalid episodes + valid_episodes = [ + e for e in episodes + if not (e.is_truncated and not cfg.grpo.include_truncated_in_buffer) + ] + + if len(valid_episodes) < GROUP_SIZE: + # Pad with dummy episodes (zero loss_multiplier) + dummy_episode = create_dummy_episode(pad_id) + dummy_episode.loss_multiplier = 0 # No gradient + while len(valid_episodes) < GROUP_SIZE: + valid_episodes.append(dummy_episode) + + # Now valid_episodes is always exactly GROUP_SIZE + # Compute ref_logprobs, advantages, etc. +``` + +**Or simpler: Just continue with fewer episodes (like Tinker)** + +Most libraries handle variable sizes fine. Compilation works with dynamic shapes in modern PyTorch (2.0+). + +--- + +#### **Q2: Dataset Filtering - "Should we filter prompts > max_seq_len at dataset level?"** + +**Answer: No - all libraries check at rollout level** + +**Reasoning:** +1. **Multi-turn growth**: Initial prompt might be 500 tokens, but after 3 tool calls it's 2000 tokens +2. **Wasted filtering**: If you filter at dataset level, you'd drop potentially valid prompts that happen to have long initial messages but few turns +3. **Uniform pattern**: ALL 5 libraries check budget during rollout, NONE filter at dataset + +**For blackjack:** +- Initial prompt is small (~100 tokens for system message) +- Grows turn-by-turn with game state +- **Don't filter at dataset level** +- Check budget before each generation in `play_game()` + +**However:** You can add a **sanity check** to warn if initial prompts are unreasonably large: + +```python +# In play_game() +prompt_text = tokenizer.apply_chat_template(messages, ...) +prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) + +if len(prompt_tokens) >= max_seq_len: + logger.warning(f"Initial prompt ({len(prompt_tokens)} tokens) exceeds max_seq_len ({max_seq_len})") + record_metric("episode/initial_prompt_too_large", 1, Reduce.MEAN) + # Return truncated episode (don't crash) + return Episode(is_truncated=True, truncation_reason="initial_prompt_exceeds_budget", ...) +``` + +--- + +#### **Q3: "They train on partial tokens but also mask. What's happening?"** + +**Answer: "Masked" = zero gradient, NOT excluded from batch** + +**Clarification:** + +| Config | Partial Tokens in Batch? | Forward Pass Computed? | Gradient Computed? | +|--------|-------------------------|------------------------|-------------------| +| **Default** (no masking) | ✅ Yes ("STA") | ✅ Yes | ✅ Yes - trains on "STA" | +| **With masking** | ✅ Yes ("STA") | ✅ Yes | ❌ No - `completion_mask=0` zeros gradient | + +**Example from TRL:** +```python +# Batch contains: ["STAND", "HIT", "STA"] # "STA" is truncated +completion_mask = torch.tensor([[1,1,1,1,1], [1,1,1], [1,1,1]]) # Default: all 1s + +if mask_truncated_completions: + is_truncated = [False, False, True] + completion_mask = completion_mask * (~is_truncated).unsqueeze(1) + # Result: [[1,1,1,1,1], [1,1,1], [0,0,0]] # "STA" tokens masked to 0 + +# Loss computation +masked_loss = per_token_loss * completion_mask +# "STA" tokens contribute zero to loss (but are still in batch) +``` + +**Summary:** +- **"Train on partial"** = partial tokens go through forward pass and loss computation +- **"Masked"** = their loss contribution is multiplied by 0 (no gradient) +- They still occupy space in the batch, still go through ref_model, etc. + +--- + +#### **Q4: User's Proposed Flow - "Set reward, run ref_model, compute advantages, then decide buffer"** + +**Answer: Two valid patterns - recommend Tinker/NeMo-RL (filter first, then ref_model)** + +**User's proposed flow:** +``` +rollout → set reward → ref_model → compute advantages → buffer decision +``` + +**This matches TRL/VERL** - compute ref_model for ALL episodes, including ones that might be dropped. + +**Alternative (Tinker/NeMo-RL):** +``` +rollout → set reward → filter → ref_model (only kept) → compute advantages → add to buffer +``` + +**Pros/cons:** + +| Approach | Pros | Cons | +|----------|------|------| +| **Ref_model for all** (TRL/VERL) | Simpler code, no filtering logic | Wastes computation on episodes you'll drop | +| **Ref_model for kept** (Tinker/NeMo-RL) | More efficient (skip ref_model for dropped) | Slightly more complex (need to filter first) | + +**Recommendation:** Use **filter-first approach** (Tinker/NeMo-RL) for efficiency: + +```python +# In continuous_rollouts() +episodes = [] +for game_idx in range(group_size): + episode = await play_game(...) + episodes.append(episode) + +# Filter BEFORE ref_model +valid_episodes = [ + e for e in episodes + if not e.is_truncated or cfg.grpo.include_truncated_in_buffer +] + +if not valid_episodes: + continue # No valid episodes, skip entire rollout + +# Compute ref_logprobs ONLY for valid episodes +# (pad to max_len, batch together) +max_len = max(len(e.all_token_ids) for e in valid_episodes) +padded_tokens = [] +for episode in valid_episodes: + seq_len = len(episode.all_token_ids) + pad_len = max_len - seq_len + padded = F.pad(episode.all_token_ids, (0, pad_len), value=pad_id) + padded_tokens.append(padded) + +input_ids = torch.stack(padded_tokens) +ref_logprobs = await ref_model.forward.route(input_ids, 0, return_logprobs=True) + +# Unpad and assign +for i, episode in enumerate(valid_episodes): + seq_len = len(episode.all_token_ids) + episode.ref_logprobs = ref_logprobs[i, :seq_len] + +# Compute advantages +advantages = await compute_advantages.compute.call_one(valid_episodes) +for episode, advantage in zip(valid_episodes, advantages): + episode.advantage = advantage + await replay_buffer.add.call_one(episode) +``` + +This skips ref_model for dropped episodes, saving computation. + +--- + +## Blackjack Implementation + +Based on the library investigation, here's the recommended implementation for blackjack. + +--- + +### Configuration + +**File:** `apps/blackjack/qwen3_1_7b.yaml` + +```yaml +blackjack_env: + server_url: "http://localhost:8004" + server_port: 8004 + game_name: "blackjack" + model: "Qwen/Qwen3-1.7B" + max_seq_len: 2048 # Episode-level budget (all turns) + max_turns: 10 # Hard limit on turns per episode + +grpo: + group_size: 16 # Number of games per group + include_truncated_in_buffer: false # Drop truncated episodes (configurable) + +policy: + engine_args: + enable_prefix_caching: true # Critical for multi-turn (2-3x speedup) + max_model_len: 4096 # vLLM model context limit +``` + +--- + +### Episode Class + +**File:** `apps/blackjack/episode.py` (new file) + +```python +from dataclasses import dataclass, field +from typing import Any +import torch + + +@dataclass +class Episode: + """ + Episode data for GRPO training with multi-turn support. + + For blackjack (multi-turn game, single episode): + - all_token_ids: [prompt1, resp1, prompt2, resp2, ...] + - response_mask: [0, 0, ..., 1, 1, ..., 0, 0, ..., 1, 1, ...] + [ prompt1 ][ resp1 ][ prompt2 ][ resp2 ] + - reward: Final game outcome (win/loss/push) + + One episode = one complete game with all turns. + """ + + # ============ Core Identifiers ============ + episode_id: str + task_name: str | None = None # e.g., "blackjack" + + # ============ Policy Version (for replay buffer eviction) ============ + generator_version: int = 0 + is_truncated: bool = False # Hit max_seq_len or max_turns + truncation_reason: str | None = None # "max_seq_len", "initial_prompt_exceeds_budget", "max_turns" + + # ============ Token Data ============ + all_token_ids: torch.Tensor # Shape: (seq_len,) + logprobs: torch.Tensor # Shape: (seq_len,) + response_mask: torch.Tensor # Shape: (seq_len,) + # 1.0 = train on this token (response) + # 0.0 = skip this token (prompt) + + # ============ Rewards & Training ============ + reward: float | None = None + advantage: float | None = None + ref_logprobs: torch.Tensor | None = None # Shape: (seq_len,) + + # ============ Metadata ============ + metadata: dict[str, Any] = field(default_factory=dict) + # Suggested fields: + # - num_turns: int + # - game_id: str + # - env_reward: float (raw from environment) + + # ============ Optional Debugging ============ + message_log: list[dict[str, Any]] | None = None + # OpenAI-compatible messages for debugging/analysis + + +# Type alias for GRPO groups +Group = list[Episode] +``` + +--- + +### Unified Action Parser + +**File:** `apps/blackjack/main.py` + +```python +def parse_action(response_text: str) -> str: + """ + Parse action from model's text response. + + Returns: + "HIT", "STAND", or "INVALID" + + Note: + INVALID actions default to STAND in play_game(). + """ + text_lower = response_text.lower().strip() + + if text_lower.endswith("hit"): + return "HIT" + elif text_lower.endswith("stand"): + return "STAND" + else: + return "INVALID" +``` + +--- + +### Reward Calculation + +**File:** `apps/blackjack/main.py` + +```python +def calculate_reward(env_reward: float) -> float: + """ + Reward structure: + - Win: +3 + - Else: -1 + + Args: + env_reward: Raw environment reward (+1 win, 0 push, -1 loss) + + Returns: + Final shaped reward for training + """ + if env_reward > 0: # Win + return 3.0 + else: # Loss or push + return -1.0 +``` + +--- + +### Multi-Turn Game Rollout + +**File:** `apps/blackjack/main.py` + +```python +async def play_game( + game_idx: int, + game_id: str, + server_url: str, + policy: Generator, + tokenizer, + pad_id: int, + max_seq_len: int = 2048, + max_turns: int = 10, + rollout_count: int = 0, +) -> Episode: + """ + Play a single blackjack game and return ONE episode with all turns. + + Key changes from single-turn: + - Formats messages each turn (not once at start) + - Tracks episode-level budget (max_seq_len) + - Returns single Episode with concatenated tokens + - Includes response_mask for training + + Returns: + Episode with all turns concatenated + """ + env = OpenSpielEnv(base_url=server_url) + env._http.trust_env = False + + print(f"\n🎮 GAME {game_idx + 1} (Rollout #{rollout_count + 1}) - ID: {game_id}") + + # Initialize message history + messages = [ + { + "role": "system", + "content": "You are an expert BlackJack player. Analyze the game state and output only 'HIT' or 'STAND'.", + } + ] + + # Track all tokens and masks across all turns + all_tokens = [] + all_logprobs = [] + response_mask = [] + + # Track for truncation + is_truncated = False + truncation_reason = None + + try: + result = env.reset() + obs = result.observation + done = False + turn_num = 0 + + while not done and turn_num < max_turns: + # Add user message with current game state + player_total = obs.metadata.get("player_total", "?") + dealer_card = obs.metadata.get("dealer_card", "?") + dealer_str = "Ace" if dealer_card == 1 else str(dealer_card) + + state_desc = f"=== BlackJack Game (Turn {turn_num + 1}) ===\n\n" + state_desc += "Current State:\n" + state_desc += f" Your hand total: {player_total}\n" + state_desc += f" Dealer shows: {dealer_str}\n" + state_desc += f" Legal actions: HIT, STAND\n\n" + state_desc += "What do you do? Output only 'HIT' or 'STAND'." + + messages.append({"role": "user", "content": state_desc}) + + # Format prompt from full message history + prompt_text = tokenizer.apply_chat_template( + messages, add_generation_prompt=True, tokenize=False + ) + + # Encode to check budget (ROLLOUT-LEVEL CHECK, following all libraries) + prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) + + # Check if prompt exceeds budget (like VERL/Tinker/NeMo-RL) + if len(prompt_tokens) >= max_seq_len: + is_truncated = True + truncation_reason = "max_seq_len" + record_metric("episode/terminated_budget_exceeded", 1, Reduce.MEAN) + print(f" [TRUNCATED] Prompt length {len(prompt_tokens)} >= {max_seq_len}") + break + + # Calculate remaining budget for this turn + remaining = max_seq_len - len(prompt_tokens) + + # Safety check (like NeMo-RL) + if remaining <= 0: + is_truncated = True + truncation_reason = "zero_budget" + record_metric("episode/terminated_zero_budget", 1, Reduce.MEAN) + break + + # Generate with remaining budget + try: + responses = await asyncio.wait_for( + policy.generate.route( + [prompt_text], sampling_params={"max_tokens": remaining} + ), + timeout=60.0, + ) + except asyncio.TimeoutError: + print(f"[ERROR] Policy generation timed out for {game_id} at turn {turn_num}") + raise + + response = responses[0] + + # Check if generation was cut off (like TRL/Verifiers) + if response.stop_reason == "length": + is_truncated = True + truncation_reason = "generation_length" + record_metric("episode/generation_truncated", 1, Reduce.MEAN) + print(f" [TRUNCATED] Generation hit max_tokens={remaining}") + # Note: We continue to parse and execute, but mark episode as truncated + # This follows VERL's pattern (but VERL terminates cleanly, we don't generate partial) + + # Accumulate tokens and build response mask + all_tokens.extend(prompt_tokens) + all_tokens.extend(response.token_ids) + response_mask.extend([0] * len(prompt_tokens)) # Don't train on prompts + response_mask.extend([1] * len(response.token_ids)) # Train on responses + all_logprobs.extend([0.0] * len(prompt_tokens)) + all_logprobs.extend(response.logprobs) + + # Parse action + action_name = parse_action(response.text) + + # Add assistant response to message history + messages.append({"role": "assistant", "content": response.text}) + + if action_name == "INVALID": + action_name = "STAND" # Fallback + action_id = 1 + elif action_name == "HIT": + action_id = 0 + elif action_name == "STAND": + action_id = 1 + + # Execute action + result = env.step(OpenSpielAction(action_id=action_id, game_name="blackjack")) + obs = result.observation + done = result.done + + turn_num += 1 + + # Check if hit max_turns + if turn_num >= max_turns and not done: + is_truncated = True + truncation_reason = "max_turns" + record_metric("episode/hit_max_turns", 1, Reduce.MEAN) + + # Get final game outcome + final_game_reward = result.reward + + outcome_text = ( + "WIN" if final_game_reward > 0 else ("LOSS" if final_game_reward < 0 else "PUSH") + ) + print(f" Result: {outcome_text} (reward={final_game_reward}, turns={turn_num})") + + # Calculate final reward + reward = calculate_reward(env_reward=final_game_reward) + + # Metrics + record_metric("reward/env_reward", final_game_reward, Reduce.MEAN) + record_metric("reward/final_reward", reward, Reduce.MEAN) + record_metric("game/total_games_played", 1, Reduce.SUM) + record_metric("game/average_game_length_in_turns", turn_num, Reduce.MEAN) + record_metric("game/win_rate", 1 if final_game_reward > 0 else 0, Reduce.MEAN) + + # Create episode + episode = Episode( + episode_id=str(uuid.uuid4()), + task_name="blackjack", + generator_version=0, # TODO: Get from policy + is_truncated=is_truncated, + truncation_reason=truncation_reason, + all_token_ids=torch.tensor(all_tokens, dtype=torch.long), + logprobs=torch.tensor(all_logprobs, dtype=torch.float), + response_mask=torch.tensor(response_mask, dtype=torch.float), + reward=reward, + advantage=None, # Computed later + ref_logprobs=None, # Computed later + message_log=messages, + metadata={ + "num_turns": turn_num, + "game_id": game_id, + "env_reward": final_game_reward, + }, + ) + + return episode + + except Exception as e: + print(f"[ERROR] play_game {game_id} failed with {type(e).__name__}: {e}") + import traceback + + traceback.print_exc() + raise + finally: + env.close() +``` + +--- + +### Continuous Rollouts + +**File:** `apps/blackjack/main.py` + +Following **Tinker/NeMo-RL pattern** - filter first, then compute ref_model only for kept episodes. + +```python +async def continuous_rollouts(tokenizer, pad_id): + """ + Continuous rollout loop following Tinker/NeMo-RL pattern: + 1. Generate episodes + 2. Filter invalid/truncated (if config) + 3. Compute ref_logprobs ONLY for kept episodes + 4. Compute advantages + 5. Add to buffer + """ + rollout_count = 0 + server_url = cfg.blackjack_env.get("server_url", "http://localhost:8004") + max_seq_len = cfg.blackjack_env.get("max_seq_len", 2048) + max_turns = cfg.blackjack_env.get("max_turns", 10) + group_size = cfg.grpo.get("group_size", 16) + include_truncated = cfg.grpo.get("include_truncated_in_buffer", False) + + while not shutdown_event.is_set(): + t = Tracer("main_perf/continuous_rollouts") + t.start() + + # Step 1: Generate group_size games + episodes = [] + for game_idx in range(group_size): + game_id = str(uuid.uuid4())[:8] + episode = await play_game( + game_idx=game_idx, + game_id=game_id, + server_url=server_url, + policy=policy, + tokenizer=tokenizer, + pad_id=pad_id, + max_seq_len=max_seq_len, + max_turns=max_turns, + rollout_count=rollout_count, + ) + episodes.append(episode) + + t.step("play_games") + + # Metrics + record_metric("rollout/episodes_generated", len(episodes), Reduce.SUM) + + # Step 2: Filter BEFORE ref_model (Tinker/NeMo-RL approach - more efficient) + valid_episodes = [ + e for e in episodes if not e.is_truncated or include_truncated + ] + + if not valid_episodes: + print(f"[WARNING] No valid episodes in rollout {rollout_count}, skipping") + record_metric("rollout/rollouts_with_no_valid_episodes", 1, Reduce.SUM) + rollout_count += 1 + continue + + record_metric("rollout/episodes_kept", len(valid_episodes), Reduce.SUM) + record_metric("rollout/episodes_dropped", len(episodes) - len(valid_episodes), Reduce.SUM) + + # Step 3: Compute ref_logprobs ONLY for valid episodes + # Pad episodes to same length for batching + max_len = max(len(e.all_token_ids) for e in valid_episodes) + padded_tokens = [] + for episode in valid_episodes: + seq_len = len(episode.all_token_ids) + pad_len = max_len - seq_len + padded = F.pad(episode.all_token_ids, (0, pad_len), value=pad_id) + padded_tokens.append(padded) + + input_ids = torch.stack(padded_tokens) # [num_valid_episodes, max_len] + + # Get reference logprobs + ref_logprobs = await ref_model.forward.route( + input_ids, 0, return_logprobs=True # 0 = no separate prompt (mask handles it) + ) + t.step("reference_model_calculate_logprobs") + + # Assign ref_logprobs to episodes (unpad) + for i, episode in enumerate(valid_episodes): + seq_len = len(episode.all_token_ids) + episode.ref_logprobs = ref_logprobs[i, :seq_len] # Unpad + + del ref_logprobs, input_ids + + # Step 4: Compute advantages + advantages = await compute_advantages.compute.call_one(valid_episodes) + t.step("compute_advantages") + + # Step 5: Add to buffer + for episode, advantage in zip(valid_episodes, advantages): + episode.advantage = advantage + await replay_buffer.add.call_one(episode) + + rollout_count += 1 + record_metric("main/continuous_rollouts/count_rollout_iterations", 1, Reduce.SUM) + t.stop() +``` + +--- + +### Collate Function + +**File:** `apps/blackjack/main.py` + +```python +def collate(batches: list[Group]) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: + """ + Collates episodes into batches with dynamic padding. + + Each episode has variable length (different number of turns). + Handles variable-length episodes like VERL/Tinker/Verifiers. + """ + inputs = [] + targets = [] + + for batch in batches: + # Find max length in this batch + max_len = max(len(e.all_token_ids) for e in batch) + pad_id = 0 # Will be set via F.pad value parameter + + all_token_ids = [] + logprobs_list = [] + ref_logprobs_list = [] + advantages_list = [] + masks = [] + + for e in batch: + seq_len = len(e.all_token_ids) + pad_len = max_len - seq_len + + # Right-pad tokens + padded_tokens = F.pad(e.all_token_ids, (0, pad_len), value=pad_id) + all_token_ids.append(padded_tokens) + + # Right-pad response_mask (0 for padding) + padded_mask = F.pad(e.response_mask, (0, pad_len), value=0) + masks.append(padded_mask) + + # Pad logprobs + padded_logprobs = F.pad(e.logprobs, (0, pad_len), value=0) + logprobs_list.append(padded_logprobs) + + # Pad ref_logprobs + padded_ref = F.pad(e.ref_logprobs, (0, pad_len), value=0) + ref_logprobs_list.append(padded_ref) + + advantages_list.append(e.advantage) + + input = {"tokens": torch.stack(all_token_ids)} + target = { + "response": torch.stack(all_token_ids), # Full sequence + "ref_logprobs": torch.stack(ref_logprobs_list), + "advantages": torch.tensor(advantages_list).unsqueeze(-1), + "padding_mask": torch.stack(masks), # Combined response + padding mask + } + + inputs.append(input) + targets.append(target) + + return inputs, targets +``` + +--- + +### Main Setup + +**File:** `apps/blackjack/main.py` + +```python +async def main(cfg: DictConfig): + """Main GRPO training loop with rollout and training processes.""" + group_size = cfg.grpo.group_size + max_req_tokens = cfg.max_req_tokens # Deprecated, but keep for compatibility + max_res_tokens = cfg.max_res_tokens # Deprecated, but keep for compatibility + + # ---- Start OpenSpiel Server ---- # + # ... (same as before) ... + + # ---- Global setups ---- # + # ... (same as before) ... + + # ---- Setup services ---- # + ( + policy, + trainer, + replay_buffer, + compute_advantages, + ref_model, + ) = await asyncio.gather( + Policy.options(**cfg.services.policy).as_service(**cfg.policy), + TitanTrainer.options(**cfg.actors.trainer).as_actor(**cfg.trainer, loss=simple_grpo_loss), + ReplayBuffer.options(**cfg.actors.replay_buffer).as_actor(**cfg.replay_buffer, collate=collate), + ComputeAdvantages.options(**cfg.actors.compute_advantages).as_actor(), + ReferenceModel.options(**cfg.services.ref_model).as_service(**cfg.ref_model), + ) + + # Get tokenizer for rollout loop (following VERL/NeMo-RL/Tinker pattern) + from vllm.transformers_utils.tokenizer import get_tokenizer + + tokenizer = get_tokenizer(cfg.blackjack_env.model) + pad_id = tokenizer.pad_token_id if tokenizer.pad_token_id is not None else tokenizer.eos_token_id + + print("All services initialized successfully!") + + # ... (rest of main setup) ... + + # ---- Core RL loops ---- # + num_rollout_threads = cfg.get("rollout_threads", 1) + num_training_threads = cfg.get("training_threads", 1) + + print(f"Starting GRPO with {num_rollout_threads} rollout threads, {num_training_threads} training threads") + + rollout_tasks = [ + asyncio.create_task(continuous_rollouts(tokenizer, pad_id)) + for _ in range(num_rollout_threads) + ] + training_task = asyncio.create_task(continuous_training()) + + try: + await training_task + except KeyboardInterrupt: + print("Training interrupted by user") + finally: + # ... (shutdown logic same as before) ... +``` + +--- + +## Summary & Recommendations + +### Key Findings + +1. **Variable group sizes**: + - **Majority (4/5)** continue with fewer episodes + - **TRL** breaks with variable sizes (assumes fixed) + - **Recommendation**: Continue with fewer (like Tinker), or pad to fixed size if needed for compile + +2. **Dataset filtering**: + - **ALL libraries** check budget at rollout level, NOT dataset level + - **Recommendation**: Check budget during `play_game()`, don't filter at dataset + +3. **Train on partial tokens**: + - **"Masked" = zero gradient**, not excluded from batch + - Libraries either generate partial tokens (TRL/Verifiers) or terminate cleanly (VERL/NeMo-RL/Tinker) + - **Recommendation**: Follow VERL/Tinker - terminate before generating partial tokens + +4. **Reference model timing**: + - **TRL/VERL**: Compute for all episodes + - **NeMo-RL/Tinker**: Filter first, compute only for kept episodes (more efficient) + - **Recommendation**: Follow Tinker/NeMo-RL - filter first, then ref_model + +### Implementation Checklist + +- [x] New Episode class with `all_token_ids`, `response_mask`, `logprobs` +- [x] Unified `parse_action()` function +- [x] Separate `calculate_reward()` function +- [x] Multi-turn `play_game()` with budget tracking +- [x] `continuous_rollouts()` with filter-first pattern +- [x] Variable-length `collate()` function +- [x] Config parameters: `max_seq_len`, `max_turns`, `include_truncated_in_buffer` +- [ ] Remove old Episode class from main.py +- [ ] Remove `BlackJackReward` actor +- [ ] Remove `EnvironmentActor` class +- [ ] Test with single game +- [ ] Test with group_size > 1 +- [ ] Monitor truncation metrics + +--- + +**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation_design_decisions.md b/brainstorming_forge_tau/changes/3_truncation_design_decisions.md new file mode 100644 index 000000000..5171370db --- /dev/null +++ b/brainstorming_forge_tau/changes/3_truncation_design_decisions.md @@ -0,0 +1,534 @@ +# Truncation Handling - Design Decisions for Blackjack (Updated) + +**Date:** 2025-01-16 +**Last Updated:** 2025-01-16 (simplified based on user feedback) +**Context:** Multi-turn blackjack with tool calling - design decisions based on library investigation + +--- + +## Design Questions & Decisions + +### Q1: How to Detect Truncation? + +**Question:** How do we know if vLLM truncated the response due to `max_tokens`? + +**Options:** + +**A) Check if last token is EOS/PAD (TRL approach)** +```python +eos_and_pad = [tokenizer.eos_token_id, tokenizer.pad_token_id] +is_truncated = response.token_ids[-1] not in eos_and_pad +``` + +**B) Check vLLM's `stop_reason` field** +```python +is_truncated = response.stop_reason == "length" +``` + +**C) Track cumulative token budget and flag when exceeded** +```python +cumulative_tokens = len(all_tokens) + len(response.token_ids) +is_truncated = cumulative_tokens >= max_seq_len +``` + +**Decision: Use B (stop_reason) as primary, with C as additional check** + +**Reasoning:** +- `stop_reason == "length"` is explicit and reliable +- Avoids edge cases where model generates EOS but was still truncated +- Additional budget check (C) catches cases where prompt itself is too long +- **Implementation:** + ```python + # After generation + if response.stop_reason == "length": + is_truncated = True + truncation_reason = "generation_length" + + # Also check cumulative budget + if len(all_tokens) >= max_seq_len: + is_truncated = True + truncation_reason = "max_seq_len" + ``` + +--- + +### Q2: What to Do with Truncated Generations? + +**Question:** When a generation is truncated, should we drop it or mask it? + +**Options:** + +**A) Drop the truncated turn entirely (Tinker approach)** +- Remove the partial response from the trajectory +- Episode continues with previous turns intact +- Pros: Clean, no masking confusion +- Cons: Lose partial information + +**B) Keep partial response but mask it (TRL/Verifiers approach)** +- Include partial tokens in batch +- Set `completion_mask = 0` for truncated turn +- Pros: Debugging visibility, no data loss +- Cons: Philosophically weird (rewarded but not trained) + +**Decision: Use A (drop) by default, with B (mask) as config option** + +**Reasoning:** +- Tinker's approach is cleanest for multi-turn +- For blackjack: if model says "HIT" but next turn truncates, we keep the "HIT" turn +- We only drop the INCOMPLETE turn +- **Libraries only use drop or mask - no one trains with gradient on truncated tokens** + +**Implementation:** +```python +# In play_game() +if response.stop_reason == "length": + if cfg.truncation.drop_truncated_generation: + # Don't add this turn to all_tokens/response_mask + # Episode ends here with previous turns intact + is_truncated = True + break + else: + # Add partial tokens but mask them + all_tokens.extend(response.token_ids) + response_mask.extend([0] * len(response.token_ids)) # Mask out + is_truncated = True + break +``` + +**Config:** +```yaml +truncation: + drop_truncated_generation: true # Drop incomplete turn (Tinker approach) + # If false, masks it instead (TRL approach) +``` + +--- + +### Q3: What to Do with Truncated Episodes? + +**Question:** When an episode is truncated (hit max_seq_len or max_turns), should we train on it? + +**Decision: Filter at GRPO loop level with acceptance criteria (not in replay buffer)** + +**Reasoning:** +- Check acceptance BEFORE calling `replay_buffer.add()` to minimize communication +- Acceptance logic stays in GRPO loop, not buried in buffer +- Cleaner separation of concerns + +**Implementation:** +```python +# In continuous_rollouts() - NO FILTERING before ref_model +episodes = [await play_game(...) for _ in range(group_size)] + +# Compute ref_model for ALL episodes +ref_logprobs = await ref_model.forward.route(episodes) + +# Compute advantages for ALL episodes +advantages = await compute_advantages.compute.call_one(episodes) + +# Check acceptance BEFORE adding to buffer (minimize communication) +accepted_episodes = [] +for episode, advantage in zip(episodes, advantages): + episode.advantage = advantage + + # Acceptance criteria (inline, not in replay buffer) + should_accept = True + if episode.is_truncated and not cfg.grpo.accept_truncated: + should_accept = False + record_metric("buffer/rate_rejected_truncated", 1, Reduce.MEAN) + else: + record_metric("buffer/rate_rejected_truncated", 0, Reduce.MEAN) + # Future: Add min_advantage filter here if needed + + if should_accept: + accepted_episodes.append(episode) + +# TODO: Add all episodes at once instead of one by one +for episode in accepted_episodes: + await replay_buffer.add.call_one(episode) +``` + +**Config:** +```yaml +grpo: + accept_truncated: true # Accept truncated episodes (learn from partial success) + # Future: min_advantage, etc. +``` + +--- + +### Q4: Group-Level Filtering? + +**Question:** Should we filter groups before computing advantages? + +**Decision: Drop groups with constant rewards only - keep it simple** + +**Reasoning:** +- If all rewards are identical: std=0, advantages=0/0=NaN → no learning signal +- Simple check: `if len(set(rewards)) == 1: drop group` +- Don't complicate with truncation logic - let acceptance criteria handle that per-episode + +**Implementation:** +```python +# In continuous_rollouts() +# Generate groups (each group is exactly group_size episodes) +all_groups = [] +for group_idx in range(num_groups): + group = [await play_game(...) for _ in range(group_size)] + all_groups.append(group) + +# Filter: Drop groups with constant rewards (no variance = no learning signal) +valid_groups = [] +for group in all_groups: + rewards = [e.reward for e in group] + if len(set(rewards)) > 1: # At least 2 different reward values + valid_groups.append(group) + record_metric("groups/rate_dropped", 0, Reduce.MEAN) # Not dropped + else: + record_metric("groups/rate_dropped", 1, Reduce.MEAN) # Dropped + +if not valid_groups: + continue # Skip this rollout + +# Compute ref_model and advantages for valid groups +# (Groups remain size group_size throughout) +``` + +--- + +### Q5: When to Compute Reference Model? + +**Question:** Should we compute ref_logprobs before or after filtering? + +**Decision: After group filtering, before episode-level acceptance** + +**Reasoning:** +- Filter groups first (constant rewards) to save computation +- Then compute ref_model for all episodes in valid groups +- Episode-level acceptance happens after advantages are computed + +**Implementation:** +```python +# 1. Generate all groups +all_groups = [...] + +# 2. Filter groups FIRST (constant rewards) +valid_groups = [g for g in all_groups if len(set([e.reward for e in g])) > 1] + +# 3. Compute ref_model for all episodes in valid groups +all_valid_episodes = [e for g in valid_groups for e in g] +ref_logprobs = await ref_model.forward.route(all_valid_episodes) + +# 4. Compute advantages per group +for group in valid_groups: + advantages = compute_group_advantages(group) + +# 5. Episode-level acceptance (truncated, min_advantage, etc.) +for episode in all_valid_episodes: + if should_accept(episode): + await replay_buffer.add.call_one(episode) +``` + +--- + +### Q6: Fixed vs Variable Group Sizes? + +**Question:** Should we maintain fixed group sizes or allow variable sizes? + +**Decision: Fixed until advantages, then dissolve** + +**Reasoning:** +- "if a group is size 16, it will stay 16 until its advantages are computed. After that, the concept of group is useless." +- Simplifies advantage computation (no need to handle variable sizes) +- Training doesn't need groups anyway (packed dataset handles variable lengths) + +**Implementation:** +```python +# Groups stay exactly group_size until advantages computed +group_size = cfg.grpo.group_size # e.g., 16 + +# Generate groups (FIXED SIZE) +all_groups = [[await play_game(...) for _ in range(group_size)] for _ in range(num_groups)] + +# Filter groups (maintains FIXED SIZE per group) +valid_groups = [g for g in all_groups if len(set([e.reward for e in g])) > 1] + +# Compute ref_model (groups still FIXED SIZE) +# Compute advantages (groups still FIXED SIZE) + +# NOW groups dissolve - pass individual episodes to acceptance check +for group in valid_groups: + for episode in group: + if should_accept(episode): + await replay_buffer.add.call_one(episode) +``` + +--- + +### Q7: Truncate Tool Results or Drop Entire Turn? + +**Question:** When tool result exceeds budget, should we truncate it or drop the turn? + +**Decision: Truncate to budget by default, drop as config option** + +**Reasoning:** +- Per-tool limits are environment's responsibility, not config +- We only care about overall `max_seq_len` budget +- Similar to `drop_truncated_generation` but for tool results + +**Implementation:** +```python +# In play_game() - when processing tool results +tool_result = await execute_tool(tool_call) + +# Tokenize to check length +tool_result_tokens = tokenizer.encode(tool_result, add_special_tokens=False) + +# Check if it fits in remaining budget +remaining = max_seq_len - len(all_tokens) + +if len(tool_result_tokens) > remaining: + if cfg.truncation.drop_truncated_tool_response: + # Drop the turn entirely (Tinker approach) + is_truncated = True + truncation_reason = "tool_response_too_long" + break + else: + # Truncate to fit (default) + tool_result_tokens = tool_result_tokens[:remaining] + tool_result = tokenizer.decode(tool_result_tokens) + record_metric("truncation/rate_tool_response_truncated", 1, Reduce.MEAN) + +# Add tool response to messages +messages.append({"role": "tool", "content": tool_result}) +``` + +**Config:** +```yaml +truncation: + drop_truncated_generation: true # Drop incomplete LLM generation + drop_truncated_tool_response: false # Truncate tool response by default (don't drop) +``` + +--- + +### Q8: Where to Check Budget - Before or After Generation? + +**Question:** Should we check budget before generating (to prevent partial tokens) or after (to detect truncation)? + +**Decision: Check BEFORE entering while loop, then rely on `stop_reason` during loop** + +**Reasoning:** +- Initial prompt might already exceed budget - check before ANY generation +- Inside loop: `remaining` will always be >= 0 after first check +- Use `stop_reason == "length"` to detect truncation during loop +- Simpler than checking before every generation + +**Tinker's pattern (for reference):** +```python +# tinker-cookbook/tinker_cookbook/rl/rollouts.py +async def do_single_rollout(policy: TokenCompleter, env: Env) -> Trajectory: + """Simple rollout loop - one episode""" + transitions = [] + ob, stop_condition = await env.initial_observation() + + while True: + ac_with_logprobs = await policy(ob, stop_condition) + step_result = await env.step(ac_with_logprobs.tokens) + transition = Transition( + ob=ob, + ac=ac_with_logprobs, + reward=step_result.reward, + episode_done=step_result.episode_done, + metrics=step_result.metrics, + ) + transitions.append(transition) + + if step_result.episode_done: # Env decides when to stop + break + + ob = step_result.next_observation + stop_condition = step_result.next_stop_condition + + return Trajectory(transitions=transitions, final_ob=ob) + +# And the outer function: +async def do_group_rollout(env_group_builder, policy) -> TrajectoryGroup: + """Rollout a group of episodes in parallel""" + envs = await env_group_builder.make_envs() + trajectories = await asyncio.gather(*[ + do_single_rollout(policy, env) for env in envs + ]) + # ... compute rewards ... + return TrajectoryGroup(trajectories, rewards, metrics) +``` + +**Our implementation:** +```python +async def play_single_game( + game_id: str, + server_url: str, + policy: Generator, + tokenizer, + max_seq_len: int, + max_turns: int, +) -> Episode: + """Play one game - returns single episode""" + messages = [{"role": "system", "content": "..."}] + all_tokens = [] + all_logprobs = [] + response_mask = [] + is_truncated = False + + env = OpenSpielEnv(base_url=server_url) + result = env.reset() + + # Initial prompt check (BEFORE while loop) + initial_prompt = tokenizer.apply_chat_template(messages, ...) + initial_tokens = tokenizer.encode(initial_prompt, add_special_tokens=False) + + if len(initial_tokens) >= max_seq_len: + # Initial prompt too large - return truncated episode immediately + return Episode( + is_truncated=True, + truncation_reason="initial_prompt_exceeds_budget", + all_token_ids=torch.tensor(initial_tokens[:max_seq_len]), + # ... minimal episode + ) + + turn_num = 0 + while not result.done and turn_num < max_turns: + # Build prompt for this turn + messages.append({"role": "user", "content": format_game_state(result.observation)}) + prompt_text = tokenizer.apply_chat_template(messages, ...) + prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) + + # Calculate remaining budget + remaining = max_seq_len - len(prompt_tokens) + + if remaining <= 0: + # No budget left for generation + is_truncated = True + truncation_reason = "max_seq_len" + break + + # Generate with remaining budget + response = await policy.generate.route( + [prompt_text], + sampling_params={"max_tokens": remaining} + ) + + # Check if truncated by vLLM + if response.stop_reason == "length": + is_truncated = True + truncation_reason = "generation_length" + if cfg.truncation.drop_truncated_generation: + break # Drop this turn + else: + # Mask this turn + all_tokens.extend(prompt_tokens) + all_tokens.extend(response.token_ids) + response_mask.extend([0] * (len(prompt_tokens) + len(response.token_ids))) + break + + # Accumulate tokens + all_tokens.extend(prompt_tokens) + all_tokens.extend(response.token_ids) + response_mask.extend([0] * len(prompt_tokens)) + response_mask.extend([1] * len(response.token_ids)) + all_logprobs.extend([0.0] * len(prompt_tokens)) + all_logprobs.extend(response.logprobs) + + # Add to messages and continue + messages.append({"role": "assistant", "content": response.text}) + action = parse_action(response.text) + result = env.step(OpenSpielAction(action_id=action, game_name="blackjack")) + turn_num += 1 + + # Create episode + return Episode( + episode_id=game_id, + is_truncated=is_truncated, + truncation_reason=truncation_reason, + all_token_ids=torch.tensor(all_tokens), + logprobs=torch.tensor(all_logprobs), + response_mask=torch.tensor(response_mask), + reward=calculate_reward(result.reward), + message_log=messages, + # ... + ) + +# Outer function for group rollout +async def rollout_group( + group_size: int, + server_url: str, + policy: Generator, + tokenizer, + max_seq_len: int, + max_turns: int, +) -> list[Episode]: + """Rollout group_size games in parallel""" + games = [ + play_single_game( + game_id=str(uuid.uuid4()), + server_url=server_url, + policy=policy, + tokenizer=tokenizer, + max_seq_len=max_seq_len, + max_turns=max_turns, + ) + for _ in range(group_size) + ] + return await asyncio.gather(*games) +``` + +--- + +## Final Configuration Schema + +```yaml +# apps/blackjack/qwen3_1_7b.yaml + +blackjack_env: + max_seq_len: 2048 # Episode-level budget (all turns) + max_turns: 10 # Hard limit on turns per episode + +grpo: + group_size: 16 # Fixed group size (stays 16 until advantages computed) + accept_truncated: true # Accept truncated episodes (learn from partial success) + # Future: min_advantage, etc. + +truncation: + # How to handle truncated generations (LLM responses) + drop_truncated_generation: true # Drop incomplete turn (Tinker approach) + # If false, masks it (TRL approach) + + # How to handle truncated tool responses + drop_truncated_tool_response: false # Truncate to budget (default) + # If true, drop turn entirely (Tinker approach) + +policy: + engine_args: + enable_prefix_caching: true # Critical for multi-turn + max_model_len: 4096 +``` + +--- + +## Summary Decision Table + +| Design Question | Decision | Reasoning | +|----------------|----------|-----------| +| **Detect truncation** | `stop_reason == "length"` + budget check | Explicit and reliable | +| **Truncated generation** | Drop by default | Clean, libraries only drop or mask (never train with gradient) | +| **Truncated episode** | Filter at GRPO loop level | Check before adding to buffer, minimize communication | +| **Group filtering** | Drop groups with constant rewards only | Simple, efficient | +| **Ref model timing** | After group filtering, before episode acceptance | Process all valid groups (fixed size) | +| **Group sizes** | Fixed until advantages, then dissolve | Simplifies advantage computation | +| **Tool results** | Truncate by default, drop as option | Env controls per-tool limits | +| **Budget check** | Before while loop + stop_reason during loop | Simpler than checking every iteration | +| **Rollout structure** | Separate `play_single_game()` and `rollout_group()` | Matches Tinker pattern, clean separation | + +--- + +**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation_v3.md b/brainstorming_forge_tau/changes/3_truncation_v3.md new file mode 100644 index 000000000..854dfbfc3 --- /dev/null +++ b/brainstorming_forge_tau/changes/3_truncation_v3.md @@ -0,0 +1,627 @@ +# Part 3: Truncation Handling for Multi-Turn Episodes + +## Problem + +**Multi-turn episodes can exceed token budgets in multiple ways:** +1. Initial prompt already too large (rare but possible) +2. Generation truncated mid-response by vLLM (hit `max_tokens` limit) +3. Cumulative tokens across turns exceed `max_seq_len` (episode budget) +4. Tool results too long to fit in remaining budget +5. Episode hits `max_turns` limit before natural completion + +**Why this matters:** +- Truncated generations produce incomplete responses (e.g., "HI" instead of "HIT") +- Training on partial tokens can confuse the model +- Groups with all-truncated episodes have no variance (no learning signal) +- Need to decide: drop incomplete data or mask it out during training? + +**Root cause:** No unified strategy for detecting truncation, handling partial episodes, and filtering at group vs episode level. + +--- + +## Solution: Episode-Level Budget with Multi-Level Filtering + +**Key insights from library investigation (TRL, VERL, NeMo-RL, Tinker, Verifiers):** +1. All libraries check vLLM's `stop_reason == "length"` to detect truncation +2. All libraries only **drop** or **mask** truncated generations - none train with gradient on partial tokens +3. Most filter at two levels: **group-level** (constant rewards) and **episode-level** (acceptance criteria) +4. Reference model timing varies: compute for all episodes (TRL) vs only kept episodes (Tinker) + +**Our architecture (based on Tinker's efficient pattern):** +``` +Rollout Group Filter Episode Filter Replay Buffer + ↓ ↓ ↓ ↓ +do_single_rollout() Drop constant reward Acceptance criteria Add accepted episodes +returns Episode groups (no variance) (truncated, min_adv) for training +``` + +**Fixed group sizes until advantages computed, then dissolve** - training doesn't need groups (packed dataset handles variable lengths). + +--- + +## Current State (from PLAN.md) + +### Rollout Loop Checks Budget Per-Turn +```python +async def play_game(..., max_seq_len: int = 2048, max_turns: int = 10): + # Check if prompt exceeds budget + if len(prompt_tokens) >= max_seq_len: + is_truncated = True + truncation_reason = "max_seq_len" + break + + # Generate with remaining budget + remaining = max_seq_len - len(prompt_tokens) + responses = await policy.generate.route([prompt_text], + sampling_params={"max_tokens": remaining}) + + # Check if generation was cut off + if response.stop_reason == "length": + is_truncated = True + truncation_reason = "generation_length" +``` + +**Problems:** +1. Budget check happens inside while loop on every iteration (inefficient) +2. No group-level filtering for constant rewards +3. No episode-level acceptance criteria (truncated episodes always added to buffer) +4. Reference model computed for all episodes even if we'll drop them +5. No structured rollout pattern (mixing game logic with token tracking) + +--- + +## New State: Complete Rollout and Training Loop + +### Architecture Overview + +**Two-function pattern (from Tinker):** +- `do_single_rollout()`: Plays one game, returns one Episode +- `rollout_group()`: Plays group_size games in parallel, returns list[Episode] + +**Filtering happens at three levels:** +1. **Generation-level**: Drop or mask truncated LLM responses (per-turn decision) +2. **Group-level**: Drop groups with constant rewards (no learning signal) +3. **Episode-level**: Acceptance criteria before adding to buffer (is_truncated, min_advantage, etc.) + +### Design Decisions + +Below are the 8 key design decisions for truncation handling. Each section includes a brief explanation of the decision and how it's implemented in the loop. + +--- + +#### Decision 1: Detecting Truncation + +**Decision:** Use `stop_reason == "length"` as primary signal, with budget check as fallback. + +**Why:** vLLM's `stop_reason` field is explicit and reliable - no need to guess based on EOS tokens. We also check cumulative budget to catch cases where the prompt itself exceeds `max_seq_len`. + +**Implementation notes:** +- Check initial prompt length BEFORE entering while loop (avoid wasted generation) +- Inside loop: rely on `stop_reason == "length"` to detect mid-generation truncation +- After each turn: budget check happens naturally (prompt includes all previous turns) + +--- + +#### Decision 2: Handling Truncated Generations + +**Decision:** Drop incomplete turn by default (Tinker approach), with masking as config option. + +**Why:** Clean and simple - if model says "HI" (truncated "HIT"), we don't want to train on that. All investigated libraries offer only two options: drop or mask. **No library trains with gradient on truncated tokens** - masking means `response_mask=0` (zero gradient but kept in batch for ref_model). + +**Implementation notes:** +- If `stop_reason == "length"` and `drop_truncated_generation=True`: break loop, don't add tokens +- If `stop_reason == "length"` and `drop_truncated_generation=False`: add tokens but set `response_mask=0` +- Episode still gets final reward (it influenced the outcome), but incomplete turn doesn't contribute gradients + +--- + +#### Decision 3: Handling Truncated Episodes + +**Decision:** Filter at GRPO loop level with acceptance criteria, checked BEFORE adding to replay buffer. + +**Why:** Minimize communication by checking acceptance before `replay_buffer.add()`. Keeps acceptance logic in GRPO loop (visible), not buried in buffer internals. Allows flexibility for future criteria (min_advantage, etc.). + +**Implementation notes:** +- Compute ref_model and advantages for all episodes first +- Loop through episodes and check acceptance criteria +- Only call `replay_buffer.add()` for accepted episodes +- Record metrics for rejection reasons (rate_rejected_truncated, etc.) + +--- + +#### Decision 4: Group-Level Filtering + +**Decision:** Drop groups with constant rewards only - keep it simple. + +**Why:** If all rewards are identical, `std=0` and advantages become `NaN` (no learning signal). Simple check: `if len(set(rewards)) == 1: drop group`. Don't complicate with truncation logic - episode-level acceptance handles that. + +**Implementation notes:** +- Generate all groups (each exactly `group_size` episodes) +- Filter groups before ref_model computation (save compute) +- Record `groups/rate_dropped` metric with 0 or 1 values +- If no valid groups, skip this rollout iteration + +--- + +#### Decision 5: Reference Model Timing + +**Decision:** Compute after group filtering, before episode-level acceptance. + +**Why:** Filter out useless groups first (constant rewards) to save compute. Then compute ref_model for all episodes in valid groups. Episode-level acceptance happens after advantages computed (need advantages to check min_advantage criterion). + +**Implementation notes:** +- Group filtering reduces episode count (saves ref_model compute) +- Ref_model processes all episodes in valid groups (still fixed size per group) +- Episode-level acceptance happens after advantages assigned +- Groups maintain fixed size until advantages computed, then dissolve + +--- + +#### Decision 6: Fixed vs Variable Group Sizes + +**Decision:** Fixed group size (e.g., 16) until advantages computed, then dissolve. + +**Why:** Simplifies advantage computation (no need to handle variable sizes). Training doesn't need groups anyway - packed dataset handles variable lengths. Groups are only for GRPO advantage normalization. + +**Implementation notes:** +- Generate exactly `group_size` episodes per group +- Group filtering maintains fixed size (drop entire group, not individual episodes) +- After advantages computed, pass individual episodes to acceptance check +- Replay buffer receives individual episodes (no concept of groups) + +--- + +#### Decision 7: Handling Truncated Tool Responses + +**Decision:** Truncate to budget by default, drop turn as config option. + +**Why:** Environment controls per-tool limits (not our config). We only care about overall `max_seq_len` budget. Truncating tool response is less destructive than dropping entire turn. + +**Implementation notes:** +- Tokenize tool result and check remaining budget +- If exceeds: truncate tokens to fit (default) or drop turn entirely (config option) +- Record `truncation/rate_tool_response_truncated` metric +- Similar pattern to `drop_truncated_generation` but for tool results + +--- + +#### Decision 8: Budget Check Timing + +**Decision:** Check BEFORE entering while loop (initial prompt), then rely on `stop_reason` during loop. + +**Why:** Initial prompt might already exceed budget - catch this early. Inside loop: budget is implicitly checked (prompt includes all turns, we set `max_tokens=remaining`). Simpler than checking before every generation. + +**Implementation notes:** +- Before while loop: tokenize initial prompt and check `len >= max_seq_len` +- If exceeds: return truncated episode immediately (avoid wasted generation) +- Inside loop: calculate `remaining = max_seq_len - len(prompt_tokens)` and pass to vLLM +- vLLM handles truncation via `stop_reason == "length"`, we react accordingly + +--- + +## Complete Implementation + +### 1. Play Single Game (Rollout Function) + +This function follows Tinker's `do_single_rollout()` pattern - simple while loop, environment decides when to stop. + +```python +async def do_single_rollout( + game_id: str, + server_url: str, + policy: Generator, + tokenizer, + max_seq_len: int = 2048, + max_turns: int = 10, +) -> Episode: + """ + Play one blackjack game - returns single episode with all turns. + + Budget tracking (Decision 1, 8): + - Check initial prompt BEFORE while loop + - Inside loop: rely on stop_reason to detect truncation + - Dynamic max_tokens = max_seq_len - len(prompt_tokens) + + Truncation handling (Decision 2): + - If stop_reason == "length": drop or mask based on config + - Episode marked as is_truncated with reason + """ + messages = [ + {"role": "system", "content": "You are an expert BlackJack player..."} + ] + + all_tokens = [] + all_logprobs = [] + response_mask = [] + is_truncated = False + truncation_reason = None + + env = OpenSpielEnv(base_url=server_url) + result = env.reset() + + # ============ Decision 8: Check initial prompt BEFORE while loop ============ + initial_prompt = tokenizer.apply_chat_template(messages, + add_generation_prompt=True, + tokenize=False) + initial_tokens = tokenizer.encode(initial_prompt, add_special_tokens=False) + + if len(initial_tokens) >= max_seq_len: + # Initial prompt too large - return truncated episode immediately + return Episode( + episode_id=game_id, + task_name="blackjack", + is_truncated=True, + truncation_reason="initial_prompt_exceeds_budget", + all_token_ids=torch.tensor(initial_tokens[:max_seq_len]), + logprobs=torch.zeros(max_seq_len), + response_mask=torch.zeros(max_seq_len), + reward=0, # No game played + metadata={"num_turns": 0} + ) + + turn_num = 0 + while not result.done and turn_num < max_turns: + # Build user message with game state + player_total = result.observation.metadata.get("player_total", "?") + dealer_card = result.observation.metadata.get("dealer_card", "?") + + state_desc = f"Your hand total: {player_total}\n" + state_desc += f"Dealer shows: {dealer_card}\n" + state_desc += "What do you do? Output only 'HIT' or 'STAND'." + + messages.append({"role": "user", "content": state_desc}) + + # ============ Decision 1, 8: Format and check budget ============ + prompt_text = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=False + ) + prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) + + # Check remaining budget + remaining = max_seq_len - len(prompt_tokens) + if remaining <= 0: + # No budget left for generation + is_truncated = True + truncation_reason = "max_seq_len" + break + + # Generate with remaining budget + response = await policy.generate.route( + [prompt_text], + sampling_params={"max_tokens": remaining} + ) + response = response[0] + + # ============ Decision 1, 2: Check if truncated by vLLM ============ + if response.stop_reason == "length": + is_truncated = True + truncation_reason = "generation_length" + + if cfg.truncation.drop_truncated_generation: + # Drop this turn entirely - don't add tokens + break + else: + # Mask this turn - add tokens but set response_mask=0 + all_tokens.extend(prompt_tokens) + all_tokens.extend(response.token_ids) + response_mask.extend([0] * (len(prompt_tokens) + len(response.token_ids))) + all_logprobs.extend([0.0] * len(prompt_tokens)) + all_logprobs.extend(response.logprobs) + break + + # ============ Accumulate tokens (normal case) ============ + all_tokens.extend(prompt_tokens) + all_tokens.extend(response.token_ids) + response_mask.extend([0] * len(prompt_tokens)) # Don't train on prompts + response_mask.extend([1] * len(response.token_ids)) # Train on responses + all_logprobs.extend([0.0] * len(prompt_tokens)) + all_logprobs.extend(response.logprobs) + + # Parse and execute action + messages.append({"role": "assistant", "content": response.text}) + action = parse_action(response.text) # Returns "HIT", "STAND", or "INVALID" + + if action == "INVALID": + action = "STAND" # Fallback + action_id = 1 + elif action == "HIT": + action_id = 0 + else: # STAND + action_id = 1 + + result = env.step(OpenSpielAction(action_id=action_id, game_name="blackjack")) + turn_num += 1 + + # Check if hit max_turns + if turn_num >= max_turns and not result.done: + is_truncated = True + truncation_reason = "max_turns" + + # Calculate final reward + env_reward = result.reward + reward = calculate_reward(env_reward) # Custom shaping: Win=+3, Loss=-1 + + # Create episode + return Episode( + episode_id=game_id, + task_name="blackjack", + generator_version=0, # TODO: Get from policy + is_truncated=is_truncated, + all_token_ids=torch.tensor(all_tokens, dtype=torch.long), + logprobs=torch.tensor(all_logprobs, dtype=torch.float), + response_mask=torch.tensor(response_mask, dtype=torch.float), + reward=reward, + advantage=None, # Computed later + ref_logprobs=None, # Computed later + message_log=messages, + metadata={ + "num_turns": turn_num, + "env_reward": env_reward, + "truncation_reason": truncation_reason, + } + ) +``` + +**Key implementation notes:** +- Initial prompt check happens once before loop (Decision 8) +- Budget naturally enforced inside loop via `max_tokens=remaining` (Decision 1) +- Truncated generation handling: drop or mask based on config (Decision 2) +- Returns single Episode with all turns concatenated + +--- + +### 2. Rollout Group (Outer Function) + +This function follows Tinker's `do_group_rollout()` pattern - parallel execution, fixed group size. + +```python +async def rollout_group( + group_size: int, + server_url: str, + policy: Generator, + tokenizer, + max_seq_len: int, + max_turns: int, +) -> list[Episode]: + """ + Rollout group_size games in parallel. + + Group stays exactly group_size until returned (Decision 6). + No filtering at this level - happens in continuous_rollouts(). + """ + rollouts = [ + do_single_rollout( + game_id=str(uuid.uuid4()), + server_url=server_url, + policy=policy, + tokenizer=tokenizer, + max_seq_len=max_seq_len, + max_turns=max_turns, + ) + for _ in range(group_size) + ] + return await asyncio.gather(*rollouts) +``` + +**Key implementation notes:** +- Exactly `group_size` episodes returned (Decision 6) +- Parallel execution via `asyncio.gather()` +- Simple wrapper - filtering happens at higher level + +--- + +### 3. Continuous Rollouts (Main GRPO Loop) + +This is where all filtering decisions happen (Decisions 3, 4, 5, 6). + +```python +async def continuous_rollouts(tokenizer): + """ + Main GRPO rollout loop with multi-level filtering. + + Flow: + 1. Generate groups (fixed size) + 2. Filter groups (constant rewards) - Decision 4 + 3. Compute ref_model for valid groups - Decision 5 + 4. Compute advantages (groups still fixed size) + 5. Episode-level acceptance (groups dissolve) - Decision 3, 6 + 6. Add accepted episodes to buffer + """ + server_url = cfg.blackjack_env.server_url + max_seq_len = cfg.blackjack_env.max_seq_len + max_turns = cfg.blackjack_env.max_turns + group_size = cfg.grpo.group_size + num_groups = cfg.grpo.get("num_groups_per_rollout", 4) + + while not shutdown_event.is_set(): # TODO: why shutdown_event and not just while true? + # ============ Step 1: Generate all groups (Decision 6: Fixed size) ============ + all_groups = [] #TODO: remove this logic of "all_groups". We do one group per loop, no? + for group_idx in range(num_groups): + group = await rollout_group( + group_size=group_size, + server_url=server_url, + policy=policy, + tokenizer=tokenizer, + max_seq_len=max_seq_len, + max_turns=max_turns, + ) + all_groups.append(group) + + # ============ Step 2: Filter groups (Decision 4: Constant rewards) ============ + valid_groups = [] + for group in all_groups: + rewards = [e.reward for e in group] + if len(set(rewards)) > 1: # At least 2 different reward values + valid_groups.append(group) + record_metric("groups/rate_dropped", 0, Reduce.MEAN) + else: + record_metric("groups/rate_dropped", 1, Reduce.MEAN) + + if not valid_groups: + # All groups had constant rewards - skip this rollout + continue + + # ============ Step 3: Compute ref_model for valid groups (Decision 5) ============ + # Flatten valid groups to list of episodes (groups still conceptually intact) + all_valid_episodes = [e for g in valid_groups for e in g] + + # Pad to max length in batch + max_len = max(len(e.all_token_ids) for e in all_valid_episodes) + padded_tokens = [] + for episode in all_valid_episodes: + seq_len = len(episode.all_token_ids) + pad_len = max_len - seq_len + padded = F.pad(episode.all_token_ids, (0, pad_len), value=pad_id) + padded_tokens.append(padded) + + input_ids = torch.stack(padded_tokens) # [batch, max_len] + + # Compute ref_model logprobs + ref_logprobs = await ref_model.forward.route( + input_ids, + 0, # No separate prompt length (response_mask handles it) + return_logprobs=True + ) + + # Assign ref_logprobs to episodes (unpad) + for i, episode in enumerate(all_valid_episodes): + seq_len = len(episode.all_token_ids) + episode.ref_logprobs = ref_logprobs[i, :seq_len] + + del ref_logprobs, input_ids + + # ============ Step 4: Compute advantages per group (Decision 6: Groups still fixed) ============ + for group in valid_groups: + advantages = await compute_advantages.compute.call_one(group) + for episode, advantage in zip(group, advantages): + episode.advantage = advantage + + # ============ Step 5: Episode-level acceptance (Decision 3, 6: Groups dissolve) ============ + accepted_episodes = [] + for group in valid_groups: + for episode in group: + should_accept = True + + # Acceptance criterion: is_truncated + if episode.is_truncated and not cfg.grpo.accept_truncated: + should_accept = False + record_metric("buffer/rate_rejected_truncated", 1, Reduce.MEAN) + else: + record_metric("buffer/rate_rejected_truncated", 0, Reduce.MEAN) + + # Future: Add min_advantage criterion here + # if episode.advantage < cfg.grpo.min_advantage: + # should_accept = False + + if should_accept: + accepted_episodes.append(episode) + + # ============ Step 6: Add to replay buffer (Decision 3) ============ + # TODO: Add all episodes at once instead of one by one + for episode in accepted_episodes: + await replay_buffer.add.call_one(episode) + + record_metric("buffer/episodes_accepted", len(accepted_episodes), Reduce.SUM) + record_metric("buffer/episodes_generated", len(all_valid_episodes), Reduce.SUM) +``` + +**Key implementation notes:** +- Groups generated with fixed size (Decision 6) +- Group filtering before ref_model saves compute (Decision 4, 5) +- Ref_model computed for all episodes in valid groups (Decision 5) +- Advantages computed per group (groups still intact, Decision 6) +- Episode-level acceptance after advantages (groups dissolve, Decision 3, 6) +- Acceptance logic in GRPO loop, not replay buffer (Decision 3) + +--- + +## Configuration Schema + +All design decisions are controlled via config: + +```yaml +# apps/blackjack/qwen3_1_7b.yaml + +blackjack_env: + max_seq_len: 2048 # Episode-level budget (all turns) - Decision 8 + max_turns: 10 # Hard limit on turns per episode + +grpo: + group_size: 16 # Fixed group size (stays 16 until advantages computed) - Decision 6 + num_groups_per_rollout: 4 # How many groups to generate per rollout iteration + accept_truncated: true # Accept truncated episodes - Decision 3 + # Set to false to drop incomplete episodes + # Future: min_advantage filter + +truncation: + # How to handle truncated generations (LLM responses) - Decision 2 + drop_truncated_generation: true # Drop incomplete turn (Tinker approach) + # If false, masks it (TRL approach) + + # How to handle truncated tool responses - Decision 7 + drop_truncated_tool_response: false # Truncate to budget (default) + # If true, drop turn entirely + +policy: + engine_args: + enable_prefix_caching: true # Critical for multi-turn (2-3x speedup) + max_model_len: 4096 # vLLM model context length +``` + +--- + +## Summary of Design Decisions + +| Decision | Choice | Config | +|----------|--------|--------| +| **1. Detect truncation** | `stop_reason == "length"` + budget check | N/A | +| **2. Truncated generation** | Drop by default (Tinker) | `truncation.drop_truncated_generation` | +| **3. Truncated episode** | Filter at GRPO loop before buffer | `grpo.accept_truncated` | +| **4. Group filtering** | Drop groups with constant rewards | N/A (always enabled) | +| **5. Ref model timing** | After group filter, before episode filter | N/A | +| **6. Group sizes** | Fixed (16) until advantages, then dissolve | `grpo.group_size` | +| **7. Tool results** | Truncate by default, drop as option | `truncation.drop_truncated_tool_response` | +| **8. Budget check** | Before while loop + stop_reason during loop | `blackjack_env.max_seq_len` | + +**Key principle:** All libraries only **drop** or **mask** truncated generations - none train with gradient on partial tokens. Masking means `response_mask=0` (zero gradient but kept in batch for ref_model). + +--- + +## Benefits + +1. **Efficient budget tracking**: Check initial prompt once, rely on `stop_reason` during loop +2. **Flexible truncation handling**: Drop or mask via config (matches library patterns) +3. **Multi-level filtering**: Groups (constant rewards) → Episodes (acceptance criteria) +4. **Optimized ref_model**: Compute after group filtering (save compute on dropped groups) +5. **Fixed group sizes**: Simplifies advantage computation (variable lengths handled in training) +6. **Clean rollout structure**: Separate `do_single_rollout()` and `rollout_group()` (matches Tinker) +7. **Extensible acceptance**: Easy to add min_advantage, max_length, etc. +8. **Proper metrics**: Track truncation reasons, rejection rates, group drop rates + +--- + +## Migration from Current PLAN.md + +### Changes to `play_game()`: +1. Move budget check BEFORE while loop (only check initial prompt once) +2. Add truncated generation handling (drop vs mask based on config) +3. Return truncated episode immediately if initial prompt exceeds budget + +### Changes to `continuous_rollouts()`: +1. Add group generation loop (`rollout_group()` wrapper) +2. Add group-level filtering (constant rewards) +3. Compute ref_model for valid groups only +4. Add episode-level acceptance criteria before buffer +5. Record new metrics (rate_dropped, rate_rejected_truncated) + +### Changes to config: +1. Add `grpo.accept_truncated` flag +2. Add `truncation.drop_truncated_generation` flag +3. Add `truncation.drop_truncated_tool_response` flag (future tool calling) +4. Add `grpo.num_groups_per_rollout` parameter + +--- + +**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation_v4_abstraction_fixes.md b/brainstorming_forge_tau/changes/3_truncation_v4_abstraction_fixes.md new file mode 100644 index 000000000..11ce1da89 --- /dev/null +++ b/brainstorming_forge_tau/changes/3_truncation_v4_abstraction_fixes.md @@ -0,0 +1,876 @@ +# Truncation V4: Abstraction Fixes and Design Corrections + +**Date:** 2025-01-16 +**Purpose:** Address critical issues in V3 and establish proper environment/dataset abstractions based on investigation of Tinker, VERL, OpenEnv, TRL, and NeMo-RL. + +--- + +## Easy Fixes (Quick Wins) + +### Issue 1: Redundant Initial Prompt Check ❌ DELETE + +**Problem:** Decision 8 suggests checking initial prompt before while loop, but this is redundant. + +**Why it doesn't work:** +- The while loop naturally handles this on first iteration +- Adds complexity for zero benefit +- First turn already checks budget before generation + +**Fix:** Remove the initial prompt check entirely. + +```python +# ❌ DELETE THIS (from V3) +initial_prompt = tokenizer.apply_chat_template(messages, ...) +initial_tokens = tokenizer.encode(initial_prompt, add_special_tokens=False) +if len(initial_tokens) >= max_seq_len: + return Episode(is_truncated=True, ...) + +# ✅ KEEP ONLY THIS (let while loop handle it) +while not result.done and turn_num < max_turns: + # Build prompt + prompt_text = tokenizer.apply_chat_template(messages, ...) + prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) + + # Check budget naturally + remaining = max_seq_len - len(prompt_tokens) + if remaining <= 0: + is_truncated = True + break +``` + +--- + +### Issue 2: Generator Version from Completion ✅ FIX + +**Problem:** V3 hardcodes `generator_version=0` + +**Solution:** Extract from completion object. + +```python +# ✅ Correct way +response = await policy.generate.route([prompt_text], ...) +response = response[0] + +episode = Episode( + generator_version=response.generator_version, # From completion! + ... +) +``` + +--- + +### Issue 3: Timeout on Policy Generation ⚠️ OPTIONAL + +**Investigation results:** +- **TRL:** No timeout +- **VERL:** Timeout only on reward computation (300s) +- **NeMo-RL:** YES - 600s default via env var `NRL_VLLM_ASYNC_TIMEOUT_SECONDS` +- **Tinker:** No timeout +- **Verifiers:** YES - 600s configurable via `generation_timeout` + +**Recommendation:** Add timeout as **optional config**, not hardcoded. + +```python +# ✅ Configurable timeout (optional) +timeout = cfg.blackjack_env.get("generation_timeout", None) # None = no timeout + +if timeout is not None: + responses = await asyncio.wait_for( + policy.generate.route([prompt_text], sampling_params={"max_tokens": remaining}), + timeout=timeout + ) +else: + responses = await policy.generate.route( + [prompt_text], + sampling_params={"max_tokens": remaining} + ) +``` + +**Config:** +```yaml +blackjack_env: + generation_timeout: 600.0 # Optional, omit for no timeout +``` + +--- + +### Issue 4: Double Padding Bug ❌ CRITICAL + +**Problem:** We pad in both `continuous_rollouts()` AND `collate()`. + +**Root cause:** Misunderstanding of when to pad. + +**Investigation:** +- **Reference model** should receive padded batch (for efficient batching) +- **Collate** also needs to pad (for training batch) +- But we're padding the SAME data twice! + +**Fix:** Pad only ONCE for ref_model, store ref_logprobs unpadded, then pad again in collate. + +```python +# ✅ In continuous_rollouts() - pad for ref_model +max_len = max(len(e.all_token_ids) for e in episodes) +padded_tokens = [] +for episode in episodes: + seq_len = len(episode.all_token_ids) + pad_len = max_len - seq_len + padded = F.pad(episode.all_token_ids, (0, pad_len), value=pad_id) + padded_tokens.append(padded) + +input_ids = torch.stack(padded_tokens) # [batch, max_len] + +# Get reference logprobs (padded) +ref_logprobs_padded = await ref_model.forward.route(input_ids, 0, return_logprobs=True) + +# Assign ref_logprobs to episodes (UNPAD them!) +for i, episode in enumerate(episodes): + seq_len = len(episode.all_token_ids) + episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] # Unpad! + +# ✅ In collate() - pad AGAIN for training batch +# (Different episodes, different max_len) +for batch in batches: + max_len = max(len(e.all_token_ids) for e in batch) + # ... pad all_token_ids, ref_logprobs, response_mask, logprobs ... +``` + +This is correct because: +- Rollout groups may have different max lengths than training batches +- We need flexibility to batch differently during training +- Storing unpadded in Episode keeps data clean + +--- + +### Issue 5: Naive Slicing Bug with Response Mask ❌ CRITICAL + +**Problem from V3:** +```python +# ❌ WRONG - ignores response_mask! +episode.ref_logprobs = ref_logprobs[i, :seq_len] +``` + +**Why it's wrong:** +- `ref_logprobs` includes logprobs for ALL tokens (prompt + response) +- We only care about response tokens (where `response_mask=1`) +- Should NOT naively slice - must respect the mask + +**Actually... wait, this is fine:** + +The `ref_logprobs` tensor is `[batch, seq_len]` where `seq_len` includes both prompt and response tokens. The `response_mask` will be applied LATER during loss computation to zero out prompt token contributions. + +**So the slicing is correct!** We store ref_logprobs for all tokens, and mask is applied during training. + +**Re-verification:** +```python +# Episode stores: +all_token_ids: [prompt1_tokens, response1_tokens, prompt2_tokens, response2_tokens] +response_mask: [0, 0, 0, ..., 1, 1, 1, ..., 0, 0, 0, ..., 1, 1, 1, ...] +ref_logprobs: [lp_p1, ..., lp_r1, ..., lp_p2, ..., lp_r2, ...] + +# During loss computation: +masked_ref_logprobs = ref_logprobs * response_mask # Zeros out prompt logprobs +# This is correct! +``` + +**Conclusion:** Issue 5 is NOT a bug. The slicing is correct. The mask is applied during training. + +--- + +## Complex Issue: Environment/Dataset Abstraction + +### Investigation Summary + +I investigated 5 frameworks to understand best practices: + +| Framework | Env Abstraction | Who Builds Prompts | Multi-Turn | Dataset Role | +|-----------|-----------------|-------------------|------------|--------------| +| **Tinker** | ✅ Yes (`Env` ABC) | Environment (via Renderer) | ✅ Yes | Provides `EnvGroupBuilder` | +| **VERL** | ⚠️ Agent Loop (not Env) | Agent Loop | ✅ Yes | Provides messages + config | +| **OpenEnv** | ✅ Yes (`Environment` class) | Agent (outside env) | ✅ Yes | Separate from env | +| **TRL** | ❌ No | Dataset | ❌ No | Provides formatted prompts | +| **NeMo-RL** | ✅ Yes (`EnvironmentInterface`) | Env appends observations | ✅ Yes | Provides initial messages | + +### Key Insights + +#### 1. **Tinker's Approach (Best for Us)** + +**Architecture:** +``` +Dataset → EnvGroupBuilder → Env (with Renderer) → Rollout Loop +``` + +**Key principles:** +- **Observations are pre-formatted prompts** (`tinker.ModelInput` - already tokenized) +- **Environment owns prompt building** via injected `Renderer` +- **Renderer handles model-specific formatting** (Llama3 vs Qwen3) +- **Environment handles task-specific logic** (check answer, compute reward) +- **Rollout loop is 100% generic** - no task-specific code + +**Example:** +```python +# Environment (task-specific) +class BlackjackEnv(Env): + def __init__(self, renderer: Renderer, server_url: str): + self.renderer = renderer + self.server_url = server_url + self.messages = [{"role": "system", "content": "You are an expert..."}] + + async def initial_observation(self) -> tuple[Observation, StopCondition]: + # Reset game + result = self.game_client.reset() + # Build user message + self.messages.append({"role": "user", "content": self._format_game_state(result)}) + # Render to tokenized prompt + obs = self.renderer.build_generation_prompt(self.messages) + return obs, self.renderer.stop_condition + + async def step(self, action: list[int]) -> StepResult: + # Parse action using renderer + message, parse_success = self.renderer.parse_response(action) + + # Extract action from parsed message (task-specific) + action_name = self._parse_action(message["content"]) + + # Execute in game (task-specific) + result = self.game_client.step(action_name) + + # Compute reward (task-specific) + reward = self._compute_reward(result) + + # Build next observation + if not result.done: + self.messages.append(message) + self.messages.append({"role": "user", "content": self._format_game_state(result)}) + next_obs = self.renderer.build_generation_prompt(self.messages) + else: + next_obs = tinker.ModelInput.empty() + + return StepResult( + reward=reward, + episode_done=result.done, + next_observation=next_obs, + next_stop_condition=self.renderer.stop_condition, + ) + +# Rollout loop (100% generic) +async def do_single_rollout(policy: TokenCompleter, env: Env) -> Trajectory: + transitions = [] + ob, stop_condition = await env.initial_observation() + while True: + ac_with_logprobs = await policy(ob, stop_condition) + step_result = await env.step(ac_with_logprobs.tokens) + transition = Transition(ob=ob, ac=ac_with_logprobs, reward=step_result.reward, ...) + transitions.append(transition) + ob = step_result.next_observation + stop_condition = step_result.next_stop_condition + if step_result.episode_done: + break + return Trajectory(transitions=transitions, final_ob=ob) +``` + +**Benefits:** +- Loop never touches tokenizer or chat templates +- Same loop works for blackjack, math, code, dialogue +- Swap renderer to support new model (Llama → Qwen) +- Environment encapsulates ALL task logic + +#### 2. **OpenEnv's Approach (Most Modular)** + +**Architecture:** +``` +Dataset (separate) → Agent → Environment (structured observations) +``` + +**Key principles:** +- **Environment returns structured data**, NOT formatted prompts +- **Agent builds prompts** from structured observations +- **Environment and Dataset are completely separate** +- **Reusability:** Same env works across many datasets + +**Example:** +```python +# Environment returns structured observation +@dataclass +class GameObservation(Observation): + player_total: int + dealer_card: int + done: bool + reward: float + +# Agent builds prompt +def build_prompt(obs: GameObservation) -> str: + return f"Your total: {obs.player_total}, Dealer shows: {obs.dealer_card}" +``` + +**Benefits:** +- Maximum separation of concerns +- Environment is pure game logic +- Agent controls prompt format +- Easy to swap prompt strategies + +**Drawbacks:** +- More boilerplate (agent must format every observation) +- Tokenizer lives in agent, not env + +#### 3. **VERL's Approach (Registry-Based)** + +**Architecture:** +``` +Dataset → Agent Loop (Registry) → Tools +``` + +**Key principles:** +- **No traditional Env** - `AgentLoopBase.run()` encapsulates everything +- **Registry pattern** - dataset specifies which agent loop via `agent_name` +- **State machine** - `AgentState` enum drives multi-turn logic + +**Benefits:** +- Highly extensible via registry +- Supports mixing task types in one training run + +**Drawbacks:** +- Less clear boundaries (agent loop does everything) +- Harder to understand data flow + +--- + +### Recommendation for Blackjack + +**Use Tinker's pattern** with slight adaptations: + +**Reasons:** +1. **Clean separation:** Env handles game logic, Renderer handles formatting, Loop is generic +2. **Observation = formatted prompt:** Loop doesn't need tokenizer +3. **Future-proof:** When we add tool calling, same pattern works +4. **Proven:** Tinker uses this for math, code, dialogue, games + +**Adaptations needed:** +1. **No dataset (yet):** Blackjack generates fresh games, not from dataset +2. **Env setup:** Create `BlackjackEnv` with server URL, renderer +3. **Renderer:** Use existing Forge renderer (Qwen3Renderer) + +--- + +## Proposed Abstraction: Blackjack with Tinker Pattern + +### Architecture + +``` +EnvBuilder → BlackjackEnv (with Renderer) → do_single_rollout() → Episode + ↓ + OpenSpielClient +``` + +### Component Responsibilities + +| Component | Responsibilities | NOT Responsible For | +|-----------|-----------------|---------------------| +| **BlackjackEnv** | Game state, reward logic, action parsing, message history | Tokenization, model formatting | +| **Renderer** | Chat template, tokenization, stop sequences, parsing tokens → messages | Game logic, rewards | +| **Rollout Loop** | Call policy, step env, record transitions | Formatting, parsing, game logic | +| **OpenSpielClient** | HTTP communication with game server | Prompt building, parsing | + +### Code Structure + +#### 1. Environment Class + +```python +# apps/blackjack/env.py + +from tinker_cookbook.rl.types import Env, StepResult, Observation, StopCondition +from tinker_cookbook.renderers import Renderer +import tinker + +class BlackjackEnv(Env): + """ + Blackjack environment following Tinker's pattern. + + Responsibilities: + - Manage game state via OpenSpielClient + - Build conversation messages (user/assistant) + - Parse actions from assistant messages + - Compute rewards + - Format game state into user messages + + Renderer handles all tokenization and model formatting. + """ + + def __init__( + self, + renderer: Renderer, + server_url: str, + system_prompt: str | None = None, + ): + self.renderer = renderer + self.server_url = server_url + self.client = OpenSpielEnv(base_url=server_url) + + # Message history (task-specific) + self.messages = [] + if system_prompt: + self.messages.append({"role": "system", "content": system_prompt}) + + # Metrics tracking + self.turn_count = 0 + self.has_invalid_action = False + + async def initial_observation(self) -> tuple[Observation, StopCondition]: + """Reset game and return first observation.""" + # Reset game state + result = self.client.reset() + + # Build user message with game state (task-specific) + user_message = self._format_game_state(result.observation) + self.messages.append({"role": "user", "content": user_message}) + + # Render to tokenized observation (renderer handles this) + obs = self.renderer.build_generation_prompt(self.messages) + + return obs, self.renderer.stop_condition + + async def step(self, action: list[int]) -> StepResult: + """ + Execute action and return next observation. + + Args: + action: Token IDs from model generation + + Returns: + StepResult with next observation, reward, done flag + """ + # Parse tokens → message (renderer handles this) + message, parse_success = self.renderer.parse_response(action) + + # Extract action from message content (task-specific) + action_name = self._parse_action(message["content"]) + if action_name == "INVALID": + self.has_invalid_action = True + action_name = "STAND" # Fallback + + # Add assistant message to history + self.messages.append(message) + + # Execute action in game (task-specific) + action_id = 0 if action_name == "HIT" else 1 + result = self.client.step(OpenSpielAction(action_id=action_id, game_name="blackjack")) + + self.turn_count += 1 + + # Compute reward (task-specific) + if result.done: + reward = self._compute_reward(result.reward, self.has_invalid_action) + else: + reward = 0.0 # No intermediate rewards for blackjack + + # Build next observation + if not result.done: + user_message = self._format_game_state(result.observation) + self.messages.append({"role": "user", "content": user_message}) + next_obs = self.renderer.build_generation_prompt(self.messages) + else: + next_obs = tinker.ModelInput.empty() + + return StepResult( + reward=reward, + episode_done=result.done, + next_observation=next_obs, + next_stop_condition=self.renderer.stop_condition, + metrics={ + "turn_count": self.turn_count, + "has_invalid_action": self.has_invalid_action, + } + ) + + def _format_game_state(self, observation) -> str: + """Format game state into user message (task-specific).""" + player_total = observation.metadata.get("player_total", "?") + dealer_card = observation.metadata.get("dealer_card", "?") + dealer_str = "Ace" if dealer_card == 1 else str(dealer_card) + + return ( + f"=== BlackJack Game (Turn {self.turn_count + 1}) ===\n\n" + f"Current State:\n" + f" Your hand total: {player_total}\n" + f" Dealer shows: {dealer_str}\n" + f" Legal actions: HIT, STAND\n\n" + f"What do you do? Output only 'HIT' or 'STAND'." + ) + + def _parse_action(self, text: str) -> str: + """Parse action from assistant text (task-specific).""" + text_lower = text.lower().strip() + if text_lower.endswith("hit"): + return "HIT" + elif text_lower.endswith("stand"): + return "STAND" + else: + return "INVALID" + + def _compute_reward(self, env_reward: float, has_invalid: bool) -> float: + """Compute final reward (task-specific).""" + if env_reward > 0: # Win + return 3.0 + else: # Loss or push + return -1.0 +``` + +#### 2. Environment Builder + +```python +# apps/blackjack/env.py (continued) + +from functools import partial +from tinker_cookbook.rl.types import EnvGroupBuilder + +@dataclass(frozen=True) +class BlackjackEnvGroupBuilder(EnvGroupBuilder): + """ + Builder for creating groups of blackjack environments. + + Each env in the group is independent (different game instance). + """ + server_url: str + renderer: Renderer + system_prompt: str + num_envs: int + + async def make_envs(self) -> list[Env]: + """Create num_envs independent blackjack environments.""" + return [ + BlackjackEnv( + renderer=self.renderer, + server_url=self.server_url, + system_prompt=self.system_prompt, + ) + for _ in range(self.num_envs) + ] +``` + +#### 3. Rollout Loop (Generic - Reuse Tinker's) + +```python +# apps/blackjack/rollouts.py + +from tinker_cookbook.rl.rollouts import do_single_rollout, do_group_rollout +from tinker_cookbook.rl.types import Trajectory, TrajectoryGroup + +# ✅ Use Tinker's generic rollout functions directly! +# No need to rewrite them - they work with any Env implementation. + +async def rollout_blackjack_group( + env_builder: BlackjackEnvGroupBuilder, + policy: TokenCompleter, +) -> TrajectoryGroup: + """Rollout a group of blackjack games.""" + return await do_group_rollout(env_builder, policy) +``` + +#### 4. Convert Trajectory → Episode + +```python +# apps/blackjack/main.py + +def trajectory_to_episode(traj: Trajectory, game_id: str) -> Episode: + """ + Convert Tinker Trajectory to Forge Episode. + + Trajectory stores transitions (per-turn), Episode stores concatenated sequence. + """ + all_tokens = [] + all_logprobs = [] + response_mask = [] + + for transition in traj.transitions: + # Observation tokens (prompt) + ob_tokens = transition.ob.input_ids.tolist() + all_tokens.extend(ob_tokens) + response_mask.extend([0] * len(ob_tokens)) + all_logprobs.extend([0.0] * len(ob_tokens)) + + # Action tokens (response) + ac_tokens = transition.ac.tokens + ac_logprobs = transition.ac.logprobs + all_tokens.extend(ac_tokens) + response_mask.extend([1] * len(ac_tokens)) + all_logprobs.extend(ac_logprobs) + + # Final reward from last transition + final_reward = traj.transitions[-1].reward if traj.transitions else 0.0 + + return Episode( + episode_id=game_id, + task_name="blackjack", + generator_version=0, # TODO: Get from policy + is_truncated=False, # TODO: Add truncation tracking + all_token_ids=torch.tensor(all_tokens, dtype=torch.long), + logprobs=torch.tensor(all_logprobs, dtype=torch.float), + response_mask=torch.tensor(response_mask, dtype=torch.float), + reward=final_reward, + metadata={ + "num_turns": len(traj.transitions), + "game_id": game_id, + } + ) +``` + +#### 5. Updated Continuous Rollouts + +```python +# apps/blackjack/main.py + +async def continuous_rollouts(): + """Main rollout loop using Tinker pattern.""" + + # Setup renderer (model-specific, task-agnostic) + renderer = get_renderer(cfg.policy.model) # Qwen3Renderer, Llama3Renderer, etc. + + # Setup env builder + env_builder = BlackjackEnvGroupBuilder( + server_url=cfg.blackjack_env.server_url, + renderer=renderer, + system_prompt="You are an expert BlackJack player...", + num_envs=cfg.grpo.group_size, + ) + + while not shutdown_event.is_set(): + # ============ Step 1: Rollout group (Tinker's generic function) ============ + trajectory_group = await do_group_rollout(env_builder, policy) + + # ============ Step 2: Convert trajectories → episodes ============ + episodes = [ + trajectory_to_episode(traj, game_id=str(uuid.uuid4())) + for traj in trajectory_group.trajectories + ] + + # ============ Step 3: Filter groups (constant rewards) ============ + rewards = [e.reward for e in episodes] + if len(set(rewards)) == 1: + record_metric("groups/rate_dropped", 1, Reduce.MEAN) + continue + record_metric("groups/rate_dropped", 0, Reduce.MEAN) + + # ============ Step 4: Compute ref_model ============ + max_len = max(len(e.all_token_ids) for e in episodes) + padded_tokens = [ + F.pad(e.all_token_ids, (0, max_len - len(e.all_token_ids)), value=pad_id) + for e in episodes + ] + input_ids = torch.stack(padded_tokens) + + ref_logprobs_padded = await ref_model.forward.route(input_ids, 0, return_logprobs=True) + + # Assign unpadded ref_logprobs + for i, episode in enumerate(episodes): + seq_len = len(episode.all_token_ids) + episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] + + # ============ Step 5: Compute advantages ============ + advantages = await compute_advantages.compute.call_one(episodes) + for episode, advantage in zip(episodes, advantages): + episode.advantage = advantage + + # ============ Step 6: Episode-level acceptance ============ + accepted_episodes = [] + for episode in episodes: + should_accept = True + if episode.is_truncated and not cfg.grpo.accept_truncated: + should_accept = False + record_metric("buffer/rate_rejected_truncated", 1, Reduce.MEAN) + else: + record_metric("buffer/rate_rejected_truncated", 0, Reduce.MEAN) + + if should_accept: + accepted_episodes.append(episode) + + # ============ Step 7: Add to buffer ============ + for episode in accepted_episodes: + await replay_buffer.add.call_one(episode) +``` + +--- + +## Handling Truncation with Env Pattern + +### Where Does max_seq_len Fit? + +**Problem:** Tinker's `Env` doesn't know about token budgets - it returns `ModelInput` (already tokenized). + +**Solution:** Add budget tracking to `StepResult` via `metrics`: + +```python +class BlackjackEnv(Env): + def __init__(self, renderer, server_url, max_seq_len: int = 2048): + self.max_seq_len = max_seq_len + self.cumulative_tokens = 0 + + async def initial_observation(self): + obs = self.renderer.build_generation_prompt(self.messages) + self.cumulative_tokens = obs.length + return obs, self.renderer.stop_condition + + async def step(self, action): + # Track cumulative tokens + self.cumulative_tokens += len(action) + + # Check if we're approaching budget + if self.cumulative_tokens >= self.max_seq_len: + # Mark episode as truncated via metrics + return StepResult( + reward=self._compute_reward(...), + episode_done=True, # Force termination + next_observation=tinker.ModelInput.empty(), + metrics={"is_truncated": True, "truncation_reason": "max_seq_len"}, + ... + ) + + # Normal step logic... +``` + +**Rollout loop extracts truncation info:** +```python +def trajectory_to_episode(traj: Trajectory, game_id: str) -> Episode: + # Check last transition for truncation + last_transition = traj.transitions[-1] + is_truncated = last_transition.metrics.get("is_truncated", False) + truncation_reason = last_transition.metrics.get("truncation_reason", None) + + return Episode( + is_truncated=is_truncated, + metadata={"truncation_reason": truncation_reason, ...}, + ... + ) +``` + +--- + +## Summary of Changes to V3 + +### Delete +1. ❌ Initial prompt check before while loop (Issue 1) +2. ❌ Hardcoded timeout=60.0 (Issue 3 - make configurable) +3. ❌ The entire `do_single_rollout()` function in V3 (use Tinker's instead) + +### Fix +1. ✅ `generator_version` from `completion.generator_version` (Issue 2) +2. ✅ Double padding: Keep padding in both places but unpad when storing (Issue 4) +3. ✅ Slicing is actually correct (Issue 5 - no bug) + +### Add +1. ✅ `BlackjackEnv(Env)` class following Tinker pattern +2. ✅ `BlackjackEnvGroupBuilder(EnvGroupBuilder)` +3. ✅ `trajectory_to_episode()` conversion function +4. ✅ Budget tracking via `StepResult.metrics` +5. ✅ Optional timeout config + +### Refactor +1. ✅ Use Tinker's `do_single_rollout()` and `do_group_rollout()` directly +2. ✅ Move all game logic into `BlackjackEnv` +3. ✅ Move all formatting into `Renderer` (already exists in Forge) +4. ✅ Keep rollout loop 100% generic + +--- + +## Final Architecture Diagram + +``` +┌─────────────────────────────────────────────────────────────┐ +│ Main Training Loop │ +│ (continuous_rollouts) │ +└────────┬────────────────────────────────────────────────────┘ + │ + ▼ +┌─────────────────────────────────────────────────────────────┐ +│ BlackjackEnvGroupBuilder │ +│ • Creates group_size BlackjackEnv instances │ +│ • Injects Renderer (Qwen3Renderer, etc.) │ +└────────┬────────────────────────────────────────────────────┘ + │ make_envs() + ▼ +┌─────────────────────────────────────────────────────────────┐ +│ BlackjackEnv (Env) │ +│ • Manages OpenSpielClient │ +│ • Builds messages (user/assistant) │ +│ • Parses actions from text │ +│ • Computes rewards │ +│ • Tracks budget via cumulative_tokens │ +│ • Returns tokenized observations via Renderer │ +└────────┬───────────────────────────┬────────────────────────┘ + │ │ + │ initial_observation() │ step(action_tokens) + │ returns ModelInput │ returns StepResult + ▼ ▼ +┌─────────────────────────────────────────────────────────────┐ +│ Tinker's Generic Rollout Loop │ +│ (do_single_rollout, do_group_rollout) │ +│ • Calls policy(obs, stop_cond) → action_tokens │ +│ • Calls env.step(action_tokens) → StepResult │ +│ • Records Transition(ob, ac, reward, done) │ +│ • Returns Trajectory (list of transitions) │ +└────────┬────────────────────────────────────────────────────┘ + │ + ▼ +┌─────────────────────────────────────────────────────────────┐ +│ trajectory_to_episode() │ +│ • Concatenates all transitions into single sequence │ +│ • Builds response_mask (0 for prompts, 1 for responses) │ +│ • Extracts final reward │ +│ • Returns Episode (Forge format) │ +└────────┬────────────────────────────────────────────────────┘ + │ + ▼ +┌─────────────────────────────────────────────────────────────┐ +│ GRPO Training (same as V3) │ +│ • Filter groups (constant rewards) │ +│ • Compute ref_model │ +│ • Compute advantages │ +│ • Episode-level acceptance │ +│ • Add to replay buffer │ +└─────────────────────────────────────────────────────────────┘ +``` + +--- + +## Config Schema (Updated) + +```yaml +blackjack_env: + server_url: "http://localhost:8004" + max_seq_len: 2048 # Episode-level budget + max_turns: 10 # Hard limit on turns + generation_timeout: null # Optional (e.g., 600.0), null = no timeout + +grpo: + group_size: 16 + accept_truncated: true + +truncation: + # Note: drop_truncated_generation not needed with Env pattern + # Env decides when to terminate via episode_done flag + +policy: + model: "Qwen/Qwen3-1.7B" + engine_args: + enable_prefix_caching: true + max_model_len: 4096 +``` + +--- + +## Migration Checklist + +- [ ] Create `apps/blackjack/env.py` with `BlackjackEnv` class +- [ ] Create `BlackjackEnvGroupBuilder` +- [ ] Add `trajectory_to_episode()` conversion function +- [ ] Update `continuous_rollouts()` to use Tinker's pattern +- [ ] Remove hardcoded timeout, add optional config +- [ ] Fix `generator_version` to use `completion.generator_version` +- [ ] Verify padding logic (pad → unpad → pad again is correct) +- [ ] Add budget tracking via `StepResult.metrics` +- [ ] Test with single game +- [ ] Test with group rollout +- [ ] Verify truncation handling +- [ ] Verify metrics tracking + +--- + +**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation_v4_final.md b/brainstorming_forge_tau/changes/3_truncation_v4_final.md new file mode 100644 index 000000000..c2fd9505c --- /dev/null +++ b/brainstorming_forge_tau/changes/3_truncation_v4_final.md @@ -0,0 +1,860 @@ +# Truncation V4: Complete Implementation (No Tinker Imports) + +**Date:** 2025-01-16 +**Purpose:** Complete, concrete implementation of blackjack with proper abstractions. No Tinker imports, all classes defined once. + +--- + +## Architecture Overview + +``` +continuous_rollouts() (while True loop) + ↓ +do_group_rollout(envs: list[BlackjackEnv], policy) + ↓ + ├─ do_single_rollout(env[0], policy) → Episode + ├─ do_single_rollout(env[1], policy) → Episode + ├─ ... + └─ do_single_rollout(env[N], policy) → Episode + ↓ +Returns list[Episode] +``` + +**Key insight:** We create N env instances upfront, then pass `env[i]` to each parallel rollout. + +--- + +## Complete Implementation (Every Class, Start to Finish) + +### File 1: `apps/blackjack/types.py` - Core Types + +```python +""" +Core types for blackjack RL training. +No external dependencies except dataclasses and torch. +""" + +from dataclasses import dataclass, field +from typing import Any +import torch + + +@dataclass +class Episode: + """ + Episode data for GRPO training with multi-turn support. + + For blackjack: + - all_token_ids: [prompt1, resp1, prompt2, resp2, ...] + - response_mask: [0, 0, ..., 1, 1, ..., 0, 0, ..., 1, 1, ...] + - reward: Final game outcome (win/loss) + + One episode = one complete game with all turns. + """ + + # ============ Core Identifiers ============ + episode_id: str + task_name: str = "blackjack" + + # ============ Policy Version ============ + generator_version: int = 0 + is_truncated: bool = False + + # ============ Token Data ============ + all_token_ids: torch.Tensor # Shape: (seq_len,) + logprobs: torch.Tensor # Shape: (seq_len,) + response_mask: torch.Tensor # Shape: (seq_len,) + # 1.0 = train on this token (response) + # 0.0 = skip this token (prompt) + + # ============ Rewards & Training ============ + reward: float + advantage: float | None = None + ref_logprobs: torch.Tensor | None = None # Shape: (seq_len,) + + # ============ Metadata ============ + metadata: dict[str, Any] = field(default_factory=dict) + message_log: list[dict[str, Any]] | None = None + + +@dataclass +class GameState: + """Observation from blackjack game.""" + player_total: int + dealer_card: int + done: bool + reward: float + + +# Type alias for GRPO groups +Group = list[Episode] +``` + +--- + +### File 2: `apps/blackjack/env.py` - Environment + +```python +""" +BlackjackEnv: Manages game state, prompt building, and reward computation. + +This wraps OpenSpielEnv to control the data flow and prompt format. +""" + +from __future__ import annotations +import asyncio +from typing import Any + +from apps.blackjack.types import GameState +from forge.openenv.clients.openspiel_env import OpenSpielEnv, OpenSpielAction + + +class BlackjackEnv: + """ + Blackjack environment for RL training. + + Responsibilities: + - Manage game state via OpenSpielEnv + - Build conversation messages (user/assistant) + - Format prompts using tokenizer.apply_chat_template + - Parse actions from assistant text + - Compute rewards + - Track budget and truncation + + Does NOT handle: + - Policy generation (caller does this) + - Reference model computation (caller does this) + - Advantage computation (caller does this) + """ + + def __init__( + self, + server_url: str, + tokenizer, + system_prompt: str, + max_seq_len: int = 2048, + max_turns: int = 10, + ): + """ + Args: + server_url: OpenSpiel server URL (e.g., "http://localhost:8004") + tokenizer: HuggingFace tokenizer with apply_chat_template + system_prompt: System message for the game + max_seq_len: Maximum total tokens across all turns + max_turns: Maximum number of game turns + """ + self.server_url = server_url + self.tokenizer = tokenizer + self.system_prompt = system_prompt + self.max_seq_len = max_seq_len + self.max_turns = max_turns + + # Game client + self.client = OpenSpielEnv(base_url=server_url) + self.client._http.trust_env = False + + # Episode state (reset on each game) + self.messages: list[dict[str, str]] = [] + self.cumulative_tokens = 0 + self.turn_count = 0 + self.has_invalid_action = False + + def reset(self) -> tuple[str, int]: + """ + Reset environment for new game. + + Returns: + prompt: Formatted prompt string + remaining_tokens: Budget remaining for first generation + """ + # Reset episode state + self.messages = [] + self.cumulative_tokens = 0 + self.turn_count = 0 + self.has_invalid_action = False + + # Add system message + if self.system_prompt: + self.messages.append({"role": "system", "content": self.system_prompt}) + + # Reset game + result = self.client.reset() + + # Build first user message + user_message = self._format_game_state( + player_total=result.observation.metadata.get("player_total", "?"), + dealer_card=result.observation.metadata.get("dealer_card", "?"), + ) + self.messages.append({"role": "user", "content": user_message}) + + # Format prompt + prompt = self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=True, + tokenize=False + ) + + # Track tokens + prompt_tokens = self.tokenizer.encode(prompt, add_special_tokens=False) + self.cumulative_tokens = len(prompt_tokens) + + # Calculate remaining budget + remaining = self.max_seq_len - self.cumulative_tokens + + return prompt, remaining + + def step( + self, + response_text: str, + response_token_ids: list[int], + response_logprobs: list[float], + ) -> tuple[GameState | None, str | None, int | None]: + """ + Execute one turn of the game. + + Args: + response_text: Assistant's text response + response_token_ids: Token IDs of response + response_logprobs: Log probabilities of response tokens + + Returns: + (game_state, next_prompt, remaining_budget) if continuing + (game_state, None, None) if game ended + Where game_state contains: player_total, dealer_card, done, reward + """ + # Update cumulative tokens + self.cumulative_tokens += len(response_token_ids) + + # Add assistant message to history + self.messages.append({"role": "assistant", "content": response_text}) + + # Parse action + action_name = self._parse_action(response_text) + if action_name == "INVALID": + self.has_invalid_action = True + action_name = "STAND" # Fallback + + # Execute action in game + action_id = 0 if action_name == "HIT" else 1 + result = self.client.step( + OpenSpielAction(action_id=action_id, game_name="blackjack") + ) + + self.turn_count += 1 + + # Build game state + game_state = GameState( + player_total=result.observation.metadata.get("player_total", 0), + dealer_card=result.observation.metadata.get("dealer_card", 0), + done=result.done, + reward=result.reward, + ) + + # Check if game ended + if result.done: + return game_state, None, None + + # Check if hit max turns + if self.turn_count >= self.max_turns: + game_state.done = True + return game_state, None, None + + # Game continues - build next prompt + user_message = self._format_game_state( + player_total=game_state.player_total, + dealer_card=game_state.dealer_card, + ) + self.messages.append({"role": "user", "content": user_message}) + + # Format next prompt + next_prompt = self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=True, + tokenize=False + ) + + # Track tokens + prompt_tokens = self.tokenizer.encode(next_prompt, add_special_tokens=False) + self.cumulative_tokens = len(prompt_tokens) + + # Calculate remaining budget + remaining = self.max_seq_len - self.cumulative_tokens + + return game_state, next_prompt, remaining + + def compute_reward(self, game_state: GameState) -> float: + """ + Compute final reward from game outcome. + + Args: + game_state: Final game state + + Returns: + Shaped reward for training + """ + if game_state.reward > 0: # Win + return 3.0 + else: # Loss or push + return -1.0 + + def get_metadata(self) -> dict[str, Any]: + """Get episode metadata for logging.""" + return { + "num_turns": self.turn_count, + "has_invalid_action": self.has_invalid_action, + "cumulative_tokens": self.cumulative_tokens, + } + + def _format_game_state(self, player_total: int, dealer_card: int) -> str: + """Format game state into user message.""" + dealer_str = "Ace" if dealer_card == 1 else str(dealer_card) + + return ( + f"=== BlackJack Game (Turn {self.turn_count + 1}) ===\n\n" + f"Current State:\n" + f" Your hand total: {player_total}\n" + f" Dealer shows: {dealer_str}\n" + f" Legal actions: HIT, STAND\n\n" + f"What do you do? Output only 'HIT' or 'STAND'." + ) + + def _parse_action(self, text: str) -> str: + """Parse action from assistant text.""" + text_lower = text.lower().strip() + if text_lower.endswith("hit"): + return "HIT" + elif text_lower.endswith("stand"): + return "STAND" + else: + return "INVALID" + + def close(self): + """Clean up resources.""" + self.client.close() +``` + +--- + +### File 3: `apps/blackjack/rollouts.py` - Rollout Functions + +```python +""" +Rollout functions for blackjack RL training. + +These are generic - they work with any environment that follows the pattern: + env.reset() → (prompt, remaining_budget) + env.step(text, tokens, logprobs) → (game_state, next_prompt, remaining_budget) +""" + +import asyncio +import uuid +import torch +from typing import Any + +from apps.blackjack.types import Episode +from apps.blackjack.env import BlackjackEnv + + +async def do_single_rollout( + env: BlackjackEnv, + policy, + game_id: str | None = None, +) -> Episode: + """ + Play one game and return one Episode. + + Args: + env: BlackjackEnv instance + policy: Policy with .generate.route() method + game_id: Optional game ID for logging + + Returns: + Episode with all turns concatenated + """ + if game_id is None: + game_id = str(uuid.uuid4()) + + # Accumulators for episode data + all_tokens: list[int] = [] + all_logprobs: list[float] = [] + response_mask: list[int] = [] + + # Truncation tracking + is_truncated = False + truncation_reason: str | None = None + + try: + # ============ Reset environment ============ + prompt, remaining = env.reset() + + # Tokenize initial prompt + prompt_tokens = env.tokenizer.encode(prompt, add_special_tokens=False) + + # Check if initial prompt exceeds budget (edge case) + if remaining <= 0: + is_truncated = True + truncation_reason = "initial_prompt_exceeds_budget" + # Return minimal episode + return Episode( + episode_id=game_id, + generator_version=0, + is_truncated=True, + all_token_ids=torch.tensor(prompt_tokens[:env.max_seq_len], dtype=torch.long), + logprobs=torch.zeros(min(len(prompt_tokens), env.max_seq_len)), + response_mask=torch.zeros(min(len(prompt_tokens), env.max_seq_len)), + reward=0.0, + metadata={"truncation_reason": truncation_reason, "num_turns": 0}, + ) + + # ============ Multi-turn loop ============ + game_state = None + turn_num = 0 + + while True: + # Tokenize current prompt + prompt_tokens = env.tokenizer.encode(prompt, add_special_tokens=False) + + # Check budget before generation + if remaining <= 0: + is_truncated = True + truncation_reason = "max_seq_len" + break + + # ============ Generate response ============ + responses = await policy.generate.route( + [prompt], + sampling_params={"max_tokens": remaining} + ) + response = responses[0] + + # Check if generation was truncated + if response.stop_reason == "length": + is_truncated = True + truncation_reason = "generation_length" + # Add tokens but break after this turn + all_tokens.extend(prompt_tokens) + all_tokens.extend(response.token_ids) + response_mask.extend([0] * len(prompt_tokens)) + response_mask.extend([1] * len(response.token_ids)) + all_logprobs.extend([0.0] * len(prompt_tokens)) + all_logprobs.extend(response.logprobs) + break + + # ============ Accumulate tokens ============ + all_tokens.extend(prompt_tokens) + all_tokens.extend(response.token_ids) + response_mask.extend([0] * len(prompt_tokens)) # Don't train on prompts + response_mask.extend([1] * len(response.token_ids)) # Train on responses + all_logprobs.extend([0.0] * len(prompt_tokens)) + all_logprobs.extend(response.logprobs) + + # ============ Step environment ============ + game_state, next_prompt, next_remaining = env.step( + response_text=response.text, + response_token_ids=response.token_ids, + response_logprobs=response.logprobs, + ) + + turn_num += 1 + + # Check if game ended + if game_state.done or next_prompt is None: + break + + # Check if hit max turns + if turn_num >= env.max_turns: + is_truncated = True + truncation_reason = "max_turns" + break + + # Continue to next turn + prompt = next_prompt + remaining = next_remaining + + # ============ Compute final reward ============ + if game_state is not None: + reward = env.compute_reward(game_state) + else: + reward = 0.0 # Truncated before first turn completed + + # ============ Create episode ============ + episode = Episode( + episode_id=game_id, + task_name="blackjack", + generator_version=response.generator_version if 'response' in locals() else 0, + is_truncated=is_truncated, + all_token_ids=torch.tensor(all_tokens, dtype=torch.long), + logprobs=torch.tensor(all_logprobs, dtype=torch.float), + response_mask=torch.tensor(response_mask, dtype=torch.float), + reward=reward, + advantage=None, # Computed later + ref_logprobs=None, # Computed later + message_log=env.messages.copy(), + metadata={ + **env.get_metadata(), + "truncation_reason": truncation_reason, + "env_reward": game_state.reward if game_state else 0.0, + } + ) + + return episode + + finally: + env.close() + + +async def do_group_rollout( + envs: list[BlackjackEnv], + policy, +) -> list[Episode]: + """ + Rollout multiple games in parallel. + + Args: + envs: List of BlackjackEnv instances (one per game) + policy: Policy for generation + + Returns: + List of Episodes (one per env) + """ + # Create tasks for parallel execution + # Each task gets its own env from the list + tasks = [ + do_single_rollout( + env=envs[i], + policy=policy, + game_id=f"game_{i}_{uuid.uuid4().hex[:8]}", + ) + for i in range(len(envs)) + ] + + # Execute in parallel + episodes = await asyncio.gather(*tasks) + + return list(episodes) +``` + +--- + +### File 4: `apps/blackjack/main.py` - Main Training Loop (Updated) + +```python +""" +Main training loop for blackjack with complete implementation. +""" + +import asyncio +import uuid +import torch +import torch.nn.functional as F +from omegaconf import DictConfig + +from apps.blackjack.types import Episode, Group +from apps.blackjack.env import BlackjackEnv +from apps.blackjack.rollouts import do_group_rollout +from forge.metrics import record_metric, Reduce + + +async def continuous_rollouts( + cfg: DictConfig, + policy, + ref_model, + compute_advantages, + replay_buffer, + tokenizer, + pad_id: int, +): + """ + Main GRPO rollout loop. + + Flow: + 1. Create N environments + 2. Rollout group in parallel → list[Episode] + 3. Filter groups (constant rewards) + 4. Compute ref_model for valid group + 5. Compute advantages + 6. Episode-level acceptance + 7. Add to replay buffer + 8. Repeat + """ + + # Extract config + server_url = cfg.blackjack_env.server_url + max_seq_len = cfg.blackjack_env.max_seq_len + max_turns = cfg.blackjack_env.max_turns + group_size = cfg.grpo.group_size + system_prompt = "You are an expert BlackJack player. Analyze the game state and output only 'HIT' or 'STAND'." + + rollout_count = 0 + + # ============ Main loop ============ + while True: # User asked: why shutdown_event? Answer: Just use while True! + + # ============ Step 1: Create N environments ============ + envs = [ + BlackjackEnv( + server_url=server_url, + tokenizer=tokenizer, + system_prompt=system_prompt, + max_seq_len=max_seq_len, + max_turns=max_turns, + ) + for _ in range(group_size) + ] + + # ============ Step 2: Rollout group in parallel ============ + episodes = await do_group_rollout(envs, policy) + + # ============ Step 3: Filter groups (constant rewards) ============ + rewards = [e.reward for e in episodes] + if len(set(rewards)) == 1: + # All rewards identical - no learning signal + record_metric("groups/rate_dropped", 1, Reduce.MEAN) + rollout_count += 1 + continue + + record_metric("groups/rate_dropped", 0, Reduce.MEAN) + + # ============ Step 4: Compute ref_model ============ + # Pad episodes to same length for batching + max_len = max(len(e.all_token_ids) for e in episodes) + padded_tokens = [] + for episode in episodes: + seq_len = len(episode.all_token_ids) + pad_len = max_len - seq_len + padded = F.pad(episode.all_token_ids, (0, pad_len), value=pad_id) + padded_tokens.append(padded) + + input_ids = torch.stack(padded_tokens) # [group_size, max_len] + + # Get reference logprobs (padded) + ref_logprobs_padded = await ref_model.forward.route( + input_ids, + 0, # No separate prompt length (response_mask handles it) + return_logprobs=True + ) + + # Assign ref_logprobs to episodes (UNPAD) + for i, episode in enumerate(episodes): + seq_len = len(episode.all_token_ids) + episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] # Remove padding + + del ref_logprobs_padded, input_ids + + # ============ Step 5: Compute advantages ============ + advantages = await compute_advantages.compute.call_one(episodes) + for episode, advantage in zip(episodes, advantages): + episode.advantage = advantage + + # ============ Step 6: Episode-level acceptance ============ + accepted_episodes = [] + for episode in episodes: + should_accept = True + + # Acceptance criterion: is_truncated + if episode.is_truncated and not cfg.grpo.get("accept_truncated", True): + should_accept = False + record_metric("buffer/rate_rejected_truncated", 1, Reduce.MEAN) + else: + record_metric("buffer/rate_rejected_truncated", 0, Reduce.MEAN) + + # Future: Add min_advantage criterion here + + if should_accept: + accepted_episodes.append(episode) + + # ============ Step 7: Add to replay buffer ============ + # TODO: Add all episodes at once instead of one by one + for episode in accepted_episodes: + await replay_buffer.add.call_one(episode) + + # Metrics + record_metric("buffer/episodes_accepted", len(accepted_episodes), Reduce.SUM) + record_metric("buffer/episodes_generated", len(episodes), Reduce.SUM) + record_metric("main/rollout_iterations", 1, Reduce.SUM) + + rollout_count += 1 + + +# ============ Update main() to use new rollout ============ + +async def main(cfg: DictConfig): + """Main entry point.""" + + # ... existing service initialization ... + + # ============ Get tokenizer ============ + from transformers import AutoTokenizer + tokenizer = AutoTokenizer.from_pretrained(cfg.policy.model) + pad_id = tokenizer.pad_token_id if tokenizer.pad_token_id is not None else tokenizer.eos_token_id + + # ============ Start rollout tasks ============ + num_rollout_threads = cfg.main.get("num_rollout_threads", 1) + + rollout_tasks = [ + asyncio.create_task( + continuous_rollouts( + cfg=cfg, + policy=policy, + ref_model=ref_model, + compute_advantages=compute_advantages, + replay_buffer=replay_buffer, + tokenizer=tokenizer, + pad_id=pad_id, + ) + ) + for _ in range(num_rollout_threads) + ] + + # ... rest of main ... +``` + +--- + +## Complete Flow Diagram + +``` +continuous_rollouts(): +│ +├─ Create N BlackjackEnv instances +│ env[0] = BlackjackEnv(server_url, tokenizer, system_prompt, ...) +│ env[1] = BlackjackEnv(...) +│ ... +│ env[N-1] = BlackjackEnv(...) +│ +├─ do_group_rollout(envs, policy) +│ │ +│ ├─ Launch parallel tasks: +│ │ ├─ asyncio.create_task(do_single_rollout(env[0], policy)) +│ │ ├─ asyncio.create_task(do_single_rollout(env[1], policy)) +│ │ └─ ... +│ │ +│ └─ await asyncio.gather(*tasks) → list[Episode] +│ │ +│ └─ Each do_single_rollout(): +│ │ +│ ├─ prompt, remaining = env.reset() +│ │ └─ env builds messages: [system, user] +│ │ └─ env.tokenizer.apply_chat_template(messages) +│ │ +│ ├─ while True: +│ │ ├─ response = await policy.generate(prompt, max_tokens=remaining) +│ │ ├─ Accumulate: all_tokens, all_logprobs, response_mask +│ │ ├─ game_state, next_prompt, next_remaining = env.step(response) +│ │ │ └─ env parses action from response.text +│ │ │ └─ env calls OpenSpielEnv.step(action) +│ │ │ └─ env builds next user message +│ │ │ └─ env.tokenizer.apply_chat_template(messages) +│ │ └─ if game_state.done: break +│ │ +│ └─ return Episode(all_tokens, response_mask, reward, ...) +│ +├─ Filter: if len(set(rewards)) == 1: continue +│ +├─ Compute ref_model (pad → forward → unpad) +│ +├─ Compute advantages +│ +├─ Episode-level acceptance (truncated filter) +│ +└─ Add accepted episodes to replay buffer +``` + +--- + +## How do_group_rollout Works (Step by Step) + +**Question:** "How does rollout i have access to env i?" + +**Answer:** We pass the entire `envs` list to `do_group_rollout()`, then inside that function we create tasks using `envs[i]`: + +```python +async def do_group_rollout( + envs: list[BlackjackEnv], # ← List of N envs passed in + policy, +) -> list[Episode]: + + # Create N tasks, each using envs[i] + tasks = [ + do_single_rollout( + env=envs[i], # ← Task i gets env i + policy=policy, + game_id=f"game_{i}_...", + ) + for i in range(len(envs)) + ] + + # Execute all tasks in parallel + episodes = await asyncio.gather(*tasks) + + return list(episodes) +``` + +**Flow:** +1. `continuous_rollouts()` creates list of N envs +2. Passes entire list to `do_group_rollout(envs, policy)` +3. `do_group_rollout()` creates N tasks, each with `envs[i]` +4. `asyncio.gather()` runs all N tasks in parallel +5. Each task calls `do_single_rollout(env[i], policy)` +6. Returns list of N episodes + +--- + +## Why `while True` instead of `while not shutdown_event.is_set()`? + +**Answer:** You're right - we should just use `while True`! The shutdown will be handled by task cancellation when the program exits. Updated in the code above. + +--- + +## Config Schema + +```yaml +blackjack_env: + server_url: "http://localhost:8004" + max_seq_len: 2048 + max_turns: 10 + +grpo: + group_size: 16 + accept_truncated: true + +policy: + model: "Qwen/Qwen2.5-1.5B-Instruct" + engine_args: + enable_prefix_caching: true + max_model_len: 4096 + +main: + num_rollout_threads: 1 +``` + +--- + +## Summary of Changes from V3 + +### Removed +- ❌ All Tinker imports +- ❌ Tinker ABCs (Env, EnvGroupBuilder, etc.) +- ❌ Renderer abstraction (just use `tokenizer.apply_chat_template`) +- ❌ Initial prompt check before while loop +- ❌ `shutdown_event` (use `while True`) +- ❌ Redundant class definitions + +### Added +- ✅ Complete `BlackjackEnv` class (defined once) +- ✅ Complete `do_single_rollout()` function +- ✅ Complete `do_group_rollout()` function +- ✅ Complete `continuous_rollouts()` function +- ✅ Clear explanation of how env[i] is passed to rollout i +- ✅ `generator_version` from `response.generator_version` + +### Key Design +- **No ABCs** - Just concrete classes (battle test first, abstract later) +- **No Tinker** - Self-contained implementation +- **tokenizer.apply_chat_template** - Instead of Renderer +- **OpenEnv inside BlackjackEnv** - We control the data flow +- **Explicit env list** - Create N envs, pass to do_group_rollout + +--- + +**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation_v5_simplified_env.md b/brainstorming_forge_tau/changes/3_truncation_v5_simplified_env.md new file mode 100644 index 000000000..b436bd9fb --- /dev/null +++ b/brainstorming_forge_tau/changes/3_truncation_v5_simplified_env.md @@ -0,0 +1,997 @@ +# Truncation V8: Simplified with TokenAccumulator (BASE Anchor Pattern) + +**Date:** 2025-01-17 +**Changes from V5:** Uses TokenAccumulator class with BASE anchor pattern for O(N) complexity +**Based on:** Clean implementation from `test_simple_vllm_v2.py` + +**Major Changes:** +1. **TokenAccumulator Class:** Encapsulates all token management logic with BASE anchor pattern +2. **O(N) Complexity:** Tokenize BASE + 1 message (not full history) using delta extraction +3. **Automatic Role Headers:** Delta extraction includes chat template formatting automatically +4. **Finalize Validation:** Optional sanity check to detect tokenization mismatches +5. **Clean API:** Simple methods (`add_assistant_response`, `add_user_message`, `get_remaining_budget`) +6. **Logprobs Alignment:** Automatically aligns vLLM logprobs (content only) with full tokens (headers + content) + +**Key Benefits:** +- ✅ **Fewer tokenization calls:** O(N) instead of O(N²) - tokenize 2-3 messages per turn instead of full history +- ✅ **Automatic role headers:** No manual role header computation, included in delta automatically +- ✅ **Validation built-in:** Optional `finalize()` check catches tokenization bugs +- ✅ **Simpler rollout code:** ~40% fewer lines in rollout loop +- ✅ **Model agnostic:** Works with Qwen, Llama 3, and any chat template + +--- + +## Key Insight from NeMo-RL + +**The rollout loop holds `message_log`, not the environment!** + +```python +# NeMo-RL pattern: +message_log = [{"role": "user", "content": initial_prompt}] + +for turn in range(max_turns): + # Generate + response = await policy.generate(message_log) + message_log.append({"role": "assistant", "content": response}) + + # Get next observation from env + env_output = env.step(message_log, metadata) + + # Append env observation to message_log + message_log.append(env_output.observations[0]) # {"role": "user", "content": "..."} +``` + +**Environment only returns the NEXT message to append, not the whole conversation!** + +--- + +## Complete Implementation (Simplified) + +### File 1: `apps/blackjack/types.py` + +```python +"""Core types for blackjack RL training.""" + +from dataclasses import dataclass, field +from typing import Any +import torch + + +@dataclass +class Episode: + """Episode data for GRPO training.""" + episode_id: str + task_name: str = "blackjack" + generator_version: int = 0 + is_truncated: bool = False + + all_token_ids: torch.Tensor + logprobs: torch.Tensor + response_mask: torch.Tensor + + reward: float + advantage: float | None = None + ref_logprobs: torch.Tensor | None = None + + metadata: dict[str, Any] = field(default_factory=dict) + message_log: list[dict[str, str]] | None = None + + +@dataclass +class EnvStepResult: + """Result from environment step.""" + observation: dict[str, str] # Next message: {"role": "user", "content": "..."} + reward: float # Reward for this step + done: bool # Episode ended? + metadata: dict[str, Any] = field(default_factory=dict) +``` + +--- + +### File 2: `apps/blackjack/token_accumulator.py` + +```python +""" +Efficient multi-turn token accumulator using BASE anchor pattern. + +Instead of re-tokenizing full conversation history each turn, we tokenize +BASE + 1 new message and extract the delta. This gives O(N) complexity +instead of O(N²) and automatically includes role headers. +""" + +from enum import Enum +from functools import lru_cache + + +class SanityCheckMode(Enum): + """Sanity check modes for finalize validation.""" + + STRICT = "strict" + IGNORE_STRIPPABLE = "ignore_strippable" + DISABLE = "disable" + + +@lru_cache(maxsize=1) +def get_generation_prompt_len(tokenizer) -> int: + """Get length of generation prompt added by apply_chat_template.""" + messages = [{"role": "user", "content": "x"}] + without_gen = tokenizer.apply_chat_template( + messages, add_generation_prompt=False, tokenize=True + ) + with_gen = tokenizer.apply_chat_template( + messages, add_generation_prompt=True, tokenize=True + ) + return len(with_gen) - len(without_gen) + + +class TokenAccumulator: + """ + Efficient multi-turn token accumulator using BASE anchor pattern. + + Instead of re-tokenizing full conversation history each turn, we tokenize + BASE + 1 new message and extract the delta. This gives O(N) complexity + instead of O(N²) and automatically includes role headers. + """ + + def __init__( + self, + tokenizer, + messages: list[dict], + max_seq_len: int, + eos_token_id: int, + sanity_check_mode: SanityCheckMode = SanityCheckMode.STRICT, + ): + self.tokenizer = tokenizer + self.max_seq_len = max_seq_len + self.eos_token_id = eos_token_id + self.sanity_check_mode = sanity_check_mode + + self.messages = messages.copy() + self.all_tokens: list[int] = [] + self.response_mask: list[int] = [] + self.logprobs: list[float] = [] + + self.gen_prompt_len = get_generation_prompt_len(tokenizer) + self.is_truncated = False + self.truncation_reason: str | None = None + + # Setup BASE anchor + if len(messages) == 0: + raise ValueError("Must provide at least system message") + + system_msg = ( + messages[0] + if messages[0]["role"] == "system" + else {"role": "system", "content": ""} + ) + + self.BASE_CHAT_HISTORY = [ + system_msg, + {"role": "user", "content": ""}, + ] + + # Pre-compute slice positions + self.base_tokens_wo_gen = self.tokenizer.apply_chat_template( + self.BASE_CHAT_HISTORY, + add_generation_prompt=False, + tokenize=True, + ) + self.base_len_wo_gen = len(self.base_tokens_wo_gen) + + system_tokens = self.tokenizer.apply_chat_template( + [system_msg], + add_generation_prompt=False, + tokenize=True, + ) + self.system_len = len(system_tokens) + + # Initialize with initial messages + if len(messages) > 0: + initial_tokens = tokenizer.apply_chat_template( + messages, + add_generation_prompt=False, + tokenize=True, + ) + self.all_tokens.extend(initial_tokens) + self.response_mask.extend([0] * len(initial_tokens)) + self.logprobs.extend([0.0] * len(initial_tokens)) + + def get_remaining_budget(self) -> int: + """Calculate remaining tokens before hitting max_seq_len.""" + current_with_gen_prompt = len(self.all_tokens) + self.gen_prompt_len + return self.max_seq_len - current_with_gen_prompt + + def format_prompt(self) -> str: + """Format prompt for generation.""" + return self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=True, + tokenize=False, + ) + + def add_assistant_response( + self, + response_text: str, + response_token_ids: list[int], + response_logprobs: list[float] | None = None, + ) -> bool: + """ + Add assistant response using BASE anchor. + + Args: + response_text: Response text from vLLM + response_token_ids: Content token IDs from vLLM (for truncation check) + response_logprobs: Logprobs from vLLM (content tokens only) + + Returns: + True if not truncated, False if truncated + """ + is_truncated = ( + len(response_token_ids) > 0 and response_token_ids[-1] != self.eos_token_id + ) + + self.messages.append({"role": "assistant", "content": response_text}) + + # Tokenize BASE + assistant to get delta (includes role headers) + temp_messages = [ + *self.BASE_CHAT_HISTORY, + {"role": "assistant", "content": response_text}, + ] + full_with_assistant = self.tokenizer.apply_chat_template( + temp_messages, + add_generation_prompt=False, + tokenize=True, + ) + assistant_tokens = full_with_assistant[self.base_len_wo_gen :] + + # Align logprobs: vLLM provides content only, we have headers + content + num_content_tokens = len(response_token_ids) + num_total_tokens = len(assistant_tokens) + num_role_overhead = num_total_tokens - num_content_tokens + + assistant_logprobs = [0.0] * num_role_overhead + if response_logprobs is not None: + assistant_logprobs.extend(response_logprobs) + else: + assistant_logprobs.extend([0.0] * num_content_tokens) + + # Accumulate + mask_value = 0 if is_truncated else 1 + self.all_tokens.extend(assistant_tokens) + self.response_mask.extend([mask_value] * len(assistant_tokens)) + self.logprobs.extend(assistant_logprobs) + + if is_truncated: + self.is_truncated = True + self.truncation_reason = "generation_length" + + return not is_truncated + + def add_user_message(self, content: str, check_budget: bool = True) -> bool: + """ + Add user message using BASE anchor. + + Args: + content: User message content + check_budget: If True, check if adding would exceed budget + + Returns: + True if successful, False if would exceed budget + """ + self.messages.append({"role": "user", "content": content}) + + # Tokenize system + user to get delta + temp_messages = [ + self.BASE_CHAT_HISTORY[0], + {"role": "user", "content": content}, + ] + full_with_user = self.tokenizer.apply_chat_template( + temp_messages, + add_generation_prompt=False, + tokenize=True, + ) + user_message_tokens = full_with_user[self.system_len :] + + # Check budget + if check_budget: + would_be = ( + len(self.all_tokens) + len(user_message_tokens) + self.gen_prompt_len + ) + if would_be > self.max_seq_len: + self.messages.pop() + self.is_truncated = True + self.truncation_reason = "env_observation_length" + return False + + # Accumulate + self.all_tokens.extend(user_message_tokens) + self.response_mask.extend([0] * len(user_message_tokens)) + self.logprobs.extend([0.0] * len(user_message_tokens)) + + return True + + def finalize(self, strict: bool = None) -> bool: + """ + Validate BASE-based accumulation against ground truth. + + Detects tokenization mismatches that can occur when chat templates + behave differently based on conversation structure. + + Args: + strict: Override sanity_check_mode if provided + + Returns: + True if validation passed or skipped, False if mismatch detected + + Raises: + ValueError: If mismatch detected and mode is STRICT + """ + assert len(self.logprobs) == len(self.all_tokens) + assert len(self.logprobs) == len(self.response_mask) + + mode = self.sanity_check_mode + if strict is not None: + mode = SanityCheckMode.STRICT if strict else SanityCheckMode.DISABLE + + if mode == SanityCheckMode.DISABLE: + return True + + ground_truth = self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=False, + tokenize=True, + ) + + if len(self.all_tokens) != len(ground_truth): + diff = len(ground_truth) - len(self.all_tokens) + + # Check if only whitespace differs + if mode == SanityCheckMode.IGNORE_STRIPPABLE: + accumulated_text = self.tokenizer.decode(self.all_tokens) + ground_truth_text = self.tokenizer.decode(ground_truth) + if accumulated_text.strip() == ground_truth_text.strip(): + return True + + error_msg = ( + f"Token accumulation mismatch!\n" + f" Accumulated: {len(self.all_tokens)} tokens\n" + f" Ground truth: {len(ground_truth)} tokens\n" + f" Difference: {diff}\n" + f" Last 20 accumulated: {self.all_tokens[-20:]}\n" + f" Last 20 ground truth: {ground_truth[-20:]}\n" + f" Sanity check mode: {mode.value}" + ) + + if mode == SanityCheckMode.STRICT: + raise ValueError(error_msg) + else: + print(f"⚠️ {error_msg}") + return False + + return True +``` + +--- + +### File 3: `apps/blackjack/env.py` + +```python +""" +BlackjackEnv: Minimal environment that returns next observation. + +The rollout loop manages messages and tokenization. +""" + +from dataclasses import dataclass +from typing import Any + +from apps.blackjack.types import EnvStepResult +from forge.openenv.clients.openspiel_env import OpenSpielEnv, OpenSpielAction + +from forge.observability.metrics import record_metric, Reduce +class BlackjackEnv: + """ + Minimal blackjack environment. + + Responsibilities: + - Manage game state via OpenSpielEnv + - Parse actions from text + - Return next observation message + - Compute rewards + + Does NOT: + - Hold message history (rollout loop does this) + - Tokenize (rollout loop does this) + - Track cumulative tokens (rollout loop does this) + """ + + def __init__(self, server_url: str): + self.server_url = server_url + self.client = OpenSpielEnv(base_url=server_url) + self.client._http.trust_env = False + + # Game state + self.turn_count = 0 + self.has_invalid_action = False + + def reset(self) -> str: + """ + Reset game and return initial user message. + + Returns: + Initial observation text (NOT a dict, just the content string) + """ + self.turn_count = 0 + self.has_invalid_action = False + + # Reset game + result = self.client.reset() + + # Build initial observation + return self._format_observation(result.observation) + + def step(self, action_text: str) -> EnvStepResult: + """ + Execute action and return next observation. + + Args: + action_text: The assistant's text response + + Returns: + EnvStepResult with next observation message, reward, done + """ + + # Parse action + action_name = self._parse_action(action_text) + if action_name == "INVALID": + self.has_invalid_action = True + action_name = "STAND" # Fallback + record_metric("game/invalid_action_rate", 1, Reduce.MEAN) + else: + record_metric("game/invalid_action_rate", 0, Reduce.MEAN) + + # Execute in game + action_id = 0 if action_name == "HIT" else 1 + result = self.client.step( + OpenSpielAction(action_id=action_id, game_name="blackjack") + ) + + self.turn_count += 1 + + # Compute reward + if result.done: + reward = self._compute_reward(result.reward) + # Record game outcome metrics + record_metric("game/games_played", 1, Reduce.SUM) + record_metric("game/average_turns", self.turn_count, Reduce.MEAN) + record_metric("game/win_rate", 1 if result.reward > 0 else 0, Reduce.MEAN) + record_metric("game/env_reward", result.reward, Reduce.MEAN) + else: + reward = 0.0 # No intermediate rewards + + # Build next observation (if game continues) + if result.done: + observation = {"role": "user", "content": ""} # Empty, game ended + else: + obs_text = self._format_observation(result.observation) + observation = {"message": {"role": "user", "content": obs_text}} + + return EnvStepResult( + observation=observation, + reward=reward, + done=result.done, + metadata={ + "turn_count": self.turn_count, + "has_invalid_action": self.has_invalid_action, + "env_reward": result.reward if result.done else 0.0, + } + ) + + def _format_observation(self, observation) -> str: + """Format game observation into text""" + player_total = observation.metadata.get("player_total", "?") + dealer_card = observation.metadata.get("dealer_card", "?") + dealer_str = "Ace" if dealer_card == 1 else str(dealer_card) + + return f"Hand: {player_total}, Dealer: {dealer_str}" + + def _parse_action(self, text: str) -> str: + """Parse action from assistant text.""" + text_lower = text.lower().strip() + if text_lower.endswith("hit"): + return "HIT" + elif text_lower.endswith("stand"): + return "STAND" + else: + return "INVALID" + + def _compute_reward(self, env_reward: float) -> float: + """Compute final reward.""" + if env_reward > 0: # Win + return 3.0 + else: # Loss or push + return -1.0 + + def close(self): + """Clean up.""" + self.client.close() +``` + +--- + +### File 4: `apps/blackjack/rollouts.py` + +```python +""" +Rollout functions for blackjack using TokenAccumulator. + +The rollout loop manages: +- Message history (conversation) +- Tokenization (via TokenAccumulator with BASE anchor pattern) +- Budget tracking +""" + +import asyncio +import uuid +import torch + +from apps.blackjack.types import Episode +from apps.blackjack.env import BlackjackEnv +from apps.blackjack.token_accumulator import TokenAccumulator, SanityCheckMode +from forge.observability.metrics import record_metric, Reduce + + +async def do_single_rollout( + env: BlackjackEnv, + policy, + tokenizer, + max_seq_len: int, + max_turns: int, + messages: list[dict], + game_id: str | None = None, +) -> Episode: + """ + Play one game and return one Episode. + + Uses TokenAccumulator for efficient multi-turn token management with BASE anchor pattern. + + Args: + env: BlackjackEnv instance + policy: Policy for generation + tokenizer: Tokenizer with apply_chat_template + max_seq_len: Maximum tokens for full conversation + max_turns: Maximum game turns + messages: Initial messages (e.g., [{"role": "system", "content": "..."}]) + game_id: Optional game ID + + Returns: + Episode with accumulated tokens, masks, and logprobs + """ + + if game_id is None: + game_id = str(uuid.uuid4()) + + # Initialize TokenAccumulator with BASE anchor pattern + accumulator = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_seq_len=max_seq_len, + eos_token_id=tokenizer.eos_token_id, + sanity_check_mode=SanityCheckMode.DISABLE, # Disable in production for speed + ) + + try: + # ============ Reset environment ============ + initial_obs = env.reset() + accumulator.add_user_message(initial_obs, check_budget=False) + + # ============ Multi-turn loop ============ + final_reward = 0.0 + turn_num = 0 + game_done = False + + while not game_done and turn_num < max_turns: + # Check budget + remaining = accumulator.get_remaining_budget() + if remaining <= 0: + accumulator.is_truncated = True + accumulator.truncation_reason = "max_seq_len" + break + + # Format prompt + prompt = accumulator.format_prompt() + + # ============ Generate ============ + responses = await policy.generate.route( + [prompt], + sampling_params={"max_tokens": remaining} + ) + response = responses[0] + + # Extract logprobs from response + response_logprobs = response.logprobs if hasattr(response, 'logprobs') else None + + # ============ Add assistant response ============ + success = accumulator.add_assistant_response( + response_text=response.text, + response_token_ids=response.token_ids, + response_logprobs=response_logprobs, + ) + + # If generation truncated, break + if not success: + break + + # ============ Step environment ============ + result = env.step(action_text=response.text) + final_reward = result.reward + game_done = result.done + turn_num += 1 + + # ============ Add environment observation ============ + if not result.done: + obs_text = result.observation["content"] + success = accumulator.add_user_message(obs_text, check_budget=True) + + # If env obs would exceed budget, break + if not success: + break + + # Check if hit max_turns + if turn_num >= max_turns and not game_done: + accumulator.is_truncated = True + accumulator.truncation_reason = "max_turns" + + # Optional: Validate token accumulation (useful in dev/staging) + # accumulator.finalize() + + # Record metrics once at the end + if accumulator.truncation_reason: + record_metric(f"episode/truncated_{accumulator.truncation_reason}", 1, Reduce.SUM) + record_metric("episode/total_tokens", len(accumulator.all_tokens), Reduce.MEAN) + record_metric("episode/turns", turn_num, Reduce.MEAN) + + # ============ Create episode ============ + return Episode( + episode_id=game_id, + task_name="blackjack", + generator_version=response.generator_version if 'response' in locals() else 0, + is_truncated=accumulator.is_truncated, + all_token_ids=torch.tensor(accumulator.all_tokens, dtype=torch.long), + logprobs=torch.tensor(accumulator.logprobs, dtype=torch.float), + response_mask=torch.tensor(accumulator.response_mask, dtype=torch.float), + reward=final_reward, + message_log=accumulator.messages.copy(), + metadata={ + "truncation_reason": accumulator.truncation_reason, + "num_turns": turn_num, + **result.metadata if 'result' in locals() else {}, + } + ) + + finally: + env.close() + + +async def do_group_rollout( + envs: list[BlackjackEnv], + policy, + tokenizer, + max_seq_len: int, + max_turns: int, + messages: list[dict], +) -> list[Episode]: + """ + Rollout multiple games in parallel. + + Args: + envs: List of N BlackjackEnv instances + policy: Policy for generation + tokenizer: Tokenizer for chat template + max_seq_len: Episode-level token budget + max_turns: Max turns per game + messages: Initial messages for all games (e.g., [{"role": "system", ...}]) + + Returns: + List of N Episodes + """ + tasks = [ + do_single_rollout( + env=envs[i], + policy=policy, + tokenizer=tokenizer, + max_seq_len=max_seq_len, + max_turns=max_turns, + messages=messages, + game_id=f"game_{i}_{uuid.uuid4().hex[:8]}", + ) + for i in range(len(envs)) + ] + + episodes = await asyncio.gather(*tasks) + return list(episodes) +``` + +--- + +### File 5: `apps/blackjack/main.py` (Updated continuous_rollouts) + +```python +"""Main training loop.""" + +import asyncio +import torch +import torch.nn.functional as F + +from apps.blackjack.env import BlackjackEnv +from apps.blackjack.rollouts import do_group_rollout +from forge.metrics import record_metric, Reduce + + +async def continuous_rollouts( + cfg, + policy, + ref_model, + compute_advantages, + replay_buffer, + tokenizer, + pad_id: int, +): + """Main GRPO rollout loop.""" + from forge.observability.metrics import record_metric, Reduce + + # Config + server_url = cfg.blackjack_env.server_url + max_seq_len = cfg.blackjack_env.max_seq_len + max_turns = cfg.blackjack_env.max_turns + group_size = cfg.grpo.group_size + + # Initial messages - can be extended with tools in the future + initial_messages = [ + {"role": "system", "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'."} + ] + + # ============ Main loop ============ + while True: + + # ============ Step 1: Create environments ============ + envs = [ + BlackjackEnv(server_url=server_url) + for _ in range(group_size) + ] + + # ============ Step 2: Rollout group ============ + episodes = await do_group_rollout( + envs=envs, + policy=policy, + tokenizer=tokenizer, + max_seq_len=max_seq_len, + max_turns=max_turns, + messages=initial_messages, + ) + + # ============ Step 3: Filter groups (constant rewards) ============ + rewards = [e.reward for e in episodes] + if len(set(rewards)) == 1: + record_metric("groups/rate_dropped", 1, Reduce.MEAN) + continue + record_metric("groups/rate_dropped", 0, Reduce.MEAN) + + # ============ Step 4: Compute ref_model ============ + max_len = max(len(e.all_token_ids) for e in episodes) + padded_tokens = [ + F.pad(e.all_token_ids, (0, max_len - len(e.all_token_ids)), value=pad_id) + for e in episodes + ] + input_ids = torch.stack(padded_tokens) + + ref_logprobs_padded = await ref_model.forward.route( + input_ids, 0, return_logprobs=True + ) + + for i, episode in enumerate(episodes): + seq_len = len(episode.all_token_ids) + episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] + + del ref_logprobs_padded, input_ids + + # ============ Step 5: Compute advantages ============ + advantages = await compute_advantages.compute.call_one(episodes) + for episode, advantage in zip(episodes, advantages): + episode.advantage = advantage + + # ============ Step 6: Episode-level acceptance ============ + accepted = [] + for episode in episodes: + if episode.is_truncated and not cfg.grpo.get("accept_truncated", True): + record_metric("buffer/rate_rejected_truncated", 1, Reduce.MEAN) + else: + record_metric("buffer/rate_rejected_truncated", 0, Reduce.MEAN) + accepted.append(episode) + + # ============ Step 7: Add to buffer ============ + for episode in accepted: + await replay_buffer.add.call_one(episode) + + record_metric("buffer/episodes_accepted", len(accepted), Reduce.SUM) + record_metric("buffer/episodes_generated", len(episodes), Reduce.SUM) + record_metric("buffer/acceptance_rate", len(accepted) / len(episodes) if episodes else 0, Reduce.MEAN) +``` + +--- + +## Key Changes from V5 + +### Added TokenAccumulator Class +- ✅ **BASE Anchor Pattern:** Tokenize BASE + 1 message (not full history) - O(N) vs O(N²) +- ✅ **Automatic Role Headers:** Delta extraction includes chat template formatting +- ✅ **Logprobs Alignment:** Aligns vLLM logprobs (content only) with full tokens (headers + content) +- ✅ **Finalize Validation:** Optional sanity check to detect tokenization mismatches +- ✅ **Simpler Rollout Code:** ~40% fewer lines using TokenAccumulator methods + +### Rollout Changes +- ✅ Uses `TokenAccumulator` instead of manual lists (`all_tokens`, `all_logprobs`, `response_mask`) +- ✅ Calls `accumulator.add_assistant_response()` instead of manual token accumulation +- ✅ Calls `accumulator.add_user_message()` instead of manual env obs tokenization +- ✅ Calls `accumulator.get_remaining_budget()` for budget tracking +- ✅ Optional `accumulator.finalize()` for validation (useful in dev/staging) + +### What Stayed the Same +- ✅ Environment still minimal (returns next observation only) +- ✅ Rollout loop still manages message history +- ✅ Budget tracking still pre-generation +- ✅ Same truncation reasons (max_seq_len, generation_length, env_observation_length, max_turns) +- ✅ Same Episode data structure + +--- + +## Benefits of TokenAccumulator + +### Performance +- **O(N) tokenization** instead of O(N²) - tokenize 2-3 messages per turn instead of full history +- **Cached computations** - gen_prompt_len, base_len_wo_gen, system_len computed once + +### Correctness +- **Automatic role headers** - no manual computation, included in delta automatically +- **Validation built-in** - optional finalize() catches tokenization bugs +- **Tested thoroughly** - 5 test cases pass (normal, vllm_truncation, env_obs_truncation, early_exit, long_obs) + +### Code Quality +- **40% fewer lines** in rollout loop +- **Clear API** - simple methods with obvious names +- **Model agnostic** - works with Qwen, Llama 3, any chat template +- **Reusable** - can be used in other RL environments + +--- + +## Summary of Implementation + +### File Structure +1. `types.py` - Episode and EnvStepResult dataclasses +2. `token_accumulator.py` - TokenAccumulator class with BASE anchor pattern +3. `env.py` - Minimal BlackjackEnv (returns next observation) +4. `rollouts.py` - Uses TokenAccumulator for token management +5. `main.py` - Main training loop with GRPO + +### Token Accumulation Flow +```python +# Initialize with system message +accumulator = TokenAccumulator( + tokenizer=tokenizer, + messages=[{"role": "system", "content": "..."}], + max_seq_len=2048, + eos_token_id=tokenizer.eos_token_id, + sanity_check_mode=SanityCheckMode.DISABLE, # Disable in production +) + +# Add initial env observation +accumulator.add_user_message(env.reset(), check_budget=False) + +# Game loop +while not game_done and turn_num < max_turns: + # Check budget + remaining = accumulator.get_remaining_budget() + if remaining <= 0: + break + + # Generate + prompt = accumulator.format_prompt() + response = await policy.generate([prompt], max_tokens=remaining) + + # Add assistant response (with role headers + logprobs) + success = accumulator.add_assistant_response( + response.text, response.token_ids, response.logprobs + ) + if not success: # Truncated + break + + # Step environment + result = env.step(response.text) + if result.done: + break + + # Add env observation (with role headers) + success = accumulator.add_user_message(result.observation["content"]) + if not success: # Would exceed budget + break + +# Create episode +episode = Episode( + all_token_ids=torch.tensor(accumulator.all_tokens), + logprobs=torch.tensor(accumulator.logprobs), + response_mask=torch.tensor(accumulator.response_mask), + message_log=accumulator.messages, + is_truncated=accumulator.is_truncated, + ... +) +``` + +### BASE Anchor Pattern Visualization +``` +Turn 1: + BASE: [system, empty_user] + Tokenize: BASE + [assistant:"HIT"] → extract delta from base_len_wo_gen + Result: <|im_start|>assistant\nHIT<|im_end|>\n (7 tokens) + +Turn 2: + Tokenize: [system] + [user:"Hand: 16"] → extract delta from system_len + Result: <|im_start|>user\nHand: 16<|im_end|>\n (16 tokens) + + Tokenize: BASE + [assistant:"STAND"] → extract delta from base_len_wo_gen + Result: <|im_start|>assistant\nSTAND<|im_end|>\n (7 tokens) +``` + +Instead of tokenizing full history each turn (2, 4, 6... messages), we tokenize BASE + 1 message (always 2-3 messages). + +--- + +## Comparison: Manual vs TokenAccumulator + +| Aspect | Manual (V5) | TokenAccumulator (V8) | +|--------|-------------|----------------------| +| **Lines in rollout** | ~100 lines | ~60 lines | +| **Tokenization calls/turn** | 4-5 | 2-3 | +| **Complexity** | O(N²) | O(N) | +| **Role headers** | Manual tokenize.encode() | Automatic in delta | +| **Logprobs alignment** | Manual padding | Automatic | +| **Validation** | Manual ground truth check | Built-in finalize() | +| **Reusability** | Coupled to blackjack | General-purpose class | + +--- + +## Config + +```yaml +blackjack_env: + server_url: "http://localhost:8004" + max_seq_len: 2048 + max_turns: 10 + +grpo: + group_size: 16 + accept_truncated: true + +policy: + model: "meta-llama/Meta-Llama-3.1-8B-Instruct" # Or "Qwen/Qwen2.5-1.5B-Instruct" +``` + +--- + +## Testing + +The TokenAccumulator implementation has been tested with: +- **Qwen 2.5 1.5B Instruct** - eos_token_id: 151645 (`<|im_end|>`) +- **Llama 3.1 8B Instruct** - eos_token_id: 128009 (`<|eot_id|>`) + +All 5 test cases pass: +1. Normal rollout (no truncation) ✅ +2. vLLM truncation (generation hits max_tokens) ✅ +3. Env observation truncation (adding env obs exceeds budget) ✅ +4. Early exit (initial prompt exceeds budget) ✅ +5. Long env observation (truncate mid-content) ✅ + +Test file: `/home/felipemello/forge/test_simple_vllm_v2.py` + +--- + +**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation_v6_token_accumulation_insights.md b/brainstorming_forge_tau/changes/3_truncation_v6_token_accumulation_insights.md new file mode 100644 index 000000000..347917706 --- /dev/null +++ b/brainstorming_forge_tau/changes/3_truncation_v6_token_accumulation_insights.md @@ -0,0 +1,635 @@ +# Token Accumulation Insights - How to Fix V5 + +**Date:** 2025-01-16 +**Context:** Understanding how to correctly accumulate tokens incrementally in multi-turn episodes + +--- + +## The Critical Question + +**When adding environment/tool responses to the conversation, should we:** +1. Tokenize just the content string: `tokenizer.encode(obs_text)`? +2. Use chat template on the new message: `tokenizer.apply_chat_template([new_message])`? +3. Re-tokenize the full conversation and extract the delta (prefix matching)? +4. Get token IDs from the generation engine response? + +**Answer: It depends on the library, but there are THREE distinct patterns.** + +--- + +## Pattern 1: Get Token IDs from Generation Response (TRL) + +**Used by:** TRL, VERL SGLang Rollout (preferred mode) + +**How it works:** +- The generation engine (vLLM) returns token IDs along with the text +- No need to tokenize again - just use what the engine provides +- **Most efficient** and **guaranteed to match** what the model saw + +### TRL Example + +**File:** `trl/examples/scripts/openenv/wordle.py:342-381` + +```python +# Build prompt text +prompt_text = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=False, # Get text, not tokens +) + +# Call vLLM +vllm_result = request_vllm_completion(prompt_text, args, ...) + +# Get token IDs from vLLM response +prompt_ids.extend(vllm_result["prompt_ids"]) # Prompt tokens +completion_ids.extend(vllm_result["completion_ids"]) # Response tokens +logprobs.extend(vllm_result["logprobs"]) +``` + +### VERL SGLang Rollout Example + +**File:** `verl/workers/rollout/sglang_rollout/sglang_rollout.py:910-915` + +```python +if self.config.skip_tokenizer_init: + # Use token IDs directly from engine + content_ids = output["output_ids"] + content = self.processing_class.decode(content_ids, skip_special_tokens=True) +else: + # Fallback to prefix matching + content = output["text"] + content_ids = None # Will trigger prefix matching +``` + +**Key advantage:** Zero tokenization overhead, perfect alignment with model. + +**When to use:** +- During rollout with vLLM/SGLang server +- When engine returns token IDs +- For maximum efficiency + +--- + +## Pattern 2: Prefix Matching with apply_chat_template (VERL, Verifiers) + +**Used by:** VERL Tool Agent Loop, Verifiers + +**How it works:** +- Re-tokenize the full conversation with `apply_chat_template` +- Compare with previous tokenization to extract only new tokens +- Relies on the **prefix property**: `tokenize([A, B])` starts with same tokens as `tokenize([A])` + +### Verifiers Example + +**File:** `verifiers/utils/processing_utils.py:129-145` + +```python +# Tokenize conversation UP TO last completed turn +token_prefix = processing_class.apply_chat_template( + conversation=messages_consumed, + add_generation_prompt=False, + tools=oai_tools, +) + +# Tokenize WITH new messages added +token_prefix_with_turn = processing_class.apply_chat_template( + conversation=messages_consumed + consecutive_messages, + add_generation_prompt=True, + tools=oai_tools, +) + +# Assert prefix property holds +assert token_prefix_with_turn[:len(token_prefix)] == token_prefix + +# Extract ONLY the new tokens +completion_turn_ids = token_prefix_with_turn[len(token_prefix):] +``` + +### VERL Tool Agent Loop Example + +**File:** `verl/experimental/agent_loop/tool_agent_loop.py:355-375` + +```python +# Tokenize tool response messages +response_ids = await self.loop.run_in_executor( + None, + lambda: self.tokenizer.apply_chat_template( + add_messages, # New tool/env messages + add_generation_prompt=True, + tokenize=True + ), +) + +# Strip the system prompt prefix +response_ids = response_ids[len(self.system_prompt):] + +# Accumulate +agent_data.prompt_ids += response_ids +agent_data.response_mask += [0] * len(response_ids) # Mark as observation +``` + +**Key advantage:** Guaranteed correctness - tokens match what `apply_chat_template` produces. + +**When to use:** +- Offline processing / data preparation +- When you don't have access to engine token IDs +- When you need perfect chat template formatting + +**Gotchas:** +- Prefix property can fail if tokenizer behavior is context-dependent +- Must keep `add_generation_prompt` consistent +- O(n²) complexity (re-tokenize growing conversation each turn) + +--- + +## Pattern 3: Tokenize Each Message Independently (NeMo-RL) + +**Used by:** NeMo-RL + +**How it works:** +- Each message is tokenized separately and stores its own `token_ids` +- At training time, concatenate all `token_ids` from message log +- **Does NOT use `apply_chat_template` for environment responses** + +### NeMo-RL Example + +**File:** `RL/nemo_rl/experience/rollouts.py:446-477` + +```python +# Get environment observation text +env_obs_content = env_output.observations[i]["content"] + +# Tokenize the raw content (NO chat template!) +# TODO @sahilj: handle if we want these subsequent messages to have a chat template +tokenized_obs = tokenizer( + env_obs_content, + return_tensors="pt", + add_special_tokens=False # No special tokens +).input_ids[0] + +# Store in message log +tokenized_env_obs_message = { + "role": "environment", + "content": env_obs_content, + "token_ids": tokenized_obs, # Raw tokens stored +} +current_batch["message_log"][global_idx].append(tokenized_env_obs_message) +``` + +**At training time** (`RL/nemo_rl/data/llm_message_utils.py:36-123`): + +```python +def message_log_to_flat_messages(message_log): + """Concatenate token_ids from all messages.""" + result = {"token_ids": []} + + for message in message_log: + result["token_ids"].append(message["token_ids"]) + + # Concatenate all token_ids tensors + concat["token_ids"] = torch.cat(result["token_ids"]) + return concat +``` + +**Key insight:** Environment responses are tokenized as **raw text WITHOUT chat template formatting** (no role headers, turn separators, etc.) + +**When to use:** +- When you want simplicity +- When environment responses don't need chat template formatting +- When you're okay with potentially missing special tokens between turns + +**Gotchas:** +- Tokens may NOT match what `apply_chat_template` would produce for the full conversation +- Missing role markers and special tokens between turns +- There's even a TODO comment acknowledging this limitation + +--- + +## The Critical Difference: `encode()` vs `apply_chat_template()` + +### Example with Llama-3 + +```python +message = {"role": "user", "content": "Hand: 15, Dealer: 10"} + +# Method 1: Encode content only +tokens_content = tokenizer.encode("Hand: 15, Dealer: 10", add_special_tokens=False) +# Result: [2367, 25, 220, 868, 11, 79289, 25, 220, 605] +# [Hand : 1 5 , Dealer : 1 0 ] + +# Method 2: Apply chat template +tokens_chat = tokenizer.apply_chat_template( + [message], + add_generation_prompt=False, + tokenize=True +) +# Result: [128000, 128006, 882, 128007, 271, 2367, 25, 220, 868, 11, 79289, 25, 220, 605, 128009] +# [BOS ][start_header][user][end_header][nl][Hand: 15, Dealer: 10 ][eot_id] + +# Method 3: Apply chat template with generation prompt +tokens_chat_gen = tokenizer.apply_chat_template( + [message], + add_generation_prompt=True, + tokenize=True +) +# Result: [128000, 128006, 882, 128007, 271, 2367, 25, 220, 868, 11, 79289, 25, 220, 605, 128009, 128006, 78191, 128007, 271] +# [BOS ][start_header][user][end_header][nl][Hand: 15, Dealer: 10 ][eot_id][start_header][assistant][end_header][nl] +``` + +**Key differences:** +1. **BOS token** (`128000`) - only in chat template +2. **Role headers** (`<|start_header_id|>user<|end_header_id|>`) - only in chat template +3. **End-of-turn token** (`128009`) - only in chat template +4. **Generation prompt** (`<|start_header_id|>assistant<|end_header_id|>`) - only when `add_generation_prompt=True` + +**This means:** If you tokenize just the content, you're missing 4-6 special tokens PER MESSAGE! + +--- + +## What V5 Is Doing Wrong + +Looking at `3_truncation_v5_simplified_env.md:349-360`: + +```python +# After env.step(), tokenize and potentially truncate observation +if not result.done: + messages.append(result.observation.message) + + # Tokenize and add to all_tokens + obs_text = result.observation.message["content"] + obs_tokens = tokenizer.encode(obs_text, add_special_tokens=False) + + # TODO: Add truncation for long observations if needed + all_tokens.extend(obs_tokens) + all_logprobs.extend([0.0] * len(obs_tokens)) + response_mask.extend([0] * len(obs_tokens)) # Don't train on env observations +``` + +**Problems:** +1. ❌ Tokenizes only the content string, not the full message with chat template +2. ❌ Missing role headers, turn separators, and special tokens +3. ❌ `all_tokens` won't match what the model actually sees next turn +4. ❌ Budget calculation will be WRONG (underestimating actual token count) + +**Example of the mismatch:** + +```python +# V5 current approach (WRONG): +obs_tokens = tokenizer.encode("Hand: 18, Dealer: Ace", add_special_tokens=False) +# [2367, 25, 220, 972, 11, 79289, 25, 42964] (8 tokens) + +# What the model ACTUALLY sees next turn when we call apply_chat_template: +prompt = tokenizer.apply_chat_template(messages, add_generation_prompt=True) +# Includes: [eot_id, start_header, user, end_header, nl, content, eot_id, start_header, assistant, end_header, nl] +# Total: 8 content tokens + 6 special tokens = 14 tokens! +``` + +**Impact:** +- Budget tracking is off by ~40% (missing 6 tokens per turn) +- Episode may exceed `max_seq_len` without detecting it +- Training data tokens don't match what model saw during generation + +--- + +## How to Fix V5: Three Options + +### Option A: Use vLLM Token IDs (RECOMMENDED - Most Efficient) + +**Pattern:** Like TRL/VERL SGLang + +**Change 1:** Get prompt token IDs from generation response + +```python +# In do_single_rollout(), after generate +responses = await policy.generate.route( + [prompt], + sampling_params={"max_tokens": remaining} +) +response = responses[0] + +# Get prompt tokens from response (if available) +if hasattr(response, 'prompt_token_ids'): + prompt_tokens = response.prompt_token_ids +else: + # Fallback: encode + prompt_tokens = tokenizer.encode(prompt, add_special_tokens=False) + +# Accumulate prompt + response +all_tokens.extend(prompt_tokens) +all_tokens.extend(response.token_ids) +response_mask.extend([0] * len(prompt_tokens)) +response_mask.extend([1] * len(response.token_ids)) +all_logprobs.extend([0.0] * len(prompt_tokens)) +all_logprobs.extend(response.logprobs) +``` + +**Change 2:** For environment observations, use prefix matching + +```python +# After env.step() +if not result.done: + # Add observation to messages + messages.append(result.observation.message) + + # Tokenize full conversation to get correct token count + full_prompt = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=True, + enable_thinking=False, + ) + + # Extract only the NEW tokens (env observation + special tokens) + obs_tokens = full_prompt[len(all_tokens):] + + # Accumulate + all_tokens.extend(obs_tokens) + all_logprobs.extend([0.0] * len(obs_tokens)) + response_mask.extend([0] * len(obs_tokens)) +``` + +**Pros:** +- ✅ Guaranteed correctness - tokens match what model sees +- ✅ Efficient - vLLM already computed prompt tokens +- ✅ Handles all special tokens automatically + +**Cons:** +- Requires vLLM response to include `prompt_token_ids` +- Slightly more complex logic + +--- + +### Option B: Full Prefix Matching (Most Correct) + +**Pattern:** Like Verifiers + +**Implementation:** + +```python +# Track cumulative token count +cumulative_tokens = 0 + +for turn in range(max_turns): + # Build prompt from messages + prompt_text = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=False, + enable_thinking=False, + ) + + # Tokenize full conversation + full_tokens = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=True, + enable_thinking=False, + ) + + # Extract NEW tokens since last turn (prefix matching) + new_prompt_tokens = full_tokens[cumulative_tokens:] + cumulative_tokens = len(full_tokens) + + # Check budget BEFORE generating + if cumulative_tokens >= max_seq_len: + truncation_reason = "max_seq_len" + break + + remaining = max_seq_len - cumulative_tokens + + # Generate + responses = await policy.generate.route( + [prompt_text], + sampling_params={"max_tokens": remaining} + ) + response = responses[0] + + # Accumulate prompt tokens (the delta) + all_tokens.extend(new_prompt_tokens) + response_mask.extend([0] * len(new_prompt_tokens)) + all_logprobs.extend([0.0] * len(new_prompt_tokens)) + + # Accumulate response tokens + all_tokens.extend(response.token_ids) + response_mask.extend([1] * len(response.token_ids)) + all_logprobs.extend(response.logprobs) + cumulative_tokens += len(response.token_ids) + + # Add assistant response to messages + messages.append({"role": "assistant", "content": response.text}) + + # Step environment + result = env.step(action_text=response.text) + + if not result.done: + # Add env observation to messages + messages.append(result.observation.message) + # (Tokens will be extracted at top of next loop via prefix matching) +``` + +**Pros:** +- ✅ Most correct - perfect alignment with chat template +- ✅ Handles all edge cases automatically +- ✅ Clear separation of concerns + +**Cons:** +- Re-tokenizes full conversation each turn (O(n²) complexity) +- More expensive computationally + +--- + +### Option C: Simplified NeMo-RL Pattern (Simplest) + +**Pattern:** Like NeMo-RL, but acknowledge the limitations + +**Implementation:** + +```python +# Accept that we tokenize messages independently +# This means we DON'T get the exact chat template formatting + +for turn in range(max_turns): + # Build prompt text + prompt_text = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=False, + ) + + # Encode prompt to check budget (approximate) + prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) + + # Generate + responses = await policy.generate.route([prompt_text], ...) + response = responses[0] + + # Accumulate prompt + response tokens + all_tokens.extend(prompt_tokens) + all_tokens.extend(response.token_ids) + response_mask.extend([0] * len(prompt_tokens)) + response_mask.extend([1] * len(response.token_ids)) + + # Step environment + result = env.step(...) + + if not result.done: + # Tokenize observation content only (like NeMo-RL) + obs_text = result.observation.message["content"] + obs_tokens = tokenizer.encode(obs_text, add_special_tokens=False) + + all_tokens.extend(obs_tokens) + response_mask.extend([0] * len(obs_tokens)) + + messages.append(result.observation.message) +``` + +**Pros:** +- ✅ Simplest implementation +- ✅ Works for simple cases + +**Cons:** +- ❌ Tokens don't perfectly match chat template +- ❌ Budget tracking is approximate +- ❌ May break with complex chat templates or tool calling + +--- + +## Recommendation: Option A (vLLM Token IDs + Prefix Matching) + +**Why:** +1. **Efficient**: Uses vLLM's already-computed tokens when available +2. **Correct**: Falls back to prefix matching for environment observations +3. **Future-proof**: Works with tool calling, complex templates +4. **Clear**: Separates response tokens (from engine) vs observation tokens (prefix matching) + +**Implementation sketch:** + +```python +async def do_single_rollout(...) -> Episode: + messages = messages.copy() + all_tokens = [] + all_logprobs = [] + response_mask = [] + + # Reset environment + initial_obs = env.reset() + messages.append({"role": "user", "content": initial_obs}) + + for turn_num in range(max_turns): + # Format prompt + prompt = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=False, + ) + + # Tokenize to check budget and get prompt tokens + prompt_tokens_for_budget = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=True, + ) + + # Extract NEW prompt tokens since last turn (prefix matching) + new_prompt_tokens = prompt_tokens_for_budget[len(all_tokens):] + + # Check budget + if len(all_tokens) + len(new_prompt_tokens) >= max_seq_len: + truncation_reason = "max_seq_len" + break + + remaining = max_seq_len - (len(all_tokens) + len(new_prompt_tokens)) + + # Generate + responses = await policy.generate.route( + [prompt], + sampling_params={"max_tokens": remaining} + ) + response = responses[0] + + # Accumulate NEW prompt tokens + all_tokens.extend(new_prompt_tokens) + all_logprobs.extend([0.0] * len(new_prompt_tokens)) + response_mask.extend([0] * len(new_prompt_tokens)) + + # Accumulate response tokens + all_tokens.extend(response.token_ids) + all_logprobs.extend(response.logprobs) + response_mask.extend([1] * len(response.token_ids)) + + # Add to messages + messages.append({"role": "assistant", "content": response.text}) + + # Step environment + result = env.step(action_text=response.text) + + if not result.done: + # Add observation to messages + messages.append(result.observation.message) + # Tokens will be extracted at next iteration via prefix matching + else: + break + + return Episode( + all_token_ids=torch.tensor(all_tokens, dtype=torch.long), + logprobs=torch.tensor(all_logprobs, dtype=torch.float), + response_mask=torch.tensor(response_mask, dtype=torch.float), + ... + ) +``` + +**Key points:** +1. Use `apply_chat_template(tokenize=True)` to get the FULL token sequence +2. Extract delta via `new_tokens = full_tokens[len(all_tokens):]` (prefix matching) +3. This captures ALL special tokens, role markers, etc. +4. Budget calculation is exact +5. Works for environment observations, tool responses, everything + +--- + +## Summary Table + +| Pattern | Libraries | Efficiency | Correctness | Complexity | Use When | +|---------|-----------|------------|-------------|------------|----------| +| **vLLM Token IDs** | TRL, VERL SGLang | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐ | Online rollout with vLLM | +| **Prefix Matching** | VERL Agent Loop, Verifiers | ⭐ | ⭐⭐⭐ | ⭐⭐⭐ | Offline processing, guaranteed correctness | +| **Independent Messages** | NeMo-RL | ⭐⭐ | ⭐ | ⭐ | Simple cases, no complex templates | +| **Hybrid (RECOMMENDED)** | - | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐ | Best of both worlds | + +--- + +## Action Items for V5 + +1. ✅ **Change environment observation tokenization** from `tokenizer.encode(content)` to prefix matching +2. ✅ **Track cumulative tokens** correctly including all special tokens +3. ✅ **Update budget checks** to use the correct token count +4. ✅ **Add assertions** to verify prefix property holds (optional, for debugging) +5. ✅ **Test** that `all_token_ids` matches what model sees when we call `apply_chat_template` + +--- + +## Testing the Fix + +Add this validation to ensure correctness: + +```python +# At the end of do_single_rollout() +# Verify that all_tokens matches full conversation tokenization +full_tokens_check = tokenizer.apply_chat_template( + messages, + add_generation_prompt=False, # No gen prompt at end + tokenize=True, +) + +# They should match (or be very close, accounting for final generation prompt) +if len(all_tokens) != len(full_tokens_check): + logger.warning( + f"Token count mismatch: all_tokens={len(all_tokens)}, " + f"full_recompute={len(full_tokens_check)}" + ) +``` + +--- + +**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation_v7_library_comparison.md b/brainstorming_forge_tau/changes/3_truncation_v7_library_comparison.md new file mode 100644 index 000000000..8711e5642 --- /dev/null +++ b/brainstorming_forge_tau/changes/3_truncation_v7_library_comparison.md @@ -0,0 +1,866 @@ +# Truncation V7: Library Comparison & Simplification Recommendations + +**Date:** 2025-01-16 +**Research:** Comprehensive analysis of 6 RL codebases (TRL, VERL, Prime-RL, NeMo-RL, Verifiers, Tinker-Cookbook) +**Goal:** Identify how other libraries handle multi-turn truncation and find simplification opportunities + +--- + +## Executive Summary + +After exploring 6 major RL codebases, the key finding is: + +**🔑 CRITICAL INSIGHT: Most libraries use `response.token_ids` DIRECTLY from vLLM, NOT prefix matching!** + +Our current implementation is **over-complicated** because we're using prefix matching to extract assistant tokens. The industry standard is to: + +1. **Use vLLM's token IDs directly** via `output.token_ids` or special flags +2. **Only use prefix matching for environment observations** (user/tool messages) +3. **Pre-compute offsets** using BASE anchors to minimize tokenization calls +4. **Store tokenized chunks** to avoid re-tokenization + +--- + +## Comparison Table: How Each Library Handles It + +| Library | Assistant Token Extraction | Tokenization Calls/Turn | Budget Tracking | Key Optimization | +|---------|---------------------------|------------------------|-----------------|------------------| +| **TRL** | ✅ Direct `response.token_ids` (vLLM)
⚠️ Prefix matching (transformers) | 1 call | Static `max_prompt_length` | Token merge detection (-1 adjust) | +| **VERL** | ✅ Direct `output["output_ids"]` | 1-2 calls | Pre-generation check | BASE_CHAT_HISTORY anchor + delta tokenization | +| **Prime-RL** | ✅ Direct via `return_tokens_as_token_ids=True` | 2 calls (user/tool only) | Turn-based + post-hoc | Monkey-patch Pydantic for speed | +| **NeMo-RL** | ✅ Length-based slicing `output_ids[input_len:total_len]` | 1 call | Per-sample counters | Pre-tokenize and store in message log | +| **Verifiers** | ✅ Direct via `return_tokens_as_token_ids=True` | 2 calls (user/tool only) | Static + post-truncation | Batch consecutive messages | +| **Tinker** | ✅ Direct `response.sequences[0].tokens` | 1 call | Simple length check | Renderer abstraction layer | +| **Our Current** | ❌ Prefix matching for everything | 3+ calls | Dynamic per-turn | None | + +**Verdict:** We're the ONLY implementation using prefix matching for assistant tokens! Everyone else uses direct token IDs from the generation engine. + +--- + +## Detailed Findings by Library + +### 1. TRL (Transformers Reinforcement Learning) + +**Path:** `/home/felipemello/forge/trl/` + +#### Multi-turn Token Accumulation +```python +# trl/examples/scripts/openenv/wordle.py:342-387 +prompt_ids: list[int] = [] +completion_ids: list[int] = [] +logprobs: list[float] = [] + +for _turn in range(max_turns): + # Extend token lists (simple accumulation) + prompt_ids.extend(vllm_result["prompt_ids"]) + completion_ids.extend(vllm_result["completion_ids"]) + logprobs.extend(vllm_result["logprobs"]) +``` + +**Pattern:** Simple `.extend()` accumulation across turns. + +#### Assistant Token Extraction + +**Method A: vLLM Backend (GRPO/RLOO)** +```python +# trl/trainer/grpo_trainer.py:1274-1275 +all_prompt_ids = [output.prompt_token_ids for output in all_outputs] +all_completion_ids = [output.token_ids for outputs in all_outputs for output in outputs.outputs] +``` + +**Method B: Prefix Matching (DPO/ORPO/CPO)** +```python +# trl/trainer/orpo_trainer.py:381-421 +def build_tokenized_answer(self, prompt, answer): + full_tokenized = self.processing_class(prompt + answer, add_special_tokens=False) + prompt_input_ids = self.processing_class(prompt, add_special_tokens=False)["input_ids"] + + # Slice to extract answer tokens + answer_input_ids = full_tokenized["input_ids"][len(prompt_input_ids):] + + # CRITICAL: Handle tokenizer merging + response_token_ids_start_idx = len(prompt_input_ids) + if prompt_input_ids != full_tokenized["input_ids"][:response_token_ids_start_idx]: + response_token_ids_start_idx -= 1 # Adjust for token merge! + + return full_tokenized["input_ids"][response_token_ids_start_idx:] +``` + +**Key Insight:** When using prefix matching, they check for **token merge** and adjust by -1 if detected. + +#### Tokenization Calls +- **Online (vLLM):** 1 call per turn to `apply_chat_template` (tokenization inside vLLM) +- **Offline (transformers):** 2 calls (prompt alone + prompt+answer) + +#### Truncation +```python +# trl/trainer/grpo_trainer.py:1247, 1302, 1350 +"truncate_prompt_tokens": self.max_prompt_length, # vLLM +"max_length": self.max_prompt_length, # transformers +"truncation": True, +``` + +No explicit tracking of whether truncation occurred (unlike our implementation). + +#### Key Files +- `/home/felipemello/forge/trl/trl/trainer/orpo_trainer.py` (prefix matching) +- `/home/felipemello/forge/trl/trl/trainer/grpo_trainer.py` (vLLM direct extraction) +- `/home/felipemello/forge/trl/examples/scripts/openenv/wordle.py` (multi-turn) + +--- + +### 2. VERL + +**Path:** `/home/felipemello/forge/verl/` + +#### Multi-turn Token Accumulation: Delta-Based with BASE Anchor + +**Revolutionary approach:** They use a **BASE conversation anchor** to avoid full retokenization! + +```python +# verl/workers/rollout/schemas.py:31-34 +BASE_CHAT_HISTORY = [ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": "I am a user."} +] + +# Pre-compute offsets during initialization (lines 204-221) +base_conv_wo_gen_prompt_end_pos = len(tokenizer.apply_chat_template( + BASE_CHAT_HISTORY, add_generation_prompt=False, tokenize=True +)) +base_conv_with_gen_prompt_end_pos = len(tokenizer.apply_chat_template( + BASE_CHAT_HISTORY + [{"role": "assistant", "content": ""}], + add_generation_prompt=False, tokenize=True +)) +``` + +**Adding messages (lines 379-412):** +```python +def add_user_message(self, processing_class, content: str): + self.messages.append(Message(role="user", content=content)) + + # Tokenize ONLY the new message using BASE anchor + messages = [*BASE_CHAT_HISTORY, self.messages[-1]] + content_ids = self._handle_apply_chat_template( + processing_class, messages, add_generation_prompt=False, tokenize=True + )[..., self.base_conv_wo_gen_prompt_end_pos:] # Slice from pre-computed offset! + + self._update_input_ids(processing_class, content_ids, loss_mask=False) + +def add_assistant_message(self, processing_class, content_ids: Optional[torch.Tensor] = None): + if content_ids is None: # Fallback if engine doesn't provide token IDs + messages = [*BASE_CHAT_HISTORY, self.messages[-1]] + content_ids = self._handle_apply_chat_template( + processing_class, messages, add_generation_prompt=False, tokenize=True + )[..., self.base_conv_with_gen_prompt_end_pos:] # Slice from offset! + + self._update_input_ids(processing_class, content_ids, loss_mask=True) +``` + +#### Assistant Token Extraction +```python +# verl/workers/rollout/sglang_rollout/sglang_rollout.py:910-915 +if self.config.skip_tokenizer_init: + content_ids = output["output_ids"] # DIRECT from engine! + content = self.processing_class.decode(content_ids, skip_special_tokens=True) +else: + content_ids = None # Will use delta tokenization fallback + content = output["text"] +``` + +**Key Config:** `skip_tokenizer_init=True` enables direct token extraction. + +#### Tokenization Calls +- **With `skip_tokenizer_init=True`:** 0-1 calls per turn (only for user messages) +- **Without:** 1-2 calls per turn + +#### Validation +```python +# verl/workers/rollout/schemas.py:566-641 +def finalize(self, processing_class, reward_scores, finish_reason_type): + # Compare delta-based vs full tokenization (sanity check!) + full_prompt_ids = self._handle_apply_chat_template( + processing_class, self.messages, tokenize=True + ) + + if diffs := self._get_prompt_diffs(processing_class, full_prompt_ids, self.input_ids): + logger.warning("Inconsistent tokenization detected...") +``` + +Configurable modes: `strict`, `ignore_strippable`, `disable`. + +#### Key Files +- `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` (BASE anchor + delta tokenization) +- `/home/felipemello/forge/verl/verl/workers/rollout/sglang_rollout/sglang_rollout.py` (direct extraction) +- `/home/felipemello/forge/verl/docs/sglang_multiturn/multiturn.rst` (documentation) + +--- + +### 3. Prime-RL & Verifiers + +**Path:** `/home/felipemello/forge/prime-rl/`, `/home/felipemello/forge/verifiers/` + +These share the same core utilities. + +#### Assistant Token Extraction: Direct with Special Flag + +**The secret sauce:** +```python +# verifiers/orchestrator/patches.py:131-145 +def patched_parse_chat_completion_tokens(chat_completion: ModdedChatCompletion) -> list[int]: + tokens = [ + int(token["token"].split(":")[-1]) # Parse "token_id:" format + for token in chat_completion.choices[0].logprobs["content"] + ] + return tokens + +# verifiers/rl/trainer/config.py:322 +sampling_args["extra_body"] = { + "return_tokens_as_token_ids": True, # THIS IS THE KEY! +} +``` + +vLLM returns tokens in format `"token_id:123"` which they parse to get raw IDs. + +#### Prefix Matching for User/Tool Messages +```python +# verifiers/utils/processing_utils.py:130-145 +# Tokenize conversation ending at last assistant response +token_prefix = processing_class.apply_chat_template( + conversation=messages_consumed, + add_generation_prompt=False, + tools=oai_tools, +) + +# Tokenize with new user/tool messages +token_prefix_with_turn = processing_class.apply_chat_template( + conversation=messages_consumed + consecutive_messages, + add_generation_prompt=True, + tools=oai_tools, +) + +# Extract the delta +assert token_prefix_with_turn[:len(token_prefix)] == token_prefix +completion_turn_ids = token_prefix_with_turn[len(token_prefix):] +``` + +**Assertion:** They validate prefix property holds! + +#### Performance Trick: Monkey-Patching +```python +# verifiers/orchestrator/patches.py:94-151 +def monkey_patch_chat_completion_logprobs(): + """ + At large batch sizes and context, constructing OAI's Pydantic model + ChatCompletion with logprobs causes heavy CPU overhead (~200ms per + object at 32K context = >10min at 4K batch size). + """ +``` + +They bypass Pydantic validation to save **10+ minutes of overhead** at scale! + +#### Truncation Philosophy +```python +# prime-rl/batch.py:48-53 +if len(input_ids) > seq_len: + raise ValueError( + "This should never happen. Always set max_tokens appropriately." + ) +``` + +**Philosophy:** "Never truncate during training - it creates bad learning signal. Use max_tokens correctly." + +#### Key Files +- `/home/felipemello/forge/verifiers/verifiers/utils/processing_utils.py` (prefix matching) +- `/home/felipemello/forge/verifiers/verifiers/orchestrator/patches.py` (token extraction + optimization) +- `/home/felipemello/forge/prime-rl/src/prime_rl/orchestrator/utils.py` (truncation detection) + +--- + +### 4. NeMo-RL + +**Path:** `/home/felipemello/forge/RL/nemo_rl/` + +#### Multi-turn Strategy: Pre-tokenize and Store + +**Revolutionary pattern:** Store `token_ids` in message dicts! + +```python +# nemo_rl/experience/rollouts.py:85-110 +message_log = [ + { + "role": "user", + "content": "Hello", + "token_ids": torch.tensor([1, 2, 3]) # PRE-TOKENIZED! + }, + { + "role": "assistant", + "content": "Hi", + "token_ids": torch.tensor([4, 5, 6]), # STORED + "generation_logprobs": torch.tensor([...]) + } +] +``` + +**Accumulation = concatenation:** +```python +# nemo_rl/experience/rollouts.py:388-394 +active_flat_messages, active_input_lengths = batched_message_log_to_flat_message( + active_batch["message_log"], + pad_value_dict={"token_ids": tokenizer.pad_token_id}, +) +active_input_ids = active_flat_messages["token_ids"] # Just concat! +``` + +#### Assistant Token Extraction: Length-Based Slicing +```python +# nemo_rl/experience/rollouts.py:85-102 +for i in range(len(input_lengths)): + input_len = input_lengths[i].item() + total_length = unpadded_sequence_lengths[i].item() + + # Slice generated tokens using lengths from vLLM + generated_part = output_ids[i, input_len:total_length] + + # Store in message log + assistant_message = { + "role": "assistant", + "content": tokenizer.decode(generated_part), + "token_ids": generated_part, # STORE + } +``` + +**No prefix matching - just use vLLM's reported lengths!** + +#### Incremental Tokenization During Data Prep +```python +# nemo_rl/data/llm_message_utils.py:541-552 +for i, message in enumerate(message_log_strs): + formatted_message = tokenizer.apply_chat_template( + message_log_strs[:i+1], # All messages up to i + **template_kwargs + ) + + # Find where previous formatted output ends + prev_message_len_no_eos = get_first_index_that_differs( + prev_formatted_message, formatted_message + ) + + # Extract just the new chunk + message_chunk = formatted_message[prev_message_len_no_eos:] +``` + +This is for **data preparation** (creating the initial tokenized message log), not during rollout. + +#### Key Files +- `/home/felipemello/forge/RL/nemo_rl/experience/rollouts.py` (main rollout logic) +- `/home/felipemello/forge/RL/nemo_rl/data/llm_message_utils.py` (incremental tokenization) + +--- + +### 5. Tinker-Cookbook + +**Path:** `/home/felipemello/forge/tinker-cookbook/` + +#### Architecture: Renderer Abstraction + +All tokenization logic is in `Renderer` classes: + +```python +# tinker_cookbook/renderers.py:189-202 +class RoleColonRenderer: + def build_generation_prompt(self, messages: list[Message]) -> tinker.ModelInput: + tokens = [] + tokens.extend(self._bos_tokens) + + for message in messages: + ob_part, action_part, _ = self._render_message(message) + tokens.extend(ob_part) + tokens.extend(action_part) + + # Add generation prompt + new_partial_message = Message(role=role, content="") + ob_part, _, _ = self._render_message(new_partial_message) + tokens.extend(ob_part) + + return tinker.ModelInput.from_ints(tokens) +``` + +#### Assistant Token Extraction: Trust Engine +```python +# tinker_cookbook/completers.py:58-74 +async def __call__(self, model_input: tinker.ModelInput, stop: StopCondition): + sample_result = await self.sampling_client.sample_async( + prompt=model_input, + sampling_params=tinker.SamplingParams(stop=stop, max_tokens=self.max_tokens), + ) + + # Direct extraction - NO prefix matching! + sampled_tokens = sample_result.sequences[0].tokens + sampled_logprobs = sample_result.sequences[0].logprobs + + return TokensWithLogprobs(tokens=sampled_tokens, maybe_logprobs=sampled_logprobs) +``` + +#### Prefix Matching in Data Processing +```python +# tinker_cookbook/rl/data_processing.py:147-168 +def _is_prefix(seq1: FlatOb, seq2: FlatOb) -> bool: + return len(seq1) <= len(seq2) and seq2[:len(seq1)] == seq1 + +for transition in traj.transitions: + ob_flat = _flatten_chunks(ob.chunks) + + if len(SequenceAccumulator.full_sequence) == 0: + delta_ob_flat = ob_flat + elif _is_prefix(SequenceAccumulator.full_sequence, ob_flat): + # Only accumulate the NEW tokens (delta) + delta_ob_flat = ob_flat[len(SequenceAccumulator.full_sequence):] + else: + # Not a prefix - start new datum + data.append(make_datum_from_state()) +``` + +Prefix matching is used **during data assembly**, not during rollout! + +#### Key Files +- `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/completers.py` (direct extraction) +- `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/renderers.py` (renderer abstraction) +- `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/rl/data_processing.py` (prefix matching) + +--- + +## Common Patterns Across All Libraries + +### 1. **Direct Token Extraction from Engine** + +**All 6 libraries** use direct token extraction for assistant messages: + +| Library | Method | +|---------|--------| +| TRL | `output.token_ids` (vLLM) | +| VERL | `output["output_ids"]` | +| Prime-RL/Verifiers | `return_tokens_as_token_ids=True` | +| NeMo-RL | `output_ids[input_len:total_len]` | +| Tinker | `sample_result.sequences[0].tokens` | + +**Our implementation:** ❌ Uses prefix matching instead + +### 2. **Prefix Matching Only for Environment Messages** + +When they DO use prefix matching, it's for: +- User messages (environment observations) +- Tool responses +- NOT for assistant messages + +### 3. **Minimal Tokenization Calls** + +| Library | Calls per Turn | +|---------|---------------| +| TRL (vLLM) | 1 | +| VERL (with skip_tokenizer_init) | 0-1 | +| Prime-RL/Verifiers | 2 (user/tool only) | +| NeMo-RL | 0 (pre-tokenized) | +| Tinker | 1 | +| **Our implementation** | **3+** | + +### 4. **Validation/Assertions** + +Several libraries validate correctness: +- **VERL:** Optional sanity check comparing delta vs full tokenization +- **Prime-RL/Verifiers:** Assert prefix property holds +- **NeMo-RL:** Assert tokens_left_for_obs >= 0 + +--- + +## Recommended Simplifications for Our Implementation + +### ⭐ Priority 1: Use Direct Token Extraction + +**Current (complex):** +```python +# test_simple_vllm.py:112-120 +messages.append({"role": "assistant", "content": response_text}) +full_conversation_with_assistant = tokenizer.apply_chat_template( + messages, add_generation_prompt=False, tokenize=True +) +assistant_tokens = full_conversation_with_assistant[len(all_tokens):] # Prefix match +``` + +**Recommended (simple):** +```python +# Use vLLM's token_ids directly (like ALL 6 libraries!) +sampling_params = SamplingParams( + logprobs=1, # Enable logprobs to get token_ids + prompt_logprobs=0, +) +output = llm.generate([prompt_text], sampling_params)[0].outputs[0] + +# Direct extraction - NO prefix matching needed! +assistant_content_tokens = output.token_ids # [3 tokens: "HIT"] + +# Get role header tokens via chat template on empty assistant message +role_header_tokens = tokenizer.apply_chat_template( + [{"role": "assistant", "content": ""}], + add_generation_prompt=False, + tokenize=True, +)[len(tokenizer.apply_chat_template([], add_generation_prompt=False, tokenize=True)):] + +assistant_tokens = role_header_tokens + assistant_content_tokens +``` + +**Even simpler - if vLLM supports it:** +```python +# Try using vLLM's extra_body like Prime-RL/Verifiers +sampling_params = SamplingParams( + logprobs=1, + extra_body={"return_tokens_as_token_ids": True} +) +``` + +### ⭐ Priority 2: Use BASE Anchor for Environment Observations + +**Current (re-tokenize everything):** +```python +# Multiple apply_chat_template calls +full_conversation = tokenizer.apply_chat_template(messages, ...) +new_prompt_tokens = full_conversation[len(all_tokens):] +``` + +**Recommended (VERL-style delta tokenization):** +```python +# Pre-compute BASE anchor once at initialization +BASE_CONVERSATION = [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": ""}, # Empty user message +] +base_tokens = tokenizer.apply_chat_template( + BASE_CONVERSATION, add_generation_prompt=False, tokenize=True +) +base_len = len(base_tokens) + +# For each new user message, tokenize delta +def get_user_message_tokens(content: str): + temp_messages = BASE_CONVERSATION.copy() + temp_messages[-1]["content"] = content + + full_tokens = tokenizer.apply_chat_template( + temp_messages, add_generation_prompt=False, tokenize=True + ) + + # Extract only the new tokens + return full_tokens[base_len:] +``` + +This reduces tokenization from **3 calls per turn** to **1 call per turn**. + +### ⭐ Priority 3: Add Token Merge Detection + +**From TRL's ORPO trainer:** +```python +def extract_assistant_tokens_with_merge_check(tokenizer, messages_before, messages_after): + full_tokenized = tokenizer.apply_chat_template( + messages_after, add_generation_prompt=False, tokenize=True + ) + prefix_len = len(tokenizer.apply_chat_template( + messages_before, add_generation_prompt=False, tokenize=True + )) + + # Check if last token merged + if full_tokenized[:prefix_len] != messages_before_tokens: + prefix_len -= 1 # Adjust for token merge! + + return full_tokenized[prefix_len:] +``` + +This handles edge cases with Llama-style tokenizers. + +### Priority 4: Store Responses in State + +**Current:** Reconstruct from text +**Recommended:** Store full response objects like Prime-RL + +```python +state = { + "messages": [...], + "responses": [], # Store vLLM response objects + "turn": 0, +} + +# During rollout +response = llm.generate([prompt])[0] +state["responses"].append(response) # Store the whole object + +# During data processing +for i, response in enumerate(state["responses"]): + assistant_tokens = response.outputs[0].token_ids # Direct access! +``` + +### Priority 5: Validation Layer + +**Add optional sanity check like VERL:** +```python +def validate_token_accumulation(messages, all_tokens, tokenizer): + """Optional validation - disable in production""" + ground_truth = tokenizer.apply_chat_template( + messages, add_generation_prompt=False, tokenize=True + ) + + if len(all_tokens) != len(ground_truth): + logger.warning( + f"Token mismatch: accumulated={len(all_tokens)}, " + f"ground_truth={len(ground_truth)}, diff={len(ground_truth)-len(all_tokens)}" + ) +``` + +--- + +## Simplified Implementation Proposal + +### New File: `apps/blackjack/token_utils.py` + +```python +"""Token utilities for efficient multi-turn accumulation.""" + +import torch +from transformers import PreTrainedTokenizer + +class TokenAccumulator: + """Efficient token accumulation for multi-turn rollouts.""" + + def __init__(self, tokenizer: PreTrainedTokenizer, system_prompt: str): + self.tokenizer = tokenizer + + # Pre-compute BASE anchor (VERL-style) + self.base_conversation = [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": ""}, # Empty placeholder + ] + self.base_tokens = tokenizer.apply_chat_template( + self.base_conversation, + add_generation_prompt=False, + tokenize=True, + ) + self.base_len = len(self.base_tokens) + + # Accumulators + self.all_tokens: list[int] = [] + self.response_mask: list[int] = [] + self.messages: list[dict] = [ + {"role": "system", "content": system_prompt} + ] + + def add_user_message(self, content: str) -> list[int]: + """Add user message and return its tokens (delta).""" + self.messages.append({"role": "user", "content": content}) + + # Tokenize using BASE anchor + temp_conv = self.base_conversation.copy() + temp_conv[-1]["content"] = content + + full_tokens = self.tokenizer.apply_chat_template( + temp_conv, + add_generation_prompt=False, + tokenize=True, + ) + + # Extract delta + user_tokens = full_tokens[self.base_len:] + + # Accumulate + self.all_tokens.extend(user_tokens) + self.response_mask.extend([0] * len(user_tokens)) + + return user_tokens + + def add_assistant_response( + self, + content: str, + token_ids: list[int], # Direct from vLLM! + is_truncated: bool = False + ): + """Add assistant response using direct token_ids.""" + self.messages.append({"role": "assistant", "content": content}) + + # Get role header tokens (once, could be cached) + role_header = self._get_assistant_role_header_tokens() + + # Combine: role_header + content_tokens + assistant_tokens = role_header + token_ids + + # Accumulate + mask_value = 0 if is_truncated else 1 + self.all_tokens.extend(assistant_tokens) + self.response_mask.extend([mask_value] * len(assistant_tokens)) + + def _get_assistant_role_header_tokens(self) -> list[int]: + """Get tokens for '<|im_start|>assistant\n' etc.""" + empty_assistant = self.tokenizer.apply_chat_template( + [{"role": "assistant", "content": ""}], + add_generation_prompt=False, + tokenize=True, + ) + + empty_base = self.tokenizer.apply_chat_template( + [], + add_generation_prompt=False, + tokenize=True, + ) + + return empty_assistant[len(empty_base):] + + def validate(self, strict: bool = False): + """Validate accumulated tokens match ground truth.""" + ground_truth = self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=False, + tokenize=True, + ) + + if len(self.all_tokens) != len(ground_truth): + msg = ( + f"Token mismatch: accumulated={len(self.all_tokens)}, " + f"ground_truth={len(ground_truth)}" + ) + if strict: + raise ValueError(msg) + else: + print(f"⚠️ {msg}") + else: + print(f"✅ Token validation passed: {len(self.all_tokens)} tokens") +``` + +### Usage in Rollout + +```python +# apps/blackjack/rollouts.py (simplified) + +async def do_single_rollout(...): + accumulator = TokenAccumulator(tokenizer, system_prompt) + + # Initial user message + initial_obs = env.reset() + accumulator.add_user_message(initial_obs) + + for turn in range(max_turns): + # Generate + prompt_text = tokenizer.apply_chat_template( + accumulator.messages, + add_generation_prompt=True, + tokenize=False, + ) + + response = await policy.generate([prompt_text])[0] + + # Add assistant response (DIRECT token_ids, no prefix matching!) + accumulator.add_assistant_response( + content=response.text, + token_ids=response.outputs[0].token_ids, # DIRECT! + is_truncated=(response.outputs[0].finish_reason == "length") + ) + + if response.outputs[0].finish_reason == "length": + break + + # Step env + result = env.step(response.text) + if result.done: + break + + # Add env observation + accumulator.add_user_message(result.observation) + + # Validate (optional, disable in production) + accumulator.validate(strict=False) + + return Episode( + all_token_ids=torch.tensor(accumulator.all_tokens), + response_mask=torch.tensor(accumulator.response_mask), + message_log=accumulator.messages, + ... + ) +``` + +--- + +## Performance Comparison + +| Metric | Current (v5) | Proposed (v7) | Improvement | +|--------|-------------|---------------|-------------| +| **apply_chat_template calls/turn** | 6 | 1-2 | **3-6x fewer** | +| **Prefix matching operations** | Every turn (assistant) | Only for validation | **~3x fewer** | +| **Token re-computation** | Full conversation each turn | Delta only | **~N x fewer** (N=turns) | +| **Code complexity** | High (multiple template calls) | Low (direct token_ids) | **Simpler** | +| **Matches ground truth** | Yes (tested) | Yes (with validation) | **Same correctness** | + +--- + +## Migration Path + +### Phase 1: Add Direct Token Extraction (Low Risk) +1. Enable logprobs in sampling_params +2. Use `response.outputs[0].token_ids` for assistant content +3. Add role header tokens separately +4. Keep validation against old approach + +### Phase 2: Add BASE Anchor for User Messages (Medium Risk) +1. Implement `TokenAccumulator` class +2. Use delta tokenization for user messages +3. Compare against full retokenization + +### Phase 3: Remove Prefix Matching (High Confidence) +1. Once phases 1-2 are validated, remove old prefix matching code +2. Simplify test suite +3. Add VERL-style sanity check as optional validation + +--- + +## Conclusion + +**The current implementation is correct but over-complicated.** + +Industry best practices from 6 major RL libraries show: + +1. ✅ **Use direct token_ids from generation engine** (everyone does this) +2. ✅ **Use prefix matching ONLY for environment observations** (not assistant) +3. ✅ **Pre-compute BASE anchors** to minimize tokenization calls (VERL innovation) +4. ✅ **Store response objects** to avoid reconstruction (NeMo-RL pattern) +5. ✅ **Add validation layers** for debugging (VERL, Prime-RL patterns) + +**Recommended action:** Implement `TokenAccumulator` class with direct token extraction to reduce from **6 tokenization calls per turn to 1-2**. + +--- + +## References + +### Code Paths by Library + +**TRL:** +- Prefix matching: `/home/felipemello/forge/trl/trl/trainer/orpo_trainer.py:381-421` +- Direct extraction: `/home/felipemello/forge/trl/trl/trainer/grpo_trainer.py:1274-1275` +- Multi-turn: `/home/felipemello/forge/trl/examples/scripts/openenv/wordle.py:342-387` + +**VERL:** +- BASE anchor: `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py:31-34, 204-221` +- Delta tokenization: `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py:379-412` +- Direct extraction: `/home/felipemello/forge/verl/verl/workers/rollout/sglang_rollout/sglang_rollout.py:910-915` +- Validation: `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py:566-641` + +**Prime-RL/Verifiers:** +- Direct extraction: `/home/felipemello/forge/verifiers/verifiers/orchestrator/patches.py:131-145` +- Prefix matching: `/home/felipemello/forge/verifiers/verifiers/utils/processing_utils.py:130-145` +- Config: `/home/felipemello/forge/verifiers/verifiers/rl/trainer/config.py:322` + +**NeMo-RL:** +- Pre-tokenization: `/home/felipemello/forge/RL/nemo_rl/experience/rollouts.py:85-110` +- Length slicing: `/home/felipemello/forge/RL/nemo_rl/experience/rollouts.py:388-394` +- Incremental: `/home/felipemello/forge/RL/nemo_rl/data/llm_message_utils.py:541-552` + +**Tinker:** +- Renderer: `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/renderers.py:189-202` +- Direct extraction: `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/completers.py:58-74` +- Data processing: `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/rl/data_processing.py:147-168` + +--- + +**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation_v7_simplified_implementation.md b/brainstorming_forge_tau/changes/3_truncation_v7_simplified_implementation.md new file mode 100644 index 000000000..5e10459e6 --- /dev/null +++ b/brainstorming_forge_tau/changes/3_truncation_v7_simplified_implementation.md @@ -0,0 +1,818 @@ +# Truncation V7: Simplified Implementation (Based on test_simple_vllm.py Requirements) + +**Date:** 2025-01-16 +**Based on:** Exact requirements from `/home/felipemello/forge/test_simple_vllm.py` +**Research:** Library comparison from v7 (6 major RL codebases) +**Implementation:** `/home/felipemello/forge/test_simple_vllm_v2.py` ✅ ALL 5 TESTS PASS + +**Status:** Partial simplification achieved. Direct token extraction proved more complex than expected. + +--- + +## Implementation Results Summary + +### ✅ What We Achieved + +**File:** `/home/felipemello/forge/test_simple_vllm_v2.py` +**Test Results:** ALL 5 TESTS PASS ✅ + +| Improvement | Status | Impact | +|-------------|--------|--------| +| **TokenAccumulator class** | ✅ Implemented | Better code organization, reusable | +| **Immediate env obs accumulation** | ✅ Implemented | Simpler flow (no dangling messages) | +| **Cached gen_prompt_len** | ✅ Implemented | Small optimization | +| **Optional validation** | ✅ Implemented | Can disable in production | +| **Direct token extraction** | ❌ Not achieved | Harder than expected (see below) | + +### ⚠️ Why Direct Token Extraction Failed + +**Original plan:** Use `output.token_ids` directly from vLLM (no prefix matching). + +**Reality discovered:** +- `output.token_ids` contains **content tokens only** (e.g., `[3]` for "HIT") +- Chat templates add **role headers**: `<|im_start|>assistant\n` + content + `<|im_end|>\n` +- These role header tokens are **template-specific** and not returned by vLLM +- Computing role headers requires understanding each template's format + +**Attempt:** +```python +def get_role_header_tokens(tokenizer, role: str) -> list[int]: + # Failed: Cannot call apply_chat_template([]) + # Unclear how to isolate just the role header portion +``` + +**Libraries that DO use direct extraction:** +- **Prime-RL/Verifiers:** Use vLLM's `return_tokens_as_token_ids=True` flag +- **NeMo-RL:** Use length-based slicing with vLLM's reported lengths +- **VERL:** Use BASE anchor + delta computation (complex) + +**Conclusion:** Direct extraction requires deeper vLLM integration or template-specific logic. + +### ✅ What We Still Use (Proven Correct) + +**Prefix matching** for both assistant and user messages: +```python +# Add message to messages list +self.messages.append({"role": "assistant", "content": response_text}) + +# Tokenize full conversation +full_conversation = tokenizer.apply_chat_template( + self.messages, add_generation_prompt=False, tokenize=True +) + +# Extract delta +new_tokens = full_conversation[len(self.all_tokens):] +``` + +This approach: +- ✅ Works reliably across all chat templates +- ✅ Includes role headers automatically +- ✅ Validated by test suite (all 5 tests pass) +- ✅ Used by TRL, Verifiers, and others + +### 📊 Comparison: v1 vs v2 + +| Metric | v1 (test_simple_vllm.py) | v2 (test_simple_vllm_v2.py) | Improvement | +|--------|--------------------------|----------------------------|-------------| +| **Code organization** | Inline logic | `TokenAccumulator` class | ✅ Much cleaner | +| **Env obs accumulation** | Start of next turn | Immediately | ✅ Simpler | +| **Gen prompt len** | Calculated each turn | Cached | ✅ Faster | +| **Validation** | Every turn (mandatory) | Optional flag | ✅ Flexible | +| **Token extraction** | Prefix matching | Prefix matching | Same | +| **Lines of code per test** | ~150 lines | ~100 lines (with class) | ✅ More compact | + +### 🎯 Actual Simplifications Achieved + +1. **Better Code Structure** - TokenAccumulator encapsulates all logic +2. **Immediate Accumulation** - Clearer flow, no "start of next turn" confusion +3. **Cached Values** - gen_prompt_len computed once +4. **Cleaner Tests** - Less repetitive code + +**Net result:** Code is more maintainable, but NOT fewer tokenization calls (still uses prefix matching). + +--- + +## Exact Requirements from test_simple_vllm.py + +The test shows the following **precise flow** for multi-turn token accumulation: + +### Per-Turn Flow (13 Steps) + +**START OF TURN:** +1. **Extract new prompt tokens** (delta) + - Tokenize `messages` WITHOUT gen prompt + - Extract: `new_prompt_tokens = full_conversation[len(all_tokens):]` + - Add to `all_tokens` with `mask=0` + +2. **Check budget** + - Tokenize `messages` WITH gen prompt + - Calculate: `remaining = max_seq_len - len(prompt_with_gen)` + - If `remaining <= 0`: break (early exit) + +3. **Generate** + - Create prompt text (tokenize=False, for display) + - Set `max_tokens = min(remaining, default_max_tokens)` + - Generate with vLLM + - Get `response_text` and `response_tokens` (content only, no role headers) + +**AFTER GENERATION:** +4. **Add assistant message to messages** + - `messages.append({"role": "assistant", "content": response_text})` + +5. **Extract assistant tokens** (delta, with role headers) + - Tokenize `messages` (now includes assistant) WITHOUT gen prompt + - Extract: `assistant_tokens = full_conversation_with_assistant[len(all_tokens):]` + - This includes role headers: `<|im_start|>assistant\n` + content + `<|im_end|>\n` + +6. **Check truncation** + - If `response_tokens[-1] != eos_token_id`: truncated + - Set `mask_value = 0` if truncated, else `1` + +7. **Add assistant tokens to all_tokens** + - `all_tokens.extend(assistant_tokens)` + - `response_mask.extend([mask_value] * len(assistant_tokens))` + +8. **Validate** (optional, debug only) + - Compare `all_tokens` vs ground truth tokenization + +**CHECK EARLY EXIT:** +9. **If generation truncated**: break + +10. **If game done**: break + +**ENV OBSERVATION:** +11. **Add env observation to messages** + - `messages.append({"role": "user", "content": env_obs})` + +12. **Check if env obs exceeds budget** + - Tokenize `messages` WITH gen prompt (includes new env obs) + - If `len(temp_conversation) > max_seq_len`: + - `messages.pop()` (remove the env obs we just added) + - Break loop + +13. **Loop** back to step 1 + +--- + +## Key Insights + +### 1. Two Accumulation Points Per Turn + +**This is critical and often missed!** + +Each turn accumulates tokens **TWICE**: +- **Start of turn (step 1):** Accumulate NEW PROMPT TOKENS (the env observation from previous turn) +- **After generation (step 7):** Accumulate ASSISTANT TOKENS (with role headers) + +```python +# Visualization of token accumulation +Turn 1 start: [system, user1] # NEW: user1 tokens +Turn 1 gen: [system, user1, assistant1] # NEW: assistant1 tokens +Turn 2 start: [system, user1, assistant1, user2] # NEW: user2 tokens +Turn 2 gen: [system, user1, assistant1, user2, assistant2] # NEW: assistant2 tokens +``` + +### 2. Three Tokenization Calls Per Turn (Current Approach) + +Looking at the test, each turn does: +1. **Tokenize to extract new prompt tokens** (line 49, tokenize=True) +2. **Tokenize to check budget** (line 67, tokenize=True) +3. **Tokenize to extract assistant tokens** (line 113, tokenize=True) +4. **Tokenize to check env obs budget** (line 189, tokenize=True) +5. **Tokenize for validation** (line 146, tokenize=True) - OPTIONAL + +**Total: 4 required calls, 1 optional = 3-5 per turn** + +*(Not counting the tokenize=False call at line 86 which is just for string formatting)* + +### 3. Prefix Matching is Used Twice + +- **For prompt tokens:** Extract delta at start of turn (step 1) +- **For assistant tokens:** Extract delta after generation (step 5) + +Both use the same pattern: `delta = full_conversation[len(all_tokens):]` + +### 4. Budget Check is Required Before Generation + +You CANNOT skip the budget check (step 2) - it's required to: +- Know if we can generate at all (`remaining <= 0` → early exit) +- Set `max_tokens` appropriately for vLLM + +--- + +## Current Implementation Tokenization Count + +From test_simple_vllm.py, here are the actual `apply_chat_template` calls: + +| Step | Line | Call | Purpose | Required? | +|------|------|------|---------|-----------| +| 1 | 49-54 | `apply_chat_template(messages, add_generation_prompt=False, tokenize=True)` | Extract new prompt tokens | ✅ YES | +| 2 | 67-72 | `apply_chat_template(messages, add_generation_prompt=True, tokenize=True)` | Check budget | ✅ YES | +| 3 | 86-91 | `apply_chat_template(messages, add_generation_prompt=True, tokenize=False)` | Format prompt text | ⚠️ NO (vLLM can do this) | +| 4 | 113-118 | `apply_chat_template(messages, add_generation_prompt=False, tokenize=True)` | Extract assistant tokens | ✅ YES (with current approach) | +| 5 | 146-151 | `apply_chat_template(messages, add_generation_prompt=False, tokenize=True)` | Validation | ⚠️ NO (debug only) | +| 6 | 189-194 | `apply_chat_template(messages, add_generation_prompt=True, tokenize=True)` | Check env obs budget | ✅ YES | + +**Total required: 4 tokenization calls per turn** + +--- + +## Proposed Simplifications (Based on Library Research) + +From the library comparison (v7), we identified these optimizations: + +### ⭐ Optimization 1: Use Direct Token IDs from vLLM + +**Current (steps 4-5):** +```python +messages.append({"role": "assistant", "content": response_text}) + +# Extract assistant tokens via prefix matching +full_conversation_with_assistant = tokenizer.apply_chat_template( + messages, add_generation_prompt=False, tokenize=True +) +assistant_tokens = full_conversation_with_assistant[len(all_tokens):] +``` + +**Simplified (all 6 libraries do this):** +```python +# Get assistant tokens directly from vLLM response +assistant_content_tokens = output.token_ids # Direct from vLLM! + +# Get role header tokens (computed once, can be cached) +role_header_tokens = get_role_header_tokens(tokenizer, "assistant") + +# Combine +assistant_tokens = role_header_tokens + assistant_content_tokens + +# Add to messages (for next turn's prompt) +messages.append({"role": "assistant", "content": response_text}) +``` + +This **eliminates 1 tokenization call** (step 4). + +**Helper function (cached):** +```python +@lru_cache(maxsize=2) +def get_role_header_tokens(tokenizer, role: str) -> list[int]: + """Get tokens for '<|im_start|>assistant\n' etc.""" + empty_msg = tokenizer.apply_chat_template( + [{role: role, "content": ""}], + add_generation_prompt=False, + tokenize=True, + ) + base = tokenizer.apply_chat_template( + [], + add_generation_prompt=False, + tokenize=True, + ) + return empty_msg[len(base):] +``` + +### ⭐ Optimization 2: Use BASE Anchor for Prompt Tokens (VERL Pattern) + +**Current (step 1):** +```python +# Tokenize entire conversation every turn +full_conversation = tokenizer.apply_chat_template( + messages, # Could be 10+ messages! + add_generation_prompt=False, + tokenize=True, +) +new_prompt_tokens = full_conversation[len(all_tokens):] +``` + +**Simplified (VERL pattern):** +```python +# Pre-compute BASE anchor once at initialization +BASE_CONVERSATION = [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": ""}, # Empty placeholder +] +base_tokens = tokenizer.apply_chat_template(BASE_CONVERSATION, ...) +base_len = len(base_tokens) + +# For each new user message, tokenize ONLY the delta +def get_user_message_tokens(content: str) -> list[int]: + temp = BASE_CONVERSATION.copy() + temp[-1]["content"] = content + + full = tokenizer.apply_chat_template(temp, add_generation_prompt=False, tokenize=True) + return full[base_len:] # Extract only the new tokens! +``` + +This is **more efficient** for long conversations (tokenize 2 messages instead of N messages). + +**Caveat:** Works best for simple user messages. For complex multi-message scenarios (tool calls, etc.), fall back to full tokenization. + +### ⭐ Optimization 3: Smarter Budget Check for Env Obs + +**Current (step 12):** +```python +# Add env obs to messages +messages.append({"role": "user", "content": env_obs}) + +# Tokenize ENTIRE conversation again +temp_conversation = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=True, +) + +if len(temp_conversation) > max_seq_len: + messages.pop() + break +``` + +**Simplified:** +```python +# Get env obs tokens +env_obs_tokens = get_user_message_tokens(env_obs) # Using BASE anchor + +# Calculate: current + env_obs + gen_prompt +gen_prompt_len = get_generation_prompt_len(tokenizer) # Cached +would_be = len(all_tokens) + len(env_obs_tokens) + gen_prompt_len + +if would_be > max_seq_len: + # Don't even add to messages + break +else: + # Add to both messages and all_tokens + messages.append({"role": "user", "content": env_obs}) + all_tokens.extend(env_obs_tokens) + response_mask.extend([0] * len(env_obs_tokens)) +``` + +**Problem:** This approach accumulates env obs tokens at the END of the turn, but the test accumulates them at the START of the next turn. + +**Solution:** Keep the test's approach (accumulate at start of next turn) OR switch to immediate accumulation (simpler but different ordering). + +### Trade-off: When to Accumulate Env Obs Tokens? + +**Option A: Accumulate at START of next turn (current test approach)** +- ✅ Pro: Matches test exactly +- ❌ Con: Need to tokenize at start of turn + +**Option B: Accumulate IMMEDIATELY after env.step()** +- ✅ Pro: Simpler flow, no "dangling" messages +- ✅ Pro: Can skip tokenization at start of turn +- ❌ Con: Different from test (but equivalent) + +**Recommendation:** Use Option B (immediate accumulation) as it's cleaner and matches how most libraries do it (TRL, NeMo-RL, etc.). + +--- + +## Simplified Implementation + +### Updated Flow (12 Steps, Immediate Env Obs Accumulation) + +**START OF TURN:** +1. **Check budget** + - Count tokens in `all_tokens` + gen_prompt_len + - Calculate: `remaining = max_seq_len - (len(all_tokens) + gen_prompt_len)` + - If `remaining <= 0`: break + +2. **Generate** + - Format prompt from `messages` (can use cached template) + - Set `max_tokens = min(remaining, default_max_tokens)` + - Generate with vLLM + +**AFTER GENERATION:** +3. **Get assistant tokens directly** + - `assistant_content_tokens = output.token_ids` (from vLLM) + - `role_header_tokens = get_role_header_tokens(tokenizer, "assistant")` (cached) + - `assistant_tokens = role_header_tokens + assistant_content_tokens` + +4. **Check truncation** + - If `output.token_ids[-1] != eos_token_id`: truncated + - Set `mask_value = 0` if truncated, else `1` + +5. **Add assistant tokens** + - `all_tokens.extend(assistant_tokens)` + - `response_mask.extend([mask_value] * len(assistant_tokens))` + - `messages.append({"role": "assistant", "content": output.text})` + +6. **Validate** (optional) + +**CHECK EARLY EXIT:** +7. **If generation truncated**: break + +8. **If game done**: break + +**ENV OBSERVATION (IMMEDIATE ACCUMULATION):** +9. **Get env observation** + - `env_result = env.step(action)` + - `env_obs = env_result.observation` + +10. **Get env obs tokens** + - Option A (simple): `env_obs_tokens = tokenizer.encode(env_obs, add_special_tokens=False)` + - Option B (BASE anchor): `env_obs_tokens = get_user_message_tokens(env_obs)` + +11. **Check if adding env obs would exceed budget** + - Calculate: `would_be = len(all_tokens) + len(env_obs_tokens) + gen_prompt_len` + - If `would_be > max_seq_len`: break (truncated) + +12. **Add env obs tokens IMMEDIATELY** + - `messages.append({"role": "user", "content": env_obs})` + - `all_tokens.extend(env_obs_tokens)` ← IMMEDIATE! + - `response_mask.extend([0] * len(env_obs_tokens))` + +13. **Loop** back to step 1 + +--- + +## Tokenization Call Comparison + +| Step | Current Test (v6) | Simplified (v7) | Savings | +|------|-------------------|-----------------|---------| +| **Start of turn** | Extract new prompt tokens (tokenize=True) | ❌ Skipped (accumulated immediately last turn) | -1 call | +| **Budget check** | Tokenize with gen prompt (tokenize=True) | ✅ Use `len(all_tokens) + gen_prompt_len` | -1 call (cached gen_prompt_len) | +| **Format prompt** | Tokenize=False for string | ✅ Same | 0 | +| **Extract assistant** | Prefix matching (tokenize=True) | ❌ Use `output.token_ids` + cached role headers | -1 call | +| **Env obs** | Tokenize to check budget (tokenize=True) | ✅ Use BASE anchor or simple encode | Same (but faster) | +| **Validation** | Full tokenization (tokenize=True) | ⚠️ Optional | 0 (optional) | + +**Total: 4 calls → 1-2 calls per turn (depending on BASE anchor usage)** + +--- + +## Complete Simplified Code (IMPLEMENTED & TESTED) + +### File: `test_simple_vllm_v2.py` - TokenAccumulator Class + +**Key changes from v1:** +1. ✅ Uses `TokenAccumulator` class (better organization) +2. ✅ Immediate env obs accumulation (simpler flow) +3. ✅ Cached gen_prompt_len (optimization) +4. ✅ Optional validation flag +5. ⚠️ Still uses prefix matching (proven correct, not "direct") + +```python +@lru_cache(maxsize=1) +def get_generation_prompt_len(tokenizer) -> int: + """Get length of generation prompt (e.g., '<|im_start|>assistant\n').""" + messages = [{"role": "user", "content": "x"}] + without_gen = tokenizer.apply_chat_template( + messages, add_generation_prompt=False, tokenize=True + ) + with_gen = tokenizer.apply_chat_template( + messages, add_generation_prompt=True, tokenize=True + ) + return len(with_gen) - len(without_gen) + + +class TokenAccumulator: + """ + Simplified token accumulator with hybrid approach. + + Uses prefix matching (proven correct) with better organization. + """ + + def __init__( + self, + tokenizer, + messages: list[dict], + max_seq_len: int, + eos_token_id: int, + validate: bool = True, + ): + self.tokenizer = tokenizer + self.max_seq_len = max_seq_len + self.eos_token_id = eos_token_id + self.validate_enabled = validate + + # Message log (for prompt construction) + self.messages = messages.copy() + + # Token accumulators + self.all_tokens: list[int] = [] + self.response_mask: list[int] = [] + + # Cached values + self.gen_prompt_len = get_generation_prompt_len(tokenizer) + + # Truncation tracking + self.is_truncated = False + self.truncation_reason: str | None = None + + # Initialize with initial messages + if len(messages) > 0: + initial_tokens = tokenizer.apply_chat_template( + messages, add_generation_prompt=False, tokenize=True + ) + self.all_tokens.extend(initial_tokens) + self.response_mask.extend([0] * len(initial_tokens)) + + def get_remaining_budget(self) -> int: + """Calculate remaining tokens before hitting max_seq_len.""" + current_with_gen_prompt = len(self.all_tokens) + self.gen_prompt_len + return self.max_seq_len - current_with_gen_prompt + + def format_prompt(self) -> str: + """Format prompt for generation (no tokenization, just string).""" + return self.tokenizer.apply_chat_template( + self.messages, add_generation_prompt=True, tokenize=False + ) + + def add_assistant_response( + self, response_text: str, response_token_ids: list[int] + ) -> bool: + """ + Add assistant response using prefix matching. + + Args: + response_text: Response text from vLLM + response_token_ids: Content tokens (for truncation check only) + + Returns: + True if successful, False if truncated + """ + # Check truncation + is_truncated = ( + len(response_token_ids) > 0 and + response_token_ids[-1] != self.eos_token_id + ) + + # Add to messages FIRST + self.messages.append({"role": "assistant", "content": response_text}) + + # Use prefix matching to get assistant tokens WITH role headers + full_conversation = self.tokenizer.apply_chat_template( + self.messages, add_generation_prompt=False, tokenize=True + ) + assistant_tokens = full_conversation[len(self.all_tokens):] + + # Accumulate + mask_value = 0 if is_truncated else 1 + self.all_tokens.extend(assistant_tokens) + self.response_mask.extend([mask_value] * len(assistant_tokens)) + + # Track truncation + if is_truncated: + self.is_truncated = True + self.truncation_reason = "generation_length" + + # Validate if enabled + if self.validate_enabled: + self._validate() + + return not is_truncated + + def add_user_message(self, content: str, check_budget: bool = True) -> bool: + """ + Add user message (env observation) IMMEDIATELY using prefix matching. + + Args: + content: User message content + check_budget: If True, check if adding would exceed budget + + Returns: + True if successful, False if would exceed budget + """ + # Add to messages FIRST + self.messages.append({"role": "user", "content": content}) + + # Use prefix matching to get user message tokens + full_conversation = self.tokenizer.apply_chat_template( + self.messages, add_generation_prompt=False, tokenize=True + ) + user_message_tokens = full_conversation[len(self.all_tokens):] + + # Check budget if requested + if check_budget: + would_be = ( + len(self.all_tokens) + len(user_message_tokens) + self.gen_prompt_len + ) + if would_be > self.max_seq_len: + # Remove from messages and mark truncated + self.messages.pop() + self.is_truncated = True + self.truncation_reason = "env_observation_length" + return False + + # Accumulate + self.all_tokens.extend(user_message_tokens) + self.response_mask.extend([0] * len(user_message_tokens)) + + # Validate if enabled + if self.validate_enabled: + self._validate() + + return True + + def _validate(self): + """Optional validation: compare vs ground truth.""" + ground_truth = self.tokenizer.apply_chat_template( + self.messages, add_generation_prompt=False, tokenize=True + ) + if len(self.all_tokens) != len(ground_truth): + raise ValueError( + f"Token mismatch: {len(self.all_tokens)} vs {len(ground_truth)}" + ) +``` + +### Usage Example (Simplified Rollout) + +```python +async def do_single_rollout(env, policy, tokenizer, max_seq_len, max_turns, messages): + """Simplified rollout using TokenAccumulator.""" + + # Initialize accumulator + accumulator = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_seq_len=max_seq_len, + eos_token_id=tokenizer.eos_token_id, + validate=True, # Enable validation + ) + + # Add initial observation + initial_obs = env.reset() + accumulator.add_user_message(initial_obs, check_budget=False) + + for turn in range(max_turns): + # Check budget + remaining = accumulator.get_remaining_budget() + if remaining <= 0: + break + + # Generate + prompt = accumulator.format_prompt() + response = await policy.generate([prompt], max_tokens=remaining)[0] + + # Add assistant response + success = accumulator.add_assistant_response( + response_text=response.text, + response_token_ids=response.token_ids, + ) + + if not success: # Generation truncated + break + + # Step env + result = env.step(response.text) + if result.done: + break + + # Add env observation IMMEDIATELY + success = accumulator.add_user_message(result.observation, check_budget=True) + if not success: # Env obs truncated + break + + # Create Episode + return Episode( + all_token_ids=torch.tensor(accumulator.all_tokens), + response_mask=torch.tensor(accumulator.response_mask), + is_truncated=accumulator.is_truncated, + truncation_reason=accumulator.truncation_reason, + message_log=accumulator.messages, + ... + ) +``` + +--- + +--- + +## Future Work: True Direct Token Extraction + +For those wanting to eliminate prefix matching entirely, here are the approaches used by other libraries: + +### Approach 1: vLLM's `return_tokens_as_token_ids` Flag (Prime-RL/Verifiers) + +**File:** `/home/felipemello/forge/verifiers/verifiers/rl/trainer/config.py:322` + +```python +# In vLLM sampling config +sampling_args["extra_body"] = { + "return_tokens_as_token_ids": True, # Returns tokens as "token_id:" +} + +# Then parse them +def parse_chat_completion_tokens(chat_completion): + tokens = [ + int(token["token"].split(":")[-1]) + for token in chat_completion.choices[0].logprobs["content"] + ] + return tokens +``` + +**Status:** Needs investigation - this may return content tokens only, still requiring role header computation. + +### Approach 2: Length-Based Slicing (NeMo-RL) + +**File:** `/home/felipemello/forge/RL/nemo_rl/experience/rollouts.py:85-102` + +```python +# vLLM returns input_lengths and generation_lengths +input_len = input_lengths[i].item() +total_length = unpadded_sequence_lengths[i].item() + +# Slice generated tokens using lengths +generated_part = output_ids[i, input_len:total_length] + +# Store in message log with pre-tokenized tokens +assistant_message = { + "role": "assistant", + "content": text, + "token_ids": generated_part, # Store tokens in message! +} +``` + +**Key insight:** Pre-tokenize and store tokens in message dicts, then concatenate when needed. + +**Requires:** Modifying message log structure to include `token_ids` field. + +### Approach 3: BASE Anchor + Delta Computation (VERL) + +**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py:204-221, 379-412` + +```python +# Pre-compute BASE conversation +BASE_CONVERSATION = [ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": ""}, # Empty placeholder +] +base_tokens = tokenizer.apply_chat_template(BASE_CONVERSATION, ...) +base_len = len(base_tokens) + +# For each message, tokenize with BASE +def add_user_message(content: str): + temp = [*BASE_CONVERSATION, {"role": "user", "content": content}] + full_tokens = tokenizer.apply_chat_template(temp, ...) + + # Extract only the new tokens + new_tokens = full_tokens[base_len:] + return new_tokens +``` + +**Benefit:** Avoids tokenizing full conversation each time. + +**Requires:** Understanding chat template behavior with BASE anchor (Qwen models modify content!). + +### Approach 4: Manual Role Header Computation (Template-Specific) + +```python +# For Qwen chat template specifically +def get_qwen_role_header_tokens(tokenizer, role: str) -> list[int]: + """Qwen format: <|im_start|>{role}\n""" + header_text = f"<|im_start|>{role}\n" + return tokenizer.encode(header_text, add_special_tokens=False) + +def get_qwen_role_footer_tokens(tokenizer) -> list[int]: + """Qwen format: <|im_end|>\n""" + footer_text = "<|im_end|>\n" + return tokenizer.encode(footer_text, add_special_tokens=False) + +# Then combine +assistant_tokens = ( + get_qwen_role_header_tokens(tokenizer, "assistant") + + response.token_ids + # From vLLM + get_qwen_role_footer_tokens(tokenizer) +) +``` + +**Problem:** This is template-specific and brittle. Won't work across different chat templates. + +### Recommendation + +**For production use:** +- ✅ Stick with prefix matching (proven correct, works universally) +- ✅ Use `TokenAccumulator` class from v2 (better organization) +- ✅ Enable validation in dev/staging, disable in production + +**For optimization (if needed):** +1. Profile first - is prefix matching actually a bottleneck? +2. If yes, try Approach 2 (length-based slicing like NeMo-RL) +3. If that fails, try Approach 3 (BASE anchor like VERL) +4. Last resort: Template-specific logic (Approach 4) + +**Don't optimize prematurely** - the current approach is correct and maintainable. + +--- + +## Summary + +**What we achieved in v7:** +1. ✅ `TokenAccumulator` class - better code organization +2. ✅ Immediate env obs accumulation - simpler flow +3. ✅ Cached gen_prompt_len - small optimization +4. ✅ Optional validation flag - flexible debugging +5. ✅ All 5 test cases pass - proven correctness + +**What we didn't achieve:** +- ❌ Direct token extraction from vLLM (harder than expected) +- ❌ Fewer tokenization calls (still uses prefix matching) + +**Recommendation:** +- Use `TokenAccumulator` from `test_simple_vllm_v2.py` for production +- It's cleaner, more maintainable, and provably correct +- Only optimize further if profiling shows tokenization is a bottleneck + +**Files:** +- Implementation: `/home/felipemello/forge/test_simple_vllm_v2.py` +- Library comparison: `/home/felipemello/forge/brainstorming_forge_tau/changes/3_truncation_v7_library_comparison.md` + +--- + +**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation_v8_qwen_think_tags.md b/brainstorming_forge_tau/changes/3_truncation_v8_qwen_think_tags.md new file mode 100644 index 000000000..aceb3fce0 --- /dev/null +++ b/brainstorming_forge_tau/changes/3_truncation_v8_qwen_think_tags.md @@ -0,0 +1,1073 @@ +# Truncation V8: Qwen Think Tags Deep Dive + +**Date:** 2025-01-17 +**Focus:** Debugging multi-turn token accumulation with Qwen's `` tags +**Status:** ⚠️ IN PROGRESS - Duplicate tags issue found + +--- + +## Executive Summary + +While investigating budget overflow issues in multi-turn RL rollouts, we discovered: + +1. ✅ **Budget calculation bug fixed:** Using `assistant_overhead` instead of `gen_prompt_len` +2. ❌ **Duplicate `` tags:** Qwen's chat template auto-wraps content, causing duplicates +3. 🔍 **Root cause:** BASE_CHAT_HISTORY anchor includes empty `` wrapper +4. 📚 **VERL comparison:** Industry uses direct token extraction, we use delta tokenization + +--- + +## Table of Contents + +1. [Initial Bug Discovery](#initial-bug-discovery) +2. [Budget Calculation Fix (v1)](#budget-calculation-fix-v1) +3. [VERL Investigation](#verl-investigation) +4. [Qwen's enable_thinking Parameter](#qwens-enable_thinking-parameter) +5. [Duplicate Think Tags Issue](#duplicate-think-tags-issue) +6. [Current Status](#current-status) + +--- + +## Initial Bug Discovery + +### Symptom + +``` +[do_single_rollout] Turn 1 + Remaining budget: 404 + Current tokens: 1641 + Max seq len: 2048 + Calling vLLM with max_tokens=404 + + vLLM returned 404 tokens +[TokenAccumulator.add_assistant_response] + vLLM content tokens: 404 + Assistant tokens (with headers): 413 + Role header overhead: 9 + After: all_tokens=2054, is_truncated=True + ❌ EXCEEDED max_seq_len by 6 tokens! +``` + +**Math:** +- We calculated: `remaining = 2048 - 1641 - 3 = 404` +- vLLM generated: 404 tokens +- Added to accumulator: 404 + 9 = 413 tokens +- Total: 1641 + 413 = 2054 > 2048 ❌ + +### Question Asked + +"Why does this work in `test_simple_vllm_v2.py` but not in `main_v2.py`?" + +**Answer:** Both were broken! The test used Llama-3.1-8B where the overhead happened to be 4 tokens for both `gen_prompt_len` and actual overhead. When we switched to Qwen3, the mismatch became visible. + +--- + +## Budget Calculation Fix (v1) + +### Root Cause + +The old `get_generation_prompt_len()` calculated **prompt-side overhead only**: + +```python +# OLD (WRONG) +def get_generation_prompt_len(tokenizer) -> int: + messages = [{"role": "user", "content": "x"}] + without_gen = tokenize(messages, add_generation_prompt=False) + # Result: [user_tokens] + + with_gen = tokenize(messages, add_generation_prompt=True) + # Result: [user_tokens, <|im_start|>assistant\n] + + return len(with_gen) - len(without_gen) # = 3 for Qwen +``` + +This only captures the **generation prompt** added before vLLM generates, not the full overhead when accumulating the response. + +### The Fix + +```python +# NEW (CORRECT v1) +def get_assistant_overhead(tokenizer) -> int: + """Get FULL overhead including role headers + EOS token.""" + base = [ + {"role": "system", "content": ""}, + {"role": "user", "content": ""}, + ] + base_tokens = tokenizer.apply_chat_template( + base, add_generation_prompt=False, tokenize=True + ) + + # Empty assistant response + with_assistant = base + [{"role": "assistant", "content": ""}] + full_tokens = tokenizer.apply_chat_template( + with_assistant, add_generation_prompt=False, tokenize=True + ) + + return len(full_tokens) - len(base_tokens) # = 9 for Qwen3 +``` + +**Comparison:** + +| Tokenizer | gen_prompt_len | assistant_overhead | Difference | +|-----------|----------------|-------------------|------------| +| Llama-3.1-8B | 4 | 4 | 0 (accidentally works!) | +| Qwen2.5-3B | 3 | 5 | 2 tokens | +| Qwen3-1.7B | 3 | 9 | 6 tokens | + +**Budget calculation:** +```python +# OLD (wrong) +remaining = max_seq_len - current_tokens - gen_prompt_len +# For Qwen3: 2048 - 1641 - 3 = 404 +# vLLM generates 404, adds 9 overhead → 1641 + 413 = 2054 > 2048 ❌ + +# NEW (correct) +remaining = max_seq_len - current_tokens - assistant_overhead +# For Qwen3: 2048 - 1641 - 9 = 398 +# vLLM generates 398, adds 9 overhead → 1641 + 407 = 2048 ✅ +``` + +--- + +## VERL Investigation + +### Why Look at VERL? + +After finding the duplicate `` tags, we questioned whether our **prefix matching approach** was fundamentally wrong. From the library comparison doc: + +> **🔑 CRITICAL INSIGHT: Most libraries use `response.token_ids` DIRECTLY from vLLM, NOT prefix matching!** + +This led us to investigate how VERL handles Qwen without bugs. + +### VERL's Architecture + +**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` + +```python +# Lines 31-34: BASE conversation anchor +BASE_CHAT_HISTORY = [ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": "I am a user."} +] + +# Lines 204-221: Pre-compute offsets at initialization +base_conv_wo_gen_prompt_end_pos = len(tokenizer.apply_chat_template( + BASE_CHAT_HISTORY, + add_generation_prompt=False, + tokenize=True +)) + +base_conv_with_gen_prompt_end_pos = len(tokenizer.apply_chat_template( + BASE_CHAT_HISTORY + [{"role": "assistant", "content": ""}], + add_generation_prompt=False, + tokenize=True +)) +``` + +### VERL's Token Flow (with `skip_tokenizer_init=True`) + +**Step 1: Add user message (delta tokenization)** +```python +# Lines 379-393 +def add_user_message(self, processing_class, content: str): + self.messages.append(Message(role="user", content=content)) + + # Tokenize ONLY the new message using BASE anchor + messages = [*BASE_CHAT_HISTORY, self.messages[-1]] + content_ids = self._handle_apply_chat_template( + processing_class, + messages, + add_generation_prompt=False, + tokenize=True + )[..., self.base_conv_wo_gen_prompt_end_pos:] # Slice from pre-computed offset! + + self._update_input_ids(processing_class, content_ids, loss_mask=False) +``` + +**Step 2: Generate** +```python +# Lines 1053-1075: Generate with engine +generation_prompt_ids = _req.get_generation_prompt_ids(self.processing_class) +output = await self._engine.async_generate( + input_ids=generation_prompt_ids, + sampling_params=kwargs, + return_logprob=return_logprob, +) +``` + +**Step 3: Add assistant response (direct extraction)** +```python +# Lines 910-918 +if self.config.skip_tokenizer_init: + content_ids = output["output_ids"] # DIRECT from engine! + content = self.processing_class.decode(content_ids, skip_special_tokens=True) +else: + content_ids = None # Will use delta tokenization fallback + content = output["text"] + +# Lines 395-412 +def add_assistant_message(self, processing_class, content: str, content_ids: Optional[torch.Tensor] = None): + self.messages.append(Message(role="assistant", content=content, ...)) + + if content_ids is None: # Fallback if engine doesn't provide token IDs + messages = [*BASE_CHAT_HISTORY, self.messages[-1]] + content_ids = self._handle_apply_chat_template( + processing_class, + messages, + add_generation_prompt=False, + tokenize=True + )[..., self.base_conv_with_gen_prompt_end_pos:] # Slice from offset! + + self._update_input_ids(processing_class, content_ids, loss_mask=True) +``` + +### Key Difference: VERL vs Our Approach + +**VERL (Direct Token Extraction):** +```python +# 1. Generate +gen_prompt = tokenize(messages, add_generation_prompt=True) +# = [...system..., ...user..., <|im_start|>assistant\n] + +output = engine.generate(gen_prompt) +# output["output_ids"] = [content_tokens..., <|im_end|>] + +# 2. Accumulate generation prompt tokens (role headers) +gen_prompt_tokens = gen_prompt[base_with_gen_prompt_end_pos:] +input_ids.extend(gen_prompt_tokens) # loss_mask=False + +# 3. Accumulate output tokens +input_ids.extend(output["output_ids"]) # loss_mask=True + +# Final: [...system..., ...user..., <|im_start|>assistant\n, content..., <|im_end|>] +``` + +**Our Approach (Delta Tokenization):** +```python +# 1. Generate +prompt_text = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=False +) +response = vLLM.generate(prompt_text) +# response.text = "Okay..." + +# 2. Re-tokenize full assistant message +temp_messages = [*BASE_CHAT_HISTORY, {"role": "assistant", "content": response.text}] +full_tokens = tokenizer.apply_chat_template( + temp_messages, + add_generation_prompt=False, + tokenize=True +) + +# 3. Extract delta +assistant_delta = full_tokens[base_len_wo_gen:] +all_tokens.extend(assistant_delta) + +# Final: [...system..., ...user..., <|im_start|>assistant\n..., content..., <|im_end|>] +``` + +### Why VERL Works and We Don't (Initially) + +**VERL:** Splits response into: +- Generation prompt tokens (added before generation) +- Engine output tokens (added after generation) +- These are kept separate and never re-tokenized + +**Us:** Re-apply chat template to full response: +- This re-tokenizes the response through the template +- Template has special handling for `` tags +- If we use empty content for overhead calculation, template auto-adds wrappers + +### Concrete Example + +**User message:** "Hi" + +**VERL Flow:** +```python +# Generation prompt +gen_prompt = tokenize([system, user, "Hi"], add_gen_prompt=True) +# = [1,2,3, 100,101, 151644,77091,198] +# system "Hi" <|im_start|>assistant\n + +# Engine generates (continues from prompt) +output["output_ids"] = [9906, 151645] # "Hello<|im_end|>" + +# Accumulate +input_ids = [1,2,3, 100,101, 151644,77091,198, 9906,151645] +# system "Hi" role_header "Hello"<|im_end|> +``` + +**Our Flow:** +```python +# Generate +response.text = "Hello" + +# Re-tokenize [BASE + assistant] +messages = [BASE, {"role": "assistant", "content": "Hello"}] +full_tokens = tokenize(messages, add_gen_prompt=False) +# = [1,2,3, 151644,77091,198, 9906, 151645] +# system <|im_start|>assistant\n "Hello" <|im_end|> + +# Extract delta +assistant_delta = full_tokens[len(base):] +# = [151644,77091,198, 9906, 151645] + +# Accumulate +all_tokens.extend([100,101]) # "Hi" (added earlier) +all_tokens.extend(assistant_delta) +# Final: [1,2,3, 100,101, 151644,77091,198, 9906, 151645] +# system "Hi" role_header "Hello"<|im_end|> +``` + +**Both produce IDENTICAL results!** The difference is: +- VERL never re-tokenizes (more efficient) +- We re-tokenize (handles complex templates correctly) + +### Why Our Approach Is Actually Correct for Qwen + +From TEST CASE 7 output (lines 430-486 in out5.txt): + +``` +APPROACH 1: PREFIX MATCHING (OUR CURRENT IMPLEMENTATION) + Decoded: '<|im_start|>assistant + + + + + +Okay, let<|im_end|>' + +APPROACH 2: DIRECT EXTRACTION (TRL, VERL, PRIME-RL, etc.) + Decoded: '<|im_start|>assistant + + + + +<|im_end|> ← End token in the MIDDLE! + +Okay, let' +``` + +**Direct extraction produces INVALID output** for Qwen because the template has special `` tag handling. When we concatenate `role_header + content_tokens`, we bypass this handling. + +**Conclusion:** Our prefix matching approach is correct for Qwen. The issue is the overhead calculation, not the approach. + +--- + +## Qwen's enable_thinking Parameter + +### Discovery + +Qwen's tokenizer has an `enable_thinking` parameter that controls `` wrapper behavior: + +```bash +python3 -c " +from vllm.transformers_utils.tokenizer import get_tokenizer +tokenizer = get_tokenizer('Qwen/Qwen3-1.7B') + +base = [{'role': 'system', 'content': ''}, {'role': 'user', 'content': ''}] + +# Test 1: Generation prompt with enable_thinking=True +tokens_gen_on = tokenizer.apply_chat_template( + base, add_generation_prompt=True, enable_thinking=True, tokenize=True +) +print('Gen prompt (thinking=True):', tokenizer.decode(tokens_gen_on)) + +# Test 2: Generation prompt with enable_thinking=False +tokens_gen_off = tokenizer.apply_chat_template( + base, add_generation_prompt=True, enable_thinking=False, tokenize=True +) +print('Gen prompt (thinking=False):', tokenizer.decode(tokens_gen_off)) + +# Test 3: Accumulation with empty content (thinking=True) +msgs = base + [{'role': 'assistant', 'content': ''}] +tokens_empty_on = tokenizer.apply_chat_template( + msgs, add_generation_prompt=False, enable_thinking=True, tokenize=True +) +print('Empty assistant (thinking=True):', tokenizer.decode(tokens_empty_on)) + +# Test 4: Accumulation with empty content (thinking=False) +tokens_empty_off = tokenizer.apply_chat_template( + msgs, add_generation_prompt=False, enable_thinking=False, tokenize=True +) +print('Empty assistant (thinking=False):', tokenizer.decode(tokens_empty_off)) +" +``` + +**Output:** +``` +1. Empty assistant (enable_thinking=True): + '<|im_start|>system\n<|im_end|>\n<|im_start|>user\n<|im_end|>\n<|im_start|>assistant\n\n\n\n\n<|im_end|>\n' + +2. Empty assistant (enable_thinking=False): + '<|im_start|>system\n<|im_end|>\n<|im_start|>user\n<|im_end|>\n<|im_start|>assistant\n\n\n\n\n<|im_end|>\n' + +3. Assistant with content "Hello" (enable_thinking=True): + '<|im_start|>assistant\n\n\n\n\nHello<|im_end|>\n' + +4. Generation prompt (enable_thinking=True): + '<|im_start|>assistant\n' + +5. Generation prompt (enable_thinking=False): + '<|im_start|>assistant\n\n\n\n\n' +``` + +### Key Findings + +1. **For accumulation (`add_generation_prompt=False`):** Both `enable_thinking=True/False` produce **identical output** with empty content - both auto-add `\n\n\n\n` wrapper! + +2. **For generation prompt (`add_generation_prompt=True`):** + - `enable_thinking=True`: No wrapper (just `<|im_start|>assistant\n`) + - `enable_thinking=False`: Adds wrapper + +3. **Content preservation:** When content already has `` tags, both settings preserve them correctly: + +```bash +python3 -c " +from vllm.transformers_utils.tokenizer import get_tokenizer +tokenizer = get_tokenizer('Qwen/Qwen3-1.7B') + +base = [{'role': 'system', 'content': ''}, {'role': 'user', 'content': ''}] +msgs = base + [{'role': 'assistant', 'content': '\nHello\n'}] + +tokens = tokenizer.apply_chat_template(msgs, add_generation_prompt=False, enable_thinking=True, tokenize=True) +print(tokenizer.decode(tokens)) +" +``` + +**Output:** +``` +'<|im_start|>system\n<|im_end|>\n<|im_start|>user\n<|im_end|>\n<|im_start|>assistant\n\nHello\n\n\n<|im_end|>\n' +``` + +✅ Preserves the `` tags correctly, no duplicates! + +--- + +## Duplicate Think Tags Issue + +### The Problem + +From `out5.txt` (lines 88-100): + +``` +<|im_start|>assistant + ← Empty wrapper (shouldn't be here!) + + + + ← Actual vLLM generation +Okay, let's see. The user has a hand of 15... +``` + +### Hypothesis 1: Overhead Calculation + +**Original approach (v1):** +```python +def get_assistant_overhead(tokenizer) -> int: + base = [{"role": "system", "content": ""}, {"role": "user", "content": ""}] + base_tokens = tokenizer.apply_chat_template(base, add_generation_prompt=False, tokenize=True) + + # Empty assistant response + with_assistant = base + [{"role": "assistant", "content": ""}] + full_tokens = tokenizer.apply_chat_template(with_assistant, add_generation_prompt=False, tokenize=True) + + return len(full_tokens) - len(base_tokens) # = 9 for Qwen3 +``` + +**Decoded:** +``` +'<|im_start|>assistant\n\n\n\n\n<|im_end|>\n' +``` + +The overhead (9 tokens) includes the auto-added `\n\n\n\n` wrapper! + +**Attempted fix (v2):** +```python +def get_assistant_overhead(tokenizer) -> int: + base = [{"role": "system", "content": ""}, {"role": "user", "content": ""}] + base_tokens = tokenizer.apply_chat_template(base, add_generation_prompt=False, tokenize=True) + + # Use content with think tags to avoid auto-wrapper + with_assistant = base + [{"role": "assistant", "content": "X"}] + full_tokens = tokenizer.apply_chat_template(with_assistant, add_generation_prompt=False, tokenize=True) + + # Subtract the content tokens + content_only = tokenizer.encode("X", add_special_tokens=False) + overhead = len(full_tokens) - len(base_tokens) - len(content_only) + + return overhead # = 8 for Qwen3 +``` + +**Test result:** +```bash +OLD overhead (empty content): 9 +NEW overhead (with think tags): 8 +Difference: 1 tokens +``` + +But from `out5.txt` line 410-411: +``` +Total tokens added (with headers): 161 +Role header overhead: 9 ← STILL 9 when accumulating! +``` + +**The issue:** `tokenizer.encode("X")` tokenizes differently than how it appears inside `apply_chat_template()`. Inside the template, it becomes `\nX\n\n\n` (with newlines). + +### Hypothesis 2: BASE_CHAT_HISTORY Anchor + +Looking at our BASE_CHAT_HISTORY setup: + +```python +# In __init__ +self.BASE_CHAT_HISTORY = [ + {"role": "system", "content": system_prompt}, + {"role": "user", "content": ""}, # Empty user message +] + +self.base_len_wo_gen = len(tokenizer.apply_chat_template( + self.BASE_CHAT_HISTORY, + add_generation_prompt=False, + tokenize=True, +)) +``` + +When we extract assistant delta: + +```python +temp_messages = [*self.BASE_CHAT_HISTORY, {"role": "assistant", "content": response_text}] +full_with_assistant = tokenizer.apply_chat_template( + temp_messages, + add_generation_prompt=False, + tokenize=True, +) +assistant_tokens = full_with_assistant[self.base_len_wo_gen:] +``` + +**The question:** Does `BASE_CHAT_HISTORY` include the empty `` wrapper when we tokenize it? + +**Test:** +```bash +python3 -c " +from vllm.transformers_utils.tokenizer import get_tokenizer +tokenizer = get_tokenizer('Qwen/Qwen3-1.7B') + +BASE = [{'role': 'system', 'content': ''}, {'role': 'user', 'content': ''}] +base_tokens = tokenizer.apply_chat_template(BASE, add_generation_prompt=False, tokenize=True) + +# With vLLM response +with_resp = BASE + [{'role': 'assistant', 'content': 'Hello'}] +full_tokens = tokenizer.apply_chat_template(with_resp, add_generation_prompt=False, tokenize=True) + +print(f'BASE length: {len(base_tokens)}') +print(f'BASE decoded: {repr(tokenizer.decode(base_tokens))}') +print(f'Full length: {len(full_tokens)}') +print(f'Full decoded: {repr(tokenizer.decode(full_tokens))}') +print(f'Delta: {full_tokens[len(base_tokens):]}') +print(f'Delta decoded: {repr(tokenizer.decode(full_tokens[len(base_tokens):]))}') +" +``` + +This will show us if the delta includes unwanted empty wrappers. + +--- + +## Current Status + +### What Works +- ✅ Test validation passes (all_tokens matches ground_truth) +- ✅ Budget calculation uses correct overhead value +- ✅ Token accumulation is accurate (no missing tokens) + +### What's Broken +- ❌ Duplicate `` tags in decoded output +- ❌ Empty `\n\n\n\n` wrapper appearing before actual content +- ❌ Budget still exceeds by 1 token in TEST CASE 6 + +### Evidence from out5.txt + +**Lines 88-100 (Duplicate tags):** +``` +<|im_start|>assistant + + + + + +Okay, let's see... +``` + +**Lines 410-421 (Budget overflow):** +``` +Assistant overhead: 8 +vLLM generated: 152 tokens +Total tokens added: 161 +Role header overhead: 9 ← Actual is 9, not 8! +❌ BUDGET EXCEEDED by 1 token +``` + +**Lines 514-525 (Multi-turn duplicates):** +``` +<|im_start|>assistant + +Okay, let<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + + +Okay, let<|im_end|> +``` + +--- + +## Next Debugging Steps + +1. ✅ Test if `BASE_CHAT_HISTORY` tokenization includes empty wrapper +2. ⚠️ Investigate where the empty `` comes from during delta extraction +3. ⚠️ Fix overhead calculation to return 9 instead of 8 +4. ⚠️ Decide: Keep prefix matching or switch to direct extraction? + +--- + +## Code Locations + +- Test file: `/home/felipemello/forge/test_simple_vllm_v2.py` +- Main training: `/home/felipemello/forge/apps/blackjack/main_v2.py` +- Config: `/home/felipemello/forge/apps/blackjack/qwen3_1_7b.yaml` +- Library comparison: `/home/felipemello/forge/brainstorming_forge_tau/changes/3_truncation_v7_library_comparison.md` +- VERL schemas: `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` +- VERL rollout: `/home/felipemello/forge/verl/verl/workers/rollout/sglang_rollout/sglang_rollout.py` + +--- + +## Key Learnings + +1. **Budget calculation:** Must account for FULL overhead (role headers + EOS), not just generation prompt +2. **Model-specific behavior:** Llama vs Qwen have different overhead values; tests must use production model +3. **Qwen's think tags:** Template auto-wraps empty content in ``, causing overhead calculation issues +4. **VERL's approach:** Direct token extraction avoids re-tokenization but requires careful role header handling +5. **Prefix matching trade-offs:** Handles complex templates correctly but requires precise overhead calculation +6. **Test robustness:** Using different models in test vs production masked the bug initially + +--- + +**STATUS:** Investigation ongoing - need to determine source of empty `` wrapper in delta extraction. + +**Symptom:** +``` +[do_single_rollout] Turn 1 + Remaining budget: 404 + vLLM returned 404 tokens + +[TokenAccumulator.add_assistant_response] + vLLM content tokens: 404 + Assistant tokens (with headers): 413 + Role header overhead: 9 + After: all_tokens=2054, is_truncated=True + ❌ EXCEEDED max_seq_len by 6 tokens! +``` + +**Root Cause:** + +The old `get_generation_prompt_len()` calculated: +```python +# Calculates prompt-side overhead only +messages = [{"role": "user", "content": "x"}] +without_gen = tokenize(messages, add_generation_prompt=False) # [tokens] +with_gen = tokenize(messages, add_generation_prompt=True) # [tokens, <|im_start|>assistant\n] +gen_prompt_len = len(with_gen) - len(without_gen) # = 3 for Qwen +``` + +This gives **only the prompt-side assistant header** (`<|im_start|>assistant\n`), but not the full overhead when accumulating responses. + +**The Fix (v1):** + +```python +def get_assistant_overhead(tokenizer) -> int: + """Get FULL overhead including role headers + EOS token.""" + base = [ + {"role": "system", "content": ""}, + {"role": "user", "content": ""}, + ] + base_tokens = tokenizer.apply_chat_template(base, add_generation_prompt=False, tokenize=True) + + # Empty assistant response + with_assistant = base + [{"role": "assistant", "content": ""}] + full_tokens = tokenizer.apply_chat_template(with_assistant, add_generation_prompt=False, tokenize=True) + + return len(full_tokens) - len(base_tokens) # = 9 for Qwen +``` + +**Budget calculation:** +```python +# OLD (wrong) +remaining = max_seq_len - current_tokens - gen_prompt_len # Uses 3 +# Result: 2048 - 1641 - 3 = 404 +# vLLM generates 404, adds 9 overhead → 1641 + 413 = 2054 > 2048 ❌ + +# NEW (correct) +remaining = max_seq_len - current_tokens - assistant_overhead # Uses 9 +# Result: 2048 - 1641 - 9 = 398 +# vLLM generates 398, adds 9 overhead → 1641 + 407 = 2048 ✅ +``` + +--- + +### Issue 2: Qwen's `enable_thinking` Parameter + +**Discovery:** + +Qwen's tokenizer has an `enable_thinking` parameter that controls `` wrapper behavior: + +```python +# Test with generation prompt (add_generation_prompt=True) +tokenize(messages, add_generation_prompt=True, enable_thinking=True) +# → '<|im_start|>assistant\n' (NO wrapper) + +tokenize(messages, add_generation_prompt=True, enable_thinking=False) +# → '<|im_start|>assistant\n\n\n\n\n' (ADDS wrapper) + +# Test with accumulation (add_generation_prompt=False, empty content) +tokenize([...assistant with ""], add_generation_prompt=False, enable_thinking=True) +# → '<|im_start|>assistant\n\n\n\n\n<|im_end|>\n' + +tokenize([...assistant with ""], add_generation_prompt=False, enable_thinking=False) +# → '<|im_start|>assistant\n\n\n\n\n<|im_end|>\n' (SAME!) +``` + +**Key Insight:** +- For `add_generation_prompt=False` (accumulation), both settings produce the same output with empty content +- The template auto-adds `` wrapper for empty assistant messages + +**With content that already has think tags:** +```python +tokenize([...assistant with "Hello"], add_generation_prompt=False, enable_thinking=True) +# → '<|im_start|>assistant\n\nHello\n\n\n<|im_end|>\n' (Preserves tags ✅) + +tokenize([...assistant with "Hello"], add_generation_prompt=False, enable_thinking=False) +# → '<|im_start|>assistant\n\nHello\n\n\n<|im_end|>\n' (Preserves tags ✅) +``` + +--- + +### Issue 3: Duplicate `` Tags (CURRENT ISSUE) + +**Symptom:** + +From test output (`out5.txt`): +``` +<|im_start|>assistant + ← Empty wrapper (shouldn't be here!) + + + + ← Actual vLLM generation +Okay, let's see... +``` + +**The Problem:** + +When computing overhead with **empty content**, the template adds `\n\n\n\n`: + +```python +# Old approach +with_assistant = base + [{"role": "assistant", "content": ""}] +full_tokens = tokenize(with_assistant, add_generation_prompt=False) +# Result: [..., <|im_start|>assistant\n\n\n\n\n<|im_end|>\n] +overhead = len(full_tokens) - len(base_tokens) # = 9 tokens +``` + +This overhead (9 tokens) includes the auto-added `\n\n\n\n` wrapper, which shouldn't be counted as overhead! + +**The Fix (v2 - attempted):** + +```python +def get_assistant_overhead(tokenizer) -> int: + """Compute overhead WITHOUT the think wrapper.""" + base = [...] + base_tokens = tokenizer.apply_chat_template(base, add_generation_prompt=False, tokenize=True) + + # Use content with think tags to avoid auto-wrapper + with_assistant = base + [{"role": "assistant", "content": "X"}] + full_tokens = tokenizer.apply_chat_template(with_assistant, add_generation_prompt=False, tokenize=True) + + # Subtract the content tokens + content_only = tokenizer.encode("X", add_special_tokens=False) + overhead = len(full_tokens) - len(base_tokens) - len(content_only) + + return overhead # = 8 tokens (was 9) +``` + +**Result:** +``` +OLD overhead (empty content): 9 +NEW overhead (with think tags): 8 +Difference: 1 token +``` + +But the decoded output still shows duplicates! This means the issue is elsewhere. + +--- + +## Current Hypothesis: Generation Prompt Issue + +The problem might be in `format_prompt()`: + +```python +def format_prompt(self) -> str: + """Format prompt for generation.""" + return self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=True, + tokenize=False, + # ⚠️ Missing: enable_thinking parameter! + ) +``` + +**Hypothesis:** +1. If default `enable_thinking=True` → generation prompt = `<|im_start|>assistant\n` (no wrapper) +2. vLLM generates: `Okay...` +3. Accumulation extracts the full response including headers +4. But somewhere an empty `` is being added + +**Need to investigate:** +1. What is the actual generation prompt sent to vLLM? +2. What does vLLM's `output.text` contain? (raw response) +3. How does `add_assistant_response()` process it? + +--- + +## Token Flow Comparison: VERL vs Our Approach + +### VERL (Direct Token Extraction) + +```python +# Step 1: Generate +gen_prompt = tokenize(messages, add_generation_prompt=True) +# = [..., <|im_start|>assistant\n] + +output = engine.generate(gen_prompt) +# output["output_ids"] = [content_tokens..., <|im_end|>] + +# Step 2: Accumulate generation prompt tokens +gen_prompt_tokens = gen_prompt[base_len:] # Role headers +input_ids.extend(gen_prompt_tokens) # loss_mask=False + +# Step 3: Accumulate output +input_ids.extend(output["output_ids"]) # loss_mask=True +``` + +**Key:** They split the response into (role headers from prompt) + (content from engine). + +### Our Approach (Delta Tokenization) + +```python +# Step 1: Generate +prompt_text = tokenizer.apply_chat_template(messages, add_generation_prompt=True, tokenize=False) +response = vLLM.generate(prompt_text) +# response.text = "Okay..." +# response.token_ids = [content_tokens] (vLLM removes special tokens by default) + +# Step 2: Re-tokenize full assistant message +temp_messages = [*BASE_CHAT_HISTORY, {"role": "assistant", "content": response.text}] +full_tokens = tokenizer.apply_chat_template(temp_messages, add_generation_prompt=False, tokenize=True) + +# Step 3: Extract delta +assistant_delta = full_tokens[base_len_wo_gen:] +all_tokens.extend(assistant_delta) +``` + +**Key:** We re-apply chat template to get the full assistant message with proper formatting. + +--- + +## Debugging Steps + +### 1. Check what vLLM actually returns + +```python +response = vLLM.generate(prompt_text) +print(f"response.text: {repr(response.text)}") +print(f"response.token_ids: {response.token_ids}") +``` + +### 2. Check the generation prompt + +```python +prompt_text = accumulator.format_prompt() +print(f"Generation prompt:\n{prompt_text}") + +# Also tokenize it to see the tokens +prompt_tokens = tokenizer.apply_chat_template( + accumulator.messages, + add_generation_prompt=True, + tokenize=True, +) +print(f"Last 20 tokens: {prompt_tokens[-20:]}") +print(f"Decoded last part: {tokenizer.decode(prompt_tokens[-20:])}") +``` + +### 3. Check the delta extraction + +```python +# In add_assistant_response +temp_messages = [*self.BASE_CHAT_HISTORY, {"role": "assistant", "content": response_text}] +full_with_assistant = tokenizer.apply_chat_template(temp_messages, add_generation_prompt=False, tokenize=True) + +print(f"BASE_CHAT_HISTORY: {self.BASE_CHAT_HISTORY}") +print(f"base_len_wo_gen: {self.base_len_wo_gen}") +print(f"response_text: {repr(response_text)}") +print(f"full_with_assistant: {full_with_assistant}") +print(f"Decoded: {tokenizer.decode(full_with_assistant)}") +print(f"assistant_delta: {full_with_assistant[self.base_len_wo_gen:]}") +``` + +--- + +## Next Steps + +1. ✅ Add debug logging to `format_prompt()` and `add_assistant_response()` +2. ✅ Test with explicit `enable_thinking=True` in `format_prompt()` +3. ✅ Verify that vLLM's response doesn't include the empty wrapper +4. ⚠️ Find where the duplicate `` is coming from + +--- + +## Code Locations + +- Test file: `/home/felipemello/forge/test_simple_vllm_v2.py` +- Main training: `/home/felipemello/forge/apps/blackjack/main_v2.py` +- Config: `/home/felipemello/forge/apps/blackjack/qwen3_1_7b.yaml` +- Library comparison: `/home/felipemello/forge/brainstorming_forge_tau/changes/3_truncation_v7_library_comparison.md` + +--- + +## Key Learnings + +1. **Budget calculation:** Must account for FULL overhead (role headers + EOS), not just generation prompt +2. **Qwen's think tags:** Template auto-wraps empty content, causing issues with overhead calculation +3. **Prefix matching is correct:** For complex templates like Qwen, we NEED to re-apply chat template to handle special tokens +4. **VERL uses direct extraction:** Works for simpler templates but requires careful handling of role headers + +--- + +**STATUS:** Investigation ongoing - duplicate `` tags still appearing despite overhead fix. + + +---- + +appendix + +python3 -c " +from vllm.transformers_utils.tokenizer import get_tokenizer +tokenizer = get_tokenizer('Qwen/Qwen3-1.7B') + +BASE = [{'role': 'system', 'content': ''}, {'role': 'user', 'content': ''}] +base_tokens = tokenizer.apply_chat_template(BASE, add_generation_prompt=False, tokenize=True) + +print('='*80) +print('TEST 1: Complete think tags (closing tag present)') +print('='*80) +with_complete = BASE + [{'role': 'assistant', 'content': '\nHello\n'}] +full = tokenizer.apply_chat_template(with_complete, add_generation_prompt=False, tokenize=True) +delta = full[len(base_tokens):] +print(f'Content: \\nHello\\n') +print(f'Delta decoded:\n{repr(tokenizer.decode(delta))}') + +print('\n' + '='*80) +print('TEST 2: Incomplete think tags (NO closing tag - TRUNCATED)') +print('='*80) +with_incomplete = BASE + [{'role': 'assistant', 'content': '\nHello'}] +full = tokenizer.apply_chat_template(with_incomplete, add_generation_prompt=False, tokenize=True) +delta = full[len(base_tokens):] +print(f'Content: \\nHello (no closing tag)') +print(f'Delta decoded:\n{repr(tokenizer.decode(delta))}') + +print('\n' + '='*80) +print('TEST 3: No think tags at all') +print('='*80) +with_none = BASE + [{'role': 'assistant', 'content': 'Hello'}] +full = tokenizer.apply_chat_template(with_none, add_generation_prompt=False, tokenize=True) +delta = full[len(base_tokens):] +print(f'Content: Hello') +print(f'Delta decoded:\n{repr(tokenizer.decode(delta))}') +" + +EST 1: Complete think tags (closing tag present) +================================================================================ +Content: +Hello + +Delta decoded: +'<|im_start|>assistant\n\nHello\n\n\n<|im_end|>\n' + +================================================================================ +TEST 2: Incomplete think tags (NO closing tag - TRUNCATED) +================================================================================ +Content: +Hello (no closing tag) +Delta decoded: +'<|im_start|>assistant\n\n\n\n\n\nHello<|im_end|>\n' + +================================================================================ +TEST 3: No think tags at all +================================================================================ +Content: Hello +Delta decoded: +'<|im_start|>assistant\n\n\n\n\nHello<|im_end|>\n' + + + + What's Happening + + TEST 1 (Complete tags): + Content: '\nHello\n' + Delta: '<|im_start|>assistant\n\nHello\n\n\n<|im_end|>\n' + ✅ CLEAN! No duplicates - template preserves complete tags correctly. + + TEST 2 (Incomplete tags - TRUNCATED): + Content: '\nHello' (no closing tag!) + Delta: '<|im_start|>assistant\n\n\n\n\n\nHello<|im_end|>\n' + ❌ DUPLICATE! Template adds empty wrapper \n\n\n\n BEFORE the incomplete tag! + + TEST 3 (No tags): + Content: 'Hello' + Delta: '<|im_start|>assistant\n\n\n\n\nHello<|im_end|>\n' + ✅ Expected - template wraps plain content in tags. + + --- + The Real Problem + + When vLLM truncates mid-generation, the response has: + - Opening tag: \n + - Content: Okay, let's see... + - NO closing tag (truncated before ) + + The chat template's logic: + 1. Sees incomplete tag in content + 2. Thinks: "This is malformed, I need to add proper wrappers!" + 3. Adds: \n\n\n\n (empty wrapper) + keeps the original incomplete \nOkay... + 4. Result: Duplicate tags! + + --- + Why This Happens in Your Tests + + Looking at out5.txt: + - Line 61-69: Response: '\nOkay...' + ⚠️ Generation TRUNCATED + - Lines 92-100: Duplicate tags appear + + The generation was truncated at 50 tokens (max_tokens limit), so the tag was never closed! + + TEST CASE 6 (lines 389-421) shows a different problem: + - NOT truncated (generation completed normally) + - Budget overflow: assistant_overhead=8 but actual overhead is 9 + - This is the overhead calculation bug (v2 fix didn't work correctly) + + The duplicate tags issue only affects truncated responses, which are already being filtered out by your mask logic. The real bug to fix is getting the + overhead calculation to return 9 instead of 8. diff --git a/brainstorming_forge_tau/changes/3_truncation_v9_core_issue_and_fix.md b/brainstorming_forge_tau/changes/3_truncation_v9_core_issue_and_fix.md new file mode 100644 index 000000000..58d434a0b --- /dev/null +++ b/brainstorming_forge_tau/changes/3_truncation_v9_core_issue_and_fix.md @@ -0,0 +1,368 @@ +# Truncation V9: Core Issue and Fix + +**Date:** 2025-01-17 +**Status:** Root cause identified, simple fix available + +--- + +## The Problem + +Your decoded conversations show duplicate `` tags: + +``` +<|im_start|>assistant + ← AUTO-ADDED BY TEMPLATE + + + ← FROM VLLM +Okay, let's see... +``` + +**Root cause:** Your current implementation re-applies `chat_template` to get role headers, which triggers Qwen's auto-wrapping behavior on incomplete `` tags. + +--- + +## How VeRL Does It + +**VeRL's approach:** + +```python +# 1. Generate with engine +output = engine.generate(prompt) + +# 2. Get FULL token sequence directly from engine (including role headers) +if skip_tokenizer_init: + assistant_tokens = output["output_ids"] # Contains: role_header + content + eos +else: + # Fallback: re-tokenize via BASE anchor + assistant_tokens = tokenize(BASE + [{"role": "assistant", "content": output["text"]}])[base_len:] +``` + +**Key:** VeRL's engine (SGLang) returns `output_ids` with role headers already included. + +--- + +## Why You Can't Do the Exact Same + +**VeRL's engine vs your vLLM:** + +| What | VeRL (SGLang with skip_tokenizer_init) | Your vLLM | +|------|----------------------------------------|-----------| +| Returns | `[role_start, assistant, newline, content..., eos]` | `[content...]` only | +| Role headers | ✅ Included | ❌ Missing | +| Can use directly | ✅ Yes | ❌ No, need to add headers | + +**Example:** +```python +# VeRL's engine returns: +[151644, 77091, 198, 151667, 271, 151668, 271, 151667, 198, 32313, 11, 1077, 151645] +# ^role ^asst ^nl ^think ^nl ^/think^nl ^think ^nl ^content... ^eos + +# Your vLLM returns: +[151667, 198, 32313, 11, 1077] +# ^think ^nl ^content... +``` + +**You must add role headers separately.** + +--- + +## Your Current Approach (Why It Creates Duplicates) + +```python +# Current code (main_v2.py:261-298) +def add_assistant_response(response_text, response_token_ids): + # 1. Add message to list + self.messages.append({"role": "assistant", "content": response_text}) + + # 2. Re-tokenize via chat template to get role headers + temp_messages = [*BASE_CHAT_HISTORY, {"role": "assistant", "content": response_text}] + full_with_assistant = tokenizer.apply_chat_template(temp_messages, tokenize=True) + assistant_tokens = full_with_assistant[base_len:] # Extract delta +``` + +**What happens when response_text = `"\nOkay..."`** (incomplete, no closing tag): + +1. Chat template sees incomplete `` tag +2. Qwen's template logic: "malformed think tag, I'll add proper wrappers" +3. Outputs: `\n\n\n\n` + `\nOkay...` +4. Result: **duplicate tags** + +**Evidence from v8 appendix (lines 1010-1017):** +``` +Content: '\nHello' (no closing tag!) +Delta decoded: +'<|im_start|>assistant\n\n\n\n\n\nHello<|im_end|>\n' +❌ DUPLICATE! +``` + +--- + +## The Simple Fix + +**Use vLLM's `output.token_ids` directly + pre-computed role headers.** + +### Step 1: Pre-compute role headers (one-time, at init) + +```python +@lru_cache(maxsize=1) +def get_role_header_and_footer(tokenizer): + """Get role header and footer tokens for assistant.""" + # Tokenize conversation with COMPLETE think tags (avoids auto-wrapper) + base = [ + {"role": "system", "content": ""}, + {"role": "user", "content": ""}, + ] + with_assistant = base + [{"role": "assistant", "content": "X"}] + + # Get full sequence + full_tokens = tokenizer.apply_chat_template(with_assistant, tokenize=True) + + # Get base length + base_len = len(tokenizer.apply_chat_template(base, tokenize=True)) + + # Get content-only tokens + content_tokens = tokenizer.encode("X", add_special_tokens=False) + + # Extract role tokens: full - base - content + assistant_full = full_tokens[base_len:] + + # Find where content starts and ends + # Role header = everything before content + # Footer = everything after content (typically just eos) + + # Simple approach: header is first N tokens, footer is last M tokens + # For Qwen: header ≈ 8 tokens, footer ≈ 1 token (eos) + + # More robust: search for content_tokens in assistant_full + import numpy as np + content_arr = np.array(content_tokens) + assistant_arr = np.array(assistant_full) + + # Find content position + for i in range(len(assistant_arr) - len(content_arr) + 1): + if np.array_equal(assistant_arr[i:i+len(content_arr)], content_arr): + header = assistant_full[:i].tolist() + footer = assistant_full[i+len(content_arr):].tolist() + return header, footer + + raise ValueError("Could not find content in assistant tokens") +``` + +### Step 2: Use direct tokens + headers + +```python +def add_assistant_response(response_text, response_token_ids, response_logprobs): + """ + Add assistant response using DIRECT token IDs from vLLM. + + This avoids re-applying chat template, which prevents Qwen's + think-tag auto-wrapping behavior. + """ + # Get pre-computed role headers + role_header, role_footer = get_role_header_and_footer(self.tokenizer) + + # Combine: header + content (from vLLM) + footer + assistant_tokens = role_header + response_token_ids + role_footer + + # Create logprobs: zeros for headers, actual for content + assistant_logprobs = ( + [0.0] * len(role_header) + + response_logprobs + + [0.0] * len(role_footer) + ) + + # Check truncation (last content token != eos) + is_truncated = (response_token_ids[-1] != self.eos_token_id) + mask_value = 0 if is_truncated else 1 + + # Accumulate + self.all_tokens.extend(assistant_tokens) + self.response_mask.extend([mask_value] * len(assistant_tokens)) + self.logprobs.extend(assistant_logprobs) + + # Add to messages (for next turn's prompt) + self.messages.append({"role": "assistant", "content": response_text}) + + return not is_truncated +``` + +--- + +## Why This Works + +**Old approach:** +``` +vLLM returns: [, Okay] +↓ re-apply chat template +Chat template sees: "\nOkay" (incomplete) +↓ auto-wraps +Result: [role_start, , , , Okay, eos] +``` + +**New approach:** +``` +vLLM returns: [, Okay] +↓ prepend pre-computed header, append footer +Result: [role_start, , Okay, eos] +No template re-application = no auto-wrapping +``` + +**Key insight:** By using vLLM's tokens directly and only adding static role headers, we never re-apply the chat template on vLLM's content, so Qwen's think-tag logic never triggers. + +--- + +## Implementation + +### Change 1: Update `get_assistant_overhead` + +```python +# main_v2.py lines 134-167 + +@lru_cache(maxsize=1) +def get_assistant_overhead(tokenizer) -> tuple[int, list[int], list[int]]: + """ + Get role header and footer tokens for assistant responses. + + Returns: + (overhead_count, header_tokens, footer_tokens) + """ + base = [{"role": "system", "content": ""}, {"role": "user", "content": ""}] + base_tokens = tokenizer.apply_chat_template(base, tokenize=True) + + # Use complete think tags to avoid auto-wrapper + with_assistant = base + [{"role": "assistant", "content": "X"}] + full_tokens = tokenizer.apply_chat_template(with_assistant, tokenize=True) + + # Get content-only tokens + content_tokens = tokenizer.encode("X", add_special_tokens=False) + + # Extract assistant portion + assistant_full = full_tokens[len(base_tokens):] + + # Find content position + import numpy as np + for i in range(len(assistant_full) - len(content_tokens) + 1): + if assistant_full[i:i+len(content_tokens)] == content_tokens: + header = assistant_full[:i] + footer = assistant_full[i+len(content_tokens):] + overhead = len(header) + len(footer) + return overhead, header, footer + + # Fallback: assume eos is footer, rest is header + header = assistant_full[:-1] + footer = assistant_full[-1:] + overhead = len(assistant_full) - len(content_tokens) + return overhead, header, footer +``` + +### Change 2: Update TokenAccumulator.__init__ + +```python +# main_v2.py lines 185-206 + +def __init__(self, tokenizer, messages, max_seq_len, eos_token_id, ...): + self.tokenizer = tokenizer + self.max_seq_len = max_seq_len + self.eos_token_id = eos_token_id + + # Get role headers/footers + overhead, self.role_header, self.role_footer = get_assistant_overhead(tokenizer) + self.assistant_overhead = overhead + + # Rest of init... +``` + +### Change 3: Update add_assistant_response + +```python +# main_v2.py lines 261-329 + +def add_assistant_response(self, response_text, response_token_ids, response_logprobs=None): + """Add assistant response using DIRECT tokens from vLLM.""" + + # Check truncation + is_truncated = (len(response_token_ids) > 0 and + response_token_ids[-1] != self.eos_token_id) + + # Combine: header + vLLM content + footer + assistant_tokens = self.role_header + response_token_ids + self.role_footer + + # Create logprobs + num_content = len(response_token_ids) + assistant_logprobs = [0.0] * len(self.role_header) + if response_logprobs: + assistant_logprobs.extend(response_logprobs) + else: + assistant_logprobs.extend([0.0] * num_content) + assistant_logprobs.extend([0.0] * len(self.role_footer)) + + # Accumulate + mask_value = 0 if is_truncated else 1 + self.all_tokens.extend(assistant_tokens) + self.response_mask.extend([mask_value] * len(assistant_tokens)) + self.logprobs.extend(assistant_logprobs) + + # Add to messages for next prompt + self.messages.append({"role": "assistant", "content": response_text}) + + if is_truncated: + self.is_truncated = True + self.truncation_reason = "generation_length" + + return not is_truncated +``` + +--- + +## Comparison: Old vs New + +| Aspect | Old (Prefix Matching) | New (Direct Tokens) | +|--------|-----------------------|---------------------| +| Tokenization | Re-applies chat template every turn | Uses vLLM tokens + static headers | +| Think tag handling | ❌ Triggers auto-wrapper | ✅ No template re-application | +| Complexity | Medium (BASE anchor slicing) | Low (simple concatenation) | +| Matches VeRL | Partially (uses BASE anchor) | Yes (direct tokens + headers) | +| Token count | Exact (via finalize check) | Exact (pre-computed headers) | + +--- + +## What About User Messages? + +**User messages still use prefix matching** (unchanged): + +```python +def add_user_message(self, content, check_budget=True): + """Add user message using BASE anchor (unchanged).""" + self.messages.append({"role": "user", "content": content}) + + # Tokenize system + user to get delta + temp_messages = [self.BASE_CHAT_HISTORY[0], {"role": "user", "content": content}] + full_with_user = self.tokenizer.apply_chat_template(temp_messages, tokenize=True) + user_message_tokens = full_with_user[self.system_len:] + + # ... budget check and accumulation +``` + +**Why this is fine:** +- User messages don't have think tags (no auto-wrapper issue) +- Content is under our control (from environment) +- Prefix matching is reliable here + +--- + +## Summary + +**How VeRL does it:** Direct token IDs from engine (which includes role headers). + +**Why you can't do the exact same:** vLLM only returns content tokens, not role headers. + +**The fix:** Use vLLM's content tokens directly + pre-computed static role headers. + +**Why this fixes think tags:** No re-application of chat template = no auto-wrapping logic triggered. + +**Code changes:** 3 small changes to `get_assistant_overhead`, `__init__`, and `add_assistant_response`. + +--- + +**End of Document** diff --git a/brainstorming_forge_tau/simplification_ideas_token_accumulation.md b/brainstorming_forge_tau/simplification_ideas_token_accumulation.md new file mode 100644 index 000000000..036d96d39 --- /dev/null +++ b/brainstorming_forge_tau/simplification_ideas_token_accumulation.md @@ -0,0 +1,175 @@ +# Simplification Ideas: Token Accumulation in Multi-Turn RL Rollouts + +## Problem Statement + +Our current implementation in `clean_code.py` has significant complexity: + +### Current Complexity Issues: + +1. **Multiple `apply_chat_template` calls before generation:** + - Call #1 (line 71): Extract new prompt tokens WITHOUT generation prompt + - Call #2 (line 88): Check budget WITH generation prompt + - Call #3 (line 102): Create prompt text WITH generation prompt (for actual generation) + + **Why this is complex:** We tokenize the same conversation 3 times with slightly different settings before we even generate. + +2. **Multiple `apply_chat_template` calls after generation:** + - Call #4 (line 120): Extract assistant tokens via prefix matching + - Call #5 (line 166): Check if env obs would exceed budget + - Call #6 (line 179): Extract env obs tokens via prefix matching + + **Total:** Up to 6 `apply_chat_template` calls per turn! + +3. **Mismatch between `messages` and `all_tokens`:** + When truncation occurs: + - `messages[-1]` contains FULL observation content + - `all_tokens` contains TRUNCATED version + + This mismatch is intentional but confusing. + +4. **Cannot use `response.token_ids` directly:** + - `response.token_ids` = [3 tokens] (just content like "HIT") + - `assistant_tokens` = [7 tokens] (includes `<|im_start|>assistant\n` + content + `<|im_end|>\n`) + + Must re-tokenize full conversation to get role headers. + +## What We're Trying To Do + +**Goal:** Accumulate tokens incrementally during multi-turn RL episodes while: +1. Tracking budget (max_seq_len constraint) +2. Detecting truncation (generation or env observation) +3. Maintaining correct token sequences for training (all special tokens included) +4. Supporting variable-length episodes (env can end at any turn) + +**Key Constraint:** `all_token_ids` must exactly match what `tokenizer.apply_chat_template(messages, ...)` would produce if called at the end. This is critical for: +- Reference model scoring (needs identical token sequence) +- Training (response_mask must align with actual tokens) + +## Relevant Documents to Review + +### Internal Documentation: +- `/home/felipemello/forge/brainstorming_forge_tau/changes/3_truncation_v6_token_accumulation_insights.md` + - Analysis of how TRL, VERL, NeMo-RL, Verifiers, and Tinker handle token accumulation + - Full library paths and code references + +- `/home/felipemello/forge/brainstorming_forge_tau/changes/3_truncation_v5_simplified_env.md` + - Previous attempt (incorrect approach using `tokenizer.encode()`) + - Shows what NOT to do + +- `/home/felipemello/forge/test_simple_vllm.py` + - Comprehensive test suite validating current approach + - 5 test cases covering all truncation scenarios + +### Key Code References: +- Current implementation: `/home/felipemello/forge/clean_code.py` +- Generator: `/home/felipemello/forge/src/forge/actors/generator.py` +- GRPO trainer: `/home/felipemello/forge/apps/grpo/main.py` + +## Research Questions for Future Investigation + +**To be researched via subagents (NOT NOW - this is setup for future work):** + +### 1. How do other libraries handle this? + +**TRL (Transformers Reinforcement Learning):** +- Path: +- Questions: + - How does accumulate tokens in PPOTrainer? + - Do they use prefix matching or something else? + - How do they handle truncation? + - We know they use prefix matching (from v6 doc) + - How many tokenization calls do they make per turn? + - Do they have any optimizations we're missing? + +`/home/felipemello/forge/verl/` +`/home/felipemello/forge/trl/` +/home/felipemello/forge/prime-rl +/home/felipemello/forge/RL +/home/felipemello/forge/tinker-cookbook +/home/felipemello/forge/verifiers + +### 2. Can we avoid multiple tokenization calls? + +**Idea A: Cache tokenized results** +- After call #1, can we reuse those tokens for calls #2 and #3? +- Problem: Call #2 and #3 have `add_generation_prompt=True` +- Could we manually append generation prompt tokens instead of re-tokenizing? + +**Idea B: Tokenizer state/incremental tokenization** +- Does HF tokenizer support incremental tokenization? +- Can we tokenize just the new message and append? +- Problem: Chat template adds role headers that depend on position + +**Idea C: Pre-compute generation prompt tokens** +- Tokenize generation prompt once at start +- Manually append when needed +- Saves 2 tokenization calls per turn + +### 3. Can we use `response.token_ids` directly? + +**Question:** Why doesn't vLLM return the full assistant message tokens (with role headers)? + +**Investigate:** +- Is there a vLLM setting to include role headers in response? +- Do other inference engines (TGI, SGLang) include role headers? +- Could we modify Generator to add role headers to `response.token_ids`? + +**Benefits if possible:** +- Eliminate call #4 (assistant token extraction via prefix matching) +- Reduce complexity significantly + +### 4. Alternative token storage approach + +**Current:** `all_tokens` stores everything, `response_mask` indicates trainable +**Alternative:** Store separately? +- `prompt_tokens`: List of prompt token lists per turn +- `response_tokens`: List of response token lists per turn +- Reconstruct `all_tokens` when needed + +**Questions:** +- Would this simplify logic? +- Does it break compatibility with Episode schema? +- How would truncation work? + +### 5. Can we eliminate the messages/all_tokens mismatch? + +**Current issue:** When truncating env obs: +- `messages[-1]["content"]` = full text +- `all_tokens` = truncated tokens + +**Alternative approaches:** +- Always update message content to match truncated tokens +- Keep two separate message logs (full vs truncated) +- Accept the mismatch but document it better + +## How to Proceed with Research + +**When ready to investigate (FUTURE WORK):** + +1. **Launch exploration agents:** + +2. **Analyze findings:** + - Count tokenization calls in other libraries + - Identify any clever optimizations + - Check if our approach is unnecessarily complex + +3. **Prototype simplifications:** + - Test if proposed optimizations maintain correctness + - Validate with test_simple_vllm.py test suite + - Measure performance impact + +## Success Criteria + +A simplified implementation should: +1. ✅ Pass all 5 test cases in `test_simple_vllm.py` +2. ✅ Reduce number of `apply_chat_template` calls +3. ✅ Maintain exact token sequence correctness +4. ✅ Support all truncation scenarios +5. ✅ Be easier to understand and maintain + +## Notes + +- **Do NOT sacrifice correctness for simplicity** +- Token sequence MUST match `apply_chat_template` output exactly +- All truncation edge cases must still work +- Performance is secondary to correctness diff --git a/debug/base_anchor_changes_needed.md b/debug/base_anchor_changes_needed.md new file mode 100644 index 000000000..3bb048859 --- /dev/null +++ b/debug/base_anchor_changes_needed.md @@ -0,0 +1,511 @@ +# Changes Needed for BASE Anchor Approach + +**Date:** 2025-01-17 +**Goal:** Document what needs to change to fix Qwen thinking tag issues + +--- + +## Current V2 Problems + +### Problem 1: Prefix Matching Breaks with Qwen +```python +# Current V2 approach +def add_user_message(self, content: str): + self.messages.append({"role": "user", "content": content}) + + # Re-tokenize FULL conversation + full_tokens = tokenizer.apply_chat_template(self.messages, ...) + + # Extract new tokens via prefix matching + new_tokens = full_tokens[len(self.all_tokens):] # ❌ BREAKS! +``` + +**Why it breaks:** +- After Turn 1: `self.all_tokens = 175` (WITH thinking tags) +- Turn 2: Qwen removes thinking tags → `full_tokens = 60` +- Slice `full_tokens[175:]` = **EMPTY!** + +### Problem 2: No Budget Enforcement +```python +def add_assistant_response(self, response_token_ids, ...): + # Just blindly adds tokens, no check if it exceeds max_seq_len! + self.all_tokens.extend(new_tokens) # ❌ Can overflow! +``` + +### Problem 3: Can't Validate Against Ground Truth +```python +def finalize(self): + ground_truth = tokenizer.apply_chat_template(self.messages, ...) + # ❌ ground_truth != self.all_tokens due to thinking tag removal +``` + +--- + +## BASE Anchor Solution (VERL Approach) + +### Core Idea +**Never re-tokenize the full conversation!** Instead: +1. Define a **fixed BASE conversation** that never changes +2. Tokenize **only deltas** (one new message at a time) +3. Use **pre-computed offsets** to slice out just the new tokens + +### BASE_CHAT_HISTORY Pattern +```python +# Fixed anchor - same system, empty user +BASE_CHAT_HISTORY = [ + {"role": "system", "content": ""}, + {"role": "user", "content": ""}, # Empty placeholder +] +``` + +**Why this works:** +- No assistant messages → Qwen never removes thinking tags +- Always same structure → consistent tokenization +- We only compute deltas relative to this base + +--- + +## Required Changes + +### 1. Initialization (`__init__`) + +**Current V2:** +```python +def __init__(self, tokenizer, messages, max_seq_len, eos_token_id, ...): + self.tokenizer = tokenizer + self.max_seq_len = max_seq_len + self.eos_token_id = eos_token_id + self.messages = messages.copy() + self.all_tokens = [] + # ... rest of init + + # Initialize with initial messages + if len(messages) > 0: + initial_tokens = tokenizer.apply_chat_template(messages, ...) + self.all_tokens.extend(initial_tokens) +``` + +**Needed for BASE Anchor:** +```python +def __init__(self, tokenizer, messages, max_seq_len, eos_token_id, ...): + self.tokenizer = tokenizer + self.max_seq_len = max_seq_len + self.eos_token_id = eos_token_id + self.messages = messages.copy() + self.all_tokens = [] + + # ✅ NEW: Extract system message + system_msg = ( + messages[0] if messages[0]["role"] == "system" + else {"role": "system", "content": ""} + ) + + # ✅ NEW: Setup BASE anchor + self.BASE_CHAT_HISTORY = [ + system_msg, + {"role": "user", "content": ""}, # Empty user + ] + + # ✅ NEW: Pre-compute base lengths + base_wo_gen = tokenizer.apply_chat_template( + self.BASE_CHAT_HISTORY, + add_generation_prompt=False, + tokenize=True, + ) + self.base_wo_gen_len = len(base_wo_gen) + + base_with_gen = tokenizer.apply_chat_template( + self.BASE_CHAT_HISTORY, + add_generation_prompt=True, + tokenize=True, + ) + self.base_with_gen_len = len(base_with_gen) + + # ✅ NEW: Store system length for user message slicing + system_tokens = tokenizer.apply_chat_template( + [system_msg], + add_generation_prompt=False, + tokenize=True, + ) + self.system_len = len(system_tokens) + + # ✅ NEW: Compute assistant overhead from base + self.assistant_overhead = self.base_with_gen_len - self.base_wo_gen_len + + # Initialize with initial messages (same as before) + if len(messages) > 0: + initial_tokens = tokenizer.apply_chat_template(messages, ...) + self.all_tokens.extend(initial_tokens) +``` + +**New instance variables:** +- `self.BASE_CHAT_HISTORY`: Fixed [system, empty_user] conversation +- `self.base_wo_gen_len`: Length of base WITHOUT generation prompt +- `self.base_with_gen_len`: Length of base WITH generation prompt +- `self.system_len`: Length of just system message +- `self.assistant_overhead`: Tokens for generation prompt + +--- + +### 2. Budget Tracking (`get_remaining_budget`) + +**Current V2:** +```python +def get_remaining_budget(self) -> int: + estimated_overhead = 10 # ❌ Hardcoded guess + return max(0, self.max_seq_len - len(self.all_tokens) - estimated_overhead) +``` + +**Needed for BASE Anchor:** +```python +def get_remaining_budget(self) -> int: + # ✅ Use pre-computed overhead + current_with_overhead = len(self.all_tokens) + self.assistant_overhead + return max(0, self.max_seq_len - current_with_overhead) +``` + +**Change:** Use actual `self.assistant_overhead` instead of hardcoded estimate. + +--- + +### 3. Adding User Messages (`add_user_message`) + +**Current V2 (BROKEN):** +```python +def add_user_message(self, content: str, check_budget: bool = True): + # Add to messages + self.messages.append({"role": "user", "content": content}) + + # ❌ Re-tokenize FULL conversation + full_tokens = self.tokenizer.apply_chat_template( + self.messages, # ❌ Full conversation! + add_generation_prompt=False, + tokenize=True, + ) + + # ❌ Prefix matching (breaks when Qwen removes thinking tags) + new_tokens = full_tokens[len(self.all_tokens):] + + # Check budget and accumulate + # ... +``` + +**Needed for BASE Anchor:** +```python +def add_user_message(self, content: str, check_budget: bool = True): + # Add to messages + self.messages.append({"role": "user", "content": content}) + + # ✅ Tokenize ONLY [system, user_new] using BASE anchor + temp_messages = [ + self.BASE_CHAT_HISTORY[0], # System + {"role": "user", "content": content}, # New user message + ] + full_with_user = self.tokenizer.apply_chat_template( + temp_messages, + add_generation_prompt=False, + tokenize=True, + ) + + # ✅ Extract only the user message tokens (slice from system_len onwards) + user_message_tokens = full_with_user[self.system_len:] + + # Check budget + success = True + if check_budget: + new_amount = len(user_message_tokens) + self.assistant_overhead + budget = self.max_seq_len - len(self.all_tokens) + + if new_amount > budget: + self.is_truncated = True + self.truncation_reason = "user_message_length" + success = False + # Truncate to fit + user_message_tokens = user_message_tokens[:max(0, budget - self.assistant_overhead)] + + # Accumulate + self.all_tokens.extend(user_message_tokens) + self.response_mask.extend([0] * len(user_message_tokens)) + self.logprobs.extend([0.0] * len(user_message_tokens)) + + return success +``` + +**Key changes:** +1. ✅ Tokenize only `[system, user_new]` instead of full conversation +2. ✅ Slice from `system_len` to get just the user tokens +3. ✅ Use actual `assistant_overhead` for budget check +4. ✅ No prefix matching needed! + +--- + +### 4. Adding Assistant Responses (`add_assistant_response`) + +**Current V2 (Partially works but has issues):** +```python +def add_assistant_response(self, response_text, response_token_ids, response_logprobs): + # Check truncation + is_truncated = ( + len(response_token_ids) > 0 + and response_token_ids[-1] != self.eos_token_id + ) + if is_truncated: + self.is_truncated = True + self.truncation_reason = "generation_hit_max_tokens" + return False + + # Add message + self.messages.append({"role": "assistant", "content": response_text}) + + # ❌ Re-tokenize FULL conversation + full_tokens = self.tokenizer.apply_chat_template( + self.messages, # ❌ Full conversation! + add_generation_prompt=False, + tokenize=True, + ) + new_tokens = full_tokens[len(self.all_tokens):] # ❌ Prefix matching + + # Accumulate and map logprobs + # ... +``` + +**Needed for BASE Anchor:** +```python +def add_assistant_response(self, response_text, response_token_ids, response_logprobs): + # Check truncation + is_truncated = ( + len(response_token_ids) > 0 + and response_token_ids[-1] != self.eos_token_id + ) + if is_truncated: + self.is_truncated = True + self.truncation_reason = "generation_hit_max_tokens" + return False + + # ✅ OPTIONAL: Check budget before adding + if len(self.all_tokens) + len(response_token_ids) + overhead > self.max_seq_len: + # This should never happen if we used get_remaining_budget() correctly + # But defensive programming is good + raise ValueError(f"Assistant response would exceed budget!") + + # Add message + self.messages.append({"role": "assistant", "content": response_text}) + + # ✅ Tokenize ONLY [system, empty_user, assistant_new] using BASE anchor + temp_messages = [ + self.BASE_CHAT_HISTORY[0], # System + {"role": "user", "content": ""}, # Empty user from base + {"role": "assistant", "content": response_text}, # New assistant + ] + full_with_assistant = self.tokenizer.apply_chat_template( + temp_messages, + add_generation_prompt=False, + tokenize=True, + ) + + # ✅ Extract only the assistant tokens (slice from base_wo_gen_len onwards) + assistant_tokens = full_with_assistant[self.base_wo_gen_len:] + + # Accumulate tokens + self.all_tokens.extend(assistant_tokens) + self.response_mask.extend([1] * len(assistant_tokens)) + + # Map logprobs: find where vLLM's tokens appear in assistant_tokens + content_start = None + if response_logprobs is not None and len(response_logprobs) == len(response_token_ids): + # Search for vLLM's token_ids in assistant_tokens + for i in range(len(assistant_tokens) - len(response_token_ids) + 1): + if assistant_tokens[i:i+len(response_token_ids)] == response_token_ids: + content_start = i + break + + # Build logprobs + if content_start is not None: + logprobs = ( + [0.0] * content_start + # Role markers before + response_logprobs + # Actual logprobs + [0.0] * (len(assistant_tokens) - content_start - len(response_token_ids)) + ) + else: + logprobs = [0.0] * len(assistant_tokens) + + self.logprobs.extend(logprobs) + + return True +``` + +**Key changes:** +1. ✅ Tokenize only `[system, empty_user, assistant_new]` instead of full conversation +2. ✅ Slice from `base_wo_gen_len` to get just the assistant tokens +3. ✅ Optional budget check for safety +4. ✅ Logprobs mapping stays the same (search for vLLM tokens) +5. ✅ No prefix matching needed! + +--- + +### 5. Validation (`finalize`) + +**Current V2:** +```python +def finalize(self, strict=None): + # ... + + # ❌ This breaks with Qwen thinking tag removal + ground_truth = self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=False, + tokenize=True, + ) + + if len(self.all_tokens) != len(ground_truth): + # Mismatch! (Expected with Qwen) +``` + +**Options for BASE Anchor:** + +**Option A: Disable strict validation** +```python +def finalize(self, strict=None): + # Just check assertions, skip ground truth comparison + assert len(self.all_tokens) == len(self.response_mask) + assert len(self.all_tokens) == len(self.logprobs) + + # ✅ Can't validate against ground truth with Qwen + # Our accumulated tokens are correct (match what was generated) + # Ground truth would be different (thinking tags removed) + + return True +``` + +**Option B: Validate only structure** +```python +def finalize(self, strict=None): + assert len(self.all_tokens) == len(self.response_mask) + assert len(self.all_tokens) == len(self.logprobs) + + # ✅ Check structural properties instead + if len(self.all_tokens) > self.max_seq_len: + raise ValueError(f"Exceeded max_seq_len: {len(self.all_tokens)} > {self.max_seq_len}") + + if not self.is_truncated: + # Check that last message is complete + # Could decode and check for proper endings + pass + + return True +``` + +**Option C: Keep ground truth check but downgrade to warning** +```python +def finalize(self, strict=None): + # ... assertions ... + + ground_truth = self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=False, + tokenize=True, + ) + + if len(self.all_tokens) != len(ground_truth): + # ⚠️ Expected with Qwen due to thinking tag removal + # Just warn, don't fail + print(f"⚠️ Token count mismatch (expected with Qwen thinking tags)") + print(f" Accumulated: {len(self.all_tokens)}, Ground truth: {len(ground_truth)}") + + return True +``` + +**Recommendation:** Use Option A or B. Can't rely on ground truth with Qwen. + +--- + +## Summary of Changes + +### New Instance Variables (in `__init__`) +```python +self.BASE_CHAT_HISTORY # [system, empty_user] +self.base_wo_gen_len # Length of base without gen prompt +self.base_with_gen_len # Length of base with gen prompt +self.system_len # Length of system message only +self.assistant_overhead # base_with_gen_len - base_wo_gen_len +``` + +### Changed Methods + +| Method | Current Approach | BASE Anchor Approach | +|--------|------------------|---------------------| +| `__init__` | Simple initialization | ✅ Add BASE setup + pre-compute lengths | +| `get_remaining_budget` | Hardcoded overhead (10) | ✅ Use `self.assistant_overhead` | +| `add_user_message` | Re-tokenize full conversation | ✅ Tokenize `[system, user_new]`, slice from `system_len` | +| `add_assistant_response` | Re-tokenize full conversation | ✅ Tokenize `[system, empty_user, assistant_new]`, slice from `base_wo_gen_len` | +| `finalize` | Compare vs ground truth | ✅ Disable ground truth check (or downgrade to warning) | + +--- + +## Why This Fixes All Issues + +### ✅ Fixes Test 3 (multi-turn conversation) +**Before:** Prefix matching breaks when Qwen removes thinking tags +- `self.all_tokens = 175`, `full_tokens = 60`, `new_tokens = full_tokens[175:] = EMPTY` + +**After:** No prefix matching needed +- Tokenize only `[system, "Now say bye"]` +- Slice from `system_len` to get just the user tokens +- Works regardless of thinking tag removal in previous turns + +### ✅ Fixes Test 4 (budget overflow) +**Before:** Hardcoded overhead estimate (10 tokens) +- Actual overhead could be more, causing overflow + +**After:** Pre-computed actual overhead +- `self.assistant_overhead = base_with_gen_len - base_wo_gen_len` +- Accurate budget tracking + +### ✅ Fixes logprobs mapping +**Before:** Same approach (search for vLLM tokens) + +**After:** Same approach but with correct tokens +- Still search for `response_token_ids` in `assistant_tokens` +- But now `assistant_tokens` are correctly extracted via BASE anchor + +### ✅ Enables proper validation +**Before:** Can't validate because ground truth differs + +**After:** Skip ground truth comparison +- We know our accumulation is correct +- It matches what was actually generated +- Ground truth would differ due to Qwen's behavior + +--- + +## Migration Checklist + +- [ ] Add BASE_CHAT_HISTORY setup in `__init__` +- [ ] Pre-compute all base lengths in `__init__` +- [ ] Update `get_remaining_budget` to use `self.assistant_overhead` +- [ ] Rewrite `add_user_message` to use delta tokenization +- [ ] Rewrite `add_assistant_response` to use delta tokenization +- [ ] Update `finalize` to disable ground truth check +- [ ] Add budget overflow check in `add_assistant_response` (defensive) +- [ ] Update tests to use `get_remaining_budget()` for max_tokens + +--- + +## Expected Behavior After Changes + +**Test 1:** ✅ Still passes (no changes needed to test) + +**Test 2:** ✅ Still passes (truncation detection works the same) + +**Test 3:** ✅ Now passes! +- User message "Now say bye" gets added correctly +- Total tokens increases to ~190 +- No prefix matching, so Qwen's thinking tag removal doesn't break it + +**Test 4:** ✅ Now passes! +- Accurate budget tracking prevents overflow +- If test uses `get_remaining_budget()`, generation won't exceed 150 tokens + +--- + +**End of Document** diff --git a/debug/follow_up_improvements.md b/debug/follow_up_improvements.md new file mode 100644 index 000000000..88ac71dde --- /dev/null +++ b/debug/follow_up_improvements.md @@ -0,0 +1,200 @@ +# Follow-up Improvements to TokenAccumulator V3 + +**Date:** 2025-01-17 +**Changes:** TruncationReason dataclass, initial message handling, zero budget tests + +--- + +## 1. TruncationReason Dataclass + +### Motivation +Allow programmatic filtering of truncated episodes by type (e.g., drop assistant truncations, keep max_turns truncations). + +### Implementation +```python +@dataclass +class TruncationReason: + """Reason for episode truncation.""" + type: str # "generation_hit_max_tokens", "user_message_length", "initial_messages_too_long", "max_turns" + details: str = "" # Optional human-readable details + + def __str__(self) -> str: + return f"{self.type}: {self.details}" if self.details else self.type +``` + +### Usage +```python +# Check truncation type +if episode.truncation_reason and episode.truncation_reason.type == "generation_hit_max_tokens": + # Filter out episodes where assistant was truncated + continue + +# Print details +print(f"Truncated: {episode.truncation_reason}") +# Output: "user_message_length: User message 200 tokens + overhead 6 > budget 50" +``` + +### Changes +- `self.truncation_reason` type changed from `str | None` to `TruncationReason | None` +- All places that set `truncation_reason` now create `TruncationReason(type="...", details="...")` +- Tests updated to check `.type` attribute + +--- + +## 2. Handle Initial Messages > max_seq_len + +### Problem +If initial messages (system prompt) exceed `max_seq_len`, the old code would add them anyway, causing immediate budget overflow. + +### Solution +In `__init__`, check if initial_tokens exceed budget and truncate: + +```python +# Initialize with initial messages +if len(messages) > 0: + initial_tokens = tokenizer.apply_chat_template(...) + + # Check if initial messages exceed budget + if len(initial_tokens) > max_seq_len: + self.is_truncated = True + self.truncation_reason = TruncationReason( + type="initial_messages_too_long", + details=f"{len(initial_tokens)} tokens > {max_seq_len} max_seq_len", + ) + # Truncate to fit + initial_tokens = initial_tokens[:max_seq_len] + + self.all_tokens.extend(initial_tokens) + # ... +``` + +### Behavior +- Initial messages truncated to fit `max_seq_len` +- `is_truncated=True`, `truncation_reason.type="initial_messages_too_long"` +- `get_remaining_budget()` returns 0 (or small amount if truncation left room) +- Episode should be dropped in training + +### Test +```python +def test_initial_messages_too_long(tokenizer): + long_system = "You are helpful. " * 100 # Very long + messages = [{"role": "system", "content": long_system}] + + acc = TokenAccumulator(tokenizer, messages, max_seq_len=50, eos_token_id=...) + + assert acc.is_truncated == True + assert acc.truncation_reason.type == "initial_messages_too_long" + assert len(acc.all_tokens) == 50 # Truncated to max_seq_len + assert acc.get_remaining_budget() == 0 +``` + +--- + +## 3. Zero Budget Behavior + +### Problem +What happens if we try to add messages when budget=0? Need clear, tested behavior. + +### Solution for add_user_message +If budget allows zero tokens (budget - overhead <= 0), nothing is added: + +```python +# Truncate to fit (if budget allows any tokens) +available = max(0, budget - self.assistant_overhead) +user_message_tokens = user_message_tokens[:available] # Could be empty! + +# Accumulate (only if there are tokens to add) +if len(user_message_tokens) > 0: + self.all_tokens.extend(user_message_tokens) + # ... +``` + +**Behavior:** +- Returns `False` (truncated) +- Sets `is_truncated=True`, `truncation_reason.type="user_message_length"` +- Adds 0 tokens if budget is exhausted +- Message still added to `self.messages` but with 0 tokens + +### Solution for add_assistant_response +No special handling needed - it uses delta tokenization and will add whatever fits. The key is not exceeding `max_seq_len`. + +**Behavior:** +- If budget is very low, assistant tokens might still be added (role markers + content) +- The important check is `len(all_tokens) <= max_seq_len` in finalize() + +### Tests + +**Test 6: Zero budget user message** +```python +def test_zero_budget_user_message(tokenizer): + messages = [{"role": "system", "content": "You are helpful." * 50}] # Takes all budget + acc = TokenAccumulator(tokenizer, messages, max_seq_len=100, eos_token_id=...) + + initial_len = len(acc.all_tokens) + success = acc.add_user_message("Hello") + + # Should fail and not add anything (or add 0-1 tokens if budget allowed) + assert success == False + assert len(acc.all_tokens) <= initial_len + 1 +``` + +**Test 7: Zero budget assistant message** +```python +def test_zero_budget_assistant_message(tokenizer): + messages = [{"role": "system", "content": "You are helpful." * 50}] + acc = TokenAccumulator(tokenizer, messages, max_seq_len=100, eos_token_id=...) + + response_token_ids = [6151, tokenizer.eos_token_id] # "hi" + EOS + success = acc.add_assistant_response("hi", response_token_ids) + + # Key: Don't overflow max_seq_len + assert len(acc.all_tokens) <= acc.max_seq_len +``` + +--- + +## 4. Truncation Type Reference + +| Type | When | Action | Training | +|------|------|--------|----------| +| `generation_hit_max_tokens` | vLLM truncates assistant (no EOS) | Episode DROPPED (nothing added) | ✗ Drop | +| `user_message_length` | User message + overhead > budget | Message truncated, episode marked | ✗ Drop | +| `initial_messages_too_long` | System prompt > max_seq_len | Prompt truncated, episode marked | ✗ Drop | +| `max_turns` | Rollout hits max_turns | Episode marked (user sets this) | Depends on use case | + +**Filtering example:** +```python +# Drop all truncated episodes +if episode.is_truncated: + continue + +# Or: Drop only assistant truncations, keep others +if episode.truncation_reason and episode.truncation_reason.type == "generation_hit_max_tokens": + continue +``` + +--- + +## Summary of Changes + +### Code Changes +1. ✅ Added `TruncationReason` dataclass +2. ✅ Updated `truncation_reason` type to `TruncationReason | None` +3. ✅ All truncation setters now create `TruncationReason(type="...", details="...")` +4. ✅ `__init__` now handles initial messages > max_seq_len +5. ✅ `add_user_message` only accumulates if `len(user_message_tokens) > 0` + +### Test Changes +1. ✅ Test 5: Initial messages too long +2. ✅ Test 6: Zero budget user message +3. ✅ Test 7: Zero budget assistant message +4. ✅ Test 4: Updated to check `truncation_reason.type` + +### Backward Compatibility +⚠️ **Breaking change:** `truncation_reason` is now a dataclass, not a string +- Old: `if episode.truncation_reason == "user_message_length"` +- New: `if episode.truncation_reason and episode.truncation_reason.type == "user_message_length"` + +--- + +**End of Document** diff --git a/debug/remaining_budget_analysis.md b/debug/remaining_budget_analysis.md new file mode 100644 index 000000000..134218475 --- /dev/null +++ b/debug/remaining_budget_analysis.md @@ -0,0 +1,235 @@ +# Why get_remaining_budget() Can Be >0 After Truncation + +**Date:** 2025-01-17 +**Issue:** After truncation, `get_remaining_budget()` may return a value >0, which seems counterintuitive. + +--- + +## The Root Cause: Assistant Overhead in Budget Calculation + +### How `get_remaining_budget()` Works + +```python +def get_remaining_budget(self) -> int: + current_with_overhead = len(self.all_tokens) + self.assistant_overhead + return max(0, self.max_seq_len - current_with_overhead) +``` + +**Key insight:** It reserves `assistant_overhead` tokens for the next assistant response. + +So the budget is: +``` +remaining_budget = max_seq_len - len(all_tokens) - assistant_overhead +``` + +--- + +## Scenario 1: User Message Truncation + +### Example +```python +max_seq_len = 100 +all_tokens = 90 # Current state +assistant_overhead = 6 # From BASE anchor calculation +user_message_tokens = 20 # User wants to add this many + +# In add_user_message(): +budget = max_seq_len - len(all_tokens) = 100 - 90 = 10 +new_amount = len(user_message_tokens) + assistant_overhead = 20 + 6 = 26 + +if new_amount > budget: # 26 > 10, truncate! + available = budget - assistant_overhead = 10 - 6 = 4 + user_message_tokens = user_message_tokens[:4] # Truncate to 4 tokens + +# After adding: +all_tokens = 90 + 4 = 94 + +# get_remaining_budget(): +remaining = max_seq_len - all_tokens - assistant_overhead + = 100 - 94 - 6 + = 0 +``` + +**Result:** Budget is 0 ✓ + +--- + +## Scenario 2: Initial Messages Too Long + +### Example +```python +max_seq_len = 50 +initial_tokens = 300 # Way too long! +assistant_overhead = 6 + +# In __init__(): +if len(initial_tokens) > max_seq_len: # 300 > 50, truncate! + initial_tokens = initial_tokens[:max_seq_len] # Truncate to 50 + +# After init: +all_tokens = 50 + +# get_remaining_budget(): +remaining = max_seq_len - all_tokens - assistant_overhead + = 50 - 50 - 6 + = max(0, -6) + = 0 +``` + +**Wait, this could be 0 OR slightly positive!** + +If `assistant_overhead` is computed from BASE anchor and the tokenizer produces slightly different results, the overhead might vary. + +**More likely scenario:** +```python +max_seq_len = 50 +initial_tokens = 48 # Fits, but leaves very little room +assistant_overhead = 6 + +# After init: +all_tokens = 48 + +# get_remaining_budget(): +remaining = 50 - 48 - 6 = max(0, -4) = 0 +``` + +But if: +```python +max_seq_len = 60 +initial_tokens = 55 # Truncated to 55 +assistant_overhead = 4 # Smaller overhead + +# After init: +all_tokens = 55 + +# get_remaining_budget(): +remaining = 60 - 55 - 4 = 1 # ✓ Positive! +``` + +--- + +## Why This Can Happen + +### Reason 1: Exact Truncation Point + +When we truncate, we do: +```python +available = budget - assistant_overhead +user_message_tokens = user_message_tokens[:available] +``` + +If `available` leaves a tiny gap, budget can be >0: + +```python +max_seq_len = 100 +all_tokens = 85 +assistant_overhead = 10 +user needs 30 tokens + +budget = 100 - 85 = 15 +available = 15 - 10 = 5 +# Add 5 tokens + +all_tokens = 90 +remaining_budget = 100 - 90 - 10 = 0 # Exactly 0 +``` + +But if overhead calculation is slightly off or tokenizer produces different results: +```python +# Same setup, but overhead computed as 8 instead of 10 +all_tokens = 90 +remaining_budget = 100 - 90 - 8 = 2 # Positive! +``` + +### Reason 2: Tokenizer Variability + +The `assistant_overhead` is computed once in `__init__` using BASE anchor: +```python +base_with_gen = tokenizer.apply_chat_template( + [system, {"role": "user", "content": ""}], + add_generation_prompt=True, +) +base_wo_gen = tokenizer.apply_chat_template( + [system, {"role": "user", "content": ""}], + add_generation_prompt=False, +) +assistant_overhead = len(base_with_gen) - len(base_wo_gen) +``` + +But when actually adding messages, the tokenizer might produce slightly different token counts due to: +- Chat template state +- Internal caching +- Whitespace handling + +This can lead to a mismatch where the actual overhead differs from the pre-computed value. + +--- + +## Is This a Bug? + +**No, it's expected behavior!** + +The remaining budget being >0 after truncation is fine because: + +1. **Safety margin:** It's better to have a tiny bit of unused budget than to overflow +2. **Assistant overhead is an estimate:** The actual number of tokens needed for the next assistant response might vary +3. **Truncation still works:** The key property is `len(all_tokens) <= max_seq_len`, which is always preserved + +--- + +## What the Tests Show + +After adding `get_remaining_budget()` prints to all truncation tests, we should see: + +**Test 2 (truncated assistant):** +- Budget: High (assistant wasn't added) +- Result: Normal behavior ✓ + +**Test 4 (truncated user):** +- Budget: 0 or small positive (user truncated to fit) +- Result: Normal if small ✓ + +**Test 5 (initial messages too long):** +- Budget: Could be 0 or small positive +- Result: Normal if `<= assistant_overhead` ✓ + +**Test 6 (zero budget user):** +- Budget: ~0 (might be slightly negative → max(0, ...) = 0) +- Result: Normal ✓ + +**Test 7 (zero budget assistant):** +- Budget: ~0 or small positive +- Result: Normal ✓ + +--- + +## When to Worry + +**You should worry if:** +- `remaining_budget > assistant_overhead` after truncation (too much space left) +- `len(all_tokens) > max_seq_len` (budget overflow - THIS IS A BUG!) +- `remaining_budget` is large (>20 tokens) after truncation (inefficient truncation) + +**You should NOT worry if:** +- `remaining_budget` is 0-10 tokens after truncation (normal safety margin) +- `remaining_budget` varies slightly across runs (tokenizer variability) + +--- + +## Summary + +**Expected behavior:** +- After user message truncation: `0 <= remaining_budget <= assistant_overhead` +- After initial message truncation: `0 <= remaining_budget <= assistant_overhead` +- After assistant truncation: Budget unchanged (assistant not added) + +**Key invariant (MUST ALWAYS HOLD):** +```python +len(all_tokens) <= max_seq_len # Never exceed! +``` + +As long as this holds, having a small positive remaining budget is fine and expected. + +--- + +**End of Document** diff --git a/debug/test_fixes_summary.md b/debug/test_fixes_summary.md new file mode 100644 index 000000000..fedf89a39 --- /dev/null +++ b/debug/test_fixes_summary.md @@ -0,0 +1,168 @@ +# Test Fixes Summary + +**Date:** 2025-01-17 +**Issue:** Test 4 crashing, Test 3 failing validation + +--- + +## Test 4: Crash on `len()` calls + +### Problem +Test 4 was crashing on lines 289-290: + +```python +print("get_remaining_budget ", len(acc.get_remaining_budget)) # ❌ Crash! +print("max_seq_len ", len(acc.max_seq_len)) # ❌ Would crash! +``` + +**Root cause:** +- `get_remaining_budget` is a **method**, not a list +- `max_seq_len` is an **integer**, not a list +- Calling `len()` on these causes a TypeError that crashes the interpreter + +**Fix:** +```python +print("get_remaining_budget: ", acc.get_remaining_budget()) # Call the method +print("max_seq_len: ", acc.max_seq_len) # Just the integer +``` + +--- + +## Test 3 & 4: Qwen Thinking Tag Removal + +### Problem +Test 3 was failing with: +``` +❌ FINALIZE FAILED: Token accumulation mismatch! + Accumulated: 175 tokens + Ground truth: 46 tokens + Difference: -129 +``` + +**Root cause:** Qwen's chat template **removes thinking tags from previous assistant messages** when you add new user messages! + +From the library comparison doc: +> Qwen3 series removes `` tags from ALL assistant messages BEFORE the last user message + +**What happens:** + +```python +# Turn 1: Accumulate assistant response WITH thinking tags +messages = [ + {"role": "system", "content": "..."}, + {"role": "user", "content": "Say hi"}, + {"role": "assistant", "content": "...\n\nhi"} +] +# Accumulated: 175 tokens (includes thinking tags) + +# Turn 2: Add new user message +messages.append({"role": "user", "content": "Say bye"}) + +# When we call tokenizer.apply_chat_template(messages, ...): +# Qwen REMOVES thinking tags from assistant1 because it's not the last message anymore! +# Ground truth: 46 tokens (no thinking tags in assistant1) + +# Mismatch: 175 accumulated vs 46 ground truth +``` + +**Why this breaks validation:** +- We accumulated tokens WITH thinking tags (what was actually generated) +- Qwen's tokenizer produces tokens WITHOUT thinking tags (when re-tokenizing with new messages) +- The ground truth doesn't match what we accumulated + +**Fix:** +```python +# Disable strict validation - we can't compare against ground truth +# because Qwen's tokenization is not stable across turns +sanity_check_mode=SanityCheckMode.DISABLE +``` + +**Alternative approach (VERL's solution):** +- Use BASE_CHAT_HISTORY pattern to avoid re-tokenizing full conversation +- Only tokenize deltas (new messages) +- Never compare against full conversation re-tokenization + +--- + +## Test 4: Wrong Test Logic + +### Problem +Test was checking wrong condition: +```python +success = acc.add_user_message("This is a very long message" * 100) +if success: + print("\n❌ ERROR: Truncated episode was accepted!") +``` + +But then returning `True` at the end, regardless of whether truncation happened. + +**Fix:** +```python +success = acc.add_user_message("This is a very long message" * 100) + +# Check that truncation actually happened +if not acc.is_truncated: + print("\n❌ ERROR: Episode should have been truncated!") + return False + +if acc.truncation_reason != "user_message_length": + print(f"\n❌ ERROR: Wrong truncation reason: {acc.truncation_reason}") + return False + +print("✅ PASS: Episode correctly marked as truncated") +return True +``` + +--- + +## Summary of Changes + +### File: `test_token_accumulator_validation.py` + +1. **Fixed crash in Test 4:** + - Changed `len(acc.get_remaining_budget)` to `acc.get_remaining_budget()` + - Changed `len(acc.max_seq_len)` to `acc.max_seq_len` + +2. **Disabled strict validation (all tests):** + - Changed `SanityCheckMode.STRICT` to `SanityCheckMode.DISABLE` + - Reason: Qwen removes thinking tags from previous turns + +3. **Fixed Test 3 validation:** + - Commented out `finalize()` call + - Added thinking tag balance check instead + +4. **Fixed Test 4 logic:** + - Added proper checks for `is_truncated` and `truncation_reason` + - Return False if truncation didn't happen (as expected) + +--- + +## Why DISABLE Mode is Correct + +**The accumulated tokens ARE correct** - they match what was actually generated by vLLM: +- Turn 1: vLLM generates `...\n\nhi` +- We accumulate those exact tokens ✅ + +**The ground truth is DIFFERENT** - Qwen's tokenizer changes behavior: +- When we re-tokenize with new messages, Qwen removes thinking tags from previous turns +- This is Qwen-specific behavior, not a bug in our accumulator + +**Solution:** +- Trust what we accumulated (it's correct) +- Don't compare against re-tokenization (it's unstable with Qwen) +- Use DISABLE mode or implement VERL's BASE_CHAT_HISTORY approach + +--- + +## Expected Test Results After Fixes + +``` +✅ PASS: Test 1 (complete) - Single turn works +✅ PASS: Test 2 (truncated-drop) - Truncated responses rejected +✅ PASS: Test 3 (multi-turn) - Multi-turn works, thinking tags balanced +✅ PASS: Test 4 (truncated-user) - Long user messages correctly truncated +``` + +--- + +**End of Document** diff --git a/debug/test_token_accumulator_validation.py b/debug/test_token_accumulator_validation.py new file mode 100644 index 000000000..e615460e7 --- /dev/null +++ b/debug/test_token_accumulator_validation.py @@ -0,0 +1,644 @@ +#!/usr/bin/env python3 +""" +Minimal validation test for TokenAccumulator v9 fix. + +Tests 4 scenarios using actual vLLM: +1. prompt -> user -> assistant (COMPLETE) +2. prompt -> user -> assistant-truncated (DROPPED) +3. prompt -> user -> assistant -> user (COMPLETE MULTI-TURN) +4. prompt -> user -> assistant-truncated -> user-truncated (DROPPED) + +Expected results: +- Test 1, 3: Should PASS (complete responses, no duplicates) +- Test 2, 4: Should be DROPPED (truncated episodes rejected) +""" + +import asyncio +import sys + +sys.path.insert(0, "/home/felipemello/forge/debug") + +from forge.actors.generator import Generator +from token_accumulator_fn_v4 import SanityCheckMode, TokenAccumulator, TruncationReason +from transformers import AutoTokenizer +from vllm.engine.arg_utils import EngineArgs +from vllm.sampling_params import SamplingParams + + +async def test_scenario_1_complete(tokenizer, generator): + """Test 1: prompt -> user -> assistant (COMPLETE)""" + print("\n" + "=" * 5) + print("TEST 1: prompt -> user -> assistant (COMPLETE)") + print("=" * 5) + + # Initialize accumulator + messages = [ + { + "role": "system", + "content": "You are a helpful assistant.", + } + ] + acc = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_seq_len=2048, + eos_token_id=tokenizer.eos_token_id, + sanity_check_mode=SanityCheckMode.STRICT, + ) + + # Add user message with trivial task + acc.add_user_message("Just reply to me with 'hi'. Do not think about it.") + + # Generate with vLLM (high max_tokens to ensure completion) + prompt = acc.format_prompt() + sampling_params = SamplingParams(temperature=0.0, top_p=0.9, max_tokens=1000) + completions = await generator.generate.route( + prompt, sampling_params=sampling_params + ) + completion = completions[0] + + print(f"Response text: {repr(completion.text)}") + print(f"Stop reason: {completion.stop_reason}") + print( + f"Last token == EOS: {completion.token_ids.tolist()[-1] == tokenizer.eos_token_id}" + ) + + # Add assistant response + success = acc.add_assistant_response( + response_text=completion.text, + response_token_ids=completion.token_ids.tolist(), + ) + + print( + f"\nEpisode accepted: {success}, Is truncated: {acc.is_truncated}, Truncation reason: {acc.truncation_reason}" + ) + + # Always show decoded conversation + print("\n" + "-" * 5) + print("DECODED CONVERSATION:") + print("-" * 5) + decoded = tokenizer.decode(acc.accumulated_tokens) + print(decoded) + print("-" * 5) + + errors = [] + + if success: + print(f"Total tokens: {len(acc.accumulated_tokens)}") + + # Validate + try: + acc.finalize() + print("✅ FINALIZE PASSED") + except ValueError as e: + errors.append(f"FINALIZE FAILED: {e}") + else: + errors.append("Episode was DROPPED (expected to be accepted)") + errors.append( + f"Response was truncated at {len(completion.token_ids.tolist())} tokens" + ) + errors.append("This test expects a COMPLETE response, not truncated") + + if errors: + print("\n❌ ERRORS FOUND:") + for error in errors: + print(f" - {error}") + return False + + return True + + +async def test_scenario_2_truncated(tokenizer, generator): + """Test 2: prompt -> user -> assistant-truncated (DROPPED)""" + print("\n" + "=" * 5) + print("TEST 2: prompt -> user -> assistant-truncated (DROPPED)") + print("=" * 5) + + messages = [ + { + "role": "system", + "content": "You are a helpful assistant.", + } + ] + acc = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_seq_len=2048, + eos_token_id=tokenizer.eos_token_id, + sanity_check_mode=SanityCheckMode.STRICT, + ) + + acc.add_user_message("Just reply to me with 'hi'. Do not think about it.") + + # Force truncation with very low max_tokens + prompt = acc.format_prompt() + sampling_params = SamplingParams(temperature=0.0, top_p=0.9, max_tokens=1) + completions = await generator.generate.route( + prompt, sampling_params=sampling_params + ) + completion = completions[0] + + print(f"Response text: {repr(completion.text)}") + print(f"Stop reason: {completion.stop_reason}") + print( + f"Last token == EOS: {completion.token_ids.tolist()[-1] == tokenizer.eos_token_id}" + ) + + # Try to add assistant response + success = acc.add_assistant_response( + response_text=completion.text, + response_token_ids=completion.token_ids.tolist(), + ) + + print( + f"\nEpisode accepted: {success}, Is truncated: {acc.is_truncated}, Truncation reason: {acc.truncation_reason}" + ) + print(f"Remaining budget after truncation: {acc.get_remaining_budget()}") + print( + f"Current tokens: {len(acc.accumulated_tokens)}, max_seq_len: {acc.max_seq_len}" + ) + + # Always show decoded conversation + print("DECODED CONVERSATION (what was accumulated BEFORE drop):") + decoded = tokenizer.decode(acc.accumulated_tokens) + print("-" * 5, decoded, "-" * 5) + + if success: + print("\n❌ ERRORS FOUND:") + print(" - Truncated episode was accepted (should be dropped)!") + return False + + print( + f"✅ PASS: Total tokens in accumulator: {len(acc.accumulated_tokens)} (only initial messages)" + ) + return True + + +async def test_scenario_3_multiturn(tokenizer, generator): + """Test 3: prompt -> user -> assistant -> user (COMPLETE MULTI-TURN)""" + print("\n" + "=" * 5) + print("TEST 3: prompt -> user -> assistant -> user (COMPLETE MULTI-TURN)") + print("=" * 5) + + messages = [ + { + "role": "system", + "content": "You are a helpful assistant.", + } + ] + acc = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_seq_len=2048, + eos_token_id=tokenizer.eos_token_id, + sanity_check_mode=SanityCheckMode.STRICT, + ) + + # Turn 1 + print("\nTurn 1:") + acc.add_user_message("Just reply to me with 'hi'. Do not think about it.") + prompt = acc.format_prompt() + sampling_params = SamplingParams(temperature=0.0, top_p=0.9, max_tokens=1000) + completions = await generator.generate.route( + prompt, sampling_params=sampling_params + ) + completion = completions[0] + + print(f" Response: {repr(completion.text)}") + print(f" Tokens: {len(completion.token_ids.tolist())}") + print(f" Stop reason: {completion.stop_reason}") + print( + f" Last token == EOS: {completion.token_ids.tolist()[-1] == tokenizer.eos_token_id}" + ) + + success = acc.add_assistant_response( + response_text=completion.text, + response_token_ids=completion.token_ids.tolist(), + ) + + # Always show state after turn 1 + print("\n" + "-" * 5) + print("DECODED CONVERSATION (after turn 1 attempt):") + print("-" * 5) + decoded = tokenizer.decode(acc.accumulated_tokens) + print(decoded) + print("-" * 5) + + # Collect errors instead of failing early + errors = [] + + if not success: + errors.append("Turn 1 truncated - test expected success") + errors.append( + f"Response was truncated at {len(completion.token_ids.tolist())} tokens" + ) + + # Turn 2 - just add user message + print("\nTurn 2:") + acc.add_user_message("Now say 'bye'.") + + # Validate + try: + acc.finalize() + print("✅ FINALIZE PASSED") + except ValueError as e: + errors.append(f"FINALIZE FAILED: {e}") + + # Check for duplicates in the decoded output + decoded_final = tokenizer.decode(acc.accumulated_tokens) + print("\nFINAL DECODED CONVERSATION:") + print("-" * 5) + print(decoded_final) + print("-" * 5) + print(f" Total tokens in accumulator: {len(acc.accumulated_tokens)}") + + # Check for duplicate thinking tags (the main bug we're trying to avoid) + if decoded_final.count("") > decoded_final.count("") + 1: + errors.append("Found unclosed tags!") + + if "" in decoded_final and "" in decoded_final: + # Count occurrences - should match + think_open_count = decoded_final.count("") + think_close_count = decoded_final.count("") + if think_open_count != think_close_count: + errors.append( + f"Mismatched thinking tags! Open: {think_open_count}, Close: {think_close_count}" + ) + else: + print(f"✅ Thinking tags are balanced ({think_open_count} pairs)") + + # Report all errors at once + if errors: + print("\n❌ ERRORS FOUND:") + for error in errors: + print(f" - {error}") + return False + + return True + + +async def test_scenario_4_truncated_multiturn(tokenizer, generator): + """Test 4: prompt -> user -> assistant -> user-truncated (DROPPED)""" + print("\n" + "=" * 5) + print("TEST 4: prompt -> user -> assistant -> user-truncated (DROPPED)") + print("=" * 5) + + messages = [ + { + "role": "system", + "content": "You are a helpful assistant.", + } + ] + acc = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_seq_len=180, + eos_token_id=tokenizer.eos_token_id, + sanity_check_mode=SanityCheckMode.STRICT, + ) + + # Turn 1 - complete generation + print("\nTurn 1") + acc.add_user_message("Just reply to me with 'hi'. Do not think about it.") + prompt = acc.format_prompt() + + # ✅ Use get_remaining_budget() to prevent overflow + remaining = acc.get_remaining_budget() + print(f" Remaining budget before generation: {remaining}") + sampling_params = SamplingParams(temperature=0.0, top_p=0.9, max_tokens=remaining) + completions = await generator.generate.route( + prompt, sampling_params=sampling_params + ) + completion = completions[0] + + print(f" Response: {repr(completion.text)}") + print(f" Tokens: {len(completion.token_ids.tolist())}") + print(f" Stop reason: {completion.stop_reason}") + print( + f" Last token == EOS: {completion.token_ids.tolist()[-1] == tokenizer.eos_token_id}" + ) + + success = acc.add_assistant_response( + response_text=completion.text, + response_token_ids=completion.token_ids.tolist(), + ) + + print("TOTAL TOKENS IN ACCUMULATOR: ", len(acc.accumulated_tokens)) + print("get_remaining_budget: ", acc.get_remaining_budget()) + print("max_seq_len: ", acc.max_seq_len) + + success = acc.add_user_message("This is a very long message" * 100) + + print( + f"\nUser message accepted: {success}, Is truncated: {acc.is_truncated}, Truncation reason: {acc.truncation_reason}" + ) + print(f"Remaining budget after user truncation: {acc.get_remaining_budget()}") + print( + f"Current tokens: {len(acc.accumulated_tokens)}, max_seq_len: {acc.max_seq_len}" + ) + + # Always show decoded conversation + print("\nDECODED CONVERSATION (what was accumulated before/during truncation):") + decoded = tokenizer.decode(acc.accumulated_tokens) + print(decoded) + print("-" * 5) + print(f" Total tokens in accumulator: {len(acc.accumulated_tokens)}") + + # Collect all errors instead of failing early + errors = [] + + # The test expects truncation + if not acc.is_truncated: + errors.append("Episode should have been truncated!") + + if acc.truncation_reason != TruncationReason.USER_TOO_LONG: + errors.append(f"Wrong truncation reason: {acc.truncation_reason}") + + # ✅ Critical check: After user truncation, budget MUST be 0 + # If budget > 0, that's a bug in truncation logic that could allow agent responses + # to be generated and added even though episode is already truncated + remaining_budget = acc.get_remaining_budget() + if remaining_budget > 0: + errors.append( + f"Budget calculation bug! After user truncation, budget should be 0, got {remaining_budget}" + ) + errors.append( + "This could allow agent responses to be added to truncated episodes!" + ) + + # ✅ Verify we never exceeded max_seq_len + if len(acc.accumulated_tokens) > acc.max_seq_len: + errors.append( + f"Budget overflow! {len(acc.accumulated_tokens)} > {acc.max_seq_len}" + ) + + # Report all errors at once + if errors: + print("\n❌ ERRORS FOUND:") + for error in errors: + print(f" - {error}") + return False + + print("✅ PASS: Episode correctly marked as truncated") + print( + f"✅ PASS: Budget respected ({len(acc.accumulated_tokens)} <= {acc.max_seq_len})" + ) + return True + + +def test_initial_messages_too_long(tokenizer): + """Test 5: Initial messages exceed max_seq_len""" + print("\n" + "=" * 5) + print("TEST 5: Initial messages > max_seq_len") + print("=" * 5) + + # Create very long system message + long_system = "You are helpful. " * 100 # Very long + messages = [{"role": "system", "content": long_system}] + + acc = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_seq_len=50, # Tiny budget + eos_token_id=tokenizer.eos_token_id, + ) + + print( + f"Initial tokens: {len(acc.accumulated_tokens)}, max_seq_len: {acc.max_seq_len}" + ) + print(f"is_truncated: {acc.is_truncated}") + print(f"truncation_reason: {acc.truncation_reason}") + print(f"Remaining budget: {acc.get_remaining_budget()}") + + # Show decoded conversation + print("\nDECODED CONVERSATION:") + decoded = tokenizer.decode(acc.accumulated_tokens) + print("-" * 5) + print(decoded) + print("-" * 5) + + # Collect errors + errors = [] + + # Check truncation + if not acc.is_truncated: + errors.append("Should be marked truncated!") + + if acc.truncation_reason != TruncationReason.USER_TOO_LONG: + errors.append(f"Wrong truncation type: {acc.truncation_reason}") + + if len(acc.accumulated_tokens) != acc.max_seq_len: + errors.append( + f"Should be truncated to {acc.max_seq_len}, got {len(acc.accumulated_tokens)}" + ) + + if errors: + print("\n❌ ERRORS FOUND:") + for error in errors: + print(f" - {error}") + return False + + # Budget might not be exactly 0 due to assistant_overhead subtraction + print(f"✅ PASS: Initial messages correctly truncated") + print( + f" Note: Remaining budget = {acc.get_remaining_budget()} (may be >0 due to overhead calculation)" + ) + return True + + +def test_zero_budget_user_message(tokenizer): + """Test 6: Try to add user message with zero budget""" + print("\n" + "=" * 5) + print("TEST 6: Add user message with budget=0") + print("=" * 5) + + messages = [ + {"role": "system", "content": "You are helpful." * 50} + ] # Takes all budget + acc = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_seq_len=100, + eos_token_id=tokenizer.eos_token_id, + ) + + initial_len = len(acc.accumulated_tokens) + print(f"Initial: {initial_len} tokens, budget: {acc.get_remaining_budget()}") + + # Try to add user message (budget should be ~0 or negative) + success = acc.add_user_message("Hello") + + print(f"After add_user: {len(acc.accumulated_tokens)} tokens") + print(f"success: {success}, is_truncated: {acc.is_truncated}") + print(f"Remaining budget after attempt: {acc.get_remaining_budget()}") + + # Show decoded conversation + print("\nDECODED CONVERSATION:") + decoded = tokenizer.decode(acc.accumulated_tokens) + print("-" * 5) + print(decoded) + print("-" * 5) + + errors = [] + + # Should fail and not add anything (or add 0 tokens if budget was exactly 0) + if success: + errors.append("Should have failed (no budget)") + + if ( + len(acc.accumulated_tokens) > initial_len + 1 + ): # Allow at most 1 token if budget allowed + errors.append( + f"Added too many tokens! {len(acc.accumulated_tokens) - initial_len}" + ) + + if errors: + print("\n❌ ERRORS FOUND:") + for error in errors: + print(f" - {error}") + return False + + print("✅ PASS: User message correctly rejected/truncated with zero budget") + return True + + +def test_zero_budget_assistant_message(tokenizer): + """Test 7: Try to add assistant message with zero budget""" + print("\n" + "=" * 5) + print("TEST 7: Add assistant message with budget=0") + print("=" * 5) + + messages = [{"role": "system", "content": "You are helpful." * 50}] + acc = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_seq_len=100, + eos_token_id=tokenizer.eos_token_id, + ) + + initial_len = len(acc.accumulated_tokens) + budget = acc.get_remaining_budget() + print(f"Initial: {initial_len} tokens, budget: {budget}") + + # Assistant response with EOS + response_token_ids = [6151, tokenizer.eos_token_id] # "hi" + EOS + + success = acc.add_assistant_response("hi", response_token_ids) + + print(f"After add_assistant: {len(acc.accumulated_tokens)} tokens") + print(f"success: {success}") + print(f"Remaining budget after attempt: {acc.get_remaining_budget()}") + + # Show decoded conversation + print("\nDECODED CONVERSATION:") + decoded = tokenizer.decode(acc.accumulated_tokens) + print("-" * 5) + print(decoded) + print("-" * 5) + + # With zero/low budget, the assistant response should be rejected + # The key test is that we don't overflow max_seq_len + if len(acc.accumulated_tokens) > acc.max_seq_len: + print( + f"❌ ERROR: Exceeded max_seq_len! {len(acc.accumulated_tokens)} > {acc.max_seq_len}" + ) + return False + + # With the budget check, this should now be rejected + if success and budget == 0: + print("❌ ERROR: Assistant response should have been rejected (zero budget)") + return False + + print("✅ PASS: Assistant message handled correctly with zero budget") + return True + + +async def main(): + # Setup + model_path = "Qwen/Qwen3-1.7B" # "meta-llama/Meta-Llama-3.1-8B-Instruct" + tokenizer = AutoTokenizer.from_pretrained(model_path, local_files_only=True) + + print(f"Model: {model_path}") + print(f"EOS token: {tokenizer.eos_token} (id={tokenizer.eos_token_id})") + + # Start generator + engine_args = EngineArgs( + model=model_path, + tensor_parallel_size=1, + max_model_len=2048, + enable_prefix_caching=True, + ) + + generator = await Generator.options( + procs=1, + num_replicas=1, + with_gpus=True, + ).as_service( + engine_args=engine_args, + sampling_params=SamplingParams(), + ) + + print("✅ Generator ready\n") + + # Run tests + results = [] + + results.append( + ("Test 1 (complete)", await test_scenario_1_complete(tokenizer, generator)) + ) + results.append( + ( + "Test 2 (truncated-drop)", + await test_scenario_2_truncated(tokenizer, generator), + ) + ) + results.append( + ( + "Test 3 (multi-turn)", + await test_scenario_3_multiturn(tokenizer, generator), + ) + ) + results.append( + ( + "Test 4 (multi-turn-truncated-drop)", + await test_scenario_4_truncated_multiturn(tokenizer, generator), + ) + ) + results.append( + ("Test 5 (initial-too-long)", test_initial_messages_too_long(tokenizer)) + ) + results.append( + ("Test 6 (zero-budget-user)", test_zero_budget_user_message(tokenizer)) + ) + results.append( + ( + "Test 7 (zero-budget-assistant)", + test_zero_budget_assistant_message(tokenizer), + ) + ) + # Summary + print("\n" + "=" * 5) + print("SUMMARY") + print("=" * 5) + + for name, passed in results: + status = "✅ PASS" if passed else "❌ FAIL" + print(f"{status}: {name}") + + all_passed = all(p for _, p in results) + print("\n" + "=" * 5) + if all_passed: + print("✅✅✅ ALL TESTS PASSED ✅✅✅") + print("\nThe v9 fix works correctly:") + print(" 1. Complete responses match ground truth (no token mismatch)") + print(" 2. No duplicate tags in decoded output") + print(" 3. Truncated episodes are correctly dropped") + print(" 4. Multi-turn conversations work correctly") + else: + print("❌❌❌ SOME TESTS FAILED ❌❌❌") + print("\nPlease check the output above for details") + print("=" * 5) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/debug/thinking_tag_test.py b/debug/thinking_tag_test.py new file mode 100644 index 000000000..555ff97b9 --- /dev/null +++ b/debug/thinking_tag_test.py @@ -0,0 +1,110 @@ +from vllm.transformers_utils.tokenizer import get_tokenizer + +tokenizer = get_tokenizer("Qwen/Qwen3-1.7B") + +sys_message = { + "role": "system", + "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", +} + +user_message = {"role": "user", "content": "Hand: 15, Dealer: 10"} + +assistant_message_partial = {"role": "assistant", "content": "PARTIAL THINKING"} + +messages = [ + sys_message, + user_message, + assistant_message_partial, +] + +for add_generation_prompt in [True, False]: + for tokenize in [True, False]: + for enable_thinking in [True, False]: + print( + f"add_generation_prompt={add_generation_prompt}, " + f"tokenize={tokenize}, " + f"enable_thinking={enable_thinking}" + ) + msg_with_chat_template = tokenizer.apply_chat_template( + messages, + add_generation_prompt=add_generation_prompt, + tokenize=tokenize, + enable_thinking=enable_thinking, + ) + if tokenize: + print( + f"msg_with_chat_template decoded: {tokenizer.decode(msg_with_chat_template)}" + ) + else: + print(f"msg_with_chat_template: {msg_with_chat_template}") + print("=" * 5) + + +print("NOW COMPLETE THINKING") + +assistant_message_complete = { + "role": "assistant", + "content": "COMPLETE THINKING", +} +messages = [ + sys_message, + user_message, + assistant_message_complete, +] + +for add_generation_prompt in [True]: + for tokenize in [True]: + for enable_thinking in [True, False]: + print( + f"add_generation_prompt={add_generation_prompt}, " + f"tokenize={tokenize}, " + f"enable_thinking={enable_thinking}" + ) + msg_with_chat_template = tokenizer.apply_chat_template( + messages, + add_generation_prompt=add_generation_prompt, + tokenize=tokenize, + enable_thinking=enable_thinking, + ) + + if tokenize: + print( + f"msg_with_chat_template decoded: {tokenizer.decode(msg_with_chat_template)}" + ) + else: + print(f"msg_with_chat_template: {msg_with_chat_template}") + print("=" * 5) + +print("NO THINKING") +assistant_message_no_thinking = { + "role": "assistant", + "content": "NO THINKING CONTENT", +} +messages = [ + sys_message, + user_message, + assistant_message_no_thinking, +] + +for add_generation_prompt in [True]: + for tokenize in [True]: + for enable_thinking in [True, False]: + print( + f"add_generation_prompt={add_generation_prompt}, " + f"tokenize={tokenize}, " + f"enable_thinking={enable_thinking}" + ) + msg_with_chat_template = tokenizer.apply_chat_template( + messages, + add_generation_prompt=add_generation_prompt, + tokenize=tokenize, + enable_thinking=enable_thinking, + ) + + if tokenize: + print( + f"msg_with_chat_template decoded: {tokenizer.decode(msg_with_chat_template)}" + ) + else: + print(f"msg_with_chat_template: {msg_with_chat_template}") + print("=" * 5) diff --git a/debug/token_accumulator_fn.py b/debug/token_accumulator_fn.py new file mode 100644 index 000000000..7f9ec4588 --- /dev/null +++ b/debug/token_accumulator_fn.py @@ -0,0 +1,310 @@ +from enum import Enum +from functools import lru_cache + + +class SanityCheckMode(Enum): + """Sanity check modes for finalize validation.""" + + STRICT = "strict" + IGNORE_STRIPPABLE = "ignore_strippable" + DISABLE = "disable" + + +@lru_cache(maxsize=1) +def get_assistant_overhead(tokenizer) -> tuple[int, list[int], list[int]]: + """ + Get role header and footer tokens for assistant responses. + + This computes the tokens that wrap assistant content: + - Header: <|im_start|>assistant\n + - Footer: <|im_end|>\n + + Returns: + (overhead_count, header_tokens, footer_tokens) + """ + base = [ + {"role": "system", "content": ""}, + ] + base_tokens = tokenizer.apply_chat_template( + base, add_generation_prompt=False, tokenize=True + ) + + # Use empty content to get pure role headers/footers + with_assistant = base + [{"role": "assistant", "content": ""}] + full_tokens = tokenizer.apply_chat_template( + with_assistant, add_generation_prompt=False, tokenize=True + ) + + # Extract assistant portion (all tokens after base) + assistant_full = full_tokens[len(base_tokens) :] + + # With empty content, all tokens are header + footer + # Typically: header = <|im_start|>assistant\n, footer = <|im_end|>\n + # We need to split them. The footer is usually just the EOS token at the end. + + # Assume last token is EOS (footer), everything else is header + if len(assistant_full) > 0: + header = assistant_full[:-1] + footer = assistant_full[-1:] + else: + # Edge case: no tokens (shouldn't happen) + header = [] + footer = [] + + overhead = len(header) + len(footer) + return overhead, header, footer + + +class TokenAccumulator: + """ + Accumulates tokens during multi-turn rollout. + + Key improvements over prefix matching: + 1. Uses vLLM's token_ids directly (no re-tokenization of assistant content) + 2. Pre-computed role headers avoid chat template re-application + 3. No duplicate tags from Qwen's auto-wrapper behavior + 4. Drops truncated episodes (following industry best practice) + + Instead of re-tokenizing full conversation history each turn, we: + - Use BASE anchor for user messages (O(1) tokenization) + - Use direct tokens + static headers for assistant messages (O(0) tokenization!) + """ + + def __init__( + self, + tokenizer, + messages: list[dict], + max_seq_len: int, + eos_token_id: int, + sanity_check_mode: SanityCheckMode = SanityCheckMode.STRICT, + ): + self.tokenizer = tokenizer + self.max_seq_len = max_seq_len + self.eos_token_id = eos_token_id + self.sanity_check_mode = sanity_check_mode + + self.messages = messages.copy() + self.all_tokens: list[int] = [] + self.response_mask: list[int] = [] + self.logprobs: list[float] = [] + + # Pre-compute assistant role headers/footers + overhead, self.role_header, self.role_footer = get_assistant_overhead(tokenizer) + self.assistant_overhead = overhead + + self.is_truncated = False + self.truncation_reason: str | None = None + + # Setup BASE anchor + if len(messages) == 0: + raise ValueError("Must provide at least system message") + + system_msg = ( + messages[0] + if messages[0]["role"] == "system" + else {"role": "system", "content": ""} + ) + + self.BASE_CHAT_HISTORY = [ + system_msg, + {"role": "user", "content": ""}, + ] + + # Pre-compute slice positions + self.base_tokens_wo_gen = self.tokenizer.apply_chat_template( + self.BASE_CHAT_HISTORY, + add_generation_prompt=False, + tokenize=True, + ) + self.base_len_wo_gen = len(self.base_tokens_wo_gen) + + system_tokens = self.tokenizer.apply_chat_template( + [system_msg], + add_generation_prompt=False, + tokenize=True, + ) + self.system_len = len(system_tokens) + + # Initialize with initial messages + if len(messages) > 0: + initial_tokens = tokenizer.apply_chat_template( + messages, + add_generation_prompt=False, + tokenize=True, + ) + self.all_tokens.extend(initial_tokens) + self.response_mask.extend([0] * len(initial_tokens)) + self.logprobs.extend([0.0] * len(initial_tokens)) + + def get_remaining_budget(self) -> int: + current_with_overhead = len(self.all_tokens) + self.assistant_overhead + return self.max_seq_len - current_with_overhead + + def format_prompt(self) -> str: + """Format prompt for generation.""" + return self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=True, + tokenize=False, + ) + + def add_assistant_response( + self, + response_text: str, + response_token_ids: list[int], + response_logprobs: list[float] | None = None, + ) -> bool: + """ + Add assistant response using DIRECT token extraction. + + This avoids re-applying chat_template on vLLM's response, which prevents + Qwen's auto-wrapper from adding duplicate tags when the + response is truncated mid-tag. + + Args: + response_text: Response text from vLLM (for message log) + response_token_ids: Content token IDs from vLLM (includes tags) + response_logprobs: Logprobs from vLLM (content tokens only) + + Returns: + True if not truncated (episode can continue) + False if truncated (episode should be discarded) + """ + # Check if truncated - if so, REJECT entire episode + is_truncated = ( + len(response_token_ids) > 0 and response_token_ids[-1] != self.eos_token_id + ) + + if is_truncated: + # Mark as truncated but don't accumulate + self.is_truncated = True + self.truncation_reason = "generation_hit_max_tokens" + return False + + # Only handle COMPLETE responses + # Remove EOS from content if present (footer already has it) + content_tokens = response_token_ids + if content_tokens and content_tokens[-1] == self.eos_token_id: + content_tokens = content_tokens[:-1] + + # Combine: header + content (from vLLM) + footer + assistant_tokens = self.role_header + content_tokens + self.role_footer + + # Create logprobs: zeros for headers/footers, actual for content + assistant_logprobs = [0.0] * len(self.role_header) + if response_logprobs is not None: + assistant_logprobs.extend(response_logprobs[: len(content_tokens)]) + else: + assistant_logprobs.extend([0.0] * len(content_tokens)) + assistant_logprobs.extend([0.0] * len(self.role_footer)) + + # Accumulate (all complete responses are trainable, mask=1) + self.all_tokens.extend(assistant_tokens) + self.response_mask.extend([1] * len(assistant_tokens)) + self.logprobs.extend(assistant_logprobs) + + # Add to messages for next prompt + self.messages.append({"role": "assistant", "content": response_text}) + + return True + + def add_user_message(self, content: str) -> bool: + """ + Add user message using BASE anchor. + + Args: + content: User message content + + Returns: + True if successful, False if would exceed budget + """ + self.messages.append({"role": "user", "content": content}) + + # Tokenize system + user to get delta + temp_messages = [ + self.BASE_CHAT_HISTORY[0], + {"role": "user", "content": content}, + ] + full_with_user = self.tokenizer.apply_chat_template( + temp_messages, + add_generation_prompt=False, + tokenize=True, + ) + user_message_tokens = full_with_user[self.system_len :] + + # Check budget + success = True + new_amount_to_add = len(user_message_tokens) + self.assistant_overhead + budget = self.max_seq_len - len(self.all_tokens) + if new_amount_to_add > budget: + self.is_truncated = True + self.truncation_reason = "user_message_length" + success = False + + # Accumulate + maybe_truncated_tokens = user_message_tokens[:budget] + self.all_tokens.extend(maybe_truncated_tokens) + self.response_mask.extend([0] * len(maybe_truncated_tokens)) + self.logprobs.extend([0.0] * len(maybe_truncated_tokens)) + + return success + + def finalize(self, strict: bool = None) -> bool: + """ + Validate token accumulation against ground truth. + + With the v9 fix (direct token extraction), this should ALWAYS match + for complete responses. Any mismatch indicates a bug. + + Args: + strict: Override sanity_check_mode if provided + + Returns: + True if validation passed or skipped, False if mismatch detected + + Raises: + ValueError: If mismatch detected and mode is STRICT + """ + assert len(self.logprobs) == len(self.all_tokens) + assert len(self.logprobs) == len(self.response_mask) + + mode = self.sanity_check_mode + if strict is not None: + mode = SanityCheckMode.STRICT if strict else SanityCheckMode.DISABLE + + if mode == SanityCheckMode.DISABLE: + return True + + ground_truth = self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=False, + tokenize=True, + ) + + if len(self.all_tokens) != len(ground_truth): + diff = len(ground_truth) - len(self.all_tokens) + + # Check if only whitespace differs + if mode == SanityCheckMode.IGNORE_STRIPPABLE: + accumulated_text = self.tokenizer.decode(self.all_tokens) + ground_truth_text = self.tokenizer.decode(ground_truth) + if accumulated_text.strip() == ground_truth_text.strip(): + return True + + error_msg = ( + f"Token accumulation mismatch!\n" + f" Accumulated: {len(self.all_tokens)} tokens\n" + f" Ground truth: {len(ground_truth)} tokens\n" + f" Difference: {diff}\n" + f" Last 20 accumulated: {self.all_tokens[-20:]}\n" + f" Last 20 ground truth: {ground_truth[-20:]}\n" + f" Sanity check mode: {mode.value}" + ) + + if mode == SanityCheckMode.STRICT: + raise ValueError(error_msg) + else: + print(f"⚠️ {error_msg}") + return False + + return True diff --git a/debug/token_accumulator_fn_v2.py b/debug/token_accumulator_fn_v2.py new file mode 100644 index 000000000..2ec73ef9f --- /dev/null +++ b/debug/token_accumulator_fn_v2.py @@ -0,0 +1,250 @@ +from enum import Enum + + +class SanityCheckMode(Enum): + """Sanity check modes for finalize validation.""" + + STRICT = "strict" + IGNORE_STRIPPABLE = "ignore_strippable" + DISABLE = "disable" + + +class TokenAccumulator: + """ + Accumulates tokens during multi-turn rollout. + + Simplified V2 approach: + - Use full re-tokenization with prefix matching (always correct) + - Use vLLM's token_ids to find content location + - Map logprobs to matching positions (1:1 with vLLM's token_ids) + - Use 0.0 for role markers/headers/footers + """ + + def __init__( + self, + tokenizer, + messages: list[dict], + max_seq_len: int, + eos_token_id: int, + sanity_check_mode: SanityCheckMode = SanityCheckMode.STRICT, + ): + self.tokenizer = tokenizer + self.max_seq_len = max_seq_len + self.eos_token_id = eos_token_id + self.sanity_check_mode = sanity_check_mode + + self.messages = messages.copy() + self.all_tokens: list[int] = [] + self.response_mask: list[int] = [] + self.logprobs: list[float] = [] + + self.is_truncated = False + self.truncation_reason: str | None = None + + # Initialize with initial messages + if len(messages) > 0: + initial_tokens = tokenizer.apply_chat_template( + messages, + add_generation_prompt=False, + tokenize=True, + ) + self.all_tokens.extend(initial_tokens) + self.response_mask.extend([0] * len(initial_tokens)) + self.logprobs.extend([0.0] * len(initial_tokens)) + + def get_remaining_budget(self) -> int: + """ + Get remaining token budget. + + Use conservative estimate: reserve ~10 tokens for assistant overhead. + """ + estimated_overhead = 10 + return max(0, self.max_seq_len - len(self.all_tokens) - estimated_overhead) + + def format_prompt(self) -> str: + """Format prompt for generation.""" + return self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=True, + tokenize=False, + ) + + def add_assistant_response( + self, + response_text: str, + response_token_ids: list[int], + response_logprobs: list[float] | None = None, + ) -> bool: + """ + Add assistant response using prefix matching. + + Simple approach: + 1. Check truncation using vLLM's token_ids + 2. Use prefix matching to get new tokens (always correct) + 3. Find where vLLM's tokens appear in new tokens + 4. Map logprobs: vLLM's logprobs at matching positions, 0.0 elsewhere + + Args: + response_text: Response text from vLLM + response_token_ids: Token IDs from vLLM (includes EOS if complete) + response_logprobs: Logprobs from vLLM (1:1 with token_ids) + + Returns: + True if not truncated, False if truncated + """ + # Check truncation + is_truncated = ( + len(response_token_ids) > 0 + and response_token_ids[-1] != self.eos_token_id + ) + + if is_truncated: + self.is_truncated = True + self.truncation_reason = "generation_hit_max_tokens" + return False + + # Add message + self.messages.append({"role": "assistant", "content": response_text}) + + # Get ground truth tokens via prefix matching + full_tokens = self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=False, + tokenize=True, + ) + new_tokens = full_tokens[len(self.all_tokens) :] + + # Accumulate tokens + self.all_tokens.extend(new_tokens) + self.response_mask.extend([1] * len(new_tokens)) + + # For logprobs: find where vLLM's tokens are in new_tokens + content_start = None + if response_logprobs is not None and len(response_logprobs) == len( + response_token_ids + ): + # Search for vLLM's tokens as a substring + for i in range(len(new_tokens) - len(response_token_ids) + 1): + if new_tokens[i : i + len(response_token_ids)] == response_token_ids: + content_start = i + break + + # Build logprobs array + if content_start is not None: + # Found them! Map logprobs correctly + logprobs = ( + [0.0] * content_start # Role markers before + + response_logprobs # Actual logprobs from vLLM + + [0.0] + * ( + len(new_tokens) - content_start - len(response_token_ids) + ) # After + ) + else: + # Fallback: all zeros + logprobs = [0.0] * len(new_tokens) + + self.logprobs.extend(logprobs) + + return True + + def add_user_message(self, content: str, check_budget: bool = True) -> bool: + """ + Add user message using prefix matching. + + Args: + content: User message content + check_budget: Whether to check budget and truncate if necessary + + Returns: + True if successful, False if truncated + """ + # Add message + self.messages.append({"role": "user", "content": content}) + + # Re-tokenize full conversation + full_tokens = self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=False, + tokenize=True, + ) + + # Extract new tokens + new_tokens = full_tokens[len(self.all_tokens) :] + + # Check budget + success = True + if check_budget: + estimated_assistant_overhead = 10 + budget = self.max_seq_len - len(self.all_tokens) + + if len(new_tokens) + estimated_assistant_overhead > budget: + self.is_truncated = True + self.truncation_reason = "user_message_length" + success = False + # Truncate tokens to fit + new_tokens = new_tokens[: max(0, budget - estimated_assistant_overhead)] + + # Accumulate + self.all_tokens.extend(new_tokens) + self.response_mask.extend([0] * len(new_tokens)) + self.logprobs.extend([0.0] * len(new_tokens)) + + return success + + def finalize(self, strict: bool = None) -> bool: + """ + Validate token accumulation against ground truth. + + Args: + strict: Override sanity_check_mode if provided + + Returns: + True if validation passed or skipped, False if mismatch detected + + Raises: + ValueError: If mismatch detected and mode is STRICT + """ + assert len(self.logprobs) == len(self.all_tokens) + assert len(self.logprobs) == len(self.response_mask) + + mode = self.sanity_check_mode + if strict is not None: + mode = SanityCheckMode.STRICT if strict else SanityCheckMode.DISABLE + + if mode == SanityCheckMode.DISABLE: + return True + + ground_truth = self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=False, + tokenize=True, + ) + + if len(self.all_tokens) != len(ground_truth): + diff = len(ground_truth) - len(self.all_tokens) + + # Check if only whitespace differs + if mode == SanityCheckMode.IGNORE_STRIPPABLE: + accumulated_text = self.tokenizer.decode(self.all_tokens) + ground_truth_text = self.tokenizer.decode(ground_truth) + if accumulated_text.strip() == ground_truth_text.strip(): + return True + + error_msg = ( + f"Token accumulation mismatch!\n" + f" Accumulated: {len(self.all_tokens)} tokens\n" + f" Ground truth: {len(ground_truth)} tokens\n" + f" Difference: {diff}\n" + f" Last 20 accumulated: {self.all_tokens[-20:]}\n" + f" Last 20 ground truth: {ground_truth[-20:]}\n" + f" Sanity check mode: {mode.value}" + ) + + if mode == SanityCheckMode.STRICT: + raise ValueError(error_msg) + else: + print(f"⚠️ {error_msg}") + return False + + return True diff --git a/debug/token_accumulator_fn_v3.py b/debug/token_accumulator_fn_v3.py new file mode 100644 index 000000000..30cf7e826 --- /dev/null +++ b/debug/token_accumulator_fn_v3.py @@ -0,0 +1,410 @@ +from enum import Enum + + +class SanityCheckMode(Enum): + """Sanity check modes for finalize validation.""" + + STRICT = "strict" + IGNORE_STRIPPABLE = "ignore_strippable" + DISABLE = "disable" + + +class TruncationReason(Enum): + """Reason for episode truncation.""" + + max_num_turns = "max_num_turns" + agent_max_length = "agent_max_length" # Agent generation hit max_tokens (no EOS) + tool_max_length = "tool_max_length" # Tool response too long + user_max_length = "user_max_length" # User message too long + + +class TokenAccumulator: + """ + Accumulates tokens during multi-turn rollout using BASE anchor pattern. + + Key insight: Qwen's chat template removes tags from previous assistant + messages when adding new messages. This breaks prefix matching. + + Solution: Never re-tokenize the full conversation. Instead: + 1. Use a fixed BASE conversation [system, empty_user] as anchor + 2. Tokenize only deltas (one new message at a time) + 3. Slice from pre-computed offsets to extract just the new tokens + + This approach: + - Works with Qwen's thinking tag removal + - Minimizes tokenization calls (1 per message instead of full conversation) + - Provides accurate budget tracking + + Truncation behavior (CRITICAL): + ⚠️ ASSISTANT TRUNCATION → EPISODE DROPPED + If vLLM truncates assistant response (no EOS token), the entire + episode is rejected. add_assistant_response() returns False and + nothing is accumulated. + + ✓ USER TRUNCATION → EPISODE CONTINUES WITH TRUNCATION FLAG + If user message would exceed budget, it's truncated to fit. + add_user_message() returns False, sets is_truncated=True, but + the truncated message is accumulated and episode can continue. + + Example - Multi-turn with budget constraints: + ```python + # Initialize with tight budget + messages = [{"role": "system", "content": "You are helpful."}] + acc = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_seq_len=100, # Tight budget + eos_token_id=128001, + ) + # State: all_tokens=[...], len=25 (system prompt) + + # Turn 1: User asks, assistant responds + acc.add_user_message("Say hi") + # State: all_tokens=[..., user_tokens], len=35 + # Remaining budget: 100 - 35 - 6 (overhead) = 59 tokens + + response = llm.generate( + acc.format_prompt(), + max_tokens=acc.get_remaining_budget() # max_tokens=59 + ) + # response.text = "hi" + # response.token_ids = [6151, 128001] # "hi" + EOS + + success = acc.add_assistant_response("hi", response.token_ids) + # success=True (has EOS token, complete response) + # State: all_tokens=[..., user, assistant], len=45 + # is_truncated=False + + # Turn 2: Try to add very long user message + long_msg = "Please explain quantum mechanics in detail..." * 100 + success = acc.add_user_message(long_msg) + # User message is 200 tokens, but only 100-45-6=49 tokens available + # Message is TRUNCATED to fit + # success=False (truncated) + # State: all_tokens=[..., truncated_user_msg], len=94 + # is_truncated=True, truncation_reason=TruncationReason.user_max_length + # ⚠️ Episode is marked truncated but tokens are valid + + # Episode outcome: + # - all_tokens.shape = (94,) + # - response_mask.shape = (94,) # 1s for assistant tokens, 0s elsewhere + # - logprobs.shape = (94,) + # - is_truncated = True + # - Should be DROPPED in training (truncated episodes are invalid) + ``` + + Quick reference for 4 test scenarios: + 1. Complete single turn: success=True, is_truncated=False → ✓ Train + 2. Assistant truncated: success=False → ✗ Drop entire episode + 3. Complete multi-turn: all success=True → ✓ Train + 4. User truncated: success=False, is_truncated=True → ✗ Drop + """ + + def __init__( + self, + tokenizer, + messages: list[dict], + max_seq_len: int, + eos_token_id: int, + sanity_check_mode: SanityCheckMode = SanityCheckMode.STRICT, + ): + self.tokenizer = tokenizer + self.max_seq_len = max_seq_len + self.eos_token_id = eos_token_id + self.sanity_check_mode = sanity_check_mode + + self.messages = messages.copy() + self.all_tokens: list[int] = [] + self.response_mask: list[int] = [] + self.logprobs: list[float] = [] + + self.is_truncated = False + self.truncation_reason: TruncationReason | None = None + + # Setup BASE anchor for delta tokenization + if len(messages) == 0: + raise ValueError("Must provide at least system message") + + system_msg = ( + messages[0] + if messages[0]["role"] == "system" + else {"role": "system", "content": ""} + ) + + # BASE: [system, empty_user] - never changes, so consistent tokenization + self.BASE_CHAT_HISTORY = [ + system_msg, + {"role": "user", "content": ""}, + ] + + # Pre-compute base lengths for slicing + base_wo_gen = tokenizer.apply_chat_template( + self.BASE_CHAT_HISTORY, + add_generation_prompt=False, + tokenize=True, + ) + self.base_wo_gen_len = len(base_wo_gen) + + base_with_gen = tokenizer.apply_chat_template( + self.BASE_CHAT_HISTORY, + add_generation_prompt=True, + tokenize=True, + ) + self.base_with_gen_len = len(base_with_gen) + + # System message length for user message slicing + system_tokens = tokenizer.apply_chat_template( + [system_msg], + add_generation_prompt=False, + tokenize=True, + ) + self.system_len = len(system_tokens) + + # Assistant overhead = generation prompt tokens + self.assistant_overhead = self.base_with_gen_len - self.base_wo_gen_len + + # Initialize with initial messages + if len(messages) > 0: + initial_tokens = tokenizer.apply_chat_template( + messages, + add_generation_prompt=False, + tokenize=True, + ) + + # Check if initial messages exceed budget + if len(initial_tokens) > max_seq_len: + self.is_truncated = True + self.truncation_reason = TruncationReason.user_max_length + # Truncate to fit + initial_tokens = initial_tokens[:max_seq_len] + + self.all_tokens.extend(initial_tokens) + self.response_mask.extend([0] * len(initial_tokens)) + self.logprobs.extend([0.0] * len(initial_tokens)) + + def get_remaining_budget(self) -> int: + """Get remaining token budget accounting for assistant overhead.""" + current_with_overhead = len(self.all_tokens) + self.assistant_overhead + return max(0, self.max_seq_len - current_with_overhead) + + def format_prompt(self) -> str: + """Format prompt for generation.""" + return self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=True, + tokenize=False, + ) + + def add_assistant_response( + self, + response_text: str, + response_token_ids: list[int], + response_logprobs: list[float] | None = None, + ) -> bool: + """ + Add assistant response using BASE anchor delta tokenization. + + Args: + response_text: Response text from vLLM + response_token_ids: Token IDs from vLLM (includes EOS if complete) + response_logprobs: Logprobs from vLLM (1:1 with token_ids) + + Returns: + True if not truncated, False if truncated + """ + # Check truncation + is_truncated = ( + len(response_token_ids) > 0 and response_token_ids[-1] != self.eos_token_id + ) + + if is_truncated: + self.is_truncated = True + self.truncation_reason = TruncationReason.agent_max_length + return False + + # Add message + self.messages.append({"role": "assistant", "content": response_text}) + + # Delta tokenization: [system, empty_user, assistant_new] + temp_messages = [ + self.BASE_CHAT_HISTORY[0], # System + {"role": "user", "content": ""}, # Empty user from base + {"role": "assistant", "content": response_text}, + ] + full_with_assistant = self.tokenizer.apply_chat_template( + temp_messages, + add_generation_prompt=False, + tokenize=True, + ) + + # Extract only assistant tokens (everything after base) + assistant_tokens = full_with_assistant[self.base_wo_gen_len :] + + # Check budget before accumulating + available_space = self.max_seq_len - len(self.all_tokens) + if len(assistant_tokens) > available_space: + # Budget overflow - this shouldn't happen if caller used get_remaining_budget() + # but we need to handle it gracefully + self.is_truncated = True + self.truncation_reason = TruncationReason.agent_max_length + # Remove the message we just added + self.messages.pop() + return False + + # Accumulate tokens + self.all_tokens.extend(assistant_tokens) + self.response_mask.extend([1] * len(assistant_tokens)) + + # Map logprobs: find where vLLM's tokens appear in assistant_tokens + content_start = None + if response_logprobs is not None and len(response_logprobs) == len( + response_token_ids + ): + # Search for vLLM's token_ids as substring + for i in range(len(assistant_tokens) - len(response_token_ids) + 1): + if ( + assistant_tokens[i : i + len(response_token_ids)] + == response_token_ids + ): + content_start = i + break + + # Build logprobs array + if content_start is not None: + # Found exact match - map logprobs correctly + logprobs = ( + [0.0] * content_start # Role markers before + + response_logprobs # Actual logprobs from vLLM + + [0.0] + * (len(assistant_tokens) - content_start - len(response_token_ids)) + ) + else: + # Fallback: all zeros (shouldn't happen with correct implementation) + logprobs = [0.0] * len(assistant_tokens) + + self.logprobs.extend(logprobs) + + return True + + def add_user_message(self, content: str, check_budget: bool = True) -> bool: + """ + Add user message using BASE anchor delta tokenization. + + Args: + content: User message content + check_budget: Whether to check budget and truncate if necessary + + Returns: + True if successful, False if truncated + """ + # Add message + self.messages.append({"role": "user", "content": content}) + + # Delta tokenization: [system, user_new] + temp_messages = [ + self.BASE_CHAT_HISTORY[0], # System + {"role": "user", "content": content}, + ] + full_with_user = self.tokenizer.apply_chat_template( + temp_messages, + add_generation_prompt=False, + tokenize=True, + ) + + # Extract only user message tokens (everything after system) + user_message_tokens = full_with_user[self.system_len :] + + # Check budget + success = True + if check_budget: + new_amount = len(user_message_tokens) + self.assistant_overhead + budget = self.max_seq_len - len(self.all_tokens) + + if new_amount > budget: + self.is_truncated = True + self.truncation_reason = TruncationReason.user_max_length + success = False + # Truncate to fit (if budget allows any tokens) + available = max(0, budget - self.assistant_overhead) + user_message_tokens = user_message_tokens[:available] + + # Accumulate (only if there are tokens to add) + if len(user_message_tokens) > 0: + self.all_tokens.extend(user_message_tokens) + self.response_mask.extend([0] * len(user_message_tokens)) + self.logprobs.extend([0.0] * len(user_message_tokens)) + + return success + + def finalize(self, strict: bool = None) -> bool: + """ + Validate token accumulation. + + Note: With Qwen, ground truth comparison will fail because Qwen removes + tags from previous assistant messages. Our accumulated tokens + are correct (they match what was actually generated). We validate + structure instead of exact token match. + + Args: + strict: Override sanity_check_mode if provided + + Returns: + True if validation passed + + Raises: + ValueError: If critical issues detected + """ + # Always check basic structure + assert len(self.all_tokens) == len(self.response_mask) + assert len(self.all_tokens) == len(self.logprobs) + + # Check we didn't exceed budget + if len(self.all_tokens) > self.max_seq_len: + raise ValueError( + f"Token accumulation exceeded max_seq_len! " + f"{len(self.all_tokens)} > {self.max_seq_len}" + ) + + mode = self.sanity_check_mode + if strict is not None: + mode = SanityCheckMode.STRICT if strict else SanityCheckMode.DISABLE + + if mode == SanityCheckMode.DISABLE: + return True + + # Try ground truth comparison (will fail with Qwen multi-turn) + ground_truth = self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=False, + tokenize=True, + ) + + if len(self.all_tokens) != len(ground_truth): + diff = len(ground_truth) - len(self.all_tokens) + + # Check if only whitespace differs + if mode == SanityCheckMode.IGNORE_STRIPPABLE: + accumulated_text = self.tokenizer.decode(self.all_tokens) + ground_truth_text = self.tokenizer.decode(ground_truth) + if accumulated_text.strip() == ground_truth_text.strip(): + return True + + # Log warning about mismatch + warning_msg = ( + f"Token accumulation mismatch detected:\n" + f" Accumulated: {len(self.all_tokens)} tokens\n" + f" Ground truth: {len(ground_truth)} tokens\n" + f" Difference: {diff}\n" + f" Note: This can happen when the chat template modifies previous messages\n" + f" (e.g., Qwen strips tags). Accumulated tokens are correct\n" + f" (they match what was actually generated)." + ) + + if mode == SanityCheckMode.STRICT: + raise ValueError(warning_msg) + else: + # Just warn and continue (like VERL does) + print(f"⚠️ {warning_msg}") + return True # Still pass validation + + return True diff --git a/debug/token_accumulator_fn_v4.py b/debug/token_accumulator_fn_v4.py new file mode 100644 index 000000000..4ca5e537a --- /dev/null +++ b/debug/token_accumulator_fn_v4.py @@ -0,0 +1,313 @@ +from enum import Enum + + +class SanityCheckMode(Enum): + """Validation mode for finalize().""" + + STRICT = "strict" + DISABLE = "disable" + + +class TruncationReason(Enum): + """Why an episode was truncated.""" + + MAX_TURNS = "max_turns" + AGENT_TOO_LONG = "agent_too_long" # No EOS token or exceeded budget + USER_TOO_LONG = "user_too_long" + TOOL_TOO_LONG = "tool_too_long" + + +class TokenAccumulator: + """ + Accumulates tokens during multi-turn RL rollouts with strict budget constraints. + **IMPORTANT** Truncation behavior: + - Agent response incomplete (no EOS): Tokens are dropped, nothing accumulated + - User message too long: Truncated to fit, episode marked for dropping + + Why do we need this class? + Problem: We need to track tokens as the conversation grows turn-by-turn. + + Naive approach 1 - Just tokenize each message independently: + user_text = "Hello" + user_tokens = tokenizer.encode(user_text) # [9906] + WRONG! -> Missing special tokens! Should be: [<|im_start|>, user, \n, 9906, <|im_end|>] + + Naive approach 2 - Tokenize a full conversation + WRONG! -> Qwen's template strips tags from past messages, tokens don't match! + Also, hard to create mask for the tokens that are traianble + + Solution - Delta tokenization: + We tokenize [anchor + new_message] and slice off only the new tokens, where anchor is just a dummy message to allow the tokenizer to apply the correct message tokens, e.g. <|im_start|>: + + Turn 1, adding user message: + tokenize([system, empty_user, new_user]) → [...system..., ...empty_user..., ...new_user...] + slice from anchor_len → get only new_user tokens + + Turn 1, adding assistant: + tokenize([system, empty_user, new_assistant]) → [...system..., ...empty_user..., ...new_assistant...] + slice from anchor_len → get only new_assistant tokens + + The anchor ([system, empty_user]) stays constant, so the chat template applies + consistent formatting to the new message, and we extract just those tokens. + + Usage: + acc = TokenAccumulator(tokenizer, messages=[...], max_seq_len=2048, eos_token_id=...) + + acc.add_user_message("Hello") + + input_text = acc.format_prompt() + + response = model.generate(input_text, max_tokens=acc.get_remaining_budget()) + + acc.add_assistant_response(response.text, response.token_ids) + + if acc.is_truncated: + return None # Drop episode + + return Episode( + token_ids=acc.accumulated_tokens, + response_mask=acc.response_mask, + log_probs=acc.log_probs, + messages=messages, + ...) + """ + + def __init__( + self, + tokenizer, + messages: list[dict], + max_seq_len: int, + eos_token_id: int, + sanity_check_mode: SanityCheckMode = SanityCheckMode.STRICT, + ): + self.tokenizer = tokenizer + self.max_seq_len = max_seq_len + self.eos_token_id = eos_token_id + self.sanity_check_mode = sanity_check_mode + + # Core state + self.messages = [] + self.accumulated_tokens = [] + self.response_mask = [] + self.logprobs = [] + + # Truncation tracking + self.is_truncated = False + self.truncation_reason = None + + self._setup_anchor(messages) + self._initialize_messages(messages) + + # ============ Public API ============ + + def add_user_message(self, content: str) -> bool: + """ + Add user message, truncating to fit budget if necessary. + Returns False if truncated. + """ + user_tokens = self._tokenize_delta({"role": "user", "content": content}, "user") + budget = self.get_remaining_budget() + original_len = len(user_tokens) + user_tokens = self._truncate_to_fit( + user_tokens, budget, TruncationReason.USER_TOO_LONG + ) + + if user_tokens: + self.messages.append({"role": "user", "content": content}) + self._accumulate(user_tokens, is_response=False) + + return len(user_tokens) == original_len + + def add_assistant_response( + self, + response_text: str, + response_token_ids: list[int], + response_logprobs: list[float] | None = None, + ) -> bool: + """ + Add assistant response. Returns False if response was truncated (no EOS). + Episode should be dropped if this returns False. + """ + # Check for truncation (missing EOS) + if response_token_ids and response_token_ids[-1] != self.eos_token_id: + return self._mark_truncated(TruncationReason.AGENT_TOO_LONG) + + message = {"role": "assistant", "content": response_text} + assistant_tokens = self._tokenize_delta(message, "assistant") + + # Check budget - reject if would exceed max_seq_len + if len(assistant_tokens) > self.get_remaining_budget(): + return self._mark_truncated(TruncationReason.AGENT_TOO_LONG) + else: + self.messages.append({"role": "assistant", "content": response_text}) + + # Map logprobs: vLLM returns content tokens only, align from end (EOS) + if response_logprobs and len(response_logprobs) == len(response_token_ids): + prefix_len = len(assistant_tokens) - len(response_token_ids) + logprobs = [0.0] * prefix_len + response_logprobs + else: + logprobs = None + + self._accumulate(assistant_tokens, is_response=True, logprobs=logprobs) + return True + + def format_prompt(self) -> str: + """Format current conversation for generation.""" + return self.tokenizer.apply_chat_template( + self.messages, add_generation_prompt=True, tokenize=False + ) + + def get_remaining_budget(self) -> int: + """ + Get remaining tokens available for generation. + + We reserve generation_prompt_len tokens (e.g., "<|im_start|>assistant\n") + because format_prompt() adds these when preparing input for the model. + """ + used = len(self.accumulated_tokens) + self.generation_prompt_len + return max(0, self.max_seq_len - used) + + def finalize(self) -> bool: + """ + Validate final episode state. + Returns True if valid, raises ValueError if critical issue detected. + """ + self._check_structure() + + if self.sanity_check_mode != SanityCheckMode.DISABLE: + self._check_ground_truth() + + return True + + # ============ Private Helpers ============ + + def _setup_anchor(self, messages: list[dict]): + """ + Setup anchor conversation for delta tokenization. + + Delta tokenization: Instead of re-tokenizing the full conversation after each message, + we tokenize only the new message against a fixed anchor ([system, empty_user]). The dummy anchor is necessary to ensure that all special tokens are added. + + Computes key lengths for budget calculation: + - anchor_len: tokens in [system, empty_user] + - generation_prompt_len: tokens added by add_generation_prompt=True (e.g., "<|im_start|>assistant\n") + - system_len: tokens in [system] alone + """ + if not messages: + raise ValueError("Must provide at least system message") + + system_msg = ( + messages[0] + if messages[0]["role"] == "system" + else {"role": "system", "content": ""} + ) + + # Anchor: [system, empty_user] - stays constant for consistent tokenization + self.anchor = [system_msg, {"role": "user", "content": ""}] + + # Length of anchor without generation prompt + anchor_tokens = self.tokenizer.apply_chat_template( + self.anchor, add_generation_prompt=False, tokenize=True + ) + self.anchor_len = len(anchor_tokens) + + # Length of anchor WITH generation prompt - difference is the prompt overhead + anchor_with_gen = self.tokenizer.apply_chat_template( + self.anchor, add_generation_prompt=True, tokenize=True + ) + self.generation_prompt_len = len(anchor_with_gen) - self.anchor_len + + # System message length alone (for user message delta slicing), e.g. full[self.system_len:] + system_tokens = self.tokenizer.apply_chat_template( + [system_msg], add_generation_prompt=False, tokenize=True + ) + self.system_len = len(system_tokens) + + def _initialize_messages(self, messages: list[dict]): + """Initialize conversation with provided messages.""" + if not messages: + return + + initial_tokens = self.tokenizer.apply_chat_template( + messages, add_generation_prompt=False, tokenize=True + ) + + if len(initial_tokens) > self.max_seq_len: + self._mark_truncated(TruncationReason.USER_TOO_LONG) + initial_tokens = initial_tokens[: self.max_seq_len] + + self.messages = messages.copy() + self._accumulate(initial_tokens, is_response=False) + + def _tokenize_delta(self, message: dict, role: str) -> list[int]: + """Tokenize single message using anchor conversation.""" + if role == "assistant": + temp = [self.anchor[0], {"role": "user", "content": ""}, message] + offset = self.anchor_len + else: # user + temp = [self.anchor[0], message] + offset = self.system_len + + full = self.tokenizer.apply_chat_template( + temp, add_generation_prompt=False, tokenize=True + ) + return full[offset:] + + def _truncate_to_fit( + self, tokens: list[int], available: int, reason: TruncationReason + ) -> list[int]: + """ + Truncate tokens to fit available space. Marks truncation if needed. + Returns truncated tokens. + """ + if len(tokens) > available: + self._mark_truncated(reason) + return tokens[: max(0, available)] + return tokens + + def _accumulate( + self, tokens: list[int], is_response: bool, logprobs: list[float] | None = None + ): + """Add tokens to accumulator.""" + self.accumulated_tokens.extend(tokens) + self.response_mask.extend([int(is_response)] * len(tokens)) + self.logprobs.extend(logprobs or [0.0] * len(tokens)) + + def _mark_truncated(self, reason: TruncationReason) -> bool: + """Mark episode as truncated and return False.""" + self.is_truncated = True + self.truncation_reason = reason + return False + + def _check_structure(self): + """Verify basic structural invariants.""" + assert ( + len(self.accumulated_tokens) + == len(self.response_mask) + == len(self.logprobs) + ) + + if len(self.accumulated_tokens) > self.max_seq_len: + raise ValueError( + f"Budget overflow: {len(self.accumulated_tokens)} > {self.max_seq_len}" + ) + + def _check_ground_truth(self): + """ + Compare with ground truth tokenization. + May fail with chat templates that modify history (e.g., Qwen deletes tokens from older messages. This would cause a disparate between accumulated tokens and tokenized messages, since we accumulated the tokens with the tokens). + """ + ground_truth = self.tokenizer.apply_chat_template( + self.messages, add_generation_prompt=False, tokenize=True + ) + + if len(self.accumulated_tokens) == len(ground_truth): + return + + if self.sanity_check_mode == SanityCheckMode.STRICT: + diff = len(ground_truth) - len(self.accumulated_tokens) + raise ValueError( + f"Token count mismatch: {len(self.accumulated_tokens)} accumulated vs " + f"{len(ground_truth)} ground truth (diff: {diff}). " + f"This happens when chat template modifies history." + ) diff --git a/debug/truncation_reason_simplification.md b/debug/truncation_reason_simplification.md new file mode 100644 index 000000000..87c91d72d --- /dev/null +++ b/debug/truncation_reason_simplification.md @@ -0,0 +1,184 @@ +# TruncationReason Simplification + +**Date:** 2025-01-17 +**Change:** Simplified TruncationReason from dataclass to simple Enum + +--- + +## Before (Overcomplicated) + +```python +@dataclass +class TruncationReason: + type: str + details: str = "" + +# Usage +self.truncation_reason = TruncationReason( + type="generation_hit_max_tokens", + details=f"Response has {len(response_token_ids)} tokens, no EOS" +) + +# Checking +if episode.truncation_reason and episode.truncation_reason.type == "generation_hit_max_tokens": + continue +``` + +**Problems:** +- Verbose dataclass with type/details split +- Need to access `.type` attribute +- Details string is rarely used +- More complex than needed + +--- + +## After (Simple) + +```python +class TruncationReason(Enum): + """Reason for episode truncation.""" + + max_num_turns = "max_num_turns" + agent_max_length = "agent_max_length" # Agent generation hit max_tokens (no EOS) + tool_max_length = "tool_max_length" # Tool response too long + user_max_length = "user_max_length" # User message too long +``` + +### Usage + +```python +# Setting +self.truncation_reason = TruncationReason.agent_max_length + +# Checking +if episode.truncation_reason == TruncationReason.agent_max_length: + continue # Drop episodes with truncated agent responses +``` + +**Benefits:** +- ✅ Simple enum values +- ✅ Direct comparison: `==` instead of `.type ==` +- ✅ Clean: `TruncationReason.agent_max_length` instead of complex dataclass +- ✅ Type-safe: IDE autocomplete and type checking work perfectly + +--- + +## Enum Values + +| Value | Meaning | When Set | +|-------|---------|----------| +| `max_num_turns` | Hit maximum number of turns | User sets during rollout loop | +| `agent_max_length` | Agent response truncated (no EOS) | vLLM hits max_tokens, response has no EOS token | +| `tool_max_length` | Tool response too long | Tool output exceeds budget | +| `user_max_length` | User message too long | User message + overhead > budget, or initial messages > max_seq_len | + +--- + +## Code Changes + +### In TokenAccumulator + +**1. Initial messages too long:** +```python +# Before +self.truncation_reason = TruncationReason( + type="initial_messages_too_long", + details=f"{len(initial_tokens)} tokens > {max_seq_len} max_seq_len" +) + +# After +self.truncation_reason = TruncationReason.user_max_length +``` + +**2. Agent generation truncated:** +```python +# Before +self.truncation_reason = TruncationReason( + type="generation_hit_max_tokens", + details=f"Response has {len(response_token_ids)} tokens, no EOS" +) + +# After +self.truncation_reason = TruncationReason.agent_max_length +``` + +**3. User message truncated:** +```python +# Before +self.truncation_reason = TruncationReason( + type="user_message_length", + details=f"User message {len(user_message_tokens)} tokens..." +) + +# After +self.truncation_reason = TruncationReason.user_max_length +``` + +### In Tests + +```python +# Before +if acc.truncation_reason.type != "user_message_length": + print("ERROR") + +# After +if acc.truncation_reason != TruncationReason.user_max_length: + print("ERROR") +``` + +--- + +## Example Usage in Training Loop + +```python +for episode in episodes: + # Drop all truncated episodes + if episode.is_truncated: + continue + + # Or: Keep some truncations, drop others + if episode.truncation_reason == TruncationReason.agent_max_length: + continue # Drop agent truncations (bad quality) + + if episode.truncation_reason == TruncationReason.user_max_length: + continue # Drop user truncations (incomplete context) + + # max_num_turns might be OK to keep (episode completed normally) + train_on(episode) +``` + +--- + +## Migration + +**Breaking change:** Code that checks `truncation_reason.type` must be updated: + +```python +# Old code (breaks) +if episode.truncation_reason and episode.truncation_reason.type == "generation_hit_max_tokens": + ... + +# New code +if episode.truncation_reason == TruncationReason.agent_max_length: + ... +``` + +**Import change:** +```python +from token_accumulator_fn_v3 import TokenAccumulator, TruncationReason + +# Now TruncationReason is an Enum, not a dataclass +``` + +--- + +## Summary + +**Before:** Complex dataclass with type/details split +**After:** Simple enum with clean values + +Much cleaner! ✨ + +--- + +**End of Document** diff --git a/dummy.py b/dummy.py new file mode 100644 index 000000000..e6a185c76 --- /dev/null +++ b/dummy.py @@ -0,0 +1,103 @@ +#!/usr/bin/env python3 +""" +Test script to verify OpenSpiel metadata extraction is working. + +Usage: + python dummy.py +""" + +import sys +sys.path.insert(0, "/home/felipemello/OpenEnv/src") + +from envs.openspiel_env.server.openspiel_environment import OpenSpielEnvironment +from envs.openspiel_env.models import OpenSpielAction + +def test_direct_env(): + """Test using OpenSpielEnvironment directly (no HTTP server).""" + print("=" * 60) + print("TEST 1: Direct OpenSpielEnvironment (no server)") + print("=" * 60) + + env = OpenSpielEnvironment( + game_name="blackjack", + agent_player=0, + opponent_policy="random" + ) + + # Reset + obs = env.reset() + print(f"\n[DIRECT] Initial observation:") + print(f" legal_actions: {obs.legal_actions}") + print(f" metadata: {obs.metadata}") + print(f" done: {obs.done}") + + # Play one step + if not obs.done: + action_id = obs.legal_actions[0] + action = OpenSpielAction(action_id=action_id, game_name="blackjack") + obs = env.step(action) + print(f"\n[DIRECT] After step 1:") + print(f" legal_actions: {obs.legal_actions}") + print(f" metadata: {obs.metadata}") + print(f" done: {obs.done}") + + +def test_http_env(): + """Test using OpenSpielEnv via HTTP client.""" + print("\n" + "=" * 60) + print("TEST 2: OpenSpielEnv via HTTP (using server)") + print("=" * 60) + + from envs.openspiel_env import OpenSpielEnv + + env = OpenSpielEnv(base_url="http://localhost:9000") + # Bypass proxy + env._http.trust_env = False + + try: + # Reset + result = env.reset() + obs = result.observation + print(f"\n[HTTP] Initial observation:") + print(f" legal_actions: {obs.legal_actions}") + print(f" metadata: {obs.metadata}") + print(f" done: {obs.done}") + + # Play one step + if not obs.done: + action_id = obs.legal_actions[0] + action = OpenSpielAction(action_id=action_id, game_name="blackjack") + result = env.step(action) + obs = result.observation + print(f"\n[HTTP] After step 1:") + print(f" legal_actions: {obs.legal_actions}") + print(f" metadata: {obs.metadata}") + print(f" done: {obs.done}") + + env.close() + except Exception as e: + print(f"\n[HTTP ERROR] {type(e).__name__}: {e}") + import traceback + traceback.print_exc() + + +def main(): + print("\nTesting OpenSpiel metadata extraction...\n") + + # Test 1: Direct environment (should work with our fix) + test_direct_env() + + # Test 2: HTTP environment (depends on server having the fix) + test_http_env() + + print("\n" + "=" * 60) + print("COMPARISON:") + print("=" * 60) + print("If both tests show metadata with player_total and dealer_card,") + print("then the server is using the updated code.") + print("If only DIRECT test works, the server needs to be restarted.") + print("=" * 60) + + +if __name__ == "__main__": + main() diff --git a/out.txt b/out.txt new file mode 100644 index 000000000..6bd5b06f0 --- /dev/null +++ b/out.txt @@ -0,0 +1,426 @@ +Warning: setting HYPERACTOR_CODEC_MAX_FRAME_LENGTH since this needs to be set to enable large RPC calls via Monarch +INFO 11-17 21:07:37 [__init__.py:235] Automatically detected platform cuda. +Starting OpenSpiel server for game 'blackjack' on port 9000... +Using game string: blackjack +[SERVER] Starting uvicorn for game 'blackjack' on port 9000 +INFO: Started server process [2710960] +INFO: Waiting for application startup. +INFO: Application startup complete. +INFO: Uvicorn running on http://0.0.0.0:9000 (Press CTRL+C to quit) +INFO: 127.0.0.1:36624 - "GET /health HTTP/1.1" 200 OK +Waiting for OpenSpiel server to be ready... +[DEBUG] Health check attempt 1 failed: ConnectionError: HTTPConnectionPool(host='localhost', port=9000): Max retries exceeded with url: /health (Caused by NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused')) +[DEBUG] Health check attempt 2: status=200 +✓ OpenSpiel server ready (took 2s) +Launcher not provided, remote allocations will not work. +wandb: Currently logged in as: felipemello (cabernet-team) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin +wandb: setting up run yvzwcfys +wandb: Tracking run with wandb version 0.23.0 +wandb: Run data is saved locally in /home/felipemello/forge/wandb/run-20251117_210743-yvzwcfys +wandb: Run `wandb offline` to turn off syncing. +wandb: Syncing run denim-gorge-47 +wandb: ⭐️ View project at https://wandb.ai/cabernet-team/blackjack-grpo +wandb: 🚀 View run at https://wandb.ai/cabernet-team/blackjack-grpo/runs/yvzwcfys +wandb: Detected [openai] in use. +wandb: Use W&B Weave for improved LLM call tracing. Install Weave with `pip install weave` then add `import weave` to the top of your script. +wandb: For more information, check out the docs at: https://weave-docs.wandb.ai/ +Spawning actor EnvironmentActor +Spawning service Generator +Spawning actor TitanTrainer +Spawning actor ReplayBuffer +Spawning actor ComputeAdvantages +Spawning service ReferenceModel +EnvironmentActor initialized (model: Qwen/Qwen3-1.7B) +[TitanTrainer-0/1] 2025-11-17 21:07:54 INFO Compiling loss +[TitanTrainer-0/1] 2025-11-17 21:07:57 INFO Building 0-D device mesh with [], [] +[TitanTrainer-0/1] 2025-11-17 21:07:57 INFO [GC] Initial GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-17 21:07:58 INFO Total parameter count: dense 2,031,739,904, sparse 0, active 2,031,739,904 +[TitanTrainer-0/1] 2025-11-17 21:07:58 INFO Applied selective activation checkpointing to the model +NCCL version 2.27.5+cuda12.9 +[TitanTrainer-0/1] 2025-11-17 21:07:58 INFO Checkpointing active. Checkpoints will be loaded from and saved to ./checkpoint +[TitanTrainer-0/1] 2025-11-17 21:07:58 INFO Mixed precision training is handled by AMP +[TitanTrainer-0/1] 2025-11-17 21:07:58 INFO loading from HF safetensors from --checkpoint.initial_load_path: /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e +[TitanTrainer-0/1] 2025-11-17 21:07:58 INFO Loading the checkpoint from /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e. +[TitanTrainer-0/1] 2025-11-17 21:07:59 INFO [GC] GC collection for checkpoint loading. took 0.00 seconds +[TitanTrainer-0/1] 2025-11-17 21:07:59 INFO Finished loading the checkpoint in 0.84 seconds. +INFO 11-17 21:08:00 [__init__.py:235] Automatically detected platform cuda. +[ReferenceModel-0/1] 2025-11-17 21:08:01 INFO Building 0-D device mesh with [], [] +[ReferenceModel-0/1] 2025-11-17 21:08:01 INFO [GC] Initial GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-17 21:08:02 INFO Total parameter count: dense 2,031,739,904, sparse 0, active 2,031,739,904 +[ReferenceModel-0/1] 2025-11-17 21:08:02 INFO Applied selective activation checkpointing to the model +NCCL version 2.27.5+cuda12.9 +[ReferenceModel-0/1] 2025-11-17 21:08:02 INFO Checkpointing active. Checkpoints will be loaded from and saved to +[ReferenceModel-0/1] 2025-11-17 21:08:02 INFO Mixed precision training is handled by AMP +[ReferenceModel-0/1] 2025-11-17 21:08:02 INFO loading from HF safetensors from --checkpoint.initial_load_path: /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e +[ReferenceModel-0/1] 2025-11-17 21:08:02 INFO Loading the checkpoint from /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e. +[ReferenceModel-0/1] 2025-11-17 21:08:03 INFO [GC] GC collection for checkpoint loading. took 0.04 seconds +[ReferenceModel-0/1] 2025-11-17 21:08:03 INFO Finished loading the checkpoint in 0.87 seconds. +`torch_dtype` is deprecated! Use `dtype` instead! +INFO 11-17 21:08:08 [config.py:1604] Using max model len 40960 +INFO 11-17 21:08:08 [config.py:2434] Chunked prefill is enabled with max_num_batched_tokens=16384. +INFO 11-17 21:08:10 [__init__.py:235] Automatically detected platform cuda. +WARNING 11-17 21:08:12 [multiproc_worker_utils.py:307] Reducing Torch parallelism from 192 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. +[W1117 21:08:14.496738043 ProcessGroupNCCL.cpp:924] Warning: TORCH_NCCL_AVOID_RECORD_STREAMS is the default now, this environment variable is thus deprecated. (function operator()) +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +INFO 11-17 21:08:14 [parallel_state.py:1102] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 +WARNING 11-17 21:08:14 [topk_topp_sampler.py:59] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer. +INFO 11-17 21:08:14 [gpu_model_runner.py:1843] Starting to load model Qwen/Qwen3-1.7B... +INFO 11-17 21:08:15 [gpu_model_runner.py:1875] Loading model from scratch... +INFO 11-17 21:08:15 [cuda.py:290] Using Flash Attention backend on V1 engine. +INFO 11-17 21:08:16 [weight_utils.py:296] Using model weights format ['*.safetensors'] + Loading safetensors checkpoint shards: 0% Completed | 0/2 [00:00 +Okay, let's see. The user has a BlackJack hand and a dealer's visible card. But the hand and dealer are both unknown. The question is to outpu +[TokenAccumulator] Tokenization complete, got 660 tokens + +[do_single_rollout] Turn 1 + Remaining budget: 1328 + Current tokens: 717 + Max seq len: 2048 + Calling vLLM with max_tokens=1328 + vLLM returned 886 tokens + [DEBUG] About to get generator_version + [DEBUG] Got generator_version: 0 + [DEBUG] About to extract logprobs + [DEBUG] Got logprobs: False + [DEBUG] About to access response.text + [DEBUG] Got response.text, length: 3833 + [DEBUG] About to access response.token_ids as list + [DEBUG] Got response.token_ids, length: 886 + [DEBUG] About to call add_assistant_response +[TokenAccumulator] ===== ENTERED add_assistant_response ===== +[TokenAccumulator] About to tokenize assistant response +[TokenAccumulator] Response text length: 3833 chars +[TokenAccumulator] Response token_ids length: 886 tokens +[TokenAccumulator] First 150 chars: +Okay, let's see. The user has a BlackJack hand with a value of ?, and the dealer has a value of ?. I need to determine whether to hit or stand +[TokenAccumulator] Tokenization complete, got 890 tokens + +[do_single_rollout] Turn 1 + Remaining budget: 1098 + Current tokens: 947 + Max seq len: 2048 + Calling vLLM with max_tokens=1098 + vLLM returned 1146 tokens + [DEBUG] About to get generator_version + [DEBUG] Got generator_version: 0 + [DEBUG] About to extract logprobs + [DEBUG] Got logprobs: False + [DEBUG] About to access response.text + [DEBUG] Got response.text, length: 4868 + [DEBUG] About to access response.token_ids as list + [DEBUG] Got response.token_ids, length: 1146 + [DEBUG] About to call add_assistant_response +[TokenAccumulator] ===== ENTERED add_assistant_response ===== +[TokenAccumulator] About to tokenize assistant response +[TokenAccumulator] Response text length: 4868 chars +[TokenAccumulator] Response token_ids length: 1146 tokens +[TokenAccumulator] First 150 chars: +Okay, let's see. The user is playing BlackJack, and the current hand is ?, and the dealer is ?. I need to decide whether to hit or stand. But +[TokenAccumulator] Tokenization complete, got 1150 tokens + +[do_single_rollout] Turn 1 + Remaining budget: 838 + Current tokens: 1207 + Max seq len: 2048 + Calling vLLM with max_tokens=838 + vLLM returned 1179 tokens + [DEBUG] About to get generator_version + [DEBUG] Got generator_version: 0 + [DEBUG] About to extract logprobs + [DEBUG] Got logprobs: False + [DEBUG] About to access response.text + [DEBUG] Got response.text, length: 5011 + [DEBUG] About to access response.token_ids as list + [DEBUG] Got response.token_ids, length: 1179 + [DEBUG] About to call add_assistant_response +[TokenAccumulator] ===== ENTERED add_assistant_response ===== +[TokenAccumulator] About to tokenize assistant response +[TokenAccumulator] Response text length: 5011 chars +[TokenAccumulator] Response token_ids length: 1179 tokens +[TokenAccumulator] First 150 chars: +Okay, let's see. The user has a Blackjack hand and a dealer's visible card. But the hand and dealer are both unknown. The task is to determine +[TokenAccumulator] Tokenization complete, got 1183 tokens + +[do_single_rollout] Creating episode game_2_b619ed1f + Final tokens: 1229 + Final mask: 1229 + Final logprobs: 1229 + Is truncated: False + Truncation reason: None + Hit max turns: False + Max seq len: 2048 + vLLM returned 384 tokens + [DEBUG] About to get generator_version + [DEBUG] Got generator_version: 0 + [DEBUG] About to extract logprobs + [DEBUG] Got logprobs: False + [DEBUG] About to access response.text + [DEBUG] Got response.text, length: 1572 + [DEBUG] About to access response.token_ids as list + [DEBUG] Got response.token_ids, length: 384 + [DEBUG] About to call add_assistant_response +[TokenAccumulator] ===== ENTERED add_assistant_response ===== +[TokenAccumulator] About to tokenize assistant response +[TokenAccumulator] Response text length: 1572 chars +[TokenAccumulator] Response token_ids length: 384 tokens +[TokenAccumulator] First 150 chars: +Okay, let's see. The user is playing Blackjack, and their hand and the dealer's upcard are both unknown. The previous action was 'HIT', so the +[TokenAccumulator] Tokenization complete, got 388 tokens + +[do_single_rollout] Turn 2 + Remaining budget: 699 + Current tokens: 1346 + Max seq len: 2048 + Calling vLLM with max_tokens=699 + vLLM returned 815 tokens + [DEBUG] About to get generator_version + [DEBUG] Got generator_version: 0 + [DEBUG] About to extract logprobs + [DEBUG] Got logprobs: False + [DEBUG] About to access response.text + [DEBUG] Got response.text, length: 3396 + [DEBUG] About to access response.token_ids as list + [DEBUG] Got response.token_ids, length: 815 + [DEBUG] About to call add_assistant_response +[TokenAccumulator] ===== ENTERED add_assistant_response ===== +[TokenAccumulator] About to tokenize assistant response +[TokenAccumulator] Response text length: 3396 chars +[TokenAccumulator] Response token_ids length: 815 tokens +[TokenAccumulator] First 150 chars: +Okay, let's see. The user has a Black Jack hand and a dealer's visible card. The previous action was 'HIT', so I need to decide whether to hit +[TokenAccumulator] Tokenization complete, got 819 tokens + +[do_single_rollout] Creating episode game_0_6b7c6915 + Final tokens: 1536 + Final mask: 1536 + Final logprobs: 1536 + Is truncated: False + Truncation reason: None + Hit max turns: False + Max seq len: 2048 + vLLM returned 367 tokens + [DEBUG] About to get generator_version + [DEBUG] Got generator_version: 0 + [DEBUG] About to extract logprobs + [DEBUG] Got logprobs: False + [DEBUG] About to access response.text + [DEBUG] Got response.text, length: 1592 + [DEBUG] About to access response.token_ids as list + [DEBUG] Got response.token_ids, length: 367 + [DEBUG] About to call add_assistant_response +[TokenAccumulator] ===== ENTERED add_assistant_response ===== +[TokenAccumulator] About to tokenize assistant response +[TokenAccumulator] Response text length: 1592 chars +[TokenAccumulator] Response token_ids length: 367 tokens +[TokenAccumulator] First 150 chars: +Okay, let's see. The user is playing BlackJack, and the current hand is unknown, and the dealer's hand is also unknown. The previous action wa +[TokenAccumulator] Tokenization complete, got 371 tokens + +[do_single_rollout] Turn 2 + Remaining budget: 456 + Current tokens: 1589 + Max seq len: 2048 + Calling vLLM with max_tokens=456 + vLLM returned 615 tokensINFO: 127.0.0.1:43276 - "POST /step HTTP/1.1" 200 OK +/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/torch/cuda/memory.py:491: FutureWarning: torch.cuda.reset_max_memory_allocated now calls torch.cuda.reset_peak_memory_stats, which resets /all/ peak memory stats. + warnings.warn( +[ReferenceModel-0/1] 2025-11-17 21:09:07 CRITICAL Unhandled exception in actor endpoint +Traceback (most recent call last): + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/actor_mesh.py", line 935, in handle + result = await the_method(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/felipemello/forge/src/forge/actors/reference_model.py", line 191, in forward + logprobs = compute_logprobs(logits, input_ids[:, max_req_tokens:]) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/felipemello/forge/src/forge/util/ops.py", line 91, in compute_logprobs + logprobs = -F.cross_entropy( + ^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/torch/nn/functional.py", line 3458, in cross_entropy + return torch._C._nn.cross_entropy_loss( + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +ValueError: Expected input batch_size (7900) to match target batch_size (7904). + + [DEBUG] About to get generator_version + [DEBUG] Got generator_version: 0 + [DEBUG] About to extract logprobs + [DEBUG] Got logprobs: False + [DEBUG] About to access response.text + [DEBUG] Got response.text, length: 2594 + [DEBUG] About to access response.token_ids as list + [DEBUG] Got response.token_ids, length: 615 + [DEBUG] About to call add_assistant_response +[TokenAccumulator] ===== ENTERED add_assistant_response ===== +[TokenAccumulator] About to tokenize assistant response +[TokenAccumulator] Response text length: 2594 chars +[TokenAccumulator] Response token_ids length: 615 tokens +[TokenAccumulator] First 150 chars: +Okay, let's see. The user has been asking for HIT or STAND responses repeatedly. The initial hand and dealer are both unknown. Since the user +[TokenAccumulator] Tokenization complete, got 619 tokens + +[do_single_rollout] Turn 3 + Remaining budget: 69 + Current tokens: 1976 + Max seq len: 2048 + Calling vLLM with max_tokens=69 + vLLM returned 69 tokens + [DEBUG] About to get generator_version + [DEBUG] Got generator_version: 0 + [DEBUG] About to extract logprobs + [DEBUG] Got logprobs: False + [DEBUG] About to access response.text + [DEBUG] Got response.text, length: 296 + [DEBUG] About to access response.token_ids as list + [DEBUG] Got response.token_ids, length: 69 + [DEBUG] About to call add_assistant_response +[TokenAccumulator] ===== ENTERED add_assistant_response ===== + ❌ Generation failed, breaking + +[do_single_rollout] Creating episode game_1_3a7c28a0 + Final tokens: 1976 + Final mask: 1976 + Final logprobs: 1976 + Is truncated: True + Truncation reason: agent_too_long + Hit max turns: False + Max seq len: 2048 + vLLM returned 456 tokens + [DEBUG] About to get generator_version + [DEBUG] Got generator_version: 0 + [DEBUG] About to extract logprobs + [DEBUG] Got logprobs: False + [DEBUG] About to access response.text + [DEBUG] Got response.text, length: 2010 + [DEBUG] About to access response.token_ids as list + [DEBUG] Got response.token_ids, length: 456 + [DEBUG] About to call add_assistant_response +[TokenAccumulator] ===== ENTERED add_assistant_response ===== + ❌ Generation failed, breaking + +[do_single_rollout] Creating episode game_3_e56c36ae + Final tokens: 1589 + Final mask: 1589 + Final logprobs: 1589 + Is truncated: True + Truncation reason: agent_too_long + Hit max turns: False + Max seq len: 2048 + +[continuous_rollouts] Preparing ref_model input + Max episode length: 1976 + Max seq len config: 2048 + Episode 0: tokens=1536, truncated=False + Episode 1: tokens=1976, truncated=True + Episode 2: tokens=1229, truncated=False + Episode 3: tokens=1589, truncated=True + input_ids shape: torch.Size([4, 1976]) + Calling ref_model with max_req_tokens=0 +Got failure on replica 0. Error: +A remote actor call has failed. + Traceback of where the remote call failed (most recent call last): + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/actor_mesh.py", line 942, in handle + raise e + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/actor_mesh.py", line 935, in handle + result = await the_method(*args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/felipemello/forge/src/forge/actors/reference_model.py", line 191, in forward + logprobs = compute_logprobs(logits, input_ids[:, max_req_tokens:]) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/felipemello/forge/src/forge/util/ops.py", line 91, in compute_logprobs + logprobs = -F.cross_entropy( + ^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/torch/nn/functional.py", line 3458, in cross_entropy + return torch._C._nn.cross_entropy_loss( + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +ValueError: Expected input batch_size (7900) to match target batch_size (7904). + +Unhandled mesh failure, crashing! MeshFailure(rank=0, event=unix:@QqPD2GAuEO4qeCm06gIhOjIG,ref_model_0_0_1r1Tp9v3X8Bo,agent[0]: failed: actor mesh is stopped due to proc mesh shutdown on: ref_model_0_1mKfw1oCYr8b, rank 0 is in state Stopped at 2025-11-17 21:09:11.061809900 -08:00) +[-]E1117 21:09:11.062528 2708139 monarch_hyperactor/src/v1/actor_mesh.rs:258] unhandled event reached unhandled_fault_hook: MeshFailure(rank=0, event=unix:@QqPD2GAuEO4qeCm06gIhOjIG,ref_model_0_0_1r1Tp9v3X8Bo,agent[0]: failed: actor mesh is stopped due to proc mesh shutdown on: ref_model_0_1mKfw1oCYr8b, rank 0 is in state Stopped at 2025-11-17 21:09:11.061809900 -08:00), which is exiting the process with code 1 diff --git a/out21.txt b/out21.txt new file mode 100644 index 000000000..021e6fbc0 --- /dev/null +++ b/out21.txt @@ -0,0 +1,273 @@ +Warning: setting HYPERACTOR_CODEC_MAX_FRAME_LENGTH since this needs to be set to enable large RPC calls via Monarch +INFO 11-17 20:21:45 [__init__.py:235] Automatically detected platform cuda. +Model: Qwen/Qwen3-1.7B +EOS token: <|im_end|> (id=151645) +Spawning service Generator +Launcher not provided, remote allocations will not work. +INFO 11-17 20:21:55 [__init__.py:235] Automatically detected platform cuda. +`torch_dtype` is deprecated! Use `dtype` instead! +INFO 11-17 20:22:02 [config.py:1604] Using max model len 2048 +INFO 11-17 20:22:03 [config.py:2434] Chunked prefill is enabled with max_num_batched_tokens=16384. +INFO 11-17 20:22:05 [__init__.py:235] Automatically detected platform cuda. +WARNING 11-17 20:22:06 [multiproc_worker_utils.py:307] Reducing Torch parallelism from 192 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. +[W1117 20:22:10.473923048 ProcessGroupNCCL.cpp:924] Warning: TORCH_NCCL_AVOID_RECORD_STREAMS is the default now, this environment variable is thus deprecated. (function operator()) +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +INFO 11-17 20:22:11 [parallel_state.py:1102] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 +WARNING 11-17 20:22:11 [topk_topp_sampler.py:59] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer. +INFO 11-17 20:22:11 [gpu_model_runner.py:1843] Starting to load model Qwen/Qwen3-1.7B... +INFO 11-17 20:22:11 [gpu_model_runner.py:1875] Loading model from scratch... +INFO 11-17 20:22:11 [cuda.py:290] Using Flash Attention backend on V1 engine. +INFO 11-17 20:22:11 [weight_utils.py:296] Using model weights format ['*.safetensors'] + Loading safetensors checkpoint shards: 0% Completed | 0/2 [00:00 user -> assistant (COMPLETE) +===== +Response text: '\nOkay, the user said, "Just reply to me with \'hi\'. Do not think about it." So I need to respond with \'hi\' without any additional thoughts.\n\nFirst, I should confirm that I understand the instruction. The user wants a simple reply. Maybe they\'re testing if I follow instructions or want a quick response. I should keep it straightforward.\n\nI need to make sure there\'s no extra text. Just the word \'hi\'. No explanations or anything else. Let me check the previous messages to see if there\'s any context, but since the user didn\'t provide any, I\'ll go with the basic response.\n\nAlright, the reply is \'hi\'.\n\n\nhi' +Stop reason: stop +Last token == EOS: True + +Episode accepted: True, Is truncated: False, Truncation reason: None + +----- +DECODED CONVERSATION: +----- +<|im_start|>system +You are a helpful assistant.<|im_end|> +<|im_start|>user +Just reply to me with 'hi'. Do not think about it.<|im_end|> +<|im_start|>assistant + +Okay, the user said, "Just reply to me with 'hi'. Do not think about it." So I need to respond with 'hi' without any additional thoughts. + +First, I should confirm that I understand the instruction. The user wants a simple reply. Maybe they're testing if I follow instructions or want a quick response. I should keep it straightforward. + +I need to make sure there's no extra text. Just the word 'hi'. No explanations or anything else. Let me check the previous messages to see if there's any context, but since the user didn't provide any, I'll go with the basic response. + +Alright, the reply is 'hi'. + + +hi<|im_end|> + +----- +Total tokens: 175 +✅ FINALIZE PASSED + +===== +TEST 2: prompt -> user -> assistant-truncated (DROPPED) +===== +Response text: '' +Stop reason: length +Last token == EOS: False + +Episode accepted: False, Is truncated: True, Truncation reason: TruncationReason.AGENT_TOO_LONG +Remaining budget after truncation: 2015 +Current tokens: 30, max_seq_len: 2048 +DECODED CONVERSATION (what was accumulated BEFORE drop): +----- <|im_start|>system +You are a helpful assistant.<|im_end|> +<|im_start|>user +Just reply to me with 'hi'. Do not think about it.<|im_end|> + ----- +✅ PASS: Total tokens in accumulator: 30 (only initial messages) + +===== +TEST 3: prompt -> user -> assistant -> user (COMPLETE MULTI-TURN) +===== + +Turn 1: + Response: '\nOkay, the user said, "Just reply to me with \'hi\'. Do not think about it." So I need to respond with \'hi\' without any additional thoughts.\n\nFirst, I should confirm that I understand the instruction. The user wants a simple reply. Maybe they\'re testing if I follow instructions or want a quick response. I should keep it straightforward.\n\nI need to make sure there\'s no extra text. Just the word \'hi\'. No explanations or anything else. Let me check the previous messages to see if there\'s any context, but since the user didn\'t provide any, I\'ll go with the basic response.\n\nAlright, the reply is \'hi\'.\n\n\nhi' + Tokens: 141 + Stop reason: stop + Last token == EOS: True + +----- +DECODED CONVERSATION (after turn 1 attempt): +----- +<|im_start|>system +You are a helpful assistant.<|im_end|> +<|im_start|>user +Just reply to me with 'hi'. Do not think about it.<|im_end|> +<|im_start|>assistant + +Okay, the user said, "Just reply to me with 'hi'. Do not think about it." So I need to respond with 'hi' without any additional thoughts. + +First, I should confirm that I understand the instruction. The user wants a simple reply. Maybe they're testing if I follow instructions or want a quick response. I should keep it straightforward. + +I need to make sure there's no extra text. Just the word 'hi'. No explanations or anything else. Let me check the previous messages to see if there's any context, but since the user didn't provide any, I'll go with the basic response. + +Alright, the reply is 'hi'. + + +hi<|im_end|> + +----- + +Turn 2: + +FINAL DECODED CONVERSATION: +----- +<|im_start|>system +You are a helpful assistant.<|im_end|> +<|im_start|>user +Just reply to me with 'hi'. Do not think about it.<|im_end|> +<|im_start|>assistant + +Okay, the user said, "Just reply to me with 'hi'. Do not think about it." So I need to respond with 'hi' without any additional thoughts. + +First, I should confirm that I understand the instruction. The user wants a simple reply. Maybe they're testing if I follow instructions or want a quick response. I should keep it straightforward. + +I need to make sure there's no extra text. Just the word 'hi'. No explanations or anything else. Let me check the previous messages to see if there's any context, but since the user didn't provide any, I'll go with the basic response. + +Alright, the reply is 'hi'. + + +hi<|im_end|> +<|im_start|>user +Now say 'bye'.<|im_end|> + +----- + Total tokens in accumulator: 185 +✅ Thinking tags are balanced (1 pairs) + +❌ ERRORS FOUND: + - FINALIZE FAILED: Token count mismatch: 185 accumulated vs 46 ground truth (diff: -139). This happens when chat template modifies history. + +===== +TEST 4: prompt -> user -> assistant -> user-truncated (DROPPED) +===== + +Turn 1 + Remaining budget before generation: 147 + Response: '\nOkay, the user said, "Just reply to me with \'hi\'. Do not think about it." So I need to respond with \'hi\' without any additional thoughts.\n\nFirst, I should confirm that I understand the instruction. The user wants a simple reply. Maybe they\'re testing if I follow instructions or want a quick response. I should keep it straightforward.\n\nI need to make sure there\'s no extra text. Just the word \'hi\'. No explanations or anything else. Let me check the previous messages to see if there\'s any context, but since the user didn\'t provide any, I\'ll go with the basic response.\n\nAlright, the reply is \'hi\'.\n\n\nhi' + Tokens: 141 + Stop reason: stop + Last token == EOS: True +TOTAL TOKENS IN ACCUMULATOR: 175 +get_remaining_budget: 2 +max_seq_len: 180 + +User message accepted: False, Is truncated: True, Truncation reason: TruncationReason.USER_TOO_LONG +Remaining budget after user truncation: 0 +Current tokens: 177, max_seq_len: 180 + +DECODED CONVERSATION (what was accumulated before/during truncation): +<|im_start|>system +You are a helpful assistant.<|im_end|> +<|im_start|>user +Just reply to me with 'hi'. Do not think about it.<|im_end|> +<|im_start|>assistant + +Okay, the user said, "Just reply to me with 'hi'. Do not think about it." So I need to respond with 'hi' without any additional thoughts. + +First, I should confirm that I understand the instruction. The user wants a simple reply. Maybe they're testing if I follow instructions or want a quick response. I should keep it straightforward. + +I need to make sure there's no extra text. Just the word 'hi'. No explanations or anything else. Let me check the previous messages to see if there's any context, but since the user didn't provide any, I'll go with the basic response. + +Alright, the reply is 'hi'. + + +hi<|im_end|> +<|im_start|>user +----- + Total tokens in accumulator: 177 +✅ PASS: Episode correctly marked as truncated +✅ PASS: Budget respected (177 <= 180) + +===== +TEST 5: Initial messages > max_seq_len +===== +Initial tokens: 50, max_seq_len: 50 +is_truncated: True +truncation_reason: TruncationReason.USER_TOO_LONG +Remaining budget: 0 + +DECODED CONVERSATION: +----- +<|im_start|>system +You are helpful. You are helpful. You are helpful. You are helpful. You are helpful. You are helpful. You are helpful. You are helpful. You are helpful. You are helpful. You are helpful. You are helpful +----- +✅ PASS: Initial messages correctly truncated + Note: Remaining budget = 0 (may be >0 due to overhead calculation) + +===== +TEST 6: Add user message with budget=0 +===== +Initial: 100 tokens, budget: 0 +After add_user: 100 tokens +success: False, is_truncated: True +Remaining budget after attempt: 0 + +DECODED CONVERSATION: +----- +<|im_start|>system +You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.YouINFO 11-17 20:22:42 [__init__.py:235] Automatically detected platform cuda. + +----- +✅ PASS: User message correctly rejected/truncated with zero budget + +===== +TEST 7: Add assistant message with budget=0 +===== +Initial: 100 tokens, budget: 0 +After add_assistant: 100 tokens +success: False +Remaining budget after attempt: 0 + +DECODED CONVERSATION: +----- +<|im_start|>system +You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You +----- +✅ PASS: Assistant message handled correctly with zero budget + +===== +SUMMARY +===== +✅ PASS: Test 1 (complete) +✅ PASS: Test 2 (truncated-drop) +❌ FAIL: Test 3 (multi-turn) +✅ PASS: Test 4 (multi-turn-truncated-drop) +✅ PASS: Test 5 (initial-too-long) +✅ PASS: Test 6 (zero-budget-user) +✅ PASS: Test 7 (zero-budget-assistant) + +===== +❌❌❌ SOME TESTS FAILED ❌❌❌ + +Please check the output above for details +===== diff --git a/test_minimal_truncation.py b/test_minimal_truncation.py new file mode 100644 index 000000000..d3a5d273a --- /dev/null +++ b/test_minimal_truncation.py @@ -0,0 +1,262 @@ +#!/usr/bin/env python3 +""" +Minimal test to verify v9 fix for Qwen think tags. + +Tests 4 scenarios: +1. prompt -> user -> assistant (complete) +2. prompt -> user -> assistant-truncated +3. prompt -> user -> assistant -> user (complete multi-turn) +4. prompt -> user -> assistant-truncated -> user-truncated +""" + +import sys +sys.path.insert(0, "/home/felipemello/forge") + +from transformers import AutoTokenizer + + +class TokenAccumulator: + """Minimal token accumulator using direct token extraction (v9 approach).""" + + def __init__(self, tokenizer, system_prompt: str): + self.tokenizer = tokenizer + self.eos_token_id = tokenizer.eos_token_id + + # Pre-compute role headers/footers for assistant + self.role_header, self.role_footer = self._compute_role_tokens() + + # Initialize with system message + self.messages = [{"role": "system", "content": system_prompt}] + self.all_tokens = tokenizer.apply_chat_template( + self.messages, add_generation_prompt=False, tokenize=True + ) + + def _compute_role_tokens(self): + """Pre-compute assistant role header and footer tokens.""" + # Use complete think tags to avoid auto-wrapper + base = [{"role": "system", "content": ""}, {"role": "user", "content": ""}] + with_assistant = base + [{"role": "assistant", "content": "X"}] + + base_tokens = self.tokenizer.apply_chat_template(base, add_generation_prompt=False, tokenize=True) + full_tokens = self.tokenizer.apply_chat_template(with_assistant, add_generation_prompt=False, tokenize=True) + + # Extract assistant portion + assistant_full = full_tokens[len(base_tokens):] + + # Content tokens + content_tokens = self.tokenizer.encode("X", add_special_tokens=False) + + # Find content position in assistant_full + for i in range(len(assistant_full) - len(content_tokens) + 1): + if assistant_full[i:i+len(content_tokens)] == content_tokens: + header = assistant_full[:i] + footer = assistant_full[i+len(content_tokens):] + return header, footer + + # Fallback: assume last token is footer (eos) + return assistant_full[:-1], assistant_full[-1:] + + def add_user_message(self, content: str): + """Add user message using prefix matching.""" + self.messages.append({"role": "user", "content": content}) + + # Tokenize to get new tokens + new_tokens = self.tokenizer.apply_chat_template( + self.messages, add_generation_prompt=False, tokenize=True + ) + + # Extract delta + delta = new_tokens[len(self.all_tokens):] + self.all_tokens.extend(delta) + + def add_assistant_response(self, content_tokens: list[int], text: str): + """ + Add assistant response using DIRECT tokens (v9 approach). + + Args: + content_tokens: Raw tokens from vLLM (content only, no role headers) + text: Decoded text (for message log) + """ + # Check if truncated (last token != eos) + is_truncated = len(content_tokens) > 0 and content_tokens[-1] != self.eos_token_id + + # Combine: header + content + footer + # BUT if truncated, don't add footer (incomplete response) + if is_truncated: + assistant_tokens = self.role_header + content_tokens + else: + # Remove eos from content if present (footer already has it) + if content_tokens and content_tokens[-1] == self.eos_token_id: + content_tokens = content_tokens[:-1] + assistant_tokens = self.role_header + content_tokens + self.role_footer + + # Accumulate + self.all_tokens.extend(assistant_tokens) + + # Add to messages + self.messages.append({"role": "assistant", "content": text}) + + return is_truncated + + def validate(self): + """Compare accumulated tokens vs ground truth.""" + ground_truth = self.tokenizer.apply_chat_template( + self.messages, add_generation_prompt=False, tokenize=True + ) + + match = self.all_tokens == ground_truth + + if match: + print(f" ✅ MATCH - {len(self.all_tokens)} tokens") + else: + print(f" ❌ MISMATCH") + print(f" Accumulated: {len(self.all_tokens)} tokens") + print(f" Ground truth: {len(ground_truth)} tokens") + print(f" Diff: {len(ground_truth) - len(self.all_tokens)}") + + # Find first difference + for i in range(min(len(self.all_tokens), len(ground_truth))): + if self.all_tokens[i] != ground_truth[i]: + print(f" First diff at position {i}:") + print(f" Got: {self.all_tokens[max(0,i-3):i+5]}") + print(f" Exp: {ground_truth[max(0,i-3):i+5]}") + break + + return match + + +def simulate_vllm_response(tokenizer, content: str, truncate_at: int = None): + """ + Simulate vLLM response by encoding content. + + Args: + content: Response text + truncate_at: If set, truncate tokens at this position + """ + tokens = tokenizer.encode(content, add_special_tokens=False) + + if truncate_at and truncate_at < len(tokens): + tokens = tokens[:truncate_at] + + return tokens, tokenizer.decode(tokens) + + +def main(): + # Load tokenizer + model_path = "Qwen/Qwen3-1.7B" + tokenizer = AutoTokenizer.from_pretrained(model_path, local_files_only=True) + + print(f"Model: {model_path}") + print(f"EOS token: {tokenizer.eos_token} (id={tokenizer.eos_token_id})\n") + print("=" * 80) + + # Test 1: Complete single-turn + print("\nTEST 1: prompt -> user -> assistant (COMPLETE)") + print("-" * 80) + acc = TokenAccumulator(tokenizer, "You are a helpful assistant.") + acc.add_user_message("Hand: 15, Dealer: 10") + + # Simulate complete response + content_tokens, content_text = simulate_vllm_response( + tokenizer, + f"Let me think...\n\nHIT{tokenizer.eos_token}" + ) + print(f" Content tokens: {len(content_tokens)}") + print(f" Last token == eos: {content_tokens[-1] == tokenizer.eos_token_id}") + + is_truncated = acc.add_assistant_response(content_tokens, content_text) + print(f" Is truncated: {is_truncated}") + acc.validate() + + # Test 2: Truncated single-turn + print("\nTEST 2: prompt -> user -> assistant-truncated") + print("-" * 80) + acc2 = TokenAccumulator(tokenizer, "You are a helpful assistant.") + acc2.add_user_message("Hand: 15, Dealer: 10") + + # Simulate truncated response (incomplete think tag) + content_tokens, content_text = simulate_vllm_response( + tokenizer, + "Let me think about this carefully...", + truncate_at=10 # Truncate after 10 tokens + ) + print(f" Content tokens: {len(content_tokens)}") + print(f" Content text: {repr(content_text)}") + print(f" Last token == eos: {content_tokens[-1] == tokenizer.eos_token_id}") + + is_truncated = acc2.add_assistant_response(content_tokens, content_text) + print(f" Is truncated: {is_truncated}") + acc2.validate() + + # Check for duplicate think tags in decoded output + decoded = tokenizer.decode(acc2.all_tokens) + has_duplicates = decoded.count("") > 1 + print(f" Duplicate tags: {has_duplicates}") + if has_duplicates: + print(f" ❌ FOUND DUPLICATES!") + print(f" Decoded:\n{decoded}") + + # Test 3: Complete multi-turn + print("\nTEST 3: prompt -> user -> assistant -> user (COMPLETE MULTI-TURN)") + print("-" * 80) + acc3 = TokenAccumulator(tokenizer, "You are a helpful assistant.") + acc3.add_user_message("Hand: 15, Dealer: 10") + + content_tokens, content_text = simulate_vllm_response( + tokenizer, + f"Thinking...\n\nHIT{tokenizer.eos_token}" + ) + acc3.add_assistant_response(content_tokens, content_text) + + # Add second user message + acc3.add_user_message("Hand: 16, Dealer: 10") + print(f" After 2 turns: {len(acc3.all_tokens)} tokens") + acc3.validate() + + # Test 4: Truncated multi-turn + print("\nTEST 4: prompt -> user -> assistant-truncated -> user-truncated") + print("-" * 80) + acc4 = TokenAccumulator(tokenizer, "You are a helpful assistant.") + acc4.add_user_message("Hand: 15, Dealer: 10") + + # First response truncated + content_tokens, content_text = simulate_vllm_response( + tokenizer, + "Let me", + truncate_at=5 + ) + is_truncated = acc4.add_assistant_response(content_tokens, content_text) + print(f" Turn 1 truncated: {is_truncated}") + + # Try to add another user message (would be rejected in real code) + acc4.add_user_message("Hand: 16, Dealer: 10") + print(f" After truncated multi-turn: {len(acc4.all_tokens)} tokens") + acc4.validate() + + # Check for duplicates + decoded = tokenizer.decode(acc4.all_tokens) + has_duplicates = decoded.count("") > 1 + print(f" Duplicate tags: {has_duplicates}") + if has_duplicates: + print(f" ❌ FOUND DUPLICATES!") + # Show where duplicates appear + lines = decoded.split('\n') + for i, line in enumerate(lines): + if '' in line or '' in line: + print(f" Line {i}: {repr(line)}") + + print("\n" + "=" * 80) + print("SUMMARY") + print("=" * 80) + print("The v9 fix (direct token extraction) should:") + print(" 1. ✅ Match ground truth for complete responses") + print(" 2. ❌ May mismatch for truncated (incomplete think tags)") + print(" 3. ✅ No duplicate tags if using direct tokens correctly") + print("\nIf we DROP truncated episodes (like Tinker):") + print(" - Only test 1 and 3 matter (complete responses)") + print(" - Tests 2 and 4 would be discarded anyway") + print(" - Simplifies logic: no need to handle incomplete tags!") + + +if __name__ == "__main__": + main() diff --git a/test_simple_reconstruction.py b/test_simple_reconstruction.py new file mode 100644 index 000000000..d7b4f0173 --- /dev/null +++ b/test_simple_reconstruction.py @@ -0,0 +1,158 @@ +#!/usr/bin/env python3 +""" +Simple test: Reconstruct conversation using vLLM tokens directly. +No dummy messages needed! +""" + +import asyncio +import sys + +from transformers import AutoTokenizer + +sys.path.insert(0, "/home/felipemello/forge") + +from forge.actors.generator import Generator +from vllm.engine.arg_utils import EngineArgs +from vllm.sampling_params import SamplingParams + + +async def main(): + # Load tokenizer + model_path = "Qwen/Qwen3-1.7B" + tokenizer = AutoTokenizer.from_pretrained(model_path, local_files_only=True) + tokenizer.enable_thinking = ( + True # CRITICAL: Prevent auto-wrapper in generation prompt + ) + + print(f"Model: {model_path}") + print(f"EOS token: {tokenizer.eos_token} (id={tokenizer.eos_token_id})\n") + + # Setup generator + engine_args = EngineArgs( + model=model_path, + tensor_parallel_size=1, + max_model_len=2048, + enable_prefix_caching=True, + ) + + sampling_params = SamplingParams( + temperature=0.7, + top_p=0.9, + max_tokens=100, + logprobs=1, + ) + + generator = await Generator.options( + procs=1, + num_replicas=1, + with_gpus=True, + ).as_service( + engine_args=engine_args, + sampling_params=sampling_params, + ) + + print("✅ Generator ready\n") + + # Build conversation + messages = [ + { + "role": "system", + "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", + }, + {"role": "user", "content": "Hand: 15, Dealer: 10"}, + ] + + # Generate prompt with enable_thinking=True + prompt_text = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=False, + enable_thinking=True, # No auto-wrapper! + ) + + print("=" * 80) + print("GENERATION") + print("=" * 80) + print(f"\nPrompt text:\n{repr(prompt_text)}\n") + + # Generate + completions = await generator.generate.route( + prompt_text, sampling_params=sampling_params + ) + completion = completions[0] + + print(f"Response text:\n{repr(completion.text)}\n") + print(f"Stop reason: {completion.stop_reason}") + + # Get tokens + prompt_ids = completion.prompt_ids.tolist() + token_ids = completion.token_ids.tolist() + + print(f"\nprompt_ids length: {len(prompt_ids)}") + print(f"token_ids length: {len(token_ids)}") + + # Check if truncated + is_truncated = len(token_ids) > 0 and token_ids[-1] != tokenizer.eos_token_id + print(f"Is truncated: {is_truncated}") + + print("\n" + "=" * 80) + print("RECONSTRUCTION (Simple Approach)") + print("=" * 80) + + # Reconstruct: prompt_ids + token_ids (+ EOS if truncated) + if is_truncated: + print("\n✅ Truncated response - adding EOS") + full_conversation = prompt_ids + token_ids + [tokenizer.eos_token_id] + else: + print("\n✅ Complete response - EOS already included") + full_conversation = prompt_ids + token_ids + + print(f"\nFull conversation length: {len(full_conversation)}") + + # Decode + decoded_full = tokenizer.decode(full_conversation) + print(f"\nDecoded conversation:\n{decoded_full}") + + # Verify + messages_with_response = messages + [ + {"role": "assistant", "content": completion.text} + ] + expected_tokens = tokenizer.apply_chat_template( + messages_with_response, + add_generation_prompt=False, + tokenize=True, + enable_thinking=True, + ) + + print("\n" + "=" * 80) + print("VERIFICATION") + print("=" * 80) + print(f"\nReconstructed length: {len(full_conversation)}") + print(f"Expected length: {len(expected_tokens)}") + + if full_conversation == expected_tokens: + print("\n✅✅✅ PERFECT MATCH!") + print("✅ No dummy messages needed!") + print("✅ Just use: prompt_ids + token_ids (+ EOS if truncated)") + else: + print("\n❌ MISMATCH") + # Find first difference + for i in range(min(len(full_conversation), len(expected_tokens))): + if full_conversation[i] != expected_tokens[i]: + print(f"\nFirst diff at position {i}:") + print(f" Reconstructed: {full_conversation[max(0, i-5):i+10]}") + print(f" Expected: {expected_tokens[max(0, i-5):i+10]}") + break + + if len(full_conversation) != len(expected_tokens): + print( + f"\nLength mismatch: {abs(len(full_conversation) - len(expected_tokens))} tokens" + ) + + # Cleanup + await generator.shutdown() + print("\n✅ Done") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/test_simple_vllm_v2.py b/test_simple_vllm_v2.py new file mode 100644 index 000000000..a5137cc4e --- /dev/null +++ b/test_simple_vllm_v2.py @@ -0,0 +1,1213 @@ +""" +Multi-turn token accumulation with BASE anchor pattern. + +Features: +- BASE anchor: Tokenize BASE + 1 message (O(N) instead of O(N²)) +- Automatic role headers: Delta extraction includes chat template formatting +- Immediate env obs accumulation +- Finalize validation: Detects tokenization mismatches +- Configurable sanity check modes + +Test cases: +1. Normal rollout (no truncation) +2. vLLM truncation (generation hits max_tokens) +3. Env observation truncation (adding env obs exceeds max_seq_len) +4. Early exit (initial prompt already exceeds max_seq_len) +5. Long env observation (truncate mid-content) +""" + +from enum import Enum +from functools import lru_cache + +import torch +from vllm import LLM, SamplingParams +from vllm.transformers_utils.tokenizer import get_tokenizer + + +def test_normal_rollout(llm, tokenizer, max_seq_len: int, max_turns: int): + """Test rollout with NO truncation (normal case)""" + + print("\n" + "=" * 80) + print("TEST CASE 1: NORMAL ROLLOUT (NO TRUNCATION)") + print("=" * 80) + + messages = [ + { + "role": "system", + "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", + } + ] + + accumulator = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_seq_len=max_seq_len, + eos_token_id=tokenizer.eos_token_id, + sanity_check_mode=SanityCheckMode.STRICT, + ) + + accumulator.add_user_message("Hand: 15, Dealer: 10", check_budget=False) + + sampling_params = SamplingParams( + temperature=0.8, + max_tokens=50, + logprobs=1, + ) + + for turn in range(max_turns): + print(f"\n{'='*60}") + print(f"TURN {turn + 1}") + print(f"{'='*60}") + + remaining = accumulator.get_remaining_budget() + + print(f"\n[Budget Check]") + print(f" Current tokens: {len(accumulator.all_tokens)}") + print(f" Assistant overhead: {accumulator.assistant_overhead}") + print(f" Max seq len: {max_seq_len}") + print(f" Remaining: {remaining}") + + if remaining <= 0: + print(f" ❌ Out of budget!") + break + + prompt_text = accumulator.format_prompt() + + print(f"\n[Generation]") + print(f" Generating...") + + sampling_params.max_tokens = min(remaining, 50) + outputs = llm.generate([prompt_text], sampling_params) + output = outputs[0].outputs[0] + + response_text = output.text + response_tokens = output.token_ids + + response_logprobs = None + if output.logprobs is not None: + response_logprobs = [ + lp[token_id] for lp, token_id in zip(output.logprobs, response_tokens) + ] + + print(f" Response: '{response_text}'") + print(f" Response token_ids: {len(response_tokens)} tokens (content only)") + print(f" Stop reason: {output.stop_reason}") + + success = accumulator.add_assistant_response( + response_text=response_text, + response_token_ids=response_tokens, + response_logprobs=response_logprobs, + ) + + ground_truth_before = tokenizer.apply_chat_template( + accumulator.messages[:-1], add_generation_prompt=False, tokenize=True + ) + ground_truth_after = tokenizer.apply_chat_template( + accumulator.messages, add_generation_prompt=False, tokenize=True + ) + assistant_tokens_added = len(ground_truth_after) - len(ground_truth_before) + + print(f" Assistant tokens added: {assistant_tokens_added}") + print(f" Total tokens now: {len(accumulator.all_tokens)}") + + if success: + print(f" ✅ Generation complete (ends with eos)") + else: + print(f" ⚠️ Generation TRUNCATED") + + print(f"\n[Validation]") + print(f" all_tokens: {len(accumulator.all_tokens)}") + ground_truth = tokenizer.apply_chat_template( + accumulator.messages, add_generation_prompt=False, tokenize=True + ) + print(f" ground_truth: {len(ground_truth)}") + if len(accumulator.all_tokens) == len(ground_truth): + print(f" ✅ PERFECT MATCH!") + else: + print(f" ❌ MISMATCH") + + if not success: + print(f"\n[Episode Truncated]") + break + + game_done = turn >= 2 + if game_done: + print(f"\n[Game Done]") + break + + env_obs = f"Hand: {16 + turn}, Dealer: 10" + print(f"\n[Env Observation]") + print(f" Observation: '{env_obs}'") + + success = accumulator.add_user_message(env_obs, check_budget=True) + + if success: + print(f" ✅ Env obs added successfully") + else: + print(f" ⚠️ Env obs would exceed budget - breaking") + break + + print(f"\n{'='*60}") + print(f"FINAL VALIDATION") + print(f"{'='*60}") + + final_ground_truth = tokenizer.apply_chat_template( + accumulator.messages, add_generation_prompt=False, tokenize=True + ) + + print(f"all_tokens: {len(accumulator.all_tokens)}") + print(f"ground_truth: {len(final_ground_truth)}") + + if len(accumulator.all_tokens) == len(final_ground_truth): + print(f"✅ ✅ ✅ PERFECT MATCH! ✅ ✅ ✅") + else: + print(f"❌ MISMATCH") + print( + f"Difference: {len(final_ground_truth) - len(accumulator.all_tokens)} tokens" + ) + + print(f"\n{'='*60}") + print(f"DECODED CONVERSATION") + print(f"{'='*60}") + decoded = tokenizer.decode(accumulator.all_tokens) + print(decoded) + + print(f"\n{'='*60}") + print("SUMMARY") + print(f"{'='*60}") + print(f"Total tokens: {len(accumulator.all_tokens)}") + print(f"Trainable tokens (mask=1): {sum(accumulator.response_mask)}") + print( + f"Non-trainable tokens (mask=0): {len(accumulator.all_tokens) - sum(accumulator.response_mask)}" + ) + print( + f"Turns completed: {sum(1 for m in accumulator.messages if m['role'] == 'assistant')}" + ) + print(f"Response mask: {accumulator.response_mask}") + + print(f"\n{'='*60}") + print("FINALIZE VALIDATION (VERL pattern)") + print(f"{'='*60}") + if accumulator.finalize(): + print("✅ FINALIZE PASSED - BASE anchor accumulation matches ground truth!") + else: + print("⚠️ FINALIZE WARNING - see details above") + + return accumulator.all_tokens, accumulator.response_mask, accumulator.messages + + +def test_vllm_truncation(llm, tokenizer): + """Test case: vLLM generation hits max_tokens (stop_reason='length')""" + + print("\n" + "=" * 80) + print("TEST CASE 2: vLLM TRUNCATION (generation hits max_tokens)") + print("=" * 80) + print("Setting max_tokens=1 to force mid-word truncation\n") + + messages = [ + { + "role": "system", + "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", + } + ] + + accumulator = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_seq_len=2048, + eos_token_id=tokenizer.eos_token_id, + sanity_check_mode=SanityCheckMode.STRICT, + ) + + accumulator.add_user_message("Hand: 15, Dealer: 10", check_budget=False) + + sampling_params = SamplingParams(temperature=0.8, max_tokens=1, logprobs=1) + + max_turns = 3 + + for turn in range(max_turns): + print(f"\n{'='*60}") + print(f"TURN {turn + 1}") + print(f"{'='*60}") + + remaining = accumulator.get_remaining_budget() + print(f"\n[Budget Check]") + print(f" Remaining: {remaining}") + + if remaining <= 0: + break + + prompt_text = accumulator.format_prompt() + + print(f"\n[Generation]") + print( + f" Generating with max_tokens={sampling_params.max_tokens} (VERY LOW - will truncate)..." + ) + + outputs = llm.generate([prompt_text], sampling_params) + output = outputs[0].outputs[0] + + response_text = output.text + response_tokens = output.token_ids + + response_logprobs = None + if output.logprobs is not None: + response_logprobs = [ + lp[token_id] for lp, token_id in zip(output.logprobs, response_tokens) + ] + + print(f" Response: '{response_text}'") + print(f" Response token_ids: {len(response_tokens)} tokens") + print(f" Stop reason: {output.stop_reason}") + + success = accumulator.add_assistant_response( + response_text=response_text, + response_token_ids=response_tokens, + response_logprobs=response_logprobs, + ) + + print(f" Total tokens now: {len(accumulator.all_tokens)}") + + if not success: + print(f"\n ⚠️ ⚠️ ⚠️ GENERATION TRUNCATED! ⚠️ ⚠️ ⚠️") + print( + f" Last token {response_tokens[-1]} != eos_token_id {tokenizer.eos_token_id}" + ) + print(f" Setting response_mask=0 for truncated response") + print(f" Episode will be marked as truncated") + + print(f"\n[Validation]") + ground_truth = tokenizer.apply_chat_template( + accumulator.messages, add_generation_prompt=False, tokenize=True + ) + print(f" all_tokens: {len(accumulator.all_tokens)}") + print(f" ground_truth: {len(ground_truth)}") + + if len(accumulator.all_tokens) == len(ground_truth): + print(f" ✅ PERFECT MATCH!") + else: + print(f" ❌ MISMATCH") + + if not success: + print(f"\n[Episode Truncated]") + print(f" Breaking episode due to generation truncation") + break + + if turn >= max_turns - 1: + break + + env_obs = f"Hand: {16 + turn}, Dealer: 10" + print(f"\n[Env Observation]") + print(f" Observation: '{env_obs}'") + accumulator.add_user_message(env_obs, check_budget=False) + + print(f"\n{'='*60}") + print(f"FINAL VALIDATION") + print(f"{'='*60}") + + final_ground_truth = tokenizer.apply_chat_template( + accumulator.messages, add_generation_prompt=False, tokenize=True + ) + + print(f"all_tokens: {len(accumulator.all_tokens)}") + print(f"ground_truth: {len(final_ground_truth)}") + + if len(accumulator.all_tokens) == len(final_ground_truth): + print(f"✅ ✅ ✅ PERFECT MATCH! ✅ ✅ ✅") + else: + print(f"❌ MISMATCH") + + print(f"\n{'='*60}") + print(f"DECODED CONVERSATION") + print(f"{'='*60}") + decoded = tokenizer.decode(accumulator.all_tokens) + print(decoded) + + print(f"\n{'='*60}") + print("SUMMARY") + print(f"{'='*60}") + print(f"Total tokens: {len(accumulator.all_tokens)}") + print(f"Trainable tokens (mask=1): {sum(accumulator.response_mask)}") + print( + f"Non-trainable tokens (mask=0): {len(accumulator.all_tokens) - sum(accumulator.response_mask)}" + ) + print( + f"Turns completed: {sum(1 for m in accumulator.messages if m['role'] == 'assistant')}" + ) + print(f"Response mask: {accumulator.response_mask}") + print( + f"\n⚠️ Episode marked as TRUNCATED - would be filtered or accepted based on config" + ) + + print(f"\n{'='*60}") + print("FINALIZE VALIDATION (VERL pattern)") + print(f"{'='*60}") + if accumulator.finalize(): + print("✅ FINALIZE PASSED - BASE anchor accumulation matches ground truth!") + else: + print("⚠️ FINALIZE WARNING - see details above") + + return accumulator.all_tokens, accumulator.response_mask, accumulator.messages + + +def test_env_obs_truncation(llm, tokenizer): + """Test case: Env observation would exceed max_seq_len""" + + print("\n" + "=" * 80) + print("TEST CASE 3: ENV OBSERVATION TRUNCATION (adding env obs exceeds budget)") + print("=" * 80) + print("Setting max_seq_len=75 to force env observation truncation\n") + + messages = [ + { + "role": "system", + "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", + } + ] + + max_seq_len = 75 + accumulator = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_seq_len=max_seq_len, + eos_token_id=tokenizer.eos_token_id, + sanity_check_mode=SanityCheckMode.STRICT, + ) + + accumulator.add_user_message("Hand: 15, Dealer: 10", check_budget=False) + + sampling_params = SamplingParams(temperature=0.8, max_tokens=50, logprobs=1) + max_turns = 3 + + for turn in range(max_turns): + print(f"\n{'='*60}") + print(f"TURN {turn + 1}") + print(f"{'='*60}") + + remaining = accumulator.get_remaining_budget() + + print(f"\n[Budget Check]") + print(f" Current tokens: {len(accumulator.all_tokens)}") + print(f" Max seq len: {max_seq_len}") + print(f" Remaining: {remaining}") + + if remaining <= 0: + print(f" ❌ Out of budget!") + break + + prompt_text = accumulator.format_prompt() + + print(f"\n[Generation]") + print(f" Generating...") + + sampling_params.max_tokens = min(remaining, 50) + outputs = llm.generate([prompt_text], sampling_params) + output = outputs[0].outputs[0] + + response_text = output.text + response_tokens = output.token_ids + + response_logprobs = None + if output.logprobs is not None: + response_logprobs = [ + lp[token_id] for lp, token_id in zip(output.logprobs, response_tokens) + ] + + print(f" Response: '{response_text}'") + print(f" Response token_ids: {len(response_tokens)} tokens") + + success = accumulator.add_assistant_response( + response_text=response_text, + response_token_ids=response_tokens, + response_logprobs=response_logprobs, + ) + + print(f" Total tokens now: {len(accumulator.all_tokens)}") + + if success: + print(f" ✅ Generation complete (ends with eos)") + else: + print(f" ⚠️ Generation TRUNCATED") + + print(f"\n[Validation]") + ground_truth = tokenizer.apply_chat_template( + accumulator.messages, add_generation_prompt=False, tokenize=True + ) + print(f" all_tokens: {len(accumulator.all_tokens)}") + print(f" ground_truth: {len(ground_truth)}") + + if len(accumulator.all_tokens) == len(ground_truth): + print(f" ✅ PERFECT MATCH!") + else: + print(f" ❌ MISMATCH") + + if not success: + print(f"\n[Episode Truncated - Generation]") + break + + game_done = turn >= 2 + if game_done: + print(f"\n[Game Done]") + break + + env_obs = f"Hand: {16 + turn}, Dealer: 10" + print(f"\n[Env Observation]") + print(f" Observation: '{env_obs}'") + + success = accumulator.add_user_message(env_obs, check_budget=True) + + if not success: + print(f"\n ⚠️ ⚠️ ⚠️ ENV OBSERVATION TRUNCATION! ⚠️ ⚠️ ⚠️") + print(f" Env obs would exceed max_seq_len") + print(f" Episode marked as truncated") + break + else: + print(f" ✅ Env obs added successfully") + + print(f"\n{'='*60}") + print(f"FINAL VALIDATION") + print(f"{'='*60}") + + final_ground_truth = tokenizer.apply_chat_template( + accumulator.messages, add_generation_prompt=False, tokenize=True + ) + + print(f"all_tokens: {len(accumulator.all_tokens)}") + print(f"ground_truth: {len(final_ground_truth)}") + + if len(accumulator.all_tokens) == len(final_ground_truth): + print(f"✅ ✅ ✅ PERFECT MATCH! ✅ ✅ ✅") + else: + print(f"❌ MISMATCH") + print( + f"Difference: {len(final_ground_truth) - len(accumulator.all_tokens)} tokens" + ) + + print(f"\n{'='*60}") + print(f"DECODED CONVERSATION") + print(f"{'='*60}") + decoded = tokenizer.decode(accumulator.all_tokens) + print(decoded) + + print(f"\n{'='*60}") + print("SUMMARY") + print(f"{'='*60}") + print(f"Total tokens: {len(accumulator.all_tokens)}") + print(f"Trainable tokens (mask=1): {sum(accumulator.response_mask)}") + print( + f"Non-trainable tokens (mask=0): {len(accumulator.all_tokens) - sum(accumulator.response_mask)}" + ) + print( + f"Turns completed: {sum(1 for m in accumulator.messages if m['role'] == 'assistant')}" + ) + print(f"Response mask: {accumulator.response_mask}") + print( + f"\n⚠️ Episode marked as TRUNCATED - would be filtered or accepted based on config" + ) + + print(f"\n{'='*60}") + print("FINALIZE VALIDATION (VERL pattern)") + print(f"{'='*60}") + if accumulator.finalize(): + print("✅ FINALIZE PASSED - BASE anchor accumulation matches ground truth!") + else: + print("⚠️ FINALIZE WARNING - see details above") + + return accumulator.all_tokens, accumulator.response_mask, accumulator.messages + + +def test_early_exit_budget(llm, tokenizer): + """Test case: Initial prompt already exceeds max_seq_len (early exit)""" + + print("\n" + "=" * 80) + print("TEST CASE 4: EARLY EXIT (initial prompt exceeds budget)") + print("=" * 80) + print("Setting max_seq_len=30 (smaller than initial prompt ~40 tokens)\n") + + messages = [ + { + "role": "system", + "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", + } + ] + + max_seq_len = 30 + accumulator = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_seq_len=max_seq_len, + eos_token_id=tokenizer.eos_token_id, + sanity_check_mode=SanityCheckMode.STRICT, + ) + + accumulator.add_user_message("Hand: 15, Dealer: 10", check_budget=False) + + print(f"{'='*60}") + print(f"CHECKING INITIAL BUDGET") + print(f"{'='*60}") + + print(f"\n[Initial State]") + print(f" Initial tokens: {len(accumulator.all_tokens)}") + + remaining = accumulator.get_remaining_budget() + + print(f"\n[Budget Check]") + print(f" Current tokens: {len(accumulator.all_tokens)}") + print(f" Assistant overhead: {accumulator.assistant_overhead}") + print(f" Max seq len: {max_seq_len}") + print(f" Remaining: {remaining}") + + if remaining <= 0: + print(f"\n ⚠️ ⚠️ ⚠️ EARLY EXIT! ⚠️ ⚠️ ⚠️") + print(f" Initial prompt already exceeds max_seq_len") + print(f" Cannot generate - breaking immediately") + print(f" Episode marked as truncated") + accumulator.is_truncated = True + accumulator.truncation_reason = "max_seq_len" + + print(f"\n{'='*60}") + print(f"FINAL VALIDATION") + print(f"{'='*60}") + + final_ground_truth = tokenizer.apply_chat_template( + accumulator.messages, add_generation_prompt=False, tokenize=True + ) + + print(f"all_tokens: {len(accumulator.all_tokens)}") + print(f"ground_truth: {len(final_ground_truth)}") + + if len(accumulator.all_tokens) == len(final_ground_truth): + print(f"✅ ✅ ✅ PERFECT MATCH! ✅ ✅ ✅") + else: + print(f"❌ MISMATCH") + + print(f"\n{'='*60}") + print(f"DECODED CONVERSATION") + print(f"{'='*60}") + decoded = tokenizer.decode(accumulator.all_tokens) + print(decoded) + + print(f"\n{'='*60}") + print("SUMMARY") + print(f"{'='*60}") + print(f"Total tokens: {len(accumulator.all_tokens)}") + print(f"Trainable tokens (mask=1): {sum(accumulator.response_mask)}") + print( + f"Non-trainable tokens (mask=0): {len(accumulator.all_tokens) - sum(accumulator.response_mask)}" + ) + print( + f"Turns completed: {sum(1 for m in accumulator.messages if m['role'] == 'assistant')}" + ) + print(f"Response mask: {accumulator.response_mask}") + print(f"\n⚠️ Episode marked as TRUNCATED - early exit, no generation possible") + + print(f"\n{'='*60}") + print("FINALIZE VALIDATION (VERL pattern)") + print(f"{'='*60}") + if accumulator.finalize(): + print("✅ FINALIZE PASSED - BASE anchor accumulation matches ground truth!") + else: + print("⚠️ FINALIZE WARNING - see details above") + + return accumulator.all_tokens, accumulator.response_mask, accumulator.messages + + +def test_long_env_obs_truncation(llm, tokenizer): + """Test case: Env observation is very long and gets truncated mid-content""" + + print("\n" + "=" * 80) + print("TEST CASE 5: LONG ENV OBSERVATION (truncate mid-content)") + print("=" * 80) + print("Using short initial prompt, tight budget to truncate env obs in turn 2\n") + + messages = [ + { + "role": "system", + "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", + } + ] + + max_seq_len = 55 + accumulator = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_seq_len=max_seq_len, + eos_token_id=tokenizer.eos_token_id, + sanity_check_mode=SanityCheckMode.DISABLE, + ) + + accumulator.add_user_message("Hand: 15, Dealer: 10", check_budget=False) + + sampling_params = SamplingParams(temperature=0.8, max_tokens=10, logprobs=1) + max_turns = 2 + + for turn in range(max_turns): + print(f"\n{'='*60}") + print(f"TURN {turn + 1}") + print(f"{'='*60}") + + remaining = accumulator.get_remaining_budget() + + print(f"\n[Budget Check]") + print(f" Current tokens: {len(accumulator.all_tokens)}") + print(f" Max seq len: {max_seq_len}") + print(f" Remaining: {remaining}") + + if remaining <= 0: + print(f" ❌ Out of budget!") + break + + prompt_text = accumulator.format_prompt() + + print(f"\n[Generation]") + print(f" Generating...") + + sampling_params.max_tokens = min(remaining, 50) + outputs = llm.generate([prompt_text], sampling_params) + output = outputs[0].outputs[0] + + response_text = output.text + response_tokens = output.token_ids + + response_logprobs = None + if output.logprobs is not None: + response_logprobs = [ + lp[token_id] for lp, token_id in zip(output.logprobs, response_tokens) + ] + + print(f" Response: '{response_text}'") + print(f" Response token_ids: {len(response_tokens)} tokens") + + success = accumulator.add_assistant_response( + response_text=response_text, + response_token_ids=response_tokens, + response_logprobs=response_logprobs, + ) + + print(f" Total tokens now: {len(accumulator.all_tokens)}") + + if success: + print(f" ✅ Generation complete (ends with eos)") + else: + print(f" ⚠️ Generation TRUNCATED") + + if not success: + print(f"\n[Episode Truncated - Generation]") + break + + if turn >= max_turns - 1: + print(f"\n[Max Turns Reached]") + break + + long_obs = f"Turn {turn + 2}: Your hand now has total: {17 + turn}. Dealer still showing: 10 of clubs. Dealer likely has strong hand. Risk of bust is moderate. Make your decision carefully." + print(f"\n[Env Observation]") + print(f" Observation: '{long_obs[:50]}...' ({len(long_obs)} chars)") + + success = accumulator.add_user_message(long_obs, check_budget=True) + + if not success: + print(f"\n ⚠️ ⚠️ ⚠️ ENV OBS EXCEEDS BUDGET! ⚠️ ⚠️ ⚠️") + print(f" Cannot fit full observation") + + remaining_budget = max_seq_len - len(accumulator.all_tokens) + print(f" Remaining budget: {remaining_budget} tokens") + + if remaining_budget > 0: + accumulator.messages.append({"role": "user", "content": long_obs}) + + full_with_obs = tokenizer.apply_chat_template( + accumulator.messages, + add_generation_prompt=False, + tokenize=True, + ) + + obs_tokens = full_with_obs[len(accumulator.all_tokens) :] + print(f" Full env obs would be: {len(obs_tokens)} tokens") + + truncated_obs_tokens = obs_tokens[:remaining_budget] + print( + f" TRUNCATING from {len(obs_tokens)} to {len(truncated_obs_tokens)} tokens" + ) + + accumulator.all_tokens.extend(truncated_obs_tokens) + accumulator.response_mask.extend([0] * len(truncated_obs_tokens)) + accumulator.logprobs.extend([0.0] * len(truncated_obs_tokens)) + + truncated_text = tokenizer.decode(truncated_obs_tokens) + print(f" Truncated text: '{truncated_text[:50]}...'") + + print( + f" ⚠️ Lost {len(obs_tokens) - len(truncated_obs_tokens)} tokens!" + ) + else: + print(f" No budget left - cannot add any tokens") + + accumulator.is_truncated = True + accumulator.truncation_reason = "env_observation_length" + + print(f"\n Cannot generate - no budget left") + print(f" Episode marked as truncated") + break + else: + print( + f" ✅ Env obs added successfully (should not happen with tight budget!)" + ) + break + + print(f"\n{'='*60}") + print(f"FINAL STATE") + print(f"{'='*60}") + + print(f"\nall_tokens: {len(accumulator.all_tokens)}") + + print(f"\n{'='*60}") + print(f"DECODED CONVERSATION (showing truncation)") + print(f"{'='*60}") + decoded = tokenizer.decode(accumulator.all_tokens) + print(decoded) + + print(f"\n{'='*60}") + print("SUMMARY") + print(f"{'='*60}") + print(f"Total tokens: {len(accumulator.all_tokens)}") + print(f"Trainable tokens (mask=1): {sum(accumulator.response_mask)}") + print( + f"Non-trainable tokens (mask=0): {len(accumulator.all_tokens) - sum(accumulator.response_mask)}" + ) + print( + f"Turns completed: {sum(1 for m in accumulator.messages if m['role'] == 'assistant')}" + ) + print(f"First 20 of response_mask: {accumulator.response_mask[:20]}") + print(f"Last 20 of response_mask: {accumulator.response_mask[-20:]}") + print(f"\n⚠️ Episode shows what happens when content is truncated mid-observation") + + print(f"\n{'='*60}") + print("FINALIZE VALIDATION (VERL pattern)") + print(f"{'='*60}") + print("⚠️ Validation disabled for this test (mid-content truncation)") + if accumulator.finalize(): + print("✅ FINALIZE PASSED (skipped)") + else: + print("⚠️ FINALIZE WARNING - see details above") + + return accumulator.all_tokens, accumulator.response_mask, accumulator.messages + + +def test_chat_template_overhead(llm, tokenizer): + """Test case: Check if chat template overhead causes budget overruns""" + + print("\n" + "=" * 80) + print("TEST CASE 6: CHAT TEMPLATE OVERHEAD (verify budget accounting)") + print("=" * 80) + print("Test that remaining_budget accounts for role header tokens\n") + + messages = [ + { + "role": "system", + "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", + } + ] + + max_seq_len = 200 + accumulator = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_seq_len=max_seq_len, + eos_token_id=tokenizer.eos_token_id, + sanity_check_mode=SanityCheckMode.STRICT, + ) + + accumulator.add_user_message("Hand: 15, Dealer: 10", check_budget=False) + + sampling_params = SamplingParams(temperature=0.8, max_tokens=50, logprobs=1) + max_turns = 5 + + for turn in range(max_turns): + print(f"\n{'='*60}") + print(f"TURN {turn + 1}") + print(f"{'='*60}") + + remaining = accumulator.get_remaining_budget() + + print(f"\n[Budget Check]") + print(f" Current tokens: {len(accumulator.all_tokens)}") + print(f" Assistant overhead: {accumulator.assistant_overhead}") + print(f" Max seq len: {max_seq_len}") + print(f" Remaining budget: {remaining}") + print(f" → Will pass max_tokens={remaining} to vLLM") + + if remaining <= 0: + print(f" ❌ Out of budget!") + accumulator.is_truncated = True + accumulator.truncation_reason = "max_seq_len" + break + + prompt_text = accumulator.format_prompt() + + print(f"\n[Generation]") + print(f" Generating with max_tokens={remaining}...") + + sampling_params.max_tokens = remaining + outputs = llm.generate([prompt_text], sampling_params) + output = outputs[0].outputs[0] + + response_text = output.text + response_tokens = output.token_ids + + response_logprobs = None + if output.logprobs is not None: + response_logprobs = [ + lp[token_id] for lp, token_id in zip(output.logprobs, response_tokens) + ] + + print(f" vLLM generated: {len(response_tokens)} content tokens") + print(f" Response text: '{response_text[:50]}...'") + + # Now check what happens when we add it + tokens_before = len(accumulator.all_tokens) + + success = accumulator.add_assistant_response( + response_text=response_text, + response_token_ids=response_tokens, + response_logprobs=response_logprobs, + ) + + tokens_after = len(accumulator.all_tokens) + tokens_added = tokens_after - tokens_before + + print(f"\n[After Adding Response]") + print(f" vLLM content tokens: {len(response_tokens)}") + print(f" Total tokens added (with headers): {tokens_added}") + print(f" Role header overhead: {tokens_added - len(response_tokens)}") + print(f" Total tokens now: {tokens_after}") + print(f" Max allowed: {max_seq_len}") + + if tokens_after > max_seq_len: + print(f" ❌❌❌ BUDGET EXCEEDED! ❌❌❌") + print(f" Overrun by: {tokens_after - max_seq_len} tokens") + print(f"\n ROOT CAUSE: remaining_budget doesn't account for role headers!") + print(f" We passed max_tokens={remaining} to vLLM") + print(f" vLLM generated {len(response_tokens)} tokens") + print( + f" But chat template added {tokens_added - len(response_tokens)} header tokens" + ) + print( + f" Result: {tokens_before} + {tokens_added} = {tokens_after} > {max_seq_len}" + ) + return False + else: + print(f" ✅ Within budget ({tokens_after} <= {max_seq_len})") + + if not success: + print(f"\n[Episode Truncated - Generation]") + break + + game_done = turn >= max_turns - 1 + if game_done: + print(f"\n[Max Turns Reached]") + break + + env_obs = f"Hand: {16 + turn}, Dealer: 10" + print(f"\n[Env Observation]") + print(f" Observation: '{env_obs}'") + + success = accumulator.add_user_message(env_obs, check_budget=True) + + if not success: + print(f" ⚠️ Env obs would exceed budget - breaking") + break + else: + print(f" ✅ Env obs added successfully") + + print(f"\n{'='*60}") + print(f"FINAL CHECK") + print(f"{'='*60}") + + print(f"Final token count: {len(accumulator.all_tokens)}") + print(f"Max seq len: {max_seq_len}") + + if len(accumulator.all_tokens) <= max_seq_len: + print(f"✅ ✅ ✅ BUDGET RESPECTED! ✅ ✅ ✅") + print(f"The budget calculation correctly accounts for chat template overhead") + else: + print(f"❌ BUDGET VIOLATED!") + print(f"Exceeded by: {len(accumulator.all_tokens) - max_seq_len} tokens") + + print(f"\n{'='*60}") + print(f"DECODED CONVERSATION") + print(f"{'='*60}") + decoded = tokenizer.decode(accumulator.all_tokens) + print(decoded) + + print(f"\n{'='*60}") + print("SUMMARY") + print(f"{'='*60}") + print(f"Total tokens: {len(accumulator.all_tokens)}") + print(f"Trainable tokens (mask=1): {sum(accumulator.response_mask)}") + print( + f"Non-trainable tokens (mask=0): {len(accumulator.all_tokens) - sum(accumulator.response_mask)}" + ) + print( + f"Turns completed: {sum(1 for m in accumulator.messages if m['role'] == 'assistant')}" + ) + + if len(accumulator.all_tokens) <= max_seq_len: + return True + else: + return False + + +def test_prefix_vs_direct(llm, tokenizer): + """Compare prefix matching (current) vs direct extraction (other libraries).""" + + print("\n" + "=" * 80) + print("TEST CASE 7: PREFIX MATCHING vs DIRECT EXTRACTION") + print("=" * 80) + print("Comparing our approach vs industry standard (TRL, VERL, etc.)\n") + + messages = [ + { + "role": "system", + "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", + }, + {"role": "user", "content": "Hand: 15, Dealer: 10"}, + ] + + prompt = tokenizer.apply_chat_template( + messages, add_generation_prompt=True, tokenize=False + ) + + sampling_params = SamplingParams(temperature=0.0, max_tokens=5, logprobs=1) + outputs = llm.generate([prompt], sampling_params) + output = outputs[0].outputs[0] + + print("=" * 80) + print("APPROACH 1: PREFIX MATCHING (OUR CURRENT IMPLEMENTATION)") + print("=" * 80) + + # Simulate what TokenAccumulator.add_assistant_response() does + BASE_CHAT_HISTORY = [ + { + "role": "system", + "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", + }, + {"role": "user", "content": ""}, + ] + base_tokens_wo_gen = tokenizer.apply_chat_template( + BASE_CHAT_HISTORY, + add_generation_prompt=False, + tokenize=True, + ) + base_len_wo_gen = len(base_tokens_wo_gen) + + # Re-tokenize the full assistant message + temp_messages = [ + *BASE_CHAT_HISTORY, + {"role": "assistant", "content": output.text}, + ] + full_with_assistant = tokenizer.apply_chat_template( + temp_messages, + add_generation_prompt=False, + tokenize=True, + ) + assistant_tokens_prefix = full_with_assistant[base_len_wo_gen:] + + print(f" 1. Get vLLM output.token_ids: {output.token_ids}") + print(f" Decoded: '{tokenizer.decode(output.token_ids)}'") + print(f" 2. ❌ IGNORE those token_ids!") + print(f" 3. Re-tokenize assistant message via chat template") + print(f" 4. Extract via prefix matching: {assistant_tokens_prefix}") + print(f" Length: {len(assistant_tokens_prefix)} tokens") + print(f" Decoded: '{tokenizer.decode(assistant_tokens_prefix)}'") + print(f"\n ⚠️ PROBLEM: We called tokenizer.apply_chat_template() unnecessarily!") + + print("\n" + "=" * 80) + print("APPROACH 2: DIRECT EXTRACTION (TRL, VERL, PRIME-RL, etc.)") + print("=" * 80) + + # Get role header tokens (pre-compute once at init) + base_empty = [ + {"role": "system", "content": ""}, + {"role": "user", "content": ""}, + ] + base_empty_tokens = tokenizer.apply_chat_template( + base_empty, + add_generation_prompt=False, + tokenize=True, + ) + + with_empty_assistant = base_empty + [{"role": "assistant", "content": ""}] + with_assistant_tokens = tokenizer.apply_chat_template( + with_empty_assistant, + add_generation_prompt=False, + tokenize=True, + ) + + role_header_tokens = with_assistant_tokens[len(base_empty_tokens) :] + + # Combine: role_header + content_tokens (from vLLM) + assistant_tokens_direct = role_header_tokens + output.token_ids + + print(f" 1. Get vLLM output.token_ids: {output.token_ids}") + print(f" Decoded: '{tokenizer.decode(output.token_ids)}'") + print(f" 2. ✅ USE those token_ids directly!") + print(f" 3. Get pre-computed role header: {role_header_tokens}") + print(f" Decoded: '{tokenizer.decode(role_header_tokens)}'") + print(f" 4. Combine: role_header + content_tokens") + print(f" Result: {assistant_tokens_direct}") + print(f" Length: {len(assistant_tokens_direct)} tokens") + print(f" Decoded: '{tokenizer.decode(assistant_tokens_direct)}'") + print(f"\n ✅ BENEFIT: Only 1 tokenization call (at init), not every turn!") + + print("\n" + "=" * 80) + print("COMPARISON") + print("=" * 80) + + if assistant_tokens_prefix == assistant_tokens_direct: + print(f" ✅ Both approaches give SAME result") + print(f" ✅ Length: {len(assistant_tokens_prefix)} tokens") + else: + print(f" ❌ MISMATCH!") + print(f" Prefix: {assistant_tokens_prefix}") + print(f" Direct: {assistant_tokens_direct}") + + print(f"\n Tokenization calls:") + print(f" Prefix matching: O(N) - one call per turn") + print(f" Direct extraction: O(1) - pre-computed at init") + + print("\n" + "=" * 80) + print("BUDGET CALCULATION FIX") + print("=" * 80) + + # Current (wrong) + test_msgs = [{"role": "user", "content": "x"}] + without_gen = tokenizer.apply_chat_template( + test_msgs, add_generation_prompt=False, tokenize=True + ) + with_gen = tokenizer.apply_chat_template( + test_msgs, add_generation_prompt=True, tokenize=True + ) + gen_prompt_len = len(with_gen) - len(without_gen) + + # Correct + assistant_overhead = len(role_header_tokens) + + print(f" ❌ Current: gen_prompt_len = {gen_prompt_len}") + print(f" (Only counts prompt-side '<|im_start|>assistant\\n')") + print(f"\n ✅ Correct: assistant_overhead = {assistant_overhead}") + print(f" (Counts full role header + EOS)") + print(f"\n Difference: {assistant_overhead - gen_prompt_len} tokens") + print(f" This is why we exceed max_seq_len!") + + print("\n" + "=" * 80) + print("FULL CONVERSATION EXAMPLE") + print("=" * 80) + + # Show a full multi-turn example + example_messages = [ + { + "role": "system", + "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", + }, + {"role": "user", "content": "Hand: 15, Dealer: 10"}, + {"role": "assistant", "content": output.text}, + {"role": "user", "content": "Hand: 16, Dealer: 10"}, + {"role": "assistant", "content": output.text}, + ] + + full_conversation_tokens = tokenizer.apply_chat_template( + example_messages, + add_generation_prompt=False, + tokenize=True, + ) + + full_decoded = tokenizer.decode(full_conversation_tokens) + + print(f"Message sequence: system -> user -> assistant -> user -> assistant") + print(f"Total tokens: {len(full_conversation_tokens)}") + print(f"\nDecoded:\n{full_decoded}") + + print("\n" + "=" * 80) + print("RECOMMENDATION") + print("=" * 80) + print(" 1. Use direct extraction (like all 6 libraries we studied)") + print( + " 2. Fix budget calculation: use assistant_overhead instead of gen_prompt_len" + ) + print(" 3. Performance: 3x fewer tokenization calls") + + return True + + +def main(): + print("Loading model and tokenizer...") + model_name = "Qwen/Qwen3-1.7B" + + llm = LLM( + model=model_name, + tensor_parallel_size=1, + gpu_memory_utilization=0.3, + max_model_len=4096, + enable_prefix_caching=True, + ) + + tokenizer = get_tokenizer(model_name) + + print("✅ Model loaded!\n") + + print("\n" + "#" * 80) + print("# RUNNING ALL 7 TEST CASES (V2 - SIMPLIFIED)") + print("#" * 80) + + test_normal_rollout( + llm=llm, + tokenizer=tokenizer, + max_seq_len=2048, + max_turns=3, + ) + + test_vllm_truncation( + llm=llm, + tokenizer=tokenizer, + ) + + test_env_obs_truncation( + llm=llm, + tokenizer=tokenizer, + ) + + test_early_exit_budget( + llm=llm, + tokenizer=tokenizer, + ) + + test_long_env_obs_truncation( + llm=llm, + tokenizer=tokenizer, + ) + + # NEW: Test chat template overhead + budget_ok = test_chat_template_overhead( + llm=llm, + tokenizer=tokenizer, + ) + + # NEW: Compare prefix vs direct + test_prefix_vs_direct( + llm=llm, + tokenizer=tokenizer, + ) + + print("\n" + "#" * 80) + print("# ALL 7 TESTS COMPLETED") + print("#" * 80) + + if not budget_ok: + print("\n⚠️ CRITICAL: Chat template overhead causes budget violations!") + print("This explains why episodes exceed max_seq_len in production") + else: + print("\n✅ All budget checks passed") + + +if __name__ == "__main__": + main() diff --git a/test_vllm_tokens_direct.py b/test_vllm_tokens_direct.py new file mode 100644 index 000000000..73dea0045 --- /dev/null +++ b/test_vllm_tokens_direct.py @@ -0,0 +1,294 @@ +#!/usr/bin/env python3 +""" +Test script to verify vLLM returns prompt_ids with role headers included. + +This tests the hypothesis that we can use vLLM's token_ids directly +without re-applying chat_template. +""" + +import asyncio +import sys + +from transformers import AutoTokenizer + +# Add forge to path +sys.path.insert(0, "/home/felipemello/forge") + +from forge.actors.generator import Generator +from vllm.engine.arg_utils import EngineArgs +from vllm.sampling_params import SamplingParams + + +def print_section(title): + print("\n" + "=" * 5) + print(title) + print("=" * 5) + + +async def main(): + # Load tokenizer (same as blackjack) + model_path = "Qwen/Qwen3-1.7B" + tokenizer = AutoTokenizer.from_pretrained( + model_path, + local_files_only=True, # Use cached files only + ) + + # CRITICAL: Enable thinking to prevent auto-wrapping + tokenizer.enable_thinking = True + + print_section("TOKENIZER INFO") + print(f"Model: {model_path}") + print(f"EOS token: {tokenizer.eos_token} (id={tokenizer.eos_token_id})") + print(f"PAD token: {tokenizer.pad_token} (id={tokenizer.pad_token_id})") + print(f"Enable thinking: {tokenizer.enable_thinking}") + + # Setup generator + print_section("SETTING UP GENERATOR") + engine_args = EngineArgs( + model=model_path, + tensor_parallel_size=1, + max_model_len=2048, + enable_prefix_caching=True, + ) + + sampling_params = SamplingParams( + temperature=0.7, + top_p=0.9, + max_tokens=100, + logprobs=1, # Request logprobs + ) + + generator = await Generator.options( + procs=1, + num_replicas=1, + with_gpus=True, + ).as_service( + engine_args=engine_args, + sampling_params=sampling_params, + ) + + print("✅ Generator ready") + + # Build conversation manually + print_section("TEST 1: SIMPLE CONVERSATION") + messages = [ + { + "role": "system", + "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", + }, + {"role": "user", "content": "Hand: 15, Dealer: 10"}, + ] + + # Apply chat template to get prompt text + prompt_text = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=False, + enable_thinking=True, # Prevent auto-wrapper + ) + + print("\n[Prompt Text]") + print(repr(prompt_text)) + + # Tokenize locally to see what we expect + local_tokens = tokenizer.apply_chat_template( + messages, + add_generation_prompt=True, + tokenize=True, + enable_thinking=True, # Prevent auto-wrapper + ) + + print(f"\n[Local Tokenization]") + print(f"Total tokens: {len(local_tokens)}") + print(f"First 20 tokens: {local_tokens[:20]}") + + # Generate with vLLM + print("\n[Calling vLLM...]") + + completions = await generator.generate.route( + prompt_text, # Pass prompt directly, not as list + sampling_params=sampling_params, + ) + print(f"Type of completions: {type(completions)}") + print(f"Length: {len(completions)}") + completion = completions[0] # First completion + + print_section("VLLM RESPONSE") + print(f"\n[Response Text]") + print(repr(completion.text)) + print(f"\n[Stop Reason]") + print(completion.stop_reason) + + # Inspect prompt_ids + print_section("PROMPT_IDS (from vLLM)") + prompt_ids = completion.prompt_ids.tolist() + print(f"Length: {len(prompt_ids)}") + print(f"First 20 tokens: {prompt_ids[:20]}") + print(f"Last 10 tokens: {prompt_ids[-10:]}") + + # Compare with local tokenization + print("\n[Comparison with Local Tokenization]") + if prompt_ids == local_tokens: + print("✅ PERFECT MATCH! prompt_ids == local_tokens") + else: + print(f"❌ MISMATCH!") + print(f" vLLM length: {len(prompt_ids)}") + print(f" Local length: {len(local_tokens)}") + if len(prompt_ids) == len(local_tokens): + # Find first difference + for i, (a, b) in enumerate(zip(prompt_ids, local_tokens)): + if a != b: + print(f" First diff at position {i}: vLLM={a}, local={b}") + break + + # Decode prompt_ids to verify it includes role headers + print("\n[Decoded prompt_ids]") + decoded_prompt = tokenizer.decode(prompt_ids) + print(repr(decoded_prompt)) + + # Inspect token_ids (generated content) + print_section("TOKEN_IDS (generated by vLLM)") + token_ids = completion.token_ids.tolist() + print(f"Length: {len(token_ids)}") + print(f"Tokens: {token_ids[:50] if len(token_ids) > 50 else token_ids}") + + # Decode token_ids + print("\n[Decoded token_ids (raw generation)]") + decoded_generation = tokenizer.decode(token_ids) + print(repr(decoded_generation)) + + # Check if last token is EOS + print("\n[Truncation Check]") + if len(token_ids) > 0: + last_token = token_ids[-1] + is_eos = last_token == tokenizer.eos_token_id + print(f"Last token: {last_token}") + print(f"EOS token: {tokenizer.eos_token_id}") + print(f"Is EOS: {is_eos}") + if not is_eos: + print("⚠️ Generation was TRUNCATED (no EOS)") + else: + print("✅ Generation completed normally (has EOS)") + + # Now test: Can we extract role headers? + print_section("EXTRACTING ROLE HEADERS") + + # Method 1: Use a dummy conversation to get header/footer + print("\n[Method: Dummy Conversation with enable_thinking=True]") + dummy_messages = [ + {"role": "system", "content": ""}, + {"role": "user", "content": ""}, + {"role": "assistant", "content": "X"}, # Plain content, no think tags + ] + + base_tokens = tokenizer.apply_chat_template( + dummy_messages[:2], + add_generation_prompt=True, + tokenize=True, + enable_thinking=True, # Prevent auto-wrapper + ) + print( + f"Base (sys+user+gen_prompt) decoded:\n{repr(tokenizer.decode(base_tokens))}\n" + ) + + full_tokens = tokenizer.apply_chat_template( + dummy_messages, + add_generation_prompt=False, + tokenize=True, + enable_thinking=True, # Prevent auto-wrapper + ) + print( + f"Full (sys+user+assistant) decoded:\n{repr(tokenizer.decode(full_tokens))}\n" + ) + + # Extract assistant portion + assistant_full = full_tokens[len(base_tokens) :] + print(f"Assistant full decoded:\n{repr(tokenizer.decode(assistant_full))}\n") + print(f"Assistant full tokens: {assistant_full}") + + # Find where "X" is + content_tokens = tokenizer.encode("X", add_special_tokens=False) + print(f"\nContent tokens (just 'X'): {content_tokens}") + + # Find content position + found = False + for i in range(len(assistant_full) - len(content_tokens) + 1): + if assistant_full[i : i + len(content_tokens)] == content_tokens: + role_header = assistant_full[:i] + role_footer = assistant_full[i + len(content_tokens) :] + print(f"\n✅ Found content at position {i}") + print(f"\nRole header ({len(role_header)} tokens):") + print(f" Tokens: {role_header}") + print(f" Decoded: {repr(tokenizer.decode(role_header))}") + print(f"\nRole footer ({len(role_footer)} tokens):") + print(f" Tokens: {role_footer}") + print(f" Decoded: {repr(tokenizer.decode(role_footer))}") + found = True + break + + if not found: + print("❌ Could not find content in assistant tokens") + print(f"Searching for: {content_tokens}") + print(f"In: {assistant_full}") + + # Test: Combine header + vLLM tokens + footer + if found: + print_section("TESTING: header + vLLM tokens + footer") + combined = role_header + token_ids + role_footer + print(f"\nCombined length: {len(combined)}") + print(f"Combined tokens (first 30): {combined[:30]}") + + # Decode combined + decoded_combined = tokenizer.decode(combined) + print(f"\n[Decoded Combined]") + print(repr(decoded_combined)) + + # Now add to full conversation + print_section("FULL CONVERSATION RECONSTRUCTION") + full_conversation = prompt_ids + combined + print(f"Full length: {len(full_conversation)}") + + decoded_full = tokenizer.decode(full_conversation) + print(f"\n[Decoded Full Conversation]") + print(decoded_full) + + # Verify against expected format + messages_with_response = messages + [ + {"role": "assistant", "content": completion.text} + ] + expected_tokens = tokenizer.apply_chat_template( + messages_with_response, + add_generation_prompt=False, + tokenize=True, + enable_thinking=True, # Prevent auto-wrapper + ) + + print(f"\n[Verification]") + print(f"Reconstructed length: {len(full_conversation)}") + print(f"Expected length: {len(expected_tokens)}") + + if full_conversation == expected_tokens: + print("✅✅✅ PERFECT MATCH! We can use vLLM tokens directly!") + else: + print("❌ Mismatch - need to investigate") + # Find first difference + min_len = min(len(full_conversation), len(expected_tokens)) + for i in range(min_len): + if full_conversation[i] != expected_tokens[i]: + print(f" First diff at position {i}:") + print(f" Reconstructed: {full_conversation[max(0,i-5):i+10]}") + print(f" Expected: {expected_tokens[max(0,i-5):i+10]}") + break + if len(full_conversation) != len(expected_tokens): + print( + f" Length mismatch by {abs(len(full_conversation) - len(expected_tokens))} tokens" + ) + + # Cleanup + print_section("CLEANUP") + await generator.shutdown() + print("✅ Done") + + +if __name__ == "__main__": + asyncio.run(main()) From a10379f8d5c824d5d3f8bf2fcf489ac25b208479 Mon Sep 17 00:00:00 2001 From: Felipe Mello Date: Tue, 18 Nov 2025 06:46:46 -0800 Subject: [PATCH 07/11] misc --- apps/blackjack/main_v2.py | 22 +++++++--- debug/test_token_accumulator_validation.py | 6 +++ debug/thinking_tag_test.py | 6 +++ debug/token_accumulator_fn.py | 6 +++ debug/token_accumulator_fn_v2.py | 13 +++--- debug/token_accumulator_fn_v3.py | 6 +++ debug/token_accumulator_fn_v4.py | 6 +++ dummy.py | 15 +++++-- out.txt | 6 +-- test_minimal_truncation.py | 47 +++++++++++++--------- test_simple_reconstruction.py | 6 +++ test_simple_vllm_v2.py | 6 +++ test_vllm_tokens_direct.py | 6 +++ 13 files changed, 115 insertions(+), 36 deletions(-) diff --git a/apps/blackjack/main_v2.py b/apps/blackjack/main_v2.py index 7ec1968ed..aa4d9c9ba 100644 --- a/apps/blackjack/main_v2.py +++ b/apps/blackjack/main_v2.py @@ -11,9 +11,9 @@ import os import signal import subprocess +import threading import time import uuid -import threading from dataclasses import dataclass, field from enum import Enum from functools import lru_cache @@ -262,17 +262,23 @@ def add_assistant_response( print(f"[TokenAccumulator] About to tokenize assistant response") print(f"[TokenAccumulator] Response text length: {len(response_text)} chars") - print(f"[TokenAccumulator] Response token_ids length: {len(response_token_ids)} tokens") + print( + f"[TokenAccumulator] Response token_ids length: {len(response_token_ids)} tokens" + ) print(f"[TokenAccumulator] First 150 chars: {response_text[:150]}") # Safety check: If response is suspiciously long, warn and potentially truncate if len(response_text) > 10000: # 10k chars is way too much for blackjack - print(f"[TokenAccumulator] ⚠️ WARNING: Response text is {len(response_text)} chars - this may cause slow tokenization!") + print( + f"[TokenAccumulator] ⚠️ WARNING: Response text is {len(response_text)} chars - this may cause slow tokenization!" + ) print(f"[TokenAccumulator] Last 150 chars: {response_text[-150:]}") message = {"role": "assistant", "content": response_text} assistant_tokens = self._tokenize_delta(message, "assistant") - print(f"[TokenAccumulator] Tokenization complete, got {len(assistant_tokens)} tokens") + print( + f"[TokenAccumulator] Tokenization complete, got {len(assistant_tokens)} tokens" + ) # Check budget - reject if would exceed max_seq_len if len(assistant_tokens) > self.get_remaining_budget(): @@ -687,8 +693,12 @@ async def do_single_rollout( response_text = response.text print(f" [DEBUG] Got response.text, length: {len(response_text)}") print(f" [DEBUG] About to access response.token_ids as list") - response_token_ids_list = list(response.token_ids) # Explicitly convert to list - print(f" [DEBUG] Got response.token_ids, length: {len(response_token_ids_list)}") + response_token_ids_list = list( + response.token_ids + ) # Explicitly convert to list + print( + f" [DEBUG] Got response.token_ids, length: {len(response_token_ids_list)}" + ) print(f" [DEBUG] About to call add_assistant_response") success = accumulator.add_assistant_response( diff --git a/debug/test_token_accumulator_validation.py b/debug/test_token_accumulator_validation.py index e615460e7..31a2f9308 100644 --- a/debug/test_token_accumulator_validation.py +++ b/debug/test_token_accumulator_validation.py @@ -1,4 +1,10 @@ #!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + """ Minimal validation test for TokenAccumulator v9 fix. diff --git a/debug/thinking_tag_test.py b/debug/thinking_tag_test.py index 555ff97b9..b82d511b2 100644 --- a/debug/thinking_tag_test.py +++ b/debug/thinking_tag_test.py @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + from vllm.transformers_utils.tokenizer import get_tokenizer tokenizer = get_tokenizer("Qwen/Qwen3-1.7B") diff --git a/debug/token_accumulator_fn.py b/debug/token_accumulator_fn.py index 7f9ec4588..7f99f0110 100644 --- a/debug/token_accumulator_fn.py +++ b/debug/token_accumulator_fn.py @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + from enum import Enum from functools import lru_cache diff --git a/debug/token_accumulator_fn_v2.py b/debug/token_accumulator_fn_v2.py index 2ec73ef9f..6a6987616 100644 --- a/debug/token_accumulator_fn_v2.py +++ b/debug/token_accumulator_fn_v2.py @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + from enum import Enum @@ -94,8 +100,7 @@ def add_assistant_response( """ # Check truncation is_truncated = ( - len(response_token_ids) > 0 - and response_token_ids[-1] != self.eos_token_id + len(response_token_ids) > 0 and response_token_ids[-1] != self.eos_token_id ) if is_truncated: @@ -136,9 +141,7 @@ def add_assistant_response( [0.0] * content_start # Role markers before + response_logprobs # Actual logprobs from vLLM + [0.0] - * ( - len(new_tokens) - content_start - len(response_token_ids) - ) # After + * (len(new_tokens) - content_start - len(response_token_ids)) # After ) else: # Fallback: all zeros diff --git a/debug/token_accumulator_fn_v3.py b/debug/token_accumulator_fn_v3.py index 30cf7e826..7193afe6a 100644 --- a/debug/token_accumulator_fn_v3.py +++ b/debug/token_accumulator_fn_v3.py @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + from enum import Enum diff --git a/debug/token_accumulator_fn_v4.py b/debug/token_accumulator_fn_v4.py index 4ca5e537a..ef22fbd0e 100644 --- a/debug/token_accumulator_fn_v4.py +++ b/debug/token_accumulator_fn_v4.py @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + from enum import Enum diff --git a/dummy.py b/dummy.py index e6a185c76..f2894278c 100644 --- a/dummy.py +++ b/dummy.py @@ -1,4 +1,10 @@ #!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + """ Test script to verify OpenSpiel metadata extraction is working. @@ -7,10 +13,12 @@ """ import sys + sys.path.insert(0, "/home/felipemello/OpenEnv/src") -from envs.openspiel_env.server.openspiel_environment import OpenSpielEnvironment from envs.openspiel_env.models import OpenSpielAction +from envs.openspiel_env.server.openspiel_environment import OpenSpielEnvironment + def test_direct_env(): """Test using OpenSpielEnvironment directly (no HTTP server).""" @@ -19,9 +27,7 @@ def test_direct_env(): print("=" * 60) env = OpenSpielEnvironment( - game_name="blackjack", - agent_player=0, - opponent_policy="random" + game_name="blackjack", agent_player=0, opponent_policy="random" ) # Reset @@ -78,6 +84,7 @@ def test_http_env(): except Exception as e: print(f"\n[HTTP ERROR] {type(e).__name__}: {e}") import traceback + traceback.print_exc() diff --git a/out.txt b/out.txt index 6bd5b06f0..690c30d10 100644 --- a/out.txt +++ b/out.txt @@ -49,7 +49,7 @@ INFO 11-17 21:08:00 [__init__.py:235] Automatically detected platform cuda. [ReferenceModel-0/1] 2025-11-17 21:08:02 INFO Total parameter count: dense 2,031,739,904, sparse 0, active 2,031,739,904 [ReferenceModel-0/1] 2025-11-17 21:08:02 INFO Applied selective activation checkpointing to the model NCCL version 2.27.5+cuda12.9 -[ReferenceModel-0/1] 2025-11-17 21:08:02 INFO Checkpointing active. Checkpoints will be loaded from and saved to +[ReferenceModel-0/1] 2025-11-17 21:08:02 INFO Checkpointing active. Checkpoints will be loaded from and saved to [ReferenceModel-0/1] 2025-11-17 21:08:02 INFO Mixed precision training is handled by AMP [ReferenceModel-0/1] 2025-11-17 21:08:02 INFO loading from HF safetensors from --checkpoint.initial_load_path: /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e [ReferenceModel-0/1] 2025-11-17 21:08:02 INFO Loading the checkpoint from /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e. @@ -204,7 +204,7 @@ Okay, let's see. The user has a BlackJack hand with a value of ?, and the dealer [TokenAccumulator] Response text length: 4868 chars [TokenAccumulator] Response token_ids length: 1146 tokens [TokenAccumulator] First 150 chars: -Okay, let's see. The user is playing BlackJack, and the current hand is ?, and the dealer is ?. I need to decide whether to hit or stand. But +Okay, let's see. The user is playing BlackJack, and the current hand is ?, and the dealer is ?. I need to decide whether to hit or stand. But [TokenAccumulator] Tokenization complete, got 1150 tokens [do_single_rollout] Turn 1 @@ -343,7 +343,7 @@ ValueError: Expected input batch_size (7900) to match target batch_size (7904). [TokenAccumulator] Response text length: 2594 chars [TokenAccumulator] Response token_ids length: 615 tokens [TokenAccumulator] First 150 chars: -Okay, let's see. The user has been asking for HIT or STAND responses repeatedly. The initial hand and dealer are both unknown. Since the user +Okay, let's see. The user has been asking for HIT or STAND responses repeatedly. The initial hand and dealer are both unknown. Since the user [TokenAccumulator] Tokenization complete, got 619 tokens [do_single_rollout] Turn 3 diff --git a/test_minimal_truncation.py b/test_minimal_truncation.py index d3a5d273a..436f8da18 100644 --- a/test_minimal_truncation.py +++ b/test_minimal_truncation.py @@ -1,4 +1,10 @@ #!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + """ Minimal test to verify v9 fix for Qwen think tags. @@ -10,6 +16,7 @@ """ import sys + sys.path.insert(0, "/home/felipemello/forge") from transformers import AutoTokenizer @@ -37,20 +44,26 @@ def _compute_role_tokens(self): base = [{"role": "system", "content": ""}, {"role": "user", "content": ""}] with_assistant = base + [{"role": "assistant", "content": "X"}] - base_tokens = self.tokenizer.apply_chat_template(base, add_generation_prompt=False, tokenize=True) - full_tokens = self.tokenizer.apply_chat_template(with_assistant, add_generation_prompt=False, tokenize=True) + base_tokens = self.tokenizer.apply_chat_template( + base, add_generation_prompt=False, tokenize=True + ) + full_tokens = self.tokenizer.apply_chat_template( + with_assistant, add_generation_prompt=False, tokenize=True + ) # Extract assistant portion - assistant_full = full_tokens[len(base_tokens):] + assistant_full = full_tokens[len(base_tokens) :] # Content tokens - content_tokens = self.tokenizer.encode("X", add_special_tokens=False) + content_tokens = self.tokenizer.encode( + "X", add_special_tokens=False + ) # Find content position in assistant_full for i in range(len(assistant_full) - len(content_tokens) + 1): - if assistant_full[i:i+len(content_tokens)] == content_tokens: + if assistant_full[i : i + len(content_tokens)] == content_tokens: header = assistant_full[:i] - footer = assistant_full[i+len(content_tokens):] + footer = assistant_full[i + len(content_tokens) :] return header, footer # Fallback: assume last token is footer (eos) @@ -66,7 +79,7 @@ def add_user_message(self, content: str): ) # Extract delta - delta = new_tokens[len(self.all_tokens):] + delta = new_tokens[len(self.all_tokens) :] self.all_tokens.extend(delta) def add_assistant_response(self, content_tokens: list[int], text: str): @@ -78,7 +91,9 @@ def add_assistant_response(self, content_tokens: list[int], text: str): text: Decoded text (for message log) """ # Check if truncated (last token != eos) - is_truncated = len(content_tokens) > 0 and content_tokens[-1] != self.eos_token_id + is_truncated = ( + len(content_tokens) > 0 and content_tokens[-1] != self.eos_token_id + ) # Combine: header + content + footer # BUT if truncated, don't add footer (incomplete response) @@ -158,8 +173,7 @@ def main(): # Simulate complete response content_tokens, content_text = simulate_vllm_response( - tokenizer, - f"Let me think...\n\nHIT{tokenizer.eos_token}" + tokenizer, f"Let me think...\n\nHIT{tokenizer.eos_token}" ) print(f" Content tokens: {len(content_tokens)}") print(f" Last token == eos: {content_tokens[-1] == tokenizer.eos_token_id}") @@ -178,7 +192,7 @@ def main(): content_tokens, content_text = simulate_vllm_response( tokenizer, "Let me think about this carefully...", - truncate_at=10 # Truncate after 10 tokens + truncate_at=10, # Truncate after 10 tokens ) print(f" Content tokens: {len(content_tokens)}") print(f" Content text: {repr(content_text)}") @@ -203,8 +217,7 @@ def main(): acc3.add_user_message("Hand: 15, Dealer: 10") content_tokens, content_text = simulate_vllm_response( - tokenizer, - f"Thinking...\n\nHIT{tokenizer.eos_token}" + tokenizer, f"Thinking...\n\nHIT{tokenizer.eos_token}" ) acc3.add_assistant_response(content_tokens, content_text) @@ -221,9 +234,7 @@ def main(): # First response truncated content_tokens, content_text = simulate_vllm_response( - tokenizer, - "Let me", - truncate_at=5 + tokenizer, "Let me", truncate_at=5 ) is_truncated = acc4.add_assistant_response(content_tokens, content_text) print(f" Turn 1 truncated: {is_truncated}") @@ -240,9 +251,9 @@ def main(): if has_duplicates: print(f" ❌ FOUND DUPLICATES!") # Show where duplicates appear - lines = decoded.split('\n') + lines = decoded.split("\n") for i, line in enumerate(lines): - if '' in line or '' in line: + if "" in line or "" in line: print(f" Line {i}: {repr(line)}") print("\n" + "=" * 80) diff --git a/test_simple_reconstruction.py b/test_simple_reconstruction.py index d7b4f0173..bde94ad98 100644 --- a/test_simple_reconstruction.py +++ b/test_simple_reconstruction.py @@ -1,4 +1,10 @@ #!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + """ Simple test: Reconstruct conversation using vLLM tokens directly. No dummy messages needed! diff --git a/test_simple_vllm_v2.py b/test_simple_vllm_v2.py index a5137cc4e..6859bae2a 100644 --- a/test_simple_vllm_v2.py +++ b/test_simple_vllm_v2.py @@ -1,3 +1,9 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + """ Multi-turn token accumulation with BASE anchor pattern. diff --git a/test_vllm_tokens_direct.py b/test_vllm_tokens_direct.py index 73dea0045..591d73da6 100644 --- a/test_vllm_tokens_direct.py +++ b/test_vllm_tokens_direct.py @@ -1,4 +1,10 @@ #!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + """ Test script to verify vLLM returns prompt_ids with role headers included. From 1ef307db8d41bba37c1087d5c7c8e2f1313bd447 Mon Sep 17 00:00:00 2001 From: Felipe Mello Date: Thu, 20 Nov 2025 10:57:03 -0800 Subject: [PATCH 08/11] misc --- .claude/settings.local.json | 3 +- apps/blackjack/main_v2.py | 1627 +- apps/blackjack/qwen3_1_7b.yaml | 4 +- debug/KL_CLIPPING_SUMMARY.md | 134 + debug/__init__.py | 5 + debug/analyze_loss_dump.py | 204 + debug/analyze_loss_dump_v6.py | 229 + debug/base_anchor_changes_needed.md | 511 - debug/correctness_investigation.md | 589 + debug/decode_full_dump.py | 128 + debug/decode_full_dump_v2.py | 251 + debug/demo_show_messages.py | 141 + debug/diagnose_loss_mask_v6.py | 243 + debug/follow_up_improvements.md | 200 - debug/improvements/COMPARISON_TINKER.md | 169 + .../token_accumulator_v6_final_v2.py | 658 + debug/masking_comparison_summary.md | 325 + debug/prime_rl_masking_research.md | 609 + .../FINAL_CONSOLIDATED_PROPOSAL.md | 492 + debug/refactoring/OPEN_QUESTIONS.md | 381 + .../proposal_01_initial_cleanup.md | 117 + .../proposal_02_extract_accumulator.md | 146 + .../proposal_03_simplify_models.md | 171 + .../proposal_04_simplify_rollout.md | 187 + .../proposal_05_streamline_training.md | 259 + .../proposal_06_simplify_servers.md | 231 + .../proposal_07_extract_modules.md | 225 + .../refactoring/proposal_08_align_patterns.md | 222 + debug/refactoring/proposal_09_polish.md | 297 + debug/refactoring/proposal_10_production.md | 273 + debug/remaining_budget_analysis.md | 235 - debug/response_mask_usage_analysis.md | 535 + debug/rl_masking_research.md | 345 + debug/test_create_next_token_targets.py | 485 + debug/test_fixes_summary.md | 168 - debug/test_loss_alignment.py | 419 + debug/test_loss_alignment_v6.py | 463 + debug/test_loss_mask_torch_roll.py | 580 + debug/test_token_accumulator_v2.py | 610 + debug/test_token_accumulator_v3.py | 606 + debug/test_token_accumulator_validation.py | 301 +- debug/test_verl_tokenization.py | 179 + debug/test_vllm_tokens_directly.py | 304 + debug/tinker_cookbook_masking_research.md | 535 + debug/token_accumulator_fn.py | 316 - debug/token_accumulator_fn_v2.py | 253 - debug/token_accumulator_fn_v3.py | 416 - debug/token_accumulator_fn_v4.py | 86 +- debug/token_accumulator_fn_v5.py | 313 + debug/token_accumulator_fn_v6.py | 636 + ...accumulator_improvement_recommendations.md | 1107 + debug/trl_mask_diagram.txt | 133 + debug/trl_masking_research.md | 467 + debug/truncation_reason_simplification.md | 184 - debug/verify_eos_hypothesis.py | 267 + debug/verl_mask_analysis.md | 586 + debug/verl_masking_research.md | 623 + next_token_prediction_fix.md | 623 + out.txt | 63299 +++++++++++++++- out2.txt | 36451 +++++++++ src/forge/actors/reference_model.py | 31 +- src/forge/data/common.py | 10 + src/forge/util/ops.py | 116 +- 63 files changed, 117413 insertions(+), 3300 deletions(-) create mode 100644 debug/KL_CLIPPING_SUMMARY.md create mode 100644 debug/__init__.py create mode 100644 debug/analyze_loss_dump.py create mode 100644 debug/analyze_loss_dump_v6.py delete mode 100644 debug/base_anchor_changes_needed.md create mode 100644 debug/correctness_investigation.md create mode 100644 debug/decode_full_dump.py create mode 100644 debug/decode_full_dump_v2.py create mode 100644 debug/demo_show_messages.py create mode 100644 debug/diagnose_loss_mask_v6.py delete mode 100644 debug/follow_up_improvements.md create mode 100644 debug/improvements/COMPARISON_TINKER.md create mode 100644 debug/improvements/token_accumulator_v6_final_v2.py create mode 100644 debug/masking_comparison_summary.md create mode 100644 debug/prime_rl_masking_research.md create mode 100644 debug/refactoring/FINAL_CONSOLIDATED_PROPOSAL.md create mode 100644 debug/refactoring/OPEN_QUESTIONS.md create mode 100644 debug/refactoring/proposal_01_initial_cleanup.md create mode 100644 debug/refactoring/proposal_02_extract_accumulator.md create mode 100644 debug/refactoring/proposal_03_simplify_models.md create mode 100644 debug/refactoring/proposal_04_simplify_rollout.md create mode 100644 debug/refactoring/proposal_05_streamline_training.md create mode 100644 debug/refactoring/proposal_06_simplify_servers.md create mode 100644 debug/refactoring/proposal_07_extract_modules.md create mode 100644 debug/refactoring/proposal_08_align_patterns.md create mode 100644 debug/refactoring/proposal_09_polish.md create mode 100644 debug/refactoring/proposal_10_production.md delete mode 100644 debug/remaining_budget_analysis.md create mode 100644 debug/response_mask_usage_analysis.md create mode 100644 debug/rl_masking_research.md create mode 100644 debug/test_create_next_token_targets.py delete mode 100644 debug/test_fixes_summary.md create mode 100644 debug/test_loss_alignment.py create mode 100644 debug/test_loss_alignment_v6.py create mode 100644 debug/test_loss_mask_torch_roll.py create mode 100644 debug/test_token_accumulator_v2.py create mode 100644 debug/test_token_accumulator_v3.py create mode 100644 debug/test_verl_tokenization.py create mode 100644 debug/test_vllm_tokens_directly.py create mode 100644 debug/tinker_cookbook_masking_research.md delete mode 100644 debug/token_accumulator_fn.py delete mode 100644 debug/token_accumulator_fn_v2.py delete mode 100644 debug/token_accumulator_fn_v3.py create mode 100644 debug/token_accumulator_fn_v5.py create mode 100644 debug/token_accumulator_fn_v6.py create mode 100644 debug/token_accumulator_improvement_recommendations.md create mode 100644 debug/trl_mask_diagram.txt create mode 100644 debug/trl_masking_research.md delete mode 100644 debug/truncation_reason_simplification.md create mode 100644 debug/verify_eos_hypothesis.py create mode 100644 debug/verl_mask_analysis.md create mode 100644 debug/verl_masking_research.md create mode 100644 next_token_prediction_fix.md create mode 100644 out2.txt create mode 100644 src/forge/data/common.py diff --git a/.claude/settings.local.json b/.claude/settings.local.json index 28592968a..7d7137bcd 100644 --- a/.claude/settings.local.json +++ b/.claude/settings.local.json @@ -10,7 +10,8 @@ "Bash(lsof:*)", "Bash(xargs:*)", "Bash(test:*)", - "Bash(python3:*)" + "Bash(python3:*)", + "Bash(nvidia-smi:*)" ], "deny": [], "ask": [] diff --git a/apps/blackjack/main_v2.py b/apps/blackjack/main_v2.py index aa4d9c9ba..6f4c61ef8 100644 --- a/apps/blackjack/main_v2.py +++ b/apps/blackjack/main_v2.py @@ -16,10 +16,11 @@ import uuid from dataclasses import dataclass, field from enum import Enum -from functools import lru_cache -from typing import Any +from functools import lru_cache, partial +from typing import Any, Optional import requests + import torch import torch.nn.functional as F import torchstore as ts @@ -34,18 +35,18 @@ from forge.actors.trainer import TitanTrainer from forge.controller.actor import ForgeActor from forge.controller.provisioner import init_provisioner, shutdown +from forge.data.common import CROSS_ENTROPY_IGNORE_IDX from forge.observability.metric_actors import get_or_create_metric_logger from forge.observability.metrics import record_metric, Reduce from forge.observability.perf_tracker import Tracer from forge.types import LauncherConfig, ProvisionerConfig from forge.util.config import parse -from forge.util.ops import compute_logprobs +from forge.util.ops import compute_logprobs, create_shifted_targets from monarch.actor import endpoint from omegaconf import DictConfig from vllm import SamplingParams from vllm.transformers_utils.tokenizer import get_tokenizer - # ============================================================================ # Server Management Functions (from main.py) # ============================================================================ @@ -59,7 +60,7 @@ def start_openspiel_server(game_name: str, port: int): from envs.openspiel_env.server.app import app print(f"[SERVER] Starting uvicorn for game '{game_name}' on port {port}") - uvicorn.run(app, host="0.0.0.0", port=port, log_level="info") + uvicorn.run(app, host="0.0.0.0", port=port, log_level="info", access_log=False) def kill_process_on_port(port: int): @@ -94,17 +95,18 @@ class Episode: # Required fields (no defaults) episode_id: str - all_token_ids: torch.Tensor # All tokens in conversation - logprobs: torch.Tensor # Logprobs for all tokens - response_mask: torch.Tensor # Mask: 1 = assistant token, 0 = other + all_token_ids: torch.Tensor # [seq_len] + response_mask: torch.Tensor # [seq_len] + loss_mask: torch.Tensor # [seq_len] reward: float # Optional fields (with defaults) task_name: str = "blackjack" - generator_version: int = 0 + policy_version: int = 0 is_truncated: bool = False advantage: float | None = None - ref_logprobs: torch.Tensor | None = None + logprobs: torch.Tensor | None = None # [seq_len] + ref_logprobs: torch.Tensor | None = None # [seq_len] metadata: dict[str, Any] = field(default_factory=dict) message_log: list[dict[str, str]] | None = None @@ -120,345 +122,627 @@ class EnvStepResult: # ============================================================================ -# TokenAccumulator (from v5) +# TokenAccumulator # ============================================================================ -from enum import Enum -class SanityCheckMode(Enum): - """Validation mode for finalize().""" +class ValidationMode(Enum): + """Validation strictness.""" - STRICT = "strict" - DISABLE = "disable" + STRICT = "strict" # Raise on failures + WARN = "warn" # Print warnings + OFF = "off" # No validation class TruncationReason(Enum): - """Why an episode was truncated.""" + """Truncation reason.""" - MAX_TURNS = "max_turns" - AGENT_TOO_LONG = "agent_too_long" # No EOS token or exceeded budget USER_TOO_LONG = "user_too_long" + ASSISTANT_TOO_LONG = "assistant_too_long" TOOL_TOO_LONG = "tool_too_long" + MAX_NUM_TURNS = "max_num_turns" -class TokenAccumulator: +@dataclass +class EpisodeData: + """ + Episode data as tensors, ready for training. + + All tensors have shape (T,) where T is sequence length. """ - Accumulates tokens during multi-turn RL rollouts with strict budget constraints. - **IMPORTANT** Truncation behavior: - - Agent response incomplete (no EOS): Tokens are dropped, nothing accumulated - - User message too long: Truncated to fit, episode marked for dropping - Why do we need this class? - Problem: We need to track tokens as the conversation grows turn-by-turn. + token_ids: torch.Tensor # dtype=long + response_mask: torch.Tensor # dtype=bool + logprobs: torch.Tensor # dtype=float + is_truncated: bool + truncation_reason: Optional[str] = None + - Naive approach 1 - Just tokenize each message independently: - user_text = "Hello" - user_tokens = tokenizer.encode(user_text) # [9906] - WRONG! -> Missing special tokens! Should be: [<|im_start|>, user, \n, 9906, <|im_end|>] +class TokenAccumulator: + """ + Accumulate tokens for multi-turn RL episodes using vLLM tokens directly. - Naive approach 2 - Tokenize a full conversation - WRONG! -> Qwen's template strips tags from past messages, tokens don't match! - Also, hard to create mask for the tokens that are traianble + ## Why Delta Tokenization? - Solution - Delta tokenization: - We tokenize [anchor + new_message] and slice off only the new tokens, where anchor is just a dummy message to allow the tokenizer to apply the correct message tokens, e.g. <|im_start|>: + vLLM only returns assistant response tokens. We need the full conversation with + chat template tokens for training. We can't re-tokenize because it's expensive + and error-prone. - Turn 1, adding user message: - tokenize([system, empty_user, new_user]) → [...system..., ...empty_user..., ...new_user...] - slice from anchor_len → get only new_user tokens + **What we get from vLLM:** + ``` + response_tokens = [791, 19, 374, 220, 2] # ["The", "answer", "is", "4", ""] + ``` - Turn 1, adding assistant: - tokenize([system, empty_user, new_assistant]) → [...system..., ...empty_user..., ...new_assistant...] - slice from anchor_len → get only new_assistant tokens + **What we need for training:** + ``` + [1, 2, 3] # ["You", "are", "helpful"] (not trainable) + [10, 11, 12, 13] # ["What", "is", "2+2", "?"] (not trainable) + [150, 123] # ["<|im_start|>", "assistant"] (not trainable) + [791, 19, 374, 220, 2] # ["The", "answer", "is", "4", eos] (TRAINABLE!) + [151] # ["<|im_end|>"] (not trainable, Qwen only) + ``` - The anchor ([system, empty_user]) stays constant, so the chat template applies - consistent formatting to the new message, and we extract just those tokens. + **Solution:** Use an anchor conversation [system, empty_user] that never changes. + Tokenize new messages against it and extract deltas. For assistant responses, + add generation prompt prefix and any model-specific suffix. - Usage: - acc = TokenAccumulator(tokenizer, messages=[...], max_seq_len=2048, eos_token_id=...) + ## Truncation Behavior - acc.add_user_message("Hello") + - **add_user**: If truncated, adds partial message (truncated to fit budget) + - **add_assistant**: If truncated, DROPS entire response (nothing added) + - Once truncated, all subsequent adds will fail (return False) - input_text = acc.format_prompt() + ## Usage - response = model.generate(input_text, max_tokens=acc.get_remaining_budget()) + ```python + acc = TokenAccumulator(tok, [{"role": "system", "content": "Help"}], 2048, eos_id=2) - acc.add_assistant_response(response.text, response.token_ids) + # Add messages + acc.add_user("What is 2+2?") + prompt = acc.format_prompt() + response = vllm_generate(prompt) + acc.add_assistant(response.text, response.token_ids, response.logprobs) - if acc.is_truncated: - return None # Drop episode + # Show what will be trained on + acc.show_messages() - return Episode( - token_ids=acc.accumulated_tokens, - response_mask=acc.response_mask, - log_probs=acc.log_probs, - messages=messages, - ...) - """ + # Get episode data as tensors + episode = acc.get_data() + # episode.token_ids: torch.Tensor (long) + # episode.response_mask: torch.Tensor (bool, True = trainable) + # episode.logprobs: torch.Tensor (float) + ``` - # Class-level lock for thread-safe tokenizer access across all instances - _tokenizer_lock = threading.Lock() + Args: + tokenizer: HuggingFace tokenizer with apply_chat_template + messages: Initial messages (must include system message) + max_len: Maximum sequence length + eos_id: End-of-sequence token ID + thinking: Enable tags for Qwen models + validation: Validation mode (STRICT, WARN, OFF) + """ def __init__( self, tokenizer, messages: list[dict], - max_seq_len: int, - eos_token_id: int, - sanity_check_mode: SanityCheckMode = SanityCheckMode.STRICT, - ): - self.tokenizer = tokenizer - self.max_seq_len = max_seq_len - self.eos_token_id = eos_token_id - self.sanity_check_mode = sanity_check_mode - - # Core state - self.messages = [] - self.accumulated_tokens = [] - self.response_mask = [] - self.logprobs = [] - - # Truncation tracking - self.is_truncated = False - self.truncation_reason = None + max_len: int, + eos_id: int, + thinking: bool = True, + validation: ValidationMode = ValidationMode.STRICT, + ) -> None: + self._validate_init(tokenizer, messages, max_len, eos_id) + self.tokenizer = tokenizer + self.max_len = max_len + self.eos_id = eos_id + self.thinking = thinking + self.validation = validation + + # State + self.messages: list[dict] = [] + self._tokens: list[int] = [] + self._mask: list[bool] = [] + self._logprobs: list[float] = [] + self.truncated: bool = False + self.truncation_reason: Optional[TruncationReason] = None + + # Track message boundaries for efficient validation + # Each entry: (end_idx, role, should_end_with_eos) + self._message_ends: list[tuple[int, str, bool]] = [] + + # Thread safety + self._lock = threading.Lock() + + # Setup self._setup_anchor(messages) - self._initialize_messages(messages) + self._init_messages(messages) + + def __repr__(self) -> str: + status = f", truncated" if self.truncated else "" + return f"TokenAccumulator({len(self._tokens)}/{self.max_len}{status})" - # ============ Public API ============ + @property + def budget(self) -> int: + """Remaining token budget.""" + return max(0, self.max_len - len(self._tokens) - self.gen_prompt_len) - def add_user_message(self, content: str) -> bool: + def add_user(self, content: str) -> bool: """ - Add user message, truncating to fit budget if necessary. - Returns False if truncated. + Add user message. If truncated, adds partial message (truncated to fit). + + Returns: + True if not truncated, False if truncated """ - user_tokens = self._tokenize_delta({"role": "user", "content": content}, "user") - budget = self.get_remaining_budget() - original_len = len(user_tokens) - user_tokens = self._truncate_to_fit( - user_tokens, budget, TruncationReason.USER_TOO_LONG - ) + if not isinstance(content, str): + raise TypeError(f"content must be str, got {type(content)}") - if user_tokens: - self.messages.append({"role": "user", "content": content}) - self._accumulate(user_tokens, is_response=False) + msg = {"role": "user", "content": content} - return len(user_tokens) == original_len + # Tokenize [system, user] and extract delta + with self._lock: + full = self.tokenizer.apply_chat_template( + [self.anchor[0], msg], + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + # Extract user tokens by slicing off system prefix + tokens = full[self.sys_len :] - def add_assistant_response( - self, - response_text: str, - response_token_ids: list[int], - response_logprobs: list[float] | None = None, + if not tokens: + return True + + # Check budget + budget = self.budget + if budget <= 0: + self._mark_truncated(TruncationReason.USER_TOO_LONG) + return False + + # Truncate if needed (still adds partial) + was_truncated = len(tokens) > budget + if was_truncated: + tokens = tokens[:budget] + self._mark_truncated(TruncationReason.USER_TOO_LONG) + + self.messages.append(msg) + self._add_tokens(tokens, trainable=False, role="user", ends_with_eos=False) + + return not was_truncated + + def add_assistant( + self, text: str, token_ids: list[int], logprobs: Optional[list[float]] = None ) -> bool: - print(f"[TokenAccumulator] ===== ENTERED add_assistant_response =====") """ - Add assistant response. Returns False if response was truncated (no EOS). - Episode should be dropped if this returns False. - """ - # Check for truncation (missing EOS) - if response_token_ids and response_token_ids[-1] != self.eos_token_id: - return self._mark_truncated(TruncationReason.AGENT_TOO_LONG) + Add assistant response from vLLM. If truncated, DROPS entire response (nothing added). - print(f"[TokenAccumulator] About to tokenize assistant response") - print(f"[TokenAccumulator] Response text length: {len(response_text)} chars") - print( - f"[TokenAccumulator] Response token_ids length: {len(response_token_ids)} tokens" - ) - print(f"[TokenAccumulator] First 150 chars: {response_text[:150]}") + Args: + text: Response text (for message log) + token_ids: Token IDs from vLLM (must end with EOS) + logprobs: Log probabilities (optional) - # Safety check: If response is suspiciously long, warn and potentially truncate - if len(response_text) > 10000: # 10k chars is way too much for blackjack - print( - f"[TokenAccumulator] ⚠️ WARNING: Response text is {len(response_text)} chars - this may cause slow tokenization!" - ) - print(f"[TokenAccumulator] Last 150 chars: {response_text[-150:]}") + Returns: + False if truncated/invalid (response dropped), True if added successfully + """ + # Type validation + if not isinstance(text, str): + raise TypeError(f"text must be str, got {type(text)}") + if not isinstance(token_ids, list): + raise TypeError(f"token_ids must be list, got {type(token_ids)}") + + # Must have tokens and end with EOS + if not token_ids: + return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) + if token_ids[-1] != self.eos_id: + return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) + + # Check budget: generation_prompt + response + suffix + total_len = self.gen_prompt_len + len(token_ids) + len(self.suffix) + if total_len > self.budget: + return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) + + # Validate logprobs if provided + if logprobs is not None: + if not isinstance(logprobs, list): + raise TypeError(f"logprobs must be list or None") + if len(logprobs) != len(token_ids): + raise ValueError( + f"logprobs length mismatch: {len(logprobs)} != {len(token_ids)}" + ) - message = {"role": "assistant", "content": response_text} - assistant_tokens = self._tokenize_delta(message, "assistant") - print( - f"[TokenAccumulator] Tokenization complete, got {len(assistant_tokens)} tokens" + self.messages.append({"role": "assistant", "content": text}) + + # Generation prompt (not trainable) + self._add_tokens( + self.gen_prompt_tokens, + trainable=False, + logprobs=[0.0] * len(self.gen_prompt_tokens), + role="assistant_prompt", + ends_with_eos=False, ) - # Check budget - reject if would exceed max_seq_len - if len(assistant_tokens) > self.get_remaining_budget(): - return self._mark_truncated(TruncationReason.AGENT_TOO_LONG) - else: - self.messages.append({"role": "assistant", "content": response_text}) + # Response tokens (trainable) + self._add_tokens( + token_ids, + trainable=True, + logprobs=logprobs, + role="assistant", + ends_with_eos=True, + ) - # Map logprobs: vLLM returns content tokens only, align from end (EOS) - if response_logprobs and len(response_logprobs) == len(response_token_ids): - prefix_len = len(assistant_tokens) - len(response_token_ids) - logprobs = [0.0] * prefix_len + response_logprobs - else: - logprobs = None + # Suffix if needed (not trainable) + if self.suffix: + self._add_tokens( + self.suffix, + trainable=False, + logprobs=[0.0] * len(self.suffix), + role="assistant_suffix", + ends_with_eos=False, + ) - self._accumulate(assistant_tokens, is_response=True, logprobs=logprobs) return True def format_prompt(self) -> str: - """Format current conversation for generation.""" - with self._tokenizer_lock: + """Format conversation for vLLM generation.""" + with self._lock: return self.tokenizer.apply_chat_template( - self.messages, add_generation_prompt=True, tokenize=False + self.messages, + add_generation_prompt=True, + tokenize=False, + enable_thinking=self.thinking, ) - def get_remaining_budget(self) -> int: + def get_data(self) -> EpisodeData: """ - Get remaining tokens available for generation. + Convert to tensors, validate, and return episode data. + + Returns: + EpisodeData with torch tensors - We reserve generation_prompt_len tokens (e.g., "<|im_start|>assistant\n") - because format_prompt() adds these when preparing input for the model. + Raises: + AssertionError/ValueError: If validation fails in STRICT mode """ - used = len(self.accumulated_tokens) + self.generation_prompt_len - return max(0, self.max_seq_len - used) + # Convert to tensors + token_ids = torch.tensor(self._tokens, dtype=torch.long) + response_mask = torch.tensor(self._mask, dtype=torch.bool) + logprobs = torch.tensor(self._logprobs, dtype=torch.float) + + # Validate on tensors + if self.validation != ValidationMode.OFF: + self._validate(token_ids, response_mask, logprobs) + + return EpisodeData( + token_ids=token_ids, + response_mask=response_mask, + logprobs=logprobs, + is_truncated=self.truncated, + truncation_reason=( + self.truncation_reason.value if self.truncation_reason else None + ), + ) - def finalize(self) -> bool: + def show_messages(self, max_chars: int = 5000) -> None: """ - Validate final episode state. - Returns True if valid, raises ValueError if critical issue detected. + Show token stream with trainability highlighted. + + Uses colored text runs for readability (similar to tinker-cookbook's format_colorized). + Groups consecutive tokens with same trainability and decodes together for proper + multi-byte character handling. + + Args: + max_chars: Maximum characters to show in decoded output (default: 5000) """ - self._check_structure() + print("=" * 80) + print(f"TokenAccumulator: {len(self._tokens)}/{self.max_len} tokens") + trainable_count = sum(self._mask) + trainable_pct = 100 * trainable_count / len(self._tokens) if self._tokens else 0 + print( + f"Trainable: {trainable_count}/{len(self._tokens)} ({trainable_pct:.1f}%)" + ) + print("=" * 80) - if self.sanity_check_mode != SanityCheckMode.DISABLE: - self._check_ground_truth() + if not self._tokens: + print("(no tokens)") + print("=" * 80) + return - return True + # Show messages list + print("\nMessages:") + for i, msg in enumerate(self.messages): + role = msg["role"] + content = msg["content"] + preview = content[:100] + "..." if len(content) > 100 else content + print(f" [{i}] {role:10s} {preview!r}") + + # Show colorized token stream + print("\nToken stream:") + self._show_colorized_token_stream(max_chars) + + print("=" * 80) - # ============ Private Helpers ============ + def _show_colorized_token_stream(self, max_chars: int) -> None: + """ + Show full token stream with color coding by trainability. - def _setup_anchor(self, messages: list[dict]): + Groups consecutive tokens with same trainability into "runs" and decodes + them together. This handles multi-byte characters correctly. """ - Setup anchor conversation for delta tokenization. + chunks = [] + current_ids = [] + current_trainable = None + total_chars = 0 + + def flush_run(): + nonlocal total_chars + if not current_ids: + return + + # Decode entire run at once + with self._lock: + decoded = self.tokenizer.decode(current_ids) + + # Check if we've exceeded max_chars + if total_chars >= max_chars: + return + + # Truncate if needed + if total_chars + len(decoded) > max_chars: + remaining = max_chars - total_chars + decoded = decoded[:remaining] + "..." + + total_chars += len(decoded) + + # Color based on trainability + if current_trainable: + color_code = "\033[92m" # Green for trainable + symbol = "✓" + else: + color_code = "\033[90m" # Gray for not trainable + symbol = "·" + + # Escape special characters for display + decoded_repr = repr(decoded)[1:-1] # Remove outer quotes + chunks.append(f"{color_code}{symbol} {decoded_repr}\033[0m") + + # Group tokens into runs + for i in range(len(self._tokens)): + trainable = self._mask[i] + + # Flush when trainability changes + if trainable != current_trainable and current_ids: + flush_run() + current_ids = [] + + current_ids.append(self._tokens[i]) + current_trainable = trainable + + # Flush final run + flush_run() + + # Print runs + if chunks: + print(" " + " ".join(chunks)) - Delta tokenization: Instead of re-tokenizing the full conversation after each message, - we tokenize only the new message against a fixed anchor ([system, empty_user]). The dummy anchor is necessary to ensure that all special tokens are added. + if total_chars >= max_chars: + print(f"\n (output truncated at {max_chars} chars)") - Computes key lengths for budget calculation: - - anchor_len: tokens in [system, empty_user] - - generation_prompt_len: tokens added by add_generation_prompt=True (e.g., "<|im_start|>assistant\n") - - system_len: tokens in [system] alone + def _show_colorized_tokens(self, start_idx: int, end_idx: int) -> None: """ + DEPRECATED: Old method, kept for compatibility. + Use _show_colorized_token_stream instead. + """ + pass + + # Internal helpers + def _validate_init( + self, tokenizer, messages: list[dict], max_len: int, eos_id: int + ) -> None: + """Validate initialization parameters.""" + if not hasattr(tokenizer, "apply_chat_template"): + raise ValueError("Tokenizer must have apply_chat_template method") if not messages: - raise ValueError("Must provide at least system message") + raise ValueError("Must provide at least a system message") + if not isinstance(messages, list): + raise TypeError(f"messages must be list, got {type(messages)}") + for i, msg in enumerate(messages): + if not isinstance(msg, dict): + raise TypeError(f"Message {i} must be dict") + if "role" not in msg or "content" not in msg: + raise ValueError(f"Message {i} missing 'role' or 'content'") + if not isinstance(max_len, int) or max_len <= 0: + raise ValueError(f"max_len must be positive int, got {max_len}") + if not isinstance(eos_id, int): + raise TypeError(f"eos_id must be int, got {type(eos_id)}") + + def _setup_anchor(self, msgs: list[dict]) -> None: + """ + Setup anchor for delta tokenization and compute suffix. - system_msg = ( - messages[0] - if messages[0]["role"] == "system" + The suffix is anything after EOS in the chat template. We create a test + conversation with EOS and extract any tokens that follow it. + """ + sys = ( + msgs[0] + if msgs[0]["role"] == "system" else {"role": "system", "content": ""} ) + self.anchor = [sys, {"role": "user", "content": ""}] + + with self._lock: + # Compute generation prompt + without = self.tokenizer.apply_chat_template( + self.anchor, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + with_gen = self.tokenizer.apply_chat_template( + self.anchor, + add_generation_prompt=True, + tokenize=True, + enable_thinking=self.thinking, + ) + self.gen_prompt_tokens = with_gen[len(without) :] + self.gen_prompt_len = len(self.gen_prompt_tokens) + + # Compute system length + sys_tokens = self.tokenizer.apply_chat_template( + [sys], + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + self.sys_len = len(sys_tokens) - # Anchor: [system, empty_user] - stays constant for consistent tokenization - self.anchor = [system_msg, {"role": "user", "content": ""}] - - # Length of anchor without generation prompt - anchor_tokens = self.tokenizer.apply_chat_template( - self.anchor, add_generation_prompt=False, tokenize=True - ) - self.anchor_len = len(anchor_tokens) + # Compute suffix by tokenizing a test conversation + test_conv = [ + sys, + {"role": "user", "content": "test"}, + {"role": "assistant", "content": "response"}, + ] + test_tokens = self.tokenizer.apply_chat_template( + test_conv, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) - # Length of anchor WITH generation prompt - difference is the prompt overhead - anchor_with_gen = self.tokenizer.apply_chat_template( - self.anchor, add_generation_prompt=True, tokenize=True - ) - self.generation_prompt_len = len(anchor_with_gen) - self.anchor_len + # Find last EOS + eos_idx = -1 + for i in range(len(test_tokens) - 1, -1, -1): + if test_tokens[i] == self.eos_id: + eos_idx = i + break - # System message length alone (for user message delta slicing), e.g. full[self.system_len:] - system_tokens = self.tokenizer.apply_chat_template( - [system_msg], add_generation_prompt=False, tokenize=True - ) - self.system_len = len(system_tokens) + # Extract suffix (everything after EOS, or empty if nothing) + if eos_idx >= 0 and eos_idx < len(test_tokens) - 1: + self.suffix = test_tokens[eos_idx + 1 :] + else: + self.suffix = [] - def _initialize_messages(self, messages: list[dict]): - """Initialize conversation with provided messages.""" - if not messages: + def _init_messages(self, msgs: list[dict]) -> None: + """Initialize with starting messages.""" + if not msgs: return - initial_tokens = self.tokenizer.apply_chat_template( - messages, add_generation_prompt=False, tokenize=True - ) + with self._lock: + tokens = self.tokenizer.apply_chat_template( + msgs, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) - if len(initial_tokens) > self.max_seq_len: + if len(tokens) > self.max_len: self._mark_truncated(TruncationReason.USER_TOO_LONG) - initial_tokens = initial_tokens[: self.max_seq_len] + tokens = tokens[: self.max_len] - self.messages = messages.copy() - self._accumulate(initial_tokens, is_response=False) + self.messages = msgs.copy() + self._add_tokens(tokens, trainable=False, role="initial", ends_with_eos=False) - def _tokenize_delta(self, message: dict, role: str) -> list[int]: - """Tokenize single message using anchor conversation.""" - if role == "assistant": - temp = [self.anchor[0], {"role": "user", "content": ""}, message] - offset = self.anchor_len - else: # user - temp = [self.anchor[0], message] - offset = self.system_len + def _add_tokens( + self, + tokens: list[int], + trainable: bool, + logprobs: Optional[list[float]] = None, + role: str = "", + ends_with_eos: bool = False, + ) -> None: + """Add tokens to parallel arrays and track message boundary.""" + if not tokens: + return - with self._tokenizer_lock: - full = self.tokenizer.apply_chat_template( - temp, add_generation_prompt=False, tokenize=True - ) - return full[offset:] + self._tokens.extend(tokens) + self._mask.extend([trainable] * len(tokens)) + self._logprobs.extend(logprobs if logprobs else [0.0] * len(tokens)) - def _truncate_to_fit( - self, tokens: list[int], available: int, reason: TruncationReason - ) -> list[int]: - """ - Truncate tokens to fit available space. Marks truncation if needed. - Returns truncated tokens. - """ - if len(tokens) > available: - self._mark_truncated(reason) - return tokens[: max(0, available)] - return tokens - - def _accumulate( - self, tokens: list[int], is_response: bool, logprobs: list[float] | None = None - ): - """Add tokens to accumulator.""" - self.accumulated_tokens.extend(tokens) - self.response_mask.extend([int(is_response)] * len(tokens)) - self.logprobs.extend(logprobs or [0.0] * len(tokens)) + # Track message end for validation + end_idx = len(self._tokens) - 1 + self._message_ends.append((end_idx, role, ends_with_eos)) def _mark_truncated(self, reason: TruncationReason) -> bool: - """Mark episode as truncated and return False.""" - self.is_truncated = True + """Mark as truncated.""" + self.truncated = True self.truncation_reason = reason return False - def _check_structure(self): - """Verify basic structural invariants.""" - assert ( - len(self.accumulated_tokens) - == len(self.response_mask) - == len(self.logprobs) - ) - - if len(self.accumulated_tokens) > self.max_seq_len: - raise ValueError( - f"Budget overflow: {len(self.accumulated_tokens)} > {self.max_seq_len}" - ) - - def _check_ground_truth(self): - """ - Compare with ground truth tokenization. - May fail with chat templates that modify history (e.g., Qwen deletes tokens from older messages. This would cause a disparate between accumulated tokens and tokenized messages, since we accumulated the tokens with the tokens). + def _validate( + self, + token_ids: torch.Tensor, + response_mask: torch.Tensor, + logprobs: torch.Tensor, + ) -> None: """ - ground_truth = self.tokenizer.apply_chat_template( - self.messages, add_generation_prompt=False, tokenize=True - ) + Run validation checks on tensors. - if len(self.accumulated_tokens) == len(ground_truth): - return - - if self.sanity_check_mode == SanityCheckMode.STRICT: - diff = len(ground_truth) - len(self.accumulated_tokens) - raise ValueError( - f"Token count mismatch: {len(self.accumulated_tokens)} accumulated vs " - f"{len(ground_truth)} ground truth (diff: {diff}). " - f"This happens when chat template modifies history." + Args: + token_ids: Token IDs tensor (shape: T) + response_mask: Response mask tensor (shape: T) + logprobs: Log probabilities tensor (shape: T) + """ + # Check 1: Shapes match + if not (token_ids.shape == response_mask.shape == logprobs.shape): + raise AssertionError( + f"Shape mismatch: token_ids={token_ids.shape}, " + f"mask={response_mask.shape}, logprobs={logprobs.shape}" ) + # Check 2: Budget not exceeded + if len(token_ids) > self.max_len: + raise ValueError(f"Budget overflow: {len(token_ids)} > {self.max_len}") + + # Check 3: Message boundaries are correct + for end_idx, role, should_end_with_eos in self._message_ends: + if should_end_with_eos: + # Token at end_idx should be eos_id + if token_ids[end_idx].item() != self.eos_id: + msg = f"{role} at {end_idx} has token {token_ids[end_idx].item()}, expected EOS {self.eos_id}" + if self.validation == ValidationMode.STRICT: + raise ValueError(msg) + print(f"WARNING: {msg}") + + # For assistant: end_idx should be trainable + if role == "assistant" and not response_mask[end_idx].item(): + msg = f"Assistant EOS at {end_idx} is not trainable" + if self.validation == ValidationMode.STRICT: + raise ValueError(msg) + print(f"WARNING: {msg}") + + # Token after EOS should not be trainable + if end_idx + 1 < len(token_ids) and response_mask[end_idx + 1].item(): + msg = ( + f"Token after EOS at {end_idx+1} is trainable (should be False)" + ) + if self.validation == ValidationMode.STRICT: + raise ValueError(msg) + print(f"WARNING: {msg}") + + # Check 4: Prefix consistency (incremental == full tokenization) + # DISABLED: Qwen always adds think tags to LAST assistant message only, + # but in incremental accumulation every assistant response IS the last one + # at the time we add it. This causes mismatches: + # - thinking=True: missing 4 tokens (last gets think tags in full tokenization) + # - thinking=False: extra 4 tokens (first doesn't get think tags in full tokenization) + # This is expected behavior for Qwen and not a bug. + # + # with self._lock: + # full_tokens = self.tokenizer.apply_chat_template( + # self.messages, add_generation_prompt=False, tokenize=True, enable_thinking=self.thinking + # ) + # + # accumulated_len = len(token_ids) + # expected_len = len(full_tokens) + # + # if accumulated_len != expected_len: + # msg = ( + # f"Prefix consistency failed: " + # f"accumulated={accumulated_len} tokens, " + # f"expected={expected_len}" + # ) + # if self.validation == ValidationMode.STRICT: + # raise AssertionError(msg) + # print(f"WARNING: {msg}") + # ============================================================================ # BlackjackEnv (from v5) @@ -518,11 +802,25 @@ def step(self, action_text: str) -> EnvStepResult: """ # Parse action - action_name = self._parse_action(action_text) - if action_name == "INVALID": + action_name, error_type = self._parse_action(action_text) + + # Track invalid actions + is_invalid = action_name == "INVALID" + if is_invalid: self.has_invalid_action = True - action_name = "STAND" # Fallback + action_name = "STAND" # Treat invalid as STAND record_metric("game/invalid_action_rate", 1, Reduce.MEAN) + + if error_type == "NO_TAGS": + print(f"[ENV] ⚠️ INVALID action: Missing tags!") + print(f"[ENV] Text: '{action_text}...'") + record_metric("game/missing_answer_tags", 1, Reduce.SUM) + elif error_type == "INVALID_CONTENT": + print(f"[ENV] ⚠️ INVALID action: Bad content in tags!") + print(f"[ENV] Text: '{action_text}...'") + record_metric("game/invalid_answer_content", 1, Reduce.SUM) + + print(f"[ENV] Treating as STAND") else: record_metric("game/invalid_action_rate", 0, Reduce.MEAN) @@ -537,6 +835,12 @@ def step(self, action_text: str) -> EnvStepResult: # Compute reward if result.done: reward = self._compute_reward(result.reward) + + # Apply penalty for invalid action format + if self.has_invalid_action: + reward -= 10.0 # Penalty for not ending with HIT/STAND + record_metric("game/invalid_action_penalty", 1, Reduce.SUM) + # Record game outcome metrics record_metric("game/games_played", 1, Reduce.SUM) record_metric("game/average_turns", self.turn_count, Reduce.MEAN) @@ -571,15 +875,32 @@ def _format_observation(self, observation) -> str: return f"Hand: {player_total}, Dealer: {dealer_str}" - def _parse_action(self, text: str) -> str: - """Parse action from assistant text.""" - text_lower = text.lower().strip() - if text_lower.endswith("hit"): - return "HIT" - elif text_lower.endswith("stand"): - return "STAND" + def _parse_action(self, text: str) -> tuple[str, str]: + """Parse action from assistant text using tags. + + Returns: + (action, error_type): action is "HIT", "STAND", or "INVALID" + error_type is "" for valid, "NO_TAGS" or "INVALID_CONTENT" + """ + import re + + # Try to extract content from tags + match = re.search( + r"\s*(.*?)\s*", text, re.IGNORECASE | re.DOTALL + ) + + if match: + answer = match.group(1).strip().upper() + if answer == "HIT": + return ("HIT", "") + elif answer == "STAND": + return ("STAND", "") + else: + # Has tags but invalid content + return ("INVALID", "INVALID_CONTENT") else: - return "INVALID" + # No tags found + return ("INVALID", "NO_TAGS") def _compute_reward(self, env_reward: float) -> float: """Compute final reward.""" @@ -632,84 +953,63 @@ async def do_single_rollout( accumulator = TokenAccumulator( tokenizer=tokenizer, messages=messages, - max_seq_len=max_seq_len, - eos_token_id=tokenizer.eos_token_id, - sanity_check_mode=SanityCheckMode.DISABLE, # Disable in production for speed + max_len=max_seq_len, + eos_id=tokenizer.eos_token_id, + validation=ValidationMode.OFF, + thinking=False, ) try: # ============ Reset environment ============ initial_obs = env.reset() - accumulator.add_user_message(initial_obs) + accumulator.add_user(initial_obs) # ============ Multi-turn loop ============ final_reward = 0.0 turn_num = 0 game_done = False - generator_version = 0 + policy_version = 0 while not game_done and turn_num < max_turns: - print(f"\n[do_single_rollout] Turn {turn_num}") - # Check budget - remaining = accumulator.get_remaining_budget() - print(f" Remaining budget: {remaining}") - print(f" Current tokens: {len(accumulator.accumulated_tokens)}") - print(f" Max seq len: {max_seq_len}") + remaining = accumulator.budget if remaining <= 0: - print(f" ❌ No budget left, breaking") break + # Format prompt prompt = accumulator.format_prompt() # ============ Generate ============ # Create sampling params with remaining budget to prevent exceeding max_seq_len - print(f" Calling vLLM with max_tokens={remaining}") sampling_params = SamplingParams(max_tokens=remaining) responses = await policy.generate.route( prompt, sampling_params=sampling_params ) response = responses[0] - print(f" vLLM returned {len(response.token_ids)} tokens") - print(f" [DEBUG] About to get generator_version") - generator_version = ( - response.generator_version - if hasattr(response, "generator_version") - else 0 - ) - print(f" [DEBUG] Got generator_version: {generator_version}") + policy_version = response.generator_version # Extract logprobs from response - print(f" [DEBUG] About to extract logprobs") response_logprobs = ( response.logprobs if hasattr(response, "logprobs") else None ) - print(f" [DEBUG] Got logprobs: {response_logprobs is not None}") # ============ Add assistant response ============ - print(f" [DEBUG] About to access response.text") response_text = response.text - print(f" [DEBUG] Got response.text, length: {len(response_text)}") - print(f" [DEBUG] About to access response.token_ids as list") + response_token_ids_list = list( response.token_ids ) # Explicitly convert to list - print( - f" [DEBUG] Got response.token_ids, length: {len(response_token_ids_list)}" - ) - print(f" [DEBUG] About to call add_assistant_response") - success = accumulator.add_assistant_response( - response_text=response_text, - response_token_ids=response_token_ids_list, - response_logprobs=response_logprobs, + success = accumulator.add_assistant( + text=response_text, + token_ids=response_token_ids_list, + logprobs=response_logprobs, ) # If generation truncated, break if not success: - print(f" ❌ Generation failed, breaking") break # ============ Step environment ============ @@ -721,7 +1021,7 @@ async def do_single_rollout( # ============ Add environment observation ============ if not result.done: obs_text = result.observation["content"] - success = accumulator.add_user_message(obs_text) + success = accumulator.add_user(obs_text) # If env obs would exceed budget, break if not success: @@ -730,58 +1030,42 @@ async def do_single_rollout( # Check if hit max_turns - just for metadata, accumulator tracks token truncation hit_max_turns = turn_num >= max_turns and not game_done - # Optional: Validate token accumulation (useful in dev/staging) - # accumulator.finalize() + # ============ Get validated episode data ============ + episode_data = accumulator.get_data() # Record metrics once at the end - if accumulator.truncation_reason: + if episode_data.truncation_reason: record_metric( - f"episode/truncated_{accumulator.truncation_reason.value}", + f"episode/truncated_{episode_data.truncation_reason}", 1, Reduce.SUM, ) - record_metric( - "episode/total_tokens", len(accumulator.accumulated_tokens), Reduce.MEAN - ) + record_metric("episode/total_tokens", len(episode_data.token_ids), Reduce.MEAN) record_metric("episode/turns", turn_num, Reduce.MEAN) # ============ Create episode ============ - print(f"\n[do_single_rollout] Creating episode {game_id}") - print(f" Final tokens: {len(accumulator.accumulated_tokens)}") - print(f" Final mask: {len(accumulator.response_mask)}") - print(f" Final logprobs: {len(accumulator.logprobs)}") - print(f" Is truncated: {accumulator.is_truncated}") - print( - f" Truncation reason: {accumulator.truncation_reason.value if accumulator.truncation_reason else None}" - ) - print(f" Hit max turns: {hit_max_turns}") - print(f" Max seq len: {max_seq_len}") - - if len(accumulator.accumulated_tokens) > max_seq_len: - print( - f" ❌❌❌ EPISODE EXCEEDS max_seq_len by {len(accumulator.accumulated_tokens) - max_seq_len} tokens!" - ) + # Create loss_mask by shifting response_mask using torch.roll + loss_mask_tensor = torch.roll( + episode_data.response_mask, shifts=-1, dims=0 + ).float() + loss_mask_tensor[-1] = 0.0 # Last position should not train return Episode( episode_id=game_id, task_name="blackjack", - generator_version=generator_version, - is_truncated=accumulator.is_truncated, - all_token_ids=torch.tensor( - accumulator.accumulated_tokens, dtype=torch.long - ), - logprobs=torch.tensor(accumulator.logprobs, dtype=torch.float), - response_mask=torch.tensor(accumulator.response_mask, dtype=torch.float), + policy_version=policy_version, + is_truncated=episode_data.is_truncated, + all_token_ids=episode_data.token_ids, + response_mask=episode_data.response_mask, + loss_mask=loss_mask_tensor, reward=final_reward, + logprobs=episode_data.logprobs, message_log=accumulator.messages.copy(), metadata={ - "truncation_reason": ( - accumulator.truncation_reason.value - if accumulator.truncation_reason - else None - ), + "truncation_reason": episode_data.truncation_reason, "hit_max_turns": hit_max_turns, "num_turns": turn_num, + "num_trainable_tokens": episode_data.response_mask.sum().item(), **(result.metadata if "result" in locals() else {}), }, ) @@ -857,7 +1141,6 @@ class EnvironmentActor(ForgeActor): @endpoint def setup(self): self._tokenizer = get_tokenizer(self.model) - print(f"EnvironmentActor initialized (model: {self.model})") @endpoint async def get_tokenizer(self): @@ -879,12 +1162,14 @@ async def pad_token(self): def collate( batches: list[list[Episode]], + pad_id: int, ) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: """ Collates a list of batches (groups) into inputs and targets. Args: batches: List of groups, where each group is a list of Episodes + pad_id: Padding token ID from tokenizer Returns: (inputs, targets) for training @@ -893,53 +1178,31 @@ def collate( targets = [] for batch in batches: - # Find max sequence length in this batch - max_len = max(len(e.all_token_ids) for e in batch) - - # Get pad_id from tokenizer (we'll use 0 as default) - # In practice, this should come from the tokenizer - pad_id = 0 - - # Stack all tokens with padding - all_tokens = [] - response_masks = [] - ref_logprobs_list = [] - advantages_list = [] - - for e in batch: - seq_len = len(e.all_token_ids) - pad_len = max_len - seq_len - - # Pad tokens (right padding) - padded_tokens = F.pad(e.all_token_ids, (0, pad_len), value=pad_id) - all_tokens.append(padded_tokens) - - # Pad response mask (right padding with 0) - padded_mask = F.pad(e.response_mask, (0, pad_len), value=0) - response_masks.append(padded_mask) - - # Pad ref_logprobs (right padding with 0) - padded_ref_logprobs = F.pad(e.ref_logprobs, (0, pad_len), value=0.0) - ref_logprobs_list.append(padded_ref_logprobs) + # Stack all tensors (pad to max length in batch) + all_tokens = [e.all_token_ids for e in batch] + all_tokens = torch.nn.utils.rnn.pad_sequence( + all_tokens, batch_first=True, padding_value=pad_id + ) - # Advantage is scalar - advantages_list.append(e.advantage) + loss_masks = [e.loss_mask for e in batch] + loss_masks = torch.nn.utils.rnn.pad_sequence( + loss_masks, batch_first=True, padding_value=0.0 + ) - # Stack everything - all_tokens_tensor = torch.stack(all_tokens) # [b, max_len] - response_mask = torch.stack(response_masks) # [b, max_len] - ref_logprobs = torch.stack(ref_logprobs_list) # [b, max_len] - advantages = torch.tensor(advantages_list).unsqueeze(-1) # [b, 1] + ref_logprobs = [e.ref_logprobs for e in batch] + ref_logprobs = torch.nn.utils.rnn.pad_sequence( + ref_logprobs, batch_first=True, padding_value=0.0 + ) - # Input is all tokens - input = {"tokens": all_tokens_tensor} + advantages = torch.tensor([e.advantage for e in batch]).unsqueeze(-1) # [b, 1] - # Target includes response tokens (all tokens), ref_logprobs, advantages, and mask + # Create input and target dicts + input = {"tokens": all_tokens} target = { - "response": all_tokens_tensor, # Use all tokens as response + "input_ids": all_tokens, # For torch.roll in loss + "loss_mask": loss_masks, # Trainable positions "ref_logprobs": ref_logprobs, "advantages": advantages, - "padding_mask": response_mask, } inputs.append(input) @@ -949,35 +1212,282 @@ def collate( def simple_grpo_loss( - logits: torch.Tensor, - response: torch.Tensor, - ref_logprobs: torch.Tensor, - advantages: torch.Tensor, - padding_mask: torch.Tensor, + logits: torch.Tensor, # [b, seq_len, vocab] + input_ids: torch.Tensor, # [b, seq_len] + loss_mask: torch.Tensor, # [b, seq_len] float + ref_logprobs: torch.Tensor, # [b, seq_len] + advantages: torch.Tensor, # [b, 1] beta: float = 0.1, ) -> torch.Tensor: """ - Simple GRPO loss function. + GRPO loss with proper next-token prediction using torch.roll. + + Per-sequence normalization: Each sequence's loss is averaged by its own + trainable token count, then averaged across the batch. Args: - logits: Model logits [b, s, v] - response: Response tokens [b, s] - ref_logprobs: Reference model logprobs [b, s] + logits: Model logits [b, seq_len, vocab_size] + input_ids: Input token IDs [b, seq_len] + loss_mask: Loss mask [b, seq_len] - 1.0 for trainable positions + ref_logprobs: Reference logprobs [b, seq_len] advantages: Advantages [b, 1] - padding_mask: Mask for valid tokens [b, s] beta: KL penalty coefficient Returns: Loss scalar """ - logprobs: torch.Tensor = compute_logprobs(logits, response) - kl = torch.exp(ref_logprobs - logprobs) - (ref_logprobs - logprobs) - 1 + # Create targets using utility function + targets = create_shifted_targets(input_ids, loss_mask) # [b, seq_len] + + # Compute policy logprobs (ignore_index automatically zeros masked positions) + logprobs = compute_logprobs( + logits, targets, ignore_index=CROSS_ENTROPY_IGNORE_IDX + ) # [b, seq_len] - masked positions already 0.0! + + # ======================================================================== + # LOGGING: Input validation + # ======================================================================== + record_metric("loss_debug/batch_size", float(input_ids.shape[0]), Reduce.MEAN) + record_metric("loss_debug/seq_len", float(input_ids.shape[1]), Reduce.MEAN) + record_metric( + "loss_debug/num_trainable_tokens", loss_mask.sum().item(), Reduce.MEAN + ) + record_metric("loss_debug/targets_min", targets.float().min().item(), Reduce.MEAN) + record_metric("loss_debug/targets_max", targets.float().max().item(), Reduce.MEAN) + + # ======================================================================== + # LOGGING: Logprobs statistics + # ======================================================================== + # Mask logprobs for stats (only look at trainable positions) + masked_logprobs = logprobs * loss_mask + masked_ref_logprobs = ref_logprobs * loss_mask + num_trainable = loss_mask.sum().clamp(min=1.0) + + record_metric( + "loss_debug/logprobs_mean", + (masked_logprobs.sum() / num_trainable).item(), + Reduce.MEAN, + ) + record_metric( + "loss_debug/logprobs_min", + logprobs[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + record_metric( + "loss_debug/logprobs_max", + logprobs[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + record_metric( + "loss_debug/logprobs_std", + logprobs[loss_mask.bool()].std().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + + record_metric( + "loss_debug/ref_logprobs_mean", + (masked_ref_logprobs.sum() / num_trainable).item(), + Reduce.MEAN, + ) + record_metric( + "loss_debug/ref_logprobs_min", + ref_logprobs[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + record_metric( + "loss_debug/ref_logprobs_max", + ref_logprobs[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + record_metric( + "loss_debug/ref_logprobs_std", + ref_logprobs[loss_mask.bool()].std().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + + # Logprob difference + logprob_diff = ref_logprobs - logprobs + masked_logprob_diff = logprob_diff * loss_mask + record_metric( + "loss_debug/logprob_diff_mean", + (masked_logprob_diff.sum() / num_trainable).item(), + Reduce.MEAN, + ) + record_metric( + "loss_debug/logprob_diff_min", + logprob_diff[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + record_metric( + "loss_debug/logprob_diff_max", + logprob_diff[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + + # KL divergence (masked positions are 0.0, so they don't contribute) + # Following VERL's approach: clip log difference before exp for numerical stability + # See: verl/trainer/ppo/core_algos.py kl_penalty_forward() + logprob_diff_clipped = torch.clamp(logprob_diff, min=-20.0, max=20.0) + kl = torch.exp(logprob_diff_clipped) - logprob_diff_clipped - 1 + # Clip final KL to prevent extreme values + kl = torch.clamp(kl, min=-10.0, max=10.0) + + # ======================================================================== + # LOGGING: KL divergence statistics + # ======================================================================== + masked_kl = kl * loss_mask + record_metric( + "loss_debug/kl_mean", (masked_kl.sum() / num_trainable).item(), Reduce.MEAN + ) + record_metric( + "loss_debug/kl_min", + kl[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + record_metric( + "loss_debug/kl_max", + kl[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + record_metric( + "loss_debug/kl_std", + kl[loss_mask.bool()].std().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + record_metric( + "loss_debug/beta_times_kl_mean", + (beta * masked_kl.sum() / num_trainable).item(), + Reduce.MEAN, + ) + + # ======================================================================== + # LOGGING: Advantages statistics + # ======================================================================== + record_metric("loss_debug/advantages_mean", advantages.mean().item(), Reduce.MEAN) + record_metric("loss_debug/advantages_min", advantages.min().item(), Reduce.MEAN) + record_metric("loss_debug/advantages_max", advantages.max().item(), Reduce.MEAN) + record_metric("loss_debug/advantages_std", advantages.std().item(), Reduce.MEAN) + + # Policy loss per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages - per_token_loss = -(per_token_policy_loss - beta * kl) + per_token_loss = -(per_token_policy_loss - beta * kl) # [b, seq_len] + + # ======================================================================== + # LOGGING: Per-token loss statistics + # ======================================================================== + masked_policy_loss = per_token_policy_loss * loss_mask + masked_per_token_loss = per_token_loss * loss_mask + + record_metric( + "loss_debug/policy_loss_mean", + (masked_policy_loss.sum() / num_trainable).item(), + Reduce.MEAN, + ) + record_metric( + "loss_debug/policy_loss_min", + ( + per_token_policy_loss[loss_mask.bool()].min().item() + if num_trainable > 0 + else 0.0 + ), + Reduce.MEAN, + ) + record_metric( + "loss_debug/policy_loss_max", + ( + per_token_policy_loss[loss_mask.bool()].max().item() + if num_trainable > 0 + else 0.0 + ), + Reduce.MEAN, + ) + + record_metric( + "loss_debug/per_token_loss_mean", + (masked_per_token_loss.sum() / num_trainable).item(), + Reduce.MEAN, + ) + record_metric( + "loss_debug/per_token_loss_min", + per_token_loss[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + record_metric( + "loss_debug/per_token_loss_max", + per_token_loss[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + + # Masked average (per sample, then batch average) loss = ( - (per_token_loss * padding_mask).sum(dim=1) - / (padding_mask.sum(dim=1).clamp(min=1.0)) + (per_token_loss * loss_mask).sum(dim=1) / loss_mask.sum(dim=1).clamp(min=1.0) ).mean() + + # ======================================================================== + # LOGGING: Final loss + # ======================================================================== + record_metric("loss_debug/final_loss", loss.item(), Reduce.MEAN) + + # ======================================================================== + # EMERGENCY DUMP: If any value is huge, save tensors to file + # ======================================================================== + huge_threshold = 1000.0 + all_stats = [ + ("logprobs_mean", (masked_logprobs.sum() / num_trainable).item()), + ("ref_logprobs_mean", (masked_ref_logprobs.sum() / num_trainable).item()), + ("kl_mean", (masked_kl.sum() / num_trainable).item()), + ("kl_max", kl[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0), + ("advantages_mean", advantages.mean().item()), + ("advantages_max", advantages.max().item()), + ("policy_loss_mean", (masked_policy_loss.sum() / num_trainable).item()), + ( + "policy_loss_max", + ( + per_token_policy_loss[loss_mask.bool()].max().item() + if num_trainable > 0 + else 0.0 + ), + ), + ("per_token_loss_mean", (masked_per_token_loss.sum() / num_trainable).item()), + ( + "per_token_loss_max", + per_token_loss[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0, + ), + ("final_loss", loss.item()), + ] + + for name, value in all_stats: + if abs(value) > huge_threshold: + # Save all tensors to file for debugging + import datetime + + timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S") + dump_file = f"/tmp/grpo_loss_debug_{timestamp}.pt" + torch.save( + { + "logits": logits.cpu(), + "input_ids": input_ids.cpu(), + "targets": targets.cpu(), + "loss_mask": loss_mask.cpu(), + "logprobs": logprobs.cpu(), + "ref_logprobs": ref_logprobs.cpu(), + "advantages": advantages.cpu(), + "kl": kl.cpu(), + "per_token_policy_loss": per_token_policy_loss.cpu(), + "per_token_loss": per_token_loss.cpu(), + "loss": loss.cpu(), + "beta": beta, + "trigger_stat": name, + "trigger_value": value, + }, + dump_file, + ) + print(f"\n{'='*80}") + print(f"⚠️ HUGE VALUE DETECTED: {name} = {value:.2f}") + print(f"Dumped all tensors to: {dump_file}") + print(f"{'='*80}\n") + break # Only dump once + return loss @@ -1005,49 +1515,73 @@ async def drop_weights(version: int): async def main(cfg: DictConfig): """Main GRPO training loop with rollout and training processes.""" - # ---- Start OpenSpiel Server ---- # + # ---- Start Multiple OpenSpiel Servers (one per rollout thread) ---- # game_name = cfg.blackjack_env.game_name - server_port = cfg.blackjack_env.server_port + base_server_port = cfg.blackjack_env.server_port + num_rollout_threads = cfg.get("rollout_threads", 1) - # Clean up any existing server on this port - if kill_process_on_port(server_port): - print(f"Cleaned up existing server on port {server_port}") + # Start one server per rollout thread to avoid race conditions + server_processes = [] + server_ports = [] - print(f"Starting OpenSpiel server for game '{game_name}' on port {server_port}...") - server_process = multiprocessing.Process( - target=start_openspiel_server, args=(game_name, server_port) - ) - server_process.start() - - # Wait for server to be ready - print("Waiting for OpenSpiel server to be ready...") - server_ready = False - for i in range(30): # Try for 30 seconds - if not server_process.is_alive(): - print(f"[ERROR] Server process died unexpectedly!") - print(f"[ERROR] Exit code: {server_process.exitcode}") - raise RuntimeError( - f"OpenSpiel server process crashed during startup (exit code: {server_process.exitcode})" - ) + for i in range(num_rollout_threads): + server_port = base_server_port + i + server_ports.append(server_port) - try: - resp = requests.get( - f"http://localhost:{server_port}/health", - timeout=1, - proxies={"http": None, "https": None}, - ) - print(f"[DEBUG] Health check attempt {i+1}: status={resp.status_code}") - if resp.status_code == 200: - server_ready = True - print(f"✓ OpenSpiel server ready (took {i+1}s)") + # Clean up any existing server on this port + if kill_process_on_port(server_port): + print(f"Cleaned up existing server on port {server_port}") + + print( + f"Starting OpenSpiel server {i} for game '{game_name}' on port {server_port}..." + ) + server_process = multiprocessing.Process( + target=start_openspiel_server, args=(game_name, server_port) + ) + server_process.start() + server_processes.append(server_process) + + # Wait for all servers to be ready + print(f"Waiting for {num_rollout_threads} OpenSpiel servers to be ready...") + all_ready = True + for i, server_port in enumerate(server_ports): + server_ready = False + for attempt in range(30): # Try for 30 seconds per server + if not server_processes[i].is_alive(): + print(f"[ERROR] Server {i} process died unexpectedly!") + print(f"[ERROR] Exit code: {server_processes[i].exitcode}") + all_ready = False break - except Exception as e: - print(f"[DEBUG] Health check attempt {i+1} failed: {type(e).__name__}: {e}") - time.sleep(1) - if not server_ready: - server_process.terminate() - raise RuntimeError(f"OpenSpiel server never became ready on port {server_port}") + try: + resp = requests.get( + f"http://localhost:{server_port}/health", + timeout=1, + proxies={"http": None, "https": None}, + ) + if resp.status_code == 200: + server_ready = True + print( + f"✓ OpenSpiel server {i} ready on port {server_port} (took {attempt+1}s)" + ) + break + except Exception as e: + if attempt == 0: + print( + f"[DEBUG] Server {i} health check attempt {attempt+1} failed: {type(e).__name__}" + ) + time.sleep(1) + + if not server_ready: + print(f"[ERROR] Server {i} never became ready on port {server_port}") + all_ready = False + break + + if not all_ready: + # Clean up all servers and exit + for process in server_processes: + process.terminate() + raise RuntimeError("Failed to start all OpenSpiel servers") # ---- Global setups ---- # provisioner = None @@ -1067,23 +1601,29 @@ async def main(cfg: DictConfig): "model": cfg.blackjack_env.model, } + # First, initialize env_actor to get pad_id + env_actor = await EnvironmentActor.options(**cfg.actors.blackjack_env).as_actor( + **env_actor_config + ) + pad_id = await env_actor.pad_token.call_one() + + # Create collate function with pad_id + collate_fn = partial(collate, pad_id=pad_id) + + # Now initialize remaining services ( - env_actor, policy, trainer, replay_buffer, compute_advantages, ref_model, ) = await asyncio.gather( - EnvironmentActor.options(**cfg.actors.blackjack_env).as_actor( - **env_actor_config - ), Generator.options(**cfg.services.policy).as_service(**cfg.policy), TitanTrainer.options(**cfg.actors.trainer).as_actor( **cfg.trainer, loss=simple_grpo_loss ), ReplayBuffer.options(**cfg.actors.replay_buffer).as_actor( - **cfg.replay_buffer, collate=collate + **cfg.replay_buffer, collate=collate_fn ), ComputeAdvantages.options(**cfg.actors.compute_advantages).as_actor(), ReferenceModel.options(**cfg.services.ref_model).as_service(**cfg.ref_model), @@ -1117,46 +1657,67 @@ async def main(cfg: DictConfig): except Exception as e: raise RuntimeError(f"Policy warmup failed: {e}") - # ---- Test OpenSpiel server ---- # - print("Testing OpenSpiel server connection...") - test_env = OpenSpielEnv(base_url=cfg.blackjack_env.server_url) - test_env._http.trust_env = False - try: - print( - f"[DEBUG] Test env base_url={test_env._base}, timeout={test_env._timeout}" - ) - print(f"[DEBUG] Test env trust_env={test_env._http.trust_env}") - print(f"[DEBUG] Calling test_env.reset()...") - test_result = test_env.reset() - print( - f"✓ OpenSpiel server test successful, legal_actions={test_result.observation.legal_actions}" - ) - test_env.close() - except Exception as e: - print(f"[ERROR] OpenSpiel server test failed: {type(e).__name__}: {e}") - import traceback + # ---- Test OpenSpiel servers ---- # + print("Testing OpenSpiel server connections...") + for i, server_port in enumerate(server_ports): + test_url = f"http://localhost:{server_port}" + test_env = OpenSpielEnv(base_url=test_url) + test_env._http.trust_env = False + try: + test_result = test_env.reset() + print( + f"✓ Server {i} test successful (port {server_port}), legal_actions={test_result.observation.legal_actions}" + ) + test_env.close() + except Exception as e: + print(f"[ERROR] Server {i} test failed: {type(e).__name__}: {e}") + import traceback - traceback.print_exc() - raise RuntimeError(f"OpenSpiel server test failed: {e}") + traceback.print_exc() + # Clean up all servers + for process in server_processes: + process.terminate() + raise RuntimeError(f"OpenSpiel server {i} test failed: {e}") # ---- Core RL loops ---- # - async def continuous_rollouts(): + async def continuous_rollouts(thread_id: int): """Main GRPO rollout loop using new architecture.""" rollout_count = 0 pad_id = await env_actor.pad_token.call_one() tokenizer = await env_actor.get_tokenizer.call_one() - # Config - server_url = cfg.blackjack_env.server_url + # Config - use dedicated server for this thread + server_url = f"http://localhost:{server_ports[thread_id]}" max_seq_len = cfg.blackjack_env.max_seq_len max_turns = cfg.blackjack_env.max_turns group_size = cfg.group_size + print(f"[Thread {thread_id}] Using server at {server_url}") + # Initial messages initial_messages = [ { "role": "system", - "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'. You must think briefly. Do not think for long.", + "content": """You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND""", } ] @@ -1165,23 +1726,66 @@ async def continuous_rollouts(): t.start() # ============ Step 1: Create environments ============ - envs = [BlackjackEnv(server_url=server_url) for _ in range(group_size)] - - # ============ Step 2: Rollout group ============ - episodes = await do_group_rollout( - envs=envs, - policy=policy, - tokenizer=tokenizer, - max_seq_len=max_seq_len, - max_turns=max_turns, - messages=initial_messages, - ) + # Run games SEQUENTIALLY to avoid race conditions on shared server + # (each thread has its own server, but games within a thread share it) + + # ============ Step 2: Rollout group (SEQUENTIALLY) ============ + episodes = [] + for i in range(group_size): + env = BlackjackEnv(server_url=server_url) + game_id = f"game_{i}_{uuid.uuid4().hex[:8]}" + + episode = await do_single_rollout( + env=env, + policy=policy, + tokenizer=tokenizer, + max_seq_len=max_seq_len, + max_turns=max_turns, + messages=initial_messages, + game_id=game_id, + ) + episodes.append(episode) t.step("play_games") + # ============ Debug: Print first episode ============ + if episodes: + ep = episodes[0] + print(f"\n{'='*80}") + print(f"[ROLLOUT {rollout_count}] Episode 0 Debug Info") + print(f"{'='*80}") + print( + f"Reward: {ep.reward}, Truncated: {ep.is_truncated}, Turns: {ep.metadata.get('num_turns', '?')}" + ) + print( + f"Total tokens: {len(ep.all_token_ids)}, Trainable tokens: {ep.response_mask.sum().item()}" + ) + print(f"\n--- Messages ---") + for i, msg in enumerate(ep.message_log): + content_preview = ( + msg["content"][:100] + "..." + if len(msg["content"]) > 100 + else msg["content"] + ) + print(f" [{i}] {msg['role']:10s}: {content_preview}") + print(f"\n--- Decoded all_token_ids ---") + decoded_text = tokenizer.decode(ep.all_token_ids.tolist()) + print(decoded_text) + + print(f"{'='*80}\n") + print(f"\n--- decoded_response_text ---") + decoded_response_text = tokenizer.decode( + ep.all_token_ids[ep.response_mask].tolist() + ) + print(decoded_response_text) + print(f"{'='*80}\n") + # ============ Step 3: Filter groups (constant rewards) ============ rewards = [e.reward for e in episodes] if len(set(rewards)) == 1: + print( + f"[ROLLOUT {rollout_count}] ⚠️ DROPPED GROUP - All {len(episodes)} episodes have same reward: {rewards[0]}" + ) record_metric("groups/rate_dropped", 1, Reduce.MEAN) rollout_count += 1 t.stop() @@ -1189,47 +1793,46 @@ async def continuous_rollouts(): record_metric("groups/rate_dropped", 0, Reduce.MEAN) # ============ Step 4: Compute ref_model ============ - print(f"\n[continuous_rollouts] Preparing ref_model input") max_len = max(len(e.all_token_ids) for e in episodes) - print(f" Max episode length: {max_len}") - print(f" Max seq len config: {max_seq_len}") + + # Pad input_ids and loss_masks + padded_input_ids = [] + padded_loss_masks = [] for i, e in enumerate(episodes): - print( - f" Episode {i}: tokens={len(e.all_token_ids)}, truncated={e.is_truncated}" - ) - if len(e.all_token_ids) > max_seq_len: - print( - f" ❌ Episode {i} EXCEEDS max_seq_len by {len(e.all_token_ids) - max_seq_len}!" - ) + seq_len = len(e.all_token_ids) + pad_len = max_len - seq_len - padded_tokens = [ - F.pad( - e.all_token_ids, (0, max_len - len(e.all_token_ids)), value=pad_id - ) - for e in episodes - ] - input_ids = torch.stack(padded_tokens) + # Pad tokens + padded_tokens = F.pad(e.all_token_ids, (0, pad_len), value=pad_id) + padded_input_ids.append(padded_tokens) - print(f" input_ids shape: {input_ids.shape}") - print(f" Calling ref_model with max_req_tokens=0") + # Pad loss_mask + padded_mask = F.pad(e.loss_mask, (0, pad_len), value=0.0) + padded_loss_masks.append(padded_mask) - if input_ids.shape[1] > max_seq_len: - print( - f" ❌❌❌ input_ids seq_len={input_ids.shape[1]} EXCEEDS max_seq_len={max_seq_len}!" - ) - print(f" This will cause RoPE assertion error in the model!") + input_ids = torch.stack(padded_input_ids) # [batch, max_len] + loss_mask_batch = torch.stack(padded_loss_masks) # [batch, max_len] + # Call ref_model with loss_mask - returns [batch, max_len] ref_logprobs_padded = await ref_model.forward.route( - input_ids, 0, return_logprobs=True + input_ids, return_logprobs=True, loss_mask=loss_mask_batch ) + t.step("reference_model_calculate_logprobs") + # Assign ref_logprobs to episodes (unpad to original length) for i, episode in enumerate(episodes): seq_len = len(episode.all_token_ids) - episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] + episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] # [seq_len] + # Verify shape matches other tensors + assert ( + episode.ref_logprobs.shape + == episode.loss_mask.shape + == episode.all_token_ids.shape + ), f"Shape mismatch in episode {i}" - del ref_logprobs_padded, input_ids + del ref_logprobs_padded, input_ids, loss_mask_batch # ============ Step 5: Compute advantages ============ advantages = await compute_advantages.compute.call_one(episodes) @@ -1257,6 +1860,12 @@ async def continuous_rollouts(): Reduce.MEAN, ) + # Log buffer additions + if accepted: + print( + f"[BUFFER ADD] Added {len(accepted)}/{len(episodes)} episodes with policy_v={accepted[0].policy_version}" + ) + rollout_count += 1 record_metric( "main/continuous_rollouts/count_rollout_iterations", 1, Reduce.SUM @@ -1278,9 +1887,15 @@ async def continuous_training(): curr_policy_version=training_step ) if batch is None: - await asyncio.sleep(0.1) + # Log only when stuck after initial training + if training_step > 2 and training_step % 5 == 0: + print( + f"[TRAINING] Step {training_step}: Waiting for buffer to have enough data..." + ) + await asyncio.sleep(1.0) else: t.step("waiting_for_buffer") + print(f"[TRAINING] Step {training_step}: Starting training") inputs, targets = batch await trainer.train_step.call(inputs, targets) @@ -1310,7 +1925,8 @@ async def continuous_training(): num_rollout_threads = cfg.rollout_threads print(f"Starting GRPO with {num_rollout_threads} rollout threads") rollout_tasks = [ - asyncio.create_task(continuous_rollouts()) for _ in range(num_rollout_threads) + asyncio.create_task(continuous_rollouts(thread_id=i)) + for i in range(num_rollout_threads) ] training_task = asyncio.create_task(continuous_training()) @@ -1349,15 +1965,16 @@ async def continuous_training(): except asyncio.TimeoutError: print("⚠ Forge shutdown timed out after 10s, forcing exit...") - # Shutdown OpenSpiel server - print("Stopping OpenSpiel server...") - server_process.terminate() - server_process.join(timeout=2) - if server_process.is_alive(): - print("⚠ Server didn't stop gracefully, killing...") - server_process.kill() - server_process.join(timeout=1) - print("✓ OpenSpiel server stopped") + # Shutdown OpenSpiel servers + print(f"Stopping {len(server_processes)} OpenSpiel servers...") + for i, server_process in enumerate(server_processes): + server_process.terminate() + server_process.join(timeout=2) + if server_process.is_alive(): + print(f"⚠ Server {i} didn't stop gracefully, killing...") + server_process.kill() + server_process.join(timeout=1) + print("✓ All OpenSpiel servers stopped") if __name__ == "__main__": diff --git a/apps/blackjack/qwen3_1_7b.yaml b/apps/blackjack/qwen3_1_7b.yaml index d652e4164..57231e1f6 100644 --- a/apps/blackjack/qwen3_1_7b.yaml +++ b/apps/blackjack/qwen3_1_7b.yaml @@ -4,8 +4,8 @@ # The OpenSpiel server will be started automatically by the training script. # Global configuration -group_size: 4 # Number of parallel games per rollout -local_batch_size: 8 # Per-device batch size +group_size: 16 # Number of parallel games per rollout +local_batch_size: 16 # Per-device batch size max_seq_len: 2048 # Maximum tokens for full conversation (including all turns) model: "Qwen/Qwen3-1.7B" off_by_n: 1 # Off-policy tolerance diff --git a/debug/KL_CLIPPING_SUMMARY.md b/debug/KL_CLIPPING_SUMMARY.md new file mode 100644 index 000000000..fbbca344f --- /dev/null +++ b/debug/KL_CLIPPING_SUMMARY.md @@ -0,0 +1,134 @@ +# KL Clipping Implementation Summary + +## Changes Made to `apps/blackjack/main_v2.py` + +### 1. KL Divergence Clipping (Line 1327-1333) + +**Before:** +```python +kl = torch.exp(ref_logprobs - logprobs) - (ref_logprobs - logprobs) - 1 +``` + +**After:** +```python +# Following VERL's approach: clip log difference before exp for numerical stability +logprob_diff_clipped = torch.clamp(logprob_diff, min=-20.0, max=20.0) +kl = torch.exp(logprob_diff_clipped) - logprob_diff_clipped - 1 +# Clip final KL to prevent extreme values +kl = torch.clamp(kl, min=-10.0, max=10.0) +``` + +**Why This Works:** +- **First clamp [-20, 20]**: Prevents numerical overflow/underflow in `exp()` + - exp(-20) ≈ 2e-9 (very small but not zero) + - exp(20) ≈ 485M (large but not inf) +- **Second clamp [-10, 10]**: Bounds the final KL divergence + - Prevents extreme KL values from dominating the loss + - Your previous KL was **61 million** → now capped at 10.0 + +**Based on:** VERL's `kl_penalty_forward()` with "low_var_kl" estimator + +--- + +## Additional Recommendations + +### 2. Add Gradient Clipping to Config + +Your config doesn't have gradient clipping. Add this to `apps/blackjack/*.yaml`: + +```yaml +trainer: + optimizer: + name: AdamW + lr: 1e-5 + eps: 1e-8 + gradient_clipping: + max_norm: 1.0 # Clip gradients to max norm of 1.0 + lr_scheduler: + warmup_steps: 1 +``` + +**Why:** Prevents large gradient updates that can cause policy divergence (especially at step 2). + +**Typical values:** +- `max_norm: 0.5` - Conservative (used by many RL papers) +- `max_norm: 1.0` - Standard (good starting point) +- `max_norm: 5.0` - Lenient + +--- + +### 3. Consider Increasing Batch Size + +Your current config: +- `group_size: 4` (4 games per rollout) +- `local_batch_size: 8` (8 sequences per batch) + +With such small batches, a single bad episode can cause large gradient updates. + +**Recommendations:** +- Increase `group_size` to 8 or 16 +- This provides more stable advantage estimates +- Reduces variance in gradient updates + +--- + +### 4. Monitor These Metrics + +After the fix, watch these metrics in your training logs: + +``` +loss_debug/logprob_diff_mean # Should be close to 0 +loss_debug/logprob_diff_max # Should be < 20 (clipped) +loss_debug/kl_mean # Should be < 1.0 typically +loss_debug/kl_max # Should be = 10.0 (clipped) initially +``` + +If `kl_max` stays at 10.0 for many steps, it means clipping is active. You may need to: +- Reduce learning rate +- Increase beta (KL coefficient) +- Add stronger gradient clipping + +--- + +## What Was Causing the Explosion? + +Looking at your dump: +- **Position 221**: Token `\n\n` (271) predicting next token ` 8.0) +per_token_loss = per_token_loss * (~is_masked).float() +``` + +This masks tokens where the policy has diverged too far (outside [1/8, 8] ratio). diff --git a/debug/__init__.py b/debug/__init__.py new file mode 100644 index 000000000..2e41cd717 --- /dev/null +++ b/debug/__init__.py @@ -0,0 +1,5 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. diff --git a/debug/analyze_loss_dump.py b/debug/analyze_loss_dump.py new file mode 100644 index 000000000..13b1f96d5 --- /dev/null +++ b/debug/analyze_loss_dump.py @@ -0,0 +1,204 @@ +#!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Analyze the debug dump files from the loss function. +""" + +import sys + +import torch + +# Load the most recent dump file +dump_file = ( + sys.argv[1] if len(sys.argv) > 1 else "/tmp/grpo_loss_debug_20251119_140858.pt" +) + +print("=" * 80) +print(f"Loading dump file: {dump_file}") +print("=" * 80) + +data = torch.load(dump_file, map_location="cpu") + +# Print what triggered the dump +print(f"\n🔥 TRIGGER: {data['trigger_stat']} = {data['trigger_value']:.2f}") +print(f" Beta: {data['beta']}") + +# Print shapes +print("\n📊 Tensor Shapes:") +print(f" logits: {data['logits'].shape}") +print(f" input_ids: {data['input_ids'].shape}") +print(f" targets: {data['targets'].shape}") +print(f" loss_mask: {data['loss_mask'].shape}") +print(f" logprobs: {data['logprobs'].shape}") +print(f" ref_logprobs: {data['ref_logprobs'].shape}") +print(f" advantages: {data['advantages'].shape}") + +# Get basic stats +batch_size, seq_len = data["input_ids"].shape +num_trainable = data["loss_mask"].sum().item() + +print(f"\n📈 Basic Stats:") +print(f" Batch size: {batch_size}") +print(f" Sequence length: {seq_len}") +print(f" Trainable positions: {num_trainable}") + +# Analyze targets +targets = data["targets"] +input_ids = data["input_ids"] +loss_mask = data["loss_mask"] +logprobs = data["logprobs"] +ref_logprobs = data["ref_logprobs"] +kl = data["kl"] + +print(f"\n🎯 Targets Analysis:") +ignore_idx = -100 +num_ignore = (targets == ignore_idx).sum().item() +num_valid = (targets != ignore_idx).sum().item() +print(f" IGNORE positions: {num_ignore} ({100*num_ignore/(batch_size*seq_len):.1f}%)") +print(f" Valid targets: {num_valid} ({100*num_valid/(batch_size*seq_len):.1f}%)") +print(f" Trainable (loss_mask=1): {num_trainable}") + +# Check if targets align with loss_mask +targets_match_mask = ((targets != ignore_idx).float() == loss_mask).all() +print(f" Targets match loss_mask: {targets_match_mask}") + +if not targets_match_mask: + print(" ⚠️ MISMATCH DETECTED!") + mismatch_count = ((targets != ignore_idx).float() != loss_mask).sum().item() + print(f" Mismatched positions: {mismatch_count}") + +# Analyze logprobs and ref_logprobs +print(f"\n📉 Logprobs Analysis (trainable positions only):") +trainable_mask = loss_mask.bool() + +if num_trainable > 0: + lp_train = logprobs[trainable_mask] + ref_lp_train = ref_logprobs[trainable_mask] + + print(f" Logprobs:") + print(f" Mean: {lp_train.mean().item():.4f}") + print(f" Min: {lp_train.min().item():.4f}") + print(f" Max: {lp_train.max().item():.4f}") + print(f" Std: {lp_train.std().item():.4f}") + + print(f" Ref Logprobs:") + print(f" Mean: {ref_lp_train.mean().item():.4f}") + print(f" Min: {ref_lp_train.min().item():.4f}") + print(f" Max: {ref_lp_train.max().item():.4f}") + print(f" Std: {ref_lp_train.std().item():.4f}") + + # Logprob difference + diff = ref_lp_train - lp_train + print(f" Logprob Diff (ref - policy):") + print(f" Mean: {diff.mean().item():.4f}") + print(f" Min: {diff.min().item():.4f}") + print(f" Max: {diff.max().item():.4f}") + print(f" Std: {diff.std().item():.4f}") + + # Check for extreme values + extreme_diff = diff.abs() > 10 + if extreme_diff.any(): + print( + f" ⚠️ EXTREME DIFFS: {extreme_diff.sum().item()} positions with |diff| > 10" + ) + print(f" Max extreme: {diff.abs().max().item():.4f}") + +# Analyze KL divergence +print(f"\n🔥 KL Divergence Analysis (trainable positions only):") +if num_trainable > 0: + kl_train = kl[trainable_mask] + + print(f" KL:") + print(f" Mean: {kl_train.mean().item():.4f}") + print(f" Min: {kl_train.min().item():.4f}") + print(f" Max: {kl_train.max().item():.4f}") + print(f" Std: {kl_train.std().item():.4f}") + + # Check for extreme KL + extreme_kl = kl_train > 1000 + if extreme_kl.any(): + print(f" 🔥 EXTREME KL: {extreme_kl.sum().item()} positions with KL > 1000") + print(f" Max KL: {kl_train.max().item():.4f}") + +# Find the worst position +print(f"\n🔍 Finding Worst Position:") +kl_flat = kl.view(-1) +worst_idx = kl_flat.argmax().item() +worst_batch = worst_idx // seq_len +worst_pos = worst_idx % seq_len + +print(f" Position: batch={worst_batch}, pos={worst_pos}") +print(f" input_id: {input_ids[worst_batch, worst_pos].item()}") +print(f" target: {targets[worst_batch, worst_pos].item()}") +print(f" loss_mask: {loss_mask[worst_batch, worst_pos].item()}") +print(f" logprob: {logprobs[worst_batch, worst_pos].item():.4f}") +print(f" ref_logprob: {ref_logprobs[worst_batch, worst_pos].item():.4f}") +print( + f" diff: {(ref_logprobs[worst_batch, worst_pos] - logprobs[worst_batch, worst_pos]).item():.4f}" +) +print(f" KL: {kl[worst_batch, worst_pos].item():.4f}") + +# Show context around worst position +print(f"\n📝 Context around worst position (batch={worst_batch}):") +start = max(0, worst_pos - 5) +end = min(seq_len, worst_pos + 6) + +print( + f" {'Pos':>4} {'Input':>8} {'Target':>8} {'Mask':>5} {'LogP':>10} {'RefLP':>10} {'Diff':>8} {'KL':>10}" +) +print(f" {'-'*70}") +for i in range(start, end): + inp = input_ids[worst_batch, i].item() + tgt = targets[worst_batch, i].item() + mask = loss_mask[worst_batch, i].item() + lp = logprobs[worst_batch, i].item() + ref_lp = ref_logprobs[worst_batch, i].item() + diff = ref_lp - lp + kl_val = kl[worst_batch, i].item() + + tgt_str = "IGNORE" if tgt == ignore_idx else f"{tgt:6d}" + flag = " ← WORST" if i == worst_pos else "" + + print( + f" {i:4d} {inp:8d} {tgt_str:>8s} {mask:5.1f} {lp:10.4f} {ref_lp:10.4f} {diff:8.4f} {kl_val:10.4f}{flag}" + ) + +# Check if ref_logprobs are all zeros (uninitialized?) +print(f"\n🔎 Checking for Uninitialized Values:") +ref_lp_all_zero = (ref_logprobs == 0).all() +ref_lp_mostly_zero = (ref_logprobs == 0).sum().item() / (batch_size * seq_len) +print(f" Ref logprobs all zero: {ref_lp_all_zero}") +print(f" Ref logprobs fraction zero: {ref_lp_mostly_zero:.2%}") + +lp_all_zero = (logprobs == 0).all() +lp_mostly_zero = (logprobs == 0).sum().item() / (batch_size * seq_len) +print(f" Policy logprobs all zero: {lp_all_zero}") +print(f" Policy logprobs fraction zero: {lp_mostly_zero:.2%}") + +# Check if targets are actually shifted correctly +print(f"\n🔄 Checking Target Shift Correctness:") +print(" First sequence, first 20 positions:") +print( + f" {'Pos':>4} {'Input[i]':>10} {'Input[i+1]':>10} {'Target[i]':>10} {'Match':>6}" +) +print(f" {'-'*50}") +for i in range(min(20, seq_len - 1)): + inp_i = input_ids[0, i].item() + inp_next = input_ids[0, i + 1].item() + tgt_i = targets[0, i].item() + + if tgt_i == ignore_idx: + match = "N/A" + tgt_str = "IGNORE" + else: + match = "✓" if inp_next == tgt_i else "✗" + tgt_str = f"{tgt_i:8d}" + + print(f" {i:4d} {inp_i:10d} {inp_next:10d} {tgt_str:>10s} {match:>6s}") + +print("\n" + "=" * 80) diff --git a/debug/analyze_loss_dump_v6.py b/debug/analyze_loss_dump_v6.py new file mode 100644 index 000000000..4edfa67f6 --- /dev/null +++ b/debug/analyze_loss_dump_v6.py @@ -0,0 +1,229 @@ +#!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Analyze V6 loss dump files to find the culprit tokens causing KL explosion. + +Automatically loads the most recent dump files (V6 only, skips V5). +""" + +import sys + +sys.path.insert(0, "/home/felipemello/forge") + +import glob +import os +from datetime import datetime + +import torch +from vllm.transformers_utils.tokenizer import get_tokenizer + + +def find_recent_dumps(max_age_hours=2): + """Find dump files created in the last N hours.""" + dump_files = glob.glob("/tmp/grpo_loss_debug_*.pt") + + recent_dumps = [] + now = datetime.now() + + for path in dump_files: + # Extract timestamp from filename: grpo_loss_debug_YYYYMMDD_HHMMSS.pt + basename = os.path.basename(path) + timestamp_str = basename.replace("grpo_loss_debug_", "").replace(".pt", "") + + try: + file_time = datetime.strptime(timestamp_str, "%Y%m%d_%H%M%S") + age_hours = (now - file_time).total_seconds() / 3600 + + if age_hours <= max_age_hours: + recent_dumps.append((path, file_time, age_hours)) + except ValueError: + continue + + # Sort by timestamp (newest first) + recent_dumps.sort(key=lambda x: x[1], reverse=True) + return recent_dumps + + +def analyze_dump(dump_path, tokenizer): + """Analyze a single dump file and show culprit tokens.""" + print("\n" + "=" * 80) + print(f"ANALYZING: {os.path.basename(dump_path)}") + print("=" * 80) + + # Load dump + dump = torch.load(dump_path, map_location="cpu") + + # Extract tensors + input_ids = dump["input_ids"] + targets = dump["targets"] + loss_mask = dump["loss_mask"] + logprobs = dump["logprobs"] + ref_logprobs = dump["ref_logprobs"] + kl = dump["kl"] + + batch_size, seq_len = input_ids.shape + + print(f"\nDump metadata:") + print(f" Trigger stat: {dump['trigger_stat']}") + print(f" Trigger value: {dump['trigger_value']:.2f}") + print(f" Beta: {dump['beta']}") + print(f" Batch size: {batch_size}") + print(f" Sequence length: {seq_len}") + + # Find positions with masked KL + masked_kl = kl * loss_mask + + # Statistics + num_trainable = loss_mask.sum().item() + kl_mean = (masked_kl.sum() / num_trainable).item() if num_trainable > 0 else 0.0 + + print(f"\nKL statistics:") + print(f" Trainable positions: {int(num_trainable)}") + print(f" KL mean: {kl_mean:.2f}") + + # Analyze each sequence in batch + for seq_idx in range(min(batch_size, 3)): # Show first 3 sequences + print("\n" + "-" * 80) + print(f"SEQUENCE {seq_idx}") + print("-" * 80) + + seq_kl = kl[seq_idx] + seq_mask = loss_mask[seq_idx] + seq_masked_kl = masked_kl[seq_idx] + + # Find top 10 positions with highest KL + trainable_positions = torch.where(seq_mask > 0)[0] + + if len(trainable_positions) == 0: + print(" No trainable positions!") + continue + + trainable_kl_values = seq_masked_kl[trainable_positions] + top_k = min(10, len(trainable_positions)) + top_kl_values, top_indices_in_trainable = torch.topk(trainable_kl_values, top_k) + top_positions = trainable_positions[top_indices_in_trainable] + + print(f"\nTop {top_k} positions with highest KL:") + print( + f"{'Pos':>4} {'Input':>10} {'InToken':>15} {'Target':>10} {'TgtToken':>15} " + f"{'LogProb':>10} {'RefLogP':>10} {'Diff':>8} {'KL':>12}" + ) + print("-" * 120) + + for pos in top_positions: + pos_idx = pos.item() + + inp_id = input_ids[seq_idx, pos_idx].item() + inp_token = tokenizer.decode([inp_id])[:12] + + tgt_id = targets[seq_idx, pos_idx].item() + if tgt_id == -100: + tgt_token = "IGNORE" + else: + tgt_token = tokenizer.decode([tgt_id])[:12] + + lp = logprobs[seq_idx, pos_idx].item() + ref_lp = ref_logprobs[seq_idx, pos_idx].item() + diff = ref_lp - lp + kl_val = seq_kl[pos_idx].item() + + flag = "" + if kl_val > 1000: + flag = " 🔥" + + print( + f"{pos_idx:4d} {inp_id:10d} {inp_token:>15s} {tgt_id:10d} {tgt_token:>15s} " + f"{lp:10.4f} {ref_lp:10.4f} {diff:8.4f} {kl_val:12.2f}{flag}" + ) + + # Find THE position with max KL + max_kl_pos = torch.argmax(seq_masked_kl).item() + max_kl_val = seq_masked_kl[max_kl_pos].item() + + print(f"\n🔥 MAXIMUM KL position: {max_kl_pos}") + print(f" KL value: {max_kl_val:.2f}") + + inp_id = input_ids[seq_idx, max_kl_pos].item() + tgt_id = targets[seq_idx, max_kl_pos].item() + lp = logprobs[seq_idx, max_kl_pos].item() + ref_lp = ref_logprobs[seq_idx, max_kl_pos].item() + diff = ref_lp - lp + + inp_token = tokenizer.decode([inp_id]) + tgt_token = tokenizer.decode([tgt_id]) if tgt_id != -100 else "IGNORE" + + print(f" Input token: {inp_id} ({inp_token!r})") + print(f" Target token: {tgt_id} ({tgt_token!r})") + print(f" Policy logprob: {lp:.4f}") + print(f" Ref logprob: {ref_lp:.4f}") + print(f" Difference: {diff:.4f}") + print(f" exp({diff:.4f}) = {torch.exp(torch.tensor(diff)).item():.2e}") + + # Show context around max position + context_start = max(0, max_kl_pos - 5) + context_end = min(seq_len, max_kl_pos + 6) + + print(f"\n Context (positions {context_start} to {context_end-1}):") + context_tokens = input_ids[seq_idx, context_start:context_end].tolist() + context_text = tokenizer.decode(context_tokens) + print(f" {context_text!r}") + + # Show token-by-token context + print(f"\n Token-by-token context:") + for i in range(context_start, context_end): + tok_id = input_ids[seq_idx, i].item() + tok_str = tokenizer.decode([tok_id]) + mask = seq_mask[i].item() + marker = ">>> " if i == max_kl_pos else " " + print(f" {marker}[{i:3d}] {tok_id:6d} {tok_str!r:20s} (mask={mask:.1f})") + + +def main(): + print("\n" + "=" * 80) + print("V6 LOSS DUMP ANALYZER - Automatic Recent Dumps") + print("=" * 80) + + # Find recent dumps (last 2 hours) + recent_dumps = find_recent_dumps(max_age_hours=2) + + if not recent_dumps: + print("\n❌ No recent dump files found in /tmp/grpo_loss_debug_*.pt") + print(" (Looking for files created in the last 2 hours)") + return + + print(f"\n✓ Found {len(recent_dumps)} recent dump file(s):") + for path, timestamp, age_hours in recent_dumps: + size_mb = os.path.getsize(path) / (1024 * 1024) + print(f" - {os.path.basename(path)}") + print( + f" Created: {timestamp.strftime('%Y-%m-%d %H:%M:%S')} ({age_hours:.1f} hours ago)" + ) + print(f" Size: {size_mb:.1f} MB") + + # Load tokenizer + print("\n✓ Loading tokenizer...") + tokenizer = get_tokenizer("Qwen/Qwen2.5-0.5B-Instruct") + + # Analyze each dump (most recent first) + for path, timestamp, age_hours in recent_dumps[:5]: # Limit to 2 most recent + try: + analyze_dump(path, tokenizer) + except Exception as e: + print(f"\n❌ Error analyzing {os.path.basename(path)}: {e}") + import traceback + + traceback.print_exc() + + print("\n" + "=" * 80) + print("ANALYSIS COMPLETE") + print("=" * 80) + print() + + +if __name__ == "__main__": + main() diff --git a/debug/base_anchor_changes_needed.md b/debug/base_anchor_changes_needed.md deleted file mode 100644 index 3bb048859..000000000 --- a/debug/base_anchor_changes_needed.md +++ /dev/null @@ -1,511 +0,0 @@ -# Changes Needed for BASE Anchor Approach - -**Date:** 2025-01-17 -**Goal:** Document what needs to change to fix Qwen thinking tag issues - ---- - -## Current V2 Problems - -### Problem 1: Prefix Matching Breaks with Qwen -```python -# Current V2 approach -def add_user_message(self, content: str): - self.messages.append({"role": "user", "content": content}) - - # Re-tokenize FULL conversation - full_tokens = tokenizer.apply_chat_template(self.messages, ...) - - # Extract new tokens via prefix matching - new_tokens = full_tokens[len(self.all_tokens):] # ❌ BREAKS! -``` - -**Why it breaks:** -- After Turn 1: `self.all_tokens = 175` (WITH thinking tags) -- Turn 2: Qwen removes thinking tags → `full_tokens = 60` -- Slice `full_tokens[175:]` = **EMPTY!** - -### Problem 2: No Budget Enforcement -```python -def add_assistant_response(self, response_token_ids, ...): - # Just blindly adds tokens, no check if it exceeds max_seq_len! - self.all_tokens.extend(new_tokens) # ❌ Can overflow! -``` - -### Problem 3: Can't Validate Against Ground Truth -```python -def finalize(self): - ground_truth = tokenizer.apply_chat_template(self.messages, ...) - # ❌ ground_truth != self.all_tokens due to thinking tag removal -``` - ---- - -## BASE Anchor Solution (VERL Approach) - -### Core Idea -**Never re-tokenize the full conversation!** Instead: -1. Define a **fixed BASE conversation** that never changes -2. Tokenize **only deltas** (one new message at a time) -3. Use **pre-computed offsets** to slice out just the new tokens - -### BASE_CHAT_HISTORY Pattern -```python -# Fixed anchor - same system, empty user -BASE_CHAT_HISTORY = [ - {"role": "system", "content": ""}, - {"role": "user", "content": ""}, # Empty placeholder -] -``` - -**Why this works:** -- No assistant messages → Qwen never removes thinking tags -- Always same structure → consistent tokenization -- We only compute deltas relative to this base - ---- - -## Required Changes - -### 1. Initialization (`__init__`) - -**Current V2:** -```python -def __init__(self, tokenizer, messages, max_seq_len, eos_token_id, ...): - self.tokenizer = tokenizer - self.max_seq_len = max_seq_len - self.eos_token_id = eos_token_id - self.messages = messages.copy() - self.all_tokens = [] - # ... rest of init - - # Initialize with initial messages - if len(messages) > 0: - initial_tokens = tokenizer.apply_chat_template(messages, ...) - self.all_tokens.extend(initial_tokens) -``` - -**Needed for BASE Anchor:** -```python -def __init__(self, tokenizer, messages, max_seq_len, eos_token_id, ...): - self.tokenizer = tokenizer - self.max_seq_len = max_seq_len - self.eos_token_id = eos_token_id - self.messages = messages.copy() - self.all_tokens = [] - - # ✅ NEW: Extract system message - system_msg = ( - messages[0] if messages[0]["role"] == "system" - else {"role": "system", "content": ""} - ) - - # ✅ NEW: Setup BASE anchor - self.BASE_CHAT_HISTORY = [ - system_msg, - {"role": "user", "content": ""}, # Empty user - ] - - # ✅ NEW: Pre-compute base lengths - base_wo_gen = tokenizer.apply_chat_template( - self.BASE_CHAT_HISTORY, - add_generation_prompt=False, - tokenize=True, - ) - self.base_wo_gen_len = len(base_wo_gen) - - base_with_gen = tokenizer.apply_chat_template( - self.BASE_CHAT_HISTORY, - add_generation_prompt=True, - tokenize=True, - ) - self.base_with_gen_len = len(base_with_gen) - - # ✅ NEW: Store system length for user message slicing - system_tokens = tokenizer.apply_chat_template( - [system_msg], - add_generation_prompt=False, - tokenize=True, - ) - self.system_len = len(system_tokens) - - # ✅ NEW: Compute assistant overhead from base - self.assistant_overhead = self.base_with_gen_len - self.base_wo_gen_len - - # Initialize with initial messages (same as before) - if len(messages) > 0: - initial_tokens = tokenizer.apply_chat_template(messages, ...) - self.all_tokens.extend(initial_tokens) -``` - -**New instance variables:** -- `self.BASE_CHAT_HISTORY`: Fixed [system, empty_user] conversation -- `self.base_wo_gen_len`: Length of base WITHOUT generation prompt -- `self.base_with_gen_len`: Length of base WITH generation prompt -- `self.system_len`: Length of just system message -- `self.assistant_overhead`: Tokens for generation prompt - ---- - -### 2. Budget Tracking (`get_remaining_budget`) - -**Current V2:** -```python -def get_remaining_budget(self) -> int: - estimated_overhead = 10 # ❌ Hardcoded guess - return max(0, self.max_seq_len - len(self.all_tokens) - estimated_overhead) -``` - -**Needed for BASE Anchor:** -```python -def get_remaining_budget(self) -> int: - # ✅ Use pre-computed overhead - current_with_overhead = len(self.all_tokens) + self.assistant_overhead - return max(0, self.max_seq_len - current_with_overhead) -``` - -**Change:** Use actual `self.assistant_overhead` instead of hardcoded estimate. - ---- - -### 3. Adding User Messages (`add_user_message`) - -**Current V2 (BROKEN):** -```python -def add_user_message(self, content: str, check_budget: bool = True): - # Add to messages - self.messages.append({"role": "user", "content": content}) - - # ❌ Re-tokenize FULL conversation - full_tokens = self.tokenizer.apply_chat_template( - self.messages, # ❌ Full conversation! - add_generation_prompt=False, - tokenize=True, - ) - - # ❌ Prefix matching (breaks when Qwen removes thinking tags) - new_tokens = full_tokens[len(self.all_tokens):] - - # Check budget and accumulate - # ... -``` - -**Needed for BASE Anchor:** -```python -def add_user_message(self, content: str, check_budget: bool = True): - # Add to messages - self.messages.append({"role": "user", "content": content}) - - # ✅ Tokenize ONLY [system, user_new] using BASE anchor - temp_messages = [ - self.BASE_CHAT_HISTORY[0], # System - {"role": "user", "content": content}, # New user message - ] - full_with_user = self.tokenizer.apply_chat_template( - temp_messages, - add_generation_prompt=False, - tokenize=True, - ) - - # ✅ Extract only the user message tokens (slice from system_len onwards) - user_message_tokens = full_with_user[self.system_len:] - - # Check budget - success = True - if check_budget: - new_amount = len(user_message_tokens) + self.assistant_overhead - budget = self.max_seq_len - len(self.all_tokens) - - if new_amount > budget: - self.is_truncated = True - self.truncation_reason = "user_message_length" - success = False - # Truncate to fit - user_message_tokens = user_message_tokens[:max(0, budget - self.assistant_overhead)] - - # Accumulate - self.all_tokens.extend(user_message_tokens) - self.response_mask.extend([0] * len(user_message_tokens)) - self.logprobs.extend([0.0] * len(user_message_tokens)) - - return success -``` - -**Key changes:** -1. ✅ Tokenize only `[system, user_new]` instead of full conversation -2. ✅ Slice from `system_len` to get just the user tokens -3. ✅ Use actual `assistant_overhead` for budget check -4. ✅ No prefix matching needed! - ---- - -### 4. Adding Assistant Responses (`add_assistant_response`) - -**Current V2 (Partially works but has issues):** -```python -def add_assistant_response(self, response_text, response_token_ids, response_logprobs): - # Check truncation - is_truncated = ( - len(response_token_ids) > 0 - and response_token_ids[-1] != self.eos_token_id - ) - if is_truncated: - self.is_truncated = True - self.truncation_reason = "generation_hit_max_tokens" - return False - - # Add message - self.messages.append({"role": "assistant", "content": response_text}) - - # ❌ Re-tokenize FULL conversation - full_tokens = self.tokenizer.apply_chat_template( - self.messages, # ❌ Full conversation! - add_generation_prompt=False, - tokenize=True, - ) - new_tokens = full_tokens[len(self.all_tokens):] # ❌ Prefix matching - - # Accumulate and map logprobs - # ... -``` - -**Needed for BASE Anchor:** -```python -def add_assistant_response(self, response_text, response_token_ids, response_logprobs): - # Check truncation - is_truncated = ( - len(response_token_ids) > 0 - and response_token_ids[-1] != self.eos_token_id - ) - if is_truncated: - self.is_truncated = True - self.truncation_reason = "generation_hit_max_tokens" - return False - - # ✅ OPTIONAL: Check budget before adding - if len(self.all_tokens) + len(response_token_ids) + overhead > self.max_seq_len: - # This should never happen if we used get_remaining_budget() correctly - # But defensive programming is good - raise ValueError(f"Assistant response would exceed budget!") - - # Add message - self.messages.append({"role": "assistant", "content": response_text}) - - # ✅ Tokenize ONLY [system, empty_user, assistant_new] using BASE anchor - temp_messages = [ - self.BASE_CHAT_HISTORY[0], # System - {"role": "user", "content": ""}, # Empty user from base - {"role": "assistant", "content": response_text}, # New assistant - ] - full_with_assistant = self.tokenizer.apply_chat_template( - temp_messages, - add_generation_prompt=False, - tokenize=True, - ) - - # ✅ Extract only the assistant tokens (slice from base_wo_gen_len onwards) - assistant_tokens = full_with_assistant[self.base_wo_gen_len:] - - # Accumulate tokens - self.all_tokens.extend(assistant_tokens) - self.response_mask.extend([1] * len(assistant_tokens)) - - # Map logprobs: find where vLLM's tokens appear in assistant_tokens - content_start = None - if response_logprobs is not None and len(response_logprobs) == len(response_token_ids): - # Search for vLLM's token_ids in assistant_tokens - for i in range(len(assistant_tokens) - len(response_token_ids) + 1): - if assistant_tokens[i:i+len(response_token_ids)] == response_token_ids: - content_start = i - break - - # Build logprobs - if content_start is not None: - logprobs = ( - [0.0] * content_start + # Role markers before - response_logprobs + # Actual logprobs - [0.0] * (len(assistant_tokens) - content_start - len(response_token_ids)) - ) - else: - logprobs = [0.0] * len(assistant_tokens) - - self.logprobs.extend(logprobs) - - return True -``` - -**Key changes:** -1. ✅ Tokenize only `[system, empty_user, assistant_new]` instead of full conversation -2. ✅ Slice from `base_wo_gen_len` to get just the assistant tokens -3. ✅ Optional budget check for safety -4. ✅ Logprobs mapping stays the same (search for vLLM tokens) -5. ✅ No prefix matching needed! - ---- - -### 5. Validation (`finalize`) - -**Current V2:** -```python -def finalize(self, strict=None): - # ... - - # ❌ This breaks with Qwen thinking tag removal - ground_truth = self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=False, - tokenize=True, - ) - - if len(self.all_tokens) != len(ground_truth): - # Mismatch! (Expected with Qwen) -``` - -**Options for BASE Anchor:** - -**Option A: Disable strict validation** -```python -def finalize(self, strict=None): - # Just check assertions, skip ground truth comparison - assert len(self.all_tokens) == len(self.response_mask) - assert len(self.all_tokens) == len(self.logprobs) - - # ✅ Can't validate against ground truth with Qwen - # Our accumulated tokens are correct (match what was generated) - # Ground truth would be different (thinking tags removed) - - return True -``` - -**Option B: Validate only structure** -```python -def finalize(self, strict=None): - assert len(self.all_tokens) == len(self.response_mask) - assert len(self.all_tokens) == len(self.logprobs) - - # ✅ Check structural properties instead - if len(self.all_tokens) > self.max_seq_len: - raise ValueError(f"Exceeded max_seq_len: {len(self.all_tokens)} > {self.max_seq_len}") - - if not self.is_truncated: - # Check that last message is complete - # Could decode and check for proper endings - pass - - return True -``` - -**Option C: Keep ground truth check but downgrade to warning** -```python -def finalize(self, strict=None): - # ... assertions ... - - ground_truth = self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=False, - tokenize=True, - ) - - if len(self.all_tokens) != len(ground_truth): - # ⚠️ Expected with Qwen due to thinking tag removal - # Just warn, don't fail - print(f"⚠️ Token count mismatch (expected with Qwen thinking tags)") - print(f" Accumulated: {len(self.all_tokens)}, Ground truth: {len(ground_truth)}") - - return True -``` - -**Recommendation:** Use Option A or B. Can't rely on ground truth with Qwen. - ---- - -## Summary of Changes - -### New Instance Variables (in `__init__`) -```python -self.BASE_CHAT_HISTORY # [system, empty_user] -self.base_wo_gen_len # Length of base without gen prompt -self.base_with_gen_len # Length of base with gen prompt -self.system_len # Length of system message only -self.assistant_overhead # base_with_gen_len - base_wo_gen_len -``` - -### Changed Methods - -| Method | Current Approach | BASE Anchor Approach | -|--------|------------------|---------------------| -| `__init__` | Simple initialization | ✅ Add BASE setup + pre-compute lengths | -| `get_remaining_budget` | Hardcoded overhead (10) | ✅ Use `self.assistant_overhead` | -| `add_user_message` | Re-tokenize full conversation | ✅ Tokenize `[system, user_new]`, slice from `system_len` | -| `add_assistant_response` | Re-tokenize full conversation | ✅ Tokenize `[system, empty_user, assistant_new]`, slice from `base_wo_gen_len` | -| `finalize` | Compare vs ground truth | ✅ Disable ground truth check (or downgrade to warning) | - ---- - -## Why This Fixes All Issues - -### ✅ Fixes Test 3 (multi-turn conversation) -**Before:** Prefix matching breaks when Qwen removes thinking tags -- `self.all_tokens = 175`, `full_tokens = 60`, `new_tokens = full_tokens[175:] = EMPTY` - -**After:** No prefix matching needed -- Tokenize only `[system, "Now say bye"]` -- Slice from `system_len` to get just the user tokens -- Works regardless of thinking tag removal in previous turns - -### ✅ Fixes Test 4 (budget overflow) -**Before:** Hardcoded overhead estimate (10 tokens) -- Actual overhead could be more, causing overflow - -**After:** Pre-computed actual overhead -- `self.assistant_overhead = base_with_gen_len - base_wo_gen_len` -- Accurate budget tracking - -### ✅ Fixes logprobs mapping -**Before:** Same approach (search for vLLM tokens) - -**After:** Same approach but with correct tokens -- Still search for `response_token_ids` in `assistant_tokens` -- But now `assistant_tokens` are correctly extracted via BASE anchor - -### ✅ Enables proper validation -**Before:** Can't validate because ground truth differs - -**After:** Skip ground truth comparison -- We know our accumulation is correct -- It matches what was actually generated -- Ground truth would differ due to Qwen's behavior - ---- - -## Migration Checklist - -- [ ] Add BASE_CHAT_HISTORY setup in `__init__` -- [ ] Pre-compute all base lengths in `__init__` -- [ ] Update `get_remaining_budget` to use `self.assistant_overhead` -- [ ] Rewrite `add_user_message` to use delta tokenization -- [ ] Rewrite `add_assistant_response` to use delta tokenization -- [ ] Update `finalize` to disable ground truth check -- [ ] Add budget overflow check in `add_assistant_response` (defensive) -- [ ] Update tests to use `get_remaining_budget()` for max_tokens - ---- - -## Expected Behavior After Changes - -**Test 1:** ✅ Still passes (no changes needed to test) - -**Test 2:** ✅ Still passes (truncation detection works the same) - -**Test 3:** ✅ Now passes! -- User message "Now say bye" gets added correctly -- Total tokens increases to ~190 -- No prefix matching, so Qwen's thinking tag removal doesn't break it - -**Test 4:** ✅ Now passes! -- Accurate budget tracking prevents overflow -- If test uses `get_remaining_budget()`, generation won't exceed 150 tokens - ---- - -**End of Document** diff --git a/debug/correctness_investigation.md b/debug/correctness_investigation.md new file mode 100644 index 000000000..8f48c85ee --- /dev/null +++ b/debug/correctness_investigation.md @@ -0,0 +1,589 @@ +# Multi-Turn RL Training Correctness Investigation (UPDATED) + +**Date:** 2025-11-19 +**Code:** `apps/blackjack/main_v2.py` +**Objective:** Root-cause analysis and first-principles fix for next-token prediction in GRPO training + +--- + +## Executive Summary + +### THE FUNDAMENTAL PROBLEM + +**Current Implementation Confuses "Response Tokens" with "Trainable Positions"** + +- **response_mask marks which tokens ARE responses** (the generated output) +- **But we need a mask for which POSITIONS contribute to loss** (shifted by 1!) +- These are NOT the same due to next-token prediction shift + +### Root Causes Identified: + +1. **❌ CRITICAL: Logits-Tokens Misalignment** - `compute_logprobs` uses wrong positions +2. **❌ CRITICAL: Mask Naming Confusion** - "response_mask" should be "response_token_mask" +3. **❌ CRITICAL: Missing Training Mask** - Need `training_mask[i] = 1.0 if response_token_mask[i+1]` +4. **❌ Targets Created But Unused** - Extra computation that's never used + +--- + +## Part 1: Understanding Next-Token Prediction + +### The Fundamental Shift + +In causal language models: + +``` +Input tokens: [A, B, C, D, E] +Model processes: A→ AB→ ABC→ ABCD→ ABCDE→ + +Logits produced: + logits[0] = P(? | A) → predicts B + logits[1] = P(? | AB) → predicts C + logits[2] = P(? | ABC) → predicts D + logits[3] = P(? | ABCD) → predicts E + logits[4] = P(? | ABCDE) → predicts F (next token after E) +``` + +**Key Insight:** `logits[i]` predicts `tokens[i+1]`, NOT `tokens[i]` + +### Why This Matters for Masks + +``` +Sequence: [System, User, Agent_Response, EOS, User, ...] + +response_token_mask: [0, 0, 1, 1, 0, ...] + ↑ ↑ ↑ ↑ ↑ + Which tokens ARE responses + +training_mask: [0, 1, 1, 0, 0, ...] + ↑ ↑ ↑ ↑ ↑ + Which POSITIONS contribute to loss + +Position 1 predicts token 2 (Agent_Response) → trainable! +Position 2 predicts token 3 (EOS) → trainable! +Position 3 predicts token 4 (User) → NOT trainable! (don't predict after EOS) +``` + +**Formula:** `training_mask[i] = 1.0 if (response_token_mask[i+1] == 1 AND tokens[i] != EOS)` + +--- + +## Part 2: How Other Libraries Handle This + +### 2.1 VERL Approach + +**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` + +VERL **explicitly separates** three different masks: + +1. **`attention_mask`** - Valid tokens vs padding (for attention ops) +2. **`response_mask`** - Which tokens are responses (what was generated) +3. **`loss_mask`** - Which positions contribute to loss (trainable positions) + +**Key Code:** +```python +class AsyncRolloutRequest: + loss_mask: Optional[torch.Tensor] = None # Trainable positions + response_mask: Optional[torch.Tensor] = None # Response tokens + +# When adding assistant message: +self._update_input_ids(new_tokens, attention_mask=True, loss_mask=True) + +# When adding user message: +self._update_input_ids(new_tokens, attention_mask=True, loss_mask=False) +``` + +**Loss Computation:** +```python +# File: verl/workers/roles/utils/losses.py +response_mask = data["response_mask"].to(bool) +loss = -masked_sum(log_prob, response_mask) / batch_num_tokens +``` + +**Insight:** VERL uses `response_mask` in loss, but this is actually the loss_mask (confusing naming). They handle the shift by rolling the mask. + +### 2.2 TRL Approach + +**File:** `/home/felipemello/forge/trl` (multiple files) + +TRL uses **`completion_mask`** to mark trainable tokens: + +```python +completion_mask = torch.ones_like(completion_ids) # All response tokens trainable +completion_mask = completion_mask * (~is_truncated) # Except truncated ones + +# Loss: +masked_loss = per_token_loss * completion_mask +loss = masked_loss.sum() / completion_mask.sum() +``` + +**Insight:** TRL's `completion_mask` marks response tokens, and they apply it directly in loss (assumes logprobs are already properly aligned). + +### 2.3 Prime-RL Approach + +**File:** `/home/felipemello/forge/prime-rl/src/prime_rl/trainer/rl/loss.py` + +Prime-RL explicitly passes **`loss_mask`** to the loss function: + +```python +def compute_loss( + trainer_logprobs: Float[Tensor, "seq"], + inference_logprobs: Float[Tensor, "seq"], + advantages: Float[Tensor, "seq"], + loss_mask: Bool[Tensor, "seq"], # <-- Explicit trainable positions mask + ... +): + # Apply mask + keep_mask = loss_mask & ~is_masked + loss = (-importance_ratio * advantages)[keep_mask].sum() +``` + +**Insight:** Prime-RL makes it explicit - `loss_mask` indicates which positions are trainable. + +### 2.4 Common Pattern Across Libraries + +All three libraries: +1. **Store a mask with episodes** (response_mask, completion_mask, or loss_mask) +2. **Use it in loss computation** via element-wise multiplication or indexing +3. **Treat mask as float (0.0/1.0)** for easy multiplication in loss + +**None of them derive the mask from targets!** The mask is a first-class citizen in the episode data. + +--- + +## Part 3: Current Implementation Issues + +### Issue 1: ❌ Logits-Tokens Misalignment in `compute_logprobs` + +**Location:** `apps/blackjack/main_v2.py` line 1020, `src/forge/actors/reference_model.py` line 190 + +**Current Code:** +```python +# In simple_grpo_loss: +logprobs = compute_logprobs(logits, all_tokens, align=False) + +# In ReferenceModel.forward: +logprobs = compute_logprobs(logits, input_ids, align=False) +``` + +**What `compute_logprobs` does (align=False):** +```python +# From src/forge/util/ops.py +logprobs = -F.cross_entropy( + scaled_logits_fp32.reshape(-1, vocab_size), + input_ids.reshape(-1).long(), + reduction="none", +) +``` + +This computes: `logprobs[i] = log P(input_ids[i] | logits[i])` + +**But `logits[i]` predicts `input_ids[i+1]`, NOT `input_ids[i]`!** + +**Correct Approach (Option 1 - Use targets):** +```python +# Create targets (already shifted) +targets = create_next_token_targets(all_tokens, response_mask, eos_token_id) + +# Compute logprobs for targets +logprobs = compute_logprobs(logits, targets, align=False) + +# Mask out IGNORE positions +valid_mask = (targets != CROSS_ENTROPY_IGNORE_IDX) +logprobs = logprobs * valid_mask.float() +``` + +**Correct Approach (Option 2 - Manual shift):** +```python +# Shift both logits and tokens +logits_shifted = logits[:, :-1, :] # [b, seq_len-1, vocab] +tokens_to_pred = all_tokens[:, 1:] # [b, seq_len-1] + +# Compute logprobs +logprobs = compute_logprobs(logits_shifted, tokens_to_pred, align=False) + +# Pad back to original length +logprobs = F.pad(logprobs, (1, 0), value=0.0) # [b, seq_len] +``` + +### Issue 2: ❌ Mask Naming and Semantics + +**Current Name:** `response_mask` + +**Current Definition (from your comment):** +```python +response_mask: torch.Tensor # CRITICAL: Mask for training + # Shape: (seq_len,) + # 1.0 = train on this token (LLM output) + # 0.0 = skip this token (prompt, tool result) +``` + +**The Problem:** The comment says "train on this token", but due to the shift, **we actually train on the PREVIOUS position!** + +**Better Naming:** +- `response_token_mask` - Marks which tokens ARE responses +- `training_mask` or `loss_mask` - Marks which POSITIONS contribute to loss + +**Relationship:** +```python +# Convert from response tokens to trainable positions +training_mask = torch.zeros_like(response_token_mask, dtype=torch.float) +for i in range(len(tokens) - 1): + if response_token_mask[i+1] and tokens[i] != eos_token_id: + training_mask[i] = 1.0 +``` + +**Or derive from targets:** +```python +training_mask = (targets != CROSS_ENTROPY_IGNORE_IDX).float() +``` + +### Issue 3: ❌ Targets Created But Never Used + +**Created:** Line 796-798 in `do_single_rollout` +**Used:** Nowhere! (not in collate, not in loss) + +**Current `collate` function** (lines 950-957): +```python +target = { + "all_tokens": all_tokens, + "response_mask": response_masks, # This is actually response_token_mask + "ref_logprobs": ref_logprobs, + "advantages": advantages, +} +# targets field is missing! +``` + +**Options:** +1. **DELETE** `create_next_token_targets` call (unused code) +2. **USE** targets to derive training_mask: `mask = (targets != IGNORE).float()` +3. **USE** targets in loss instead of all_tokens (cleaner, more explicit) + +--- + +## Part 4: Concrete Example - "Hello there" and "I am bob" + +See `debug/test_create_next_token_targets.py` for executable code. + +### Sequence: + +``` +Index Token ID Response_Mask Target Training_Mask +----- -------- ---- ------------- ----------- ------------- +0 Prompt 1 0 IGNORE 0.0 +1 prompt 2 0 IGNORE 1.0 ← predicts "Hello" (idx 2) +2 Hello 3 1 4 (there) 1.0 ← predicts "there" +3 there 4 1 100 (EOS) 1.0 ← predicts EOS +4 EOS 100 1 IGNORE 0.0 ← don't predict after EOS +5 Prompt 5 0 IGNORE 0.0 +6 prompt 6 0 IGNORE 1.0 ← predicts "I" (idx 7) +7 I 7 1 8 (am) 1.0 ← predicts "am" +8 am 8 1 9 (bob) 1.0 ← predicts "bob" +9 bob 9 1 100 (EOS) 1.0 ← predicts EOS +10 EOS 100 1 IGNORE 0.0 ← don't predict after EOS +``` + +### Key Observations: + +1. **Response tokens (response_mask=1):** 7 tokens (Hello, there, EOS, I, am, bob, EOS) +2. **Training positions (training_mask=1):** 5 tokens (indices 1, 2, 3, 6, 7, 8, 9) +3. **The shift:** Position 1 (token="prompt") trains to predict position 2 (token="Hello") +4. **EOS handling:** EOS is in response_mask, but its position has training_mask=0 + +### Loss Computation: + +```python +# Current (WRONG): +logprobs = compute_logprobs(logits, all_tokens, align=False) # Misaligned! +masked_loss = per_token_loss * response_mask # Wrong mask! +loss = masked_loss.sum() / response_mask.sum() + +# Correct (Option 1 - fix alignment + use training_mask): +logprobs = compute_logprobs(logits[:, :-1], all_tokens[:, 1:], align=False) +logprobs = F.pad(logprobs, (1, 0), value=0.0) +training_mask = derive_training_mask(response_mask, all_tokens, eos_token_id) +masked_loss = per_token_loss * training_mask +loss = masked_loss.sum() / training_mask.sum() + +# Correct (Option 2 - use targets): +targets = create_next_token_targets(all_tokens, response_mask, eos_token_id) +training_mask = (targets != CROSS_ENTROPY_IGNORE_IDX).float() +logprobs = compute_logprobs_from_targets(logits, targets) # Helper function +masked_loss = per_token_loss * training_mask +loss = masked_loss.sum() / training_mask.sum() +``` + +--- + +## Part 5: Recommended Fix (First Principles) + +### Step 1: Update Episode Data Structure + +**In `apps/blackjack/main_v2.py` lines 92-112:** + +```python +@dataclass +class Episode: + """Episode data for GRPO training.""" + + # Required fields + episode_id: str + all_token_ids: torch.Tensor # [seq_len] - Full conversation tokens + targets: torch.Tensor # [seq_len] - Next-token targets (with IGNORE) + reward: float + + # Optional fields + task_name: str = "blackjack" + policy_version: int = 0 + is_truncated: bool = False + advantage: float | None = None + logprobs: torch.Tensor | None = None # [seq_len] + ref_logprobs: torch.Tensor | None = None # [seq_len] + metadata: dict[str, Any] = field(default_factory=dict) + message_log: list[dict[str, str]] | None = None +``` + +**Key Change:** Remove `response_mask` from Episode, keep `targets`. The training mask is derived from targets. + +### Step 2: Update Collate Function + +**In `apps/blackjack/main_v2.py` lines 914-962:** + +```python +def collate( + batches: list[list[Episode]], + pad_id: int, +) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: + inputs = [] + targets_list = [] + + for batch in batches: + # Stack all tensors + all_tokens = [e.all_token_ids for e in batch] + all_tokens = torch.nn.utils.rnn.pad_sequence( + all_tokens, batch_first=True, padding_value=pad_id + ) + + # Stack targets + targets_batch = [e.targets for e in batch] + targets_batch = torch.nn.utils.rnn.pad_sequence( + targets_batch, batch_first=True, padding_value=CROSS_ENTROPY_IGNORE_IDX + ) + + # Derive training mask from targets + training_mask = (targets_batch != CROSS_ENTROPY_IGNORE_IDX).float() + + # Stack ref_logprobs + ref_logprobs = [e.ref_logprobs for e in batch] + ref_logprobs = torch.nn.utils.rnn.pad_sequence( + ref_logprobs, batch_first=True, padding_value=0.0 + ) + + # Advantages + advantages = torch.tensor([e.advantage for e in batch]).unsqueeze(-1) + + # Create input and target dicts + input = {"tokens": all_tokens} + target = { + "targets": targets_batch, # Now included! + "training_mask": training_mask, # Derived from targets + "ref_logprobs": ref_logprobs, + "advantages": advantages, + } + + inputs.append(input) + targets_list.append(target) + + return inputs, targets_list +``` + +### Step 3: Fix `simple_grpo_loss` + +**In `apps/blackjack/main_v2.py` lines 997-1039:** + +```python +def simple_grpo_loss( + logits: torch.Tensor, # [b, seq_len, vocab] + targets: torch.Tensor, # [b, seq_len] - Next-token targets + training_mask: torch.Tensor, # [b, seq_len] - 1.0 for trainable positions + ref_logprobs: torch.Tensor, # [b, seq_len] + advantages: torch.Tensor, # [b, 1] + beta: float = 0.1, +) -> torch.Tensor: + """ + Simple GRPO loss with proper next-token prediction alignment. + + Args: + logits: Model logits [b, seq_len, vocab_size] + targets: Next-token targets [b, seq_len] (with IGNORE for non-trainable) + training_mask: 1.0 for trainable positions, 0.0 otherwise + ref_logprobs: Reference logprobs [b, seq_len] + advantages: Advantages [b, 1] + beta: KL penalty coefficient + """ + # Compute policy logprobs using targets (properly aligned) + # Option 1: Use a helper that handles IGNORE + logprobs = compute_logprobs_from_targets(logits, targets) # [b, seq_len] + + # Option 2: Manual computation + # Shift logits to align with targets + logits_shifted = logits[:, :-1, :] # [b, seq_len-1, vocab] + targets_shifted = targets[:, 1:] # [b, seq_len-1] + + # Compute logprobs + logprobs_shifted = compute_logprobs(logits_shifted, targets_shifted, align=False) + logprobs = F.pad(logprobs_shifted, (1, 0), value=0.0) # [b, seq_len] + + # Mask out IGNORE positions + logprobs = logprobs * training_mask + ref_logprobs = ref_logprobs * training_mask + + # KL divergence (only on trainable positions) + kl = torch.exp(ref_logprobs - logprobs) - (ref_logprobs - logprobs) - 1 + + # Policy loss + per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages + per_token_loss = -(per_token_policy_loss - beta * kl) + + # Masked average + loss = ( + (per_token_loss * training_mask).sum(dim=1) / (training_mask.sum(dim=1).clamp(min=1.0)) + ).mean() + + return loss +``` + +### Step 4: Fix Reference Model + +**In `src/forge/actors/reference_model.py` lines 127-194:** + +```python +@endpoint +async def forward( + self, input_ids: torch.Tensor, return_logprobs: bool, targets: torch.Tensor = None +) -> torch.Tensor: + """ + Args: + input_ids: Input token ids [batch, seq_len] + return_logprobs: Whether to return logprobs + targets: Next-token targets [batch, seq_len] (optional, for proper alignment) + """ + # ... forward pass code ... + + logits = self.model(input_ids) + + if not return_logprobs: + return logits + else: + if targets is not None: + # Use targets for proper alignment + logprobs = compute_logprobs_from_targets(logits, targets) + else: + # Fallback: manual shift + logits_shifted = logits[:, :-1, :] + tokens_shifted = input_ids[:, 1:] + logprobs = compute_logprobs(logits_shifted, tokens_shifted, align=False) + logprobs = F.pad(logprobs, (1, 0), value=0.0) + + return logprobs +``` + +### Step 5: Create Helper Function + +**In `src/forge/util/ops.py`:** + +```python +def compute_logprobs_from_targets( + logits: torch.Tensor, # [b, seq_len, vocab] + targets: torch.Tensor, # [b, seq_len] with IGNORE for non-trainable + ignore_index: int = -100, +) -> torch.Tensor: + """ + Compute log probabilities for next-token targets. + + Properly handles the shift: logits[i] predicts targets[i+1]. + Positions with targets[i] == ignore_index get logprob = 0.0. + + Args: + logits: Model logits [b, seq_len, vocab_size] + targets: Next-token targets [b, seq_len] + ignore_index: Value in targets to ignore + + Returns: + logprobs: Log probabilities [b, seq_len] + """ + batch_size, seq_len, vocab_size = logits.shape + + # Shift: logits[i] predicts targets[i+1] + # But targets are already shifted! targets[i] = all_tokens[i+1] + # So we compute: logits[i] should match targets[i] + + # Actually, there's confusion here. Let me reclarify: + # If targets[i] = all_tokens[i+1], then logits[i-1] predicts targets[i] + # So we need: logits[:-1] vs targets[1:]? No... + + # CORRECTION: targets are created such that targets[i] is what position i should predict. + # create_next_token_targets does: targets[i] = all_tokens[i+1] + # This means: at position i, we should predict targets[i] + # And logits[i] gives the distribution for position i's prediction + # So they're ALREADY aligned! + + # Cast to fp32 for numerical stability + logits_fp32 = logits.float() + + # Compute cross-entropy (negative log prob) + logprobs = -F.cross_entropy( + logits_fp32.reshape(-1, vocab_size), + targets.reshape(-1).long(), + reduction="none", + ignore_index=ignore_index, + ) + + logprobs = logprobs.reshape(batch_size, seq_len) + + # Set logprobs to 0 for ignored positions + logprobs = logprobs * (targets != ignore_index).float() + + return logprobs +``` + +--- + +## Part 6: Summary of Findings + +| Issue | Severity | Current State | Recommended Fix | +|-------|----------|---------------|-----------------| +| Logits-tokens misalignment | **CRITICAL** | ❌ Wrong alignment in compute_logprobs | Use targets or shift manually | +| Mask naming confusion | High | ❌ "response_mask" is ambiguous | Rename or use targets-derived mask | +| Targets unused | Medium | ❌ Created but never used | Use targets in loss + collate | +| Missing training_mask | High | ❌ Using response_mask incorrectly | Derive from targets: `(targets != IGNORE).float()` | + +--- + +## Part 7: Testing Plan + +1. **Run updated test script:** + ```bash + python debug/test_create_next_token_targets.py + ``` + +2. **Verify mask alignment:** + - Check that training_mask[i] = 1.0 when targets[i] != IGNORE + - Check that positions at EOS have training_mask = 0.0 + - Check that positions before EOS can have training_mask = 1.0 (to predict EOS) + +3. **Integration test:** + - Run a short training job + - Print logprobs and verify they're reasonable (not NaN, not too negative) + - Check that loss decreases over iterations + +4. **Gradient flow test:** + - Add hooks to model to track which positions get gradients + - Verify only training_mask=1.0 positions get gradients + +--- + +## Conclusion + +The root cause is **conceptual confusion between "response tokens" (what was generated) and "trainable positions" (where to compute loss)**. Due to next-token prediction's inherent shift, these are offset by 1. + +**The fix:** Use `targets` (which already encodes the shift) throughout the pipeline, and derive `training_mask` from it. This makes the code clearer and more correct. diff --git a/debug/decode_full_dump.py b/debug/decode_full_dump.py new file mode 100644 index 000000000..56177a9e8 --- /dev/null +++ b/debug/decode_full_dump.py @@ -0,0 +1,128 @@ +#!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Decode full messages from dump to understand why think tags are missing. +""" + +import sys + +sys.path.insert(0, "/home/felipemello/forge") + +import torch +from vllm.transformers_utils.tokenizer import get_tokenizer + + +def decode_full_episode(dump_path, seq_idx=0): + """Decode a full episode from dump.""" + print(f"\nLoading: {dump_path}") + dump = torch.load(dump_path, map_location="cpu") + tokenizer = get_tokenizer("Qwen/Qwen3-1.7B") # FIX: Use correct tokenizer! + + input_ids = dump["input_ids"][seq_idx] + loss_mask = dump["loss_mask"][seq_idx] + targets = dump["targets"][seq_idx] + + print(f"\n{'='*80}") + print(f"SEQUENCE {seq_idx}") + print(f"{'='*80}") + + # Decode full sequence + full_text = tokenizer.decode(input_ids.tolist()) + print("\nFULL DECODED TEXT:") + print("-" * 80) + print(full_text) + print("-" * 80) + + # Find all assistant positions + assistant_token = 77091 + assistant_positions = (input_ids == assistant_token).nonzero(as_tuple=True)[0] + + print(f"\nFound {len(assistant_positions)} assistant message(s)") + + # Decode each assistant message + for idx, pos in enumerate(assistant_positions): + pos = pos.item() + print(f"\n{'='*80}") + print(f"ASSISTANT MESSAGE {idx} (starts at position {pos})") + print(f"{'='*80}") + + # Find the extent of this message (until next special token or end) + # Look for next <|im_start|> (151644) or <|im_end|> (151645) or end + start = pos + end = len(input_ids) + + for i in range(pos + 1, len(input_ids)): + if input_ids[i].item() in [151644, 151645]: + # Found next message boundary, but include the <|im_end|> if it's there + if input_ids[i].item() == 151645: + end = i + 1 + else: + end = i + break + + # Decode this message + msg_tokens = input_ids[start:end].tolist() + msg_text = tokenizer.decode(msg_tokens) + + print(f"\nDecoded message ({end - start} tokens):") + print("-" * 80) + print(msg_text) + print("-" * 80) + + # Show token breakdown + print(f"\nToken breakdown:") + for i in range(start, min(end, start + 30)): # Show first 30 tokens + tok_id = input_ids[i].item() + tok_str = tokenizer.decode([tok_id]) + mask = loss_mask[i].item() + tgt = targets[i].item() + + # Special markers + marker = "" + if tok_id == 151667: + marker = " ← " + elif tok_id == 151668: + marker = " ← " + elif tok_id == 151645: + marker = " ← <|im_end|>" + elif tok_id == 198: + marker = " ← \\n" + elif tok_id == 271: + marker = " ← \\n\\n" + + trainable = "✓" if mask == 1.0 else "·" + print( + f" [{i:3d}] {trainable} {tok_id:6d} {tok_str!r:20s} (tgt={tgt:6d}){marker}" + ) + + if end - start > 30: + print(f" ... ({end - start - 30} more tokens)") + + +def main(): + # Analyze both dumps, focusing on sequences that failed + dumps = [ + ("/tmp/grpo_loss_debug_20251119_231139.pt", 0), # First dump, seq 0 + ( + "/tmp/grpo_loss_debug_20251119_231131.pt", + 1, + ), # Second dump, seq 1 (61M explosion) + ] + + for dump_path, seq_idx in dumps: + try: + decode_full_episode(dump_path, seq_idx) + except Exception as e: + print(f"\nError: {e}") + import traceback + + traceback.print_exc() + + +if __name__ == "__main__": + main() diff --git a/debug/decode_full_dump_v2.py b/debug/decode_full_dump_v2.py new file mode 100644 index 000000000..1c65032cd --- /dev/null +++ b/debug/decode_full_dump_v2.py @@ -0,0 +1,251 @@ +#!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Comprehensive dump analysis - show detailed table for every token. +""" + +import sys + +sys.path.insert(0, "/home/felipemello/forge") + +import torch +from vllm.transformers_utils.tokenizer import get_tokenizer + + +def analyze_dump_detailed(dump_path, seq_idx=0, max_tokens=None): + """Analyze dump with detailed per-token breakdown.""" + print(f"\nLoading: {dump_path}") + dump = torch.load(dump_path, map_location="cpu") + tokenizer = get_tokenizer("Qwen/Qwen3-1.7B") + + # Extract tensors for this sequence + input_ids = dump["input_ids"][seq_idx] + targets = dump["targets"][seq_idx] + loss_mask = dump["loss_mask"][seq_idx] + logprobs = dump.get("logprobs", None) + ref_logprobs = dump.get("ref_logprobs", None) + advantages = dump.get("advantages", None) + kl = dump.get("kl", None) + + # Get per-token data + if logprobs is not None: + logprobs = logprobs[seq_idx] + if ref_logprobs is not None: + ref_logprobs = ref_logprobs[seq_idx] + if advantages is not None: + advantages = advantages[seq_idx] + if kl is not None: + kl = kl[seq_idx] + + seq_len = len(input_ids) + if max_tokens: + seq_len = min(seq_len, max_tokens) + + print(f"\n{'='*120}") + print(f"SEQUENCE {seq_idx} - DETAILED TOKEN ANALYSIS") + print(f"{'='*120}") + print(f"Total tokens: {len(input_ids)}") + print(f"Trainable tokens: {loss_mask.sum().item():.0f}") + print(f"{'='*120}") + + # Decode full sequence for context + full_text = tokenizer.decode(input_ids.tolist()) + print(f"\n--- FULL DECODED TEXT ---") + print(full_text[:1000]) + if len(full_text) > 1000: + print(f"\n... (truncated, {len(full_text)} total chars)") + print() + + # Build header + header_parts = [ + ("Pos", 5), + ("TokenID", 8), + ("Decoded", 25), + ("Target", 8), + ("Mask", 5), + ] + + if logprobs is not None: + header_parts.append(("Policy_LP", 10)) + if ref_logprobs is not None: + header_parts.append(("Ref_LP", 10)) + if logprobs is not None and ref_logprobs is not None: + header_parts.append(("LP_Diff", 10)) + if kl is not None: + header_parts.append(("KL", 10)) + if advantages is not None: + header_parts.append(("Adv", 8)) + + # Print header + header_line = " | ".join(name.ljust(width) for name, width in header_parts) + print("=" * len(header_line)) + print(header_line) + print("=" * len(header_line)) + + # Print each token + for i in range(seq_len): + tok_id = input_ids[i].item() + tgt = targets[i].item() + mask = loss_mask[i].item() + + # Decode token + tok_str = tokenizer.decode([tok_id]) + + # Truncate and escape special chars for display + tok_str_display = repr(tok_str)[1:-1] # Remove outer quotes + if len(tok_str_display) > 23: + tok_str_display = tok_str_display[:20] + "..." + + # Special token markers + marker = "" + if tok_id == 151667: + marker = " " + elif tok_id == 151668: + marker = " " + elif tok_id == 151645: + marker = " <|im_end|>" + elif tok_id == 151644: + marker = " <|im_start|>" + elif tok_id == 77091: + marker = " [assistant]" + elif tok_id == 151643: + marker = " <|endoftext|>" + + # Add marker to display + if marker: + tok_str_display = f"{tok_str_display}{marker}" + if len(tok_str_display) > 23: + tok_str_display = tok_str_display[:23] + + # Build row + row_parts = [ + f"{i}".ljust(5), + f"{tok_id}".ljust(8), + tok_str_display.ljust(25), + f"{tgt}".ljust(8) if tgt != -100 else "IGNORE".ljust(8), + f"{mask:.1f}".ljust(5), + ] + + if logprobs is not None: + row_parts.append(f"{logprobs[i].item():>9.4f}".ljust(10)) + if ref_logprobs is not None: + row_parts.append(f"{ref_logprobs[i].item():>9.4f}".ljust(10)) + if logprobs is not None and ref_logprobs is not None: + diff = ref_logprobs[i].item() - logprobs[i].item() + row_parts.append(f"{diff:>9.4f}".ljust(10)) + if kl is not None: + kl_val = kl[i].item() + # Highlight huge KL values + if abs(kl_val) > 100: + row_parts.append(f"{kl_val:>9.2e} ⚠".ljust(10)) + else: + row_parts.append(f"{kl_val:>9.4f}".ljust(10)) + if advantages is not None: + # Advantages are per-sequence, so they're constant + if i == 0: + row_parts.append(f"{advantages.item():>7.3f}".ljust(8)) + else: + row_parts.append(" " * 8) + + # Color code trainable tokens + prefix = "✓" if mask == 1.0 else "·" + print(f"{prefix} {' | '.join(row_parts)}") + + # Add section breaks at message boundaries + if tok_id in [151645, 151644]: # <|im_end|> or <|im_start|> + print("-" * len(header_line)) + + print("=" * len(header_line)) + + # Summary statistics + print(f"\n--- SUMMARY STATISTICS ---") + print(f"Total tokens: {len(input_ids)}") + print(f"Trainable tokens: {loss_mask.sum().item():.0f}") + + if logprobs is not None: + trainable_mask = loss_mask.bool() + if trainable_mask.any(): + print(f"\nPolicy logprobs (trainable only):") + print(f" Mean: {logprobs[trainable_mask].mean().item():.4f}") + print(f" Min: {logprobs[trainable_mask].min().item():.4f}") + print(f" Max: {logprobs[trainable_mask].max().item():.4f}") + print(f" Std: {logprobs[trainable_mask].std().item():.4f}") + + if ref_logprobs is not None: + if trainable_mask.any(): + print(f"\nRef logprobs (trainable only):") + print(f" Mean: {ref_logprobs[trainable_mask].mean().item():.4f}") + print(f" Min: {ref_logprobs[trainable_mask].min().item():.4f}") + print(f" Max: {ref_logprobs[trainable_mask].max().item():.4f}") + print(f" Std: {ref_logprobs[trainable_mask].std().item():.4f}") + + if logprobs is not None and ref_logprobs is not None: + if trainable_mask.any(): + diff = ref_logprobs[trainable_mask] - logprobs[trainable_mask] + print(f"\nLogprob difference (ref - policy, trainable only):") + print(f" Mean: {diff.mean().item():.4f}") + print(f" Min: {diff.min().item():.4f}") + print(f" Max: {diff.max().item():.4f}") + print(f" Std: {diff.std().item():.4f}") + + if kl is not None: + if trainable_mask.any(): + print(f"\nKL divergence (trainable only):") + kl_trainable = kl[trainable_mask] + print(f" Mean: {kl_trainable.mean().item():.4f}") + print(f" Min: {kl_trainable.min().item():.4f}") + print(f" Max: {kl_trainable.max().item():.4f}") + print(f" Std: {kl_trainable.std().item():.4f}") + + # Check for huge values + huge_kl = (kl_trainable.abs() > 100).sum().item() + if huge_kl > 0: + print(f" ⚠️ {huge_kl} tokens with |KL| > 100!") + + if advantages is not None: + print(f"\nAdvantage: {advantages.item():.6f}") + + # Check for anomalies + print(f"\n--- ANOMALY DETECTION ---") + if logprobs is not None and trainable_mask.any(): + very_negative_lp = (logprobs[trainable_mask] < -20).sum().item() + if very_negative_lp > 0: + print(f"⚠️ {very_negative_lp} trainable tokens with logprob < -20") + + if ref_logprobs is not None and trainable_mask.any(): + very_negative_ref = (ref_logprobs[trainable_mask] < -20).sum().item() + if very_negative_ref > 0: + print(f"⚠️ {very_negative_ref} trainable tokens with ref_logprob < -20") + + # Check targets + trainable_targets = targets[trainable_mask] + if trainable_mask.any(): + if (trainable_targets == -100).any(): + print(f"⚠️ Some trainable positions have target=-100 (IGNORE)!") + + +def main(): + # Analyze both dumps + dumps = [ + ("/tmp/grpo_loss_debug_20251119_231139.pt", 0), + ("/tmp/grpo_loss_debug_20251119_231131.pt", 1), + ] + + for dump_path, seq_idx in dumps: + try: + analyze_dump_detailed(dump_path, seq_idx, max_tokens=None) + print("\n" * 3) + except Exception as e: + print(f"\nError analyzing {dump_path} seq {seq_idx}: {e}") + import traceback + + traceback.print_exc() + + +if __name__ == "__main__": + main() diff --git a/debug/demo_show_messages.py b/debug/demo_show_messages.py new file mode 100644 index 000000000..75b3e2c14 --- /dev/null +++ b/debug/demo_show_messages.py @@ -0,0 +1,141 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Demo script to showcase show_messages() with multi-turn conversations. + +This demonstrates the colorized token-level view that shows: +- Message structure (role, token range, trainability) +- Full message content +- Trainable vs non-trainable tokens highlighted +""" + +import sys +from pathlib import Path + +sys.path.insert(0, str(Path(__file__).parent.parent)) + +from debug.token_accumulator_fn_v6 import TokenAccumulator +from vllm.transformers_utils.tokenizer import get_tokenizer + + +def mock_vllm_response(tokenizer, text, include_eos=True): + """Simulate vLLM generation.""" + tokens = tokenizer.encode(text, add_special_tokens=False) + if include_eos: + tokens.append(tokenizer.eos_token_id) + return tokens + + +def demo_multi_turn_conversation(): + """Demo: Multi-turn conversation with show_messages()""" + print("=" * 80) + print("MULTI-TURN CONVERSATION DEMO") + print("=" * 80) + + tokenizer = get_tokenizer("Qwen/Qwen3-1.7B") + + acc = TokenAccumulator( + tokenizer=tokenizer, + messages=[{"role": "system", "content": "You are a helpful AI assistant."}], + max_len=2048, + eos_id=tokenizer.eos_token_id, + thinking=False, # Use thinking=False for this demo + ) + + print(f"\nInitial state:") + print(f" Tokens: {len(acc._tokens)}") + print(f" Budget: {acc.budget}") + print(f" Gen prompt length: {acc.gen_prompt_len}") + print(f" Suffix: {acc.suffix} (decoded: {tokenizer.decode(acc.suffix)!r})") + + # Turn 1 + print("\n" + "-" * 80) + print("TURN 1: User asks about Python") + print("-" * 80) + + acc.add_user("What is Python?") + response_tokens = mock_vllm_response( + tokenizer, + "Python is a high-level programming language known for its simplicity.", + ) + acc.add_assistant( + "Python is a high-level programming language known for its simplicity.", + response_tokens, + ) + + # Turn 2 + print("\n" + "-" * 80) + print("TURN 2: User asks a follow-up") + print("-" * 80) + + acc.add_user("Can you give me a simple example?") + response_tokens = mock_vllm_response( + tokenizer, "Sure! Here's a simple example:\n\nprint('Hello, World!')" + ) + acc.add_assistant( + "Sure! Here's a simple example:\n\nprint('Hello, World!')", response_tokens + ) + + # Turn 3 + print("\n" + "-" * 80) + print("TURN 3: User says thanks") + print("-" * 80) + + acc.add_user("Thanks!") + response_tokens = mock_vllm_response( + tokenizer, "You're welcome! Feel free to ask if you have more questions." + ) + acc.add_assistant( + "You're welcome! Feel free to ask if you have more questions.", response_tokens + ) + + # Show the complete conversation with colorized tokens + print("\n\n") + print("#" * 80) + print("# SHOW_MESSAGES() OUTPUT") + print("#" * 80) + acc.show_messages() + + # Show final stats + print("\n" + "=" * 80) + print("FINAL STATISTICS") + print("=" * 80) + print(f"Total tokens: {len(acc._tokens)}/{acc.max_len}") + print(f"Trainable tokens: {sum(acc._mask)}") + print(f"Non-trainable tokens: {len(acc._mask) - sum(acc._mask)}") + print(f"Trainable percentage: {100 * sum(acc._mask) / len(acc._mask):.1f}%") + print(f"Truncated: {acc.truncated}") + + +def demo_simple_conversation(): + """Demo: Simple single-turn conversation""" + print("\n\n") + print("=" * 80) + print("SIMPLE SINGLE-TURN DEMO") + print("=" * 80) + + tokenizer = get_tokenizer("Qwen/Qwen3-1.7B") + + acc = TokenAccumulator( + tokenizer=tokenizer, + messages=[{"role": "system", "content": "You are helpful."}], + max_len=2048, + eos_id=tokenizer.eos_token_id, + thinking=True, # Use thinking=True for this demo + ) + + acc.add_user("What is 2+2?") + response_tokens = mock_vllm_response(tokenizer, "The answer is 4.") + acc.add_assistant("The answer is 4.", response_tokens) + + print("\n") + acc.show_messages() + + +if __name__ == "__main__": + demo_multi_turn_conversation() + demo_simple_conversation() diff --git a/debug/diagnose_loss_mask_v6.py b/debug/diagnose_loss_mask_v6.py new file mode 100644 index 000000000..5937bfb84 --- /dev/null +++ b/debug/diagnose_loss_mask_v6.py @@ -0,0 +1,243 @@ +#!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +V6 Loss Mask Diagnostic - Directly test loss_mask creation with suffix tokens. + +This script creates a simple episode with V6 TokenAccumulator and verifies: +1. Suffix tokens are properly handled in response_mask +2. loss_mask correctly shifts response_mask via torch.roll +3. Suffix positions have loss_mask=0.0 and targets=IGNORE +4. No suffix tokens leak into training + +This addresses the KL explosion hypothesis from v6_loss_debugging_summary.md. +""" + +import sys + +sys.path.insert(0, "/home/felipemello/forge") + +import torch +from debug.token_accumulator_fn_v6 import TokenAccumulator, ValidationMode +from forge.data.common import CROSS_ENTROPY_IGNORE_IDX +from forge.util.ops import create_shifted_targets +from vllm.transformers_utils.tokenizer import get_tokenizer + + +def test_loss_mask_with_suffix(): + """Test loss_mask creation with V6 suffix tokens.""" + print("\n" + "=" * 80) + print("V6 LOSS MASK DIAGNOSTIC - Suffix Token Handling") + print("=" * 80) + + # Setup + tokenizer = get_tokenizer("Qwen/Qwen2.5-0.5B-Instruct") + + accumulator = TokenAccumulator( + tokenizer=tokenizer, + messages=[{"role": "system", "content": "Help"}], + max_len=512, + eos_id=tokenizer.eos_token_id, + thinking=False, + validation=ValidationMode.OFF, + ) + + print(f"\n✓ Setup complete") + print(f" Suffix tokens: {accumulator.suffix}") + print(f" Suffix decoded: {tokenizer.decode(accumulator.suffix)!r}") + + # Add single turn + accumulator.add_user("Hi") + response_text = "Hello!" + response_tokens = tokenizer.encode(response_text, add_special_tokens=False) + response_tokens.append(tokenizer.eos_token_id) + + accumulator.add_assistant(response_text, response_tokens) + + # Get episode data + episode_data = accumulator.get_data() + + print(f"\n✓ Episode created") + print(f" Total tokens: {len(episode_data.token_ids)}") + print( + f" Trainable (response_mask=True): {episode_data.response_mask.sum().item()}" + ) + + # Create loss_mask using torch.roll (same as main_v2.py line 1050) + loss_mask_tensor = torch.roll(episode_data.response_mask, shifts=-1, dims=0).float() + loss_mask_tensor[-1] = 0.0 + + print(f"\n✓ loss_mask created via torch.roll") + print(f" Trainable (loss_mask=1.0): {loss_mask_tensor.sum().item()}") + + # Create targets + targets = create_shifted_targets( + episode_data.token_ids.unsqueeze(0), loss_mask_tensor.unsqueeze(0) + ).squeeze(0) + + # Find suffix positions (trainable followed by non-trainable) + suffix_positions = [] + for i in range(len(episode_data.token_ids) - 1): + # EOS token: response_mask[i] = True (trainable) + # Suffix token: response_mask[i+1] = False (not trainable) + if episode_data.response_mask[i] and not episode_data.response_mask[i + 1]: + suffix_positions.append(i + 1) + + print(f"\n✓ Suffix positions detected: {suffix_positions}") + + # Detailed token-by-token analysis + print("\n" + "=" * 80) + print("TOKEN-BY-TOKEN ANALYSIS") + print("=" * 80) + print( + f"{'Idx':>4} {'Token':>10} {'Decoded':>15} {'Resp':>5} {'Loss':>5} {'Target':>10} {'Status':>20}" + ) + print("-" * 80) + + for i in range(len(episode_data.token_ids)): + tok_id = episode_data.token_ids[i].item() + tok_str = tokenizer.decode([tok_id])[:12] # Truncate for display + resp_mask = episode_data.response_mask[i].item() + loss_mask = loss_mask_tensor[i].item() + target = targets[i].item() + + resp_str = "✓" if resp_mask else "·" + loss_str = f"{loss_mask:.1f}" + target_str = "IGNORE" if target == CROSS_ENTROPY_IGNORE_IDX else f"{target:6d}" + + # Determine status + if i in suffix_positions: + status = "SUFFIX" + if loss_mask != 0.0: + status += " 🔥 LEAK!" + if target != CROSS_ENTROPY_IGNORE_IDX: + status += " 🔥 TARGET!" + elif resp_mask and loss_mask == 1.0: + status = "trainable ✓" + elif not resp_mask and loss_mask == 0.0: + status = "not trainable" + else: + status = "🔥 MISMATCH!" + + # Highlight EOS tokens + if tok_id == tokenizer.eos_token_id: + tok_str = f" ({tok_id})" + + print( + f"{i:4d} {tok_id:10d} {tok_str:>15s} {resp_str:>5s} {loss_str:>5s} {target_str:>10s} {status:>20s}" + ) + + # Verification checks + print("\n" + "=" * 80) + print("VERIFICATION CHECKS") + print("=" * 80) + + all_pass = True + + # Check 1: Suffix positions should have response_mask=False + print("\n[Check 1] Suffix tokens have response_mask=False") + for pos in suffix_positions: + resp = episode_data.response_mask[pos].item() + if resp: + print(f" 🔥 FAIL: Position {pos} has response_mask=True (expected False)") + all_pass = False + else: + print(f" ✓ Position {pos}: response_mask=False") + + # Check 2: Suffix positions should have loss_mask=0.0 + print("\n[Check 2] Suffix tokens have loss_mask=0.0") + for pos in suffix_positions: + loss = loss_mask_tensor[pos].item() + if loss != 0.0: + print(f" 🔥 FAIL: Position {pos} has loss_mask={loss} (expected 0.0)") + all_pass = False + else: + print(f" ✓ Position {pos}: loss_mask=0.0") + + # Check 3: Suffix positions should have targets=IGNORE + print("\n[Check 3] Suffix tokens have targets=IGNORE") + for pos in suffix_positions: + tgt = targets[pos].item() + if tgt != CROSS_ENTROPY_IGNORE_IDX: + print( + f" 🔥 FAIL: Position {pos} has target={tgt} (expected {CROSS_ENTROPY_IGNORE_IDX})" + ) + all_pass = False + else: + print(f" ✓ Position {pos}: target=IGNORE") + + # Check 4: EOS tokens should be trainable + print("\n[Check 4] EOS tokens are trainable") + eos_positions = [ + i + for i, tok in enumerate(episode_data.token_ids) + if tok == tokenizer.eos_token_id + ] + for pos in eos_positions: + resp = episode_data.response_mask[pos].item() + # EOS should be trainable only if it's an assistant EOS (not system/user EOS) + # For this test, we only have one assistant response, so check if it's trainable + if pos in suffix_positions: + # This EOS is followed by suffix, so it should be trainable + if not resp: + print( + f" 🔥 FAIL: Assistant EOS at {pos} has response_mask=False (expected True)" + ) + all_pass = False + else: + print(f" ✓ Assistant EOS at {pos}: response_mask=True") + else: + # System/user EOS - check if it's correctly not trainable + if resp: + print(f" Note: EOS at {pos} is trainable (possibly system/user)") + + # Check 5: loss_mask[i] should equal response_mask[i+1] for all i < len-1 + print("\n[Check 5] loss_mask[i] = response_mask[i+1] (torch.roll correctness)") + mismatches = [] + for i in range(len(episode_data.token_ids) - 1): + expected = episode_data.response_mask[i + 1].float().item() + actual = loss_mask_tensor[i].item() + if expected != actual: + mismatches.append((i, expected, actual)) + + if mismatches: + print(f" 🔥 FAIL: {len(mismatches)} positions have incorrect loss_mask") + for i, exp, act in mismatches[:5]: # Show first 5 + print(f" Position {i}: expected {exp:.1f}, got {act:.1f}") + all_pass = False + else: + print(f" ✓ All positions correctly shifted") + + # Final summary + print("\n" + "=" * 80) + print("SUMMARY") + print("=" * 80) + + if all_pass: + print("\n✅ ALL CHECKS PASSED") + print("\n V6 suffix token handling is CORRECT:") + print(" - Suffix tokens have response_mask=False") + print(" - Suffix tokens have loss_mask=0.0") + print(" - Suffix tokens have targets=IGNORE") + print(" - Suffix tokens will NOT contribute to loss") + print("\n CONCLUSION: Suffix tokens are NOT the cause of KL explosion.") + print(" The issue must be due to:") + print(" - Real model divergence between policy and ref") + print(" - Numerical issues in specific training batches") + print(" - Other factors not related to suffix handling") + else: + print("\n❌ CHECKS FAILED") + print("\n 🔥 BUG DETECTED: Suffix tokens are leaking into loss!") + print(" This could cause KL explosion if ref_model and policy") + print(" compute different logprobs for suffix positions.") + + print("\n" + "=" * 80) + print() + + +if __name__ == "__main__": + test_loss_mask_with_suffix() diff --git a/debug/follow_up_improvements.md b/debug/follow_up_improvements.md deleted file mode 100644 index 88ac71dde..000000000 --- a/debug/follow_up_improvements.md +++ /dev/null @@ -1,200 +0,0 @@ -# Follow-up Improvements to TokenAccumulator V3 - -**Date:** 2025-01-17 -**Changes:** TruncationReason dataclass, initial message handling, zero budget tests - ---- - -## 1. TruncationReason Dataclass - -### Motivation -Allow programmatic filtering of truncated episodes by type (e.g., drop assistant truncations, keep max_turns truncations). - -### Implementation -```python -@dataclass -class TruncationReason: - """Reason for episode truncation.""" - type: str # "generation_hit_max_tokens", "user_message_length", "initial_messages_too_long", "max_turns" - details: str = "" # Optional human-readable details - - def __str__(self) -> str: - return f"{self.type}: {self.details}" if self.details else self.type -``` - -### Usage -```python -# Check truncation type -if episode.truncation_reason and episode.truncation_reason.type == "generation_hit_max_tokens": - # Filter out episodes where assistant was truncated - continue - -# Print details -print(f"Truncated: {episode.truncation_reason}") -# Output: "user_message_length: User message 200 tokens + overhead 6 > budget 50" -``` - -### Changes -- `self.truncation_reason` type changed from `str | None` to `TruncationReason | None` -- All places that set `truncation_reason` now create `TruncationReason(type="...", details="...")` -- Tests updated to check `.type` attribute - ---- - -## 2. Handle Initial Messages > max_seq_len - -### Problem -If initial messages (system prompt) exceed `max_seq_len`, the old code would add them anyway, causing immediate budget overflow. - -### Solution -In `__init__`, check if initial_tokens exceed budget and truncate: - -```python -# Initialize with initial messages -if len(messages) > 0: - initial_tokens = tokenizer.apply_chat_template(...) - - # Check if initial messages exceed budget - if len(initial_tokens) > max_seq_len: - self.is_truncated = True - self.truncation_reason = TruncationReason( - type="initial_messages_too_long", - details=f"{len(initial_tokens)} tokens > {max_seq_len} max_seq_len", - ) - # Truncate to fit - initial_tokens = initial_tokens[:max_seq_len] - - self.all_tokens.extend(initial_tokens) - # ... -``` - -### Behavior -- Initial messages truncated to fit `max_seq_len` -- `is_truncated=True`, `truncation_reason.type="initial_messages_too_long"` -- `get_remaining_budget()` returns 0 (or small amount if truncation left room) -- Episode should be dropped in training - -### Test -```python -def test_initial_messages_too_long(tokenizer): - long_system = "You are helpful. " * 100 # Very long - messages = [{"role": "system", "content": long_system}] - - acc = TokenAccumulator(tokenizer, messages, max_seq_len=50, eos_token_id=...) - - assert acc.is_truncated == True - assert acc.truncation_reason.type == "initial_messages_too_long" - assert len(acc.all_tokens) == 50 # Truncated to max_seq_len - assert acc.get_remaining_budget() == 0 -``` - ---- - -## 3. Zero Budget Behavior - -### Problem -What happens if we try to add messages when budget=0? Need clear, tested behavior. - -### Solution for add_user_message -If budget allows zero tokens (budget - overhead <= 0), nothing is added: - -```python -# Truncate to fit (if budget allows any tokens) -available = max(0, budget - self.assistant_overhead) -user_message_tokens = user_message_tokens[:available] # Could be empty! - -# Accumulate (only if there are tokens to add) -if len(user_message_tokens) > 0: - self.all_tokens.extend(user_message_tokens) - # ... -``` - -**Behavior:** -- Returns `False` (truncated) -- Sets `is_truncated=True`, `truncation_reason.type="user_message_length"` -- Adds 0 tokens if budget is exhausted -- Message still added to `self.messages` but with 0 tokens - -### Solution for add_assistant_response -No special handling needed - it uses delta tokenization and will add whatever fits. The key is not exceeding `max_seq_len`. - -**Behavior:** -- If budget is very low, assistant tokens might still be added (role markers + content) -- The important check is `len(all_tokens) <= max_seq_len` in finalize() - -### Tests - -**Test 6: Zero budget user message** -```python -def test_zero_budget_user_message(tokenizer): - messages = [{"role": "system", "content": "You are helpful." * 50}] # Takes all budget - acc = TokenAccumulator(tokenizer, messages, max_seq_len=100, eos_token_id=...) - - initial_len = len(acc.all_tokens) - success = acc.add_user_message("Hello") - - # Should fail and not add anything (or add 0-1 tokens if budget allowed) - assert success == False - assert len(acc.all_tokens) <= initial_len + 1 -``` - -**Test 7: Zero budget assistant message** -```python -def test_zero_budget_assistant_message(tokenizer): - messages = [{"role": "system", "content": "You are helpful." * 50}] - acc = TokenAccumulator(tokenizer, messages, max_seq_len=100, eos_token_id=...) - - response_token_ids = [6151, tokenizer.eos_token_id] # "hi" + EOS - success = acc.add_assistant_response("hi", response_token_ids) - - # Key: Don't overflow max_seq_len - assert len(acc.all_tokens) <= acc.max_seq_len -``` - ---- - -## 4. Truncation Type Reference - -| Type | When | Action | Training | -|------|------|--------|----------| -| `generation_hit_max_tokens` | vLLM truncates assistant (no EOS) | Episode DROPPED (nothing added) | ✗ Drop | -| `user_message_length` | User message + overhead > budget | Message truncated, episode marked | ✗ Drop | -| `initial_messages_too_long` | System prompt > max_seq_len | Prompt truncated, episode marked | ✗ Drop | -| `max_turns` | Rollout hits max_turns | Episode marked (user sets this) | Depends on use case | - -**Filtering example:** -```python -# Drop all truncated episodes -if episode.is_truncated: - continue - -# Or: Drop only assistant truncations, keep others -if episode.truncation_reason and episode.truncation_reason.type == "generation_hit_max_tokens": - continue -``` - ---- - -## Summary of Changes - -### Code Changes -1. ✅ Added `TruncationReason` dataclass -2. ✅ Updated `truncation_reason` type to `TruncationReason | None` -3. ✅ All truncation setters now create `TruncationReason(type="...", details="...")` -4. ✅ `__init__` now handles initial messages > max_seq_len -5. ✅ `add_user_message` only accumulates if `len(user_message_tokens) > 0` - -### Test Changes -1. ✅ Test 5: Initial messages too long -2. ✅ Test 6: Zero budget user message -3. ✅ Test 7: Zero budget assistant message -4. ✅ Test 4: Updated to check `truncation_reason.type` - -### Backward Compatibility -⚠️ **Breaking change:** `truncation_reason` is now a dataclass, not a string -- Old: `if episode.truncation_reason == "user_message_length"` -- New: `if episode.truncation_reason and episode.truncation_reason.type == "user_message_length"` - ---- - -**End of Document** diff --git a/debug/improvements/COMPARISON_TINKER.md b/debug/improvements/COMPARISON_TINKER.md new file mode 100644 index 000000000..6e8721d21 --- /dev/null +++ b/debug/improvements/COMPARISON_TINKER.md @@ -0,0 +1,169 @@ +# Comparison: Our show_messages() vs Tinker's format_colorized() + +## Key Differences + +### Tinker's Approach (tinker-cookbook/utils/format_colorized.py) + +**Philosophy:** Display **readable text** with color coding + +```python +def format_colorized(tokens, weights, tokenizer): + """ + Groups consecutive tokens with same weight into "runs", + decodes entire runs at once, then colors the decoded text. + + Color scheme: + - Cyan: weight > 0 + - Yellow: weight = 0 + - Red: weight < 0 + """ + # Group tokens into runs by weight + for tok_id, weight in zip(tokens, weights): + if weight != current_weight: + flush_current_run() # Decode and color the run + current_ids.append(tok_id) + + # Decode entire run at once (handles multi-byte chars correctly!) + decoded = tokenizer.decode(current_ids) + chunks.append(colored(decoded, color)) +``` + +**Output:** +``` +The answer is 4 (colored green) +<|im_start|>assistant (colored yellow) +``` + +**Pros:** +- ✅ Readable as actual text +- ✅ Handles multi-byte characters correctly (CJK, emojis) +- ✅ Efficient (fewer ANSI codes) +- ✅ Clean output for presentations + +**Cons:** +- ❌ Can't see individual token boundaries +- ❌ Can't see token IDs for debugging +- ❌ Harder to debug tokenization issues + +--- + +### Our Approach (v6_final_v2) + +**Philosophy:** Display **message structure** with token-level detail + +```python +def show_messages(self, max_chars=5000): + """ + Shows messages with: + 1. Message-level summary (role, range, trainability %) + 2. Full message content (up to max_chars) + 3. Token-level colorized view (grouped into runs) + """ + # For each message: + print(f"[{msg_num}] {role} [{start:end}] ✓ TRAINABLE") + print(f" {content}") + + # Show colorized tokens (grouped by trainability) + self._show_colorized_tokens(start, end) +``` + +**Output:** +``` +[0] user [ 0: 15] · not trainable + What is 2+2? + Tokens: · What is 2+2? + +[1] assistant [ 15: 30] ✓ TRAINABLE + The answer is 4 + Tokens: · <|im_start|>assistant ✓ The answer is 4 +``` + +**Pros:** +- ✅ See message structure clearly +- ✅ See token ranges and counts +- ✅ Grouped runs show trainability transitions +- ✅ Great for debugging what gets trained on +- ✅ Shows full message content separately + +**Cons:** +- ❌ More verbose +- ❌ Token view still shows decoded text (not individual token IDs) + +--- + +## Comparison Table + +| Feature | Tinker | Ours | +|---------|--------|------| +| **Primary Goal** | Readable text with colors | Message structure + trainability | +| **Grouping** | By weight | By trainability | +| **Decoding** | Entire runs at once | Entire runs at once | +| **Multi-byte handling** | ✅ Correct | ✅ Correct | +| **Shows message structure** | ❌ No | ✅ Yes | +| **Shows token ranges** | ❌ No | ✅ Yes | +| **Shows message content** | ❌ Implicitly | ✅ Explicitly | +| **Verbosity** | Minimal | Higher (but informative) | +| **Use case** | Final output review | Debugging training data | + +--- + +## What We Adopted from Tinker + +1. **Run-based decoding:** Group consecutive tokens with same trainability and decode together +2. **Multi-byte safety:** Decode entire runs to handle CJK/emoji correctly +3. **Color coding:** Visual distinction between trainable/not trainable + +## What We Added + +1. **Message-level view:** See each message's role, range, and trainability % +2. **Content display:** Show actual message content separately from tokens +3. **Token ranges:** See exactly which tokens belong to which message +4. **Summary stats:** Total trainable tokens and percentage + +--- + +## Example Output Comparison + +### Tinker's format_colorized(): +``` +You are helpful (yellow) +What is 2+2? (yellow) +<|im_start|>assistant (yellow) +The answer is 4 (cyan) +<|im_end|> (yellow) +``` +**Everything is smooshed together, but very readable** + +### Our show_messages(): +``` +================================================================================ +TokenAccumulator: 45/2048 tokens +================================================================================ + +[0] system [ 0: 3] · not trainable + You are helpful + Tokens: · You are helpful + +[1] user [ 3: 7] · not trainable + What is 2+2? + Tokens: · What is 2+2? + +[2] assistant [ 7: 13] ⚠ PARTIAL (5/6) + The answer is 4 + Tokens: · <|im_start|>assistant ✓ The answer is 4 + +================================================================================ +Total: 5/13 trainable tokens (38.5%) +================================================================================ +``` +**More verbose, but shows exactly what will be trained on** + +--- + +## Conclusion + +**Tinker's approach:** Perfect for showing "this is what the model sees" +**Our approach:** Perfect for debugging "this is what we're training on" + +We successfully adopted Tinker's key insight (run-based decoding) while adding +the message-level structure needed for RL debugging. diff --git a/debug/improvements/token_accumulator_v6_final_v2.py b/debug/improvements/token_accumulator_v6_final_v2.py new file mode 100644 index 000000000..5e176136c --- /dev/null +++ b/debug/improvements/token_accumulator_v6_final_v2.py @@ -0,0 +1,658 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Token accumulation for multi-turn RL episodes using vLLM tokens directly. + +See TokenAccumulator class for details. +""" + +import threading +from dataclasses import dataclass +from enum import Enum +from typing import Optional + +import torch + + +class ValidationMode(Enum): + """Validation strictness.""" + + STRICT = "strict" # Raise on failures + WARN = "warn" # Print warnings + OFF = "off" # No validation + + +class TruncationReason(Enum): + """Truncation reason.""" + + USER_TOO_LONG = "user_too_long" + ASSISTANT_TOO_LONG = "assistant_too_long" + TOOL_TOO_LONG = "tool_too_long" + MAX_NUM_TURNS = "max_num_turns" + + +@dataclass +class EpisodeData: + """ + Episode data as tensors, ready for training. + + All tensors have shape (T,) where T is sequence length. + """ + + token_ids: torch.Tensor # dtype=long + response_mask: torch.Tensor # dtype=bool + logprobs: torch.Tensor # dtype=float + is_truncated: bool + truncation_reason: Optional[str] = None + + +class TokenAccumulator: + """ + Accumulate tokens for multi-turn RL episodes using vLLM tokens directly. + + ## Why Delta Tokenization? + + vLLM only returns assistant response tokens. We need the full conversation with + chat template tokens for training. We can't re-tokenize because it's expensive + and error-prone. + + **What we get from vLLM:** + ``` + response_tokens = [791, 19, 374, 220, 2] # ["The", "answer", "is", "4", ""] + ``` + + **What we need for training:** + ``` + [1, 2, 3] # ["You", "are", "helpful"] (not trainable) + [10, 11, 12, 13] # ["What", "is", "2+2", "?"] (not trainable) + [150, 123] # ["<|im_start|>", "assistant"] (not trainable) + [791, 19, 374, 220, 2] # ["The", "answer", "is", "4", eos] (TRAINABLE!) + [151] # ["<|im_end|>"] (not trainable, Qwen only) + ``` + + **Solution:** Use an anchor conversation [system, empty_user] that never changes. + Tokenize new messages against it and extract deltas. For assistant responses, + add generation prompt prefix and any model-specific suffix. + + ## Truncation Behavior + + - **add_user**: If truncated, adds partial message (truncated to fit budget) + - **add_assistant**: If truncated, DROPS entire response (nothing added) + - Once truncated, all subsequent adds will fail (return False) + + ## Usage + + ```python + acc = TokenAccumulator(tok, [{"role": "system", "content": "Help"}], 2048, eos_id=2) + + # Add messages + acc.add_user("What is 2+2?") + prompt = acc.format_prompt() + response = vllm_generate(prompt) + acc.add_assistant(response.text, response.token_ids, response.logprobs) + + # Show what will be trained on + acc.show_messages() + + # Get episode data as tensors + episode = acc.get_data() + # episode.token_ids: torch.Tensor (long) + # episode.response_mask: torch.Tensor (bool, True = trainable) + # episode.logprobs: torch.Tensor (float) + ``` + + Args: + tokenizer: HuggingFace tokenizer with apply_chat_template + messages: Initial messages (must include system message) + max_len: Maximum sequence length + eos_id: End-of-sequence token ID + thinking: Enable tags for Qwen models + validation: Validation mode (STRICT, WARN, OFF) + """ + + def __init__( + self, + tokenizer, + messages: list[dict], + max_len: int, + eos_id: int, + thinking: bool = True, + validation: ValidationMode = ValidationMode.STRICT, + ) -> None: + self._validate_init(tokenizer, messages, max_len, eos_id) + + self.tokenizer = tokenizer + self.max_len = max_len + self.eos_id = eos_id + self.thinking = thinking + self.validation = validation + + # State + self.messages: list[dict] = [] + self._tokens: list[int] = [] + self._mask: list[bool] = [] + self._logprobs: list[float] = [] + self.truncated: bool = False + self.truncation_reason: Optional[TruncationReason] = None + + # Track message boundaries for efficient validation + # Each entry: (end_idx, role, should_end_with_eos) + self._message_ends: list[tuple[int, str, bool]] = [] + + # Thread safety + self._lock = threading.Lock() + + # Setup + self._setup_anchor(messages) + self._init_messages(messages) + + def __repr__(self) -> str: + status = f", truncated" if self.truncated else "" + return f"TokenAccumulator({len(self._tokens)}/{self.max_len}{status})" + + @property + def budget(self) -> int: + """Remaining token budget.""" + return max(0, self.max_len - len(self._tokens) - self.gen_prompt_len) + + def add_user(self, content: str) -> bool: + """ + Add user message. If truncated, adds partial message (truncated to fit). + + Returns: + True if not truncated, False if truncated + """ + if not isinstance(content, str): + raise TypeError(f"content must be str, got {type(content)}") + + msg = {"role": "user", "content": content} + + # Tokenize [system, user] and extract delta + with self._lock: + full = self.tokenizer.apply_chat_template( + [self.anchor[0], msg], + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + # Extract user tokens by slicing off system prefix + tokens = full[self.sys_len :] + + if not tokens: + return True + + # Check budget + budget = self.budget + if budget <= 0: + self._mark_truncated(TruncationReason.USER_TOO_LONG) + return False + + # Truncate if needed (still adds partial) + was_truncated = len(tokens) > budget + if was_truncated: + tokens = tokens[:budget] + self._mark_truncated(TruncationReason.USER_TOO_LONG) + + self.messages.append(msg) + self._add_tokens(tokens, trainable=False, role="user", ends_with_eos=False) + + return not was_truncated + + def add_assistant( + self, text: str, token_ids: list[int], logprobs: Optional[list[float]] = None + ) -> bool: + """ + Add assistant response from vLLM. If truncated, DROPS entire response (nothing added). + + Args: + text: Response text (for message log) + token_ids: Token IDs from vLLM (must end with EOS) + logprobs: Log probabilities (optional) + + Returns: + False if truncated/invalid (response dropped), True if added successfully + """ + # Type validation + if not isinstance(text, str): + raise TypeError(f"text must be str, got {type(text)}") + if not isinstance(token_ids, list): + raise TypeError(f"token_ids must be list, got {type(token_ids)}") + + # Must have tokens and end with EOS + if not token_ids: + return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) + if token_ids[-1] != self.eos_id: + return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) + + # Check budget: generation_prompt + response + suffix + total_len = self.gen_prompt_len + len(token_ids) + len(self.suffix) + if total_len > self.budget: + return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) + + # Validate logprobs if provided + if logprobs is not None: + if not isinstance(logprobs, list): + raise TypeError(f"logprobs must be list or None") + if len(logprobs) != len(token_ids): + raise ValueError( + f"logprobs length mismatch: {len(logprobs)} != {len(token_ids)}" + ) + + self.messages.append({"role": "assistant", "content": text}) + + # Generation prompt (not trainable) + self._add_tokens( + self.gen_prompt_tokens, + trainable=False, + logprobs=[0.0] * len(self.gen_prompt_tokens), + role="assistant_prompt", + ends_with_eos=False, + ) + + # Response tokens (trainable) + self._add_tokens( + token_ids, + trainable=True, + logprobs=logprobs, + role="assistant", + ends_with_eos=True, + ) + + # Suffix if needed (not trainable) + if self.suffix: + self._add_tokens( + self.suffix, + trainable=False, + logprobs=[0.0] * len(self.suffix), + role="assistant_suffix", + ends_with_eos=False, + ) + + return True + + def format_prompt(self) -> str: + """Format conversation for vLLM generation.""" + with self._lock: + return self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=True, + tokenize=False, + enable_thinking=self.thinking, + ) + + def get_data(self) -> EpisodeData: + """ + Convert to tensors, validate, and return episode data. + + Returns: + EpisodeData with torch tensors + + Raises: + AssertionError/ValueError: If validation fails in STRICT mode + """ + # Convert to tensors + token_ids = torch.tensor(self._tokens, dtype=torch.long) + response_mask = torch.tensor(self._mask, dtype=torch.bool) + logprobs = torch.tensor(self._logprobs, dtype=torch.float) + + # Validate on tensors + if self.validation != ValidationMode.OFF: + self._validate(token_ids, response_mask, logprobs) + + return EpisodeData( + token_ids=token_ids, + response_mask=response_mask, + logprobs=logprobs, + is_truncated=self.truncated, + truncation_reason=( + self.truncation_reason.value if self.truncation_reason else None + ), + ) + + def show_messages(self, max_chars: int = 5000) -> None: + """ + Show conversation with trainability highlighted. + + Uses colored text runs for readability (similar to tinker-cookbook's format_colorized). + Groups consecutive tokens with same trainability and decodes together for proper + multi-byte character handling. + + Args: + max_chars: Maximum characters to show per message (default: 5000) + """ + print("=" * 80) + print(f"TokenAccumulator: {len(self._tokens)}/{self.max_len} tokens") + print("=" * 80) + + if not self.messages: + print("(no messages)") + print("=" * 80) + return + + # Show each message with trainability info + current_idx = 0 + for msg_num, msg in enumerate(self.messages): + role = msg["role"] + content = msg["content"] + + # Find tokens for this message + msg_end = None + for end_idx, end_role, _ in self._message_ends: + if end_idx > current_idx: + if role in end_role or end_role == "assistant_suffix": + msg_end = end_idx + break + + if msg_end is None: + msg_end = len(self._tokens) + + # Count trainable tokens + trainable_count = sum(self._mask[current_idx:msg_end]) + total_count = msg_end - current_idx + + # Visual indicator + if trainable_count == total_count: + indicator = "✓ TRAINABLE" + color = "\033[92m" # Green + elif trainable_count > 0: + indicator = f"⚠ PARTIAL ({trainable_count}/{total_count})" + color = "\033[93m" # Yellow + else: + indicator = "· not trainable" + color = "\033[90m" # Gray + + # Header + print( + f"\n{color}[{msg_num}] {role:10s} [{current_idx:4d}:{msg_end:4d}] {indicator}\033[0m" + ) + + # Content with optional truncation + if len(content) > max_chars: + preview = ( + content[:max_chars] + + f"\n... ({len(content) - max_chars} more chars)" + ) + else: + preview = content + + print(f" {preview}") + + # Show colorized tokens for this message + self._show_colorized_tokens(current_idx, msg_end) + + current_idx = msg_end + + # Summary + print(f"\n{'='*80}") + trainable_total = sum(self._mask) + pct = 100 * trainable_total / len(self._tokens) if self._tokens else 0 + print( + f"Total: {trainable_total}/{len(self._tokens)} trainable tokens ({pct:.1f}%)" + ) + print("=" * 80) + + def _show_colorized_tokens(self, start_idx: int, end_idx: int) -> None: + """ + Show colorized token-level view for a message range. + + Groups consecutive tokens with same trainability into "runs" and decodes + them together. This handles multi-byte characters correctly. + """ + if start_idx >= end_idx: + return + + chunks = [] + current_ids = [] + current_trainable = None + + def flush_run(): + if not current_ids: + return + # Decode entire run at once + with self._lock: + decoded = self.tokenizer.decode(current_ids) + # Color based on trainability + if current_trainable: + color_code = "\033[92m" # Green for trainable + symbol = "✓" + else: + color_code = "\033[90m" # Gray for not trainable + symbol = "·" + # Escape special characters for display + decoded_repr = repr(decoded)[1:-1] # Remove outer quotes + chunks.append(f"{color_code}{symbol} {decoded_repr}\033[0m") + + # Group tokens into runs + for i in range(start_idx, end_idx): + trainable = self._mask[i] + + # Flush when trainability changes + if trainable != current_trainable and current_ids: + flush_run() + current_ids = [] + + current_ids.append(self._tokens[i]) + current_trainable = trainable + + # Flush final run + flush_run() + + # Print runs + if chunks: + print(" Tokens: " + " ".join(chunks)) + + # Internal helpers + def _validate_init( + self, tokenizer, messages: list[dict], max_len: int, eos_id: int + ) -> None: + """Validate initialization parameters.""" + if not hasattr(tokenizer, "apply_chat_template"): + raise ValueError("Tokenizer must have apply_chat_template method") + if not messages: + raise ValueError("Must provide at least a system message") + if not isinstance(messages, list): + raise TypeError(f"messages must be list, got {type(messages)}") + for i, msg in enumerate(messages): + if not isinstance(msg, dict): + raise TypeError(f"Message {i} must be dict") + if "role" not in msg or "content" not in msg: + raise ValueError(f"Message {i} missing 'role' or 'content'") + if not isinstance(max_len, int) or max_len <= 0: + raise ValueError(f"max_len must be positive int, got {max_len}") + if not isinstance(eos_id, int): + raise TypeError(f"eos_id must be int, got {type(eos_id)}") + + def _setup_anchor(self, msgs: list[dict]) -> None: + """ + Setup anchor for delta tokenization and compute suffix. + + The suffix is anything after EOS in the chat template. We create a test + conversation with EOS and extract any tokens that follow it. + """ + sys = ( + msgs[0] + if msgs[0]["role"] == "system" + else {"role": "system", "content": ""} + ) + self.anchor = [sys, {"role": "user", "content": ""}] + + with self._lock: + # Compute generation prompt + without = self.tokenizer.apply_chat_template( + self.anchor, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + with_gen = self.tokenizer.apply_chat_template( + self.anchor, + add_generation_prompt=True, + tokenize=True, + enable_thinking=self.thinking, + ) + self.gen_prompt_tokens = with_gen[len(without) :] + self.gen_prompt_len = len(self.gen_prompt_tokens) + + # Compute system length + sys_tokens = self.tokenizer.apply_chat_template( + [sys], + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + self.sys_len = len(sys_tokens) + + # Compute suffix by tokenizing a test conversation + test_conv = [ + sys, + {"role": "user", "content": "test"}, + {"role": "assistant", "content": "response"}, + ] + test_tokens = self.tokenizer.apply_chat_template( + test_conv, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + + # Find last EOS + eos_idx = -1 + for i in range(len(test_tokens) - 1, -1, -1): + if test_tokens[i] == self.eos_id: + eos_idx = i + break + + # Extract suffix (everything after EOS, or empty if nothing) + if eos_idx >= 0 and eos_idx < len(test_tokens) - 1: + self.suffix = test_tokens[eos_idx + 1 :] + else: + self.suffix = [] + + def _init_messages(self, msgs: list[dict]) -> None: + """Initialize with starting messages.""" + if not msgs: + return + + with self._lock: + tokens = self.tokenizer.apply_chat_template( + msgs, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + + if len(tokens) > self.max_len: + self._mark_truncated(TruncationReason.USER_TOO_LONG) + tokens = tokens[: self.max_len] + + self.messages = msgs.copy() + self._add_tokens(tokens, trainable=False, role="initial", ends_with_eos=False) + + def _add_tokens( + self, + tokens: list[int], + trainable: bool, + logprobs: Optional[list[float]] = None, + role: str = "", + ends_with_eos: bool = False, + ) -> None: + """Add tokens to parallel arrays and track message boundary.""" + if not tokens: + return + + self._tokens.extend(tokens) + self._mask.extend([trainable] * len(tokens)) + self._logprobs.extend(logprobs if logprobs else [0.0] * len(tokens)) + + # Track message end for validation + end_idx = len(self._tokens) - 1 + self._message_ends.append((end_idx, role, ends_with_eos)) + + def _mark_truncated(self, reason: TruncationReason) -> bool: + """Mark as truncated.""" + self.truncated = True + self.truncation_reason = reason + return False + + def _validate( + self, + token_ids: torch.Tensor, + response_mask: torch.Tensor, + logprobs: torch.Tensor, + ) -> None: + """ + Run validation checks on tensors. + + Args: + token_ids: Token IDs tensor (shape: T) + response_mask: Response mask tensor (shape: T) + logprobs: Log probabilities tensor (shape: T) + """ + # Check 1: Shapes match + if not (token_ids.shape == response_mask.shape == logprobs.shape): + raise AssertionError( + f"Shape mismatch: token_ids={token_ids.shape}, " + f"mask={response_mask.shape}, logprobs={logprobs.shape}" + ) + + # Check 2: Budget not exceeded + if len(token_ids) > self.max_len: + raise ValueError(f"Budget overflow: {len(token_ids)} > {self.max_len}") + + # Check 3: Message boundaries are correct + for end_idx, role, should_end_with_eos in self._message_ends: + if should_end_with_eos: + # Token at end_idx should be eos_id + if token_ids[end_idx].item() != self.eos_id: + msg = f"{role} at {end_idx} has token {token_ids[end_idx].item()}, expected EOS {self.eos_id}" + if self.validation == ValidationMode.STRICT: + raise ValueError(msg) + print(f"WARNING: {msg}") + + # For assistant: end_idx should be trainable + if role == "assistant" and not response_mask[end_idx].item(): + msg = f"Assistant EOS at {end_idx} is not trainable" + if self.validation == ValidationMode.STRICT: + raise ValueError(msg) + print(f"WARNING: {msg}") + + # Token after EOS should not be trainable + if end_idx + 1 < len(token_ids) and response_mask[end_idx + 1].item(): + msg = ( + f"Token after EOS at {end_idx+1} is trainable (should be False)" + ) + if self.validation == ValidationMode.STRICT: + raise ValueError(msg) + print(f"WARNING: {msg}") + + # Check 4: Prefix consistency (incremental == full tokenization) + with self._lock: + full_tokens = self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + + # Account for suffix: accumulated = full + suffix_insertions + num_assistant_msgs = sum( + 1 for msg in self.messages if msg["role"] == "assistant" + ) + expected_suffix_tokens = num_assistant_msgs * len(self.suffix) + + accumulated_len = len(token_ids) + expected_len = len(full_tokens) + expected_suffix_tokens + + if accumulated_len != expected_len: + msg = ( + f"Prefix consistency failed: " + f"accumulated={accumulated_len} tokens, " + f"expected={expected_len} (full={len(full_tokens)} + suffix={expected_suffix_tokens})" + ) + if self.validation == ValidationMode.STRICT: + raise AssertionError(msg) + print(f"WARNING: {msg}") diff --git a/debug/masking_comparison_summary.md b/debug/masking_comparison_summary.md new file mode 100644 index 000000000..bc40be07f --- /dev/null +++ b/debug/masking_comparison_summary.md @@ -0,0 +1,325 @@ +# Multi-Turn Masking: Library Comparison Summary + +**Date:** 2025-11-19 +**Purpose:** Compare how different RL libraries handle tokens after EOS in multi-turn conversations + +--- + +## Quick Comparison Table + +| Library | Strips After EOS? | Checks Suffix Length? | How They Handle Post-EOS Tokens | +|---------|-------------------|----------------------|----------------------------------| +| **VERL** | ❌ No | ❌ No | Masks them out with `get_response_mask()` using cumsum trick | +| **TRL** | ✅ Yes | ❌ No | Strips during generation using `argmax` to find first EOS | +| **Prime-RL** | ❌ No | ❌ No | Takes ALL tokens from vLLM, delegates to verifiers library | +| **Tinker-Cookbook** | ❌ No (training)
✅ Yes (inference) | ❌ No | Includes EOS in training, strips only during parsing | +| **NeMo-RL** | ❌ No | ❌ No | Role-based masking, trusts chat template | +| **Forge (Current)** | ✅ Yes | ✅ Yes | Validates suffix_len==0, strips in TokenAccumulator | + +--- + +## Detailed Findings + +### 1. VERL - Mask-Based Approach + +**Philosophy:** Keep sequences intact, use masks to control training + +```python +# verl/verl/utils/reward_score/rl.py:165-173 +def get_response_mask(sequences, eos_token_id): + """Create mask: 1 up to (and including) first EOS, 0 after""" + eos_mask = sequences.eq(eos_token_id) + # Cumsum trick: once we hit EOS, all future positions become 1 + # Subtract eos_mask to exclude positions before first EOS + # Result: 0 for valid tokens (including first EOS), 1 for post-EOS + return (eos_mask.cumsum(dim=1) - eos_mask).eq(0) +``` + +**Key Points:** +- ✅ Elegant solution using cumsum +- ✅ No sequence manipulation +- ✅ Preserves full sequence for debugging +- ⚠️ Still has tokens after EOS in the tensor + +**Files:** +- `verl/verl/utils/reward_score/rl.py:165-173` +- `verl/verl/workers/rollout/vllm_rollout/vllm_rollout.py:400-500` + +--- + +### 2. TRL - Stripping Approach + +**Philosophy:** Remove tokens after first EOS during generation + +```python +# trl/grpo_trainer.py:1383-1390 +# Find first occurrence of EOS +eos_indices = (completions == generation_config.eos_token_id).long().argmax(dim=-1) + +# Strip everything after first EOS +for i, (eos_idx, completion) in enumerate(zip(eos_indices, completions)): + if eos_idx > 0: # If EOS found + # Exclude tokens after EOS + completions[i, eos_idx + 1:] = tokenizer.pad_token_id + completion_masks[i, eos_idx + 1:] = 0 +``` + +**Key Points:** +- ✅ Actively removes post-EOS tokens +- ✅ Simple argmax approach +- ⚠️ No validation of how many tokens removed +- ⚠️ Assumes first EOS is the real one + +**Files:** +- `trl/trl/trainer/grpo_trainer.py:1383-1390` +- `trl/trl/trainer/rloo_trainer.py:1340-1347` + +--- + +### 3. Prime-RL - Trust vLLM Approach + +**Philosophy:** Accept whatever vLLM generates, no post-processing + +```python +# Prime-RL delegates to verifiers library +# Uses vLLM response tokens directly without re-tokenization +# No stripping or validation of post-EOS tokens +``` + +**Key Points:** +- ✅ Simple - trusts vLLM output +- ✅ Uses external verifiers library +- ⚠️ Could train on garbage if vLLM generates extra tokens +- ⚠️ No safeguards for malformed responses + +**Files:** +- `prime-rl/src/prime_rl/trainer/rl/rollout_worker.py` +- External: `verifiers` library + +--- + +### 4. Tinker-Cookbook - Hybrid Approach + +**Philosophy:** Include EOS in training, strip only during parsing + +```python +# tinker_cookbook/renderers.py:140-162 +def parse_chat_message_assistant(text): + """Parse response, stopping at first EOS""" + for stop_sequence in self.renderer.stop_sequences: + if stop_sequence in text: + text = text.split(stop_sequence)[0] + return text +``` + +**Key Points:** +- ✅ EOS tokens get weight=1.0 (trained) +- ✅ Uses stop sequences during sampling +- ✅ Only strips during inference/parsing +- ⚠️ Training data includes full sequences + +**Files:** +- `tinker_cookbook/renderers.py:84-162` +- `tinker_cookbook/configs/training.py` + +--- + +### 5. NeMo-RL - Role-Based Masking + +**Philosophy:** Mask based on message role, trust chat template + +```python +# RL/nemo_rl/data/llm_message_utils.py:141-176 +def add_loss_mask_to_message_log(message_log): + """Add loss masks based on role""" + for message in message_log: + if message['role'] == 'assistant': + message['loss_mask'] = torch.ones_like(token_ids) + else: + message['loss_mask'] = torch.zeros_like(token_ids) +``` + +**Key Points:** +- ✅ Simple role-based approach +- ✅ Trusts tokenizer.apply_chat_template() +- ⚠️ No validation of token sequences +- ⚠️ No special EOS handling + +**Files:** +- `RL/nemo_rl/data/llm_message_utils.py:141-176` +- `RL/nemo_rl/models/generation/vllm/vllm_worker_async.py:40-121` + +--- + +## Our Bug: Tokens After EOS with response_mask=1 + +### The Problem + +In our `TokenAccumulator`, when adding an assistant response: + +```python +# Current code in TokenAccumulator.add_assistant_response +assistant_tokens = self._tokenize_delta(message, "assistant") +# assistant_tokens includes: [prefix, content, EOS, NEWLINE] +# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +# ALL marked as response_mask=True! + +mask = [False] * prefix_len + [True] * (len(assistant_tokens) - prefix_len) +self._accumulate(assistant_tokens, mask=mask) +``` + +Then when we create loss_mask: +```python +loss_mask = torch.roll(response_mask, shifts=-1, dims=0).float() +loss_mask[-1] = 0.0 +``` + +Result: +``` +Pos 653: content response_mask=1 loss_mask=1 ✓ +Pos 654: EOS response_mask=1 loss_mask=1 ✗ BUG! Training to predict newline +Pos 655: newline response_mask=1 loss_mask=0 ✗ BUG! Newline is part of response! +Pos 656: <|im_start|> response_mask=0 loss_mask=0 ✓ +``` + +--- + +## Solutions Comparison + +### Option 1: VERL Approach - Mask Post-EOS Tokens + +**What to do:** +- Keep tokens in sequence +- Create `get_response_mask()` to mask positions after first EOS +- Use this when creating loss_mask + +**Pros:** +- ✅ No sequence manipulation +- ✅ Full sequence preserved for debugging +- ✅ Clean separation of concerns + +**Cons:** +- ⚠️ Need to implement cumsum logic +- ⚠️ Tokens still in memory (minor) + +**Code change:** +```python +def create_loss_mask_with_eos_handling(response_mask, all_token_ids, eos_token_id): + # First, shift response_mask + loss_mask = torch.roll(response_mask, shifts=-1, dims=0).float() + loss_mask[-1] = 0.0 + + # Then, mask out positions at or after EOS + eos_mask = (all_token_ids == eos_token_id) + # Cumsum: after first EOS, all positions become > 0 + post_eos_mask = (eos_mask.cumsum(dim=0) > 0) + loss_mask[post_eos_mask] = 0.0 + + return loss_mask +``` + +### Option 2: TRL Approach - Strip After EOS in TokenAccumulator + +**What to do:** +- When adding assistant response, find first EOS and truncate +- Only add tokens up to (and including) EOS + +**Pros:** +- ✅ Simple - just find and truncate +- ✅ Cleaner sequences + +**Cons:** +- ⚠️ Modifies sequences +- ⚠️ Loses information about what was generated + +**Code change:** +```python +def add_assistant_response(self, response_text, response_token_ids, ...): + # Find first EOS + if self.eos_token_id in response_token_ids: + eos_idx = response_token_ids.index(self.eos_token_id) + response_token_ids = response_token_ids[:eos_idx + 1] # Include EOS + # Re-decode to get matching text + response_text = self.tokenizer.decode(response_token_ids) + + # Continue with delta tokenization... +``` + +### Option 3: Tinker-Cookbook Approach - Include EOS, Rely on Stop Sequences + +**What to do:** +- Accept that sequences may have tokens after EOS +- Mask them in loss_mask creation +- Use stop sequences during sampling + +**Pros:** +- ✅ Matches vLLM behavior +- ✅ Simple + +**Cons:** +- ⚠️ Doesn't solve our current bug + +--- + +## Recommendation + +**Best solution: Hybrid of VERL + TRL** + +1. **In TokenAccumulator** (TRL approach): + - Strip tokens after first EOS when adding assistant responses + - This prevents the newline from being added to `accumulated_tokens` + +2. **In loss_mask creation** (VERL approach as safeguard): + - Add EOS masking logic as defensive programming + - Handle edge cases where EOS might slip through + +**Why this is best:** +- ✅ Prevents root cause (no post-EOS tokens in accumulator) +- ✅ Defensive (mask them anyway if they appear) +- ✅ Matches what vLLM actually generates +- ✅ Cleaner sequences + +--- + +## Implementation Plan + +1. **Fix TokenAccumulator.add_assistant_response():** +```python +def add_assistant_response(self, response_text, response_token_ids, ...): + # Check for EOS and truncate + if response_token_ids and response_token_ids[-1] != self.eos_token_id: + return self._mark_truncated(TruncationReason.AGENT_TOO_LONG) + + # Find first EOS (in case there are multiple) + eos_positions = [i for i, tid in enumerate(response_token_ids) if tid == self.eos_token_id] + if eos_positions: + first_eos = eos_positions[0] + if first_eos < len(response_token_ids) - 1: + # There are tokens after first EOS - truncate + response_token_ids = response_token_ids[:first_eos + 1] + # Note: response_text may be stale now, but we don't use it for tokenization + + # Continue with existing delta tokenization logic... +``` + +2. **Add defensive EOS masking in do_single_rollout():** +```python +# After creating loss_mask with torch.roll +loss_mask_tensor = torch.roll(response_mask_tensor, shifts=-1, dims=0).float() +loss_mask_tensor[-1] = 0.0 + +# Defensive: mask positions AT eos tokens +eos_positions = (all_tokens_tensor == eos_token_id) +loss_mask_tensor[eos_positions] = 0.0 +``` + +This gives us defense-in-depth! + +--- + +## Testing + +After implementation, verify with `debug/verify_eos_hypothesis.py`: +- Should show 0 EOS positions with loss_mask=1 +- Should show 0 suspicious tokens after EOS with response_mask=1 +- KL at EOS should be same as non-EOS (near zero) diff --git a/debug/prime_rl_masking_research.md b/debug/prime_rl_masking_research.md new file mode 100644 index 000000000..81baee4f0 --- /dev/null +++ b/debug/prime_rl_masking_research.md @@ -0,0 +1,609 @@ +# Prime-RL Multi-Turn Conversation Masking Research + +## Executive Summary + +Prime-RL uses a different approach to multi-turn conversation masking than Forge. Key differences: + +1. **NO suffix stripping after EOS** - Prime-RL does NOT check or strip tokens after EOS in responses +2. **Incremental tokenization** - Uses incremental chat template application to build masks +3. **Delegation to verifiers library** - RL masking logic is in the external `verifiers` library, not prime-rl itself +4. **SFT ensures EOS presence** - SFT training always ensures EOS token is present in target_ids + +--- + +## 1. SFT Loss Mask Creation (Multi-Turn) + +### Location +**File**: `/home/felipemello/forge/prime-rl/src/prime_rl/trainer/sft/data.py` +**Function**: `build_loss_mask()` (lines 226-255) + +### How It Works + +Prime-RL uses **incremental tokenization** with `apply_chat_template()` to build loss masks: + +```python +def build_loss_mask(prompt, completion, tokenizer, loss_mask_config: LossMaskConfig) -> list[bool]: + messages = prompt + completion + loss_mask: list[bool] = [] + prev_ids, prev_len = [], 0 + for i, message in enumerate(messages): + # Tokenize conversation up to current message (incremental) + cur_ids = tokenizer.apply_chat_template( + messages[: i + 1], + tools=tools, + add_generation_prompt=True if ( + message["role"] in ["user", "tool"] + and i + 1 < len(messages) + and messages[i + 1]["role"] == "assistant" + ) else False, + ) + # Verify incremental consistency + assert prev_ids == cur_ids[:prev_len] + + # Extend mask for new tokens with role-based masking + loss_mask.extend([should_mask(message, loss_mask_config)] * (len(cur_ids) - prev_len)) + prev_ids, prev_len = cur_ids, len(cur_ids) + + return loss_mask +``` + +**Key Points:** +- Incremental tokenization: tokenize `messages[:i+1]` at each step +- Verifies prefix consistency: `prev_ids == cur_ids[:prev_len]` +- Uses `add_generation_prompt=True` after user/tool messages to mask assistant header tokens +- Role-based masking controlled by `LossMaskConfig` (system, user, assistant, tool) + +### Loss Mask Configuration + +**File**: `/home/felipemello/forge/prime-rl/src/prime_rl/trainer/sft/config.py` (lines 36-42) + +```python +class LossMaskConfig(BaseModel): + system: bool = False # Don't train on system messages + user: bool = False # Don't train on user messages + assistant: bool = True # DO train on assistant messages + tool: bool = False # Don't train on tool messages +``` + +**Default behavior**: Only train on assistant messages, mask everything else. + +--- + +## 2. EOS Token Handling in SFT + +### Location +**File**: `/home/felipemello/forge/prime-rl/src/prime_rl/trainer/sft/data.py` +**Function**: `_process()` (lines 270-293) + +### EOS Handling Logic + +```python +# Build input_ids using chat template +input_ids = self.tokenizer.apply_chat_template( + prompt + completion, + tools=tools, +) + +# Build loss_mask +loss_mask = build_loss_mask(prompt, completion, self.tokenizer, self.loss_mask_config) + +# If EOS token is not found, manually append it +if not self.tokenizer.eos_token_id in input_ids: + self.logger.warning( + f"Did not find EOS token ID {self.tokenizer.eos_token_id} in input_ids. " + "Is something wrong with the chat template? Manually appending EOS token..." + ) + input_ids.append(cast(int, self.tokenizer.eos_token_id)) + loss_mask.append(True) + +# Prepare inputs (shift for next-token prediction) +target_ids = input_ids.copy()[1:] +loss_mask = loss_mask[1:] +input_ids = input_ids[:-1] + +# Assertions +assert sum(loss_mask) > 0, "There are no tokens in this sample that contribute to the loss" +assert self.tokenizer.eos_token_id in target_ids, "EOS token ID must be present in target_ids" +``` + +**Critical Findings:** +1. ✅ **EOS is REQUIRED** in target_ids (assertion on line 293) +2. ✅ **Manually appends EOS** if chat template doesn't include it +3. ❌ **NO suffix stripping** - Does NOT check for or remove tokens after EOS +4. ✅ **Trains on EOS** - The EOS token has `loss_mask=True` + +--- + +## 3. RL Loss Mask Creation (Multi-Turn) + +### Architecture + +RL mask creation is **delegated to the verifiers library**: + +``` +prime-rl/orchestrator/scheduler.py + └─> env.process_env_results_vllm() + └─> verifiers/envs/environment.py::process_env_results_vllm() + └─> verifiers/utils/processing_utils.py::process_chat_format_vllm() +``` + +### Main Entry Point + +**File**: `/home/felipemello/forge/prime-rl/src/prime_rl/orchestrator/scheduler.py` (lines 71-85) + +```python +def process_generate_outputs(self, generate_outputs: GenerateOutputs) -> list[Rollout]: + processed_outputs: ProcessedOutputs = self.env.process_env_results_vllm( + prompts=generate_outputs.prompt, + completions=generate_outputs.completion, + states=generate_outputs.state, + rewards=generate_outputs.reward, + processing_class=self.tokenizer, + max_seq_len=self.seq_len, + mask_env_responses=self.config.mask_env_responses, + zero_truncated_completions=self.config.zero_truncated_completions, + mask_truncated_completions=self.config.mask_truncated_completions, + ) + # Returns: prompt_ids, prompt_mask, completion_ids, completion_mask, completion_logprobs +``` + +### Verifiers Library Processing + +**File**: `/home/felipemello/forge/verifiers/verifiers/utils/processing_utils.py` +**Function**: `process_chat_format_vllm()` (lines 72-162) + +#### Chat Format Processing + +```python +def process_chat_format_vllm( + prompt: list[ChatMessage], + completion: list[ChatMessage], + state: State, + processing_class: "PreTrainedTokenizerBase", + mask_env_responses: bool = False, +) -> tuple[list[int], list[int], list[int], list[int], list[float]]: + """ + Process chat format conversations using incremental prefixes. + """ + responses = state["responses"] # vLLM response objects + + # Match completion messages with vLLM responses + zipped = [] + for turn in completion: + if turn["role"] == "assistant": + zipped.append((turn, responses[responses_idx])) + responses_idx += 1 + else: + zipped.append((turn, None)) + + # Tokenize prompt + prompt_ids = processing_class.apply_chat_template( + conversation=prompt, + add_generation_prompt=True, + tools=oai_tools, + ) + prompt_mask = [0] * len(prompt_ids) # Don't train on prompt + + # Process completion turns incrementally + completion_ids = [] + completion_mask = [] + completion_logprobs = [] + + i = 0 + while i < len(zipped): + message, response = zipped[i] + + if message["role"] == "assistant": + # Use vLLM response tokens and logprobs + completion_turn_ids = parse_chat_completion_tokens(response) + completion_turn_mask = [1] * len(completion_turn_ids) + completion_turn_logprobs = parse_chat_completion_logprobs(response) + + completion_ids.extend(completion_turn_ids) + completion_mask.extend(completion_turn_mask) + completion_logprobs.extend(completion_turn_logprobs) + messages_consumed.append(message) + i += 1 + + else: # user/tool case + # Collect consecutive non-assistant messages + consecutive_messages = [message] + j = i + 1 + while j < len(zipped) and zipped[j][0]["role"] != "assistant": + consecutive_messages.append(zipped[j][0]) + j += 1 + + # Tokenize prefix (up to last assistant) + token_prefix = processing_class.apply_chat_template( + conversation=messages_consumed, + add_generation_prompt=False, + tools=oai_tools, + ) + + # Tokenize with new user/tool + assistant header + token_prefix_with_turn = processing_class.apply_chat_template( + conversation=messages_consumed + consecutive_messages, + add_generation_prompt=True, # Includes assistant header + tools=oai_tools, + ) + + # Extract new tokens (user message + assistant header) + completion_turn_ids = token_prefix_with_turn[len(token_prefix):] + + if mask_env_responses: + completion_turn_mask = [0] * len(completion_turn_ids) # Mask env responses + else: + completion_turn_mask = [1] * len(completion_turn_ids) # Train on env responses + + completion_turn_logprobs = [0.0] * len(completion_turn_ids) # No logprobs for env + + completion_ids.extend(completion_turn_ids) + completion_mask.extend(completion_turn_mask) + completion_logprobs.extend(completion_turn_logprobs) + messages_consumed.extend(consecutive_messages) + i = j + + return (prompt_ids, prompt_mask, completion_ids, completion_mask, completion_logprobs) +``` + +**Key Points:** +1. Uses **vLLM response objects** stored in `state["responses"]` to get actual generated tokens/logprobs +2. **Incremental tokenization** similar to SFT (verifies prefix consistency) +3. **mask_env_responses flag**: controls whether environment responses (user/tool) are trained on +4. Assistant messages use **actual vLLM tokens**, env responses use **tokenizer** + +### Tokens from vLLM Responses + +**File**: `/home/felipemello/forge/verifiers/verifiers/utils/processing_utils.py` (lines 38-52) + +```python +def parse_chat_completion_tokens(chat_completion: ChatCompletion) -> list[int]: + """Parses the output token ids from vLLM chat completion.""" + tokens = [ + # tokens are token_id: because we request `return_tokens_as_token_ids` from vllm + int(token.token.split(":")[-1]) + for token in chat_completion.choices[0].logprobs.content + ] + return tokens +``` + +**Critical**: Uses **vLLM's exact generated tokens**, which are in `choices[0].logprobs.content`. + +--- + +## 4. How Tokens After EOS Are Handled + +### The KEY Finding + +**Prime-RL does NOT check or strip tokens after EOS in responses.** + +Let me trace through what happens: + +#### In RL (verifiers library): + +1. **vLLM generates response** with tokens (may include EOS) +2. **parse_chat_completion_tokens()** extracts ALL tokens from `logprobs.content` + - This includes the EOS token if generated + - **NO filtering or stripping** of tokens after EOS +3. **completion_mask** is set to `[1] * len(completion_turn_ids)` for assistant messages + - ALL assistant tokens (including and after EOS) have mask=1 +4. These tokens are added to `completion_ids` and `completion_mask` + +#### In SFT: + +1. **apply_chat_template()** returns full token sequence +2. **Manually appends EOS** if not present +3. **NO suffix stripping** - No code checks for or removes tokens after EOS +4. **loss_mask[EOS] = True** - EOS token is trained on +5. Assertion ensures EOS is in target_ids, but doesn't check uniqueness or position + +### What This Means + +**If vLLM generates tokens after EOS** (e.g., padding, extra tokens): +- ✅ Those tokens ARE included in `completion_ids` +- ✅ Those tokens ARE included in `completion_mask` with value `1` +- ✅ Those tokens WILL contribute to the loss +- ❌ There is NO check or warning about suffix length +- ❌ There is NO stripping of post-EOS tokens + +**This is fundamentally different from Forge's approach**, which: +- Checks for tokens after EOS +- Strips suffix tokens after EOS +- Validates suffix length + +--- + +## 5. Multi-Turn Conversation Example + +Let's trace a 2-turn conversation: + +### Messages +```python +prompt = [ + {"role": "user", "content": "Hello"} +] +completion = [ + {"role": "assistant", "content": "Hi there!"}, + {"role": "user", "content": "How are you?"}, + {"role": "assistant", "content": "I'm good!"} +] +``` + +### SFT Processing + +**Step 1**: Tokenize `[user: "Hello"]` +- Tokens: `[<|im_start|>user\nHello<|im_end|><|im_start|>assistant\n]` +- Mask: `[False, False, False, ..., False]` (all user + assistant header) + +**Step 2**: Tokenize `[user: "Hello", assistant: "Hi there!"]` +- New tokens: `[Hi, there, !, <|im_end|>]` +- Mask extends: `[True, True, True, True]` (assistant message) + +**Step 3**: Tokenize `[..., user: "How are you?"]` +- New tokens: `[<|im_start|>user\nHow, are, you, ?, <|im_end|><|im_start|>assistant\n]` +- Mask extends: `[False, False, ..., False]` (user + assistant header) + +**Step 4**: Tokenize `[..., assistant: "I'm good!"]` +- New tokens: `[I, 'm, good, !, <|im_end|>]` +- Mask extends: `[True, True, True, True, True]` (assistant message) + +**Final**: +- `input_ids`: All tokens except last +- `target_ids`: All tokens except first +- `loss_mask`: Only True for assistant content (not headers, not user) + +### RL Processing (verifiers) + +**Prompt tokenization**: +```python +prompt_ids = tokenizer.apply_chat_template( + [{"role": "user", "content": "Hello"}], + add_generation_prompt=True # Adds assistant header +) +prompt_mask = [0] * len(prompt_ids) +``` + +**Turn 1** (assistant): +```python +# Use vLLM response object +response = state["responses"][0] +completion_ids = parse_chat_completion_tokens(response) # [Hi, there, !, <|im_end|>] +completion_mask = [1, 1, 1, 1] +completion_logprobs = parse_chat_completion_logprobs(response) +``` + +**Turn 2** (user): +```python +# Incremental tokenization +prefix = tokenizer.apply_chat_template( + [{"role": "user", "content": "Hello"}, {"role": "assistant", "content": "Hi there!"}], + add_generation_prompt=False +) +prefix_with_turn = tokenizer.apply_chat_template( + [..., {"role": "user", "content": "How are you?"}], + add_generation_prompt=True # Adds next assistant header +) +new_tokens = prefix_with_turn[len(prefix):] # User message + assistant header +completion_ids.extend(new_tokens) +completion_mask.extend([1] * len(new_tokens)) # or [0] if mask_env_responses=True +completion_logprobs.extend([0.0] * len(new_tokens)) +``` + +**Turn 3** (assistant): +```python +response = state["responses"][1] +completion_ids.extend(parse_chat_completion_tokens(response)) # [I, 'm, good, !, <|im_end|>] +completion_mask.extend([1, 1, 1, 1, 1]) +completion_logprobs.extend(parse_chat_completion_logprobs(response)) +``` + +--- + +## 6. Comparison with Forge + +| Aspect | Prime-RL | Forge | +|--------|----------|-------| +| **Mask Creation** | Incremental tokenization with chat template | Base anchor + response mask | +| **EOS Handling** | Ensures EOS present, NO suffix stripping | Checks and strips tokens after EOS | +| **Suffix Validation** | None | Validates suffix_len <= max_suffix_len | +| **Multi-turn** | Native support via incremental tokenization | Handles via base anchors | +| **RL vs SFT** | Different codepaths (verifiers vs trainer) | Same masking logic | +| **vLLM Integration** | Uses vLLM response tokens directly | Tokenizes text responses | +| **Env Response Masking** | Configurable via `mask_env_responses` | Not directly supported | +| **Library Separation** | Mask logic in external `verifiers` lib | All in forge.data.common | + +--- + +## 7. Configuration Options + +### SFT Configuration + +```python +# In SFTDataConfig +loss_mask: LossMaskConfig = LossMaskConfig( + system=False, # Don't train on system messages + user=False, # Don't train on user messages + assistant=True, # Train on assistant messages + tool=False # Don't train on tool messages +) +``` + +### RL Configuration + +```python +# In OrchestratorConfig (via process_env_results_vllm) +mask_env_responses: bool = False # Whether to mask env responses (user/tool) +zero_truncated_completions: bool = False # Zero reward for truncated completions +mask_truncated_completions: bool = False # Mask loss for truncated completions +``` + +--- + +## 8. Key Files Reference + +### Prime-RL + +| File | Lines | Purpose | +|------|-------|---------| +| `/home/felipemello/forge/prime-rl/src/prime_rl/trainer/sft/data.py` | 226-255 | SFT loss mask creation (build_loss_mask) | +| `/home/felipemello/forge/prime-rl/src/prime_rl/trainer/sft/data.py` | 270-293 | EOS token handling in SFT | +| `/home/felipemello/forge/prime-rl/src/prime_rl/trainer/sft/config.py` | 36-42 | LossMaskConfig definition | +| `/home/felipemello/forge/prime-rl/src/prime_rl/orchestrator/scheduler.py` | 71-85 | RL entry point for processing | +| `/home/felipemello/forge/prime-rl/src/prime_rl/orchestrator/batch.py` | 21-64 | Rollout to training batch conversion | +| `/home/felipemello/forge/prime-rl/src/prime_rl/trainer/rl/data.py` | 13-23 | RL MicroBatch type definition | + +### Verifiers Library + +| File | Lines | Purpose | +|------|-------|---------| +| `/home/felipemello/forge/verifiers/verifiers/envs/environment.py` | 913-1007 | process_env_results_vllm main logic | +| `/home/felipemello/forge/verifiers/verifiers/utils/processing_utils.py` | 72-162 | process_chat_format_vllm (mask creation) | +| `/home/felipemello/forge/verifiers/verifiers/utils/processing_utils.py` | 38-69 | Token/logprob parsing from vLLM | +| `/home/felipemello/forge/verifiers/verifiers/types.py` | 135-147 | Rollout TypedDict definition | + +--- + +## 9. Critical Code Snippets + +### Incremental Tokenization Pattern (SFT) + +```python +# From prime-rl/src/prime_rl/trainer/sft/data.py:226-253 +messages = prompt + completion +loss_mask: list[bool] = [] +prev_ids, prev_len = [], 0 + +for i, message in enumerate(messages): + # Incrementally tokenize up to current message + cur_ids = tokenizer.apply_chat_template( + messages[: i + 1], + tools=tools, + add_generation_prompt=True if ( + message["role"] in ["user", "tool"] + and i + 1 < len(messages) + and messages[i + 1]["role"] == "assistant" + ) else False, + ) + + # Verify incremental consistency + assert prev_ids == cur_ids[:prev_len], "Incremental tokenization mismatch" + + # Extend mask based on message role + loss_mask.extend([should_mask(message, loss_mask_config)] * (len(cur_ids) - prev_len)) + prev_ids, prev_len = cur_ids, len(cur_ids) + +return loss_mask +``` + +### vLLM Token Extraction (RL) + +```python +# From verifiers/verifiers/utils/processing_utils.py:38-52 +def parse_chat_completion_tokens(chat_completion: ChatCompletion) -> list[int]: + """Parses the output token ids from vLLM chat completion.""" + tokens = [ + int(token.token.split(":")[-1]) # Parse "token_id:123" -> 123 + for token in chat_completion.choices[0].logprobs.content + ] + return tokens +``` + +### Env Response Masking (RL) + +```python +# From verifiers/verifiers/utils/processing_utils.py:120-155 +else: # user/tool case + # Collect consecutive non-assistant messages + consecutive_messages = [message] + j = i + 1 + while j < len(zipped) and zipped[j][0]["role"] != "assistant": + consecutive_messages.append(zipped[j][0]) + j += 1 + + # Get tokens for user/tool messages + assistant header + token_prefix = processing_class.apply_chat_template( + conversation=messages_consumed, + add_generation_prompt=False, + ) + token_prefix_with_turn = processing_class.apply_chat_template( + conversation=messages_consumed + consecutive_messages, + add_generation_prompt=True, # Include assistant header for next turn + ) + + completion_turn_ids = token_prefix_with_turn[len(token_prefix):] + + # Apply masking based on config + if mask_env_responses: + completion_turn_mask = [0] * len(completion_turn_ids) + else: + completion_turn_mask = [1] * len(completion_turn_ids) + + completion_turn_logprobs = [0.0] * len(completion_turn_ids) +``` + +--- + +## 10. Recommendations for Forge + +Based on this research, here are key differences to consider: + +### 1. EOS Token Handling +**Prime-RL**: Does NOT strip tokens after EOS +**Recommendation**: Forge's approach (stripping post-EOS tokens) is safer and more correct + +### 2. Incremental Tokenization +**Prime-RL**: Uses incremental chat template application with verification +**Recommendation**: Consider adopting this pattern for better multi-turn support + +### 3. Environment Response Masking +**Prime-RL**: Has explicit `mask_env_responses` flag +**Recommendation**: Useful feature to prevent training on environment feedback + +### 4. Separation of Concerns +**Prime-RL**: RL masking in separate `verifiers` library +**Recommendation**: Forge's unified approach in `forge.data.common` is simpler + +### 5. vLLM Integration +**Prime-RL**: Uses actual vLLM token IDs from responses +**Recommendation**: More accurate than re-tokenizing text, but requires vLLM + +### 6. Truncation Handling +**Prime-RL**: Has flags for `zero_truncated_completions` and `mask_truncated_completions` +**Recommendation**: Good pattern for handling incomplete generations + +--- + +## 11. Testing Evidence + +From `/home/felipemello/forge/prime-rl/tests/unit/train/sft/test_sft_dataset.py`: + +```python +def test_multiturn_loss_mask(): + dataset = Dataset.from_list([ + { + "prompt": [ + {"role": "system", "content": "System 0"}, + {"role": "user", "content": "Prompt 0"} + ], + "completion": [ + {"role": "assistant", "content": "Completion 0"}, + {"role": "user", "content": "Prompt 1"}, + {"role": "assistant", "content": "Completion 1"}, + ], + }, + ]) + tokenizer = AutoTokenizer.from_pretrained("PrimeIntellect/Qwen3-0.6B") + dataset = SFTDataset(dataset, tokenizer=tokenizer, max_examples=1) + sample = next(iter(dataset)) + print_sample(sample["input_ids"], sample["loss_mask"], tokenizer) +``` + +This test validates the multi-turn masking but does NOT test suffix handling. + +--- + +## Conclusion + +Prime-RL's approach to multi-turn masking is solid but **does NOT handle tokens after EOS**. This is a significant difference from Forge's approach and could lead to training on garbage tokens if vLLM generates extra tokens after EOS. + +The incremental tokenization pattern is elegant and robust for multi-turn conversations, but the lack of suffix validation is a potential issue. diff --git a/debug/refactoring/FINAL_CONSOLIDATED_PROPOSAL.md b/debug/refactoring/FINAL_CONSOLIDATED_PROPOSAL.md new file mode 100644 index 000000000..55fd2e43e --- /dev/null +++ b/debug/refactoring/FINAL_CONSOLIDATED_PROPOSAL.md @@ -0,0 +1,492 @@ +# FINAL REFACTORING PROPOSAL: Consolidated Best Practices + +## Executive Summary +This document consolidates the best ideas from 10 iterative refactoring proposals for `apps/blackjack/main_v2.py`. The goal is to transform a 1987-line monolithic script into a clean, modular, production-ready codebase aligned with `apps/grpo/main.py` patterns. + +**Expected Outcomes:** +- Main file reduced from ~1987 lines to ~400 lines (80% reduction) +- Modular architecture with separate modules for environment, rollout, and token accumulation +- Configurable debug features for production use +- Clean, well-documented code matching grpo/main.py patterns + +## Phase 1: Critical Simplifications (Immediate Impact) + +### 1.1 Remove EnvironmentActor +**Problem:** Lines 1136-1156 implement an actor just to provide tokenizer access. +**Solution:** Get tokenizer directly and pass to rollout functions. + +```python +# In main(): +tokenizer = get_tokenizer(cfg.blackjack_env.model) +pad_id = tokenizer.pad_token_id or tokenizer.eos_token_id + +# Pass to rollouts: +async def continuous_rollouts(thread_id: int): + # Use tokenizer directly +``` + +**Impact:** Removes 20+ lines, eliminates unnecessary abstraction. + +### 1.2 Drastically Simplify simple_grpo_loss +**Problem:** 280 lines of debug metrics (lines 1214-1491), emergency dumps, excessive logging. +**Solution:** Keep only essential metrics and core loss computation. + +```python +def simple_grpo_loss( + logits: torch.Tensor, + input_ids: torch.Tensor, + loss_mask: torch.Tensor, + ref_logprobs: torch.Tensor, + advantages: torch.Tensor, + beta: float = 0.1, +) -> torch.Tensor: + """GRPO loss with next-token prediction and KL penalty.""" + # Create targets + targets = create_shifted_targets(input_ids, loss_mask) + logprobs = compute_logprobs(logits, targets, ignore_index=CROSS_ENTROPY_IGNORE_IDX) + + # KL divergence with stability clipping + logprob_diff = torch.clamp(ref_logprobs - logprobs, min=-20.0, max=20.0) + kl = torch.clamp(torch.exp(logprob_diff) - logprob_diff - 1, min=-10.0, max=10.0) + + # Policy loss + per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages + per_token_loss = -(per_token_policy_loss - beta * kl) + + # Per-sequence normalization + loss = ((per_token_loss * loss_mask).sum(dim=1) / loss_mask.sum(dim=1).clamp(min=1.0)).mean() + + # Essential metrics only + record_metric("loss/value", loss.item(), Reduce.MEAN) + record_metric("loss/kl_mean", (kl * loss_mask).sum() / loss_mask.sum(), Reduce.MEAN) + record_metric("loss/advantages_mean", advantages.mean().item(), Reduce.MEAN) + + return loss +``` + +**Impact:** 280 lines → 40 lines (85% reduction). Keep emergency dumps as optional config. + +### 1.3 Simplify Server Management +**Problem:** 150+ lines of over-engineered health checks, verbose logging (lines 1518-1680). +**Solution:** Simple startup with basic health check. + +```python +def start_servers(num_servers: int, base_port: int, game_name: str) -> list: + """Start OpenSpiel servers for rollout workers.""" + processes = [] + + for i in range(num_servers): + port = base_port + i + subprocess.run(["lsof", "-ti", f":{port}"], capture_output=True, stdout=subprocess.DEVNULL) + + proc = multiprocessing.Process(target=start_openspiel_server, args=(game_name, port)) + proc.start() + processes.append(proc) + + # Health check with timeout + time.sleep(2) + for i in range(num_servers): + port = base_port + i + for attempt in range(10): + try: + resp = requests.get(f"http://localhost:{port}/health", timeout=1) + if resp.status_code == 200: + break + except requests.RequestException: + if attempt == 9: + raise RuntimeError(f"Server on port {port} failed to start") + time.sleep(1) + + return processes +``` + +**Impact:** 150 lines → 30 lines (80% reduction). + +## Phase 2: Modular Architecture (Code Organization) + +### 2.1 Extract TokenAccumulator to Module +**Create:** `src/forge/data/token_accumulator.py` +**Move:** Lines 129-745 (TokenAccumulator class, ValidationMode, TruncationReason, EpisodeData) + +```python +# src/forge/data/token_accumulator.py +"""Token accumulation for multi-turn RL episodes using delta tokenization.""" + +from dataclasses import dataclass +from enum import Enum +import torch + +class ValidationMode(Enum): + STRICT = "strict" + WARN = "warn" + OFF = "off" + +class TruncationReason(Enum): + USER_TOO_LONG = "user_too_long" + ASSISTANT_TOO_LONG = "assistant_too_long" + +@dataclass +class EpisodeData: + token_ids: torch.Tensor + response_mask: torch.Tensor + logprobs: torch.Tensor + is_truncated: bool + truncation_reason: str | None = None + +class TokenAccumulator: + # ... (full implementation, simplified docstrings) +``` + +**Impact:** 600+ lines moved to dedicated module, main file much cleaner. + +### 2.2 Extract BlackjackEnv to Module +**Create:** `envs/blackjack_env/blackjack_env.py` +**Move:** Lines 752-914 (BlackjackEnv, EnvStepResult) + +```python +# envs/blackjack_env/blackjack_env.py +"""Blackjack environment for RL training.""" + +import re +from dataclasses import dataclass +from envs.openspiel_env import OpenSpielAction, OpenSpielEnv +from forge.observability.metrics import record_metric, Reduce + +@dataclass +class EnvStepResult: + observation: dict[str, str] + reward: float + done: bool + +class BlackjackEnv: + """Minimal Blackjack environment wrapper.""" + # ... (full implementation, simplified) +``` + +**Impact:** 160+ lines moved, cleaner separation of concerns. + +### 2.3 Extract Rollout Functions to Module +**Create:** `apps/blackjack/rollout.py` +**Move:** Lines 922-1113 (do_single_rollout, do_group_rollout) + +```python +# apps/blackjack/rollout.py +"""Rollout utilities for Blackjack GRPO training.""" + +import uuid +import torch +from envs.blackjack_env import BlackjackEnv +from forge.data.token_accumulator import TokenAccumulator, ValidationMode +# ... imports + +async def do_single_rollout(env, policy, tokenizer, max_seq_len, max_turns, messages, game_id=None): + """Play one game and return one Episode.""" + # ... (full implementation) +``` + +**Impact:** 190+ lines moved, rollout logic is reusable. + +## Phase 3: Data Model Simplification + +### 3.1 Simplify Episode Dataclass +**Current:** Two episode models (Episode, EpisodeData), 20 fields with complex defaults. +**Proposed:** Single, clean Episode model. + +```python +@dataclass +class Episode: + """Single episode for GRPO training.""" + episode_id: str + all_token_ids: torch.Tensor # [seq_len] + loss_mask: torch.Tensor # [seq_len], float + reward: float + + # Computed during rollout pipeline + ref_logprobs: torch.Tensor | None = None + advantage: float | None = None + + # Metadata + policy_version: int = 0 + is_truncated: bool = False + +# Type aliases (like grpo/main.py) +Group = list[Episode] +Policy = Generator +``` + +**Impact:** Clearer data model, aligned with grpo/main.py. + +### 3.2 Simplify BlackjackEnv Methods +**Changes:** +- Remove error_type distinction in `_parse_action` (return only HIT/STAND/INVALID) +- Consolidate reward computation into single method +- Remove metadata from EnvStepResult + +```python +def _parse_action(self, text: str) -> str: + """Extract action from tags. Returns HIT, STAND, or INVALID.""" + match = re.search(r"\s*(.*?)\s*", text, re.IGNORECASE | re.DOTALL) + if match: + answer = match.group(1).strip().upper() + return answer if answer in ["HIT", "STAND"] else "INVALID" + return "INVALID" + +def _compute_reward(self, env_reward: float, has_invalid: bool) -> float: + """Compute final reward with invalid action penalty.""" + base = 3.0 if env_reward > 0 else -1.0 + penalty = -10.0 if has_invalid else 0.0 + return base + penalty +``` + +**Impact:** Simpler, more maintainable environment code. + +## Phase 4: Clean Up Rollout and Training Loops + +### 4.1 Remove Excessive Debug Printing +**Problem:** Lines 1751-1781 print full episode details every rollout. +**Solution:** Conditional, minimal logging. + +```python +# In continuous_rollouts(): +if rollout_count % 100 == 0: # Only every 100 rollouts + ep = episodes[0] + print(f"[ROLLOUT {rollout_count}] Reward: {ep.reward:.2f}, Tokens: {len(ep.all_token_ids)}") +``` + +**Impact:** 95% reduction in console noise. + +### 4.2 Simplify Training Loop +**Changes:** +- Remove restart_tracer flag complexity +- Cleaner control flow with early continue +- Remove conditional logging + +```python +async def continuous_training(): + training_step = 0 + + while max_steps == -1 or training_step < max_steps: + t = Tracer("main_perf/continuous_training") + t.start() + + batch = await replay_buffer.sample.call_one(curr_policy_version=training_step) + if batch is None: + await asyncio.sleep(0.5) + t.stop() + continue + t.step("waiting_for_buffer") + + # Train + inputs, targets = batch + await trainer.train_step.call(inputs, targets) + training_step += 1 + t.step("train_step") + + # Update policy + await trainer.push_weights.call(training_step) + await policy.update_weights.fanout(training_step) + t.step("update_weights") + + # Clean up old weights + if training_step >= 2: + await drop_weights(training_step - 1) + + t.stop() + await mlogger.flush.call_one(training_step) +``` + +**Impact:** More readable, simpler control flow. + +### 4.3 Simplify Collate Function + +```python +def collate(batches: list[Group], pad_id: int) -> tuple[list[dict], list[dict]]: + """Collate episode batches into model inputs and targets.""" + inputs, targets = [], [] + + for batch in batches: + tokens = torch.nn.utils.rnn.pad_sequence( + [e.all_token_ids for e in batch], batch_first=True, padding_value=pad_id + ) + loss_mask = torch.nn.utils.rnn.pad_sequence( + [e.loss_mask for e in batch], batch_first=True, padding_value=0.0 + ) + ref_logprobs = torch.nn.utils.rnn.pad_sequence( + [e.ref_logprobs for e in batch], batch_first=True, padding_value=0.0 + ) + advantages = torch.tensor([e.advantage for e in batch]).unsqueeze(-1) + + inputs.append({"tokens": tokens}) + targets.append({ + "input_ids": tokens, + "loss_mask": loss_mask, + "ref_logprobs": ref_logprobs, + "advantages": advantages, + }) + + return inputs, targets +``` + +**Impact:** More concise, cleaner. + +## Phase 5: Polish and Production Readiness + +### 5.1 Add Configuration for Debug Features +**Add to config:** +```yaml +debug: + enabled: false + print_episodes: false + save_message_logs: false + validate_tokens: false + rollout_interval: 100 +``` + +**Use in code:** +```python +# Message logs (optional, saves memory) +message_log=accumulator.messages.copy() if cfg.debug.save_message_logs else None + +# Validation mode +validation_mode = ValidationMode.OFF if not cfg.debug.validate_tokens else ValidationMode.STRICT +``` + +### 5.2 Improve Documentation +**Add clear section headers:** +```python +# ============================================================================ +# Data Models +# ============================================================================ + +@dataclass +class Episode: + # ... + +# ============================================================================ +# Helper Actors +# ============================================================================ + +@dataclass +class ComputeAdvantages(ForgeActor): + # ... + +# ============================================================================ +# Training Functions +# ============================================================================ + +def collate(...): + # ... +``` + +**Add comprehensive docstrings:** +```python +def simple_grpo_loss(...) -> torch.Tensor: + """GRPO loss with next-token prediction and KL penalty. + + Implements Group Relative Policy Optimization (GRPO) loss: + L = -E[(π/π_old) * A - β * KL(π || π_ref)] + + Args: + logits: Model logits [batch_size, seq_len, vocab_size] + input_ids: Input token IDs [batch_size, seq_len] + loss_mask: Loss mask [batch_size, seq_len], 1.0 for trainable + ref_logprobs: Reference model log probs [batch_size, seq_len] + advantages: Advantages [batch_size, 1] + beta: KL penalty coefficient + + Returns: + Scalar loss value + """ +``` + +### 5.3 Clean Up Imports +Organize imports by category: +```python +# Standard library +import asyncio +import multiprocessing +# ... + +# Third-party +import torch +import torch.nn.functional as F +# ... + +# Forge imports +from forge.actors.generator import Generator +# ... + +# Local imports +from apps.blackjack.rollout import do_single_rollout +from envs.blackjack_env import BlackjackEnv +``` + +## Final File Structure + +After refactoring: +``` +apps/blackjack/ +├── main_v2.py (~400 lines - main training loop) +├── rollout.py (~200 lines - rollout functions) +└── qwen3_1_7b.yaml (config with debug section) + +envs/blackjack_env/ +├── __init__.py +└── blackjack_env.py (~150 lines - environment) + +src/forge/data/ +├── token_accumulator.py (~600 lines - token accumulation) +└── common.py (existing) +``` + +## Implementation Phases + +**Phase 1 (Immediate - 2 hours):** +1. Remove EnvironmentActor +2. Simplify simple_grpo_loss (remove debug metrics) +3. Simplify server management +4. Remove excessive debug printing + +**Phase 2 (Modularization - 3 hours):** +1. Extract TokenAccumulator to module +2. Extract BlackjackEnv to module +3. Extract rollout functions to module +4. Update imports + +**Phase 3 (Polish - 2 hours):** +1. Simplify Episode dataclass +2. Add configuration for debug features +3. Improve documentation and docstrings +4. Clean up imports and formatting + +## Metrics + +**Before:** +- Main file: 1987 lines +- Monolithic structure +- Excessive debug output +- No modularity + +**After:** +- Main file: ~400 lines (80% reduction) +- 4 focused modules (main, rollout, env, token_accumulator) +- Configurable debug features +- Production-ready +- Well-documented +- Aligned with grpo/main.py patterns + +## Risk Assessment + +**Low Risk:** +- Code movement to modules (no logic changes) +- Removing debug prints +- Documentation improvements + +**Medium Risk:** +- Simplifying simple_grpo_loss (removing metrics) + - Mitigation: Keep metrics configurable via debug.enabled flag +- Server management simplification + - Mitigation: Test thoroughly on target infrastructure + +**High Risk:** +- None (no core algorithm changes) diff --git a/debug/refactoring/OPEN_QUESTIONS.md b/debug/refactoring/OPEN_QUESTIONS.md new file mode 100644 index 000000000..786710a66 --- /dev/null +++ b/debug/refactoring/OPEN_QUESTIONS.md @@ -0,0 +1,381 @@ +# Open Questions for Refactoring Review + +This document lists questions and decisions that need to be addressed before implementing the refactoring proposals. + +## Architecture Decisions + +### Q1: TokenAccumulator Module Location +**Question:** Should `TokenAccumulator` live in `src/forge/data/token_accumulator.py` or somewhere else? + +**Options:** +1. `src/forge/data/token_accumulator.py` - Makes it available to all forge apps +2. `apps/blackjack/token_accumulator.py` - Keeps it local to blackjack +3. `envs/utils/token_accumulator.py` - Groups with environment utilities + +**Recommendation:** Option 1 (forge-level) - TokenAccumulator is a general-purpose utility for any multi-turn RL task, not blackjack-specific. + +**Decision needed:** ☐ + +--- + +### Q2: Server Management Module +**Question:** Should server management functions be extracted to a separate module? + +**Options:** +1. Keep in main_v2.py (after simplification, only ~30 lines) +2. Move to `envs/openspiel_env/server_utils.py` +3. Move to `apps/blackjack/server_utils.py` + +**Recommendation:** Option 2 - It's OpenSpiel-specific, not blackjack-specific. + +**Decision needed:** ☐ + +--- + +### Q3: Rollout Module Location +**Question:** Should rollout functions be in `apps/blackjack/rollout.py` or elsewhere? + +**Options:** +1. `apps/blackjack/rollout.py` - Keeps blackjack logic together +2. `apps/blackjack/main_v2.py` - Keep in main file (simpler) + +**Recommendation:** Option 1 - Separates rollout logic from main loop, makes testing easier. + +**Decision needed:** ☐ + +--- + +## Loss Function Questions + +### Q4: Debug Metrics in simple_grpo_loss +**Question:** How much debug logging should we keep in `simple_grpo_loss`? + +**Current state:** ~50 metrics, emergency dumps (280 lines) + +**Options:** +1. **Minimal:** 3-5 essential metrics only (loss, KL, advantages) +2. **Moderate:** 10-15 metrics (add logprobs stats, per-token stats) +3. **Configurable:** All metrics controlled by `cfg.debug.loss_metrics_verbose` flag + +**Recommendation:** Option 3 - Best of both worlds. Production uses minimal, debugging uses full. + +**Decision needed:** ☐ + +--- + +### Q5: Emergency Tensor Dumps +**Question:** Should we keep the emergency tensor dump feature that triggers on huge loss values? + +**Current state:** Lines 1432-1489 save all tensors to /tmp when loss > 1000 + +**Options:** +1. Remove completely - it's never triggered in practice +2. Keep but make configurable via `cfg.debug.emergency_dumps` +3. Keep and improve - save to a configured directory, add more context + +**Recommendation:** Option 2 - Useful for debugging edge cases, but should be opt-in. + +**Decision needed:** ☐ + +--- + +## Environment Questions + +### Q6: Invalid Action Penalty +**Question:** Should the -10 penalty for invalid actions be configurable? + +**Current state:** Hardcoded -10.0 penalty in `_compute_reward` + +**Options:** +1. Keep hardcoded - it's a reasonable default +2. Make configurable via `cfg.blackjack_env.invalid_action_penalty` +3. Remove penalty entirely - let the model learn without artificial penalties + +**Recommendation:** Option 2 - Different tasks may want different penalties. + +**Decision needed:** ☐ + +--- + +### Q7: System Prompt Location +**Question:** Should the system prompt be in the config file or in code? + +**Current state:** Hardcoded in main_v2.py (lines 1698-1720) + +**Options:** +1. Move to config YAML - easier to iterate on prompts +2. Keep in code - simpler, less indirection +3. Both - default in code, override via config + +**Recommendation:** Option 3 - Flexibility without losing simplicity. + +**Decision needed:** ☐ + +--- + +## Validation and Testing + +### Q8: TokenAccumulator Validation +**Question:** What should the default validation mode be? + +**Current state:** `ValidationMode.OFF` in production code + +**Options:** +1. `OFF` - No runtime cost, but harder to debug +2. `WARN` - Print warnings but don't fail +3. `STRICT` in development, `OFF` in production + +**Recommendation:** Option 3 - Use config to control: `cfg.blackjack_env.token_validation` + +**Decision needed:** ☐ + +--- + +### Q9: Message Log Storage +**Question:** Should message logs be stored in Episode objects by default? + +**Current state:** Always stored, can be large for long episodes + +**Options:** +1. Always store - useful for debugging +2. Never store - saves memory +3. Configurable via `cfg.debug.save_message_logs` + +**Recommendation:** Option 3 - Only store when debugging. + +**Decision needed:** ☐ + +--- + +## Performance Questions + +### Q10: Sequential vs Parallel Rollouts +**Question:** Should games within a group be run sequentially or in parallel? + +**Current state:** Sequential (one env per group, shared server) + +**Options:** +1. Keep sequential - Simpler, avoids race conditions +2. Make parallel - Faster, but need one server per game +3. Configurable - Let config decide based on infrastructure + +**Recommendation:** Option 1 - Blackjack games are fast enough that parallelism within a group doesn't matter. + +**Decision needed:** ☐ + +--- + +### Q11: Number of Rollout Threads +**Question:** What's the recommended number of rollout threads for blackjack? + +**Current state:** Configurable, each thread needs its own server + +**Options:** +1. Single thread (simpler, fewer servers) +2. Multiple threads (one per CPU core) +3. Document recommendation in config + +**Recommendation:** Option 3 - Add comment in config: `rollout_threads: 4 # One per CPU core` + +**Decision needed:** ☐ + +--- + +## Configuration Questions + +### Q12: Debug Configuration Defaults +**Question:** What should the default values be for debug configuration? + +**Proposed defaults:** +```yaml +debug: + enabled: false # Disable all debug features by default + print_episodes: false + save_message_logs: false + validate_tokens: false + emergency_dumps: false + rollout_interval: 100 + loss_metrics_verbose: false +``` + +**Are these reasonable?** ☐ + +--- + +### Q13: Backward Compatibility +**Question:** Should we maintain backward compatibility with existing checkpoints and configs? + +**Options:** +1. Yes - Add migration logic for old configs +2. No - Breaking change, update configs manually +3. Support both for one release, then deprecate + +**Recommendation:** Option 2 - This is internal research code, clean break is fine. + +**Decision needed:** ☐ + +--- + +## Metric Naming + +### Q14: Metric Naming Convention +**Question:** Should we standardize metric names? + +**Current state:** Inconsistent naming (`groups/rate_dropped`, `buffer/episodes_accepted`, etc.) + +**Proposed convention:** +``` +loss/* - Loss function metrics +episode/* - Per-episode metrics +rollout/* - Rollout loop metrics +buffer/* - Replay buffer metrics +game/* - Game environment metrics +policy/* - Policy-related metrics +ref_model/* - Reference model metrics +``` + +**Should we enforce this?** ☐ + +--- + +## Module Organization + +### Q15: File Naming Convention +**Question:** Should we rename `main_v2.py` after refactoring? + +**Options:** +1. Keep as `main_v2.py` +2. Rename to `main.py` (deprecate old main_v2.py) +3. Rename to `grpo_main.py` for clarity + +**Recommendation:** Option 1 - Less disruption, clear that it's the second iteration. + +**Decision needed:** ☐ + +--- + +### Q16: Import Organization +**Question:** Should we use absolute or relative imports in the new modules? + +**Example:** +```python +# Absolute +from forge.data.token_accumulator import TokenAccumulator + +# Relative +from ...data.token_accumulator import TokenAccumulator +``` + +**Recommendation:** Absolute imports - More explicit, easier to understand. + +**Decision needed:** ☐ + +--- + +## Testing and Validation + +### Q17: Testing Strategy +**Question:** What level of testing should we add during refactoring? + +**Options:** +1. No tests - Just ensure existing code runs +2. Unit tests for extracted modules (TokenAccumulator, BlackjackEnv) +3. Integration test for full training loop +4. All of the above + +**Recommendation:** Option 2 - Unit tests for new modules, smoke test for main loop. + +**Decision needed:** ☐ + +--- + +### Q18: Regression Testing +**Question:** How do we verify the refactored code produces the same results? + +**Options:** +1. Visual inspection - Run both versions, compare metrics +2. Automated comparison - Save outputs, assert equality +3. Don't validate - Trust the refactoring + +**Recommendation:** Option 1 - Run a few short training runs, compare loss curves. + +**Decision needed:** ☐ + +--- + +## Implementation Questions + +### Q19: Implementation Order +**Question:** Which phase should we implement first? + +**Proposed order:** +1. Phase 1: Critical simplifications (biggest impact, lowest risk) +2. Phase 2: Modular architecture (structural changes) +3. Phase 3: Polish and documentation + +**Is this the right order?** ☐ + +--- + +### Q20: Rollback Strategy +**Question:** What if the refactoring breaks something? + +**Options:** +1. Keep old main_v2.py as main_v2_old.py backup +2. Use git branches - feature branch for refactoring +3. Just commit frequently to main + +**Recommendation:** Option 2 - Git branch is the right tool for this. + +**Decision needed:** ☐ + +--- + +## Additional Considerations + +### Q21: Documentation Updates +**Question:** What documentation needs to be updated? + +**Items:** +- [ ] Update usage comment at top of file +- [ ] Update README for blackjack app +- [ ] Add docstrings to new modules +- [ ] Update config file comments + +**All of these?** ☐ + +--- + +### Q22: Alignment with Future Changes +**Question:** Are there any upcoming changes to grpo/main.py that we should align with? + +**Action needed:** Review recent commits to grpo/main.py for patterns to adopt. + +**Decision needed:** ☐ + +--- + +## Summary of Decisions Needed + +**High Priority (blocking refactoring):** +- Q4: Debug metrics level in loss function +- Q5: Emergency dump feature +- Q8: TokenAccumulator validation default +- Q9: Message log storage + +**Medium Priority (affects architecture):** +- Q1: TokenAccumulator location +- Q2: Server management module +- Q3: Rollout module location + +**Low Priority (nice to have):** +- Q6: Invalid action penalty configurability +- Q7: System prompt location +- Q14: Metric naming standardization +- Q15: File renaming + +**For Documentation:** +- Q21: Documentation updates +- Q12: Debug config defaults + +Please review and provide decisions on at least the high-priority questions before beginning implementation. diff --git a/debug/refactoring/proposal_01_initial_cleanup.md b/debug/refactoring/proposal_01_initial_cleanup.md new file mode 100644 index 000000000..2112a5d1f --- /dev/null +++ b/debug/refactoring/proposal_01_initial_cleanup.md @@ -0,0 +1,117 @@ +# Refactoring Proposal 01: Initial Cleanup + +## Overview +This first proposal focuses on removing obvious dead code, excessive debug logging, and simplifying the most over-engineered components. The goal is to reduce file size by ~30% while maintaining all core functionality. + +## Key Changes + +### 1. Remove EnvironmentActor - Pass Tokenizer Directly +The `EnvironmentActor` (lines 1136-1156) exists only to provide tokenizer access. This is unnecessary overhead. + +**Before:** +```python +@dataclass +class EnvironmentActor(ForgeActor): + model: str = "Qwen/Qwen3-1.7B" + + @endpoint + def setup(self): + self._tokenizer = get_tokenizer(self.model) + + @endpoint + async def get_tokenizer(self): + return self._tokenizer +``` + +**After:** +```python +# In main(): +tokenizer = get_tokenizer(cfg.blackjack_env.model) + +# Pass directly to rollout: +async def continuous_rollouts(thread_id: int, tokenizer): + # Use tokenizer directly, no actor needed +``` + +### 2. Drastically Simplify simple_grpo_loss +Currently 280 lines (1214-1491), mostly debug metrics. Keep only essential metrics. + +**Before:** 50+ metric recordings, emergency dumps, huge value detection +**After:** ~40 lines with core loss computation + 5-6 essential metrics + +```python +def simple_grpo_loss( + logits: torch.Tensor, + input_ids: torch.Tensor, + loss_mask: torch.Tensor, + ref_logprobs: torch.Tensor, + advantages: torch.Tensor, + beta: float = 0.1, +) -> torch.Tensor: + """GRPO loss with next-token prediction.""" + targets = create_shifted_targets(input_ids, loss_mask) + logprobs = compute_logprobs(logits, targets, ignore_index=CROSS_ENTROPY_IGNORE_IDX) + + # KL with stability clipping + logprob_diff = torch.clamp(ref_logprobs - logprobs, min=-20.0, max=20.0) + kl = torch.clamp(torch.exp(logprob_diff) - logprob_diff - 1, min=-10.0, max=10.0) + + # Policy loss + per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages + per_token_loss = -(per_token_policy_loss - beta * kl) + + # Per-sequence normalization + loss = ((per_token_loss * loss_mask).sum(dim=1) / loss_mask.sum(dim=1).clamp(min=1.0)).mean() + + # Essential metrics only + record_metric("loss/value", loss.item(), Reduce.MEAN) + record_metric("loss/kl_mean", (kl * loss_mask).sum() / loss_mask.sum(), Reduce.MEAN) + record_metric("loss/advantages_mean", advantages.mean().item(), Reduce.MEAN) + + return loss +``` + +### 3. Simplify Server Management +Remove over-engineered health checks, multiple retry loops, and verbose logging. + +**Before:** 100+ lines of server startup with health checks, retry logic, process cleanup +**After:** +```python +def start_servers(num_servers: int, base_port: int, game_name: str): + """Start OpenSpiel servers for rollout workers.""" + processes = [] + for i in range(num_servers): + port = base_port + i + # Kill existing process if any + subprocess.run(["lsof", "-ti", f":{port}"], capture_output=True, text=True) + + proc = multiprocessing.Process( + target=start_openspiel_server, + args=(game_name, port) + ) + proc.start() + processes.append(proc) + + # Simple health check + time.sleep(2) # Give servers time to start + for i, port in enumerate(range(base_port, base_port + num_servers)): + requests.get(f"http://localhost:{port}/health", timeout=5) + + return processes +``` + +### 4. Remove Debug Prints from Rollout Loop +Lines 1751-1781 contain excessive debug printing every rollout. + +**Before:** Prints full episode details, all messages, decoded tokens +**After:** Conditional debug logging only when explicitly enabled via config + +### 5. Remove Dead Code +- `_show_colorized_tokens` (lines 529-534) - marked DEPRECATED +- Commented-out validation code (lines 720-744) + +## Impact +- **File size:** ~1987 lines → ~1400 lines (30% reduction) +- **Readability:** Significantly improved, less noise +- **Performance:** Negligible improvement (removed metrics are cheap) +- **Risk:** Low - only removing debug code, not changing logic diff --git a/debug/refactoring/proposal_02_extract_accumulator.md b/debug/refactoring/proposal_02_extract_accumulator.md new file mode 100644 index 000000000..fae85ed2f --- /dev/null +++ b/debug/refactoring/proposal_02_extract_accumulator.md @@ -0,0 +1,146 @@ +# Refactoring Proposal 02: Extract TokenAccumulator + +## Overview +Building on Proposal 01, this iteration focuses on moving the large `TokenAccumulator` class (400+ lines) to a separate module. This follows the single-responsibility principle and makes main_v2.py focus on the training loop logic. + +## Key Changes + +### 1. Move TokenAccumulator to Separate File +Create `src/forge/data/token_accumulator.py` with the full class implementation. + +**New File Structure:** +``` +src/forge/data/ +├── common.py (already exists) +├── token_accumulator.py (NEW) +└── ... +``` + +**In token_accumulator.py:** +```python +"""Token accumulation for multi-turn RL episodes. + +Handles incremental tokenization using delta tokenization against +a stable anchor conversation. +""" +from dataclasses import dataclass +from enum import Enum +import threading +import torch + +class ValidationMode(Enum): + STRICT = "strict" + WARN = "warn" + OFF = "off" + +class TruncationReason(Enum): + USER_TOO_LONG = "user_too_long" + ASSISTANT_TOO_LONG = "assistant_too_long" + MAX_NUM_TURNS = "max_num_turns" + +@dataclass +class EpisodeData: + """Episode data as tensors, ready for training.""" + token_ids: torch.Tensor + response_mask: torch.Tensor + logprobs: torch.Tensor + is_truncated: bool + truncation_reason: str | None = None + +class TokenAccumulator: + """Accumulate tokens for multi-turn RL episodes using vLLM tokens directly. + + See module docstring for delta tokenization strategy. + """ + # ... (full implementation) +``` + +**In main_v2.py:** +```python +from forge.data.token_accumulator import ( + TokenAccumulator, + ValidationMode, + TruncationReason, + EpisodeData, +) +``` + +### 2. Simplify TokenAccumulator Docstrings +The current docstring is 60+ lines. Move detailed examples to module-level docstring, keep class docstring concise. + +**Before (lines 162-223):** Massive docstring with examples +**After:** +```python +class TokenAccumulator: + """Accumulate tokens for multi-turn episodes with delta tokenization. + + Uses a stable anchor conversation to extract token deltas, avoiding + expensive re-tokenization. See module docstring for details. + + Args: + tokenizer: HF tokenizer with apply_chat_template + messages: Initial messages (must include system) + max_len: Maximum sequence length + eos_id: End-of-sequence token ID + thinking: Enable tags for Qwen + validation: Validation strictness + """ +``` + +### 3. Simplify show_messages Method +Currently has complex colorization logic. Make it simpler for debugging purposes. + +**Before:** Grouped token runs, color coding, character limits +**After:** +```python +def show_messages(self, show_tokens: bool = False) -> None: + """Show accumulated messages and optionally token-level details.""" + print("=" * 80) + print(f"TokenAccumulator: {len(self._tokens)}/{self.max_len} tokens") + trainable_count = sum(self._mask) + print(f"Trainable: {trainable_count}/{len(self._tokens)}") + print("=" * 80) + + for i, msg in enumerate(self.messages): + print(f"[{i}] {msg['role']:10s}: {msg['content'][:100]}...") + + if show_tokens: + # Simple token dump without complex colorization + for i in range(len(self._tokens)): + symbol = "✓" if self._mask[i] else "·" + print(f"{symbol} {self._tokens[i]}") + + print("=" * 80) +``` + +### 4. Remove Unused Validation +The prefix consistency check is disabled (lines 720-744). Remove it entirely. + +### 5. Clean Up BlackjackEnv +Move observation formatting logic to be more concise. + +**Before:** +```python +def _format_observation(self, observation) -> str: + player_total = observation.metadata.get("player_total", "?") + dealer_card = observation.metadata.get("dealer_card", "?") + dealer_str = "Ace" if dealer_card == 1 else str(dealer_card) + return f"Hand: {player_total}, Dealer: {dealer_str}" +``` + +**After:** +```python +def _format_observation(self, obs) -> str: + """Format game state as text.""" + player = obs.metadata.get("player_total", "?") + dealer = obs.metadata.get("dealer_card", "?") + dealer = "Ace" if dealer == 1 else str(dealer) + return f"Hand: {player}, Dealer: {dealer}" +``` + +## Impact +- **File size:** ~1400 lines → ~900 lines (additional 35% reduction) +- **Modularity:** Much better - token accumulation logic is now reusable +- **Testability:** TokenAccumulator can be unit tested independently +- **Readability:** Main file focuses on RL loop, not tokenization details +- **Risk:** Low - pure code movement, no logic changes diff --git a/debug/refactoring/proposal_03_simplify_models.md b/debug/refactoring/proposal_03_simplify_models.md new file mode 100644 index 000000000..95cd9dc6b --- /dev/null +++ b/debug/refactoring/proposal_03_simplify_models.md @@ -0,0 +1,171 @@ +# Refactoring Proposal 03: Simplify BlackjackEnv and Episode Models + +## Overview +Building on Proposals 01-02, this iteration simplifies the BlackjackEnv class and consolidates the Episode data models. We align more closely with the original GRPO main.py structure. + +## Key Changes + +### 1. Simplify Episode Dataclass +Currently have two Episode-related classes (Episode, EpisodeData). The main Episode class is overly complex. + +**Before (lines 92-112):** +```python +@dataclass +class Episode: + # Required fields (no defaults) + episode_id: str + all_token_ids: torch.Tensor + response_mask: torch.Tensor + loss_mask: torch.Tensor + reward: float + + # Optional fields (with defaults) + task_name: str = "blackjack" + policy_version: int = 0 + is_truncated: bool = False + advantage: float | None = None + logprobs: torch.Tensor | None = None + ref_logprobs: torch.Tensor | None = None + metadata: dict[str, Any] = field(default_factory=dict) + message_log: list[dict[str, str]] | None = None +``` + +**After (aligned with grpo/main.py style):** +```python +@dataclass +class Episode: + """Single episode for GRPO training.""" + episode_id: str + all_token_ids: torch.Tensor # [seq_len] + loss_mask: torch.Tensor # [seq_len], float + reward: float + + # Computed during rollout pipeline + ref_logprobs: torch.Tensor | None = None + advantage: float | None = None + + # Metadata + policy_version: int = 0 + is_truncated: bool = False + + # Debug info (optional, can be dropped in production) + message_log: list[dict] | None = None +``` + +**Rationale:** We don't need `response_mask` AND `loss_mask`. The loss_mask is sufficient (it's the shifted version). Remove task_name (always blackjack). Simplify metadata. + +### 2. Simplify BlackjackEnv - Remove Excessive Metrics +The environment records too many granular metrics (lines 812-848). + +**Before:** +```python +if is_invalid: + self.has_invalid_action = True + action_name = "STAND" + record_metric("game/invalid_action_rate", 1, Reduce.MEAN) + + if error_type == "NO_TAGS": + print(f"[ENV] ⚠️ INVALID action: Missing tags!") + print(f"[ENV] Text: '{action_text}...'") + record_metric("game/missing_answer_tags", 1, Reduce.SUM) + elif error_type == "INVALID_CONTENT": + print(f"[ENV] ⚠️ INVALID action: Bad content in tags!") + print(f"[ENV] Text: '{action_text}...'") + record_metric("game/invalid_answer_content", 1, Reduce.SUM) + # ... more metrics +else: + record_metric("game/invalid_action_rate", 0, Reduce.MEAN) +``` + +**After:** +```python +if is_invalid: + self.has_invalid_action = True + action_name = "STAND" + record_metric("game/invalid_actions", 1, Reduce.SUM) +``` + +**Rationale:** One metric for invalid actions is enough. Debug prints can be removed (use proper logging if needed). + +### 3. Remove Penalty Logic from Environment +The -10 penalty for invalid actions (line 841) mixes reward shaping with environment logic. Move to reward computation. + +**Before:** +```python +if result.done: + reward = self._compute_reward(result.reward) + if self.has_invalid_action: + reward -= 10.0 + record_metric("game/invalid_action_penalty", 1, Reduce.SUM) +``` + +**After:** +```python +def _compute_reward(self, env_reward: float, has_invalid: bool) -> float: + """Compute final reward with penalty for invalid actions.""" + base_reward = 3.0 if env_reward > 0 else -1.0 + penalty = -10.0 if has_invalid else 0.0 + return base_reward + penalty +``` + +### 4. Simplify EnvStepResult +Remove metadata field - it's barely used. + +**Before:** +```python +@dataclass +class EnvStepResult: + observation: dict[str, str] + reward: float + done: bool + metadata: dict[str, Any] = field(default_factory=dict) +``` + +**After:** +```python +@dataclass +class EnvStepResult: + observation: dict[str, str] + reward: float + done: bool +``` + +### 5. Clean Up Action Parsing +The regex-based parsing is fine, but simplify the return type. + +**Before:** +```python +def _parse_action(self, text: str) -> tuple[str, str]: + """Returns: (action, error_type)""" + # ... parsing logic + if match: + answer = match.group(1).strip().upper() + if answer == "HIT": + return ("HIT", "") + elif answer == "STAND": + return ("STAND", "") + else: + return ("INVALID", "INVALID_CONTENT") + else: + return ("INVALID", "NO_TAGS") +``` + +**After:** +```python +def _parse_action(self, text: str) -> str: + """Extract action from tags. Returns HIT, STAND, or INVALID.""" + match = re.search(r"\s*(.*?)\s*", text, re.IGNORECASE | re.DOTALL) + if match: + answer = match.group(1).strip().upper() + return answer if answer in ["HIT", "STAND"] else "INVALID" + return "INVALID" +``` + +**Rationale:** We don't need to distinguish NO_TAGS vs INVALID_CONTENT for the core logic. This simplification makes the code cleaner. + +## Impact +- **Episode class:** 20 lines → 15 lines +- **BlackjackEnv:** Cleaner, less coupled to metrics +- **Readability:** Much improved, less noise +- **Alignment:** Closer to grpo/main.py style +- **Risk:** Low - simplifying without breaking functionality diff --git a/debug/refactoring/proposal_04_simplify_rollout.md b/debug/refactoring/proposal_04_simplify_rollout.md new file mode 100644 index 000000000..df5309e72 --- /dev/null +++ b/debug/refactoring/proposal_04_simplify_rollout.md @@ -0,0 +1,187 @@ +# Refactoring Proposal 04: Simplify Rollout Logic and Debug Output + +## Overview +Building on Proposals 01-03, this iteration simplifies the rollout loop, removes excessive debug printing, and streamlines episode creation. + +## Key Changes + +### 1. Remove Verbose Debug Printing from Rollout Loop +Lines 1751-1781 print full episode details every rollout. This is excessive. + +**Before:** +```python +# ============ Debug: Print first episode ============ +if episodes: + ep = episodes[0] + print(f"\n{'='*80}") + print(f"[ROLLOUT {rollout_count}] Episode 0 Debug Info") + print(f"{'='*80}") + print(f"Reward: {ep.reward}, Truncated: {ep.is_truncated}, ...") + print(f"Total tokens: {len(ep.all_token_ids)}, ...") + print(f"\n--- Messages ---") + for i, msg in enumerate(ep.message_log): + # ... print all messages + print(f"\n--- Decoded all_token_ids ---") + decoded_text = tokenizer.decode(ep.all_token_ids.tolist()) + print(decoded_text) + print(f"{'='*80}\n") + print(f"\n--- decoded_response_text ---") + # ... more printing +``` + +**After:** +```python +# Conditional debug logging +if rollout_count % 100 == 0: # Only every 100 rollouts + ep = episodes[0] + print(f"[ROLLOUT {rollout_count}] Reward: {ep.reward:.2f}, " + f"Tokens: {len(ep.all_token_ids)}, Truncated: {ep.is_truncated}") +``` + +**Rationale:** Debug info should be occasional, not every iteration. Add a config flag `debug_rollouts` if needed. + +### 2. Simplify Episode Creation in do_single_rollout +The episode creation logic (lines 1046-1071) mixes tensor operations with metadata. + +**Before:** +```python +# Create loss_mask by shifting response_mask using torch.roll +loss_mask_tensor = torch.roll( + episode_data.response_mask, shifts=-1, dims=0 +).float() +loss_mask_tensor[-1] = 0.0 + +return Episode( + episode_id=game_id, + task_name="blackjack", + policy_version=policy_version, + is_truncated=episode_data.is_truncated, + all_token_ids=episode_data.token_ids, + response_mask=episode_data.response_mask, + loss_mask=loss_mask_tensor, + reward=final_reward, + logprobs=episode_data.logprobs, + message_log=accumulator.messages.copy(), + metadata={ + "truncation_reason": episode_data.truncation_reason, + "hit_max_turns": hit_max_turns, + "num_turns": turn_num, + "num_trainable_tokens": episode_data.response_mask.sum().item(), + **(result.metadata if "result" in locals() else {}), + }, +) +``` + +**After:** +```python +# Create loss_mask (shift response_mask by 1 for next-token prediction) +loss_mask = torch.roll(episode_data.response_mask, shifts=-1, dims=0).float() +loss_mask[-1] = 0.0 + +return Episode( + episode_id=game_id, + all_token_ids=episode_data.token_ids, + loss_mask=loss_mask, + reward=final_reward, + ref_logprobs=None, # Set later by ref model + advantage=None, # Set later by advantage computation + policy_version=policy_version, + is_truncated=episode_data.is_truncated, + message_log=accumulator.messages.copy() if debug_mode else None, +) +``` + +**Rationale:** Simpler, matches updated Episode dataclass from Proposal 03. + +### 3. Remove Redundant Metrics in Rollout +Lines 1037-1044 record per-episode metrics that are rarely useful. + +**Before:** +```python +if episode_data.truncation_reason: + record_metric( + f"episode/truncated_{episode_data.truncation_reason}", + 1, + Reduce.SUM, + ) +record_metric("episode/total_tokens", len(episode_data.token_ids), Reduce.MEAN) +record_metric("episode/turns", turn_num, Reduce.MEAN) +``` + +**After:** +```python +# Aggregate metrics only +record_metric("episode/truncation_rate", + 1 if episode_data.is_truncated else 0, + Reduce.MEAN) +record_metric("episode/avg_tokens", len(episode_data.token_ids), Reduce.MEAN) +``` + +### 4. Simplify Sequential Rollout Loop +The comment says "run games SEQUENTIALLY" but the code is unnecessarily verbose (lines 1728-1747). + +**Before:** +```python +# ============ Step 1: Create environments ============ +# Run games SEQUENTIALLY to avoid race conditions on shared server +# (each thread has its own server, but games within a thread share it) + +# ============ Step 2: Rollout group (SEQUENTIALLY) ============ +episodes = [] +for i in range(group_size): + env = BlackjackEnv(server_url=server_url) + game_id = f"game_{i}_{uuid.uuid4().hex[:8]}" + + episode = await do_single_rollout( + env=env, + policy=policy, + tokenizer=tokenizer, + max_seq_len=max_seq_len, + max_turns=max_turns, + messages=initial_messages, + game_id=game_id, + ) + episodes.append(episode) + +t.step("play_games") +``` + +**After:** +```python +# Rollout group (sequential to avoid server race conditions) +episodes = [ + await do_single_rollout( + env=BlackjackEnv(server_url), + policy=policy, + tokenizer=tokenizer, + max_seq_len=max_seq_len, + max_turns=max_turns, + messages=initial_messages, + game_id=f"game_{i}_{uuid.uuid4().hex[:8]}", + ) + for i in range(group_size) +] +t.step("play_games") +``` + +**Rationale:** More concise, equally clear. + +### 5. Remove Unused result.metadata +Since EnvStepResult.metadata was removed in Proposal 03, clean up references. + +**Before:** +```python +metadata={ + ..., + **(result.metadata if "result" in locals() else {}), +} +``` + +**After:** (removed) + +## Impact +- **Rollout loop:** Much cleaner, less verbose +- **Debug output:** Reduced by 95% (only occasional logging) +- **Code size:** Additional ~100 lines removed +- **Performance:** Slightly better (less string formatting/printing) +- **Risk:** Low - mostly removing debug code diff --git a/debug/refactoring/proposal_05_streamline_training.md b/debug/refactoring/proposal_05_streamline_training.md new file mode 100644 index 000000000..da2bd3d0c --- /dev/null +++ b/debug/refactoring/proposal_05_streamline_training.md @@ -0,0 +1,259 @@ +# Refactoring Proposal 05: Streamline Training Loop and Collate Function + +## Overview +Building on Proposals 01-04, this iteration focuses on the training loop and data collation. We align the collate function more closely with grpo/main.py while keeping the improvements from blackjack (loss_mask instead of padding_mask). + +## Key Changes + +### 1. Simplify Collate Function +Current implementation (lines 1163-1211) is more complex than needed. + +**Before:** +```python +def collate( + batches: list[list[Episode]], + pad_id: int, +) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: + """Collates a list of batches (groups) into inputs and targets.""" + inputs = [] + targets = [] + + for batch in batches: + # Stack all tensors (pad to max length in batch) + all_tokens = [e.all_token_ids for e in batch] + all_tokens = torch.nn.utils.rnn.pad_sequence( + all_tokens, batch_first=True, padding_value=pad_id + ) + + loss_masks = [e.loss_mask for e in batch] + loss_masks = torch.nn.utils.rnn.pad_sequence( + loss_masks, batch_first=True, padding_value=0.0 + ) + + ref_logprobs = [e.ref_logprobs for e in batch] + ref_logprobs = torch.nn.utils.rnn.pad_sequence( + ref_logprobs, batch_first=True, padding_value=0.0 + ) + + advantages = torch.tensor([e.advantage for e in batch]).unsqueeze(-1) + + input = {"tokens": all_tokens} + target = { + "input_ids": all_tokens, # For torch.roll in loss + "loss_mask": loss_masks, + "ref_logprobs": ref_logprobs, + "advantages": advantages, + } + + inputs.append(input) + targets.append(target) + + return inputs, targets +``` + +**After:** +```python +def collate( + batches: list[list[Episode]], + pad_id: int, +) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: + """Collate episode batches into model inputs and targets.""" + inputs, targets = [], [] + + for batch in batches: + # Pad sequences to max length in batch + tokens = torch.nn.utils.rnn.pad_sequence( + [e.all_token_ids for e in batch], + batch_first=True, + padding_value=pad_id, + ) + loss_mask = torch.nn.utils.rnn.pad_sequence( + [e.loss_mask for e in batch], + batch_first=True, + padding_value=0.0, + ) + ref_logprobs = torch.nn.utils.rnn.pad_sequence( + [e.ref_logprobs for e in batch], + batch_first=True, + padding_value=0.0, + ) + advantages = torch.tensor([e.advantage for e in batch]).unsqueeze(-1) + + inputs.append({"tokens": tokens}) + targets.append({ + "input_ids": tokens, + "loss_mask": loss_mask, + "ref_logprobs": ref_logprobs, + "advantages": advantages, + }) + + return inputs, targets +``` + +**Rationale:** More concise, single-pass construction of tensors. + +### 2. Simplify Continuous Training Loop +The training loop (lines 1875-1920) has unnecessary complexity around tracer restarts. + +**Before:** +```python +async def continuous_training(): + training_step = 0 + restart_tracer = True + + while max_steps == -1 or training_step < max_steps: + if restart_tracer: + t = Tracer("main_perf/continuous_training") + t.start() + restart_tracer = False + + batch = await replay_buffer.sample.call_one(curr_policy_version=training_step) + if batch is None: + if training_step > 2 and training_step % 5 == 0: + print(f"[TRAINING] Step {training_step}: Waiting for buffer...") + await asyncio.sleep(1.0) + else: + t.step("waiting_for_buffer") + print(f"[TRAINING] Step {training_step}: Starting training") + + inputs, targets = batch + await trainer.train_step.call(inputs, targets) + training_step += 1 + t.step("train_step") + + await trainer.push_weights.call(training_step) + t.step("push_weights") + + await policy.update_weights.fanout(training_step) + t.step("update_weights") + + if training_step >= 2: + await drop_weights(training_step - 1) + t.step("drop_weights") + + t.stop() + restart_tracer = True + + await mlogger.flush.call_one(training_step) +``` + +**After:** +```python +async def continuous_training(): + training_step = 0 + + while max_steps == -1 or training_step < max_steps: + t = Tracer("main_perf/continuous_training") + t.start() + + # Wait for buffer + batch = await replay_buffer.sample.call_one(curr_policy_version=training_step) + if batch is None: + await asyncio.sleep(0.5) + t.stop() + continue + t.step("waiting_for_buffer") + + # Train + inputs, targets = batch + await trainer.train_step.call(inputs, targets) + training_step += 1 + t.step("train_step") + + # Update policy + await trainer.push_weights.call(training_step) + await policy.update_weights.fanout(training_step) + t.step("update_weights") + + # Clean up old weights + if training_step >= 2: + await drop_weights(training_step - 1) + + t.stop() + await mlogger.flush.call_one(training_step) + + print(f"Training complete: {max_steps} steps") +``` + +**Rationale:** Simpler control flow, no restart_tracer flag needed. Use continue for early exit. + +### 3. Remove Conditional Logging in Training Loop +The conditional print (line 1891-1894) is noise. + +**Before:** +```python +if training_step > 2 and training_step % 5 == 0: + print(f"[TRAINING] Step {training_step}: Waiting for buffer...") +``` + +**After:** (removed - metrics already track this) + +### 4. Simplify Reference Model Call in Rollout +The padding logic (lines 1795-1820) can be more concise. + +**Before:** +```python +# ============ Step 4: Compute ref_model ============ +max_len = max(len(e.all_token_ids) for e in episodes) + +# Pad input_ids and loss_masks +padded_input_ids = [] +padded_loss_masks = [] + +for i, e in enumerate(episodes): + seq_len = len(e.all_token_ids) + pad_len = max_len - seq_len + + # Pad tokens + padded_tokens = F.pad(e.all_token_ids, (0, pad_len), value=pad_id) + padded_input_ids.append(padded_tokens) + + # Pad loss_mask + padded_mask = F.pad(e.loss_mask, (0, pad_len), value=0.0) + padded_loss_masks.append(padded_mask) + +input_ids = torch.stack(padded_input_ids) +loss_mask_batch = torch.stack(padded_loss_masks) + +# Call ref_model +ref_logprobs_padded = await ref_model.forward.route( + input_ids, return_logprobs=True, loss_mask=loss_mask_batch +) + +# Unpad and assign +for i, episode in enumerate(episodes): + seq_len = len(episode.all_token_ids) + episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] +``` + +**After:** +```python +# Compute reference logprobs (pad to batch max length) +input_ids = torch.nn.utils.rnn.pad_sequence( + [e.all_token_ids for e in episodes], + batch_first=True, + padding_value=pad_id, +) +loss_mask = torch.nn.utils.rnn.pad_sequence( + [e.loss_mask for e in episodes], + batch_first=True, + padding_value=0.0, +) + +ref_logprobs_padded = await ref_model.forward.route( + input_ids, return_logprobs=True, loss_mask=loss_mask +) + +# Assign unpadded logprobs to episodes +for i, ep in enumerate(episodes): + ep.ref_logprobs = ref_logprobs_padded[i, : len(ep.all_token_ids)] +``` + +**Rationale:** Use same padding utility as collate function. More concise. + +## Impact +- **Collate function:** 49 lines → 32 lines +- **Training loop:** More readable, simpler control flow +- **Ref model call:** Cleaner, reuses utilities +- **Code size:** Additional ~40 lines removed +- **Risk:** Low - mostly simplification, no logic changes diff --git a/debug/refactoring/proposal_06_simplify_servers.md b/debug/refactoring/proposal_06_simplify_servers.md new file mode 100644 index 000000000..41cbe659f --- /dev/null +++ b/debug/refactoring/proposal_06_simplify_servers.md @@ -0,0 +1,231 @@ +# Refactoring Proposal 06: Consolidate Server Management and Cleanup + +## Overview +Building on Proposals 01-05, this iteration drastically simplifies server management, removes over-engineering, and consolidates utility functions. + +## Key Changes + +### 1. Drastically Simplify Server Startup +Current implementation (lines 1518-1584) is over-engineered with extensive health checks, retry logic, and error handling. + +**Before (~100 lines):** +```python +# Start one server per rollout thread to avoid race conditions +server_processes = [] +server_ports = [] + +for i in range(num_rollout_threads): + server_port = base_server_port + i + server_ports.append(server_port) + + # Clean up any existing server on this port + if kill_process_on_port(server_port): + print(f"Cleaned up existing server on port {server_port}") + + print(f"Starting OpenSpiel server {i} for game '{game_name}' on port {server_port}...") + server_process = multiprocessing.Process( + target=start_openspiel_server, args=(game_name, server_port) + ) + server_process.start() + server_processes.append(server_process) + +# Wait for all servers to be ready +print(f"Waiting for {num_rollout_threads} OpenSpiel servers to be ready...") +all_ready = True +for i, server_port in enumerate(server_ports): + server_ready = False + for attempt in range(30): # Try for 30 seconds per server + if not server_processes[i].is_alive(): + print(f"[ERROR] Server {i} process died unexpectedly!") + # ... error handling + all_ready = False + break + + try: + resp = requests.get( + f"http://localhost:{server_port}/health", + timeout=1, + proxies={"http": None, "https": None}, + ) + if resp.status_code == 200: + server_ready = True + print(f"✓ OpenSpiel server {i} ready on port {server_port} (took {attempt+1}s)") + break + except Exception as e: + # ... verbose error logging + time.sleep(1) + + if not server_ready: + # ... cleanup and error + raise RuntimeError(f"Failed to start all OpenSpiel servers") +``` + +**After (~30 lines):** +```python +def start_servers(num_servers: int, base_port: int, game_name: str) -> list: + """Start OpenSpiel servers for rollout workers.""" + processes = [] + + for i in range(num_servers): + port = base_port + i + + # Kill existing process if any + subprocess.run( + ["lsof", "-ti", f":{port}"], + capture_output=True, + stdout=subprocess.DEVNULL, + ) + + proc = multiprocessing.Process( + target=start_openspiel_server, + args=(game_name, port), + ) + proc.start() + processes.append(proc) + + # Simple health check with retry + time.sleep(2) # Give servers time to start + for i in range(num_servers): + port = base_port + i + for attempt in range(10): + try: + resp = requests.get(f"http://localhost:{port}/health", timeout=1) + if resp.status_code == 200: + break + except requests.RequestException: + if attempt == 9: + raise RuntimeError(f"Server on port {port} failed to start") + time.sleep(1) + + return processes + +# In main(): +server_processes = start_servers( + num_servers=num_rollout_threads, + base_port=cfg.blackjack_env.server_port, + game_name=cfg.blackjack_env.game_name, +) +``` + +**Rationale:** Remove excessive logging, simplify health checks, fail fast. If a server doesn't start in 10 seconds, something is wrong. + +### 2. Remove Server Testing Loop +The server testing loop (lines 1660-1680) duplicates the health check. + +**Before:** +```python +# ---- Test OpenSpiel servers ---- # +print("Testing OpenSpiel server connections...") +for i, server_port in enumerate(server_ports): + test_url = f"http://localhost:{server_port}" + test_env = OpenSpielEnv(base_url=test_url) + test_env._http.trust_env = False + try: + test_result = test_env.reset() + print(f"✓ Server {i} test successful (port {server_port}), ...") + test_env.close() + except Exception as e: + # ... verbose error handling + raise RuntimeError(f"OpenSpiel server {i} test failed: {e}") +``` + +**After:** (removed - health check is sufficient) + +### 3. Simplify kill_process_on_port +Current implementation (lines 66-84) is overly verbose. + +**Before:** +```python +def kill_process_on_port(port: int): + """Kill any process using the specified port.""" + result = subprocess.run( + ["lsof", "-ti", f":{port}"], + capture_output=True, + text=True, + timeout=5, + ) + if result.stdout.strip(): + pids = result.stdout.strip().split("\n") + for pid in pids: + try: + os.kill(int(pid), signal.SIGKILL) + print(f"[DEBUG] Killed existing process {pid} on port {port}") + except ProcessLookupError: + pass + time.sleep(0.5) + return True + return False +``` + +**After:** +```python +def kill_port(port: int): + """Kill any process using the specified port.""" + result = subprocess.run( + ["lsof", "-ti", f":{port}"], + capture_output=True, + text=True, + ) + for pid in result.stdout.strip().split("\n"): + if pid: + subprocess.run(["kill", "-9", pid], stderr=subprocess.DEVNULL) +``` + +**Rationale:** Simpler, no unnecessary logging, use kill command instead of os.kill. + +### 4. Move Server Functions to Separate Module (Optional) +Consider moving server-related functions to `envs/openspiel_env/server_utils.py` to keep main.py focused. + +**New file structure:** +```python +# envs/openspiel_env/server_utils.py +def start_openspiel_server(game_name: str, port: int): + """Start OpenSpiel server in background process.""" + # ... implementation + +def start_servers(num_servers: int, base_port: int, game_name: str): + """Start multiple OpenSpiel servers.""" + # ... implementation + +def shutdown_servers(processes: list): + """Shutdown OpenSpiel servers.""" + # ... implementation +``` + +**In main_v2.py:** +```python +from envs.openspiel_env.server_utils import start_servers, shutdown_servers +``` + +### 5. Simplify Server Shutdown +Current implementation (lines 1968-1977) is verbose. + +**Before:** +```python +print(f"Stopping {len(server_processes)} OpenSpiel servers...") +for i, server_process in enumerate(server_processes): + server_process.terminate() + server_process.join(timeout=2) + if server_process.is_alive(): + print(f"⚠ Server {i} didn't stop gracefully, killing...") + server_process.kill() + server_process.join(timeout=1) +print("✓ All OpenSpiel servers stopped") +``` + +**After:** +```python +# Shutdown servers +for proc in server_processes: + proc.terminate() + proc.join(timeout=2) + if proc.is_alive(): + proc.kill() +``` + +## Impact +- **Server management:** ~150 lines → ~50 lines (67% reduction) +- **Modularity:** Server logic can be extracted to separate module +- **Reliability:** Simpler code = fewer bugs +- **Startup time:** Faster (less verbose health checking) +- **Risk:** Low - simplifying overly defensive code diff --git a/debug/refactoring/proposal_07_extract_modules.md b/debug/refactoring/proposal_07_extract_modules.md new file mode 100644 index 000000000..0955ef52c --- /dev/null +++ b/debug/refactoring/proposal_07_extract_modules.md @@ -0,0 +1,225 @@ +# Refactoring Proposal 07: Extract BlackjackEnv to Separate Module + +## Overview +Building on Proposals 01-06, this iteration extracts the BlackjackEnv class and related environment code to a dedicated module, following the pattern from grpo/main.py where environment logic is separate. + +## Key Changes + +### 1. Create New Module for Blackjack Environment +Create `envs/blackjack_env/blackjack_env.py` to house all blackjack-specific logic. + +**New file structure:** +``` +envs/ +├── openspiel_env/ +│ ├── __init__.py +│ ├── server/ +│ └── ... +└── blackjack_env/ (NEW) + ├── __init__.py + └── blackjack_env.py +``` + +**In envs/blackjack_env/blackjack_env.py:** +```python +"""Blackjack environment for RL training.""" +import re +from dataclasses import dataclass, field +from typing import Any + +from envs.openspiel_env import OpenSpielAction, OpenSpielEnv +from forge.observability.metrics import record_metric, Reduce + + +@dataclass +class EnvStepResult: + """Result from environment step.""" + observation: dict[str, str] + reward: float + done: bool + + +class BlackjackEnv: + """Blackjack environment wrapper. + + Responsibilities: + - Manage game state via OpenSpielEnv + - Parse actions from text ( tags) + - Compute rewards + """ + + def __init__(self, server_url: str): + self.server_url = server_url + self.client = OpenSpielEnv(base_url=server_url) + self.client._http.trust_env = False + self.turn_count = 0 + self.has_invalid_action = False + + def reset(self) -> str: + """Reset game and return initial observation text.""" + self.turn_count = 0 + self.has_invalid_action = False + result = self.client.reset() + return self._format_obs(result.observation) + + def step(self, action_text: str) -> EnvStepResult: + """Execute action and return next observation.""" + # Parse and execute action + action = self._parse_action(action_text) + if action == "INVALID": + self.has_invalid_action = True + action = "STAND" + record_metric("game/invalid_actions", 1, Reduce.SUM) + + action_id = 0 if action == "HIT" else 1 + result = self.client.step( + OpenSpielAction(action_id=action_id, game_name="blackjack") + ) + self.turn_count += 1 + + # Compute reward + if result.done: + reward = self._compute_reward(result.reward, self.has_invalid_action) + record_metric("game/win_rate", 1 if result.reward > 0 else 0, Reduce.MEAN) + else: + reward = 0.0 + + obs = {"role": "user", "content": ""} if result.done else { + "role": "user", + "content": self._format_obs(result.observation) + } + + return EnvStepResult(observation=obs, reward=reward, done=result.done) + + def close(self): + """Clean up.""" + self.client.close() + + def _format_obs(self, obs) -> str: + """Format game state as text.""" + player = obs.metadata.get("player_total", "?") + dealer = obs.metadata.get("dealer_card", "?") + dealer = "Ace" if dealer == 1 else str(dealer) + return f"Hand: {player}, Dealer: {dealer}" + + def _parse_action(self, text: str) -> str: + """Extract action from tags. Returns HIT, STAND, or INVALID.""" + match = re.search(r"\s*(.*?)\s*", text, re.IGNORECASE | re.DOTALL) + if match: + answer = match.group(1).strip().upper() + return answer if answer in ["HIT", "STAND"] else "INVALID" + return "INVALID" + + def _compute_reward(self, env_reward: float, has_invalid: bool) -> float: + """Compute final reward with penalty for invalid actions.""" + base_reward = 3.0 if env_reward > 0 else -1.0 + penalty = -10.0 if has_invalid else 0.0 + return base_reward + penalty +``` + +**In envs/blackjack_env/__init__.py:** +```python +from .blackjack_env import BlackjackEnv, EnvStepResult + +__all__ = ["BlackjackEnv", "EnvStepResult"] +``` + +**In main_v2.py:** +```python +from envs.blackjack_env import BlackjackEnv, EnvStepResult +``` + +### 2. Extract System Prompt to Config +The system prompt (lines 1698-1720) should be in the config, not hardcoded. + +**In qwen3_1_7b.yaml:** +```yaml +blackjack_env: + game_name: "blackjack" + server_port: 8000 + max_seq_len: 2048 + max_turns: 20 + system_prompt: | + You are an expert Blackjack player. + + GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + + RULES: + - Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value + - If you go over 21, you bust and lose immediately + - The dealer plays after you and must hit until reaching 17+ + + ACTIONS: + - HIT: Take another card (increases your hand total) + - STAND: Keep your current hand and end your turn + + WIN CONDITIONS: + - Your hand is closer to 21 than the dealer's final hand + - Dealer busts (goes over 21) and you don't + - You get exactly 21 + + IMPORTANT: You MUST output your action in the following format: + HIT or STAND +``` + +**In main_v2.py:** +```python +# In continuous_rollouts(): +initial_messages = [ + {"role": "system", "content": cfg.blackjack_env.system_prompt} +] +``` + +### 3. Create Rollout Utilities Module +Extract `do_single_rollout` and `do_group_rollout` to `apps/blackjack/rollout.py`. + +**In apps/blackjack/rollout.py:** +```python +"""Rollout utilities for Blackjack GRPO training.""" +import uuid +import torch +from envs.blackjack_env import BlackjackEnv +from forge.data.token_accumulator import TokenAccumulator, ValidationMode +from forge.observability.metrics import record_metric, Reduce +from vllm import SamplingParams + + +async def do_single_rollout( + env: BlackjackEnv, + policy, + tokenizer, + max_seq_len: int, + max_turns: int, + messages: list[dict], + game_id: str | None = None, +) -> Episode: + """Play one game and return one Episode.""" + # ... (full implementation) +``` + +**In main_v2.py:** +```python +from apps.blackjack.rollout import do_single_rollout, do_group_rollout +``` + +### 4. Simplify Main File Structure +With extractions, main_v2.py should have clear sections: + +```python +# main_v2.py structure after extractions: + +# Imports +# Episode dataclass +# ComputeAdvantages actor +# Loss function +# Utility functions (drop_weights, etc.) +# Main training loop (main function) +``` + +## Impact +- **Main file:** ~900 lines → ~400 lines (55% reduction from Proposal 05) +- **Modularity:** Environment, rollout, and token accumulation are separate, testable modules +- **Reusability:** BlackjackEnv can be used in other scripts +- **Configuration:** System prompt is configurable, not hardcoded +- **Code organization:** Much clearer separation of concerns +- **Risk:** Low - pure code movement, clear module boundaries diff --git a/debug/refactoring/proposal_08_align_patterns.md b/debug/refactoring/proposal_08_align_patterns.md new file mode 100644 index 000000000..c1916abdf --- /dev/null +++ b/debug/refactoring/proposal_08_align_patterns.md @@ -0,0 +1,222 @@ +# Refactoring Proposal 08: Align with GRPO Main.py Patterns + +## Overview +Building on Proposals 01-07, this iteration aligns the code structure and patterns more closely with grpo/main.py to maintain consistency across the codebase while keeping blackjack-specific improvements. + +## Key Changes + +### 1. Add Type Aliases for Clarity +Follow grpo/main.py pattern of defining type aliases. + +**In main_v2.py:** +```python +# Type aliases (like grpo/main.py) +Group = list[Episode] # Group of episodes for GRPO +Policy = Generator # Policy model for generation + +# Then use throughout: +async def compute_advantages(group: Group) -> list[float]: + """Compute advantages for a group of episodes.""" + # ... +``` + +### 2. Align ComputeAdvantages Actor +Current implementation is nearly identical to grpo/main.py. Make it exactly the same. + +**Before:** +```python +@dataclass +class ComputeAdvantages(ForgeActor): + """Compute advantages for a group of episodes.""" + + @endpoint + async def compute(self, group: list[Episode]) -> list[float]: + """Compute advantages using reward standardization.""" + rewards = torch.tensor([[e.reward for e in group]]) + mean = rewards.mean(1, keepdim=True) + std = rewards.std(1, keepdim=True) + advantages = (rewards - mean) / (std + 1e-4) + return advantages.squeeze(0).tolist() +``` + +**After (exactly match grpo/main.py):** +```python +@dataclass +class ComputeAdvantages(ForgeActor): + @endpoint + async def compute(self, group: Group) -> list[float]: + rewards = torch.tensor([[e.reward for e in group]]) + mean = rewards.mean(1, keepdim=True) + std = rewards.std(1, keepdim=True) + advantages = (rewards - mean) / (std + 1e-4) + return advantages.squeeze(0).tolist() +``` + +### 3. Standardize Async Function Signatures +Follow grpo/main.py's clean async function signatures. + +**Before:** +```python +async def do_single_rollout( + env: BlackjackEnv, + policy, + tokenizer, + max_seq_len: int, + max_turns: int, + messages: list[dict], + game_id: str | None = None, +) -> Episode: +``` + +**After (add type hints):** +```python +async def do_single_rollout( + env: BlackjackEnv, + policy: Policy, + tokenizer: Any, + max_seq_len: int, + max_turns: int, + messages: list[dict[str, str]], + game_id: str | None = None, +) -> Episode: +``` + +### 4. Unify Service Initialization Pattern +Current code initializes services differently than grpo/main.py. Align the pattern. + +**Before:** +```python +# First, initialize env_actor to get pad_id +env_actor = await EnvironmentActor.options(**cfg.actors.blackjack_env).as_actor(**env_actor_config) +pad_id = await env_actor.pad_token.call_one() + +# Create collate function with pad_id +collate_fn = partial(collate, pad_id=pad_id) + +# Now initialize remaining services +(policy, trainer, replay_buffer, compute_advantages, ref_model) = await asyncio.gather(...) +``` + +**After (get tokenizer directly, pass to collate):** +```python +# Get tokenizer for pad_id +tokenizer = get_tokenizer(cfg.blackjack_env.model) +pad_id = tokenizer.pad_token_id or tokenizer.eos_token_id +collate_fn = partial(collate, pad_id=pad_id) + +# Initialize all services together (like grpo/main.py) +(policy, trainer, replay_buffer, compute_advantages, ref_model) = await asyncio.gather( + Generator.options(**cfg.services.policy).as_service(**cfg.policy), + TitanTrainer.options(**cfg.actors.trainer).as_actor( + **cfg.trainer, loss=simple_grpo_loss + ), + ReplayBuffer.options(**cfg.actors.replay_buffer).as_actor( + **cfg.replay_buffer, collate=collate_fn + ), + ComputeAdvantages.options(**cfg.actors.compute_advantages).as_actor(), + ReferenceModel.options(**cfg.services.ref_model).as_service(**cfg.ref_model), +) +``` + +### 5. Align Drop Weights Function +Make it exactly match grpo/main.py. + +**Current in main_v2.py (lines 1494-1507):** +```python +async def drop_weights(version: int): + """Drop old weights from torchstore.""" + print(f"Dropping weights @ version {version}") + start_time = time.perf_counter() + prefix = get_param_prefix(version) + matching_keys = await ts.keys(prefix) + dcp_key = get_dcp_whole_state_dict_key(version) + if dcp_key in matching_keys: + dcp_handle = await ts.get(dcp_key) + dcp_handle.drop() + for key in matching_keys: + await ts.delete(key) + elapsed = time.perf_counter() - start_time + print(f"Dropped weights @ version {version}, took {elapsed:.2f} seconds") +``` + +**After (exactly match grpo/main.py lines 276-290):** +```python +async def drop_weights(version: int): + print(f"Dropping weights @ version {version}") + start_time = time.perf_counter() + prefix = get_param_prefix(version) + matching_keys = await ts.keys(prefix) + # TODO: once we have something like `get_meta()` in torchstore, we can just + # query the type of the object instead of relying on keys. + dcp_key = get_dcp_whole_state_dict_key(version) + if dcp_key in matching_keys: + dcp_handle = await ts.get(dcp_key) + dcp_handle.drop() + for key in matching_keys: + await ts.delete(key) + elapsed = time.perf_counter() - start_time + print(f"Dropped weights @ version {version}, took {elapsed:.2f} seconds") +``` + +### 6. Standardize Main Function Structure +Align the main() function structure with grpo/main.py. + +**Structure:** +```python +async def main(cfg: DictConfig): + """Main GRPO training loop with rollout and training processes.""" + + # ---- Extract config values ---- # + group_size = cfg.group_size + max_seq_len = cfg.blackjack_env.max_seq_len + max_turns = cfg.blackjack_env.max_turns + max_steps = cfg.trainer.training.steps or -1 + + # ---- Start environment servers ---- # + server_processes = start_servers(...) + + # ---- Global setups ---- # + provisioner = ... + mlogger = ... + + # ---- Setup services ---- # + tokenizer = get_tokenizer(cfg.blackjack_env.model) + pad_id = ... + (policy, trainer, replay_buffer, ...) = await asyncio.gather(...) + + # ---- Initialize torchstore ---- # + await ts.initialize(...) + + # ---- Warmup policy ---- # + # ... + + # ---- Core RL loops ---- # + async def continuous_rollouts(thread_id: int): + # ... + + async def continuous_training(): + # ... + + # ---- Run training ---- # + rollout_tasks = [...] + training_task = ... + + try: + await training_task + except KeyboardInterrupt: + # ... + finally: + # ... cleanup +``` + +### 7. Remove Multi-Threading Support (Simplify) +The original grpo/main.py has `rollout_threads` but simpler implementation. Blackjack has one thread per server which is over-engineered for a simple game. + +**Consideration:** For Blackjack, we could simplify to single rollout thread, or keep multiple but document why (parallel game collection). + +## Impact +- **Consistency:** Code patterns match grpo/main.py closely +- **Maintainability:** Easier to understand for developers familiar with grpo/main.py +- **Type safety:** Better type hints throughout +- **Service init:** Cleaner, no EnvironmentActor hack +- **Risk:** Low - mostly alignment, few logic changes diff --git a/debug/refactoring/proposal_09_polish.md b/debug/refactoring/proposal_09_polish.md new file mode 100644 index 000000000..cfd673e3e --- /dev/null +++ b/debug/refactoring/proposal_09_polish.md @@ -0,0 +1,297 @@ +# Refactoring Proposal 09: Polish and Documentation + +## Overview +Building on Proposals 01-08, this iteration focuses on polishing the code with better comments, consistent formatting, and removing any remaining cruft. This is the "final touches" pass. + +## Key Changes + +### 1. Add Clear Section Headers +Like grpo/main.py, use clear section separators. + +**Example:** +```python +# main_v2.py after refactoring + +# Copyright header... + +# Usage: python -m apps.blackjack.main_v2 --config apps/blackjack/qwen3_1_7b.yaml + +import asyncio +# ... imports + +# ============================================================================ +# Data Models +# ============================================================================ + +@dataclass +class Episode: + """Single episode for GRPO training.""" + # ... + +# Type aliases +Group = list[Episode] +Policy = Generator + +# ============================================================================ +# Helper Actors +# ============================================================================ + +@dataclass +class ComputeAdvantages(ForgeActor): + # ... + +# ============================================================================ +# Training Functions +# ============================================================================ + +def collate(batches: list[Group], pad_id: int) -> tuple[...]: + """Collate episode batches into model inputs and targets.""" + # ... + +def simple_grpo_loss(...) -> torch.Tensor: + """GRPO loss with next-token prediction and KL penalty.""" + # ... + +async def drop_weights(version: int): + """Drop old model weights from torchstore.""" + # ... + +# ============================================================================ +# Main Training Loop +# ============================================================================ + +async def main(cfg: DictConfig): + """Main GRPO training loop with rollout and training processes.""" + # ... + +if __name__ == "__main__": + @parse + def _main(cfg): + asyncio.run(main(cfg)) + + _main() +``` + +### 2. Improve Function Docstrings +Follow NumPy/Google docstring style consistently. + +**Before:** +```python +def collate( + batches: list[list[Episode]], + pad_id: int, +) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: + """Collates a list of batches (groups) into inputs and targets.""" +``` + +**After:** +```python +def collate( + batches: list[Group], + pad_id: int, +) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: + """Collate episode batches into model inputs and targets. + + Args: + batches: List of groups, where each group is a list of Episodes + pad_id: Padding token ID from tokenizer + + Returns: + Tuple of (inputs, targets) for training where: + - inputs: List of dicts with 'tokens' key [batch_size, seq_len] + - targets: List of dicts with 'input_ids', 'loss_mask', 'ref_logprobs', 'advantages' + """ +``` + +### 3. Add Inline Comments for Complex Logic +Clarify non-obvious operations. + +**Example in simple_grpo_loss:** +```python +def simple_grpo_loss( + logits: torch.Tensor, + input_ids: torch.Tensor, + loss_mask: torch.Tensor, + ref_logprobs: torch.Tensor, + advantages: torch.Tensor, + beta: float = 0.1, +) -> torch.Tensor: + """GRPO loss with next-token prediction and KL penalty. + + Implements Group Relative Policy Optimization (GRPO) loss: + L = -E[(π/π_old) * A - β * KL(π || π_ref)] + + Args: + logits: Model logits [batch_size, seq_len, vocab_size] + input_ids: Input token IDs [batch_size, seq_len] + loss_mask: Loss mask [batch_size, seq_len], 1.0 for trainable positions + ref_logprobs: Reference model log probabilities [batch_size, seq_len] + advantages: Advantages [batch_size, 1] + beta: KL penalty coefficient (default: 0.1) + + Returns: + Scalar loss value + """ + # Create targets by shifting input_ids for next-token prediction + targets = create_shifted_targets(input_ids, loss_mask) + + # Compute policy log probabilities (masked positions are 0.0) + logprobs = compute_logprobs(logits, targets, ignore_index=CROSS_ENTROPY_IGNORE_IDX) + + # KL divergence with numerical stability clipping (following VERL implementation) + logprob_diff = torch.clamp(ref_logprobs - logprobs, min=-20.0, max=20.0) + kl = torch.clamp(torch.exp(logprob_diff) - logprob_diff - 1, min=-10.0, max=10.0) + + # Policy gradient term + policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages + + # Combined loss (negative because we want to maximize) + per_token_loss = -(policy_loss - beta * kl) + + # Per-sequence normalization: average by each sequence's trainable token count + loss = ( + (per_token_loss * loss_mask).sum(dim=1) / loss_mask.sum(dim=1).clamp(min=1.0) + ).mean() + + # Essential metrics + record_metric("loss/value", loss.item(), Reduce.MEAN) + record_metric("loss/kl_mean", (kl * loss_mask).sum() / loss_mask.sum(), Reduce.MEAN) + record_metric("loss/advantages_mean", advantages.mean().item(), Reduce.MEAN) + + return loss +``` + +### 4. Clean Up Imports +Remove unused imports, organize by category. + +**Before:** +```python +import asyncio +import multiprocessing +import os +import signal +import subprocess +import threading +import time +import uuid +from dataclasses import dataclass, field +from enum import Enum +from functools import lru_cache, partial +from typing import Any, Optional + +import requests + +import torch +import torch.nn.functional as F +import torchstore as ts +# ... many more +``` + +**After:** +```python +# Standard library +import asyncio +import multiprocessing +import subprocess +import time +import uuid +from dataclasses import dataclass +from functools import partial +from typing import Any + +# Third-party +import requests +import torch +import torch.nn.functional as F +import torchstore as ts +from omegaconf import DictConfig +from vllm import SamplingParams +from vllm.transformers_utils.tokenizer import get_tokenizer + +# Forge imports +from forge.actors._torchstore_utils import get_dcp_whole_state_dict_key, get_param_prefix +from forge.actors.generator import Generator +from forge.actors.reference_model import ReferenceModel +from forge.actors.replay_buffer import ReplayBuffer +from forge.actors.trainer import TitanTrainer +from forge.controller.actor import ForgeActor +from forge.controller.provisioner import init_provisioner, shutdown +from forge.data.common import CROSS_ENTROPY_IGNORE_IDX +from forge.observability.metric_actors import get_or_create_metric_logger +from forge.observability.metrics import record_metric, Reduce +from forge.observability.perf_tracker import Tracer +from forge.types import LauncherConfig, ProvisionerConfig +from forge.util.config import parse +from forge.util.ops import compute_logprobs, create_shifted_targets + +# Local imports +from apps.blackjack.rollout import do_single_rollout +from envs.blackjack_env import BlackjackEnv +from envs.openspiel_env.server_utils import start_servers +``` + +### 5. Standardize Metric Names +Use consistent naming convention for all metrics. + +**Prefix conventions:** +- `loss/*` - Loss-related metrics +- `episode/*` - Episode-level metrics +- `buffer/*` - Replay buffer metrics +- `game/*` - Game environment metrics +- `main/*` - Main loop performance metrics + +**Example:** +```python +# Instead of inconsistent naming: +record_metric("groups/rate_dropped", ...) +record_metric("buffer/episodes_accepted", ...) +record_metric("main/continuous_rollouts/count_rollout_iterations", ...) + +# Use consistent naming: +record_metric("rollout/groups_dropped", ..., Reduce.SUM) +record_metric("buffer/episodes_accepted", ..., Reduce.SUM) +record_metric("rollout/iterations", ..., Reduce.SUM) +``` + +### 6. Add Type Hints Throughout +Ensure all functions have complete type hints. + +**Example:** +```python +def start_servers( + num_servers: int, + base_port: int, + game_name: str, +) -> list[multiprocessing.Process]: + """Start OpenSpiel servers for rollout workers.""" + # ... +``` + +### 7. Remove Redundant Comments +Remove obvious comments, keep insightful ones. + +**Before:** +```python +# Initialize TokenAccumulator with BASE anchor pattern +accumulator = TokenAccumulator(...) + +# Reset environment +initial_obs = env.reset() + +# Multi-turn loop +final_reward = 0.0 +``` + +**After:** +```python +accumulator = TokenAccumulator(...) +initial_obs = env.reset() +final_reward = 0.0 +``` + +## Impact +- **Readability:** Much improved with clear sections and good documentation +- **Maintainability:** Easier to understand and modify +- **Professionalism:** Code looks polished and production-ready +- **Onboarding:** New developers can understand the code faster +- **Risk:** Zero - only documentation and formatting changes diff --git a/debug/refactoring/proposal_10_production.md b/debug/refactoring/proposal_10_production.md new file mode 100644 index 000000000..d514d31b8 --- /dev/null +++ b/debug/refactoring/proposal_10_production.md @@ -0,0 +1,273 @@ +# Refactoring Proposal 10: Performance and Production Readiness + +## Overview +This final proposal focuses on optimizations, configurability, and making the code production-ready. We add toggles for debug features and ensure the code can run efficiently in production. + +## Key Changes + +### 1. Add Debug Mode Configuration +Add a `debug` section to config to control verbose logging and debug features. + +**In qwen3_1_7b.yaml:** +```yaml +debug: + enabled: false # Master switch for debug features + print_episodes: false # Print episode details during rollout + save_message_logs: false # Save message logs in episodes + validate_tokens: false # Run token validation in accumulator + emergency_dumps: false # Save tensors on anomalous loss values + rollout_interval: 100 # Print rollout summary every N rollouts +``` + +**In main_v2.py:** +```python +async def continuous_rollouts(thread_id: int, tokenizer, debug_cfg): + """Main rollout loop.""" + # ... + + while not shutdown_event.is_set(): + # ... rollout logic + + # Conditional debug output + if debug_cfg.enabled and rollout_count % debug_cfg.rollout_interval == 0: + ep = episodes[0] + print(f"[ROLLOUT {rollout_count}] Reward: {ep.reward:.2f}, " + f"Tokens: {len(ep.all_token_ids)}") + + if debug_cfg.print_episodes: + # Verbose episode printing + # ... +``` + +### 2. Make TokenAccumulator Validation Configurable +Use config to control validation mode. + +**In config:** +```yaml +blackjack_env: + token_validation: "off" # "strict", "warn", or "off" +``` + +**In rollout code:** +```python +from forge.data.token_accumulator import ValidationMode + +# Map string to enum +validation_map = { + "strict": ValidationMode.STRICT, + "warn": ValidationMode.WARN, + "off": ValidationMode.OFF, +} +validation_mode = validation_map[cfg.blackjack_env.token_validation] + +accumulator = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_len=max_seq_len, + eos_id=tokenizer.eos_token_id, + validation=validation_mode, + thinking=False, +) +``` + +### 3. Make Message Logging Optional +Message logs are only needed for debugging. Make them optional to save memory. + +**In Episode creation:** +```python +return Episode( + episode_id=game_id, + all_token_ids=episode_data.token_ids, + loss_mask=loss_mask, + reward=final_reward, + # ... other fields + message_log=accumulator.messages.copy() if cfg.debug.save_message_logs else None, +) +``` + +### 4. Add Emergency Dump Toggle +The emergency dump feature (lines 1432-1489) should be configurable. + +**In simple_grpo_loss:** +```python +def simple_grpo_loss( + logits: torch.Tensor, + input_ids: torch.Tensor, + loss_mask: torch.Tensor, + ref_logprobs: torch.Tensor, + advantages: torch.Tensor, + beta: float = 0.1, + emergency_dumps: bool = False, # NEW parameter +) -> torch.Tensor: + """GRPO loss with next-token prediction and KL penalty.""" + # ... loss computation + + # Essential metrics + record_metric("loss/value", loss.item(), Reduce.MEAN) + record_metric("loss/kl_mean", (kl * loss_mask).sum() / loss_mask.sum(), Reduce.MEAN) + record_metric("loss/advantages_mean", advantages.mean().item(), Reduce.MEAN) + + # Emergency dump (only if enabled) + if emergency_dumps and abs(loss.item()) > 1000.0: + import datetime + timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S") + dump_file = f"/tmp/grpo_loss_debug_{timestamp}.pt" + torch.save({ + "logits": logits.cpu(), + "input_ids": input_ids.cpu(), + "loss_mask": loss_mask.cpu(), + "logprobs": logprobs.cpu(), + "ref_logprobs": ref_logprobs.cpu(), + "advantages": advantages.cpu(), + "kl": kl.cpu(), + "loss": loss.cpu(), + "beta": beta, + }, dump_file) + print(f"⚠️ HUGE LOSS DETECTED: {loss.item():.2f}") + print(f"Dumped tensors to: {dump_file}") + + return loss +``` + +**When creating trainer:** +```python +from functools import partial + +loss_fn = partial(simple_grpo_loss, emergency_dumps=cfg.debug.emergency_dumps) + +trainer = await TitanTrainer.options(**cfg.actors.trainer).as_actor( + **cfg.trainer, loss=loss_fn +) +``` + +### 5. Add Warmup Configuration +Make policy warmup configurable. + +**In config:** +```yaml +policy: + warmup_enabled: true + warmup_timeout: 120.0 + warmup_prompt: "Test prompt to warm up the model." +``` + +**In main:** +```python +# Warmup policy (configurable) +if cfg.policy.get("warmup_enabled", True): + print("Warming up policy with test generation...") + try: + test_response = await asyncio.wait_for( + policy.generate.route(cfg.policy.warmup_prompt), + timeout=cfg.policy.get("warmup_timeout", 120.0), + ) + print(f"✓ Policy ready") + except asyncio.TimeoutError: + raise RuntimeError("Policy warmup timed out") +``` + +### 6. Optimize Metric Recording +Group metrics into batches to reduce overhead. + +**Before:** +```python +record_metric("loss/value", loss.item(), Reduce.MEAN) +record_metric("loss/kl_mean", kl_mean, Reduce.MEAN) +record_metric("loss/advantages_mean", adv_mean, Reduce.MEAN) +``` + +**After (use context manager if available):** +```python +# Record all metrics at once +metrics = { + "loss/value": (loss.item(), Reduce.MEAN), + "loss/kl_mean": (kl_mean, Reduce.MEAN), + "loss/advantages_mean": (adv_mean, Reduce.MEAN), +} +for name, (value, reduce_op) in metrics.items(): + record_metric(name, value, reduce_op) +``` + +### 7. Add Graceful Degradation for Server Failures +Handle server failures more gracefully during long training runs. + +**In continuous_rollouts:** +```python +async def continuous_rollouts(thread_id: int, tokenizer, server_url: str): + """Main rollout loop with retry logic.""" + max_retries = 3 + + while not shutdown_event.is_set(): + try: + # ... rollout logic + except requests.RequestException as e: + # Server connection failed, retry + print(f"[Thread {thread_id}] Server error: {e}, retrying...") + await asyncio.sleep(5) + continue + except Exception as e: + # Unexpected error + print(f"[Thread {thread_id}] Unexpected error: {e}") + if cfg.debug.enabled: + import traceback + traceback.print_exc() + await asyncio.sleep(1) +``` + +### 8. Add Configuration Validation +Validate config at startup to catch errors early. + +**In main, before service initialization:** +```python +def validate_config(cfg: DictConfig): + """Validate configuration before training starts.""" + assert cfg.group_size > 1, "group_size must be > 1 for GRPO" + assert cfg.blackjack_env.max_seq_len > 0, "max_seq_len must be positive" + assert cfg.blackjack_env.max_turns > 0, "max_turns must be positive" + assert cfg.rollout_threads > 0, "rollout_threads must be positive" + + # Check beta value + beta = cfg.trainer.get("beta", 0.1) + if beta < 0 or beta > 1: + print(f"Warning: beta={beta} is unusual (typically 0.01-0.1)") + +async def main(cfg: DictConfig): + """Main GRPO training loop.""" + validate_config(cfg) + # ... rest of main +``` + +### 9. Add Checkpoint Saving Trigger +Add option to save checkpoints at intervals. + +**In config:** +```yaml +trainer: + checkpoint_interval: 100 # Save checkpoint every N steps + checkpoint_dir: "./checkpoints" +``` + +**In continuous_training:** +```python +if training_step % cfg.trainer.checkpoint_interval == 0: + # Trigger checkpoint save + # (Implementation depends on TitanTrainer interface) + print(f"Checkpoint saved at step {training_step}") +``` + +## Impact +- **Production readiness:** Code can run efficiently without debug overhead +- **Configurability:** All debug/production features are configurable +- **Performance:** Reduced overhead when debug features are disabled +- **Reliability:** Graceful error handling and validation +- **Memory:** Optional message logs save significant memory in production +- **Risk:** Low - mostly adding configuration flags, not changing core logic + +## Summary +After all 10 proposals, the code will be: +- **~60% smaller** (1987 lines → ~400 lines in main_v2.py) +- **Modular** (separate modules for env, rollout, token accumulator) +- **Clean** (no dead code, minimal debug noise) +- **Aligned** (matches grpo/main.py patterns) +- **Production-ready** (configurable debug features, validation, error handling) +- **Well-documented** (clear sections, docstrings, type hints) diff --git a/debug/remaining_budget_analysis.md b/debug/remaining_budget_analysis.md deleted file mode 100644 index 134218475..000000000 --- a/debug/remaining_budget_analysis.md +++ /dev/null @@ -1,235 +0,0 @@ -# Why get_remaining_budget() Can Be >0 After Truncation - -**Date:** 2025-01-17 -**Issue:** After truncation, `get_remaining_budget()` may return a value >0, which seems counterintuitive. - ---- - -## The Root Cause: Assistant Overhead in Budget Calculation - -### How `get_remaining_budget()` Works - -```python -def get_remaining_budget(self) -> int: - current_with_overhead = len(self.all_tokens) + self.assistant_overhead - return max(0, self.max_seq_len - current_with_overhead) -``` - -**Key insight:** It reserves `assistant_overhead` tokens for the next assistant response. - -So the budget is: -``` -remaining_budget = max_seq_len - len(all_tokens) - assistant_overhead -``` - ---- - -## Scenario 1: User Message Truncation - -### Example -```python -max_seq_len = 100 -all_tokens = 90 # Current state -assistant_overhead = 6 # From BASE anchor calculation -user_message_tokens = 20 # User wants to add this many - -# In add_user_message(): -budget = max_seq_len - len(all_tokens) = 100 - 90 = 10 -new_amount = len(user_message_tokens) + assistant_overhead = 20 + 6 = 26 - -if new_amount > budget: # 26 > 10, truncate! - available = budget - assistant_overhead = 10 - 6 = 4 - user_message_tokens = user_message_tokens[:4] # Truncate to 4 tokens - -# After adding: -all_tokens = 90 + 4 = 94 - -# get_remaining_budget(): -remaining = max_seq_len - all_tokens - assistant_overhead - = 100 - 94 - 6 - = 0 -``` - -**Result:** Budget is 0 ✓ - ---- - -## Scenario 2: Initial Messages Too Long - -### Example -```python -max_seq_len = 50 -initial_tokens = 300 # Way too long! -assistant_overhead = 6 - -# In __init__(): -if len(initial_tokens) > max_seq_len: # 300 > 50, truncate! - initial_tokens = initial_tokens[:max_seq_len] # Truncate to 50 - -# After init: -all_tokens = 50 - -# get_remaining_budget(): -remaining = max_seq_len - all_tokens - assistant_overhead - = 50 - 50 - 6 - = max(0, -6) - = 0 -``` - -**Wait, this could be 0 OR slightly positive!** - -If `assistant_overhead` is computed from BASE anchor and the tokenizer produces slightly different results, the overhead might vary. - -**More likely scenario:** -```python -max_seq_len = 50 -initial_tokens = 48 # Fits, but leaves very little room -assistant_overhead = 6 - -# After init: -all_tokens = 48 - -# get_remaining_budget(): -remaining = 50 - 48 - 6 = max(0, -4) = 0 -``` - -But if: -```python -max_seq_len = 60 -initial_tokens = 55 # Truncated to 55 -assistant_overhead = 4 # Smaller overhead - -# After init: -all_tokens = 55 - -# get_remaining_budget(): -remaining = 60 - 55 - 4 = 1 # ✓ Positive! -``` - ---- - -## Why This Can Happen - -### Reason 1: Exact Truncation Point - -When we truncate, we do: -```python -available = budget - assistant_overhead -user_message_tokens = user_message_tokens[:available] -``` - -If `available` leaves a tiny gap, budget can be >0: - -```python -max_seq_len = 100 -all_tokens = 85 -assistant_overhead = 10 -user needs 30 tokens - -budget = 100 - 85 = 15 -available = 15 - 10 = 5 -# Add 5 tokens - -all_tokens = 90 -remaining_budget = 100 - 90 - 10 = 0 # Exactly 0 -``` - -But if overhead calculation is slightly off or tokenizer produces different results: -```python -# Same setup, but overhead computed as 8 instead of 10 -all_tokens = 90 -remaining_budget = 100 - 90 - 8 = 2 # Positive! -``` - -### Reason 2: Tokenizer Variability - -The `assistant_overhead` is computed once in `__init__` using BASE anchor: -```python -base_with_gen = tokenizer.apply_chat_template( - [system, {"role": "user", "content": ""}], - add_generation_prompt=True, -) -base_wo_gen = tokenizer.apply_chat_template( - [system, {"role": "user", "content": ""}], - add_generation_prompt=False, -) -assistant_overhead = len(base_with_gen) - len(base_wo_gen) -``` - -But when actually adding messages, the tokenizer might produce slightly different token counts due to: -- Chat template state -- Internal caching -- Whitespace handling - -This can lead to a mismatch where the actual overhead differs from the pre-computed value. - ---- - -## Is This a Bug? - -**No, it's expected behavior!** - -The remaining budget being >0 after truncation is fine because: - -1. **Safety margin:** It's better to have a tiny bit of unused budget than to overflow -2. **Assistant overhead is an estimate:** The actual number of tokens needed for the next assistant response might vary -3. **Truncation still works:** The key property is `len(all_tokens) <= max_seq_len`, which is always preserved - ---- - -## What the Tests Show - -After adding `get_remaining_budget()` prints to all truncation tests, we should see: - -**Test 2 (truncated assistant):** -- Budget: High (assistant wasn't added) -- Result: Normal behavior ✓ - -**Test 4 (truncated user):** -- Budget: 0 or small positive (user truncated to fit) -- Result: Normal if small ✓ - -**Test 5 (initial messages too long):** -- Budget: Could be 0 or small positive -- Result: Normal if `<= assistant_overhead` ✓ - -**Test 6 (zero budget user):** -- Budget: ~0 (might be slightly negative → max(0, ...) = 0) -- Result: Normal ✓ - -**Test 7 (zero budget assistant):** -- Budget: ~0 or small positive -- Result: Normal ✓ - ---- - -## When to Worry - -**You should worry if:** -- `remaining_budget > assistant_overhead` after truncation (too much space left) -- `len(all_tokens) > max_seq_len` (budget overflow - THIS IS A BUG!) -- `remaining_budget` is large (>20 tokens) after truncation (inefficient truncation) - -**You should NOT worry if:** -- `remaining_budget` is 0-10 tokens after truncation (normal safety margin) -- `remaining_budget` varies slightly across runs (tokenizer variability) - ---- - -## Summary - -**Expected behavior:** -- After user message truncation: `0 <= remaining_budget <= assistant_overhead` -- After initial message truncation: `0 <= remaining_budget <= assistant_overhead` -- After assistant truncation: Budget unchanged (assistant not added) - -**Key invariant (MUST ALWAYS HOLD):** -```python -len(all_tokens) <= max_seq_len # Never exceed! -``` - -As long as this holds, having a small positive remaining budget is fine and expected. - ---- - -**End of Document** diff --git a/debug/response_mask_usage_analysis.md b/debug/response_mask_usage_analysis.md new file mode 100644 index 000000000..6e9ddcf8f --- /dev/null +++ b/debug/response_mask_usage_analysis.md @@ -0,0 +1,535 @@ +# response_mask vs loss_mask: Final Design (torch.roll approach) + +Based on exploration of VERL, TRL, Prime-RL, and first-principles analysis. + +--- + +## TL;DR: The Final Design + +**No frameworks keep `targets` - it's pointless! Just `torch.roll(input_ids, -1)` at loss time.** + +### Episode Fields: +```python +@dataclass +class Episode: + all_token_ids: torch.Tensor # [seq_len] - All conversation tokens + response_mask: torch.Tensor # [seq_len] bool - Which tokens ARE responses + loss_mask: torch.Tensor # [seq_len] float - Which POSITIONS contribute to loss (0.0/1.0) + reward: float + # ... other fields ... +``` + +### Key Insight: +- `response_mask[i] = True` means token i IS a response token +- `loss_mask[i] = 1.0` means position i contributes to loss (predicts token i+1) +- **loss_mask is just response_mask shifted by 1!** + +--- + +## Part 1: loss_mask = response_mask Shifted by 1 + +### Simple Truth + +```python +# In do_single_rollout: +loss_mask_tensor = torch.roll(response_mask_tensor, shifts=-1, dims=0).float() +loss_mask_tensor[-1] = 0.0 # Last position should not train +``` + +**That's it!** No need for complex `finalize()` logic. + +### Why the EOS check is redundant + +You might think: "What if position i is EOS but position i+1 is a response?" + +**This can't happen in your code!** Because: +1. `add_assistant_response` only succeeds if response ends with EOS +2. After EOS, next message is ALWAYS user (response_mask=False) or end of sequence +3. So: `tokens[i] == EOS` → `response_mask[i+1] == False` (always!) + +**Therefore:** The EOS check in `finalize()` is redundant. Simple shift is sufficient. + +--- + +## Part 2: Utility Function for Target Creation + +Since we create targets in multiple places (loss function, ref model), use a utility: + +```python +def create_shifted_targets( + input_ids: torch.Tensor, + loss_mask: torch.Tensor | None = None, + ignore_index: int = CROSS_ENTROPY_IGNORE_IDX, +) -> torch.Tensor: + """ + Create next-token prediction targets using torch.roll. + Maintains same shape as input_ids. + + Args: + input_ids: [batch, seq_len] or [seq_len] - Input token IDs + loss_mask: [batch, seq_len] or [seq_len] - Trainable positions (bool or float) + If None, all positions are trainable + ignore_index: Value for masked positions (default: -100) + + Returns: + targets: Same shape as input_ids + targets[i] = input_ids[i+1] where trainable, else ignore_index + """ + # If no loss_mask provided, all positions trainable + if loss_mask is None: + loss_mask = torch.ones_like(input_ids, dtype=torch.float) + + if input_ids.dim() == 1: + # 1D case + targets = torch.roll(input_ids, shifts=-1, dims=0) + targets[-1] = ignore_index # Last position wraps, mask it + + # Apply loss_mask + targets = torch.where( + loss_mask.bool(), + targets, + torch.full_like(targets, ignore_index) + ) + else: + # 2D case (batched) + targets = torch.roll(input_ids, shifts=-1, dims=-1) + targets[:, -1] = ignore_index # Last position wraps, mask it + + # Apply loss_mask + targets = torch.where( + loss_mask.bool(), + targets, + torch.full_like(targets, ignore_index) + ) + + return targets +``` + +**Key benefit:** Positions with `target=ignore_index` get **automatic 0.0 logprob** from cross_entropy, no need to multiply by mask afterward! + +--- + +## Part 3: Update compute_logprobs + +Update `compute_logprobs` to take `targets` instead of `input_ids` and remove `align` parameter: + +```python +# In src/forge/util/ops.py + +def compute_logprobs( + logits: torch.Tensor, + targets: torch.Tensor, + temperature: float = 1.0, + ignore_index: int = CROSS_ENTROPY_IGNORE_IDX, +) -> torch.Tensor: + """ + Computes the log probabilities of target tokens given the model logits. + + Args: + logits: Model logits [batch, seq_len, vocab] + targets: Target token IDs [batch, seq_len] + temperature: Temperature for scaling + ignore_index: Positions with this value in targets are masked (get 0.0 logprob) + + Returns: + logprobs: [batch, seq_len] - Positions with ignore_index automatically get 0.0 + """ + scaled_logits = logits / temperature + scaled_logits_fp32 = scaled_logits.float() + + batch_size, seq_len, vocab_size = scaled_logits_fp32.shape + logprobs = -F.cross_entropy( + scaled_logits_fp32.reshape(-1, vocab_size), + targets.reshape(-1).long(), + reduction="none", + ignore_index=ignore_index, + ) + + return logprobs.reshape(batch_size, seq_len) +``` + +--- + +## Part 4: Loss Function with torch.roll + +### Updated simple_grpo_loss: + +```python +def simple_grpo_loss( + logits: torch.Tensor, # [b, seq_len, vocab] + input_ids: torch.Tensor, # [b, seq_len] + loss_mask: torch.Tensor, # [b, seq_len] - 0.0/1.0 float + ref_logprobs: torch.Tensor, + advantages: torch.Tensor, + beta: float = 0.1, +) -> torch.Tensor: + """ + GRPO loss with proper next-token prediction using torch.roll. + + Per-sequence normalization: Each sequence's loss is averaged by its own + trainable token count, then averaged across the batch. + + Args: + logits: Model logits [b, seq_len, vocab] + input_ids: Input token IDs [b, seq_len] + loss_mask: Loss mask [b, seq_len] - 1.0 for trainable positions + ref_logprobs: Reference logprobs [b, seq_len] + advantages: Advantages [b, 1] + beta: KL penalty + """ + # Create targets using utility function + targets = create_shifted_targets(input_ids, loss_mask) # [b, seq_len] + + # Compute policy logprobs (ignore_index automatically zeros masked positions) + logprobs = compute_logprobs( + logits, + targets, + ignore_index=CROSS_ENTROPY_IGNORE_IDX + ) # [b, seq_len] - masked positions already 0.0! + + # Note: ref_logprobs were computed the same way, so also have 0.0 at masked positions + + # KL divergence (masked positions are 0.0, so they don't contribute) + kl = torch.exp(ref_logprobs - logprobs) - (ref_logprobs - logprobs) - 1 + + # Policy loss + per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages + per_token_loss = -(per_token_policy_loss - beta * kl) # [b, seq_len] + + # Per-sequence normalization, then batch average + # .sum(dim=1) creates [b] where each element is sum for ONE sequence + # Each sequence averaged by its own trainable count + loss = ( + (per_token_loss * loss_mask).sum(dim=1) / loss_mask.sum(dim=1).clamp(min=1.0) + ).mean() # [b] → scalar + + return loss +``` + +**Important:** The loss computation IS per-sequence! +```python +per_token_loss = [batch, seq_len] # e.g., [8, 100] + +(per_token_loss * loss_mask).sum(dim=1) # → [8] (one value per sequence) +loss_mask.sum(dim=1) # → [8] (trainable count per sequence) +division # → [8] (average loss per sequence) +.mean() # → scalar (average across batch) +``` + +Each sequence contributes equally, regardless of length! + +--- + +## Part 5: Reference Model with torch.roll + +### Updated ReferenceModel.forward: + +```python +# In src/forge/actors/reference_model.py + +@endpoint +async def forward( + self, + input_ids: torch.Tensor, # [b, seq_len] + return_logprobs: bool, + loss_mask: torch.Tensor = None, # [b, seq_len] optional +) -> torch.Tensor: + """ + Args: + input_ids: Input token ids + return_logprobs: Whether to return logprobs + loss_mask: Optional mask for which positions to compute logprobs + """ + # Record metrics + record_metric("reference_perf/forward/count_forward_passes", 1, Reduce.SUM) + record_metric("reference_perf/forward/avg_sequence_length", input_ids.shape[1], Reduce.MEAN) + + t = Tracer("reference_perf/forward", timer="gpu", track_memory=True) + t.start() + self.engine.gc_handler.run(self.step) + t.step("garbage_collection") + + # Forward pass + model_parts = self.engine.model_parts + parallel_dims = self.engine.parallel_dims + input_ids = input_ids.to("cuda") + t.step("to_device") + + optional_context_parallel_ctx = None + + if self.engine.parallel_dims.pp_enabled: + raise NotImplementedError("PP not implemented yet") + else: + with self.engine.train_context(optional_context_parallel_ctx): + with self.engine.maybe_enable_amp: + with torch.inference_mode(): + logits = self.model(input_ids) + + self.step += 1 + if isinstance(logits, DTensor): + logits = logits.full_tensor() + t.step("forward") + + if not return_logprobs: + t.stop() + return logits + else: + # Create targets using utility function (loss_mask=None means all trainable) + targets = create_shifted_targets(input_ids, loss_mask) + + # Compute logprobs using updated compute_logprobs + logprobs = compute_logprobs( + logits, + targets, + ignore_index=CROSS_ENTROPY_IGNORE_IDX + ) + + t.step("compute_logprobs") + t.stop() + return logprobs +``` + +--- + +## Part 6: Update Episode and Collate + +### Episode Dataclass (UNCHANGED): + +```python +@dataclass +class Episode: + """Episode data for GRPO training.""" + + episode_id: str + all_token_ids: torch.Tensor # [seq_len] - All conversation tokens + response_mask: torch.Tensor # [seq_len] bool - Which tokens ARE responses + loss_mask: torch.Tensor # [seq_len] float - Which POSITIONS train (0.0/1.0) + reward: float + + # Optional fields + task_name: str = "blackjack" + policy_version: int = 0 + is_truncated: bool = False + advantage: float | None = None + logprobs: torch.Tensor | None = None # [seq_len] + ref_logprobs: torch.Tensor | None = None # [seq_len] + metadata: dict[str, Any] = field(default_factory=dict) + message_log: list[dict[str, str]] | None = None +``` + +### Collate Function (use loss_mask): + +```python +def collate( + batches: list[list[Episode]], + pad_id: int, +) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: + inputs = [] + targets_list = [] + + for batch in batches: + # Stack tokens + all_tokens = [e.all_token_ids for e in batch] + all_tokens = torch.nn.utils.rnn.pad_sequence( + all_tokens, batch_first=True, padding_value=pad_id + ) + + # Stack loss_mask + loss_masks = [e.loss_mask for e in batch] + loss_masks = torch.nn.utils.rnn.pad_sequence( + loss_masks, batch_first=True, padding_value=0.0 + ) + + # Stack ref_logprobs + ref_logprobs = [e.ref_logprobs for e in batch] + ref_logprobs = torch.nn.utils.rnn.pad_sequence( + ref_logprobs, batch_first=True, padding_value=0.0 + ) + + advantages = torch.tensor([e.advantage for e in batch]).unsqueeze(-1) + + # Create input and target dicts + input = {"tokens": all_tokens} + target = { + "input_ids": all_tokens, # For torch.roll in loss + "loss_mask": loss_masks, # Trainable positions + "ref_logprobs": ref_logprobs, + "advantages": advantages, + } + + inputs.append(input) + targets_list.append(target) + + return inputs, targets_list +``` + +--- + +## Part 7: Changes to do_single_rollout + +### REMOVE create_next_token_targets, ADD simple shift: + +```python +async def do_single_rollout( + env: BlackjackEnv, + policy, + tokenizer, + max_seq_len: int, + max_turns: int, + messages: list[dict], + game_id: str | None = None, +) -> Episode: + # ... existing rollout logic ... + + # At the end, convert to tensors: + all_tokens_tensor = torch.tensor( + accumulator.accumulated_tokens, dtype=torch.long + ) + response_mask_tensor = torch.tensor( + accumulator.response_mask, dtype=torch.bool + ) + + # CREATE loss_mask by shifting response_mask + loss_mask_tensor = torch.roll(response_mask_tensor, shifts=-1, dims=0).float() + loss_mask_tensor[-1] = 0.0 # Last position should not train + + logprobs_tensor = torch.tensor(accumulator.logprobs, dtype=torch.float) + + return Episode( + episode_id=game_id, + all_token_ids=all_tokens_tensor, + response_mask=response_mask_tensor, + loss_mask=loss_mask_tensor, # NEW! + reward=final_reward, + logprobs=logprobs_tensor, + ref_logprobs=None, # Filled in later + # ... rest of fields + ) +``` + +**DELETE the create_next_token_targets function entirely!** + +--- + +## Part 8: Update continuous_rollouts + +### Pass loss_mask to ref_model: + +```python +# In continuous_rollouts, before calling ref_model: + +# Pad input_ids and loss_masks to same length +max_len = max(len(e.all_token_ids) for e in episodes) + +padded_input_ids = [] +padded_loss_masks = [] + +for e in episodes: + seq_len = len(e.all_token_ids) + pad_len = max_len - seq_len + + # Pad tokens + padded_tokens = F.pad(e.all_token_ids, (0, pad_len), value=pad_id) + padded_input_ids.append(padded_tokens) + + # Pad loss_mask + padded_mask = F.pad(e.loss_mask, (0, pad_len), value=0.0) + padded_loss_masks.append(padded_mask) + +input_ids = torch.stack(padded_input_ids) # [batch, max_len] +loss_mask_batch = torch.stack(padded_loss_masks) # [batch, max_len] + +# Call ref_model with loss_mask +ref_logprobs_padded = await ref_model.forward.route( + input_ids, + return_logprobs=True, + loss_mask=loss_mask_batch # NEW! +) + +# Assign ref_logprobs to episodes (unpad to original length) +for i, episode in enumerate(episodes): + seq_len = len(episode.all_token_ids) + episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] +``` + +--- + +## Part 9: Summary of All Changes + +### Files to Edit: + +1. **`src/forge/util/ops.py`**: + - Add `ignore_index` parameter to `compute_logprobs` + - Add new utility function `create_shifted_targets` + +2. **`apps/blackjack/main_v2.py`**: + - **DELETE** `create_next_token_targets` function (lines 965-994) + - Update `do_single_rollout`: create loss_mask with simple shift + - Update `collate()`: pass loss_mask instead of response_mask + - Update `simple_grpo_loss()`: use `create_shifted_targets`, call `compute_logprobs` + - Update `continuous_rollouts`: pass loss_mask to ref_model + +3. **`src/forge/actors/reference_model.py`**: + - Update `forward()`: accept loss_mask, use `create_shifted_targets` and `compute_logprobs` + +4. **Update assertions** (lines 1331-1357): + - Simplify to: `assert len(ep.all_token_ids) == len(ep.loss_mask)` + +### New utility function location: + +Add to **`src/forge/util/ops.py`** (or `src/forge/data/common.py` if you prefer): + +```python +def create_shifted_targets( + input_ids: torch.Tensor, + loss_mask: torch.Tensor | None = None, + ignore_index: int = CROSS_ENTROPY_IGNORE_IDX, +) -> torch.Tensor: + """Create next-token prediction targets using torch.roll.""" + # If no loss_mask provided, all positions trainable + if loss_mask is None: + loss_mask = torch.ones_like(input_ids, dtype=torch.float) + + # ... (see Part 2 above) +``` + +--- + +## Part 10: Why This Design is Better + +### Comparison: + +| Aspect | Old Design | New Design | +|--------|-----------|------------| +| **Episode fields** | `targets` (redundant!) | No targets, just `loss_mask` | +| **loss_mask creation** | Complex finalize() logic | Simple shift: `torch.roll(mask, -1)` | +| **Shape changes** | Slicing changes shapes | torch.roll maintains shape | +| **Mask semantics** | Confusing response_mask | Clear loss_mask (shifted) | +| **Utility reuse** | Inline everywhere | `create_shifted_targets()` utility | +| **Auto-masking** | Manual `* loss_mask` | ignore_index auto-zeros | +| **compute_logprobs** | Takes input_ids with align | Takes targets, no align | + +### Benefits: + +1. **No redundant data**: Don't store targets, create on-the-fly +2. **Constant shapes**: All tensors stay [seq_len] throughout +3. **Simple loss_mask**: Just shift response_mask with `torch.roll`, no complex logic +4. **Utility function**: Reuse `create_shifted_targets` everywhere +5. **Auto-masking**: ignore_index makes masked positions 0.0 automatically +6. **Per-sequence normalization**: Each sequence contributes equally to loss +7. **Simplified API**: `compute_logprobs` takes targets directly, no align parameter +8. **Optional loss_mask**: `create_shifted_targets` handles None (all trainable) + +--- + +## Testing Checklist + +Run `python debug/test_loss_mask_torch_roll.py` and verify: + +1. ✅ torch.roll creates correct targets +2. ✅ loss_mask = response_mask shifted by 1 +3. ✅ Truncated responses have loss_mask=0.0 at last position +4. ✅ Shape is maintained ([seq_len] → [seq_len]) +5. ✅ Logprobs computation works correctly +6. ✅ Multi-turn example matches expected behavior +7. ✅ Per-sequence normalization in loss diff --git a/debug/rl_masking_research.md b/debug/rl_masking_research.md new file mode 100644 index 000000000..f7071d70b --- /dev/null +++ b/debug/rl_masking_research.md @@ -0,0 +1,345 @@ +# RL Library Multi-Turn Conversation Masking Research + +## Executive Summary + +The NVIDIA NeMo-RL library (located at `/home/felipemello/forge/RL/`) provides a comprehensive approach to handling multi-turn conversation masking for RL training. The library **does NOT perform explicit suffix stripping after EOS tokens** - instead, it relies on the chat template to handle EOS tokens correctly and creates loss masks based on message roles. + +## Key Findings + +### 1. Loss Mask Creation (`token_loss_mask`) + +The primary function for creating loss masks is `add_loss_mask_to_message_log()` located in: +- **File**: `/home/felipemello/forge/RL/nemo_rl/data/llm_message_utils.py` +- **Lines**: 141-176 + +**Code snippet:** +```python +def add_loss_mask_to_message_log( + batch_message_log: list[LLMMessageLogType], + roles_to_train_on: list[str] = ["assistant"], + only_unmask_final: bool = False, +) -> None: + """Add token-level loss masks to each message in a message log. + + Args: + message_log (LLMMessageLogType): List of message dictionaries containing token IDs and metadata + roles_to_train_on (list[str]): List of strings indicating which speakers to unmask. Default: ["assistant"] + only_unmask_final (bool): If True, only unmask the final message in the log. Default: False + """ + for i, role in enumerate(roles_to_train_on): + roles_to_train_on[i] = role.lower() + + for message_log in batch_message_log: + for i, message in enumerate(message_log): + if only_unmask_final: + if i == len(message_log) - 1: + message["token_loss_mask"] = torch.ones_like( + cast(Tensor, message["token_ids"]) + ) + else: + message["token_loss_mask"] = torch.zeros_like( + cast(Tensor, message["token_ids"]) + ) + else: + if message["role"] in roles_to_train_on: + message["token_loss_mask"] = torch.ones_like( + cast(Tensor, message["token_ids"]) + ) + else: + message["token_loss_mask"] = torch.zeros_like( + cast(Tensor, message["token_ids"]) + ) +``` + +**Key behavior:** +- Creates a `token_loss_mask` tensor that is `torch.ones_like(token_ids)` for assistant messages +- Creates a `token_loss_mask` tensor that is `torch.zeros_like(token_ids)` for non-assistant messages +- **ALL tokens in assistant messages are masked in (value=1), including any EOS tokens** +- No special handling for tokens after EOS + +**Usage locations:** +- SFT: `/home/felipemello/forge/RL/nemo_rl/algorithms/sft.py:265` +- DPO: `/home/felipemello/forge/RL/nemo_rl/algorithms/dpo.py:176` (with `add_loss_mask=True`) +- GRPO: `/home/felipemello/forge/RL/nemo_rl/algorithms/grpo.py:1080-1086` +- Distillation: `/home/felipemello/forge/RL/nemo_rl/algorithms/distillation.py:659-663` + +### 2. EOS Token Handling + +The library handles EOS tokens at the **chat template level** during tokenization, not during masking. + +**File**: `/home/felipemello/forge/RL/nemo_rl/data/llm_message_utils.py` +**Function**: `get_formatted_message_log()` +**Lines**: 443-659 + +**Key EOS handling code (lines 588-606):** +```python +if i == len(message_log_strs) - 1: + r""" + This is an attempt to robustly append the eos token. The origin is Qwen + chat templates always append \n and some models like gemma do not + use the at all in the chat template. Adding a if the is + already at the end, is likely a user error, and since we know Qwen likes to + have \n we'll check for that case. + + This makes the logic slightly more robust to the model family's chat template + so users don't need to know whether they need to add add_eos or not. + """ + stripped_message_chunk = message_chunk.rstrip("\n") + if add_eos_token: + if tokenizer.eos_token is None: + warnings.warn( + "add_eos_token is True but the tokenizer does not have an EOS token. Skipping EOS token addition." + ) + elif not stripped_message_chunk.endswith(tokenizer.eos_token): + message_chunk += tokenizer.eos_token +``` + +**Behavior:** +- EOS token is added to the **last message** in the conversation +- The code strips trailing newlines before checking if EOS is already present +- If the stripped message doesn't end with EOS, it appends `tokenizer.eos_token` +- This ensures EOS is present exactly once at the end + +### 3. Multi-Turn Generation: Handling Tokens After EOS + +**File**: `/home/felipemello/forge/RL/nemo_rl/models/generation/vllm/vllm_worker_async.py` +**Function**: `_replace_prefix_tokens()` +**Lines**: 40-121 + +This is the most sophisticated EOS handling in the codebase. It deals with multi-turn generation where previous turns may have EOS tokens. + +**Code snippet (lines 97-121):** +```python +eos_token_id = tokenizer.eos_token_id +assert eos_token_id is not None, "Your tokenizer must have an EOS token ID!" + +model_cut_end = len(model_prefix_token_ids) +if model_prefix_token_ids: + # We are not always guaranteed that the model outputs an EOS token as the stop criteria of the previous model call e.g. when the model reaches max_tokens. + # And since chat templates will always add one for us, we just cut the model input to right before the EOS token ID (if applicable) + if model_prefix_token_ids[-1] == eos_token_id: + model_cut_end -= 1 + +# We take everything starting with the EOS token ID. +template_cut_start = -1 +for pos in reversed(range(len(template_prefix_token_ids))): + if template_token_ids[pos] == eos_token_id: + template_cut_start = pos + break + +# This should never be the case, but +assert template_cut_start >= 0, ( + "No EOS token ID found in the chat-templated messages!" +) + +return ( + model_prefix_token_ids[:model_cut_end] + template_token_ids[template_cut_start:] +) +``` + +**Key behavior:** +- When continuing multi-turn generation, it finds the last EOS in the template +- If the model's previous output ended with EOS, it **cuts before that EOS** (`model_cut_end -= 1`) +- Then it appends everything from the template starting at the EOS position +- This ensures proper token alignment when the chat template re-tokenizes text differently + +**Test validation** (lines 1283-1301 in `/home/felipemello/forge/RL/tests/unit/models/generation/test_vllm_generation.py`): +```python +model_prefix_token_ids = og_model_token_ids[:-16] +assert model_prefix_token_ids[-1] == eos_token_id +# newline after EOS +template_prefix_token_ids = template_token_ids[:-15] +assert template_prefix_token_ids[-2] == eos_token_id +assert template_prefix_token_ids[-1] != eos_token_id +result = _replace_prefix_tokens( + tokenizer=tokenizer, + model_prefix_token_ids=model_prefix_token_ids, + template_prefix_token_ids=template_prefix_token_ids, + template_token_ids=template_token_ids, +) +assert result == og_model_token_ids +``` + +This test shows they handle the case where template has **newline after EOS**. + +### 4. No Suffix Stripping After EOS + +**Finding**: The library **does NOT strip or validate suffix length after EOS tokens**. + +Evidence: +1. No grep results for patterns like "strip.*suffix", "suffix.*strip", "after.*eos" in data processing code +2. Loss masks are created based solely on role, not on EOS position +3. The `token_loss_mask` is created with `torch.ones_like(token_ids)` for entire assistant messages + +**Implication**: If a chat template generates tokens after EOS (e.g., `\n`), those tokens would be: +- **Included in the token_ids** +- **Included in the loss mask (masked in with value=1)** +- **Used for training loss computation** + +The library relies on: +1. Chat templates being well-formed (not generating extra tokens after EOS) +2. EOS token handling at generation time (via `_replace_prefix_tokens`) +3. Proper tokenizer configuration + +### 5. Chat Template Usage + +**File**: `/home/felipemello/forge/RL/nemo_rl/data/llm_message_utils.py` +**Lines**: 541-543 + +```python +formatted_message: str = tokenizer.apply_chat_template( # type: ignore + message_log_strs[: i + 1], **template_kwargs +) +``` + +The library uses `tokenizer.apply_chat_template()` extensively: +- Each message turn is formatted incrementally +- Difference between consecutive formatted strings gives the current message chunk +- This approach handles model-specific formatting (Llama, Qwen, Gemma, etc.) + +**Configurable chat templates** (`/home/felipemello/forge/RL/nemo_rl/models/policy/__init__.py:137`): +```python +# Arguments to pass to tokenizer.apply_chat_template(...). This can be used to pass kwargs like enable_thinking=true +``` + +Users can pass custom kwargs to `apply_chat_template` (e.g., `enable_thinking=True` for Qwen3). + +### 6. Test Validation of EOS Handling + +**File**: `/home/felipemello/forge/RL/tests/unit/data/test_llm_message_utils.py` +**Function**: Test parameterization +**Lines**: 420-498 + +Test expectations documented (lines 420-434): +```python +""" +Expectations: +- Require an EOS token for well-defined end-of-turn comparison. +- When add_generation_prompt is False, the concatenated contents must match + the tokenizer's apply_chat_template output; if the tokenizer omits a final + EOS, accept the actual with EOS by appending EOS to the expected before + comparison. +- When add_generation_prompt is True and the last turn is an assistant + message, accept either: + (1) prefix built with add_generation_prompt=True followed by the raw + assistant content plus EOS; or + (2) the tokenizer's full non-generation template output plus EOS. + This avoids hard-coding model-specific headers or delimiters while still + verifying semantic equivalence. +- Only normalization performed is trimming a trailing newline after EOS. +""" +``` + +**Normalization function (lines 449-453):** +```python +def normalize(s: str) -> str: + # Normalize EOS+newline quirk to EOS only + if s.endswith(eos + "\n"): + return s[:-1] + return s +``` + +**Key insight**: The test normalizes `\n` → `` for comparison, acknowledging that some templates (like Qwen) add newlines after EOS. This is **purely for test validation**, not for actual training data processing. + +### 7. Collate Function Integration + +**File**: `/home/felipemello/forge/RL/nemo_rl/data/collate_fn.py` +**Function**: `preference_collate_fn()` +**Lines**: 127-197 + +```python +def preference_collate_fn( + data_batch: list[DPODatumSpec], + tokenizer: TokenizerType, + make_sequence_length_divisible_by: int, + add_loss_mask: bool, +) -> BatchedDataDict[Any]: + # ... batching logic ... + + if add_loss_mask: + add_loss_mask_to_message_log( + batch["message_log"], + only_unmask_final=True, # For DPO, only train on final response + ) + + cat_and_padded, input_lengths = batched_message_log_to_flat_message( + batch["message_log"], + pad_value_dict={"token_ids": tokenizer.pad_token_id}, + make_sequence_length_divisible_by=make_sequence_length_divisible_by, + ) + + data: BatchedDataDict[Any] = BatchedDataDict( + { + "input_ids": cat_and_padded["token_ids"], + "input_lengths": input_lengths, + "sample_mask": batch["loss_multiplier"], + } + ) + if add_loss_mask: + data["token_mask"] = cat_and_padded["token_loss_mask"] + + return data +``` + +The `token_mask` from `token_loss_mask` is used directly for loss computation. + +## Summary: Design Philosophy + +The NeMo-RL library's approach: + +1. **Trust the chat template**: Assumes `tokenizer.apply_chat_template()` produces well-formed sequences +2. **Role-based masking**: Masks are created based on message role, not token content +3. **EOS at generation time**: Handles EOS tokens during generation (multi-turn) with `_replace_prefix_tokens()` +4. **No post-EOS stripping**: Does not validate or strip tokens after EOS +5. **Test normalization only**: Tests normalize `\n` but training data keeps it as-is + +## Comparison to Other Approaches + +**What NeMo-RL does NOT do:** +- ❌ Check if tokens exist after EOS +- ❌ Strip suffix after EOS +- ❌ Validate suffix length is 0 after EOS +- ❌ Create masks based on EOS position + +**What NeMo-RL DOES do:** +- ✅ Add EOS token if missing from chat template +- ✅ Handle EOS during multi-turn generation continuations +- ✅ Create loss masks based on role (assistant vs user) +- ✅ Normalize `\n` → `` in tests only + +## Relevant File Paths + +1. **Core masking logic**: `/home/felipemello/forge/RL/nemo_rl/data/llm_message_utils.py` + - `add_loss_mask_to_message_log()` (lines 141-176) + - `get_formatted_message_log()` (lines 443-659) + +2. **EOS handling for generation**: `/home/felipemello/forge/RL/nemo_rl/models/generation/vllm/vllm_worker_async.py` + - `_replace_prefix_tokens()` (lines 40-121) + +3. **Collate functions**: `/home/felipemello/forge/RL/nemo_rl/data/collate_fn.py` + - `preference_collate_fn()` (lines 127-197) + +4. **Algorithm usage**: + - SFT: `/home/felipemello/forge/RL/nemo_rl/algorithms/sft.py:265` + - DPO: `/home/felipemello/forge/RL/nemo_rl/algorithms/dpo.py:176` + - GRPO: `/home/felipemello/forge/RL/nemo_rl/algorithms/grpo.py:1080-1086` + - Distillation: `/home/felipemello/forge/RL/nemo_rl/algorithms/distillation.py:659-663` + +5. **Tests**: `/home/felipemello/forge/RL/tests/unit/data/test_llm_message_utils.py` + - EOS normalization tests (lines 420-498) + - Loss mask tests (lines 567-614) + +6. **Generation tests**: `/home/felipemello/forge/RL/tests/unit/models/generation/test_vllm_generation.py` + - `test_VllmAsyncGenerationWorker_replace_prefix_tokens()` (lines 1235-1329) + +## Recommendation + +If you need to handle tokens after EOS in your implementation: + +1. **For training data**: You may want to add validation/stripping logic before `add_loss_mask_to_message_log()` is called +2. **For generation**: Use NeMo-RL's `_replace_prefix_tokens()` approach for multi-turn handling +3. **For chat templates**: Ensure your templates don't generate tokens after EOS, or strip them explicitly + +The NeMo-RL approach assumes clean chat templates. If your chat template generates `\n`, you would need to: +- Either modify the chat template to not generate the newline +- Or add a post-processing step to strip tokens after EOS before creating masks diff --git a/debug/test_create_next_token_targets.py b/debug/test_create_next_token_targets.py new file mode 100644 index 000000000..99009010d --- /dev/null +++ b/debug/test_create_next_token_targets.py @@ -0,0 +1,485 @@ +#!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Standalone test for next-token prediction targets and training masks. + +This script tests the alignment between tokens, targets, and masks for multi-turn conversations. +""" + +from typing import List + +import torch +from tabulate import tabulate + + +CROSS_ENTROPY_IGNORE_IDX = -100 + + +def create_next_token_targets( + all_token_ids: torch.Tensor, # [seq_len] + response_mask: torch.Tensor, # [seq_len] bool + eos_token_id: int, + ignore_index: int = CROSS_ENTROPY_IGNORE_IDX, +) -> torch.Tensor: + """ + Create next-token prediction targets with EOS masking for multi-turn. + + Args: + all_token_ids: All conversation tokens [seq_len] + response_mask: Boolean mask, True for trainable tokens + eos_token_id: EOS token ID to mask (prevents predicting after EOS) + ignore_index: Value to use for masked positions + + Returns: + targets: Target tokens for next-token prediction [seq_len] + """ + targets = torch.full_like(all_token_ids, ignore_index) + + # Shift: targets[i] should predict all_token_ids[i+1] + targets[:-1] = all_token_ids[1:] + + # Mask targets for non-trainable tokens + targets[~response_mask] = ignore_index + + # EOS is part of response_mask, but we should ignore the prediction + targets[all_token_ids == eos_token_id] = ignore_index + + return targets + + +def test_exact_user_example(): + """ + Test the EXACT example from the user: + + Multi-turn sequence: + - System message + - User message + - Agent says "Hello there" + EOS + - User message + - Agent says "I am bob" + EOS + + Only agent responses should be trainable. + """ + print("\n" + "=" * 100) + print("TEST: Multi-turn conversation with 'Hello there' and 'I am bob'") + print("=" * 100) + print() + + # Define token IDs (using readable numbers) + # Let's say: EOS=100, typical tokens are < 100 + + # Build the sequence step by step + token_strs = [ + # System message + "<|im_start|>", + "system", + "\n", + "You", + "are", + "helpful", + "<|im_end|>", + # User message 1 + "<|im_start|>", + "user", + "\n", + "Hi", + "<|im_end|>", + # Assistant response 1: "Hello there" + "<|im_start|>", + "assistant", + "\n", + "Hello", + "there", + "<|im_end|>", + # User message 2 + "<|im_start|>", + "user", + "\n", + "Who", + "are", + "you", + "<|im_end|>", + # Assistant response 2: "I am bob" + "<|im_start|>", + "assistant", + "\n", + "I", + "am", + "bob", + "<|im_end|>", + ] + + # Map to token IDs (simplified) + token_map = {s: i + 1 for i, s in enumerate(set(token_strs))} + token_map["<|im_end|>"] = 100 # EOS token + + tokens = [token_map[s] for s in token_strs] + + # Create mask: True only for assistant content tokens (not the prefix) + # Pattern: <|im_start|> assistant \n [CONTENT TOKENS] <|im_end|> + # False False False [TRUE...] TRUE (EOS) + + mask = [] + in_assistant = False + for i, s in enumerate(token_strs): + if s == "assistant": + in_assistant = True + mask.append(False) # "assistant" token itself is not trainable + elif in_assistant and s == "\n": + mask.append(False) # newline after "assistant" is not trainable + elif in_assistant and s == "<|im_end|>": + mask.append( + True + ) # EOS is marked as trainable (but will be excluded in targets) + in_assistant = False + elif in_assistant: + mask.append(True) # Actual content is trainable + else: + mask.append(False) # System, user, prefixes are not trainable + + all_token_ids = torch.tensor(tokens, dtype=torch.long) + response_mask = torch.tensor(mask, dtype=torch.bool) + eos_token_id = 100 + + targets = create_next_token_targets(all_token_ids, response_mask, eos_token_id) + + # Create training mask (what actually contributes to loss) + # This should be: position i is trainable if token i+1 is trainable AND token i is not EOS + training_mask = torch.zeros_like(response_mask, dtype=torch.float) + for i in range(len(tokens) - 1): + # Position i predicts token i+1 + # We train on position i if: + # 1. Token i+1 is trainable (response_mask[i+1] == True) + # 2. Token i is NOT EOS (don't predict after EOS) + if response_mask[i + 1] and tokens[i] != eos_token_id: + training_mask[i] = 1.0 + + # Build the table + table_data = [] + for i in range(len(tokens)): + token_str = token_strs[i] + token_id = tokens[i] + + # Response mask + resp_mask_str = "✓" if mask[i] else "✗" + + # Target + target_val = targets[i].item() + if target_val == CROSS_ENTROPY_IGNORE_IDX: + target_str = "IGNORE" + else: + target_str = f"{target_val}" + # Find what token this is + for s, tid in token_map.items(): + if tid == target_val: + target_str = f"{target_val} ({s})" + break + + # Training mask (what contributes to loss) + train_mask_val = training_mask[i].item() + train_mask_str = f"{train_mask_val:.1f}" + + # Notes + notes = [] + if i < len(tokens) - 1: + next_token = token_strs[i + 1] + notes.append(f"→ {next_token}") + + table_data.append( + [ + i, + token_str, + token_id, + resp_mask_str, + target_str, + train_mask_str, + " ".join(notes), + ] + ) + + headers = [ + "Idx", + "Token", + "ID", + "Response\nMask", + "Target", + "Training\nMask", + "Predicts", + ] + print(tabulate(table_data, headers=headers, tablefmt="grid")) + + print("\n" + "=" * 100) + print("KEY INSIGHTS FROM THIS EXAMPLE") + print("=" * 100) + print() + print("1. RESPONSE_MASK vs TRAINING_MASK:") + print(" - response_mask: Marks which tokens ARE responses (content + EOS)") + print(" - training_mask: Marks which POSITIONS contribute to loss") + print(" - They are NOT the same!") + print() + print("2. THE SHIFT:") + print(" - Position i predicts token i+1") + print(" - If token i+1 is trainable, then position i contributes to loss") + print( + " - training_mask[i] = 1.0 if (response_mask[i+1] == True AND token[i] != EOS)" + ) + print() + print("3. WHY MASK IS 0.0/1.0 (not bool):") + print( + " - Used in loss computation: loss = (per_token_loss * training_mask).sum()" + ) + print(" - Float mask allows element-wise multiplication") + print() + print("4. EOS HANDLING:") + print(" - EOS appears in response_mask (it's part of the response)") + print(" - Position before EOS should predict EOS (training_mask=1.0)") + print( + " - Position AT EOS should NOT train (training_mask=0.0, don't predict after EOS)" + ) + print() + + # Show specific examples + print("=" * 100) + print("SPECIFIC EXAMPLES FROM THE TABLE") + print("=" * 100) + print() + + # Find "Hello" token + hello_idx = token_strs.index("Hello") + there_idx = token_strs.index("there") + + print(f"Position {hello_idx} (token='Hello'):") + print(f" - Predicts: '{token_strs[hello_idx + 1]}'") + print(f" - response_mask[{hello_idx}] = {mask[hello_idx]}") + print(f" - training_mask[{hello_idx}] = {training_mask[hello_idx].item()}") + print(f" - target[{hello_idx}] = {targets[hello_idx].item()}") + print(f" → Position {hello_idx} TRAINS to predict '{token_strs[hello_idx + 1]}'") + print() + + # Find position before first EOS + first_eos_idx = tokens.index(100) + before_eos_idx = first_eos_idx - 1 + + print(f"Position {before_eos_idx} (token='{token_strs[before_eos_idx]}'):") + print(f" - Predicts: '<|im_end|>' (EOS)") + print(f" - response_mask[{before_eos_idx}] = {mask[before_eos_idx]}") + print( + f" - training_mask[{before_eos_idx}] = {training_mask[before_eos_idx].item()}" + ) + print( + f" - target[{before_eos_idx}] = {targets[before_eos_idx].item()} (should be {eos_token_id})" + ) + print(f" → Position {before_eos_idx} TRAINS to predict EOS") + print() + + print(f"Position {first_eos_idx} (token='<|im_end|>'):") + print(f" - Token IS EOS") + print(f" - response_mask[{first_eos_idx}] = {mask[first_eos_idx]}") + print(f" - training_mask[{first_eos_idx}] = {training_mask[first_eos_idx].item()}") + print(f" - target[{first_eos_idx}] = {targets[first_eos_idx].item()}") + print(f" → Position {first_eos_idx} does NOT train (don't predict after EOS)") + print() + + print("=" * 100) + print("HOW LOSS COMPUTATION WORKS") + print("=" * 100) + print() + print("In the GRPO loss function:") + print() + print(" logprobs = compute_logprobs(logits, all_tokens) # [seq_len]") + print(" per_token_loss = -(logprobs * advantages) # [seq_len]") + print(" masked_loss = per_token_loss * training_mask # [seq_len]") + print(" loss = masked_loss.sum() / training_mask.sum() # scalar") + print() + print("Only positions where training_mask=1.0 contribute to the loss!") + print() + print("This means:") + print(" - System, user messages: training_mask=0.0 → no gradient") + print(" - Assistant prefix: training_mask=0.0 → no gradient") + print(" - Assistant content: training_mask=1.0 → gets gradient") + print(" - Position after EOS: training_mask=0.0 → no gradient") + print() + + print("=" * 100) + print("SUMMARY: WHAT NEEDS TO BE FIXED") + print("=" * 100) + print() + print("1. RENAME 'response_mask' to 'response_token_mask' for clarity") + print(" - It marks which tokens ARE responses") + print() + print( + "2. CREATE 'training_mask' (or 'loss_mask') derived from response_token_mask:" + ) + print( + " - training_mask[i] = 1.0 if response_token_mask[i+1] and not is_eos(token[i])" + ) + print(" - This is the mask used in loss computation") + print() + print("3. FIX compute_logprobs call:") + print(" - Currently: compute_logprobs(logits, all_tokens, align=False)") + print(" - Problem: logits[i] predicts token[i+1], not token[i]!") + print(" - Solution: Shift properly or use targets") + print() + print("4. USE targets in loss computation (if created):") + print(" - targets already has the shift built in") + print(" - targets[i] = all_tokens[i+1] where trainable, else IGNORE") + print(" - Can derive training_mask from: (targets != IGNORE).float()") + print() + + return True + + +def test_simple_hello_bob(): + """ + Simplified version with just the tokens, no template. + + Sequence: + - "prompt" "prompt" + - "Hello" "there" EOS + - "prompt" "prompt" + - "I" "am" "bob" EOS + """ + print("\n" + "=" * 100) + print("TEST: Simplified 'Hello there' and 'I am bob' example") + print("=" * 100) + print() + + # Token strings + token_strs = [ + "Prompt", + "prompt", # User message 1 + "Hello", + "there", + "EOS", # Agent response 1 + "Prompt", + "prompt", # User message 2 + "I", + "am", + "bob", + "EOS", # Agent response 2 + ] + + # Token IDs + tokens = [1, 2, 3, 4, 100, 5, 6, 7, 8, 9, 100] + + # response_mask: True for agent responses (including EOS) + response_mask = [ + False, + False, + True, + True, + True, + False, + False, + True, + True, + True, + True, + ] + + all_token_ids = torch.tensor(tokens, dtype=torch.long) + response_mask_tensor = torch.tensor(response_mask, dtype=torch.bool) + eos_token_id = 100 + + targets = create_next_token_targets( + all_token_ids, response_mask_tensor, eos_token_id + ) + + # Create CORRECT training mask + # Position i is trainable if token[i+1] is trainable AND token[i] is not EOS + training_mask = torch.zeros(len(tokens), dtype=torch.float) + for i in range(len(tokens) - 1): + if response_mask[i + 1] and tokens[i] != eos_token_id: + training_mask[i] = 1.0 + + # Build table + table_data = [] + for i in range(len(tokens)): + token_str = token_strs[i] + token_id = tokens[i] + + resp_mask_str = "1" if response_mask[i] else "0" + + target_val = targets[i].item() + if target_val == CROSS_ENTROPY_IGNORE_IDX: + target_str = "IGNORE" + else: + if i + 1 < len(token_strs): + target_str = f"{target_val} (→{token_strs[i+1]})" + else: + target_str = f"{target_val}" + + train_mask_str = f"{training_mask[i].item():.1f}" + + # Show what contributes to loss + contributes = "YES" if training_mask[i].item() == 1.0 else "NO" + + table_data.append( + [ + i, + token_str, + token_id, + resp_mask_str, + target_str, + train_mask_str, + contributes, + ] + ) + + headers = [ + "Idx", + "Token", + "ID", + "Resp\nMask", + "Target\n(predicts)", + "Train\nMask", + "Loss?", + ] + print(tabulate(table_data, headers=headers, tablefmt="grid")) + + print("\n" + "=" * 100) + print("OBSERVATIONS") + print("=" * 100) + print() + print(f"Total tokens: {len(tokens)}") + print(f"Response tokens (response_mask=1): {sum(response_mask)}") + print(f"Training positions (training_mask=1): {int(training_mask.sum().item())}") + print() + print("Notice:") + print(" - Response tokens: 7 (includes both EOS)") + print(" - Training positions: 5 (excludes positions AT EOS and after EOS)") + print(" - The difference: 2 EOS positions don't train") + print() + + return True + + +def main(): + """Run all tests.""" + print("\n" + "=" * 100) + print("TESTING NEXT-TOKEN PREDICTION: TARGETS AND TRAINING MASKS") + print("=" * 100) + + test_exact_user_example() + test_simple_hello_bob() + + print("\n" + "=" * 100) + print("ALL TESTS COMPLETED ✅") + print("=" * 100) + print() + + +if __name__ == "__main__": + try: + main() + except ImportError: + print("Installing tabulate...") + import subprocess + + subprocess.check_call(["pip", "install", "-q", "tabulate"]) + main() diff --git a/debug/test_fixes_summary.md b/debug/test_fixes_summary.md deleted file mode 100644 index fedf89a39..000000000 --- a/debug/test_fixes_summary.md +++ /dev/null @@ -1,168 +0,0 @@ -# Test Fixes Summary - -**Date:** 2025-01-17 -**Issue:** Test 4 crashing, Test 3 failing validation - ---- - -## Test 4: Crash on `len()` calls - -### Problem -Test 4 was crashing on lines 289-290: - -```python -print("get_remaining_budget ", len(acc.get_remaining_budget)) # ❌ Crash! -print("max_seq_len ", len(acc.max_seq_len)) # ❌ Would crash! -``` - -**Root cause:** -- `get_remaining_budget` is a **method**, not a list -- `max_seq_len` is an **integer**, not a list -- Calling `len()` on these causes a TypeError that crashes the interpreter - -**Fix:** -```python -print("get_remaining_budget: ", acc.get_remaining_budget()) # Call the method -print("max_seq_len: ", acc.max_seq_len) # Just the integer -``` - ---- - -## Test 3 & 4: Qwen Thinking Tag Removal - -### Problem -Test 3 was failing with: -``` -❌ FINALIZE FAILED: Token accumulation mismatch! - Accumulated: 175 tokens - Ground truth: 46 tokens - Difference: -129 -``` - -**Root cause:** Qwen's chat template **removes thinking tags from previous assistant messages** when you add new user messages! - -From the library comparison doc: -> Qwen3 series removes `` tags from ALL assistant messages BEFORE the last user message - -**What happens:** - -```python -# Turn 1: Accumulate assistant response WITH thinking tags -messages = [ - {"role": "system", "content": "..."}, - {"role": "user", "content": "Say hi"}, - {"role": "assistant", "content": "...\n\nhi"} -] -# Accumulated: 175 tokens (includes thinking tags) - -# Turn 2: Add new user message -messages.append({"role": "user", "content": "Say bye"}) - -# When we call tokenizer.apply_chat_template(messages, ...): -# Qwen REMOVES thinking tags from assistant1 because it's not the last message anymore! -# Ground truth: 46 tokens (no thinking tags in assistant1) - -# Mismatch: 175 accumulated vs 46 ground truth -``` - -**Why this breaks validation:** -- We accumulated tokens WITH thinking tags (what was actually generated) -- Qwen's tokenizer produces tokens WITHOUT thinking tags (when re-tokenizing with new messages) -- The ground truth doesn't match what we accumulated - -**Fix:** -```python -# Disable strict validation - we can't compare against ground truth -# because Qwen's tokenization is not stable across turns -sanity_check_mode=SanityCheckMode.DISABLE -``` - -**Alternative approach (VERL's solution):** -- Use BASE_CHAT_HISTORY pattern to avoid re-tokenizing full conversation -- Only tokenize deltas (new messages) -- Never compare against full conversation re-tokenization - ---- - -## Test 4: Wrong Test Logic - -### Problem -Test was checking wrong condition: -```python -success = acc.add_user_message("This is a very long message" * 100) -if success: - print("\n❌ ERROR: Truncated episode was accepted!") -``` - -But then returning `True` at the end, regardless of whether truncation happened. - -**Fix:** -```python -success = acc.add_user_message("This is a very long message" * 100) - -# Check that truncation actually happened -if not acc.is_truncated: - print("\n❌ ERROR: Episode should have been truncated!") - return False - -if acc.truncation_reason != "user_message_length": - print(f"\n❌ ERROR: Wrong truncation reason: {acc.truncation_reason}") - return False - -print("✅ PASS: Episode correctly marked as truncated") -return True -``` - ---- - -## Summary of Changes - -### File: `test_token_accumulator_validation.py` - -1. **Fixed crash in Test 4:** - - Changed `len(acc.get_remaining_budget)` to `acc.get_remaining_budget()` - - Changed `len(acc.max_seq_len)` to `acc.max_seq_len` - -2. **Disabled strict validation (all tests):** - - Changed `SanityCheckMode.STRICT` to `SanityCheckMode.DISABLE` - - Reason: Qwen removes thinking tags from previous turns - -3. **Fixed Test 3 validation:** - - Commented out `finalize()` call - - Added thinking tag balance check instead - -4. **Fixed Test 4 logic:** - - Added proper checks for `is_truncated` and `truncation_reason` - - Return False if truncation didn't happen (as expected) - ---- - -## Why DISABLE Mode is Correct - -**The accumulated tokens ARE correct** - they match what was actually generated by vLLM: -- Turn 1: vLLM generates `...\n\nhi` -- We accumulate those exact tokens ✅ - -**The ground truth is DIFFERENT** - Qwen's tokenizer changes behavior: -- When we re-tokenize with new messages, Qwen removes thinking tags from previous turns -- This is Qwen-specific behavior, not a bug in our accumulator - -**Solution:** -- Trust what we accumulated (it's correct) -- Don't compare against re-tokenization (it's unstable with Qwen) -- Use DISABLE mode or implement VERL's BASE_CHAT_HISTORY approach - ---- - -## Expected Test Results After Fixes - -``` -✅ PASS: Test 1 (complete) - Single turn works -✅ PASS: Test 2 (truncated-drop) - Truncated responses rejected -✅ PASS: Test 3 (multi-turn) - Multi-turn works, thinking tags balanced -✅ PASS: Test 4 (truncated-user) - Long user messages correctly truncated -``` - ---- - -**End of Document** diff --git a/debug/test_loss_alignment.py b/debug/test_loss_alignment.py new file mode 100644 index 000000000..9c4243f0a --- /dev/null +++ b/debug/test_loss_alignment.py @@ -0,0 +1,419 @@ +#!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Standalone test to verify loss alignment between policy and ref model paths. + +Goal: Prove whether the KL explosion (step 1 loss = 39,000) is due to an alignment bug + or something else (initial model divergence, etc.). + +Test strategy: +1. Create multi-turn conversation with TokenAccumulator +2. Extract episode tensors (all_token_ids, response_mask, loss_mask) +3. Create dummy logits +4. Compute logprobs via policy path +5. Compute ref_logprobs via ref path (SAME logits to verify alignment) +6. Verify logprob_diff is small (proves alignment is correct) +7. Call simple_grpo_loss and verify no explosion +""" + +import os +import sys + +import torch + +# Add project root to path +sys.path.insert(0, "/home/felipemello/forge") + +from apps.blackjack.main_v2 import SanityCheckMode, TokenAccumulator +from forge.data.common import CROSS_ENTROPY_IGNORE_IDX +from forge.util.ops import compute_logprobs, create_shifted_targets +from vllm.transformers_utils.tokenizer import get_tokenizer + + +def create_dummy_logits(batch_size, seq_len, vocab_size, temperature=1.0): + """ + Create dummy logits that are NOT uniform random (which would give ~equal probs). + Instead, create peaked distributions to mimic real model behavior. + """ + # Create base logits + logits = torch.randn(batch_size, seq_len, vocab_size) * temperature + + # For each position, make the "correct" token have highest logit + # This simulates a model that's somewhat confident + for b in range(batch_size): + for s in range(seq_len): + # Pick a random token to be the "target" and boost its logit + target_id = torch.randint(0, vocab_size, (1,)).item() + logits[b, s, target_id] += 3.0 # Boost by 3 to make it confident + + return logits + + +def simple_grpo_loss_minimal( + logits: torch.Tensor, + input_ids: torch.Tensor, + loss_mask: torch.Tensor, + ref_logprobs: torch.Tensor, + advantages: torch.Tensor, + beta: float = 0.1, +) -> dict: + """ + Minimal version of simple_grpo_loss with detailed outputs for debugging. + Returns dict with all intermediate values. + """ + # Create targets + targets = create_shifted_targets(input_ids, loss_mask) + + # Compute policy logprobs + logprobs = compute_logprobs(logits, targets, ignore_index=CROSS_ENTROPY_IGNORE_IDX) + + # Logprob difference + logprob_diff = ref_logprobs - logprobs + + # KL divergence + kl = torch.exp(ref_logprobs - logprobs) - (ref_logprobs - logprobs) - 1 + + # Policy loss + per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages + per_token_loss = -(per_token_policy_loss - beta * kl) + + # Per-sequence normalization + loss = ( + (per_token_loss * loss_mask).sum(dim=1) / loss_mask.sum(dim=1).clamp(min=1.0) + ).mean() + + return { + "targets": targets, + "logprobs": logprobs, + "ref_logprobs": ref_logprobs, + "logprob_diff": logprob_diff, + "kl": kl, + "per_token_loss": per_token_loss, + "loss": loss, + "loss_mask": loss_mask, + } + + +def print_detailed_comparison(result: dict, input_ids: torch.Tensor): + """Print detailed position-by-position comparison.""" + targets = result["targets"] + logprobs = result["logprobs"] + ref_logprobs = result["ref_logprobs"] + logprob_diff = result["logprob_diff"] + kl = result["kl"] + loss_mask = result["loss_mask"] + + print("\n" + "=" * 120) + print("POSITION-BY-POSITION ANALYSIS (First sequence only)") + print("=" * 120) + print( + f"{'Idx':>4} {'Input':>6} {'Target':>8} {'Mask':>5} {'LogProb':>10} {'RefLogP':>10} {'Diff':>8} {'KL':>10}" + ) + print("-" * 120) + + seq = 0 # First sequence + for i in range(len(input_ids[seq])): + inp = input_ids[seq, i].item() + tgt = targets[seq, i].item() + mask = loss_mask[seq, i].item() + lp = logprobs[seq, i].item() + ref_lp = ref_logprobs[seq, i].item() + diff = logprob_diff[seq, i].item() + kl_val = kl[seq, i].item() + + tgt_str = "IGNORE" if tgt == CROSS_ENTROPY_IGNORE_IDX else f"{tgt:6d}" + + # Highlight problematic positions + flag = "" + if mask > 0 and abs(diff) > 5.0: + flag = " ⚠️ LARGE DIFF!" + if mask > 0 and kl_val > 100: + flag = " 🔥 KL EXPLOSION!" + + print( + f"{i:4d} {inp:6d} {tgt_str:>8s} {mask:5.1f} {lp:10.4f} {ref_lp:10.4f} {diff:8.4f} {kl_val:10.4f}{flag}" + ) + + print("-" * 120) + + +def test_loss_alignment(): + """Main test function.""" + print("\n" + "=" * 80) + print("STANDALONE LOSS ALIGNMENT TEST") + print("=" * 80) + + # ============================================================================ + # Step 1: Setup tokenizer and TokenAccumulator + # ============================================================================ + print("\n[1/7] Setting up tokenizer and TokenAccumulator...") + + model_name = "Qwen/Qwen2.5-0.5B-Instruct" + tokenizer = get_tokenizer(model_name) + + initial_messages = [{"role": "system", "content": "You are a helpful assistant."}] + + max_seq_len = 512 + eos_token_id = tokenizer.eos_token_id + + accumulator = TokenAccumulator( + tokenizer=tokenizer, + messages=initial_messages, + max_seq_len=max_seq_len, + eos_token_id=eos_token_id, + enable_thinking=False, + sanity_check_mode=SanityCheckMode.DISABLE, + ) + + print(f" ✓ Tokenizer: {model_name}") + print(f" ✓ EOS token ID: {eos_token_id}") + print(f" ✓ Max seq len: {max_seq_len}") + + # ============================================================================ + # Step 2: Add multi-turn conversation + # ============================================================================ + print("\n[2/7] Building multi-turn conversation...") + + # Turn 1: User + accumulator.add_user_message("What is 2+2?") + + # Turn 1: Assistant + assistant_response_1 = "The answer is 4." + assistant_tokens_1 = tokenizer.encode( + assistant_response_1, add_special_tokens=False + ) + assistant_tokens_1.append(eos_token_id) + accumulator.add_assistant_response( + response_text=assistant_response_1, + response_token_ids=assistant_tokens_1, + response_logprobs=None, + ) + + # Turn 2: User + accumulator.add_user_message("What is 3+3?") + + # Turn 2: Assistant + assistant_response_2 = "The answer is 6." + assistant_tokens_2 = tokenizer.encode( + assistant_response_2, add_special_tokens=False + ) + assistant_tokens_2.append(eos_token_id) + accumulator.add_assistant_response( + response_text=assistant_response_2, + response_token_ids=assistant_tokens_2, + response_logprobs=None, + ) + + print(f" ✓ Added 2 turns (4 messages)") + print(f" ✓ Total tokens: {len(accumulator.accumulated_tokens)}") + print(f" ✓ Trainable positions: {sum(accumulator.response_mask)}") + + # ============================================================================ + # Step 3: Extract episode tensors + # ============================================================================ + print("\n[3/7] Extracting episode tensors...") + + all_token_ids = torch.tensor( + accumulator.accumulated_tokens, dtype=torch.long + ).unsqueeze( + 0 + ) # [1, seq_len] + response_mask = torch.tensor(accumulator.response_mask, dtype=torch.bool).unsqueeze( + 0 + ) # [1, seq_len] + + # Create loss_mask via torch.roll (same as in main_v2.py) + loss_mask = torch.roll(response_mask.float(), shifts=-1, dims=-1) + loss_mask[:, -1] = 0.0 + + print(f" ✓ all_token_ids shape: {all_token_ids.shape}") + print(f" ✓ response_mask shape: {response_mask.shape}") + print(f" ✓ loss_mask shape: {loss_mask.shape}") + print(f" ✓ Trainable positions (loss_mask.sum()): {loss_mask.sum().item()}") + + # ============================================================================ + # Step 4: Create dummy logits + # ============================================================================ + print("\n[4/7] Creating dummy logits...") + + # Use actual vocab size that includes special tokens + # tokenizer.vocab_size may not include special tokens, so we need to find the max token ID + max_token_id = max(all_token_ids.max().item(), eos_token_id) + vocab_size = max_token_id + 100 # Add buffer for safety + batch_size = 1 + seq_len = all_token_ids.shape[1] + + logits = create_dummy_logits(batch_size, seq_len, vocab_size, temperature=1.0) + + print(f" ✓ Logits shape: {logits.shape}") + print(f" ✓ Vocab size (with special tokens): {vocab_size}") + print(f" ✓ Tokenizer vocab_size: {tokenizer.vocab_size}") + print(f" ✓ Max token ID in sequence: {all_token_ids.max().item()}") + + # ============================================================================ + # Step 5: Compute logprobs (policy path) + # ============================================================================ + print("\n[5/7] Computing logprobs (policy path)...") + + # This is what happens in simple_grpo_loss + targets_policy = create_shifted_targets(all_token_ids, loss_mask) + logprobs_policy = compute_logprobs( + logits, targets_policy, ignore_index=CROSS_ENTROPY_IGNORE_IDX + ) + + print(f" ✓ targets_policy shape: {targets_policy.shape}") + print(f" ✓ logprobs_policy shape: {logprobs_policy.shape}") + print( + f" ✓ Non-IGNORE positions: {(targets_policy != CROSS_ENTROPY_IGNORE_IDX).sum().item()}" + ) + + # ============================================================================ + # Step 6: Compute ref_logprobs (ref model path - SAME logits!) + # ============================================================================ + print("\n[6/7] Computing ref_logprobs (ref model path with SAME logits)...") + + # This is what happens in reference_model.forward + targets_ref = create_shifted_targets(all_token_ids, loss_mask) + logprobs_ref = compute_logprobs( + logits, targets_ref, ignore_index=CROSS_ENTROPY_IGNORE_IDX + ) + + print(f" ✓ targets_ref shape: {targets_ref.shape}") + print(f" ✓ logprobs_ref shape: {logprobs_ref.shape}") + print( + f" ✓ Non-IGNORE positions: {(targets_ref != CROSS_ENTROPY_IGNORE_IDX).sum().item()}" + ) + + # ============================================================================ + # CRITICAL: Verify alignment + # ============================================================================ + print("\n" + "=" * 80) + print("ALIGNMENT VERIFICATION") + print("=" * 80) + + # Check 1: Targets should be identical + targets_match = torch.equal(targets_policy, targets_ref) + print(f"\n✓ Targets match: {targets_match}") + if not targets_match: + print(" 🔥 BUG DETECTED: Targets differ between policy and ref paths!") + print(f" Policy targets: {targets_policy[0, :20].tolist()}") + print(f" Ref targets: {targets_ref[0, :20].tolist()}") + + # Check 2: Logprobs should be identical (since we used SAME logits) + logprobs_match = torch.allclose(logprobs_policy, logprobs_ref, atol=1e-6) + print(f"✓ Logprobs match: {logprobs_match}") + if not logprobs_match: + print(" 🔥 BUG DETECTED: Logprobs differ even with same logits!") + max_diff = (logprobs_policy - logprobs_ref).abs().max().item() + print(f" Max difference: {max_diff}") + + # Check 3: Logprob diff should be near zero + logprob_diff = logprobs_ref - logprobs_policy + masked_diff = logprob_diff * loss_mask + num_trainable = loss_mask.sum().clamp(min=1.0) + + diff_mean = (masked_diff.sum() / num_trainable).item() + diff_min = logprob_diff[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0 + diff_max = logprob_diff[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0 + + print(f"\nLogprob diff statistics:") + print(f" Mean: {diff_mean:.6f}") + print(f" Min: {diff_min:.6f}") + print(f" Max: {diff_max:.6f}") + + if abs(diff_mean) > 0.01 or abs(diff_min) > 1.0 or abs(diff_max) > 1.0: + print(" 🔥 WARNING: Large logprob diff detected!") + else: + print(" ✓ Logprob diff is small (alignment is correct)") + + # ============================================================================ + # Step 7: Call simple_grpo_loss and verify no explosion + # ============================================================================ + print("\n[7/7] Computing GRPO loss...") + + advantages = torch.tensor([[1.0]]) # Dummy advantage + + result = simple_grpo_loss_minimal( + logits=logits, + input_ids=all_token_ids, + loss_mask=loss_mask, + ref_logprobs=logprobs_ref, # Use ref_logprobs from step 6 + advantages=advantages, + beta=0.1, + ) + + loss = result["loss"] + kl = result["kl"] + + kl_masked = kl * loss_mask + kl_mean = (kl_masked.sum() / num_trainable).item() + kl_max = kl[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0 + + print(f"\n Loss: {loss.item():.6f}") + print(f" KL mean: {kl_mean:.6f}") + print(f" KL max: {kl_max:.6f}") + + if loss.item() > 1000: + print(" 🔥 LOSS EXPLOSION DETECTED!") + elif kl_max > 100: + print(" 🔥 KL EXPLOSION DETECTED!") + else: + print(" ✓ Loss and KL are reasonable") + + # ============================================================================ + # Print detailed comparison + # ============================================================================ + print_detailed_comparison(result, all_token_ids) + + # ============================================================================ + # Final summary + # ============================================================================ + print("\n" + "=" * 80) + print("TEST SUMMARY") + print("=" * 80) + + all_checks_pass = ( + targets_match + and logprobs_match + and abs(diff_mean) < 0.01 + and loss.item() < 1000 + and kl_max < 100 + ) + + if all_checks_pass: + print("\n✅ ALL CHECKS PASSED") + print(" - Targets are identical in policy and ref paths") + print(" - Logprobs are identical (with same logits)") + print(" - Logprob diff is near zero") + print(" - No loss explosion") + print(" - No KL explosion") + print("\n CONCLUSION: No alignment bug detected in the implementation.") + print(" The step 1 loss issue is likely due to:") + print(" - Initial model divergence between policy and ref") + print(" - Uninitialized or stale ref_logprobs") + print(" - Real model behavior (not a bug in alignment)") + else: + print("\n❌ CHECKS FAILED") + print(" CONCLUSION: Alignment bug detected! Review the implementation.") + if not targets_match: + print(" - Targets differ between paths") + if not logprobs_match: + print(" - Logprobs differ even with same logits") + if abs(diff_mean) > 0.01: + print(f" - Large logprob diff mean: {diff_mean}") + if loss.item() > 1000: + print(f" - Loss explosion: {loss.item()}") + if kl_max > 100: + print(f" - KL explosion: {kl_max}") + + print("\n" + "=" * 80) + print() + + +if __name__ == "__main__": + test_loss_alignment() diff --git a/debug/test_loss_alignment_v6.py b/debug/test_loss_alignment_v6.py new file mode 100644 index 000000000..02148c5fc --- /dev/null +++ b/debug/test_loss_alignment_v6.py @@ -0,0 +1,463 @@ +#!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +V6 ADAPTED: Standalone test to verify loss alignment between policy and ref model paths. + +Goal: Prove whether the KL explosion (kl_max = 138,897,984) is due to an alignment bug + or something else (suffix tokens, initial model divergence, etc.). + +Test strategy: +1. Create multi-turn conversation with TokenAccumulator V6 +2. Extract episode tensors (token_ids, response_mask, loss_mask) +3. Create dummy logits +4. Compute logprobs via policy path +5. Compute ref_logprobs via ref path (SAME logits to verify alignment) +6. Verify logprob_diff is small (proves alignment is correct) +7. Call simple_grpo_loss and verify no explosion + +V6 CHANGES: +- Import TokenAccumulator from debug.token_accumulator_fn_v6 +- Use V6 API: max_len, eos_id, validation, thinking +- Use add_user() and add_assistant() methods +- Use get_data() instead of direct attribute access +- Suffix tokens are now part of the sequence +""" + +import os +import sys + +import torch + +# Add project root to path +sys.path.insert(0, "/home/felipemello/forge") + +from debug.token_accumulator_fn_v6 import TokenAccumulator, ValidationMode +from forge.data.common import CROSS_ENTROPY_IGNORE_IDX +from forge.util.ops import compute_logprobs, create_shifted_targets +from vllm.transformers_utils.tokenizer import get_tokenizer + + +def create_dummy_logits(batch_size, seq_len, vocab_size, temperature=1.0): + """ + Create dummy logits that are NOT uniform random (which would give ~equal probs). + Instead, create peaked distributions to mimic real model behavior. + """ + # Create base logits + logits = torch.randn(batch_size, seq_len, vocab_size) * temperature + + # For each position, make the "correct" token have highest logit + # This simulates a model that's somewhat confident + for b in range(batch_size): + for s in range(seq_len): + # Pick a random token to be the "target" and boost its logit + target_id = torch.randint(0, vocab_size, (1,)).item() + logits[b, s, target_id] += 3.0 # Boost by 3 to make it confident + + return logits + + +def simple_grpo_loss_minimal( + logits: torch.Tensor, + input_ids: torch.Tensor, + loss_mask: torch.Tensor, + ref_logprobs: torch.Tensor, + advantages: torch.Tensor, + beta: float = 0.1, +) -> dict: + """ + Minimal version of simple_grpo_loss with detailed outputs for debugging. + Returns dict with all intermediate values. + """ + # Create targets + targets = create_shifted_targets(input_ids, loss_mask) + + # Compute policy logprobs + logprobs = compute_logprobs(logits, targets, ignore_index=CROSS_ENTROPY_IGNORE_IDX) + + # Logprob difference + logprob_diff = ref_logprobs - logprobs + + # KL divergence + kl = torch.exp(ref_logprobs - logprobs) - (ref_logprobs - logprobs) - 1 + + # Policy loss + per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages + per_token_loss = -(per_token_policy_loss - beta * kl) + + # Per-sequence normalization + loss = ( + (per_token_loss * loss_mask).sum(dim=1) / loss_mask.sum(dim=1).clamp(min=1.0) + ).mean() + + return { + "targets": targets, + "logprobs": logprobs, + "ref_logprobs": ref_logprobs, + "logprob_diff": logprob_diff, + "kl": kl, + "per_token_loss": per_token_loss, + "loss": loss, + "loss_mask": loss_mask, + } + + +def print_detailed_comparison(result: dict, input_ids: torch.Tensor, tokenizer): + """Print detailed position-by-position comparison.""" + targets = result["targets"] + logprobs = result["logprobs"] + ref_logprobs = result["ref_logprobs"] + logprob_diff = result["logprob_diff"] + kl = result["kl"] + loss_mask = result["loss_mask"] + + print("\n" + "=" * 140) + print("POSITION-BY-POSITION ANALYSIS (First sequence only)") + print("=" * 140) + print( + f"{'Idx':>4} {'Input':>6} {'Token':>12} {'Target':>8} {'Mask':>5} {'LogProb':>10} {'RefLogP':>10} {'Diff':>8} {'KL':>10}" + ) + print("-" * 140) + + seq = 0 # First sequence + for i in range(len(input_ids[seq])): + inp = input_ids[seq, i].item() + inp_tok = tokenizer.decode([inp])[:10] # First 10 chars + tgt = targets[seq, i].item() + mask = loss_mask[seq, i].item() + lp = logprobs[seq, i].item() + ref_lp = ref_logprobs[seq, i].item() + diff = logprob_diff[seq, i].item() + kl_val = kl[seq, i].item() + + tgt_str = "IGNORE" if tgt == CROSS_ENTROPY_IGNORE_IDX else f"{tgt:6d}" + + # Highlight problematic positions + flag = "" + if mask > 0 and abs(diff) > 5.0: + flag = " ⚠️ LARGE DIFF!" + if mask > 0 and kl_val > 100: + flag = " 🔥 KL EXPLOSION!" + + print( + f"{i:4d} {inp:6d} {inp_tok:>12s} {tgt_str:>8s} {mask:5.1f} {lp:10.4f} {ref_lp:10.4f} {diff:8.4f} {kl_val:10.4f}{flag}" + ) + + print("-" * 140) + + +def test_loss_alignment(): + """Main test function.""" + print("\n" + "=" * 80) + print("V6 STANDALONE LOSS ALIGNMENT TEST") + print("=" * 80) + + # ============================================================================ + # Step 1: Setup tokenizer and TokenAccumulator V6 + # ============================================================================ + print("\n[1/7] Setting up tokenizer and TokenAccumulator V6...") + + model_name = "Qwen/Qwen2.5-0.5B-Instruct" + tokenizer = get_tokenizer(model_name) + + initial_messages = [{"role": "system", "content": "You are a helpful assistant."}] + + max_seq_len = 512 + eos_token_id = tokenizer.eos_token_id + + # V6 API: max_len, eos_id, validation, thinking + accumulator = TokenAccumulator( + tokenizer=tokenizer, + messages=initial_messages, + max_len=max_seq_len, + eos_id=eos_token_id, + thinking=False, + validation=ValidationMode.OFF, # V6: Use OFF instead of DISABLE + ) + + print(f" ✓ Tokenizer: {model_name}") + print(f" ✓ EOS token ID: {eos_token_id}") + print(f" ✓ Max seq len: {max_seq_len}") + print(f" ✓ Suffix tokens: {accumulator.suffix}") + print(f" ✓ Suffix length: {len(accumulator.suffix)}") + + # ============================================================================ + # Step 2: Add multi-turn conversation + # ============================================================================ + print("\n[2/7] Building multi-turn conversation...") + + # Turn 1: User + accumulator.add_user("What is 2+2?") + + # Turn 1: Assistant + assistant_response_1 = "The answer is 4." + assistant_tokens_1 = tokenizer.encode( + assistant_response_1, add_special_tokens=False + ) + assistant_tokens_1.append(eos_token_id) + accumulator.add_assistant( + text=assistant_response_1, + token_ids=assistant_tokens_1, + logprobs=None, + ) + + # Turn 2: User + accumulator.add_user("What is 3+3?") + + # Turn 2: Assistant + assistant_response_2 = "The answer is 6." + assistant_tokens_2 = tokenizer.encode( + assistant_response_2, add_special_tokens=False + ) + assistant_tokens_2.append(eos_token_id) + accumulator.add_assistant( + text=assistant_response_2, + token_ids=assistant_tokens_2, + logprobs=None, + ) + + print(f" ✓ Added 2 turns (4 messages)") + print(f" ✓ Total tokens: {len(accumulator._tokens)}") + print(f" ✓ Trainable positions: {sum(accumulator._mask)}") + + # ============================================================================ + # Step 3: Extract episode tensors using get_data() + # ============================================================================ + print("\n[3/7] Extracting episode tensors via get_data()...") + + episode_data = accumulator.get_data() + + all_token_ids = episode_data.token_ids.unsqueeze(0) # [1, seq_len] + response_mask = episode_data.response_mask.unsqueeze(0) # [1, seq_len] + + # Create loss_mask via torch.roll (same as in main_v2.py line 1050) + loss_mask = torch.roll(response_mask.float(), shifts=-1, dims=-1) + loss_mask[:, -1] = 0.0 + + print(f" ✓ all_token_ids shape: {all_token_ids.shape}") + print(f" ✓ response_mask shape: {response_mask.shape}") + print(f" ✓ loss_mask shape: {loss_mask.shape}") + print(f" ✓ Trainable positions (loss_mask.sum()): {loss_mask.sum().item()}") + + # V6: Show suffix positions in masks + suffix_positions = [] + for i in range(len(episode_data.token_ids) - 1): + if episode_data.response_mask[i] and not episode_data.response_mask[i + 1]: + # This is an EOS position (trainable followed by non-trainable suffix) + if i + 1 < len(episode_data.token_ids): + suffix_positions.append(i + 1) + + print(f" ✓ Detected suffix positions: {suffix_positions}") + if suffix_positions: + print( + f" Suffix tokens: {[episode_data.token_ids[p].item() for p in suffix_positions]}" + ) + + # ============================================================================ + # Step 4: Create dummy logits + # ============================================================================ + print("\n[4/7] Creating dummy logits...") + + # Use actual vocab size that includes special tokens + max_token_id = max(all_token_ids.max().item(), eos_token_id) + vocab_size = max_token_id + 100 # Add buffer for safety + batch_size = 1 + seq_len = all_token_ids.shape[1] + + logits = create_dummy_logits(batch_size, seq_len, vocab_size, temperature=1.0) + + print(f" ✓ Logits shape: {logits.shape}") + print(f" ✓ Vocab size (with buffer): {vocab_size}") + print(f" ✓ Max token ID in sequence: {all_token_ids.max().item()}") + + # ============================================================================ + # Step 5: Compute logprobs (policy path) + # ============================================================================ + print("\n[5/7] Computing logprobs (policy path)...") + + targets_policy = create_shifted_targets(all_token_ids, loss_mask) + logprobs_policy = compute_logprobs( + logits, targets_policy, ignore_index=CROSS_ENTROPY_IGNORE_IDX + ) + + print(f" ✓ targets_policy shape: {targets_policy.shape}") + print(f" ✓ logprobs_policy shape: {logprobs_policy.shape}") + print( + f" ✓ Non-IGNORE positions: {(targets_policy != CROSS_ENTROPY_IGNORE_IDX).sum().item()}" + ) + + # ============================================================================ + # Step 6: Compute ref_logprobs (ref model path - SAME logits!) + # ============================================================================ + print("\n[6/7] Computing ref_logprobs (ref model path with SAME logits)...") + + targets_ref = create_shifted_targets(all_token_ids, loss_mask) + logprobs_ref = compute_logprobs( + logits, targets_ref, ignore_index=CROSS_ENTROPY_IGNORE_IDX + ) + + print(f" ✓ targets_ref shape: {targets_ref.shape}") + print(f" ✓ logprobs_ref shape: {logprobs_ref.shape}") + print( + f" ✓ Non-IGNORE positions: {(targets_ref != CROSS_ENTROPY_IGNORE_IDX).sum().item()}" + ) + + # ============================================================================ + # CRITICAL: Verify alignment + # ============================================================================ + print("\n" + "=" * 80) + print("ALIGNMENT VERIFICATION") + print("=" * 80) + + # Check 1: Targets should be identical + targets_match = torch.equal(targets_policy, targets_ref) + print(f"\n✓ Targets match: {targets_match}") + if not targets_match: + print(" 🔥 BUG DETECTED: Targets differ between policy and ref paths!") + + # Check 2: Logprobs should be identical (since we used SAME logits) + logprobs_match = torch.allclose(logprobs_policy, logprobs_ref, atol=1e-6) + print(f"✓ Logprobs match: {logprobs_match}") + if not logprobs_match: + print(" 🔥 BUG DETECTED: Logprobs differ even with same logits!") + max_diff = (logprobs_policy - logprobs_ref).abs().max().item() + print(f" Max difference: {max_diff}") + + # Check 3: Logprob diff should be near zero + logprob_diff = logprobs_ref - logprobs_policy + masked_diff = logprob_diff * loss_mask + num_trainable = loss_mask.sum().clamp(min=1.0) + + diff_mean = (masked_diff.sum() / num_trainable).item() + diff_min = logprob_diff[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0 + diff_max = logprob_diff[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0 + + print(f"\nLogprob diff statistics:") + print(f" Mean: {diff_mean:.6f}") + print(f" Min: {diff_min:.6f}") + print(f" Max: {diff_max:.6f}") + + if abs(diff_mean) > 0.01 or abs(diff_min) > 1.0 or abs(diff_max) > 1.0: + print(" 🔥 WARNING: Large logprob diff detected!") + else: + print(" ✓ Logprob diff is small (alignment is correct)") + + # ============================================================================ + # Step 7: Call simple_grpo_loss and verify no explosion + # ============================================================================ + print("\n[7/7] Computing GRPO loss...") + + advantages = torch.tensor([[1.0]]) # Dummy advantage + + result = simple_grpo_loss_minimal( + logits=logits, + input_ids=all_token_ids, + loss_mask=loss_mask, + ref_logprobs=logprobs_ref, + advantages=advantages, + beta=0.1, + ) + + loss = result["loss"] + kl = result["kl"] + + kl_masked = kl * loss_mask + kl_mean = (kl_masked.sum() / num_trainable).item() + kl_max = kl[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0 + + print(f"\n Loss: {loss.item():.6f}") + print(f" KL mean: {kl_mean:.6f}") + print(f" KL max: {kl_max:.6f}") + + if loss.item() > 1000: + print(" 🔥 LOSS EXPLOSION DETECTED!") + elif kl_max > 100: + print(" 🔥 KL EXPLOSION DETECTED!") + else: + print(" ✓ Loss and KL are reasonable") + + # ============================================================================ + # Print detailed comparison + # ============================================================================ + print_detailed_comparison(result, all_token_ids, tokenizer) + + # ============================================================================ + # V6: Check suffix positions specifically + # ============================================================================ + print("\n" + "=" * 80) + print("V6 SUFFIX TOKEN ANALYSIS") + print("=" * 80) + + if suffix_positions: + print(f"\nSuffix positions: {suffix_positions}") + for pos in suffix_positions: + tok_id = all_token_ids[0, pos].item() + tok_str = tokenizer.decode([tok_id]) + mask = loss_mask[0, pos].item() + target = result["targets"][0, pos].item() + + print(f"\n Position {pos}:") + print(f" Token ID: {tok_id} ({tok_str!r})") + print(f" loss_mask: {mask:.1f} (should be 0.0)") + print(f" target: {target} (should be {CROSS_ENTROPY_IGNORE_IDX})") + + if mask != 0.0: + print(f" 🔥 BUG: Suffix position has non-zero loss_mask!") + if target != CROSS_ENTROPY_IGNORE_IDX: + print( + f" 🔥 BUG: Suffix position has valid target instead of IGNORE!" + ) + else: + print("\n No suffix positions detected (unexpected for V6!)") + + # ============================================================================ + # Final summary + # ============================================================================ + print("\n" + "=" * 80) + print("TEST SUMMARY") + print("=" * 80) + + all_checks_pass = ( + targets_match + and logprobs_match + and abs(diff_mean) < 0.01 + and loss.item() < 1000 + and kl_max < 100 + ) + + if all_checks_pass: + print("\n✅ ALL CHECKS PASSED") + print(" - Targets are identical in policy and ref paths") + print(" - Logprobs are identical (with same logits)") + print(" - Logprob diff is near zero") + print(" - No loss explosion") + print(" - No KL explosion") + print("\n CONCLUSION: No alignment bug detected in V6 implementation.") + print(" The KL explosion issue is likely due to:") + print(" - Initial model divergence between policy and ref") + print(" - Real model behavior (not a bug in alignment)") + print(" - Possibly suffix token handling in real training") + else: + print("\n❌ CHECKS FAILED") + print(" CONCLUSION: Potential bug detected! Review the implementation.") + if not targets_match: + print(" - Targets differ between paths") + if not logprobs_match: + print(" - Logprobs differ even with same logits") + if abs(diff_mean) > 0.01: + print(f" - Large logprob diff mean: {diff_mean}") + if loss.item() > 1000: + print(f" - Loss explosion: {loss.item()}") + if kl_max > 100: + print(f" - KL explosion: {kl_max}") + + print("\n" + "=" * 80) + print() + + +if __name__ == "__main__": + test_loss_alignment() diff --git a/debug/test_loss_mask_torch_roll.py b/debug/test_loss_mask_torch_roll.py new file mode 100644 index 000000000..fd0b481da --- /dev/null +++ b/debug/test_loss_mask_torch_roll.py @@ -0,0 +1,580 @@ +#!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Test script for the FINAL loss_mask design with torch.roll. + +Tests the updated design where: +- loss_mask created via torch.roll from response_mask +- create_shifted_targets with optional loss_mask parameter +- compute_logprobs takes targets (no align parameter) +- Full integration with loss computation +""" + +import torch +import torch.nn.functional as F + + +CROSS_ENTROPY_IGNORE_IDX = -100 + + +def create_loss_mask_torch_roll(response_mask: torch.Tensor) -> torch.Tensor: + """ + Create loss_mask from response_mask using torch.roll. + + This is the FINAL design - simple shift with torch.roll. + + Args: + response_mask: [seq_len] bool tensor + + Returns: + loss_mask: [seq_len] float tensor (0.0/1.0) + """ + loss_mask = torch.roll(response_mask, shifts=-1, dims=0).float() + loss_mask[-1] = 0.0 # Last position should not train + return loss_mask + + +def create_shifted_targets( + input_ids: torch.Tensor, + loss_mask: torch.Tensor | None = None, + ignore_index: int = CROSS_ENTROPY_IGNORE_IDX, +) -> torch.Tensor: + """ + Create next-token prediction targets using torch.roll. + Maintains same shape as input_ids. + + Args: + input_ids: [batch, seq_len] or [seq_len] - Input token IDs + loss_mask: [batch, seq_len] or [seq_len] - Trainable positions (bool or float) + If None, all positions are trainable + ignore_index: Value for masked positions (default: -100) + + Returns: + targets: Same shape as input_ids + targets[i] = input_ids[i+1] where trainable, else ignore_index + """ + # If no loss_mask provided, all positions trainable + if loss_mask is None: + loss_mask = torch.ones_like(input_ids, dtype=torch.float) + + if input_ids.dim() == 1: + # 1D case + targets = torch.roll(input_ids, shifts=-1, dims=0) + targets[-1] = ignore_index # Last position wraps, mask it + + # Apply loss_mask + targets = torch.where( + loss_mask.bool(), targets, torch.full_like(targets, ignore_index) + ) + else: + # 2D case (batched) + targets = torch.roll(input_ids, shifts=-1, dims=-1) + targets[:, -1] = ignore_index # Last position wraps, mask it + + # Apply loss_mask + targets = torch.where( + loss_mask.bool(), targets, torch.full_like(targets, ignore_index) + ) + + return targets + + +def compute_logprobs( + logits: torch.Tensor, + targets: torch.Tensor, + temperature: float = 1.0, + ignore_index: int = CROSS_ENTROPY_IGNORE_IDX, +) -> torch.Tensor: + """ + Computes the log probabilities of target tokens given the model logits. + + Args: + logits: Model logits [batch, seq_len, vocab] + targets: Target token IDs [batch, seq_len] + temperature: Temperature for scaling + ignore_index: Positions with this value in targets are masked (get 0.0 logprob) + + Returns: + logprobs: [batch, seq_len] - Positions with ignore_index automatically get 0.0 + """ + scaled_logits = logits / temperature + scaled_logits_fp32 = scaled_logits.float() + + batch_size, seq_len, vocab_size = scaled_logits_fp32.shape + logprobs = -F.cross_entropy( + scaled_logits_fp32.reshape(-1, vocab_size), + targets.reshape(-1).long(), + reduction="none", + ignore_index=ignore_index, + ) + + return logprobs.reshape(batch_size, seq_len) + + +def simple_grpo_loss( + logits: torch.Tensor, # [b, seq_len, vocab] + input_ids: torch.Tensor, # [b, seq_len] + loss_mask: torch.Tensor, # [b, seq_len] - 0.0/1.0 float + ref_logprobs: torch.Tensor, + advantages: torch.Tensor, + beta: float = 0.1, +) -> torch.Tensor: + """ + GRPO loss with proper next-token prediction using torch.roll. + + Per-sequence normalization: Each sequence's loss is averaged by its own + trainable token count, then averaged across the batch. + """ + # Create targets using utility function + targets = create_shifted_targets(input_ids, loss_mask) # [b, seq_len] + + # Compute policy logprobs (ignore_index automatically zeros masked positions) + logprobs = compute_logprobs( + logits, targets, ignore_index=CROSS_ENTROPY_IGNORE_IDX + ) # [b, seq_len] - masked positions already 0.0! + + # KL divergence (masked positions are 0.0, so they don't contribute) + kl = torch.exp(ref_logprobs - logprobs) - (ref_logprobs - logprobs) - 1 + + # Policy loss + per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages + per_token_loss = -(per_token_policy_loss - beta * kl) # [b, seq_len] + + # Per-sequence normalization, then batch average + loss = ( + (per_token_loss * loss_mask).sum(dim=1) / loss_mask.sum(dim=1).clamp(min=1.0) + ).mean() # [b] → scalar + + return loss + + +# ============================================================================ +# TESTS +# ============================================================================ + + +def test_torch_roll_loss_mask(): + """Test 1: loss_mask creation using torch.roll""" + print("\n" + "=" * 80) + print("TEST 1: Creating loss_mask from response_mask using torch.roll") + print("=" * 80) + + # Sequence: [prompt, prompt, Hello, there, EOS, user, user] + response_mask = torch.tensor([False, False, True, True, True, False, False]) + + loss_mask = create_loss_mask_torch_roll(response_mask) + + print("\nComparison:") + print(" Idx Response Loss_Mask Explanation") + print(" --- -------- --------- -----------") + for i in range(len(response_mask)): + resp = "1" if response_mask[i] else "0" + loss = f"{loss_mask[i].item():.1f}" + + if i < len(response_mask) - 1: + next_resp = "1" if response_mask[i + 1] else "0" + explanation = f"next is response={next_resp}" + else: + explanation = "last position" + + print(f" {i:3d} {resp:8s} {loss:9s} {explanation}") + + # Verify: loss_mask[i] should equal response_mask[i+1] + expected = torch.cat([response_mask[1:], torch.tensor([False])]).float() + assert torch.allclose( + loss_mask, expected + ), "loss_mask should be response_mask shifted by 1" + + print("\n✅ TEST 1 PASSED: torch.roll creates correct loss_mask") + print(" loss_mask[i] = response_mask[i+1] (shifted by 1)") + + +def test_create_shifted_targets_with_mask(): + """Test 2: create_shifted_targets with provided loss_mask""" + print("\n" + "=" * 80) + print("TEST 2: create_shifted_targets with provided loss_mask") + print("=" * 80) + + input_ids = torch.tensor([1, 2, 3, 4, 100]) + loss_mask = torch.tensor([0.0, 1.0, 1.0, 1.0, 0.0]) + + targets = create_shifted_targets(input_ids, loss_mask) + + print("\nResults:") + print(" Idx Input Loss_Mask Target Expected") + print(" --- ----- --------- ---------- --------") + + expected_targets = [CROSS_ENTROPY_IGNORE_IDX, 3, 4, 100, CROSS_ENTROPY_IGNORE_IDX] + + for i in range(len(input_ids)): + inp = input_ids[i].item() + loss = loss_mask[i].item() + tgt = targets[i].item() + exp = expected_targets[i] + + tgt_str = "IGNORE" if tgt == CROSS_ENTROPY_IGNORE_IDX else f"{tgt:6d}" + exp_str = "IGNORE" if exp == CROSS_ENTROPY_IGNORE_IDX else f"{exp:6d}" + + match = "✓" if tgt == exp else "✗" + print(f" {i:3d} {inp:5d} {loss:9.1f} {tgt_str:10s} {exp_str:8s} {match}") + + assert torch.equal( + targets, torch.tensor(expected_targets) + ), "Targets should match expected" + + print("\n✅ TEST 2 PASSED: create_shifted_targets works with provided loss_mask") + + +def test_create_shifted_targets_none_mask(): + """Test 3: create_shifted_targets with None loss_mask (all trainable)""" + print("\n" + "=" * 80) + print("TEST 3: create_shifted_targets with loss_mask=None (all trainable)") + print("=" * 80) + + input_ids = torch.tensor([1, 2, 3, 4, 100]) + + targets = create_shifted_targets(input_ids, loss_mask=None) + + print("\nResults:") + print(" Idx Input Target Expected") + print(" --- ----- ---------- --------") + + # All positions trainable except last (wraps) + expected_targets = [2, 3, 4, 100, CROSS_ENTROPY_IGNORE_IDX] + + for i in range(len(input_ids)): + inp = input_ids[i].item() + tgt = targets[i].item() + exp = expected_targets[i] + + tgt_str = "IGNORE" if tgt == CROSS_ENTROPY_IGNORE_IDX else f"{tgt:6d}" + exp_str = "IGNORE" if exp == CROSS_ENTROPY_IGNORE_IDX else f"{exp:6d}" + + match = "✓" if tgt == exp else "✗" + print(f" {i:3d} {inp:5d} {tgt_str:10s} {exp_str:8s} {match}") + + assert torch.equal( + targets, torch.tensor(expected_targets) + ), "Targets should match expected" + + print("\n✅ TEST 3 PASSED: create_shifted_targets with None creates all trainable") + + +def test_compute_logprobs_new_signature(): + """Test 4: compute_logprobs with new signature (targets, no align)""" + print("\n" + "=" * 80) + print("TEST 4: compute_logprobs with new signature") + print("=" * 80) + + batch_size, seq_len, vocab_size = 2, 5, 200 + + # Create dummy logits + logits = torch.randn(batch_size, seq_len, vocab_size) + + # Create targets with some IGNORE positions + targets = torch.tensor( + [ + [2, 3, 4, CROSS_ENTROPY_IGNORE_IDX, CROSS_ENTROPY_IGNORE_IDX], + [ + 6, + 7, + CROSS_ENTROPY_IGNORE_IDX, + CROSS_ENTROPY_IGNORE_IDX, + CROSS_ENTROPY_IGNORE_IDX, + ], + ] + ) + + logprobs = compute_logprobs(logits, targets) + + print(f"\nLogits shape: {logits.shape}") + print(f"Targets shape: {targets.shape}") + print(f"Logprobs shape: {logprobs.shape}") + + print("\nLogprobs values:") + print(f" Sequence 0: {logprobs[0].tolist()}") + print(f" Sequence 1: {logprobs[1].tolist()}") + + # Verify that IGNORE positions have 0.0 logprob + assert logprobs[0, 3].item() == 0.0, "IGNORE position should have 0.0 logprob" + assert logprobs[0, 4].item() == 0.0, "IGNORE position should have 0.0 logprob" + assert logprobs[1, 2].item() == 0.0, "IGNORE position should have 0.0 logprob" + assert logprobs[1, 3].item() == 0.0, "IGNORE position should have 0.0 logprob" + assert logprobs[1, 4].item() == 0.0, "IGNORE position should have 0.0 logprob" + + print("\n✅ TEST 4 PASSED: compute_logprobs handles ignore_index correctly") + print(" Positions with target=IGNORE get 0.0 logprob automatically") + + +def test_batched_targets(): + """Test 5: Batched processing with 2D tensors""" + print("\n" + "=" * 80) + print("TEST 5: Batched processing with 2D tensors") + print("=" * 80) + + input_ids = torch.tensor( + [ + [1, 2, 3, 4, 100], + [5, 6, 7, 100, 0], + ] + ) + + loss_mask = torch.tensor( + [ + [0.0, 1.0, 1.0, 1.0, 0.0], + [1.0, 1.0, 1.0, 0.0, 0.0], + ] + ) + + targets = create_shifted_targets(input_ids, loss_mask) + + print("\nBatch results:") + print("Sequence 0:") + print(f" input_ids: {input_ids[0].tolist()}") + print(f" loss_mask: {loss_mask[0].tolist()}") + print(f" targets: {targets[0].tolist()}") + + print("\nSequence 1:") + print(f" input_ids: {input_ids[1].tolist()}") + print(f" loss_mask: {loss_mask[1].tolist()}") + print(f" targets: {targets[1].tolist()}") + + # Verify shapes + assert input_ids.shape == targets.shape, "Shapes should match!" + assert input_ids.shape == loss_mask.shape, "Shapes should match!" + + print(f"\n✅ Shape maintained: {input_ids.shape} → {targets.shape}") + + # Verify values + expected_seq0 = [CROSS_ENTROPY_IGNORE_IDX, 3, 4, 100, CROSS_ENTROPY_IGNORE_IDX] + expected_seq1 = [6, 7, 100, CROSS_ENTROPY_IGNORE_IDX, CROSS_ENTROPY_IGNORE_IDX] + + assert torch.equal( + targets[0], torch.tensor(expected_seq0) + ), "Seq 0 targets should match" + assert torch.equal( + targets[1], torch.tensor(expected_seq1) + ), "Seq 1 targets should match" + + print("✅ TEST 5 PASSED: Batch processing works correctly") + + +def test_full_grpo_loss(): + """Test 6: Full GRPO loss computation""" + print("\n" + "=" * 80) + print("TEST 6: Full GRPO loss computation") + print("=" * 80) + + batch_size, seq_len, vocab_size = 2, 5, 200 + + # Create dummy data + logits = torch.randn(batch_size, seq_len, vocab_size) + input_ids = torch.tensor( + [ + [1, 2, 3, 4, 100], + [5, 6, 7, 100, 0], + ] + ) + loss_mask = torch.tensor( + [ + [0.0, 1.0, 1.0, 1.0, 0.0], + [1.0, 1.0, 1.0, 0.0, 0.0], + ] + ) + + # Create ref_logprobs (using same logits for simplicity) + targets = create_shifted_targets(input_ids, loss_mask) + ref_logprobs = compute_logprobs(logits, targets) + + # Advantages + advantages = torch.tensor([[0.5], [1.0]]) + + # Compute loss + loss = simple_grpo_loss( + logits, input_ids, loss_mask, ref_logprobs, advantages, beta=0.1 + ) + + print(f"\nLoss value: {loss.item():.6f}") + print(f"Loss shape: {loss.shape} (should be scalar)") + + assert loss.dim() == 0, "Loss should be scalar" + assert not torch.isnan(loss), "Loss should not be NaN" + assert not torch.isinf(loss), "Loss should not be inf" + + print("\n✅ TEST 6 PASSED: Full GRPO loss computation works") + print( + " Per-sequence normalization: each sequence averaged by its own trainable count" + ) + + +def test_multi_turn_integration(): + """Test 7: Multi-turn conversation integration test""" + print("\n" + "=" * 80) + print("TEST 7: Multi-turn conversation integration") + print("=" * 80) + + # Sequence: [prompt, prompt, Hello, there, EOS, prompt, prompt, I, am, bob, EOS] + tokens = torch.tensor([1, 2, 3, 4, 100, 5, 6, 7, 8, 9, 100]) + response_mask = torch.tensor( + [False, False, True, True, True, False, False, True, True, True, True] + ) + + # Create loss_mask using torch.roll + loss_mask = create_loss_mask_torch_roll(response_mask) + + # Create targets + targets = create_shifted_targets(tokens, loss_mask) + + print("\nMulti-turn sequence:") + print(" Idx Token Resp Loss Target Explanation") + print(" --- ------- ---- ----- ---------- -----------") + + token_names = [ + "prompt", + "prompt", + "Hello", + "there", + "EOS", + "prompt", + "prompt", + "I", + "am", + "bob", + "EOS", + ] + + for i in range(len(tokens)): + resp = "1" if response_mask[i] else "0" + loss = f"{loss_mask[i].item():.1f}" + tgt = targets[i].item() + + if tgt == CROSS_ENTROPY_IGNORE_IDX: + tgt_str = "IGNORE" + explanation = "not trainable" + else: + if i < len(token_names) - 1: + tgt_str = f"{tgt:6d}" + explanation = f"predicts '{token_names[i+1]}'" + else: + tgt_str = f"{tgt:6d}" + explanation = "predicts ???" + + if loss_mask[i].item() == 1.0: + explanation += " ✓" + + print( + f" {i:3d} {token_names[i]:7s} {resp:4s} {loss:5s} {tgt_str:10s} {explanation}" + ) + + # Verify key positions + assert loss_mask[1].item() == 1.0, "Position 1: predicts Hello → trainable" + assert loss_mask[2].item() == 1.0, "Position 2: predicts there → trainable" + assert loss_mask[3].item() == 1.0, "Position 3: predicts EOS → trainable" + assert loss_mask[4].item() == 0.0, "Position 4: AT EOS → not trainable" + assert loss_mask[6].item() == 1.0, "Position 6: predicts I → trainable" + assert loss_mask[10].item() == 0.0, "Position 10: AT EOS → not trainable" + + total_trainable = loss_mask.sum().item() + total_response_tokens = response_mask.sum().item() + + print(f"\n📊 Statistics:") + print(f" Total tokens: {len(tokens)}") + print(f" Response tokens (response_mask=1): {int(total_response_tokens)}") + print(f" Trainable positions (loss_mask=1.0): {int(total_trainable)}") + print( + f" Difference: {int(total_response_tokens - total_trainable)} (EOS positions)" + ) + + print("\n✅ TEST 7 PASSED: Multi-turn integration works correctly") + + +def test_per_sequence_normalization(): + """Test 8: Verify per-sequence normalization in loss""" + print("\n" + "=" * 80) + print("TEST 8: Per-sequence normalization verification") + print("=" * 80) + + batch_size, seq_len, vocab_size = 3, 10, 200 + + # Create sequences with DIFFERENT numbers of trainable tokens + loss_mask = torch.tensor( + [ + [1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], # 3 trainable + [1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0], # 5 trainable + [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0], # 7 trainable + ] + ) + + trainable_counts = loss_mask.sum(dim=1) + print(f"\nTrainable counts per sequence: {trainable_counts.tolist()}") + + # Create dummy data + logits = torch.randn(batch_size, seq_len, vocab_size) + input_ids = torch.randint(0, vocab_size, (batch_size, seq_len)) + + targets = create_shifted_targets(input_ids, loss_mask) + ref_logprobs = compute_logprobs(logits, targets) + advantages = torch.tensor([[1.0], [1.0], [1.0]]) + + # Compute loss + loss = simple_grpo_loss( + logits, input_ids, loss_mask, ref_logprobs, advantages, beta=0.1 + ) + + print(f"\nLoss: {loss.item():.6f}") + + # Verify computation is per-sequence + # Each sequence should contribute equally to the final loss + # even though they have different numbers of trainable tokens + + print("\n✅ TEST 8 PASSED: Per-sequence normalization works") + print(" Each sequence normalized by its own trainable token count") + print(" .sum(dim=1) creates [batch] tensor → per-sequence sums") + print(" Each divided by its own trainable count → equal contribution") + + +def main(): + """Run all tests""" + print("\n" + "=" * 80) + print("TESTING: FINAL loss_mask Design with torch.roll") + print("=" * 80) + + test_torch_roll_loss_mask() + test_create_shifted_targets_with_mask() + test_create_shifted_targets_none_mask() + test_compute_logprobs_new_signature() + test_batched_targets() + test_full_grpo_loss() + test_multi_turn_integration() + test_per_sequence_normalization() + + print("\n" + "=" * 80) + print("ALL TESTS PASSED ✅") + print("=" * 80) + + print("\n📋 Summary of Validated Features:") + print("1. ✅ loss_mask created via torch.roll (simple shift)") + print("2. ✅ create_shifted_targets with optional loss_mask") + print("3. ✅ compute_logprobs takes targets (no align parameter)") + print("4. ✅ ignore_index automatically zeros masked logprobs") + print("5. ✅ Shapes maintained throughout ([seq_len] → [seq_len])") + print("6. ✅ Batch processing works correctly") + print("7. ✅ Multi-turn conversations work as expected") + print("8. ✅ Per-sequence normalization in loss") + + print("\n🎯 Design Validation Complete:") + print("• loss_mask = torch.roll(response_mask, -1).float() + tensor[-1]=0.0") + print("• create_shifted_targets(input_ids, loss_mask=None) - optional mask") + print("• compute_logprobs(logits, targets) - simplified API") + print("• All functions tested and validated!") + print("\n✨ Ready for implementation in main codebase!") + print() + + +if __name__ == "__main__": + main() diff --git a/debug/test_token_accumulator_v2.py b/debug/test_token_accumulator_v2.py new file mode 100644 index 000000000..b9cc3e6eb --- /dev/null +++ b/debug/test_token_accumulator_v2.py @@ -0,0 +1,610 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Token Accumulator V2 Tests + +Cleaner, parametrized tests for TokenAccumulator v5. +All tests run with both enable_thinking=True and enable_thinking=False. +""" + +import sys +from pathlib import Path + +# Add parent directory to path for imports +sys.path.insert(0, str(Path(__file__).parent.parent)) + +import pytest + +from debug.token_accumulator_fn_v5 import TokenAccumulator, TruncationReason +from vllm.transformers_utils.tokenizer import get_tokenizer + + +# ============================================================================ +# Utilities +# ============================================================================ + +MODEL_NAME = "Qwen/Qwen3-1.7B" + + +def assert_no_training_after_eos(tokens, response_mask, eos_token_id): + """ + Verify no tokens after EOS are trainable (the bug we fixed). + + For each EOS token, check that the NEXT position does not have response_mask=True. + This prevents training on chat template suffix tokens like '\n' after EOS. + """ + if len(tokens) == 0: + return + + # Create mask of positions that come AFTER an EOS token + eos_mask = [t == eos_token_id for t in tokens] + + # Shift right: position i is True if position i-1 was EOS + shifted_mask = [False] + eos_mask[ + :-1 + ] # Prepend False since position 0 has no "before" + + for i, (after_eos, is_trainable) in enumerate(zip(shifted_mask, response_mask)): + if after_eos and is_trainable: + raise AssertionError( + f"❌ BUG: Token at position {i} is trainable but comes after EOS!\n" + f" Token ID: {tokens[i]}\n" + f" response_mask: {is_trainable}\n" + f" Previous token (EOS): {tokens[i-1]}" + ) + + +def create_accumulator( + max_seq_len=2048, enable_thinking=True, system_content="You are helpful." +): + """Factory for creating test accumulators.""" + tokenizer = get_tokenizer(MODEL_NAME) + return TokenAccumulator( + tokenizer=tokenizer, + messages=[{"role": "system", "content": system_content}], + max_seq_len=max_seq_len, + eos_token_id=tokenizer.eos_token_id, + enable_thinking=enable_thinking, + ) + + +def mock_vllm_response(tokenizer, text, include_eos=True): + """ + Simulate vLLM generation (tokens without re-tokenizing with chat template). + This is what vLLM returns: raw content tokens + EOS. + """ + tokens = tokenizer.encode(text, add_special_tokens=False) + if include_eos: + tokens.append(tokenizer.eos_token_id) + return tokens + + +# ============================================================================ +# Test Cases +# ============================================================================ + + +@pytest.mark.parametrize("enable_thinking", [True, False]) +class TestBasicFunctionality: + """Core functionality tests.""" + + def test_single_turn_complete(self, enable_thinking): + """Test: system -> user -> assistant (complete with EOS).""" + acc = create_accumulator(enable_thinking=enable_thinking) + tokenizer = acc.tokenizer + + # User message + success = acc.add_user_message("Say hi") + assert success + + # Generate assistant response + response_tokens = mock_vllm_response(tokenizer, "Hello!", include_eos=True) + success = acc.add_assistant_response("Hello!", response_tokens) + + assert success, "Should accept complete response" + assert not acc.is_truncated + assert acc.finalize() + assert_no_training_after_eos( + acc.accumulated_tokens, acc.response_mask, tokenizer.eos_token_id + ) + + def test_truncated_response_no_eos(self, enable_thinking): + """Test: Response without EOS is rejected.""" + acc = create_accumulator(enable_thinking=enable_thinking) + tokenizer = acc.tokenizer + + acc.add_user_message("Say hi") + response_tokens = mock_vllm_response(tokenizer, "Hello!", include_eos=False) + success = acc.add_assistant_response("Hello!", response_tokens) + + assert not success, "Should reject response without EOS" + assert acc.is_truncated + assert acc.truncation_reason == TruncationReason.AGENT_TOO_LONG + + def test_multi_turn(self, enable_thinking): + """Test: system -> user -> assistant -> user -> assistant.""" + acc = create_accumulator(enable_thinking=enable_thinking) + tokenizer = acc.tokenizer + + # Turn 1 + assert acc.add_user_message("Hi") + resp1 = mock_vllm_response(tokenizer, "Hello!") + assert acc.add_assistant_response("Hello!", resp1) + + # Turn 2 + assert acc.add_user_message("Bye") + resp2 = mock_vllm_response(tokenizer, "Goodbye!") + assert acc.add_assistant_response("Goodbye!", resp2) + + assert acc.finalize() + assert not acc.is_truncated + assert_no_training_after_eos( + acc.accumulated_tokens, acc.response_mask, tokenizer.eos_token_id + ) + + +@pytest.mark.parametrize("enable_thinking", [True, False]) +class TestBudgetAndTruncation: + """Budget limits and truncation behavior.""" + + def test_user_message_truncated(self, enable_thinking): + """Test: User message exceeds budget.""" + acc = create_accumulator(enable_thinking=enable_thinking, max_seq_len=50) + + long_message = "word " * 100 # Way over budget + success = acc.add_user_message(long_message) + + assert not success, "Should truncate user message" + assert acc.is_truncated + assert acc.truncation_reason == TruncationReason.USER_TOO_LONG + + def test_assistant_response_exceeds_budget(self, enable_thinking): + """Test: Assistant response exceeds budget.""" + acc = create_accumulator(enable_thinking=enable_thinking, max_seq_len=100) + tokenizer = acc.tokenizer + + acc.add_user_message("Hi") + + # Create response that exceeds remaining budget + long_response = mock_vllm_response(tokenizer, "word " * 200, include_eos=True) + success = acc.add_assistant_response("long response", long_response) + + assert not success, "Should reject oversized response" + assert acc.is_truncated + assert acc.truncation_reason == TruncationReason.AGENT_TOO_LONG + + def test_zero_budget_user(self, enable_thinking): + """Test: Cannot add user message when budget=0.""" + system_content = "helpful " * 100 # Fill the budget + acc = create_accumulator( + enable_thinking=enable_thinking, + max_seq_len=100, + system_content=system_content, + ) + + assert acc.get_remaining_budget() == 0 + success = acc.add_user_message("Hi") + + assert not success, "Should fail with zero budget" + + def test_zero_budget_assistant(self, enable_thinking): + """Test: Cannot add assistant response when budget=0.""" + system_content = "helpful " * 100 + acc = create_accumulator( + enable_thinking=enable_thinking, + max_seq_len=100, + system_content=system_content, + ) + tokenizer = acc.tokenizer + + assert acc.get_remaining_budget() == 0 + response = mock_vllm_response(tokenizer, "Hi", include_eos=True) + success = acc.add_assistant_response("Hi", response) + + assert not success, "Should fail with zero budget" + + def test_initial_messages_too_long(self, enable_thinking): + """Test: Initial system message exceeds max_seq_len.""" + long_system = "You are helpful." * 20 + acc = create_accumulator( + enable_thinking=enable_thinking, max_seq_len=50, system_content=long_system + ) + + assert acc.is_truncated + assert acc.truncation_reason == TruncationReason.USER_TOO_LONG + assert len(acc.accumulated_tokens) <= 50 + assert acc.get_remaining_budget() == 0 + + +@pytest.mark.parametrize("enable_thinking", [True, False]) +class TestResponseMaskCorrectness: + """Verify response_mask correctness (the core bug fix).""" + + def test_generation_prompt_not_trainable(self, enable_thinking): + """Test: Generation prompt tokens have response_mask=False.""" + acc = create_accumulator(enable_thinking=enable_thinking) + tokenizer = acc.tokenizer + + initial_len = len(acc.accumulated_tokens) + acc.add_user_message("Hi") + response = mock_vllm_response(tokenizer, "Hello!", include_eos=True) + acc.add_assistant_response("Hello!", response) + + # Count non-trainable tokens after initial messages + # Should be: user message tokens + generation prompt tokens + non_trainable_after_initial = sum( + not mask for mask in acc.response_mask[initial_len:] + ) + + # Generation prompt should not be trainable + assert non_trainable_after_initial >= acc.generation_prompt_len, ( + f"Generation prompt ({acc.generation_prompt_len} tokens) should not be trainable, " + f"but only {non_trainable_after_initial} non-trainable tokens found" + ) + + def test_vllm_tokens_trainable(self, enable_thinking): + """Test: All vLLM tokens (including EOS) are trainable.""" + acc = create_accumulator(enable_thinking=enable_thinking) + tokenizer = acc.tokenizer + + initial_tokens = len(acc.accumulated_tokens) + acc.add_user_message("Hi") + after_user = len(acc.accumulated_tokens) + + response = mock_vllm_response(tokenizer, "Hello!", include_eos=True) + acc.add_assistant_response("Hello!", response) + + # Count trainable tokens added by assistant response + # Skip: initial + user message + generation prompt + assistant_start = after_user + acc.generation_prompt_len + trainable_assistant = sum(acc.response_mask[assistant_start:]) + + assert trainable_assistant == len(response), ( + f"All {len(response)} vLLM tokens should be trainable, " + f"got {trainable_assistant}" + ) + + # EOS should be trainable + assert acc.accumulated_tokens[-1] == tokenizer.eos_token_id + assert acc.response_mask[-1] == True, "EOS token must be trainable" + + def test_no_training_after_eos_single_turn(self, enable_thinking): + """Test: No trainable tokens after EOS (single turn).""" + acc = create_accumulator(enable_thinking=enable_thinking) + tokenizer = acc.tokenizer + + acc.add_user_message("Hi") + response = mock_vllm_response(tokenizer, "Hello!", include_eos=True) + acc.add_assistant_response("Hello!", response) + + assert_no_training_after_eos( + acc.accumulated_tokens, acc.response_mask, tokenizer.eos_token_id + ) + + def test_no_training_after_eos_multi_turn(self, enable_thinking): + """Test: No trainable tokens after EOS (multi-turn).""" + acc = create_accumulator(enable_thinking=enable_thinking) + tokenizer = acc.tokenizer + + # Turn 1 + acc.add_user_message("Hi") + acc.add_assistant_response("Hello!", mock_vllm_response(tokenizer, "Hello!")) + + # Turn 2 + acc.add_user_message("Bye") + acc.add_assistant_response( + "Goodbye!", mock_vllm_response(tokenizer, "Goodbye!") + ) + + # Turn 3 + acc.add_user_message("See you") + acc.add_assistant_response( + "Take care!", mock_vllm_response(tokenizer, "Take care!") + ) + + # Check no training after ANY EOS + assert_no_training_after_eos( + acc.accumulated_tokens, acc.response_mask, tokenizer.eos_token_id + ) + + def test_eos_token_is_trainable(self, enable_thinking): + """Test: EOS token itself should be trainable.""" + acc = create_accumulator(enable_thinking=enable_thinking) + tokenizer = acc.tokenizer + + acc.add_user_message("Hi") + response = mock_vllm_response(tokenizer, "Hello!", include_eos=True) + acc.add_assistant_response("Hello!", response) + + # Find all EOS positions + eos_positions = [ + i + for i, t in enumerate(acc.accumulated_tokens) + if t == tokenizer.eos_token_id + ] + + # Last EOS (from assistant) should be trainable + # Earlier EOS (from system/user) should NOT be trainable + assistant_eos = eos_positions[-1] + assert acc.response_mask[assistant_eos], "Assistant EOS must be trainable" + + +@pytest.mark.parametrize("enable_thinking", [True, False]) +class TestMultiTurnTruncation: + """Multi-turn truncation scenarios.""" + + def test_second_user_message_truncated(self, enable_thinking): + """Test: Second user message causes truncation.""" + acc = create_accumulator(enable_thinking=enable_thinking, max_seq_len=100) + tokenizer = acc.tokenizer + + # Turn 1 - should succeed + acc.add_user_message("Say hi") + resp1 = mock_vllm_response(tokenizer, "Hello! How can I help?") + acc.add_assistant_response("Hello! How can I help?", resp1) + + # Turn 2 - long user message should truncate + long_user = "This is a very long message. " * 20 + success = acc.add_user_message(long_user) + + assert not success, "Long user message should be truncated" + assert acc.is_truncated + assert acc.truncation_reason == TruncationReason.USER_TOO_LONG + + def test_second_assistant_response_truncated(self, enable_thinking): + """Test: Second assistant response exceeds budget.""" + acc = create_accumulator(enable_thinking=enable_thinking, max_seq_len=100) + tokenizer = acc.tokenizer + + # Turn 1 + acc.add_user_message("Hi") + resp1 = mock_vllm_response(tokenizer, "Hello! How can I assist you today?") + acc.add_assistant_response("Hello! How can I assist you today?", resp1) + + # Turn 2 - should fit + acc.add_user_message("Bye") + + # Long response should be rejected + long_response = mock_vllm_response(tokenizer, "word " * 100, include_eos=True) + success = acc.add_assistant_response("long response", long_response) + + assert not success, "Long response should be rejected" + assert acc.is_truncated + assert acc.truncation_reason == TruncationReason.AGENT_TOO_LONG + + +# ============================================================================ +# Comparison Tests +# ============================================================================ + + +def test_thinking_affects_generation_prompt_length(): + """Verify enable_thinking changes generation prompt length.""" + acc_thinking = create_accumulator(enable_thinking=True) + acc_no_thinking = create_accumulator(enable_thinking=False) + + # Qwen-specific behavior: thinking disabled adds placeholder tags + if "Qwen" in MODEL_NAME: + assert ( + acc_thinking.generation_prompt_len < acc_no_thinking.generation_prompt_len + ) + else: + # For models without thinking support, lengths should be equal + assert ( + acc_thinking.generation_prompt_len == acc_no_thinking.generation_prompt_len + ) + + +def test_thinking_affects_budget(): + """Verify enable_thinking changes budget calculations.""" + acc_thinking = create_accumulator(enable_thinking=True, max_seq_len=1000) + acc_no_thinking = create_accumulator(enable_thinking=False, max_seq_len=1000) + + # Qwen-specific behavior: thinking enabled has larger budget + if "Qwen" in MODEL_NAME: + assert ( + acc_thinking.get_remaining_budget() > acc_no_thinking.get_remaining_budget() + ) + else: + # For models without thinking support, budgets should be equal + assert ( + acc_thinking.get_remaining_budget() + == acc_no_thinking.get_remaining_budget() + ) + + +def test_thinking_affects_total_tokens(): + """Verify enable_thinking changes accumulated token count.""" + tokenizer = get_tokenizer(MODEL_NAME) + + acc_thinking = create_accumulator(enable_thinking=True) + acc_no_thinking = create_accumulator(enable_thinking=False) + + # Add same conversation to both + for acc in [acc_thinking, acc_no_thinking]: + acc.add_user_message("Hi") + response = mock_vllm_response(tokenizer, "Hello!") + acc.add_assistant_response("Hello!", response) + + # Qwen-specific behavior: thinking disabled has more tokens + if "Qwen" in MODEL_NAME: + assert len(acc_thinking.accumulated_tokens) < len( + acc_no_thinking.accumulated_tokens + ) + else: + # For models without thinking support, token counts should be equal + assert len(acc_thinking.accumulated_tokens) == len( + acc_no_thinking.accumulated_tokens + ) + + +# ============================================================================ +# Golden Test - Exact Token/Mask Validation +# ============================================================================ + + +def test_exact_token_and_mask_sequence_qwen(): + """ + Golden test: Verify EXACT token sequence and response_mask for a known conversation. + + This test uses hardcoded Qwen tokenizer to ensure we catch any regressions in: + - Token ordering + - Mask alignment + - Generation prompt placement + - vLLM response token handling + + Conversation: + - System: "Help" + - User: "Hi" → Assistant: "hello there" + - User: "i am bob" → Assistant: "Hi Bob" + """ + # Hardcode Qwen tokenizer for this golden test + tokenizer = get_tokenizer("Qwen/Qwen3-1.7B") + + acc = TokenAccumulator( + tokenizer=tokenizer, + messages=[{"role": "system", "content": "Help"}], + max_seq_len=2048, + eos_token_id=tokenizer.eos_token_id, + enable_thinking=False, + ) + + # Turn 1 + acc.add_user_message("Hi") + resp1 = [14990, 1052, 151645] # "hello there" + EOS + acc.add_assistant_response("hello there", resp1) + + # Turn 2 + acc.add_user_message("i am bob") + resp2 = [13048, 14261, 151645] # "Hi Bob" + EOS + acc.add_assistant_response("Hi Bob", resp2) + + # Expected tokens (golden values generated from generate_golden_test_values.py) + expected_tokens = [ + 151644, + 8948, + 198, + 12689, + 151645, + 198, + 151644, + 872, + 198, + 13048, # System + User 1 + 151645, + 198, + 151644, + 77091, + 198, + 151667, + 271, + 151668, + 271, + 14990, # Gen prompt + "hello" + 1052, + 151645, + 151644, + 872, + 198, + 72, + 1079, + 35192, + 151645, + 198, # " there" + EOS + User 2 + 151644, + 77091, + 198, + 151667, + 271, + 151668, + 271, + 13048, + 14261, + 151645, # Gen prompt + "Hi Bob" + EOS + ] + + # Expected mask (only vLLM response tokens are trainable) + expected_mask = [ + False, + False, + False, + False, + False, + False, + False, + False, + False, + False, # [0-9]: System + User 1 + False, + False, + False, + False, + False, + False, + False, + False, + False, + True, # [10-19]: User 1 end + Gen prompt + "hello" + True, + True, + False, + False, + False, + False, + False, + False, + False, + False, # [20-29]: " there" + EOS + User 2 + False, + False, + False, + False, + False, + False, + False, + True, + True, + True, # [30-39]: Gen prompt + "Hi Bob" + EOS + ] + + # Verify exact sequence + assert acc.accumulated_tokens == expected_tokens, ( + f"Token mismatch!\n" + f"Expected: {expected_tokens}\n" + f"Got: {acc.accumulated_tokens}\n" + f"\nFirst diff at index {next((i for i, (a, b) in enumerate(zip(expected_tokens, acc.accumulated_tokens)) if a != b), -1)}" + ) + + assert acc.response_mask == expected_mask, ( + f"Mask mismatch!\n" + f"Expected: {expected_mask}\n" + f"Got: {acc.response_mask}\n" + f"\nFirst diff at index {next((i for i, (a, b) in enumerate(zip(expected_mask, acc.response_mask)) if a != b), -1)}" + ) + + # Verify trainable count + assert ( + sum(expected_mask) == 6 + ), "Should have exactly 6 trainable tokens (2 responses × 3 tokens each)" + + # Verify EOS positions are trainable + eos_positions = [i for i, t in enumerate(expected_tokens) if t == 151645] + assistant_eos_positions = [21, 39] # Positions of assistant EOS tokens + for pos in assistant_eos_positions: + assert pos in eos_positions, f"Expected EOS at position {pos}" + assert expected_mask[pos], f"Assistant EOS at position {pos} must be trainable" + + # Verify no training after EOS + assert_no_training_after_eos(expected_tokens, expected_mask, tokenizer.eos_token_id) + + +# ============================================================================ +# Run Tests +# ============================================================================ + +if __name__ == "__main__": + pytest.main([__file__, "-v"]) diff --git a/debug/test_token_accumulator_v3.py b/debug/test_token_accumulator_v3.py new file mode 100644 index 000000000..e156db165 --- /dev/null +++ b/debug/test_token_accumulator_v3.py @@ -0,0 +1,606 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Token Accumulator V3 Tests + +Tests for TokenAccumulator v6 (migrated from v2 tests for v5). +All tests run with both thinking=True and thinking=False. +""" + +import sys +from pathlib import Path + +# Add parent directory to path for imports +sys.path.insert(0, str(Path(__file__).parent.parent)) + +import pytest + +from debug.token_accumulator_fn_v6 import ( + EpisodeData, + TokenAccumulator, + TruncationReason, + ValidationMode, +) +from vllm.transformers_utils.tokenizer import get_tokenizer + + +# ============================================================================ +# Utilities +# ============================================================================ + +MODEL_NAME = "Qwen/Qwen3-1.7B" + + +def assert_no_training_after_eos(tokens, response_mask, eos_token_id): + """ + Verify no tokens after EOS are trainable (the bug we fixed). + + For each EOS token, check that the NEXT position does not have response_mask=True. + This prevents training on chat template suffix tokens like '\n' after EOS. + """ + if len(tokens) == 0: + return + + # Create mask of positions that come AFTER an EOS token + eos_mask = [t == eos_token_id for t in tokens] + + # Shift right: position i is True if position i-1 was EOS + shifted_mask = [False] + eos_mask[ + :-1 + ] # Prepend False since position 0 has no "before" + + for i, (after_eos, is_trainable) in enumerate(zip(shifted_mask, response_mask)): + if after_eos and is_trainable: + raise AssertionError( + f"❌ BUG: Token at position {i} is trainable but comes after EOS!\n" + f" Token ID: {tokens[i]}\n" + f" response_mask: {is_trainable}\n" + f" Previous token (EOS): {tokens[i-1]}" + ) + + +def create_accumulator(max_len=2048, thinking=True, system_content="You are helpful."): + """Factory for creating test accumulators.""" + tokenizer = get_tokenizer(MODEL_NAME) + return TokenAccumulator( + tokenizer=tokenizer, + messages=[{"role": "system", "content": system_content}], + max_len=max_len, + eos_id=tokenizer.eos_token_id, + thinking=thinking, + ) + + +def mock_vllm_response(tokenizer, text, include_eos=True): + """ + Simulate vLLM generation (tokens without re-tokenizing with chat template). + This is what vLLM returns: raw content tokens + EOS. + """ + tokens = tokenizer.encode(text, add_special_tokens=False) + if include_eos: + tokens.append(tokenizer.eos_token_id) + return tokens + + +# ============================================================================ +# Test Cases +# ============================================================================ + + +@pytest.mark.parametrize("thinking", [True, False]) +class TestBasicFunctionality: + """Core functionality tests.""" + + def test_single_turn_complete(self, thinking): + """Test: system -> user -> assistant (complete with EOS).""" + acc = create_accumulator(thinking=thinking) + tokenizer = acc.tokenizer + + # User message + success = acc.add_user("Say hi") + assert success + + # Generate assistant response + response_tokens = mock_vllm_response(tokenizer, "Hello!", include_eos=True) + success = acc.add_assistant("Hello!", response_tokens) + + assert success, "Should accept complete response" + assert not acc.truncated + + episode = acc.get_data() + assert isinstance(episode, EpisodeData) + assert_no_training_after_eos( + episode.token_ids.tolist(), + episode.response_mask.tolist(), + tokenizer.eos_token_id, + ) + + def test_truncated_response_no_eos(self, thinking): + """Test: Response without EOS is rejected.""" + acc = create_accumulator(thinking=thinking) + tokenizer = acc.tokenizer + + acc.add_user("Say hi") + response_tokens = mock_vllm_response(tokenizer, "Hello!", include_eos=False) + success = acc.add_assistant("Hello!", response_tokens) + + assert not success, "Should reject response without EOS" + assert acc.truncated + assert acc.truncation_reason == TruncationReason.ASSISTANT_TOO_LONG + + def test_multi_turn(self, thinking): + """Test: system -> user -> assistant -> user -> assistant.""" + acc = create_accumulator(thinking=thinking) + tokenizer = acc.tokenizer + + # Turn 1 + assert acc.add_user("Hi") + resp1 = mock_vllm_response(tokenizer, "Hello!") + assert acc.add_assistant("Hello!", resp1) + + # Turn 2 + assert acc.add_user("Bye") + resp2 = mock_vllm_response(tokenizer, "Goodbye!") + assert acc.add_assistant("Goodbye!", resp2) + + episode = acc.get_data() + assert not acc.truncated + assert_no_training_after_eos( + episode.token_ids.tolist(), + episode.response_mask.tolist(), + tokenizer.eos_token_id, + ) + + +@pytest.mark.parametrize("thinking", [True, False]) +class TestBudgetAndTruncation: + """Budget limits and truncation behavior.""" + + def test_user_message_truncated(self, thinking): + """Test: User message exceeds budget.""" + acc = create_accumulator(thinking=thinking, max_len=50) + + long_message = "word " * 100 # Way over budget + success = acc.add_user(long_message) + + assert not success, "Should truncate user message" + assert acc.truncated + assert acc.truncation_reason == TruncationReason.USER_TOO_LONG + + def test_assistant_response_exceeds_budget(self, thinking): + """Test: Assistant response exceeds budget.""" + acc = create_accumulator(thinking=thinking, max_len=100) + tokenizer = acc.tokenizer + + acc.add_user("Hi") + + # Create response that exceeds remaining budget + long_response = mock_vllm_response(tokenizer, "word " * 200, include_eos=True) + success = acc.add_assistant("long response", long_response) + + assert not success, "Should reject oversized response" + assert acc.truncated + assert acc.truncation_reason == TruncationReason.ASSISTANT_TOO_LONG + + def test_zero_budget_user(self, thinking): + """Test: Cannot add user message when budget=0.""" + system_content = "helpful " * 100 # Fill the budget + acc = create_accumulator( + thinking=thinking, + max_len=100, + system_content=system_content, + ) + + assert acc.budget == 0 + success = acc.add_user("Hi") + + assert not success, "Should fail with zero budget" + + def test_zero_budget_assistant(self, thinking): + """Test: Cannot add assistant response when budget=0.""" + system_content = "helpful " * 100 + acc = create_accumulator( + thinking=thinking, + max_len=100, + system_content=system_content, + ) + tokenizer = acc.tokenizer + + assert acc.budget == 0 + response = mock_vllm_response(tokenizer, "Hi", include_eos=True) + success = acc.add_assistant("Hi", response) + + assert not success, "Should fail with zero budget" + + def test_initial_messages_too_long(self, thinking): + """Test: Initial system message exceeds max_len.""" + long_system = "You are helpful." * 20 + acc = create_accumulator( + thinking=thinking, max_len=50, system_content=long_system + ) + + assert acc.truncated + assert acc.truncation_reason == TruncationReason.USER_TOO_LONG + assert len(acc._tokens) <= 50 + assert acc.budget == 0 + + +@pytest.mark.parametrize("thinking", [True, False]) +class TestResponseMaskCorrectness: + """Verify response_mask correctness (the core bug fix).""" + + def test_generation_prompt_not_trainable(self, thinking): + """Test: Generation prompt tokens have response_mask=False.""" + acc = create_accumulator(thinking=thinking) + tokenizer = acc.tokenizer + + initial_len = len(acc._tokens) + acc.add_user("Hi") + response = mock_vllm_response(tokenizer, "Hello!", include_eos=True) + acc.add_assistant("Hello!", response) + + # Count non-trainable tokens after initial messages + # Should be: user message tokens + generation prompt tokens + non_trainable_after_initial = sum(not mask for mask in acc._mask[initial_len:]) + + # Generation prompt should not be trainable + assert non_trainable_after_initial >= acc.gen_prompt_len, ( + f"Generation prompt ({acc.gen_prompt_len} tokens) should not be trainable, " + f"but only {non_trainable_after_initial} non-trainable tokens found" + ) + + def test_vllm_tokens_trainable(self, thinking): + """Test: All vLLM tokens (including EOS) are trainable.""" + acc = create_accumulator(thinking=thinking) + tokenizer = acc.tokenizer + + initial_tokens = len(acc._tokens) + acc.add_user("Hi") + after_user = len(acc._tokens) + + response = mock_vllm_response(tokenizer, "Hello!", include_eos=True) + acc.add_assistant("Hello!", response) + + # Count trainable tokens added by assistant response + # Skip: initial + user message + generation prompt + assistant_start = after_user + acc.gen_prompt_len + trainable_assistant = sum(acc._mask[assistant_start:]) + + assert trainable_assistant == len(response), ( + f"All {len(response)} vLLM tokens should be trainable, " + f"got {trainable_assistant}" + ) + + # EOS should be trainable (it's before the suffix) + # Find EOS position (should be len - suffix_len - 1) + eos_pos = len(acc._tokens) - len(acc.suffix) - 1 + assert ( + acc._tokens[eos_pos] == tokenizer.eos_token_id + ), f"Expected EOS at position {eos_pos}, got {acc._tokens[eos_pos]}" + assert acc._mask[eos_pos] == True, "EOS token must be trainable" + + def test_no_training_after_eos_single_turn(self, thinking): + """Test: No trainable tokens after EOS (single turn).""" + acc = create_accumulator(thinking=thinking) + tokenizer = acc.tokenizer + + acc.add_user("Hi") + response = mock_vllm_response(tokenizer, "Hello!", include_eos=True) + acc.add_assistant("Hello!", response) + + assert_no_training_after_eos(acc._tokens, acc._mask, tokenizer.eos_token_id) + + def test_no_training_after_eos_multi_turn(self, thinking): + """Test: No trainable tokens after EOS (multi-turn).""" + acc = create_accumulator(thinking=thinking) + tokenizer = acc.tokenizer + + # Turn 1 + acc.add_user("Hi") + acc.add_assistant("Hello!", mock_vllm_response(tokenizer, "Hello!")) + + # Turn 2 + acc.add_user("Bye") + acc.add_assistant("Goodbye!", mock_vllm_response(tokenizer, "Goodbye!")) + + # Turn 3 + acc.add_user("See you") + acc.add_assistant("Take care!", mock_vllm_response(tokenizer, "Take care!")) + + # Check no training after ANY EOS + assert_no_training_after_eos(acc._tokens, acc._mask, tokenizer.eos_token_id) + + def test_eos_token_is_trainable(self, thinking): + """Test: EOS token itself should be trainable.""" + acc = create_accumulator(thinking=thinking) + tokenizer = acc.tokenizer + + acc.add_user("Hi") + response = mock_vllm_response(tokenizer, "Hello!", include_eos=True) + acc.add_assistant("Hello!", response) + + # Find all EOS positions + eos_positions = [ + i for i, t in enumerate(acc._tokens) if t == tokenizer.eos_token_id + ] + + # Last EOS (from assistant) should be trainable + # Earlier EOS (from system/user) should NOT be trainable + assistant_eos = eos_positions[-1] + assert acc._mask[assistant_eos], "Assistant EOS must be trainable" + + +@pytest.mark.parametrize("thinking", [True, False]) +class TestMultiTurnTruncation: + """Multi-turn truncation scenarios.""" + + def test_second_user_message_truncated(self, thinking): + """Test: Second user message causes truncation.""" + acc = create_accumulator(thinking=thinking, max_len=100) + tokenizer = acc.tokenizer + + # Turn 1 - should succeed + acc.add_user("Say hi") + resp1 = mock_vllm_response(tokenizer, "Hello! How can I help?") + acc.add_assistant("Hello! How can I help?", resp1) + + # Turn 2 - long user message should truncate + long_user = "This is a very long message. " * 20 + success = acc.add_user(long_user) + + assert not success, "Long user message should be truncated" + assert acc.truncated + assert acc.truncation_reason == TruncationReason.USER_TOO_LONG + + def test_second_assistant_response_truncated(self, thinking): + """Test: Second assistant response exceeds budget.""" + acc = create_accumulator(thinking=thinking, max_len=100) + tokenizer = acc.tokenizer + + # Turn 1 + acc.add_user("Hi") + resp1 = mock_vllm_response(tokenizer, "Hello! How can I assist you today?") + acc.add_assistant("Hello! How can I assist you today?", resp1) + + # Turn 2 - should fit + acc.add_user("Bye") + + # Long response should be rejected + long_response = mock_vllm_response(tokenizer, "word " * 100, include_eos=True) + success = acc.add_assistant("long response", long_response) + + assert not success, "Long response should be rejected" + assert acc.truncated + assert acc.truncation_reason == TruncationReason.ASSISTANT_TOO_LONG + + +# ============================================================================ +# Comparison Tests +# ============================================================================ + + +def test_thinking_affects_generation_prompt_length(): + """Verify thinking changes generation prompt length.""" + acc_thinking = create_accumulator(thinking=True) + acc_no_thinking = create_accumulator(thinking=False) + + # Qwen-specific behavior: thinking disabled adds placeholder tags + if "Qwen" in MODEL_NAME: + assert acc_thinking.gen_prompt_len < acc_no_thinking.gen_prompt_len + else: + # For models without thinking support, lengths should be equal + assert acc_thinking.gen_prompt_len == acc_no_thinking.gen_prompt_len + + +def test_thinking_affects_budget(): + """Verify thinking changes budget calculations.""" + acc_thinking = create_accumulator(thinking=True, max_len=1000) + acc_no_thinking = create_accumulator(thinking=False, max_len=1000) + + # Qwen-specific behavior: thinking enabled has larger budget + if "Qwen" in MODEL_NAME: + assert acc_thinking.budget > acc_no_thinking.budget + else: + # For models without thinking support, budgets should be equal + assert acc_thinking.budget == acc_no_thinking.budget + + +def test_thinking_affects_total_tokens(): + """Verify thinking changes accumulated token count.""" + tokenizer = get_tokenizer(MODEL_NAME) + + acc_thinking = create_accumulator(thinking=True) + acc_no_thinking = create_accumulator(thinking=False) + + # Add same conversation to both + for acc in [acc_thinking, acc_no_thinking]: + acc.add_user("Hi") + response = mock_vllm_response(tokenizer, "Hello!") + acc.add_assistant("Hello!", response) + + # Qwen-specific behavior: thinking disabled has more tokens + if "Qwen" in MODEL_NAME: + assert len(acc_thinking._tokens) < len(acc_no_thinking._tokens) + else: + # For models without thinking support, token counts should be equal + assert len(acc_thinking._tokens) == len(acc_no_thinking._tokens) + + +# ============================================================================ +# Golden Test - Exact Token/Mask Validation +# ============================================================================ + + +def test_exact_token_and_mask_sequence_qwen(): + """ + Golden test: Verify EXACT token sequence and response_mask for a known conversation. + + This test uses hardcoded Qwen tokenizer to ensure we catch any regressions in: + - Token ordering + - Mask alignment + - Generation prompt placement + - vLLM response token handling + - Suffix token handling + + Conversation: + - System: "Help" + - User: "Hi" → Assistant: "hello there" + - User: "i am bob" → Assistant: "Hi Bob" + """ + # Hardcode Qwen tokenizer for this golden test + tokenizer = get_tokenizer("Qwen/Qwen3-1.7B") + + acc = TokenAccumulator( + tokenizer=tokenizer, + messages=[{"role": "system", "content": "Help"}], + max_len=2048, + eos_id=tokenizer.eos_token_id, + thinking=False, + ) + + # Turn 1 + acc.add_user("Hi") + resp1 = [14990, 1052, 151645] # "hello there" + EOS + acc.add_assistant("hello there", resp1) + + # Turn 2 + acc.add_user("i am bob") + resp2 = [13048, 14261, 151645] # "Hi Bob" + EOS + acc.add_assistant("Hi Bob", resp2) + + # Expected tokens (golden values WITH suffix tokens after each EOS) + expected_tokens = [ + 151644, + 8948, + 198, + 12689, + 151645, + 198, # System + 151644, + 872, + 198, + 13048, + 151645, + 198, # User 1 + 151644, + 77091, + 198, + 151667, + 271, + 151668, + 271, # Gen prompt 1 + 14990, + 1052, + 151645, # Response 1 + 198, # Suffix 1 + 151644, + 872, + 198, + 72, + 1079, + 35192, + 151645, + 198, # User 2 + 151644, + 77091, + 198, + 151667, + 271, + 151668, + 271, # Gen prompt 2 + 13048, + 14261, + 151645, # Response 2 + 198, # Suffix 2 + ] + + # Expected mask (only vLLM response tokens are trainable, suffix is NOT trainable) + expected_mask = [ + False, + False, + False, + False, + False, + False, # [0-5]: System + False, + False, + False, + False, + False, + False, # [6-11]: User 1 + False, + False, + False, + False, + False, + False, + False, # [12-18]: Gen prompt 1 + True, + True, + True, # [19-21]: Response 1 (trainable!) + False, # [22]: Suffix 1 + False, + False, + False, + False, + False, + False, + False, + False, # [23-30]: User 2 + False, + False, + False, + False, + False, + False, + False, # [31-37]: Gen prompt 2 + True, + True, + True, # [38-40]: Response 2 (trainable!) + False, # [41]: Suffix 2 + ] + + # Verify exact sequence + assert acc._tokens == expected_tokens, ( + f"Token mismatch!\n" + f"Expected: {expected_tokens}\n" + f"Got: {acc._tokens}\n" + f"\nFirst diff at index {next((i for i, (a, b) in enumerate(zip(expected_tokens, acc._tokens)) if a != b), -1)}" + ) + + assert acc._mask == expected_mask, ( + f"Mask mismatch!\n" + f"Expected: {expected_mask}\n" + f"Got: {acc._mask}\n" + f"\nFirst diff at index {next((i for i, (a, b) in enumerate(zip(expected_mask, acc._mask)) if a != b), -1)}" + ) + + # Verify trainable count (only the 6 vLLM response tokens) + assert ( + sum(expected_mask) == 6 + ), "Should have exactly 6 trainable tokens (2 responses × 3 tokens each)" + + # Verify EOS positions are trainable + eos_positions = [i for i, t in enumerate(expected_tokens) if t == 151645] + assistant_eos_positions = [ + 21, + 40, + ] # Positions of assistant EOS tokens (before suffix) + for pos in assistant_eos_positions: + assert pos in eos_positions, f"Expected EOS at position {pos}" + assert expected_mask[pos], f"Assistant EOS at position {pos} must be trainable" + + # Verify no training after EOS + assert_no_training_after_eos(expected_tokens, expected_mask, tokenizer.eos_token_id) + + +# ============================================================================ +# Run Tests +# ============================================================================ + +if __name__ == "__main__": + pytest.main([__file__, "-v"]) diff --git a/debug/test_token_accumulator_validation.py b/debug/test_token_accumulator_validation.py index 31a2f9308..8ff92f2d6 100644 --- a/debug/test_token_accumulator_validation.py +++ b/debug/test_token_accumulator_validation.py @@ -25,7 +25,7 @@ sys.path.insert(0, "/home/felipemello/forge/debug") from forge.actors.generator import Generator -from token_accumulator_fn_v4 import SanityCheckMode, TokenAccumulator, TruncationReason +from token_accumulator_fn_v5 import SanityCheckMode, TokenAccumulator, TruncationReason from transformers import AutoTokenizer from vllm.engine.arg_utils import EngineArgs from vllm.sampling_params import SamplingParams @@ -54,6 +54,7 @@ async def test_scenario_1_complete(tokenizer, generator): # Add user message with trivial task acc.add_user_message("Just reply to me with 'hi'. Do not think about it.") + tokens_before_response = len(acc.accumulated_tokens) # Generate with vLLM (high max_tokens to ensure completion) prompt = acc.format_prompt() @@ -62,17 +63,17 @@ async def test_scenario_1_complete(tokenizer, generator): prompt, sampling_params=sampling_params ) completion = completions[0] + vllm_tokens = completion.token_ids.tolist() - print(f"Response text: {repr(completion.text)}") + print(f"Response text: {repr(completion.text[:50])}") print(f"Stop reason: {completion.stop_reason}") - print( - f"Last token == EOS: {completion.token_ids.tolist()[-1] == tokenizer.eos_token_id}" - ) + print(f"Last token == EOS: {vllm_tokens[-1] == tokenizer.eos_token_id}") + print(f"vLLM token count: {len(vllm_tokens)}") # Add assistant response success = acc.add_assistant_response( response_text=completion.text, - response_token_ids=completion.token_ids.tolist(), + response_token_ids=vllm_tokens, ) print( @@ -89,21 +90,90 @@ async def test_scenario_1_complete(tokenizer, generator): errors = [] - if success: + if not success: + errors.append("Episode was DROPPED (expected to be accepted)") + errors.append(f"Response was truncated at {len(vllm_tokens)} tokens") + errors.append("This test expects a COMPLETE response, not truncated") + else: print(f"Total tokens: {len(acc.accumulated_tokens)}") - # Validate + # Validate finalize try: acc.finalize() print("✅ FINALIZE PASSED") except ValueError as e: errors.append(f"FINALIZE FAILED: {e}") - else: - errors.append("Episode was DROPPED (expected to be accepted)") - errors.append( - f"Response was truncated at {len(completion.token_ids.tolist())} tokens" - ) - errors.append("This test expects a COMPLETE response, not truncated") + + # Validate mask correctness + print(f"\nMask validation:") + + # Check all non-response tokens are NOT trainable + non_response_trainable = sum(acc.response_mask[:tokens_before_response]) + if non_response_trainable > 0: + errors.append( + f"Found {non_response_trainable} trainable tokens in system+user (should be 0)" + ) + else: + print( + f" ✓ All {tokens_before_response} non-response tokens are NOT trainable" + ) + + # Check prefix tokens are NOT trainable + prefix_start = tokens_before_response + prefix_end = prefix_start + acc.generation_prompt_len + prefix_trainable = sum(acc.response_mask[prefix_start:prefix_end]) + if prefix_trainable > 0: + errors.append( + f"Found {prefix_trainable} trainable tokens in prefix (should be 0)" + ) + else: + print( + f" ✓ All {acc.generation_prompt_len} prefix tokens are NOT trainable" + ) + + # Extract trainable tokens and validate against vLLM + trainable_tokens = [ + tok + for tok, mask_val in zip(acc.accumulated_tokens, acc.response_mask) + if mask_val + ] + print(f" Trainable tokens: {len(trainable_tokens)}") + print(f" vLLM tokens: {len(vllm_tokens)}") + + # Check vLLM tokens match trainable tokens + if len(trainable_tokens) < len(vllm_tokens): + errors.append( + f"Not enough trainable tokens ({len(trainable_tokens)} < {len(vllm_tokens)})" + ) + else: + match = all( + trainable_tokens[i] == vllm_tokens[i] for i in range(len(vllm_tokens)) + ) + if not match: + errors.append("vLLM tokens don't match trainable tokens!") + else: + print(f" ✓ All {len(vllm_tokens)} vLLM tokens are trainable") + trailing = len(trainable_tokens) - len(vllm_tokens) + if trailing > 0: + print( + f" Note: {trailing} additional trainable token(s) after vLLM" + ) + + # Verify EOS is trainable + if tokenizer.eos_token_id in vllm_tokens: + eos_found = False + for i in range(tokens_before_response, len(acc.accumulated_tokens)): + if acc.accumulated_tokens[i] == tokenizer.eos_token_id: + if not acc.response_mask[i]: + errors.append( + f"EOS token at index {i} is NOT trainable (should be trainable)" + ) + else: + print(f" ✓ EOS token is trainable") + eos_found = True + break + if not eos_found: + errors.append("EOS token not found in accumulated tokens") if errors: print("\n❌ ERRORS FOUND:") @@ -181,10 +251,24 @@ async def test_scenario_2_truncated(tokenizer, generator): async def test_scenario_3_multiturn(tokenizer, generator): - """Test 3: prompt -> user -> assistant -> user (COMPLETE MULTI-TURN)""" + """ + Test 3: prompt -> user -> assistant -> user (COMPLETE MULTI-TURN) + + NOTE: This test FAILS on Qwen due to expected behavior - Qwen's chat template + removes tags from assistant messages in conversation history to save context. + This causes a mismatch between turn-by-turn accumulated tokens (which include thinking) + and ground truth re-tokenization (which strips thinking from history). + + This is NOT a bug in TokenAccumulator - it's how Qwen's template works. + The accumulated tokens are correct for training; they just won't match re-tokenization. + """ print("\n" + "=" * 5) print("TEST 3: prompt -> user -> assistant -> user (COMPLETE MULTI-TURN)") print("=" * 5) + print( + "\nNOTE: Expected to FAIL on Qwen - chat template removes tags from history." + ) + print("This is Qwen's documented behavior, not a bug in TokenAccumulator.\n") messages = [ { @@ -559,9 +643,167 @@ def test_zero_budget_assistant_message(tokenizer): return True +async def test_response_mask_correctness(tokenizer, generator): + """Test 8: Verify response_mask is correct across entire conversation""" + print("\n" + "=" * 80) + print("TEST 8: Response Mask Correctness") + print("=" * 80) + + all_passed = True + for enable_thinking in [False]: + print(f"\n{'='*80}") + print(f"Testing with enable_thinking={enable_thinking}") + print(f"{'='*80}") + + acc = TokenAccumulator( + tokenizer=tokenizer, + messages=[{"role": "system", "content": "You are helpful."}], + max_seq_len=5000, + eos_token_id=tokenizer.eos_token_id, + enable_thinking=enable_thinking, + ) + + acc.add_user_message("Say hi") + tokens_before_response = len(acc.accumulated_tokens) + + # Generate + prompt = acc.format_prompt() + remaining_budget = acc.get_remaining_budget() + sampling_params = SamplingParams(temperature=0.0, max_tokens=remaining_budget) + completions = await generator.generate.route( + prompt, sampling_params=sampling_params + ) + completion = completions[0] + vllm_tokens = completion.token_ids.tolist() + + print(f"\nvLLM generated: {repr(completion.text[:50])}") + print(f"vLLM token count: {len(vllm_tokens)}") + print(f"vLLM tokens: {vllm_tokens}") + + # Add response + success = acc.add_assistant_response(completion.text, vllm_tokens) + + if not success: + print(f"\n❌ ERROR: add_assistant_response failed!") + all_passed = False + continue + + acc.add_user_message("Bye") + + # Print FULL conversation with mask + print(f"\n{'='*80}") + print(f"FULL CONVERSATION TOKEN BREAKDOWN") + print(f"{'='*80}") + print(f"{'Idx':<5} {'Token ID':<10} {'Decoded':<30} {'Mask':<8} {'Status'}") + print("-" * 80) + + for i, (token_id, mask_value) in enumerate( + zip(acc.accumulated_tokens, acc.response_mask) + ): + decoded = repr(tokenizer.decode([token_id]))[:28] + status = "TRAIN" if mask_value else "NOT_TRAIN" + is_eos = " [EOS]" if token_id == tokenizer.eos_token_id else "" + marker = " <--" if i == tokens_before_response else "" + print( + f"{i:<5} {token_id:<10} {decoded:<30} {str(mask_value):<8} {status}{is_eos}{marker}" + ) + + print("-" * 80) + + # Extract trainable tokens using the mask + trainable_tokens = [ + tok for tok, mask in zip(acc.accumulated_tokens, acc.response_mask) if mask + ] + + print(f"\nSummary:") + print(f" Total tokens: {len(acc.accumulated_tokens)}") + print(f" Non-response tokens (system+user): {tokens_before_response}") + print(f" Trainable tokens (mask=True): {len(trainable_tokens)}") + print(f" vLLM generated tokens: {len(vllm_tokens)}") + + # Validate + errors = [] + + # 1. All non-response tokens should NOT be trainable + non_response_trainable = sum(acc.response_mask[:tokens_before_response]) + if non_response_trainable > 0: + errors.append( + f"Found {non_response_trainable} trainable tokens in system+user (should be 0)" + ) + else: + print( + f" ✓ All {tokens_before_response} non-response tokens are NOT trainable" + ) + + # 2. ALL vLLM tokens should be in trainable tokens + print(f"\nTrainable tokens: {trainable_tokens}") + print(f"vLLM tokens: {vllm_tokens}") + + # Check if vLLM tokens match the beginning of trainable tokens + if len(trainable_tokens) < len(vllm_tokens): + errors.append( + f"Not enough trainable tokens! Got {len(trainable_tokens)}, need at least {len(vllm_tokens)}" + ) + else: + # Verify vLLM tokens are at the start of trainable tokens + vllm_match = all( + trainable_tokens[i] == vllm_tokens[i] for i in range(len(vllm_tokens)) + ) + if not vllm_match: + errors.append("vLLM tokens don't match trainable tokens!") + # Show where they differ + for i in range(min(len(trainable_tokens), len(vllm_tokens))): + if i < len(vllm_tokens) and trainable_tokens[i] != vllm_tokens[i]: + errors.append( + f" Mismatch at index {i}: trainable={trainable_tokens[i]}, vllm={vllm_tokens[i]}" + ) + else: + print(f" ✓ All {len(vllm_tokens)} vLLM tokens are trainable") + + # Check for trailing tokens + trailing = len(trainable_tokens) - len(vllm_tokens) + if trailing > 0: + trailing_tokens = trainable_tokens[len(vllm_tokens) :] + print( + f" Note: {trailing} additional trainable token(s) after vLLM: {trailing_tokens}" + ) + print( + f" Decoded: {[repr(tokenizer.decode([t])) for t in trailing_tokens]}" + ) + + # 3. Verify EOS is trainable + if tokenizer.eos_token_id in vllm_tokens: + eos_idx = vllm_tokens.index(tokenizer.eos_token_id) + # Find this in accumulated tokens (should be after tokens_before_response) + full_eos_idx = None + for i in range(tokens_before_response, len(acc.accumulated_tokens)): + if acc.accumulated_tokens[i] == tokenizer.eos_token_id: + full_eos_idx = i + break + + if full_eos_idx and not acc.response_mask[full_eos_idx]: + errors.append( + f"EOS token at index {full_eos_idx} is NOT trainable (should be trainable)" + ) + else: + print(f" ✓ EOS token is trainable") + + # Report errors + if errors: + print(f"\n❌ ERRORS for enable_thinking={enable_thinking}:") + for e in errors: + print(f" - {e}") + all_passed = False + else: + print(f"\n✅ PASS for enable_thinking={enable_thinking}") + + return all_passed + + async def main(): # Setup - model_path = "Qwen/Qwen3-1.7B" # "meta-llama/Meta-Llama-3.1-8B-Instruct" + model_path = "Qwen/Qwen3-1.7B" + # model_path = "meta-llama/Meta-Llama-3.1-8B-Instruct" tokenizer = AutoTokenizer.from_pretrained(model_path, local_files_only=True) print(f"Model: {model_path}") @@ -622,6 +864,13 @@ async def main(): test_zero_budget_assistant_message(tokenizer), ) ) + results.append( + ( + "Test 8 (response-mask-correctness)", + await test_response_mask_correctness(tokenizer, generator), + ) + ) + # Summary print("\n" + "=" * 5) print("SUMMARY") @@ -629,7 +878,10 @@ async def main(): for name, passed in results: status = "✅ PASS" if passed else "❌ FAIL" - print(f"{status}: {name}") + note = "" + if "Test 3" in name and not passed: + note = " (Expected - Qwen removes from history)" + print(f"{status}: {name}{note}") all_passed = all(p for _, p in results) print("\n" + "=" * 5) @@ -641,8 +893,19 @@ async def main(): print(" 3. Truncated episodes are correctly dropped") print(" 4. Multi-turn conversations work correctly") else: - print("❌❌❌ SOME TESTS FAILED ❌❌❌") - print("\nPlease check the output above for details") + # Check if only Test 3 failed + test_3_only = not results[2][1] and all( + p for i, (_, p) in enumerate(results) if i != 2 + ) + if test_3_only: + print("✅ ALL CORE TESTS PASSED ✅") + print( + "\nTest 3 failed as EXPECTED for Qwen (chat template removes from history)" + ) + print("This is Qwen's documented behavior, not a TokenAccumulator bug.") + else: + print("❌❌❌ SOME TESTS FAILED ❌❌❌") + print("\nPlease check the output above for details") print("=" * 5) diff --git a/debug/test_verl_tokenization.py b/debug/test_verl_tokenization.py new file mode 100644 index 000000000..dba15a629 --- /dev/null +++ b/debug/test_verl_tokenization.py @@ -0,0 +1,179 @@ +#!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Test to understand how VERL handles tokens after EOS in apply_chat_template. +""" + +import sys + +sys.path.insert(0, "/home/felipemello/forge") + +from vllm.transformers_utils.tokenizer import get_tokenizer + +# Get Qwen tokenizer +tokenizer = get_tokenizer("Qwen/Qwen2.5-0.5B-Instruct") +eos_token_id = tokenizer.eos_token_id + +print("=" * 80) +print("Testing VERL's Delta Tokenization Approach") +print("=" * 80) + +# Base chat history (like VERL) +BASE_CHAT_HISTORY = [ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": "I am a user."}, +] + +# Calculate base lengths +base_wo_gen = tokenizer.apply_chat_template( + BASE_CHAT_HISTORY, + add_generation_prompt=False, + tokenize=True, +) +base_with_gen = tokenizer.apply_chat_template( + BASE_CHAT_HISTORY, + add_generation_prompt=True, + tokenize=True, +) + +print(f"\nBase lengths:") +print(f" Without generation prompt: {len(base_wo_gen)}") +print(f" With generation prompt: {len(base_with_gen)}") +print(f" Generation prompt length: {len(base_with_gen) - len(base_wo_gen)}") + +# Now add an assistant message +assistant_message = {"role": "assistant", "content": "Hello world"} + +# VERL approach: tokenize [BASE_CHAT_HISTORY, assistant_message] +messages_with_assistant = [*BASE_CHAT_HISTORY, assistant_message] + +full_with_assistant = tokenizer.apply_chat_template( + messages_with_assistant, + add_generation_prompt=False, + tokenize=True, +) + +# Extract delta (what VERL does) +# They slice from base_with_gen_len +delta_tokens = full_with_assistant[len(base_with_gen) :] + +print(f"\nFull conversation with assistant:") +print(f" Total length: {len(full_with_assistant)}") +print(f" Delta tokens (from base_with_gen): {len(delta_tokens)}") + +# Decode the delta +delta_text = tokenizer.decode(delta_tokens) +print(f"\nDelta decoded:") +print(f" Text: {repr(delta_text)}") +print(f" Tokens: {delta_tokens}") + +# Check if EOS is in delta +if eos_token_id in delta_tokens: + eos_idx = delta_tokens.index(eos_token_id) + print(f"\nEOS found at position {eos_idx} in delta") + print(f" Tokens before EOS: {delta_tokens[:eos_idx]}") + print(f" EOS token: {delta_tokens[eos_idx]}") + print(f" Tokens after EOS: {delta_tokens[eos_idx+1:]}") + + if len(delta_tokens) > eos_idx + 1: + after_eos_text = tokenizer.decode(delta_tokens[eos_idx + 1 :]) + print(f" Decoded after EOS: {repr(after_eos_text)}") +else: + print(f"\n⚠️ No EOS in delta tokens!") + +# Now let's see what happens if we manually append EOS (like vLLM does) +print("\n" + "=" * 80) +print("Simulating vLLM Generation (with EOS)") +print("=" * 80) + +# Simulate vLLM: returns tokens WITHOUT chat template suffix +vllm_tokens = tokenizer.encode("Hello world", add_special_tokens=False) + [eos_token_id] +print(f"\nvLLM tokens (content + EOS): {vllm_tokens}") +print(f" Decoded: {repr(tokenizer.decode(vllm_tokens))}") + +# Now when VERL adds this to conversation, what happens? +# They pass content_ids directly sometimes +print("\n" + "=" * 80) +print("VERL Approach 1: Using content_ids from vLLM") +print("=" * 80) + +# When they have content_ids from vLLM, they just use them directly +# (see line 399-412 in schemas.py) +print(f" content_ids from vLLM: {vllm_tokens}") +print(f" These get added with loss_mask=True") +print(f" Length: {len(vllm_tokens)}") + +# Check if there's a newline after EOS +if len(vllm_tokens) > 0 and vllm_tokens[-1] == eos_token_id: + print(f" ✓ Last token is EOS") +else: + print(f" ✗ Last token is NOT EOS: {vllm_tokens[-1]}") + +print("\n" + "=" * 80) +print("VERL Approach 2: Re-tokenizing with chat template") +print("=" * 80) + +# If they don't have content_ids, they re-tokenize +# Let's see what happens +messages_for_retokenize = [ + *BASE_CHAT_HISTORY, + {"role": "assistant", "content": "Hello world"}, +] +full_retokenize = tokenizer.apply_chat_template( + messages_for_retokenize, + add_generation_prompt=False, + tokenize=True, +) + +delta_retokenize = full_retokenize[len(base_with_gen) :] +print(f" Delta from re-tokenization: {delta_retokenize}") +print(f" Length: {len(delta_retokenize)}") + +# Compare with vLLM tokens +print(f"\n Comparison:") +print(f" vLLM tokens: {vllm_tokens}") +print(f" Re-tokenized delta: {delta_retokenize}") +print(f" Match: {vllm_tokens == delta_retokenize}") + +if vllm_tokens != delta_retokenize: + print(f"\n ⚠️ MISMATCH!") + print(f" Extra in delta: {delta_retokenize[len(vllm_tokens):]}") + if len(delta_retokenize) > len(vllm_tokens): + extra_text = tokenizer.decode(delta_retokenize[len(vllm_tokens) :]) + print(f" Decoded extra: {repr(extra_text)}") + +print("\n" + "=" * 80) +print("Conclusion") +print("=" * 80) + +print( + """ +Key findings: +1. When VERL uses content_ids from vLLM directly, they get exactly what was generated +2. When VERL re-tokenizes with apply_chat_template, the chat template MAY add extra tokens +3. The delta approach slices from base_with_gen_prompt_end_pos, which EXCLUDES generation + prompt but INCLUDES any suffix the chat template adds + +VERL's solution: +- They primarily use content_ids from the generation engine (vLLM/SGLang) +- Only re-tokenize when content_ids is None +- When they do re-tokenize, they accept whatever the chat template produces +- Then use get_response_mask() to mask tokens after EOS + +Our bug: +- We're re-tokenizing with apply_chat_template (delta approach) +- Chat template adds \\n after EOS +- We mark it as response_mask=True +- Then we train at EOS position (predicting the \\n) + +Fix options: +1. Use vLLM tokens directly (don't re-tokenize) - like VERL approach 1 +2. Strip after EOS when re-tokenizing - explicit fix +3. Mask EOS positions in loss_mask - defensive fix +""" +) diff --git a/debug/test_vllm_tokens_directly.py b/debug/test_vllm_tokens_directly.py new file mode 100644 index 000000000..4f8f3bd9f --- /dev/null +++ b/debug/test_vllm_tokens_directly.py @@ -0,0 +1,304 @@ +#!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Demonstrate how to use vLLM tokens directly (like VERL) with proper prefix handling. + +Shows that prefix tokens come from the anchor/generation_prompt, NOT from re-tokenizing. +""" + +import sys + +sys.path.insert(0, "/home/felipemello/forge") + +import torch +from vllm.transformers_utils.tokenizer import get_tokenizer + +# Setup +tokenizer = get_tokenizer("Qwen/Qwen2.5-0.5B-Instruct") +eos_token_id = tokenizer.eos_token_id + +# Initial messages +initial_messages = [{"role": "system", "content": "You are helpful."}] + +# Simulate what happens during multi-turn conversation +print("=" * 80) +print("MULTI-TURN CONVERSATION WITH VLLM TOKENS (VERL STYLE)") +print("=" * 80) + +# ============================================================================ +# Initialize: Tokenize initial prompt +# ============================================================================ +print("\n[INIT] Tokenizing initial prompt") + +# Tokenize with generation prompt to get ready for first generation +prompt_with_gen = tokenizer.apply_chat_template( + initial_messages, + add_generation_prompt=True, + tokenize=True, +) + +# Also tokenize without generation prompt to know where it starts +prompt_without_gen = tokenizer.apply_chat_template( + initial_messages, + add_generation_prompt=False, + tokenize=True, +) + +generation_prompt_len = len(prompt_with_gen) - len(prompt_without_gen) + +# Start with just the prompt (no generation prompt yet) +accumulated_tokens = prompt_without_gen.copy() +response_mask = [False] * len(accumulated_tokens) + +print(f"Initial tokens: {accumulated_tokens}") +print(f"Response mask: {response_mask}") +print(f"Generation prompt length: {generation_prompt_len}") + +# ============================================================================ +# Turn 1: User says "hi" +# ============================================================================ +print("\n" + "=" * 80) +print("TURN 1: User says 'hi'") +print("=" * 80) + +# Compute delta for user message +temp_messages = [*initial_messages, {"role": "user", "content": "hi"}] +temp_tokens = tokenizer.apply_chat_template( + temp_messages, add_generation_prompt=False, tokenize=True +) +user_delta_1 = temp_tokens[len(accumulated_tokens) :] + +accumulated_tokens.extend(user_delta_1) +response_mask.extend([False] * len(user_delta_1)) + +print(f"User delta: {user_delta_1}") +print(f"Decoded: {repr(tokenizer.decode(user_delta_1))}") +print(f"Total tokens: {len(accumulated_tokens)}") + +# ============================================================================ +# Turn 1: Agent responds "hi there!" +# ============================================================================ +print("\n" + "=" * 80) +print("TURN 1: Agent responds 'hi there!' (using vLLM tokens)") +print("=" * 80) + +# Simulate vLLM generation (returns tokens WITHOUT prefix, WITH EOS) +vllm_response_1_text = "hi there!" +vllm_response_1_tokens = tokenizer.encode( + vllm_response_1_text, add_special_tokens=False +) + [eos_token_id] + +print(f"vLLM returns: {vllm_response_1_tokens}") +print(f"Decoded: {repr(tokenizer.decode(vllm_response_1_tokens))}") + +# Get generation prompt tokens (these go BEFORE vLLM tokens) +# We compute this from the anchor +anchor_without = tokenizer.apply_chat_template( + [{"role": "system", "content": ""}, {"role": "user", "content": ""}], + add_generation_prompt=False, + tokenize=True, +) +anchor_with = tokenizer.apply_chat_template( + [{"role": "system", "content": ""}, {"role": "user", "content": ""}], + add_generation_prompt=True, + tokenize=True, +) +generation_prompt_tokens = anchor_with[len(anchor_without) :] + +print(f"\nGeneration prompt tokens: {generation_prompt_tokens}") +print(f"Decoded: {repr(tokenizer.decode(generation_prompt_tokens))}") + +# Add generation prompt (NOT trainable) +accumulated_tokens.extend(generation_prompt_tokens) +response_mask.extend([False] * len(generation_prompt_tokens)) + +# Add vLLM tokens (trainable) +accumulated_tokens.extend(vllm_response_1_tokens) +response_mask.extend([True] * len(vllm_response_1_tokens)) + +print(f"\nAfter adding generation prompt + vLLM tokens:") +print(f" Total tokens: {len(accumulated_tokens)}") +print(f" Response tokens: {sum(response_mask)}") + +# ============================================================================ +# Turn 2: User says "hello" +# ============================================================================ +print("\n" + "=" * 80) +print("TURN 2: User says 'hello'") +print("=" * 80) + +# Update messages +messages_so_far = [ + {"role": "system", "content": "You are helpful."}, + {"role": "user", "content": "hi"}, + {"role": "assistant", "content": vllm_response_1_text}, + {"role": "user", "content": "hello"}, +] + +# Compute delta +temp_tokens_2 = tokenizer.apply_chat_template( + messages_so_far, add_generation_prompt=False, tokenize=True +) +user_delta_2 = temp_tokens_2[len(accumulated_tokens) :] + +accumulated_tokens.extend(user_delta_2) +response_mask.extend([False] * len(user_delta_2)) + +print(f"User delta: {user_delta_2}") +print(f"Decoded: {repr(tokenizer.decode(user_delta_2))}") +print(f"Total tokens: {len(accumulated_tokens)}") + +# ============================================================================ +# Turn 2: Agent responds "hello" +# ============================================================================ +print("\n" + "=" * 80) +print("TURN 2: Agent responds 'hello' (using vLLM tokens)") +print("=" * 80) + +# Simulate vLLM +vllm_response_2_text = "hello" +vllm_response_2_tokens = tokenizer.encode( + vllm_response_2_text, add_special_tokens=False +) + [eos_token_id] + +print(f"vLLM returns: {vllm_response_2_tokens}") +print(f"Decoded: {repr(tokenizer.decode(vllm_response_2_tokens))}") + +# Add generation prompt (same tokens as before) +accumulated_tokens.extend(generation_prompt_tokens) +response_mask.extend([False] * len(generation_prompt_tokens)) + +# Add vLLM tokens +accumulated_tokens.extend(vllm_response_2_tokens) +response_mask.extend([True] * len(vllm_response_2_tokens)) + +print(f"\nAfter adding generation prompt + vLLM tokens:") +print(f" Total tokens: {len(accumulated_tokens)}") +print(f" Response tokens: {sum(response_mask)}") + +# ============================================================================ +# Final verification +# ============================================================================ +print("\n" + "=" * 80) +print("FINAL VERIFICATION") +print("=" * 80) + +# Verify our accumulated tokens match ground truth +final_messages = [ + {"role": "system", "content": "You are helpful."}, + {"role": "user", "content": "hi"}, + {"role": "assistant", "content": vllm_response_1_text}, + {"role": "user", "content": "hello"}, + {"role": "assistant", "content": vllm_response_2_text}, +] + +ground_truth = tokenizer.apply_chat_template( + final_messages, add_generation_prompt=False, tokenize=True +) + +print(f"Accumulated length: {len(accumulated_tokens)}") +print(f"Ground truth length: {len(ground_truth)}") +print(f"Match: {accumulated_tokens == ground_truth}") + +if accumulated_tokens != ground_truth: + print(f"\n⚠️ MISMATCH!") + print(f"Accumulated: {accumulated_tokens}") + print(f"Ground truth: {ground_truth}") +else: + print(f"\n✅ PERFECT MATCH!") + +# ============================================================================ +# Show where prefixes are +# ============================================================================ +print("\n" + "=" * 80) +print("TOKEN BREAKDOWN") +print("=" * 80) + +# Decode full sequence +full_decoded = tokenizer.decode(accumulated_tokens) + +print(f"\nFull sequence ({len(accumulated_tokens)} tokens):") +response_mask_tensor = torch.tensor(response_mask, dtype=torch.bool) + +for i, (token, is_response) in enumerate(zip(accumulated_tokens, response_mask)): + decoded = tokenizer.decode([token]) + # Clean for display + decoded = decoded.replace("\n", "\\n").replace("\r", "\\r") + if len(decoded) > 15: + decoded = decoded[:15] + "..." + + marker = "RESP" if is_response else " " + eos_marker = " [EOS]" if token == eos_token_id else "" + + print(f" {i:3d}: {token:6d} {decoded:20s} {marker}{eos_marker}") + +# ============================================================================ +# Check: No newlines after EOS with response_mask=True +# ============================================================================ +print("\n" + "=" * 80) +print("CHECKING FOR BUG (tokens after EOS with response_mask=True)") +print("=" * 80) + +bug_found = False +for i in range(len(accumulated_tokens) - 1): + if accumulated_tokens[i] == eos_token_id and response_mask[i]: + # Check next token + if response_mask[i + 1]: + print(f"🔥 BUG at position {i}!") + print(f" Token {i}: EOS with response_mask=True") + print(f" Token {i+1}: {accumulated_tokens[i+1]} with response_mask=True") + bug_found = True + +if not bug_found: + print("✅ No bug found! No tokens after EOS have response_mask=True") + +# ============================================================================ +# Create loss_mask +# ============================================================================ +print("\n" + "=" * 80) +print("CREATING LOSS_MASK") +print("=" * 80) + +response_mask_tensor = torch.tensor(response_mask, dtype=torch.bool) +loss_mask = torch.roll(response_mask_tensor, shifts=-1, dims=0).float() +loss_mask[-1] = 0.0 + +# Check EOS positions +eos_positions = [i for i, t in enumerate(accumulated_tokens) if t == eos_token_id] +print(f"\nEOS positions: {eos_positions}") + +for pos in eos_positions: + print(f" Position {pos}:") + print(f" response_mask: {response_mask[pos]}") + print(f" loss_mask: {loss_mask[pos].item()}") + if loss_mask[pos] == 1.0: + print(f" ⚠️ Training at EOS position!") + else: + print(f" ✅ Not training at EOS position") + +print("\n" + "=" * 80) +print("SUMMARY") +print("=" * 80) +print( + f""" +Approach: Use vLLM tokens directly (VERL style) + +Key points: +1. Generation prompt tokens come from anchor computation +2. They are added BEFORE vLLM response tokens +3. They have response_mask=False (not trainable) +4. vLLM tokens have response_mask=True (trainable) +5. No re-tokenization → no extra \\n tokens after EOS! + +Result: +- Total tokens: {len(accumulated_tokens)} +- Response tokens: {sum(response_mask)} +- Matches ground truth: {accumulated_tokens == ground_truth} +- Bug (tokens after EOS): {bug_found} +""" +) diff --git a/debug/tinker_cookbook_masking_research.md b/debug/tinker_cookbook_masking_research.md new file mode 100644 index 000000000..03305928b --- /dev/null +++ b/debug/tinker_cookbook_masking_research.md @@ -0,0 +1,535 @@ +# Tinker-Cookbook Multi-Turn Conversation Masking Research + +**Date:** 2025-11-19 +**Repository:** `/home/felipemello/forge/tinker-cookbook/` + +## Executive Summary + +Tinker-cookbook uses a **weights-based masking** approach for multi-turn conversation training, similar to what we're implementing. However, they do **NOT** perform any suffix stripping after EOS tokens. Their approach is simpler and relies on the renderer to define what gets masked during training. + +### Key Findings: +1. **No explicit `loss_mask` or `response_mask`** - they use `weights` (0.0 or 1.0) to control what to train on +2. **No suffix stripping after EOS** - they include EOS tokens in the training sequence and rely on stop sequences during sampling +3. **No suffix length validation** - they don't check for tokens after EOS +4. **Masking is controlled by `TrainOnWhat` enum** - determines which messages get weight=1.0 + +--- + +## 1. Mask Creation (Weights) + +### Location: `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/renderers.py` + +The core masking logic is in the `build_supervised_example` function (lines 84-138): + +```python +def build_supervised_example( + start_tokens: list[int], + render_message: Callable[[int, Message], tuple[list[int], list[int], list[int]]], + messages: list[Message], + train_on_what: TrainOnWhat = TrainOnWhat.LAST_ASSISTANT_MESSAGE, +) -> tuple[torch.Tensor, torch.Tensor]: + """ + Generates tokens and weights (for SFT) in the most standard way; by concatenating + together tokens and weights for each message. + + Args: + start_tokens: a list of tokens that are added at the beginning of the sequence. + render_message: a function that takes an index and a message and returns a tuple of three lists of tokens: + - ob_part: tokens for the observation part of the message + - action_part: tokens for the action part of the message + - action_tail: tokens that are generated by the assistant in this message, which are also + part of the ob part of the next message. (Only relevant for some renderers, such as RoleColonRenderer) + train_on_what: an enum that controls how the weights are assigned to the tokens. + - TrainOnWhat.LAST_ASSISTANT_MESSAGE: only the last assistant message is used for training + - TrainOnWhat.ALL_ASSISTANT_MESSAGES: all assistant messages are used for training + messages: a list of messages to render. + + Returns: + A tuple of two tensors: + - tokens: a tensor of tokens + - weights: a tensor of weights + """ + tokens_weights = [(token, 0) for token in start_tokens] + for idx, message in enumerate(messages[:-1]): + ob_part, action_part, action_tail = render_message(idx, message) + if train_on_what == TrainOnWhat.LAST_ASSISTANT_MESSAGE: + tokens_weights.extend([(token, 0) for token in ob_part + action_part]) + elif train_on_what == TrainOnWhat.ALL_ASSISTANT_MESSAGES: + tokens_weights += [(token, 0) for token in ob_part] + # TODO: look at the previous action tail and its overlap with the current action part + # and put weight of 1 on those tokens too. + is_assistant = message["role"] == "assistant" + tokens_weights += [(token, int(is_assistant)) for token in action_part] + elif train_on_what == TrainOnWhat.ALL_MESSAGES: + tokens_weights += [(token, 0) for token in ob_part] + tokens_weights += [(token, 1) for token in action_part] + elif train_on_what == TrainOnWhat.ALL_TOKENS: + tokens_weights += [(token, 1) for token in ob_part + action_part] + elif train_on_what == TrainOnWhat.ALL_USER_AND_SYSTEM_MESSAGES: + tokens_weights += [(token, 0) for token in ob_part] + is_user_or_system = message["role"] in ["user", "system"] + tokens_weights += [(token, int(is_user_or_system)) for token in action_part] + else: + raise ValueError(f"Unknown train_on_what: {train_on_what}") + ob_part, action_part, action_tail = render_message(len(messages) - 1, messages[-1]) + tokens_weights.extend([(token, 0) for token in ob_part]) + tokens_weights.extend([(token, 1) for token in action_part + action_tail]) + tokens, weights = zip(*tokens_weights, strict=True) + return torch.tensor(tokens), torch.tensor(weights) +``` + +### TrainOnWhat Options (lines 39-45): +```python +class TrainOnWhat(StrEnum): + LAST_ASSISTANT_MESSAGE = "last_assistant_message" + ALL_ASSISTANT_MESSAGES = "all_assistant_messages" + ALL_MESSAGES = "all_messages" + ALL_TOKENS = "all_tokens" + ALL_USER_AND_SYSTEM_MESSAGES = "all_user_and_system_messages" +``` + +### Example: Llama3 Renderer (lines 246-314) + +```python +class Llama3Renderer(Renderer): + """ + Format like this: + <|begin_of_text|><|start_header_id|>system<|end_header_id|> + + You are a helpful AI assistant for travel tips and recommendations<|eot_id|><|start_header_id|>user<|end_header_id|> + + What can you help me with?<|eot_id|><|start_header_id|>assistant<|end_header_id|> + + """ + + def _render_message(self, message: Message) -> tuple[list[int], list[int], list[int]]: + assert message.get("thinking") is None, "CoT tokens not supported in Llama3" + ob_str = f"<|start_header_id|>{message['role']}<|end_header_id|>\n\n" + # Observation (prompt) part + ac_str = f"{message['content']}<|eot_id|>" + # Action part + ac_tail_str = "" # No action tail needed for Llama3 format + # Action part that's only included in the last message in SFT + return ( + self.tokenizer.encode(ob_str, add_special_tokens=False), + self.tokenizer.encode(ac_str, add_special_tokens=False), + self.tokenizer.encode(ac_tail_str, add_special_tokens=False), + ) + + def build_supervised_example( + self, + messages: list[Message], + train_on_what: TrainOnWhat = TrainOnWhat.LAST_ASSISTANT_MESSAGE, + ) -> tuple[torch.Tensor, torch.Tensor]: + """ + Get tokens and weights for action corresponding to final message + """ + return build_supervised_example( + self._bos_tokens, + lambda _idx, message: self._render_message(message), + messages, + train_on_what, + ) +``` + +**Key Point:** The EOS token `<|eot_id|>` is included in `ac_str` (action part), which means it gets weight=1 during training. + +--- + +## 2. EOS Token Handling + +### Location: `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/renderers.py` (lines 140-162) + +```python +def parse_response_for_stop_token( + response: list[int], tokenizer: Tokenizer, stop_token: int +) -> tuple[Message, bool]: + """Parse response for a single stop token. + + We expect a properly rendered response to have exactly one stop token; but it may have zero if e.g. the model + ran out of tokens when sampling, which will incur a format error. If there are > 1, there is likely a bug in the + sampler and we should error. + """ + emt_count = response.count(stop_token) + if emt_count == 0: + str_response = tokenizer.decode(response) + logger.debug(f"Response is not a valid assistant response: {str_response}") + return Message(role="assistant", content=str_response), False + elif emt_count == 1: + str_response = tokenizer.decode(response[: response.index(stop_token)]) + return Message(role="assistant", content=str_response), True + else: + raise ValueError( + f"When parsing response, expected to split into 1 or 2 pieces using stop tokens, but got {emt_count}. " + "You probably are using the wrong stop tokens when sampling" + ) +``` + +### Test Coverage (lines 131-172 in test_renderers.py): + +```python +def test_eot_parsing(model_name: str, renderer_name: str): + """Test EOT token parsing behavior for different renderers using real tokenizers.""" + tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=True) + renderer = get_renderer(renderer_name, tokenizer) + + # Get the appropriate EOT token for each renderer + if renderer_name == "llama3": + eot_token = "<|eot_id|>" + elif renderer_name == "qwen3": + eot_token = "<|im_end|>" + elif renderer_name.startswith("gpt_oss"): + eot_token = "<|return|>" + else: + raise ValueError(f"Unknown renderer: {renderer_name}") + + # Test case 1: Normal case with single EOT - should parse correctly + test_response_with_eot = f"53 + 18 = 71{eot_token}" + response_tokens = tokenizer.encode(test_response_with_eot, add_special_tokens=False) + + message, format_correct = renderer.parse_response(response_tokens) + assert message["role"] == "assistant" + assert message["content"] == "53 + 18 = 71" + assert format_correct is True + + # Test case 2: No EOT token - should have format=False + test_response_no_eot = "53 + 18 = 71" + response_tokens_no_eot = tokenizer.encode(test_response_no_eot, add_special_tokens=False) + + message, format_correct = renderer.parse_response(response_tokens_no_eot) + assert message["role"] == "assistant" + assert message["content"] == "53 + 18 = 71" + assert format_correct is False + + # Test case 3: Double EOT token - should raise ValueError + test_response_double_eot = f"53 + 18 = 71{eot_token}{eot_token}" + response_tokens_double_eot = tokenizer.encode( + test_response_double_eot, add_special_tokens=False + ) + + with pytest.raises(ValueError, match="expected to split into 1 or 2 pieces"): + _ = renderer.parse_response(response_tokens_double_eot) +``` + +**Key Findings:** +- When parsing responses, they **strip everything after the EOS token** (line 155: `response[: response.index(stop_token)]`) +- They expect **exactly 0 or 1** EOS tokens (more than 1 raises an error) +- They use this parsing during **inference/evaluation only**, NOT during training data preparation + +--- + +## 3. Suffix Handling After EOS + +### **CRITICAL FINDING: No Suffix Stripping or Validation** + +After extensive search, there is **NO CODE** that: +1. Strips tokens after EOS in training data +2. Checks suffix length after EOS +3. Validates that nothing appears after EOS + +The approach is: +1. **During Training**: Include the EOS token as part of the action tokens with weight=1.0 +2. **During Sampling**: Use `stop` sequences to prevent generation beyond EOS +3. **During Parsing**: Strip everything after EOS when converting tokens back to messages + +### Sampling Configuration (rl_loop.py lines 97-100): + +```python +sampling_params = tinker.types.SamplingParams( + max_tokens=config.max_tokens, + stop=renderer.get_stop_sequences(), +) +``` + +### Stop Sequences by Renderer: + +**Llama3** (renderers.py lines 310-311): +```python +def get_stop_sequences(self) -> list[int]: + return [self._end_message_token] +``` + +**RoleColonRenderer** (renderers.py lines 219-220): +```python +def get_stop_sequences(self) -> list[str]: + return ["\n\nUser:"] +``` + +**Qwen3** (renderers.py lines 391-392): +```python +def get_stop_sequences(self) -> list[int]: + return [self._end_message_token] +``` + +--- + +## 4. Chat Template Handling + +### Location: `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/tests/test_renderers.py` (lines 18-62) + +They **validate against HuggingFace's `apply_chat_template`** but don't use it directly: + +```python +def test_generation_against_hf_chat_templates(model_name: str): + """Test generation prompt against HF chat templates""" + tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=True) + render_name = ( + get_recommended_renderer_name(model_name) + if not model_name.startswith("openai") + else "gpt_oss_medium_reasoning" + ) + cookbook_renderer = get_renderer(render_name, tokenizer) + convo: list[Message] = [ + {"role": "user", "content": "Hello, how are you?"}, + {"role": "assistant", "content": "I'm fine, thank you!"}, + {"role": "user", "content": "What is the capital of France?"}, + ] + + # ... model-specific setup ... + + cookbook_tokens = cookbook_renderer.build_generation_prompt(aug_convo).to_ints() + hf_tokens = tokenizer.apply_chat_template(convo, add_generation_prompt=True) + + assert cookbook_tokens == hf_tokens, ( + f"Cookbook tokens: {cookbook_tokens}\n" + f"Cookbook string: {tokenizer.decode(cookbook_tokens)}\n" + f"HF tokens: {hf_tokens}\n" + f"HF string: {tokenizer.decode(hf_tokens)}" + ) +``` + +**Key Point:** They implement their own renderers but validate that they match HuggingFace's behavior exactly. + +--- + +## 5. RL Data Processing (Mask for Actions) + +### Location: `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/rl/data_processing.py` (lines 89-173) + +For RL training, they create a separate `mask` field (different from supervised `weights`): + +```python +def trajectory_to_data(traj: Trajectory, traj_advantage: float) -> list[tinker.Datum]: + """ + Return one or more Datum objects corresponding to the trajectory. + If the sequence grows by appending, i.e., each successive observation contains + the previous observation+action as a prefix, then we can return a single Datum. + However, if we get a sequence that's not an extension of the previous sequence, + then that results in a new Datum. + """ + + class SequenceAccumulator: + full_sequence: list[FlatObElem] = [] + sampled_logprobs: list[float] = [] + advantages: list[float] = [] + mask: list[float] = [] + + @classmethod + def clear(cls): + cls.full_sequence = [] + cls.sampled_logprobs = [] + cls.advantages = [] + cls.mask = [] + + def make_datum_from_state(): + # TODO: generalize to multimodal + all_tokens_T = _flat_ob_to_model_input(SequenceAccumulator.full_sequence) + input_tokens_T, target_tokens_T = _to_input_targets(all_tokens_T) + sampled_logprobs_T = SequenceAccumulator.sampled_logprobs[1:] + advantages_T = SequenceAccumulator.advantages[1:] + mask_T = SequenceAccumulator.mask[1:] + assert ( + input_tokens_T.length + == len(target_tokens_T) + == len(sampled_logprobs_T) + == len(advantages_T) + == len(mask_T) + ) + return tinker.Datum( + model_input=input_tokens_T, + loss_fn_inputs={ + "target_tokens": TensorData.from_torch(torch.tensor(target_tokens_T)), + "logprobs": TensorData.from_torch(torch.tensor(sampled_logprobs_T)), + "advantages": TensorData.from_torch(torch.tensor(advantages_T)), + "mask": TensorData.from_torch(torch.tensor(mask_T)), + }, + ) + + data: list[tinker.Datum] = [] + for transition in traj.transitions: + ob = transition.ob + ob_flat = _flatten_chunks(ob.chunks) + ac_with_logprobs = transition.ac + if len(SequenceAccumulator.full_sequence) == 0: + delta_ob_flat = ob_flat + elif _is_prefix(SequenceAccumulator.full_sequence, ob_flat): + delta_ob_flat = ob_flat[len(SequenceAccumulator.full_sequence) :] + else: + data.append(make_datum_from_state()) + SequenceAccumulator.clear() + delta_ob_flat = ob_flat + delta_ob_len = _flat_ob_token_len(delta_ob_flat) + SequenceAccumulator.full_sequence.extend(delta_ob_flat) + SequenceAccumulator.full_sequence.extend(ac_with_logprobs.tokens) + SequenceAccumulator.sampled_logprobs.extend( + [0.0] * delta_ob_len + ac_with_logprobs.logprobs + ) + SequenceAccumulator.advantages.extend( + [0] * delta_ob_len + [traj_advantage] * len(ac_with_logprobs.tokens) + ) + SequenceAccumulator.mask.extend([0.0] * delta_ob_len + [1.0] * len(ac_with_logprobs.tokens)) + + if SequenceAccumulator.full_sequence: + data.append(make_datum_from_state()) + + return data +``` + +**Key Point (line 168):** +```python +SequenceAccumulator.mask.extend([0.0] * delta_ob_len + [1.0] * len(ac_with_logprobs.tokens)) +``` + +The mask is set to: +- `0.0` for observation tokens +- `1.0` for action tokens (including any EOS tokens in the action) + +--- + +## 6. Conversion from Tokens to Datum + +### Location: `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/supervised/common.py` (lines 29-56) + +```python +def datum_from_tokens_weights( + tokens: torch.Tensor, + weights: torch.Tensor, + max_length: int | None = None, +) -> tinker.Datum: + if max_length is not None: + tokens = tokens[:max_length] + weights = weights[:max_length] + + input_tokens = tokens[:-1] + target_tokens = tokens[1:] + weights = weights[1:] + + return tinker.Datum( + model_input=tinker.ModelInput.from_ints(tokens=input_tokens.tolist()), + loss_fn_inputs={ + "weights": tinker.TensorData( + data=weights.tolist(), + dtype="float32", + shape=list(weights.shape), + ), + "target_tokens": tinker.TensorData( + data=[int(x) for x in target_tokens.tolist()], + dtype="int64", + shape=list(target_tokens.shape), + ), + }, + ) +``` + +**Key Points:** +- Line 38: `input_tokens = tokens[:-1]` - removes the last token to create input +- Line 39: `target_tokens = tokens[1:]` - shifts by 1 to create targets +- Line 40: `weights = weights[1:]` - shifts weights to align with targets +- No validation for suffix tokens after EOS + +--- + +## 7. Visualization Tool + +### Location: `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/supervised/viz_sft_dataset.py` + +They have a tool to visualize which tokens are masked: + +```python +def run(cfg: Config): + n_examples_total = 100 + common_config = ChatDatasetBuilderCommonConfig( + model_name_for_tokenizer=cfg.model_name, + renderer_name=cfg.renderer_name or model_info.get_recommended_renderer_name(cfg.model_name), + max_length=cfg.max_length, + batch_size=n_examples_total, + ) + dataset_builder = lookup_func( + cfg.dataset_path, default_module="tinker_cookbook.recipes.chat_sl.chat_datasets" + )(common_config=common_config) + assert isinstance(dataset_builder, SupervisedDatasetBuilder) + tokenizer = get_tokenizer(cfg.model_name) + train_dataset, _ = dataset_builder() + batch = train_dataset.get_batch(0) + for datum in batch: + int_tokens = list(datum.model_input.to_ints()) + [ + datum.loss_fn_inputs["target_tokens"].tolist()[-1] + ] + weights = [0.0] + datum.loss_fn_inputs["weights"].tolist() + print(format_colorized(int_tokens, weights, tokenizer)) + input("press enter") +``` + +Color coding in `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/utils/format_colorized.py`: +- **Green**: weight > 0 (trained on) +- **Yellow**: weight = 0 (not trained on) +- **Red**: weight < 0 (shouldn't happen) + +--- + +## Comparison with Forge Implementation + +| Aspect | Tinker-Cookbook | Forge (Current) | +|--------|-----------------|-----------------| +| **Mask Type** | `weights` (float: 0.0 or 1.0) | `loss_mask` (int: 0 or 1) | +| **EOS in Training** | ✅ Included with weight=1.0 | ✅ Included with mask=1 | +| **Suffix Stripping** | ❌ None | ❌ None (previously attempted) | +| **Suffix Validation** | ❌ None | ✅ Checks suffix_len > 0 | +| **Stop Sequences** | ✅ Used during sampling | ✅ Used during sampling | +| **Parse Response** | ✅ Strips after EOS | ✅ Strips after EOS | +| **Multi-turn Support** | ✅ Via `TrainOnWhat` | ✅ Via masking logic | + +--- + +## Recommendations + +Based on tinker-cookbook's approach: + +1. **Remove suffix length validation** - They don't validate that suffix_len > 0, suggesting it's acceptable to have no tokens after EOS in the response + +2. **Keep EOS in training data** - The EOS token should be part of the response with mask=1 + +3. **Rely on stop sequences** - During sampling, the stop sequences will prevent generation beyond EOS + +4. **Use parsing for evaluation** - When converting sampled tokens back to messages, strip everything after EOS + +5. **Consider adding visualization** - Their `format_colorized` utility is useful for debugging masking + +6. **Validate against HF chat templates** - Ensure our rendering matches the model's expected format + +--- + +## Code References + +All file paths are absolute from `/home/felipemello/forge/tinker-cookbook/`: + +- **Core masking logic**: `tinker_cookbook/renderers.py:84-138` +- **EOS handling**: `tinker_cookbook/renderers.py:140-162` +- **RL mask creation**: `tinker_cookbook/rl/data_processing.py:89-173` +- **Datum creation**: `tinker_cookbook/supervised/common.py:29-56` +- **Chat datasets**: `tinker_cookbook/recipes/chat_sl/chat_datasets.py:17-26` +- **Test coverage**: `tinker_cookbook/tests/test_renderers.py:131-172` +- **Visualization**: `tinker_cookbook/supervised/viz_sft_dataset.py:24-45` + +--- + +## Conclusion + +Tinker-cookbook's approach is **simpler and more robust** than attempting to strip suffixes: + +1. They trust the renderer to define the full sequence (including EOS) +2. They use weights/mask to control what gets trained +3. They rely on stop sequences during sampling to prevent over-generation +4. They only strip after EOS during parsing/evaluation, not during data preparation + +This validates our current direction of removing the suffix stripping logic and accepting that some examples may have suffix_len=0. diff --git a/debug/token_accumulator_fn.py b/debug/token_accumulator_fn.py deleted file mode 100644 index 7f99f0110..000000000 --- a/debug/token_accumulator_fn.py +++ /dev/null @@ -1,316 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -from enum import Enum -from functools import lru_cache - - -class SanityCheckMode(Enum): - """Sanity check modes for finalize validation.""" - - STRICT = "strict" - IGNORE_STRIPPABLE = "ignore_strippable" - DISABLE = "disable" - - -@lru_cache(maxsize=1) -def get_assistant_overhead(tokenizer) -> tuple[int, list[int], list[int]]: - """ - Get role header and footer tokens for assistant responses. - - This computes the tokens that wrap assistant content: - - Header: <|im_start|>assistant\n - - Footer: <|im_end|>\n - - Returns: - (overhead_count, header_tokens, footer_tokens) - """ - base = [ - {"role": "system", "content": ""}, - ] - base_tokens = tokenizer.apply_chat_template( - base, add_generation_prompt=False, tokenize=True - ) - - # Use empty content to get pure role headers/footers - with_assistant = base + [{"role": "assistant", "content": ""}] - full_tokens = tokenizer.apply_chat_template( - with_assistant, add_generation_prompt=False, tokenize=True - ) - - # Extract assistant portion (all tokens after base) - assistant_full = full_tokens[len(base_tokens) :] - - # With empty content, all tokens are header + footer - # Typically: header = <|im_start|>assistant\n, footer = <|im_end|>\n - # We need to split them. The footer is usually just the EOS token at the end. - - # Assume last token is EOS (footer), everything else is header - if len(assistant_full) > 0: - header = assistant_full[:-1] - footer = assistant_full[-1:] - else: - # Edge case: no tokens (shouldn't happen) - header = [] - footer = [] - - overhead = len(header) + len(footer) - return overhead, header, footer - - -class TokenAccumulator: - """ - Accumulates tokens during multi-turn rollout. - - Key improvements over prefix matching: - 1. Uses vLLM's token_ids directly (no re-tokenization of assistant content) - 2. Pre-computed role headers avoid chat template re-application - 3. No duplicate tags from Qwen's auto-wrapper behavior - 4. Drops truncated episodes (following industry best practice) - - Instead of re-tokenizing full conversation history each turn, we: - - Use BASE anchor for user messages (O(1) tokenization) - - Use direct tokens + static headers for assistant messages (O(0) tokenization!) - """ - - def __init__( - self, - tokenizer, - messages: list[dict], - max_seq_len: int, - eos_token_id: int, - sanity_check_mode: SanityCheckMode = SanityCheckMode.STRICT, - ): - self.tokenizer = tokenizer - self.max_seq_len = max_seq_len - self.eos_token_id = eos_token_id - self.sanity_check_mode = sanity_check_mode - - self.messages = messages.copy() - self.all_tokens: list[int] = [] - self.response_mask: list[int] = [] - self.logprobs: list[float] = [] - - # Pre-compute assistant role headers/footers - overhead, self.role_header, self.role_footer = get_assistant_overhead(tokenizer) - self.assistant_overhead = overhead - - self.is_truncated = False - self.truncation_reason: str | None = None - - # Setup BASE anchor - if len(messages) == 0: - raise ValueError("Must provide at least system message") - - system_msg = ( - messages[0] - if messages[0]["role"] == "system" - else {"role": "system", "content": ""} - ) - - self.BASE_CHAT_HISTORY = [ - system_msg, - {"role": "user", "content": ""}, - ] - - # Pre-compute slice positions - self.base_tokens_wo_gen = self.tokenizer.apply_chat_template( - self.BASE_CHAT_HISTORY, - add_generation_prompt=False, - tokenize=True, - ) - self.base_len_wo_gen = len(self.base_tokens_wo_gen) - - system_tokens = self.tokenizer.apply_chat_template( - [system_msg], - add_generation_prompt=False, - tokenize=True, - ) - self.system_len = len(system_tokens) - - # Initialize with initial messages - if len(messages) > 0: - initial_tokens = tokenizer.apply_chat_template( - messages, - add_generation_prompt=False, - tokenize=True, - ) - self.all_tokens.extend(initial_tokens) - self.response_mask.extend([0] * len(initial_tokens)) - self.logprobs.extend([0.0] * len(initial_tokens)) - - def get_remaining_budget(self) -> int: - current_with_overhead = len(self.all_tokens) + self.assistant_overhead - return self.max_seq_len - current_with_overhead - - def format_prompt(self) -> str: - """Format prompt for generation.""" - return self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=True, - tokenize=False, - ) - - def add_assistant_response( - self, - response_text: str, - response_token_ids: list[int], - response_logprobs: list[float] | None = None, - ) -> bool: - """ - Add assistant response using DIRECT token extraction. - - This avoids re-applying chat_template on vLLM's response, which prevents - Qwen's auto-wrapper from adding duplicate tags when the - response is truncated mid-tag. - - Args: - response_text: Response text from vLLM (for message log) - response_token_ids: Content token IDs from vLLM (includes tags) - response_logprobs: Logprobs from vLLM (content tokens only) - - Returns: - True if not truncated (episode can continue) - False if truncated (episode should be discarded) - """ - # Check if truncated - if so, REJECT entire episode - is_truncated = ( - len(response_token_ids) > 0 and response_token_ids[-1] != self.eos_token_id - ) - - if is_truncated: - # Mark as truncated but don't accumulate - self.is_truncated = True - self.truncation_reason = "generation_hit_max_tokens" - return False - - # Only handle COMPLETE responses - # Remove EOS from content if present (footer already has it) - content_tokens = response_token_ids - if content_tokens and content_tokens[-1] == self.eos_token_id: - content_tokens = content_tokens[:-1] - - # Combine: header + content (from vLLM) + footer - assistant_tokens = self.role_header + content_tokens + self.role_footer - - # Create logprobs: zeros for headers/footers, actual for content - assistant_logprobs = [0.0] * len(self.role_header) - if response_logprobs is not None: - assistant_logprobs.extend(response_logprobs[: len(content_tokens)]) - else: - assistant_logprobs.extend([0.0] * len(content_tokens)) - assistant_logprobs.extend([0.0] * len(self.role_footer)) - - # Accumulate (all complete responses are trainable, mask=1) - self.all_tokens.extend(assistant_tokens) - self.response_mask.extend([1] * len(assistant_tokens)) - self.logprobs.extend(assistant_logprobs) - - # Add to messages for next prompt - self.messages.append({"role": "assistant", "content": response_text}) - - return True - - def add_user_message(self, content: str) -> bool: - """ - Add user message using BASE anchor. - - Args: - content: User message content - - Returns: - True if successful, False if would exceed budget - """ - self.messages.append({"role": "user", "content": content}) - - # Tokenize system + user to get delta - temp_messages = [ - self.BASE_CHAT_HISTORY[0], - {"role": "user", "content": content}, - ] - full_with_user = self.tokenizer.apply_chat_template( - temp_messages, - add_generation_prompt=False, - tokenize=True, - ) - user_message_tokens = full_with_user[self.system_len :] - - # Check budget - success = True - new_amount_to_add = len(user_message_tokens) + self.assistant_overhead - budget = self.max_seq_len - len(self.all_tokens) - if new_amount_to_add > budget: - self.is_truncated = True - self.truncation_reason = "user_message_length" - success = False - - # Accumulate - maybe_truncated_tokens = user_message_tokens[:budget] - self.all_tokens.extend(maybe_truncated_tokens) - self.response_mask.extend([0] * len(maybe_truncated_tokens)) - self.logprobs.extend([0.0] * len(maybe_truncated_tokens)) - - return success - - def finalize(self, strict: bool = None) -> bool: - """ - Validate token accumulation against ground truth. - - With the v9 fix (direct token extraction), this should ALWAYS match - for complete responses. Any mismatch indicates a bug. - - Args: - strict: Override sanity_check_mode if provided - - Returns: - True if validation passed or skipped, False if mismatch detected - - Raises: - ValueError: If mismatch detected and mode is STRICT - """ - assert len(self.logprobs) == len(self.all_tokens) - assert len(self.logprobs) == len(self.response_mask) - - mode = self.sanity_check_mode - if strict is not None: - mode = SanityCheckMode.STRICT if strict else SanityCheckMode.DISABLE - - if mode == SanityCheckMode.DISABLE: - return True - - ground_truth = self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=False, - tokenize=True, - ) - - if len(self.all_tokens) != len(ground_truth): - diff = len(ground_truth) - len(self.all_tokens) - - # Check if only whitespace differs - if mode == SanityCheckMode.IGNORE_STRIPPABLE: - accumulated_text = self.tokenizer.decode(self.all_tokens) - ground_truth_text = self.tokenizer.decode(ground_truth) - if accumulated_text.strip() == ground_truth_text.strip(): - return True - - error_msg = ( - f"Token accumulation mismatch!\n" - f" Accumulated: {len(self.all_tokens)} tokens\n" - f" Ground truth: {len(ground_truth)} tokens\n" - f" Difference: {diff}\n" - f" Last 20 accumulated: {self.all_tokens[-20:]}\n" - f" Last 20 ground truth: {ground_truth[-20:]}\n" - f" Sanity check mode: {mode.value}" - ) - - if mode == SanityCheckMode.STRICT: - raise ValueError(error_msg) - else: - print(f"⚠️ {error_msg}") - return False - - return True diff --git a/debug/token_accumulator_fn_v2.py b/debug/token_accumulator_fn_v2.py deleted file mode 100644 index 6a6987616..000000000 --- a/debug/token_accumulator_fn_v2.py +++ /dev/null @@ -1,253 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -from enum import Enum - - -class SanityCheckMode(Enum): - """Sanity check modes for finalize validation.""" - - STRICT = "strict" - IGNORE_STRIPPABLE = "ignore_strippable" - DISABLE = "disable" - - -class TokenAccumulator: - """ - Accumulates tokens during multi-turn rollout. - - Simplified V2 approach: - - Use full re-tokenization with prefix matching (always correct) - - Use vLLM's token_ids to find content location - - Map logprobs to matching positions (1:1 with vLLM's token_ids) - - Use 0.0 for role markers/headers/footers - """ - - def __init__( - self, - tokenizer, - messages: list[dict], - max_seq_len: int, - eos_token_id: int, - sanity_check_mode: SanityCheckMode = SanityCheckMode.STRICT, - ): - self.tokenizer = tokenizer - self.max_seq_len = max_seq_len - self.eos_token_id = eos_token_id - self.sanity_check_mode = sanity_check_mode - - self.messages = messages.copy() - self.all_tokens: list[int] = [] - self.response_mask: list[int] = [] - self.logprobs: list[float] = [] - - self.is_truncated = False - self.truncation_reason: str | None = None - - # Initialize with initial messages - if len(messages) > 0: - initial_tokens = tokenizer.apply_chat_template( - messages, - add_generation_prompt=False, - tokenize=True, - ) - self.all_tokens.extend(initial_tokens) - self.response_mask.extend([0] * len(initial_tokens)) - self.logprobs.extend([0.0] * len(initial_tokens)) - - def get_remaining_budget(self) -> int: - """ - Get remaining token budget. - - Use conservative estimate: reserve ~10 tokens for assistant overhead. - """ - estimated_overhead = 10 - return max(0, self.max_seq_len - len(self.all_tokens) - estimated_overhead) - - def format_prompt(self) -> str: - """Format prompt for generation.""" - return self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=True, - tokenize=False, - ) - - def add_assistant_response( - self, - response_text: str, - response_token_ids: list[int], - response_logprobs: list[float] | None = None, - ) -> bool: - """ - Add assistant response using prefix matching. - - Simple approach: - 1. Check truncation using vLLM's token_ids - 2. Use prefix matching to get new tokens (always correct) - 3. Find where vLLM's tokens appear in new tokens - 4. Map logprobs: vLLM's logprobs at matching positions, 0.0 elsewhere - - Args: - response_text: Response text from vLLM - response_token_ids: Token IDs from vLLM (includes EOS if complete) - response_logprobs: Logprobs from vLLM (1:1 with token_ids) - - Returns: - True if not truncated, False if truncated - """ - # Check truncation - is_truncated = ( - len(response_token_ids) > 0 and response_token_ids[-1] != self.eos_token_id - ) - - if is_truncated: - self.is_truncated = True - self.truncation_reason = "generation_hit_max_tokens" - return False - - # Add message - self.messages.append({"role": "assistant", "content": response_text}) - - # Get ground truth tokens via prefix matching - full_tokens = self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=False, - tokenize=True, - ) - new_tokens = full_tokens[len(self.all_tokens) :] - - # Accumulate tokens - self.all_tokens.extend(new_tokens) - self.response_mask.extend([1] * len(new_tokens)) - - # For logprobs: find where vLLM's tokens are in new_tokens - content_start = None - if response_logprobs is not None and len(response_logprobs) == len( - response_token_ids - ): - # Search for vLLM's tokens as a substring - for i in range(len(new_tokens) - len(response_token_ids) + 1): - if new_tokens[i : i + len(response_token_ids)] == response_token_ids: - content_start = i - break - - # Build logprobs array - if content_start is not None: - # Found them! Map logprobs correctly - logprobs = ( - [0.0] * content_start # Role markers before - + response_logprobs # Actual logprobs from vLLM - + [0.0] - * (len(new_tokens) - content_start - len(response_token_ids)) # After - ) - else: - # Fallback: all zeros - logprobs = [0.0] * len(new_tokens) - - self.logprobs.extend(logprobs) - - return True - - def add_user_message(self, content: str, check_budget: bool = True) -> bool: - """ - Add user message using prefix matching. - - Args: - content: User message content - check_budget: Whether to check budget and truncate if necessary - - Returns: - True if successful, False if truncated - """ - # Add message - self.messages.append({"role": "user", "content": content}) - - # Re-tokenize full conversation - full_tokens = self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=False, - tokenize=True, - ) - - # Extract new tokens - new_tokens = full_tokens[len(self.all_tokens) :] - - # Check budget - success = True - if check_budget: - estimated_assistant_overhead = 10 - budget = self.max_seq_len - len(self.all_tokens) - - if len(new_tokens) + estimated_assistant_overhead > budget: - self.is_truncated = True - self.truncation_reason = "user_message_length" - success = False - # Truncate tokens to fit - new_tokens = new_tokens[: max(0, budget - estimated_assistant_overhead)] - - # Accumulate - self.all_tokens.extend(new_tokens) - self.response_mask.extend([0] * len(new_tokens)) - self.logprobs.extend([0.0] * len(new_tokens)) - - return success - - def finalize(self, strict: bool = None) -> bool: - """ - Validate token accumulation against ground truth. - - Args: - strict: Override sanity_check_mode if provided - - Returns: - True if validation passed or skipped, False if mismatch detected - - Raises: - ValueError: If mismatch detected and mode is STRICT - """ - assert len(self.logprobs) == len(self.all_tokens) - assert len(self.logprobs) == len(self.response_mask) - - mode = self.sanity_check_mode - if strict is not None: - mode = SanityCheckMode.STRICT if strict else SanityCheckMode.DISABLE - - if mode == SanityCheckMode.DISABLE: - return True - - ground_truth = self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=False, - tokenize=True, - ) - - if len(self.all_tokens) != len(ground_truth): - diff = len(ground_truth) - len(self.all_tokens) - - # Check if only whitespace differs - if mode == SanityCheckMode.IGNORE_STRIPPABLE: - accumulated_text = self.tokenizer.decode(self.all_tokens) - ground_truth_text = self.tokenizer.decode(ground_truth) - if accumulated_text.strip() == ground_truth_text.strip(): - return True - - error_msg = ( - f"Token accumulation mismatch!\n" - f" Accumulated: {len(self.all_tokens)} tokens\n" - f" Ground truth: {len(ground_truth)} tokens\n" - f" Difference: {diff}\n" - f" Last 20 accumulated: {self.all_tokens[-20:]}\n" - f" Last 20 ground truth: {ground_truth[-20:]}\n" - f" Sanity check mode: {mode.value}" - ) - - if mode == SanityCheckMode.STRICT: - raise ValueError(error_msg) - else: - print(f"⚠️ {error_msg}") - return False - - return True diff --git a/debug/token_accumulator_fn_v3.py b/debug/token_accumulator_fn_v3.py deleted file mode 100644 index 7193afe6a..000000000 --- a/debug/token_accumulator_fn_v3.py +++ /dev/null @@ -1,416 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -from enum import Enum - - -class SanityCheckMode(Enum): - """Sanity check modes for finalize validation.""" - - STRICT = "strict" - IGNORE_STRIPPABLE = "ignore_strippable" - DISABLE = "disable" - - -class TruncationReason(Enum): - """Reason for episode truncation.""" - - max_num_turns = "max_num_turns" - agent_max_length = "agent_max_length" # Agent generation hit max_tokens (no EOS) - tool_max_length = "tool_max_length" # Tool response too long - user_max_length = "user_max_length" # User message too long - - -class TokenAccumulator: - """ - Accumulates tokens during multi-turn rollout using BASE anchor pattern. - - Key insight: Qwen's chat template removes tags from previous assistant - messages when adding new messages. This breaks prefix matching. - - Solution: Never re-tokenize the full conversation. Instead: - 1. Use a fixed BASE conversation [system, empty_user] as anchor - 2. Tokenize only deltas (one new message at a time) - 3. Slice from pre-computed offsets to extract just the new tokens - - This approach: - - Works with Qwen's thinking tag removal - - Minimizes tokenization calls (1 per message instead of full conversation) - - Provides accurate budget tracking - - Truncation behavior (CRITICAL): - ⚠️ ASSISTANT TRUNCATION → EPISODE DROPPED - If vLLM truncates assistant response (no EOS token), the entire - episode is rejected. add_assistant_response() returns False and - nothing is accumulated. - - ✓ USER TRUNCATION → EPISODE CONTINUES WITH TRUNCATION FLAG - If user message would exceed budget, it's truncated to fit. - add_user_message() returns False, sets is_truncated=True, but - the truncated message is accumulated and episode can continue. - - Example - Multi-turn with budget constraints: - ```python - # Initialize with tight budget - messages = [{"role": "system", "content": "You are helpful."}] - acc = TokenAccumulator( - tokenizer=tokenizer, - messages=messages, - max_seq_len=100, # Tight budget - eos_token_id=128001, - ) - # State: all_tokens=[...], len=25 (system prompt) - - # Turn 1: User asks, assistant responds - acc.add_user_message("Say hi") - # State: all_tokens=[..., user_tokens], len=35 - # Remaining budget: 100 - 35 - 6 (overhead) = 59 tokens - - response = llm.generate( - acc.format_prompt(), - max_tokens=acc.get_remaining_budget() # max_tokens=59 - ) - # response.text = "hi" - # response.token_ids = [6151, 128001] # "hi" + EOS - - success = acc.add_assistant_response("hi", response.token_ids) - # success=True (has EOS token, complete response) - # State: all_tokens=[..., user, assistant], len=45 - # is_truncated=False - - # Turn 2: Try to add very long user message - long_msg = "Please explain quantum mechanics in detail..." * 100 - success = acc.add_user_message(long_msg) - # User message is 200 tokens, but only 100-45-6=49 tokens available - # Message is TRUNCATED to fit - # success=False (truncated) - # State: all_tokens=[..., truncated_user_msg], len=94 - # is_truncated=True, truncation_reason=TruncationReason.user_max_length - # ⚠️ Episode is marked truncated but tokens are valid - - # Episode outcome: - # - all_tokens.shape = (94,) - # - response_mask.shape = (94,) # 1s for assistant tokens, 0s elsewhere - # - logprobs.shape = (94,) - # - is_truncated = True - # - Should be DROPPED in training (truncated episodes are invalid) - ``` - - Quick reference for 4 test scenarios: - 1. Complete single turn: success=True, is_truncated=False → ✓ Train - 2. Assistant truncated: success=False → ✗ Drop entire episode - 3. Complete multi-turn: all success=True → ✓ Train - 4. User truncated: success=False, is_truncated=True → ✗ Drop - """ - - def __init__( - self, - tokenizer, - messages: list[dict], - max_seq_len: int, - eos_token_id: int, - sanity_check_mode: SanityCheckMode = SanityCheckMode.STRICT, - ): - self.tokenizer = tokenizer - self.max_seq_len = max_seq_len - self.eos_token_id = eos_token_id - self.sanity_check_mode = sanity_check_mode - - self.messages = messages.copy() - self.all_tokens: list[int] = [] - self.response_mask: list[int] = [] - self.logprobs: list[float] = [] - - self.is_truncated = False - self.truncation_reason: TruncationReason | None = None - - # Setup BASE anchor for delta tokenization - if len(messages) == 0: - raise ValueError("Must provide at least system message") - - system_msg = ( - messages[0] - if messages[0]["role"] == "system" - else {"role": "system", "content": ""} - ) - - # BASE: [system, empty_user] - never changes, so consistent tokenization - self.BASE_CHAT_HISTORY = [ - system_msg, - {"role": "user", "content": ""}, - ] - - # Pre-compute base lengths for slicing - base_wo_gen = tokenizer.apply_chat_template( - self.BASE_CHAT_HISTORY, - add_generation_prompt=False, - tokenize=True, - ) - self.base_wo_gen_len = len(base_wo_gen) - - base_with_gen = tokenizer.apply_chat_template( - self.BASE_CHAT_HISTORY, - add_generation_prompt=True, - tokenize=True, - ) - self.base_with_gen_len = len(base_with_gen) - - # System message length for user message slicing - system_tokens = tokenizer.apply_chat_template( - [system_msg], - add_generation_prompt=False, - tokenize=True, - ) - self.system_len = len(system_tokens) - - # Assistant overhead = generation prompt tokens - self.assistant_overhead = self.base_with_gen_len - self.base_wo_gen_len - - # Initialize with initial messages - if len(messages) > 0: - initial_tokens = tokenizer.apply_chat_template( - messages, - add_generation_prompt=False, - tokenize=True, - ) - - # Check if initial messages exceed budget - if len(initial_tokens) > max_seq_len: - self.is_truncated = True - self.truncation_reason = TruncationReason.user_max_length - # Truncate to fit - initial_tokens = initial_tokens[:max_seq_len] - - self.all_tokens.extend(initial_tokens) - self.response_mask.extend([0] * len(initial_tokens)) - self.logprobs.extend([0.0] * len(initial_tokens)) - - def get_remaining_budget(self) -> int: - """Get remaining token budget accounting for assistant overhead.""" - current_with_overhead = len(self.all_tokens) + self.assistant_overhead - return max(0, self.max_seq_len - current_with_overhead) - - def format_prompt(self) -> str: - """Format prompt for generation.""" - return self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=True, - tokenize=False, - ) - - def add_assistant_response( - self, - response_text: str, - response_token_ids: list[int], - response_logprobs: list[float] | None = None, - ) -> bool: - """ - Add assistant response using BASE anchor delta tokenization. - - Args: - response_text: Response text from vLLM - response_token_ids: Token IDs from vLLM (includes EOS if complete) - response_logprobs: Logprobs from vLLM (1:1 with token_ids) - - Returns: - True if not truncated, False if truncated - """ - # Check truncation - is_truncated = ( - len(response_token_ids) > 0 and response_token_ids[-1] != self.eos_token_id - ) - - if is_truncated: - self.is_truncated = True - self.truncation_reason = TruncationReason.agent_max_length - return False - - # Add message - self.messages.append({"role": "assistant", "content": response_text}) - - # Delta tokenization: [system, empty_user, assistant_new] - temp_messages = [ - self.BASE_CHAT_HISTORY[0], # System - {"role": "user", "content": ""}, # Empty user from base - {"role": "assistant", "content": response_text}, - ] - full_with_assistant = self.tokenizer.apply_chat_template( - temp_messages, - add_generation_prompt=False, - tokenize=True, - ) - - # Extract only assistant tokens (everything after base) - assistant_tokens = full_with_assistant[self.base_wo_gen_len :] - - # Check budget before accumulating - available_space = self.max_seq_len - len(self.all_tokens) - if len(assistant_tokens) > available_space: - # Budget overflow - this shouldn't happen if caller used get_remaining_budget() - # but we need to handle it gracefully - self.is_truncated = True - self.truncation_reason = TruncationReason.agent_max_length - # Remove the message we just added - self.messages.pop() - return False - - # Accumulate tokens - self.all_tokens.extend(assistant_tokens) - self.response_mask.extend([1] * len(assistant_tokens)) - - # Map logprobs: find where vLLM's tokens appear in assistant_tokens - content_start = None - if response_logprobs is not None and len(response_logprobs) == len( - response_token_ids - ): - # Search for vLLM's token_ids as substring - for i in range(len(assistant_tokens) - len(response_token_ids) + 1): - if ( - assistant_tokens[i : i + len(response_token_ids)] - == response_token_ids - ): - content_start = i - break - - # Build logprobs array - if content_start is not None: - # Found exact match - map logprobs correctly - logprobs = ( - [0.0] * content_start # Role markers before - + response_logprobs # Actual logprobs from vLLM - + [0.0] - * (len(assistant_tokens) - content_start - len(response_token_ids)) - ) - else: - # Fallback: all zeros (shouldn't happen with correct implementation) - logprobs = [0.0] * len(assistant_tokens) - - self.logprobs.extend(logprobs) - - return True - - def add_user_message(self, content: str, check_budget: bool = True) -> bool: - """ - Add user message using BASE anchor delta tokenization. - - Args: - content: User message content - check_budget: Whether to check budget and truncate if necessary - - Returns: - True if successful, False if truncated - """ - # Add message - self.messages.append({"role": "user", "content": content}) - - # Delta tokenization: [system, user_new] - temp_messages = [ - self.BASE_CHAT_HISTORY[0], # System - {"role": "user", "content": content}, - ] - full_with_user = self.tokenizer.apply_chat_template( - temp_messages, - add_generation_prompt=False, - tokenize=True, - ) - - # Extract only user message tokens (everything after system) - user_message_tokens = full_with_user[self.system_len :] - - # Check budget - success = True - if check_budget: - new_amount = len(user_message_tokens) + self.assistant_overhead - budget = self.max_seq_len - len(self.all_tokens) - - if new_amount > budget: - self.is_truncated = True - self.truncation_reason = TruncationReason.user_max_length - success = False - # Truncate to fit (if budget allows any tokens) - available = max(0, budget - self.assistant_overhead) - user_message_tokens = user_message_tokens[:available] - - # Accumulate (only if there are tokens to add) - if len(user_message_tokens) > 0: - self.all_tokens.extend(user_message_tokens) - self.response_mask.extend([0] * len(user_message_tokens)) - self.logprobs.extend([0.0] * len(user_message_tokens)) - - return success - - def finalize(self, strict: bool = None) -> bool: - """ - Validate token accumulation. - - Note: With Qwen, ground truth comparison will fail because Qwen removes - tags from previous assistant messages. Our accumulated tokens - are correct (they match what was actually generated). We validate - structure instead of exact token match. - - Args: - strict: Override sanity_check_mode if provided - - Returns: - True if validation passed - - Raises: - ValueError: If critical issues detected - """ - # Always check basic structure - assert len(self.all_tokens) == len(self.response_mask) - assert len(self.all_tokens) == len(self.logprobs) - - # Check we didn't exceed budget - if len(self.all_tokens) > self.max_seq_len: - raise ValueError( - f"Token accumulation exceeded max_seq_len! " - f"{len(self.all_tokens)} > {self.max_seq_len}" - ) - - mode = self.sanity_check_mode - if strict is not None: - mode = SanityCheckMode.STRICT if strict else SanityCheckMode.DISABLE - - if mode == SanityCheckMode.DISABLE: - return True - - # Try ground truth comparison (will fail with Qwen multi-turn) - ground_truth = self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=False, - tokenize=True, - ) - - if len(self.all_tokens) != len(ground_truth): - diff = len(ground_truth) - len(self.all_tokens) - - # Check if only whitespace differs - if mode == SanityCheckMode.IGNORE_STRIPPABLE: - accumulated_text = self.tokenizer.decode(self.all_tokens) - ground_truth_text = self.tokenizer.decode(ground_truth) - if accumulated_text.strip() == ground_truth_text.strip(): - return True - - # Log warning about mismatch - warning_msg = ( - f"Token accumulation mismatch detected:\n" - f" Accumulated: {len(self.all_tokens)} tokens\n" - f" Ground truth: {len(ground_truth)} tokens\n" - f" Difference: {diff}\n" - f" Note: This can happen when the chat template modifies previous messages\n" - f" (e.g., Qwen strips tags). Accumulated tokens are correct\n" - f" (they match what was actually generated)." - ) - - if mode == SanityCheckMode.STRICT: - raise ValueError(warning_msg) - else: - # Just warn and continue (like VERL does) - print(f"⚠️ {warning_msg}") - return True # Still pass validation - - return True diff --git a/debug/token_accumulator_fn_v4.py b/debug/token_accumulator_fn_v4.py index ef22fbd0e..50181c8fd 100644 --- a/debug/token_accumulator_fn_v4.py +++ b/debug/token_accumulator_fn_v4.py @@ -4,6 +4,7 @@ # This source code is licensed under the BSD-style license found in the # LICENSE file in the root directory of this source tree. +import threading from enum import Enum @@ -78,17 +79,22 @@ class TokenAccumulator: ...) """ + # Class-level lock for thread-safe tokenizer access across all instances + _tokenizer_lock = threading.Lock() + def __init__( self, tokenizer, messages: list[dict], max_seq_len: int, eos_token_id: int, + enable_thinking: bool = True, sanity_check_mode: SanityCheckMode = SanityCheckMode.STRICT, ): self.tokenizer = tokenizer self.max_seq_len = max_seq_len self.eos_token_id = eos_token_id + self.enable_thinking = enable_thinking self.sanity_check_mode = sanity_check_mode # Core state @@ -120,7 +126,8 @@ def add_user_message(self, content: str) -> bool: if user_tokens: self.messages.append({"role": "user", "content": content}) - self._accumulate(user_tokens, is_response=False) + mask = [False] * len(user_tokens) + self._accumulate(user_tokens, mask=mask) return len(user_tokens) == original_len @@ -147,21 +154,36 @@ def add_assistant_response( else: self.messages.append({"role": "assistant", "content": response_text}) - # Map logprobs: vLLM returns content tokens only, align from end (EOS) - if response_logprobs and len(response_logprobs) == len(response_token_ids): - prefix_len = len(assistant_tokens) - len(response_token_ids) + # Use pre-calculated generation_prompt_len for prefix + # assistant_tokens includes prefix + content, so we mask prefix as False + prefix_len = self.generation_prompt_len + mask = [False] * prefix_len + [True] * (len(assistant_tokens) - prefix_len) + + # Map logprobs: vLLM returns content tokens only, pad at start for prefix + if ( + response_logprobs + and len(response_logprobs) <= len(assistant_tokens) - prefix_len + ): logprobs = [0.0] * prefix_len + response_logprobs + # Pad any remaining tokens after vLLM tokens (e.g., trailing newline) + remaining = len(assistant_tokens) - prefix_len - len(response_logprobs) + if remaining > 0: + logprobs.extend([0.0] * remaining) else: logprobs = None - self._accumulate(assistant_tokens, is_response=True, logprobs=logprobs) + self._accumulate(assistant_tokens, mask=mask, logprobs=logprobs) return True def format_prompt(self) -> str: """Format current conversation for generation.""" - return self.tokenizer.apply_chat_template( - self.messages, add_generation_prompt=True, tokenize=False - ) + with self._tokenizer_lock: + return self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=True, + tokenize=False, + enable_thinking=self.enable_thinking, + ) def get_remaining_budget(self) -> int: """ @@ -213,19 +235,29 @@ def _setup_anchor(self, messages: list[dict]): # Length of anchor without generation prompt anchor_tokens = self.tokenizer.apply_chat_template( - self.anchor, add_generation_prompt=False, tokenize=True + self.anchor, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.enable_thinking, ) self.anchor_len = len(anchor_tokens) - # Length of anchor WITH generation prompt - difference is the prompt overhead + # Length of anchor WITH generation prompt (VERL approach) anchor_with_gen = self.tokenizer.apply_chat_template( - self.anchor, add_generation_prompt=True, tokenize=True + self.anchor, + add_generation_prompt=True, + tokenize=True, + enable_thinking=self.enable_thinking, ) - self.generation_prompt_len = len(anchor_with_gen) - self.anchor_len + self.anchor_with_gen_len = len(anchor_with_gen) + self.generation_prompt_len = self.anchor_with_gen_len - self.anchor_len # System message length alone (for user message delta slicing), e.g. full[self.system_len:] system_tokens = self.tokenizer.apply_chat_template( - [system_msg], add_generation_prompt=False, tokenize=True + [system_msg], + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.enable_thinking, ) self.system_len = len(system_tokens) @@ -235,7 +267,10 @@ def _initialize_messages(self, messages: list[dict]): return initial_tokens = self.tokenizer.apply_chat_template( - messages, add_generation_prompt=False, tokenize=True + messages, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.enable_thinking, ) if len(initial_tokens) > self.max_seq_len: @@ -243,20 +278,26 @@ def _initialize_messages(self, messages: list[dict]): initial_tokens = initial_tokens[: self.max_seq_len] self.messages = messages.copy() - self._accumulate(initial_tokens, is_response=False) + mask = [False] * len(initial_tokens) + self._accumulate(initial_tokens, mask=mask) def _tokenize_delta(self, message: dict, role: str) -> list[int]: """Tokenize single message using anchor conversation.""" if role == "assistant": temp = [self.anchor[0], {"role": "user", "content": ""}, message] + # Slice from anchor_len to include prefix tokens in accumulated_tokens offset = self.anchor_len else: # user temp = [self.anchor[0], message] offset = self.system_len - full = self.tokenizer.apply_chat_template( - temp, add_generation_prompt=False, tokenize=True - ) + with self._tokenizer_lock: + full = self.tokenizer.apply_chat_template( + temp, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.enable_thinking, + ) return full[offset:] def _truncate_to_fit( @@ -272,11 +313,11 @@ def _truncate_to_fit( return tokens def _accumulate( - self, tokens: list[int], is_response: bool, logprobs: list[float] | None = None + self, tokens: list[int], mask: list[bool], logprobs: list[float] | None = None ): """Add tokens to accumulator.""" self.accumulated_tokens.extend(tokens) - self.response_mask.extend([int(is_response)] * len(tokens)) + self.response_mask.extend(mask) self.logprobs.extend(logprobs or [0.0] * len(tokens)) def _mark_truncated(self, reason: TruncationReason) -> bool: @@ -304,7 +345,10 @@ def _check_ground_truth(self): May fail with chat templates that modify history (e.g., Qwen deletes tokens from older messages. This would cause a disparate between accumulated tokens and tokenized messages, since we accumulated the tokens with the tokens). """ ground_truth = self.tokenizer.apply_chat_template( - self.messages, add_generation_prompt=False, tokenize=True + self.messages, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.enable_thinking, ) if len(self.accumulated_tokens) == len(ground_truth): diff --git a/debug/token_accumulator_fn_v5.py b/debug/token_accumulator_fn_v5.py new file mode 100644 index 000000000..8196faef5 --- /dev/null +++ b/debug/token_accumulator_fn_v5.py @@ -0,0 +1,313 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +import threading +from enum import Enum + + +class SanityCheckMode(Enum): + """Validation mode for finalize().""" + + STRICT = "strict" + DISABLE = "disable" + + +class TruncationReason(Enum): + """Why an episode was truncated.""" + + MAX_TURNS = "max_turns" + AGENT_TOO_LONG = "agent_too_long" + USER_TOO_LONG = "user_too_long" + TOOL_TOO_LONG = "tool_too_long" + + +class TokenAccumulator: + """ + Accumulates tokens during multi-turn RL rollouts using vLLM tokens directly (VERL approach). + + Key design: + - Uses generation tokens from vLLM WITHOUT re-tokenizing (avoids chat template suffix bugs) + - Generation prompt (<|im_start|>assistant\n) computed from anchor, added separately + - Prefix has response_mask=False, vLLM content has response_mask=True + + Usage: + acc = TokenAccumulator(tokenizer, messages=[...], max_seq_len=2048, eos_token_id=...) + acc.add_user_message("Hello") + prompt = acc.format_prompt() + response = model.generate(prompt, max_tokens=acc.get_remaining_budget()) + acc.add_assistant_response(response.token_ids, response.logprobs) + + return Episode( + token_ids=acc.accumulated_tokens, + response_mask=acc.response_mask, + ...) + """ + + _tokenizer_lock = threading.Lock() + + def __init__( + self, + tokenizer, + messages: list[dict], + max_seq_len: int, + eos_token_id: int, + enable_thinking: bool = True, + sanity_check_mode: SanityCheckMode = SanityCheckMode.STRICT, + ): + self.tokenizer = tokenizer + self.max_seq_len = max_seq_len + self.eos_token_id = eos_token_id + self.enable_thinking = enable_thinking + self.sanity_check_mode = sanity_check_mode + + self.messages = [] + self.accumulated_tokens = [] + self.response_mask = [] + self.logprobs = [] + self.is_truncated = False + self.truncation_reason = None + + self._setup_anchor(messages) + self._initialize_messages(messages) + + def add_user_message(self, content: str) -> bool: + """Add user message, truncating to fit budget if necessary. Returns False if truncated.""" + + message = {"role": "user", "content": content} + + with self._tokenizer_lock: + # Tokenize [system, user] to get delta tokens + full = self.tokenizer.apply_chat_template( + [self.anchor[0], message], + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.enable_thinking, + ) + + # Extract only user tokens (remove system prefix) + user_tokens = full[self.system_len :] + + # truncate + budget = self.get_remaining_budget() + original_len = len(user_tokens) + user_tokens = self._truncate_to_fit( + user_tokens, budget, TruncationReason.USER_TOO_LONG + ) + + if user_tokens: + self.messages.append(message) + self._accumulate(user_tokens, mask=[False] * len(user_tokens)) + + # False if truncated + return len(user_tokens) == original_len + + def add_assistant_response( + self, + response_text: str, + response_token_ids: list[int], + response_logprobs: list[float] | None = None, + ) -> bool: + """ + Add assistant response using vLLM tokens directly. + Returns False if truncated (no EOS or budget exceeded). + """ + # Check for truncation + if not response_token_ids or response_token_ids[-1] != self.eos_token_id: + return self._mark_truncated(TruncationReason.AGENT_TOO_LONG) + + # Check budget: generation_prompt + vLLM tokens + total_len = self.generation_prompt_len + len(response_token_ids) + if total_len > self.get_remaining_budget(): + return self._mark_truncated(TruncationReason.AGENT_TOO_LONG) + + # Decode for message log + self.messages.append({"role": "assistant", "content": response_text}) + + # Add generation prompt (not trainable) + self._accumulate( + self.generation_prompt_tokens, + mask=[False] * len(self.generation_prompt_tokens), + logprobs=[0.0] * len(self.generation_prompt_tokens), + ) + + # Add vLLM tokens (trainable) + if response_logprobs and len(response_logprobs) == len(response_token_ids): + logprobs = response_logprobs + else: + logprobs = [0.0] * len(response_token_ids) + + self._accumulate( + response_token_ids, mask=[True] * len(response_token_ids), logprobs=logprobs + ) + + return True + + def format_prompt(self) -> str: + """Format current conversation for generation.""" + with self._tokenizer_lock: + return self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=True, + tokenize=False, + enable_thinking=self.enable_thinking, + ) + + def get_remaining_budget(self) -> int: + """Get remaining tokens. It also reserves space for generation prompt, + e.g. "<|im_start|>assistant\n" """ + used = len(self.accumulated_tokens) + self.generation_prompt_len + return max(0, self.max_seq_len - used) + + def finalize(self) -> bool: + """Validate episode. Returns True if valid.""" + self._check_structure() + # if self.sanity_check_mode != SanityCheckMode.DISABLE: + # self._check_eos_alignment() + return True + + def _setup_anchor(self, messages: list[dict]): + """ + Setup anchor conversation for delta tokenization. + + Delta tokenization: Instead of re-tokenizing the full conversation after each message, + we tokenize only the new message against a fixed anchor ([system, empty_user]). + + Computes: + - generation_prompt_tokens: tokens for "<|im_start|>assistant\n" (added separately from vLLM tokens) + - generation_prompt_len: length of generation prompt (for budget calculation) + - system_len: tokens in [system] alone (for user message delta slicing) + """ + if not messages: + raise ValueError("Must provide at least system message") + + system_msg = ( + messages[0] + if messages[0]["role"] == "system" + else {"role": "system", "content": ""} + ) + + # Anchor: [system, empty_user] - stays constant for consistent tokenization + self.anchor = [system_msg, {"role": "user", "content": ""}] + + # Compute generation prompt tokens from anchor + anchor_without = self.tokenizer.apply_chat_template( + self.anchor, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.enable_thinking, + ) + anchor_with = self.tokenizer.apply_chat_template( + self.anchor, + add_generation_prompt=True, + tokenize=True, + enable_thinking=self.enable_thinking, + ) + + # e.g., "<|im_start|>assistant\n" + self.generation_prompt_tokens = anchor_with[len(anchor_without) :] + self.generation_prompt_len = len(self.generation_prompt_tokens) + + # System message length alone (for user message delta slicing) + self.system_len = len( + self.tokenizer.apply_chat_template( + [system_msg], + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.enable_thinking, + ) + ) + + def _initialize_messages(self, messages: list[dict]): + """Initialize conversation with provided messages.""" + if not messages: + return + + initial_tokens = self.tokenizer.apply_chat_template( + messages, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.enable_thinking, + ) + + if len(initial_tokens) > self.max_seq_len: + self._mark_truncated(TruncationReason.USER_TOO_LONG) + initial_tokens = initial_tokens[: self.max_seq_len] + + self.messages = messages.copy() + self._accumulate(initial_tokens, mask=[False] * len(initial_tokens)) + + def _truncate_to_fit( + self, tokens: list[int], available: int, reason: TruncationReason + ) -> list[int]: + """Truncate tokens to fit available space.""" + if len(tokens) > available: + self._mark_truncated(reason) + return tokens[: max(0, available)] + return tokens + + def _accumulate( + self, tokens: list[int], mask: list[bool], logprobs: list[float] | None = None + ): + """Add tokens to accumulator.""" + self.accumulated_tokens.extend(tokens) + self.response_mask.extend(mask) + self.logprobs.extend(logprobs or [0.0] * len(tokens)) + + def _mark_truncated(self, reason: TruncationReason) -> bool: + """Mark episode as truncated and return False.""" + self.is_truncated = True + self.truncation_reason = reason + return False + + def _check_structure(self): + """Verify basic structural invariants.""" + assert ( + len(self.accumulated_tokens) + == len(self.response_mask) + == len(self.logprobs) + ) + if len(self.accumulated_tokens) > self.max_seq_len: + raise ValueError( + f"Budget overflow: {len(self.accumulated_tokens)} > {self.max_seq_len}" + ) + + # def _check_eos_alignment(self): + # """ + # Verify no tokens after EOS have response_mask=True (the bug we fixed). + + # For each assistant response, the last response_mask=True token must be EOS. + # This ensures we're not training on chat template suffix tokens (like \n after EOS). + # """ + # in_response = False + # last_response_idx = -1 + + # for i, (token, is_response) in enumerate( + # zip(self.accumulated_tokens, self.response_mask) + # ): + # if is_response and not in_response: + # in_response = True + # elif is_response: + # last_response_idx = i + # elif not is_response and in_response: + # # End of response - check last token was EOS + # if ( + # last_response_idx >= 0 + # and self.accumulated_tokens[last_response_idx] != self.eos_token_id + # ): + # raise ValueError( + # f"Response ended at position {last_response_idx} with token " + # f"{self.accumulated_tokens[last_response_idx]}, expected EOS {self.eos_token_id}" + # ) + # in_response = False + # last_response_idx = -1 + + # # Check final response if episode ends mid-response + # if in_response and last_response_idx >= 0: + # if self.accumulated_tokens[last_response_idx] != self.eos_token_id: + # raise ValueError( + # f"Final response ended at position {last_response_idx} with token " + # f"{self.accumulated_tokens[last_response_idx]}, expected EOS {self.eos_token_id}" + # ) diff --git a/debug/token_accumulator_fn_v6.py b/debug/token_accumulator_fn_v6.py new file mode 100644 index 000000000..1cd4e6f44 --- /dev/null +++ b/debug/token_accumulator_fn_v6.py @@ -0,0 +1,636 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Token accumulation for multi-turn RL episodes using vLLM tokens directly. + +See TokenAccumulator class for details. +""" + +import threading +from dataclasses import dataclass +from enum import Enum +from typing import Optional + +import torch + + +class ValidationMode(Enum): + """Validation strictness.""" + + STRICT = "strict" # Raise on failures + WARN = "warn" # Print warnings + OFF = "off" # No validation + + +class TruncationReason(Enum): + """Truncation reason.""" + + USER_TOO_LONG = "user_too_long" + ASSISTANT_TOO_LONG = "assistant_too_long" + TOOL_TOO_LONG = "tool_too_long" + MAX_NUM_TURNS = "max_num_turns" + + +@dataclass +class EpisodeData: + """ + Episode data as tensors, ready for training. + + All tensors have shape (T,) where T is sequence length. + """ + + token_ids: torch.Tensor # dtype=long + response_mask: torch.Tensor # dtype=bool + logprobs: torch.Tensor # dtype=float + is_truncated: bool + truncation_reason: Optional[str] = None + + +class TokenAccumulator: + """ + Accumulate tokens for multi-turn RL episodes using vLLM tokens directly. + + ## Why Delta Tokenization? + + vLLM only returns assistant response tokens. We need the full conversation with + chat template tokens for training. We can't re-tokenize because it's expensive + and error-prone. + + **What we get from vLLM:** + ``` + response_tokens = [791, 19, 374, 220, 2] # ["The", "answer", "is", "4", ""] + ``` + + **What we need for training:** + ``` + [1, 2, 3] # ["You", "are", "helpful"] (not trainable) + [10, 11, 12, 13] # ["What", "is", "2+2", "?"] (not trainable) + [150, 123] # ["<|im_start|>", "assistant"] (not trainable) + [791, 19, 374, 220, 2] # ["The", "answer", "is", "4", eos] (TRAINABLE!) + [151] # ["<|im_end|>"] (not trainable, Qwen only) + ``` + + **Solution:** Use an anchor conversation [system, empty_user] that never changes. + Tokenize new messages against it and extract deltas. For assistant responses, + add generation prompt prefix and any model-specific suffix. + + ## Truncation Behavior + + - **add_user**: If truncated, adds partial message (truncated to fit budget) + - **add_assistant**: If truncated, DROPS entire response (nothing added) + - Once truncated, all subsequent adds will fail (return False) + + ## Usage + + ```python + acc = TokenAccumulator(tok, [{"role": "system", "content": "Help"}], 2048, eos_id=2) + + # Add messages + acc.add_user("What is 2+2?") + prompt = acc.format_prompt() + response = vllm_generate(prompt) + acc.add_assistant(response.text, response.token_ids, response.logprobs) + + # Show what will be trained on + acc.show_messages() + + # Get episode data as tensors + episode = acc.get_data() + # episode.token_ids: torch.Tensor (long) + # episode.response_mask: torch.Tensor (bool, True = trainable) + # episode.logprobs: torch.Tensor (float) + ``` + + Args: + tokenizer: HuggingFace tokenizer with apply_chat_template + messages: Initial messages (must include system message) + max_len: Maximum sequence length + eos_id: End-of-sequence token ID + thinking: Enable tags for Qwen models + validation: Validation mode (STRICT, WARN, OFF) + """ + + def __init__( + self, + tokenizer, + messages: list[dict], + max_len: int, + eos_id: int, + thinking: bool = True, + validation: ValidationMode = ValidationMode.STRICT, + ) -> None: + self._validate_init(tokenizer, messages, max_len, eos_id) + + self.tokenizer = tokenizer + self.max_len = max_len + self.eos_id = eos_id + self.thinking = thinking + self.validation = validation + + # State + self.messages: list[dict] = [] + self._tokens: list[int] = [] + self._mask: list[bool] = [] + self._logprobs: list[float] = [] + self.truncated: bool = False + self.truncation_reason: Optional[TruncationReason] = None + + # Track message boundaries for efficient validation + # Each entry: (end_idx, role, should_end_with_eos) + self._message_ends: list[tuple[int, str, bool]] = [] + + # Thread safety + self._lock = threading.Lock() + + # Setup + self._setup_anchor(messages) + self._init_messages(messages) + + def __repr__(self) -> str: + status = f", truncated" if self.truncated else "" + return f"TokenAccumulator({len(self._tokens)}/{self.max_len}{status})" + + @property + def budget(self) -> int: + """Remaining token budget.""" + return max(0, self.max_len - len(self._tokens) - self.gen_prompt_len) + + def add_user(self, content: str) -> bool: + """ + Add user message. If truncated, adds partial message (truncated to fit). + + Returns: + True if not truncated, False if truncated + """ + if not isinstance(content, str): + raise TypeError(f"content must be str, got {type(content)}") + + msg = {"role": "user", "content": content} + + # Tokenize [system, user] and extract delta + with self._lock: + full = self.tokenizer.apply_chat_template( + [self.anchor[0], msg], + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + # Extract user tokens by slicing off system prefix + tokens = full[self.sys_len :] + + if not tokens: + return True + + # Check budget + budget = self.budget + if budget <= 0: + self._mark_truncated(TruncationReason.USER_TOO_LONG) + return False + + # Truncate if needed (still adds partial) + was_truncated = len(tokens) > budget + if was_truncated: + tokens = tokens[:budget] + self._mark_truncated(TruncationReason.USER_TOO_LONG) + + self.messages.append(msg) + self._add_tokens(tokens, trainable=False, role="user", ends_with_eos=False) + + return not was_truncated + + def add_assistant( + self, text: str, token_ids: list[int], logprobs: Optional[list[float]] = None + ) -> bool: + """ + Add assistant response from vLLM. If truncated, DROPS entire response (nothing added). + + Args: + text: Response text (for message log) + token_ids: Token IDs from vLLM (must end with EOS) + logprobs: Log probabilities (optional) + + Returns: + False if truncated/invalid (response dropped), True if added successfully + """ + # Type validation + if not isinstance(text, str): + raise TypeError(f"text must be str, got {type(text)}") + if not isinstance(token_ids, list): + raise TypeError(f"token_ids must be list, got {type(token_ids)}") + + # Must have tokens and end with EOS + if not token_ids: + return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) + if token_ids[-1] != self.eos_id: + return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) + + # Check budget: generation_prompt + response + suffix + total_len = self.gen_prompt_len + len(token_ids) + len(self.suffix) + if total_len > self.budget: + return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) + + # Validate logprobs if provided + if logprobs is not None: + if not isinstance(logprobs, list): + raise TypeError(f"logprobs must be list or None") + if len(logprobs) != len(token_ids): + raise ValueError( + f"logprobs length mismatch: {len(logprobs)} != {len(token_ids)}" + ) + + self.messages.append({"role": "assistant", "content": text}) + + # Generation prompt (not trainable) + self._add_tokens( + self.gen_prompt_tokens, + trainable=False, + logprobs=[0.0] * len(self.gen_prompt_tokens), + role="assistant_prompt", + ends_with_eos=False, + ) + + # Response tokens (trainable) + self._add_tokens( + token_ids, + trainable=True, + logprobs=logprobs, + role="assistant", + ends_with_eos=True, + ) + + # Suffix if needed (not trainable) + if self.suffix: + self._add_tokens( + self.suffix, + trainable=False, + logprobs=[0.0] * len(self.suffix), + role="assistant_suffix", + ends_with_eos=False, + ) + + return True + + def format_prompt(self) -> str: + """Format conversation for vLLM generation.""" + with self._lock: + return self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=True, + tokenize=False, + enable_thinking=self.thinking, + ) + + def get_data(self) -> EpisodeData: + """ + Convert to tensors, validate, and return episode data. + + Returns: + EpisodeData with torch tensors + + Raises: + AssertionError/ValueError: If validation fails in STRICT mode + """ + # Convert to tensors + token_ids = torch.tensor(self._tokens, dtype=torch.long) + response_mask = torch.tensor(self._mask, dtype=torch.bool) + logprobs = torch.tensor(self._logprobs, dtype=torch.float) + + # Validate on tensors + if self.validation != ValidationMode.OFF: + self._validate(token_ids, response_mask, logprobs) + + return EpisodeData( + token_ids=token_ids, + response_mask=response_mask, + logprobs=logprobs, + is_truncated=self.truncated, + truncation_reason=( + self.truncation_reason.value if self.truncation_reason else None + ), + ) + + def show_messages(self, max_chars: int = 5000) -> None: + """ + Show token stream with trainability highlighted. + + Uses colored text runs for readability (similar to tinker-cookbook's format_colorized). + Groups consecutive tokens with same trainability and decodes together for proper + multi-byte character handling. + + Args: + max_chars: Maximum characters to show in decoded output (default: 5000) + """ + print("=" * 80) + print(f"TokenAccumulator: {len(self._tokens)}/{self.max_len} tokens") + trainable_count = sum(self._mask) + trainable_pct = 100 * trainable_count / len(self._tokens) if self._tokens else 0 + print( + f"Trainable: {trainable_count}/{len(self._tokens)} ({trainable_pct:.1f}%)" + ) + print("=" * 80) + + if not self._tokens: + print("(no tokens)") + print("=" * 80) + return + + # Show messages list + print("\nMessages:") + for i, msg in enumerate(self.messages): + role = msg["role"] + content = msg["content"] + preview = content[:100] + "..." if len(content) > 100 else content + print(f" [{i}] {role:10s} {preview!r}") + + # Show colorized token stream + print("\nToken stream:") + self._show_colorized_token_stream(max_chars) + + print("=" * 80) + + def _show_colorized_token_stream(self, max_chars: int) -> None: + """ + Show full token stream with color coding by trainability. + + Groups consecutive tokens with same trainability into "runs" and decodes + them together. This handles multi-byte characters correctly. + """ + chunks = [] + current_ids = [] + current_trainable = None + total_chars = 0 + + def flush_run(): + nonlocal total_chars + if not current_ids: + return + + # Decode entire run at once + with self._lock: + decoded = self.tokenizer.decode(current_ids) + + # Check if we've exceeded max_chars + if total_chars >= max_chars: + return + + # Truncate if needed + if total_chars + len(decoded) > max_chars: + remaining = max_chars - total_chars + decoded = decoded[:remaining] + "..." + + total_chars += len(decoded) + + # Color based on trainability + if current_trainable: + color_code = "\033[92m" # Green for trainable + symbol = "✓" + else: + color_code = "\033[90m" # Gray for not trainable + symbol = "·" + + # Escape special characters for display + decoded_repr = repr(decoded)[1:-1] # Remove outer quotes + chunks.append(f"{color_code}{symbol} {decoded_repr}\033[0m") + + # Group tokens into runs + for i in range(len(self._tokens)): + trainable = self._mask[i] + + # Flush when trainability changes + if trainable != current_trainable and current_ids: + flush_run() + current_ids = [] + + current_ids.append(self._tokens[i]) + current_trainable = trainable + + # Flush final run + flush_run() + + # Print runs + if chunks: + print(" " + " ".join(chunks)) + + if total_chars >= max_chars: + print(f"\n (output truncated at {max_chars} chars)") + + def _show_colorized_tokens(self, start_idx: int, end_idx: int) -> None: + """ + DEPRECATED: Old method, kept for compatibility. + Use _show_colorized_token_stream instead. + """ + pass + + # Internal helpers + def _validate_init( + self, tokenizer, messages: list[dict], max_len: int, eos_id: int + ) -> None: + """Validate initialization parameters.""" + if not hasattr(tokenizer, "apply_chat_template"): + raise ValueError("Tokenizer must have apply_chat_template method") + if not messages: + raise ValueError("Must provide at least a system message") + if not isinstance(messages, list): + raise TypeError(f"messages must be list, got {type(messages)}") + for i, msg in enumerate(messages): + if not isinstance(msg, dict): + raise TypeError(f"Message {i} must be dict") + if "role" not in msg or "content" not in msg: + raise ValueError(f"Message {i} missing 'role' or 'content'") + if not isinstance(max_len, int) or max_len <= 0: + raise ValueError(f"max_len must be positive int, got {max_len}") + if not isinstance(eos_id, int): + raise TypeError(f"eos_id must be int, got {type(eos_id)}") + + def _setup_anchor(self, msgs: list[dict]) -> None: + """ + Setup anchor for delta tokenization and compute suffix. + + The suffix is anything after EOS in the chat template. We create a test + conversation with EOS and extract any tokens that follow it. + """ + sys = ( + msgs[0] + if msgs[0]["role"] == "system" + else {"role": "system", "content": ""} + ) + self.anchor = [sys, {"role": "user", "content": ""}] + + with self._lock: + # Compute generation prompt + without = self.tokenizer.apply_chat_template( + self.anchor, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + with_gen = self.tokenizer.apply_chat_template( + self.anchor, + add_generation_prompt=True, + tokenize=True, + enable_thinking=self.thinking, + ) + self.gen_prompt_tokens = with_gen[len(without) :] + self.gen_prompt_len = len(self.gen_prompt_tokens) + + # Compute system length + sys_tokens = self.tokenizer.apply_chat_template( + [sys], + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + self.sys_len = len(sys_tokens) + + # Compute suffix by tokenizing a test conversation + test_conv = [ + sys, + {"role": "user", "content": "test"}, + {"role": "assistant", "content": "response"}, + ] + test_tokens = self.tokenizer.apply_chat_template( + test_conv, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + + # Find last EOS + eos_idx = -1 + for i in range(len(test_tokens) - 1, -1, -1): + if test_tokens[i] == self.eos_id: + eos_idx = i + break + + # Extract suffix (everything after EOS, or empty if nothing) + if eos_idx >= 0 and eos_idx < len(test_tokens) - 1: + self.suffix = test_tokens[eos_idx + 1 :] + else: + self.suffix = [] + + def _init_messages(self, msgs: list[dict]) -> None: + """Initialize with starting messages.""" + if not msgs: + return + + with self._lock: + tokens = self.tokenizer.apply_chat_template( + msgs, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + + if len(tokens) > self.max_len: + self._mark_truncated(TruncationReason.USER_TOO_LONG) + tokens = tokens[: self.max_len] + + self.messages = msgs.copy() + self._add_tokens(tokens, trainable=False, role="initial", ends_with_eos=False) + + def _add_tokens( + self, + tokens: list[int], + trainable: bool, + logprobs: Optional[list[float]] = None, + role: str = "", + ends_with_eos: bool = False, + ) -> None: + """Add tokens to parallel arrays and track message boundary.""" + if not tokens: + return + + self._tokens.extend(tokens) + self._mask.extend([trainable] * len(tokens)) + self._logprobs.extend(logprobs if logprobs else [0.0] * len(tokens)) + + # Track message end for validation + end_idx = len(self._tokens) - 1 + self._message_ends.append((end_idx, role, ends_with_eos)) + + def _mark_truncated(self, reason: TruncationReason) -> bool: + """Mark as truncated.""" + self.truncated = True + self.truncation_reason = reason + return False + + def _validate( + self, + token_ids: torch.Tensor, + response_mask: torch.Tensor, + logprobs: torch.Tensor, + ) -> None: + """ + Run validation checks on tensors. + + Args: + token_ids: Token IDs tensor (shape: T) + response_mask: Response mask tensor (shape: T) + logprobs: Log probabilities tensor (shape: T) + """ + # Check 1: Shapes match + if not (token_ids.shape == response_mask.shape == logprobs.shape): + raise AssertionError( + f"Shape mismatch: token_ids={token_ids.shape}, " + f"mask={response_mask.shape}, logprobs={logprobs.shape}" + ) + + # Check 2: Budget not exceeded + if len(token_ids) > self.max_len: + raise ValueError(f"Budget overflow: {len(token_ids)} > {self.max_len}") + + # Check 3: Message boundaries are correct + for end_idx, role, should_end_with_eos in self._message_ends: + if should_end_with_eos: + # Token at end_idx should be eos_id + if token_ids[end_idx].item() != self.eos_id: + msg = f"{role} at {end_idx} has token {token_ids[end_idx].item()}, expected EOS {self.eos_id}" + if self.validation == ValidationMode.STRICT: + raise ValueError(msg) + print(f"WARNING: {msg}") + + # For assistant: end_idx should be trainable + if role == "assistant" and not response_mask[end_idx].item(): + msg = f"Assistant EOS at {end_idx} is not trainable" + if self.validation == ValidationMode.STRICT: + raise ValueError(msg) + print(f"WARNING: {msg}") + + # Token after EOS should not be trainable + if end_idx + 1 < len(token_ids) and response_mask[end_idx + 1].item(): + msg = ( + f"Token after EOS at {end_idx+1} is trainable (should be False)" + ) + if self.validation == ValidationMode.STRICT: + raise ValueError(msg) + print(f"WARNING: {msg}") + + # Check 4: Prefix consistency (incremental == full tokenization) + # DISABLED: Qwen always adds think tags to LAST assistant message only, + # but in incremental accumulation every assistant response IS the last one + # at the time we add it. This causes mismatches: + # - thinking=True: missing 4 tokens (last gets think tags in full tokenization) + # - thinking=False: extra 4 tokens (first doesn't get think tags in full tokenization) + # This is expected behavior for Qwen and not a bug. + # + # with self._lock: + # full_tokens = self.tokenizer.apply_chat_template( + # self.messages, add_generation_prompt=False, tokenize=True, enable_thinking=self.thinking + # ) + # + # accumulated_len = len(token_ids) + # expected_len = len(full_tokens) + # + # if accumulated_len != expected_len: + # msg = ( + # f"Prefix consistency failed: " + # f"accumulated={accumulated_len} tokens, " + # f"expected={expected_len}" + # ) + # if self.validation == ValidationMode.STRICT: + # raise AssertionError(msg) + # print(f"WARNING: {msg}") diff --git a/debug/token_accumulator_improvement_recommendations.md b/debug/token_accumulator_improvement_recommendations.md new file mode 100644 index 000000000..cece0c855 --- /dev/null +++ b/debug/token_accumulator_improvement_recommendations.md @@ -0,0 +1,1107 @@ +# TokenAccumulator Improvement Recommendations + +## Executive Summary + +This document synthesizes patterns and best practices from 5 major RL libraries (RL/nemo_rl, tinker-cookbook, verl, verifiers, trl) to improve the `TokenAccumulator` class. The goal is to make it: +- **Cleaner**: Better organized with clear documentation +- **Debuggable**: Visual tools and comprehensive logging +- **Safe**: Validation functions and sanity checks +- **Well-documented**: Concise yet comprehensive docs + +--- + +## Table of Contents + +1. [Current State Analysis](#current-state-analysis) +2. [Documentation Patterns](#documentation-patterns) +3. [Validation & Safety Patterns](#validation--safety-patterns) +4. [Debugging Patterns](#debugging-patterns) +5. [Code Organization Patterns](#code-organization-patterns) +6. [Specific Recommendations](#specific-recommendations) +7. [Implementation Roadmap](#implementation-roadmap) + +--- + +## Current State Analysis + +### What Works Well ✓ + +1. **Clear Design Philosophy**: VERL approach using vLLM tokens directly +2. **Anchor System**: Delta tokenization avoids repeated re-tokenization +3. **Budget Management**: Proper tracking with `get_remaining_budget()` +4. **Truncation Handling**: Explicit `TruncationReason` enum +5. **Thread Safety**: Tokenizer lock for concurrent access +6. **Parallel Arrays**: `accumulated_tokens`, `response_mask`, `logprobs` tracked together + +### Areas for Improvement 🔧 + +1. **Documentation**: Missing docstring examples, shape annotations +2. **Validation**: `_check_structure` is minimal, EOS check commented out +3. **Debugging**: No visual tools, limited introspection +4. **Error Messages**: Lack contextual information (current state, indices) +5. **Testing Helpers**: No built-in debugging utilities +6. **Type Safety**: Missing explicit type hints in some methods + +--- + +## Documentation Patterns + +### Pattern 1: Comprehensive Docstrings with Examples + +**From: tinker-cookbook, TRL** + +#### Current Example: +```python +def add_user_message(self, content: str) -> bool: + """Add user message, truncating to fit budget if necessary. Returns False if truncated.""" +``` + +#### Recommended Enhancement: +```python +def add_user_message(self, content: str) -> bool: + """ + Add a user message to the conversation, truncating if it exceeds budget. + + The message is tokenized using the anchor-based delta tokenization approach: + - Tokenizes [system, new_user_message] to get full tokens + - Extracts delta by removing system prefix + - Truncates to fit remaining budget if necessary + + Args: + content (str): The text content of the user message + + Returns: + bool: True if message was added without truncation, False if truncated + + Example: + >>> acc = TokenAccumulator(tokenizer, messages=[{"role": "system", "content": "You are helpful"}], max_seq_len=100, eos_token_id=2) + >>> success = acc.add_user_message("Hello!") + >>> print(success) # True + >>> print(len(acc.accumulated_tokens)) # e.g., 15 + >>> acc.add_user_message("x" * 10000) # Very long message + >>> print(acc.is_truncated) # True + >>> print(acc.truncation_reason) # TruncationReason.USER_TOO_LONG + + Notes: + - If truncation occurs, `is_truncated` is set to True + - Truncated messages are still added (up to available budget) + - The message is appended to `self.messages` for chat template continuity + """ +``` + +**Key Elements:** +- One-line summary first +- Detailed explanation of the approach +- Args/Returns with types +- Concrete example showing usage +- Notes for edge cases + +--- + +### Pattern 2: Module-Level Documentation + +**From: tinker-cookbook, verifiers** + +#### Recommended Addition (at top of file): +```python +""" +Token accumulation for multi-turn RL rollouts with vLLM. + +This module implements the TokenAccumulator class, which handles the complexities of: +- Multi-turn conversation token concatenation +- Response mask creation for loss computation +- vLLM token integration without re-tokenization (prevents chat template bugs) +- Budget management with truncation tracking + +## Key Design Principles + +### Delta Tokenization +Instead of re-tokenizing the entire conversation after each turn, we use an anchor-based +approach. The anchor ([system, empty_user]) stays constant, allowing us to tokenize new +messages against it and extract only the delta tokens. + +### VERL Approach +We use generation tokens from vLLM directly, avoiding re-tokenization that can introduce +misalignments. The generation prompt (e.g., "<|im_start|>assistant\n") is computed from +the anchor and added separately. + +### Response Masking +- Prefix tokens (system, user, generation prompt): `response_mask=False` +- Assistant content from vLLM: `response_mask=True` +- This ensures we only train on model-generated tokens + +## Notation + +We use shape annotations in comments to clarify tensor dimensions: +- `_T`: Token/sequence dimension (e.g., `tokens_T` = list of length T) +- `_B`: Batch dimension (not used in this class, but relevant for downstream) + +## Usage Example + +```python +# Initialize with system message +acc = TokenAccumulator( + tokenizer=tokenizer, + messages=[{"role": "system", "content": "You are a helpful assistant."}], + max_seq_len=2048, + eos_token_id=tokenizer.eos_token_id, +) + +# Multi-turn conversation +acc.add_user_message("What is 2+2?") +prompt = acc.format_prompt() +response = vllm_generate(prompt, max_tokens=acc.get_remaining_budget()) +acc.add_assistant_response(response.text, response.token_ids, response.logprobs) + +# Finalize and extract data +acc.finalize() +episode = Episode( + token_ids=acc.accumulated_tokens, # Shape: (T,) + response_mask=acc.response_mask, # Shape: (T,), bool + logprobs=acc.logprobs, # Shape: (T,), float + is_truncated=acc.is_truncated, +) +``` + +## See Also +- `/debug/test_token_accumulator_validation.py` - Basic validation tests +- `/debug/test_token_accumulator_v2.py` - Integration tests +""" +``` + +--- + +### Pattern 3: Inline Comments Explaining "Why" + +**From: tinker-cookbook, TRL** + +#### Current: +```python +# Extract only user tokens (remove system prefix) +user_tokens = full[self.system_len :] +``` + +#### Enhanced: +```python +# Extract only user tokens (remove system prefix) +# Why: We tokenized [system, user] to leverage chat template, but we only want +# the delta tokens from the user message. System tokens were already added during +# initialization, so we slice them off using the pre-computed system_len anchor. +user_tokens = full[self.system_len :] # Shape: (user_len,) +``` + +--- + +### Pattern 4: Type Annotations Throughout + +**From: TRL, verl** + +#### Current: +```python +def _accumulate( + self, tokens: list[int], mask: list[bool], logprobs: list[float] | None = None +): +``` + +#### Enhanced: +```python +def _accumulate( + self, + tokens: list[int], + mask: list[bool], + logprobs: list[float] | None = None +) -> None: + """ + Append tokens, masks, and logprobs to internal accumulators. + + All three arrays must maintain the same length after appending (verified in _check_structure). + + Args: + tokens: Token IDs to append (shape: T_new) + mask: Response mask values (True for trainable tokens) (shape: T_new) + logprobs: Log probabilities from model (shape: T_new), or None for 0.0 defaults + """ +``` + +--- + +## Validation & Safety Patterns + +### Pattern 1: Multi-Way Equality Assertions + +**From: tinker-cookbook, verl, verifiers** + +#### Current: +```python +def _check_structure(self): + """Verify basic structural invariants.""" + assert ( + len(self.accumulated_tokens) + == len(self.response_mask) + == len(self.logprobs) + ) +``` + +#### Enhanced: +```python +def _check_structure(self) -> None: + """ + Verify basic structural invariants. + + Raises: + AssertionError: If parallel arrays have mismatched lengths or exceed budget + """ + token_len = len(self.accumulated_tokens) + mask_len = len(self.response_mask) + logprob_len = len(self.logprobs) + + # Multi-way equality with diagnostic info + assert token_len == mask_len == logprob_len, ( + f"Parallel array length mismatch:\n" + f" tokens: {token_len}\n" + f" response_mask: {mask_len}\n" + f" logprobs: {logprob_len}\n" + f"All arrays must have the same length." + ) + + # Budget validation + if token_len > self.max_seq_len: + raise ValueError( + f"Budget overflow: {token_len} tokens > max_seq_len={self.max_seq_len}\n" + f"This indicates a bug in budget tracking." + ) +``` + +**Key Improvements:** +- Store lengths in variables for clarity +- Multi-line error message with actual values +- Explains what went wrong AND what should be true + +--- + +### Pattern 2: Incremental Validation After Updates + +**From: verl, verifiers** + +#### Recommended Addition: +```python +def _accumulate( + self, + tokens: list[int], + mask: list[bool], + logprobs: list[float] | None = None +) -> None: + """Append tokens, masks, and logprobs to internal accumulators.""" + # Validate inputs + if not tokens: + raise ValueError("Cannot accumulate empty token list") + + if len(tokens) != len(mask): + raise ValueError( + f"Token/mask length mismatch: {len(tokens)} tokens vs {len(mask)} mask values" + ) + + if logprobs is not None and len(logprobs) != len(tokens): + raise ValueError( + f"Token/logprob length mismatch: {len(tokens)} tokens vs {len(logprobs)} logprobs" + ) + + # Perform accumulation + self.accumulated_tokens.extend(tokens) + self.response_mask.extend(mask) + self.logprobs.extend(logprobs or [0.0] * len(tokens)) + + # Validate invariants after update (only in strict mode for performance) + if self.sanity_check_mode == SanityCheckMode.STRICT: + self._check_structure() +``` + +--- + +### Pattern 3: Prefix Consistency Validation + +**From: verifiers, verl** + +This is CRITICAL for the anchor-based approach. We should validate that tokenizing incrementally produces the same result as tokenizing from scratch. + +#### Recommended Addition: +```python +def _validate_prefix_consistency(self) -> bool: + """ + Validate that incremental tokenization matches full re-tokenization. + + This catches chat template bugs where adding messages doesn't extend the + token sequence as expected. + + Returns: + bool: True if consistent + + Raises: + AssertionError: If tokenization is inconsistent (in STRICT mode) + """ + if self.sanity_check_mode == SanityCheckMode.DISABLE: + return True + + # Re-tokenize entire conversation from scratch + with self._tokenizer_lock: + full_tokens = self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.enable_thinking, + ) + + # Check if accumulated tokens match + if len(full_tokens) != len(self.accumulated_tokens): + error_msg = ( + f"Tokenization inconsistency detected!\n" + f" Incremental approach: {len(self.accumulated_tokens)} tokens\n" + f" Full re-tokenization: {len(full_tokens)} tokens\n" + f"This suggests a chat template bug or anchor drift." + ) + if self.sanity_check_mode == SanityCheckMode.STRICT: + raise AssertionError(error_msg) + else: + print(f"WARNING: {error_msg}") + return False + + # Check token-by-token equality + for i, (acc_token, full_token) in enumerate(zip(self.accumulated_tokens, full_tokens)): + if acc_token != full_token: + error_msg = ( + f"Token mismatch at position {i}:\n" + f" Incremental: {acc_token}\n" + f" Full: {full_token}\n" + f" Context: ...{self.accumulated_tokens[max(0,i-3):i+3]}..." + ) + if self.sanity_check_mode == SanityCheckMode.STRICT: + raise AssertionError(error_msg) + else: + print(f"WARNING: {error_msg}") + return False + + return True +``` + +**Usage:** +```python +def finalize(self) -> bool: + """Validate episode. Returns True if valid.""" + self._check_structure() + + if self.sanity_check_mode != SanityCheckMode.DISABLE: + self._validate_prefix_consistency() + # self._check_eos_alignment() # Re-enable after fixing + + return True +``` + +--- + +### Pattern 4: Input Validation with Actionable Errors + +**From: verifiers, TRL** + +#### Current: +```python +def __init__( + self, + tokenizer, + messages: list[dict], + max_seq_len: int, + eos_token_id: int, + ... +): +``` + +#### Enhanced: +```python +def __init__( + self, + tokenizer, + messages: list[dict], + max_seq_len: int, + eos_token_id: int, + enable_thinking: bool = True, + sanity_check_mode: SanityCheckMode = SanityCheckMode.STRICT, +): + """ + Initialize TokenAccumulator for multi-turn conversation. + + Args: + tokenizer: HuggingFace tokenizer with apply_chat_template support + messages: Initial conversation messages (must include system message) + max_seq_len: Maximum sequence length (hard limit) + eos_token_id: End-of-sequence token ID + enable_thinking: Whether to enable tags (for Qwen models) + sanity_check_mode: Validation strictness (STRICT or DISABLE) + + Raises: + ValueError: If tokenizer is missing required attributes + ValueError: If messages is empty or malformed + ValueError: If max_seq_len is invalid + """ + # Validate tokenizer + if not hasattr(tokenizer, 'apply_chat_template'): + raise ValueError( + "Tokenizer must support apply_chat_template. " + "Please use a recent HuggingFace transformers version (>= 4.34)." + ) + + if not hasattr(tokenizer, 'eos_token_id') and eos_token_id is None: + raise ValueError( + "Either tokenizer.eos_token_id must be set or eos_token_id must be provided." + ) + + # Validate messages + if not messages: + raise ValueError("Must provide at least a system message in messages list.") + + for i, msg in enumerate(messages): + if 'role' not in msg or 'content' not in msg: + raise ValueError( + f"Message at index {i} is malformed. " + f"Expected dict with 'role' and 'content', got: {msg.keys()}" + ) + + # Validate max_seq_len + if max_seq_len <= 0: + raise ValueError(f"max_seq_len must be positive, got {max_seq_len}") + + if max_seq_len > 100000: + print(f"WARNING: max_seq_len={max_seq_len} is very large. Are you sure?") + + # Initialize + self.tokenizer = tokenizer + self.max_seq_len = max_seq_len + self.eos_token_id = eos_token_id + self.enable_thinking = enable_thinking + self.sanity_check_mode = sanity_check_mode + + # ... rest of init +``` + +--- + +## Debugging Patterns + +### Pattern 1: Visual Debug Printing + +**From: RL/nemo_rl, TRL** + +#### Recommended Addition: +```python +def debug_print(self, show_tokens: bool = False, max_turns: int = 5) -> None: + """ + Print current accumulator state for debugging. + + Args: + show_tokens: If True, show actual token IDs (can be verbose) + max_turns: Maximum number of turns to display (prevents spam) + """ + print("=" * 80) + print(f"TokenAccumulator State") + print("=" * 80) + print(f"Total tokens: {len(self.accumulated_tokens)} / {self.max_seq_len}") + print(f"Remaining budget: {self.get_remaining_budget()}") + print(f"Is truncated: {self.is_truncated}") + if self.is_truncated: + print(f"Truncation reason: {self.truncation_reason.value}") + print(f"Num messages: {len(self.messages)}") + print() + + # Print messages + print("Messages:") + print("-" * 80) + for i, msg in enumerate(self.messages[:max_turns]): + role = msg['role'] + content = msg['content'] + # Truncate long content + if len(content) > 100: + content = content[:97] + "..." + print(f" [{i}] {role:10s}: {content}") + + if len(self.messages) > max_turns: + print(f" ... and {len(self.messages) - max_turns} more messages") + print() + + # Print mask statistics + num_trainable = sum(self.response_mask) + num_total = len(self.response_mask) + pct_trainable = 100 * num_trainable / num_total if num_total > 0 else 0 + print(f"Response mask: {num_trainable}/{num_total} trainable ({pct_trainable:.1f}%)") + + # Optionally show tokens + if show_tokens: + print() + print("Accumulated tokens (first 50):") + print(self.accumulated_tokens[:50]) + print() + print("Response mask (first 50):") + print(self.response_mask[:50]) + + print("=" * 80) +``` + +**Usage:** +```python +acc = TokenAccumulator(...) +acc.add_user_message("Hello") +acc.debug_print() # Quick sanity check during development +``` + +--- + +### Pattern 2: Colorized Token Visualization + +**From: tinker-cookbook** + +#### Recommended Addition (Optional, but very helpful): +```python +def visualize_tokens( + self, + max_tokens: int = 200, + use_color: bool = True +) -> str: + """ + Create a colorized visualization of tokens with mask overlay. + + Color scheme: + - Green (or ✓): response_mask=True (trainable) + - Gray (or ·): response_mask=False (not trainable) + + Args: + max_tokens: Maximum tokens to display + use_color: Whether to use ANSI color codes + + Returns: + str: Formatted visualization + """ + if not self.accumulated_tokens: + return "[Empty accumulator]" + + # Decode tokens to text + with self._tokenizer_lock: + decoded_tokens = [ + self.tokenizer.decode([token_id]) + for token_id in self.accumulated_tokens[:max_tokens] + ] + + lines = [] + lines.append("Token Visualization:") + lines.append("-" * 80) + + for i, (token_text, is_response) in enumerate( + zip(decoded_tokens, self.response_mask[:max_tokens]) + ): + # Escape special characters + token_text = repr(token_text)[1:-1] # Remove outer quotes + + if use_color: + # ANSI color codes + if is_response: + color = "\033[92m" # Green + reset = "\033[0m" + marker = "✓" + else: + color = "\033[90m" # Gray + reset = "\033[0m" + marker = "·" + + lines.append(f"{i:4d} {marker} {color}{token_text}{reset}") + else: + marker = "✓" if is_response else "·" + lines.append(f"{i:4d} {marker} {token_text}") + + if len(self.accumulated_tokens) > max_tokens: + lines.append(f"... and {len(self.accumulated_tokens) - max_tokens} more tokens") + + return "\n".join(lines) +``` + +**Usage:** +```python +acc = TokenAccumulator(...) +# ... add messages ... +print(acc.visualize_tokens()) +``` + +--- + +### Pattern 3: Turn Boundary Tracking + +**From: verifiers** + +This helps debug where each message starts/ends in the token sequence. + +#### Recommended Addition: +```python +class TokenAccumulator: + def __init__(self, ...): + # ... existing fields ... + self.turn_boundaries = [] # List of (start_idx, end_idx, role, content_preview) + + def _accumulate( + self, + tokens: list[int], + mask: list[bool], + logprobs: list[float] | None = None, + turn_info: dict | None = None # NEW: optional turn metadata + ) -> None: + """Append tokens, masks, and logprobs to internal accumulators.""" + start_idx = len(self.accumulated_tokens) + + self.accumulated_tokens.extend(tokens) + self.response_mask.extend(mask) + self.logprobs.extend(logprobs or [0.0] * len(tokens)) + + end_idx = len(self.accumulated_tokens) + + # Track turn boundary + if turn_info: + self.turn_boundaries.append({ + "start_idx": start_idx, + "end_idx": end_idx, + "role": turn_info.get("role", "unknown"), + "content_preview": turn_info.get("content", "")[:50], + }) + + def print_turn_boundaries(self) -> None: + """Print turn boundaries for debugging.""" + print("Turn Boundaries:") + print("-" * 80) + for i, turn in enumerate(self.turn_boundaries): + start = turn["start_idx"] + end = turn["end_idx"] + role = turn["role"] + preview = turn["content_preview"] + length = end - start + print(f" [{i}] {role:10s} [{start:4d}:{end:4d}] ({length:3d} tokens) {preview}") + print("-" * 80) +``` + +**Update methods to use it:** +```python +def add_user_message(self, content: str) -> bool: + # ... existing logic ... + if user_tokens: + self.messages.append(message) + self._accumulate( + user_tokens, + mask=[False] * len(user_tokens), + turn_info={"role": "user", "content": content} # NEW + ) + return len(user_tokens) == original_len +``` + +--- + +### Pattern 4: Structured Logging + +**From: tinker-cookbook, verifiers** + +#### Recommended Addition: +```python +def get_debug_summary(self) -> dict: + """ + Get structured debug information (useful for logging systems like wandb). + + Returns: + dict: Summary statistics + """ + num_trainable = sum(self.response_mask) + num_total = len(self.accumulated_tokens) + + # Count message types + role_counts = {} + for msg in self.messages: + role = msg["role"] + role_counts[role] = role_counts.get(role, 0) + 1 + + # Logprob statistics (for trainable tokens only) + trainable_logprobs = [ + lp for lp, mask in zip(self.logprobs, self.response_mask) if mask + ] + + return { + "num_tokens": num_total, + "num_trainable_tokens": num_trainable, + "pct_trainable": 100 * num_trainable / num_total if num_total > 0 else 0, + "num_messages": len(self.messages), + "role_counts": role_counts, + "is_truncated": self.is_truncated, + "truncation_reason": self.truncation_reason.value if self.is_truncated else None, + "budget_used": num_total, + "budget_remaining": self.get_remaining_budget(), + "avg_logprob": sum(trainable_logprobs) / len(trainable_logprobs) if trainable_logprobs else 0.0, + "min_logprob": min(trainable_logprobs) if trainable_logprobs else 0.0, + "max_logprob": max(trainable_logprobs) if trainable_logprobs else 0.0, + } +``` + +**Usage:** +```python +# In training loop +acc = TokenAccumulator(...) +# ... build episode ... +summary = acc.get_debug_summary() +wandb.log({"episode": summary}) +``` + +--- + +## Code Organization Patterns + +### Pattern 1: Helper Functions for Complex Operations + +**From: tinker-cookbook, verifiers** + +Some operations in TokenAccumulator could be extracted into pure functions: + +```python +def _compute_generation_prompt_tokens( + tokenizer, + anchor: list[dict], + enable_thinking: bool +) -> tuple[list[int], int]: + """ + Compute generation prompt tokens from anchor conversation. + + The generation prompt (e.g., "<|im_start|>assistant\n") is the delta between + tokenizing with and without add_generation_prompt=True. + + Args: + tokenizer: HuggingFace tokenizer + anchor: Anchor messages ([system, empty_user]) + enable_thinking: Whether to enable tags + + Returns: + tuple: (generation_prompt_tokens, generation_prompt_len) + """ + anchor_without = tokenizer.apply_chat_template( + anchor, + add_generation_prompt=False, + tokenize=True, + enable_thinking=enable_thinking, + ) + anchor_with = tokenizer.apply_chat_template( + anchor, + add_generation_prompt=True, + tokenize=True, + enable_thinking=enable_thinking, + ) + + generation_prompt_tokens = anchor_with[len(anchor_without):] + generation_prompt_len = len(generation_prompt_tokens) + + return generation_prompt_tokens, generation_prompt_len + + +def _compute_system_len( + tokenizer, + system_msg: dict, + enable_thinking: bool +) -> int: + """ + Compute number of tokens in system message alone. + + Used for slicing user message delta tokens. + """ + return len( + tokenizer.apply_chat_template( + [system_msg], + add_generation_prompt=False, + tokenize=True, + enable_thinking=enable_thinking, + ) + ) +``` + +**Benefits:** +- Easier to test in isolation +- Can be unit tested without full TokenAccumulator setup +- Clearer purpose and reusability + +--- + +### Pattern 2: Separate Validation Class + +**From: verl, TRL** + +For complex validation, consider a separate validator: + +```python +class TokenAccumulatorValidator: + """Validation utilities for TokenAccumulator.""" + + @staticmethod + def check_parallel_arrays( + accumulated_tokens: list[int], + response_mask: list[bool], + logprobs: list[float], + ) -> None: + """Check that parallel arrays have matching lengths.""" + lengths = { + "tokens": len(accumulated_tokens), + "response_mask": len(response_mask), + "logprobs": len(logprobs), + } + + if len(set(lengths.values())) != 1: + raise ValueError( + f"Parallel array length mismatch:\n" + + "\n".join(f" {k}: {v}" for k, v in lengths.items()) + ) + + @staticmethod + def check_eos_alignment( + accumulated_tokens: list[int], + response_mask: list[bool], + eos_token_id: int + ) -> None: + """Verify each response segment ends with EOS.""" + in_response = False + last_response_idx = -1 + + for i, (token, is_response) in enumerate(zip(accumulated_tokens, response_mask)): + if is_response and not in_response: + in_response = True + elif is_response: + last_response_idx = i + elif not is_response and in_response: + # End of response - check last token was EOS + if last_response_idx >= 0 and accumulated_tokens[last_response_idx] != eos_token_id: + raise ValueError( + f"Response ended at position {last_response_idx} with token " + f"{accumulated_tokens[last_response_idx]}, expected EOS {eos_token_id}" + ) + in_response = False + last_response_idx = -1 + + # Check final response + if in_response and last_response_idx >= 0: + if accumulated_tokens[last_response_idx] != eos_token_id: + raise ValueError( + f"Final response ended at position {last_response_idx} with token " + f"{accumulated_tokens[last_response_idx]}, expected EOS {eos_token_id}" + ) + + +# Usage in TokenAccumulator: +def finalize(self) -> bool: + """Validate episode. Returns True if valid.""" + if self.sanity_check_mode == SanityCheckMode.DISABLE: + return True + + TokenAccumulatorValidator.check_parallel_arrays( + self.accumulated_tokens, + self.response_mask, + self.logprobs, + ) + + TokenAccumulatorValidator.check_eos_alignment( + self.accumulated_tokens, + self.response_mask, + self.eos_token_id, + ) + + return True +``` + +--- + +## Specific Recommendations + +### Priority 1: Critical for Correctness ⚠️ + +1. **Re-enable EOS alignment check** (currently commented out) + - This caught real bugs in your investigation + - Make it work properly or replace with equivalent validation + +2. **Add prefix consistency validation** + - Verify incremental tokenization matches full re-tokenization + - Critical for anchor-based approach + +3. **Enhance error messages with context** + - Include actual values, indices, and state + - Make debugging faster + +### Priority 2: Improve Debuggability 🔍 + +4. **Add `debug_print()` method** + - Quick visual inspection during development + - Include token counts, mask stats, truncation info + +5. **Add `visualize_tokens()` method** + - Colorized token-level view + - Helps spot mask alignment issues + +6. **Track turn boundaries** + - Record where each message starts/ends + - Easier to debug token alignment + +7. **Add `get_debug_summary()` for structured logging** + - Integration with wandb/tensorboard + - Track statistics over training + +### Priority 3: Documentation 📚 + +8. **Add module-level docstring** + - Explain design principles (delta tokenization, VERL approach) + - Include usage example + +9. **Enhance method docstrings** + - Add concrete examples + - Document edge cases and return values + +10. **Add inline comments explaining "why"** + - Especially for non-obvious operations + - Shape annotations in comments + +### Priority 4: Nice to Have ✨ + +11. **Extract helper functions** + - `_compute_generation_prompt_tokens()` + - `_compute_system_len()` + - Easier to test and reuse + +12. **Add type hints everywhere** + - Especially return types + - Consider using mypy for static checking + +13. **Create TokenAccumulatorValidator class** + - Separate validation logic + - Easier to extend and test + +--- + +## Implementation Roadmap + +### Phase 1: Critical Fixes (1-2 hours) +- [ ] Fix EOS alignment check or replace with equivalent +- [ ] Add prefix consistency validation +- [ ] Enhance all error messages with context + +### Phase 2: Debugging Tools (2-3 hours) +- [ ] Implement `debug_print()` +- [ ] Implement `get_debug_summary()` +- [ ] Add turn boundary tracking +- [ ] Implement `visualize_tokens()` (optional but helpful) + +### Phase 3: Documentation (1-2 hours) +- [ ] Add module-level docstring with design explanation +- [ ] Enhance all method docstrings with examples +- [ ] Add inline "why" comments for complex sections +- [ ] Add shape annotations + +### Phase 4: Refactoring (2-3 hours) +- [ ] Extract helper functions +- [ ] Add comprehensive type hints +- [ ] Create TokenAccumulatorValidator class (optional) +- [ ] Add performance optimizations if needed + +**Total Estimated Time: 6-10 hours** + +--- + +## Example: Before vs After + +### Before: +```python +def add_user_message(self, content: str) -> bool: + """Add user message, truncating to fit budget if necessary. Returns False if truncated.""" + message = {"role": "user", "content": content} + with self._tokenizer_lock: + full = self.tokenizer.apply_chat_template(...) + user_tokens = full[self.system_len :] + budget = self.get_remaining_budget() + original_len = len(user_tokens) + user_tokens = self._truncate_to_fit(user_tokens, budget, TruncationReason.USER_TOO_LONG) + if user_tokens: + self.messages.append(message) + self._accumulate(user_tokens, mask=[False] * len(user_tokens)) + return len(user_tokens) == original_len +``` + +### After: +```python +def add_user_message(self, content: str) -> bool: + """ + Add a user message to the conversation, truncating if necessary. + + Uses delta tokenization: tokenizes [system, new_user_message] and extracts + only the user message tokens by slicing off the pre-computed system prefix. + + Args: + content: User message text + + Returns: + bool: True if added without truncation, False if truncated + + Example: + >>> acc.add_user_message("Hello!") + True + >>> acc.add_user_message("x" * 10000) # Too long + False + >>> acc.is_truncated + True + """ + message = {"role": "user", "content": content} + + # Tokenize [system, user] to leverage chat template + with self._tokenizer_lock: + full = self.tokenizer.apply_chat_template( + [self.anchor[0], message], + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.enable_thinking, + ) + + # Extract delta: remove system prefix to get only user tokens + # Why: System was already added during initialization, we only want new tokens + user_tokens = full[self.system_len :] # Shape: (user_len,) + + # Check budget and truncate if needed + budget = self.get_remaining_budget() + original_len = len(user_tokens) + + if len(user_tokens) > budget: + user_tokens = self._truncate_to_fit( + user_tokens, budget, TruncationReason.USER_TOO_LONG + ) + + # Add to accumulator (user tokens are not trainable) + if user_tokens: + self.messages.append(message) + self._accumulate( + user_tokens, + mask=[False] * len(user_tokens), # User tokens: response_mask=False + turn_info={"role": "user", "content": content} # For debugging + ) + + return len(user_tokens) == original_len +``` + +**Key Improvements:** +- ✓ Comprehensive docstring with example +- ✓ Inline comments explaining "why" +- ✓ Shape annotations +- ✓ Turn tracking for debugging +- ✓ More descriptive variable usage + +--- + +## Conclusion + +The TokenAccumulator class has a solid foundation with the anchor-based delta tokenization approach. The main improvements needed are: + +1. **Better validation** to catch bugs early (prefix consistency, EOS alignment) +2. **Debugging tools** to make development faster (debug_print, visualize_tokens) +3. **Documentation** to help users understand the design (docstrings, examples, inline comments) + +These improvements will make the class: +- **Safer**: Catch bugs before they cause silent failures +- **Easier to debug**: Visual tools and structured logging +- **Easier to understand**: Clear docs with examples and explanations + +The patterns from these 5 libraries show consistent best practices across the RL community. Implementing these recommendations will bring TokenAccumulator up to production quality standards. diff --git a/debug/trl_mask_diagram.txt b/debug/trl_mask_diagram.txt new file mode 100644 index 000000000..ef913946e --- /dev/null +++ b/debug/trl_mask_diagram.txt @@ -0,0 +1,133 @@ +================================================================================ +TRL Training Mask Architecture: Visual Overview +================================================================================ + +┌─────────────────────────────────────────────────────────────────────────────┐ +│ RAW SEQUENCE EXAMPLE │ +│ │ +│ Prompt: "What is 2+2?" Response: " 4" (generated) │ +│ [2, 264, 318, 399, 16] [449, 20] │ +│ │ +│ After Tokenization & Padding: │ +│ ┌────────────────────────────────────────────────────────────────────────┐│ +│ │ [2, 264, 318, 399, 16, 449, 20, 0, 0, 0] ││ +│ │ └─ Prompt ─┘ └ Response ┘ └─ Padding ─┘ ││ +│ │ length=5 length=2 length=3 ││ +│ └────────────────────────────────────────────────────────────────────────┘│ +└─────────────────────────────────────────────────────────────────────────────┘ + +┌─────────────────────────────────────────────────────────────────────────────┐ +│ MASK CREATION IN TRL │ +│ │ +│ Step 1: Create masks from list of ids │ +│ ┌────────────────────────────────────────────────────────────────────────┐│ +│ │ completion_ids = [449, 20] ││ +│ │ completion_mask = torch.ones_like(completion_ids) = [1, 1] ││ +│ │ ││ +│ │ After padding (right-padding for responses): ││ +│ │ completion_ids = [449, 20, 0, 0, 0] ││ +│ │ completion_mask = [1, 1, 0, 0, 0] ← masks padding ││ +│ └────────────────────────────────────────────────────────────────────────┘│ +│ │ +│ Step 2: Create attention mask for forward pass │ +│ ┌────────────────────────────────────────────────────────────────────────┐│ +│ │ prompt_mask = [1, 1, 1, 1, 1, 0, 0, 0] (left-padded, but no pad) ││ +│ │ completion_mask = [1, 1, 0, 0, 0] ││ +│ │ attention_mask = [1, 1, 1, 1, 1, 1, 1, 0, 0, 0] (concatenated) ││ +│ └────────────────────────────────────────────────────────────────────────┘│ +│ │ +│ Step 3: Optional - mask truncated completions │ +│ ┌────────────────────────────────────────────────────────────────────────┐│ +│ │ if mask_truncated_completions: ││ +│ │ is_truncated = [False] (response ended with EOS naturally) ││ +│ │ completion_mask = completion_mask * (~is_truncated) = [1, 1, 0, 0] ││ +│ │ ││ +│ │ After this, ALL tokens in completion_mask are 1 (not truncated) ││ +│ └────────────────────────────────────────────────────────────────────────┘│ +│ │ +│ Step 4: Optional - entropy-based masking │ +│ ┌────────────────────────────────────────────────────────────────────────┐│ +│ │ if top_entropy_quantile < 1.0: ││ +│ │ entropies = [2.3, 1.1, nan, nan, nan] (per token, with padding nan)││ +│ │ entropy_threshold = 75th percentile = 1.8 ││ +│ │ entropy_mask = (entropies >= 1.8) & completion_mask ││ +│ │ entropy_mask = [True, False, False, False, False] ││ +│ │ ││ +│ │ Only top-entropy tokens contribute to loss ││ +│ └────────────────────────────────────────────────────────────────────────┘│ +└─────────────────────────────────────────────────────────────────────────────┘ + +┌─────────────────────────────────────────────────────────────────────────────┐ +│ LOSS COMPUTATION WITH MASKS │ +│ │ +│ GRPO Loss Formula: │ +│ ┌────────────────────────────────────────────────────────────────────────┐│ +│ │ per_token_logps: [-2.1, -1.8, nan, nan, nan] ││ +│ │ per_token_loss: [0.5, 0.3, 0, 0, 0] (before masking) ││ +│ │ completion_mask: [1, 1, 0, 0, 0] ││ +│ │ ││ +│ │ masked_loss = per_token_loss * completion_mask ││ +│ │ = [0.5, 0.3, 0, 0, 0] ││ +│ │ ││ +│ │ sum(masked_loss) / sum(completion_mask) ││ +│ │ = 0.8 / 2 = 0.4 ← Only response tokens contribute ││ +│ └────────────────────────────────────────────────────────────────────────┘│ +│ │ +│ Different Loss Types (all use completion_mask): │ +│ ┌────────────────────────────────────────────────────────────────────────┐│ +│ │ loss_type='grpo': ││ +│ │ loss = mean([sum(loss_i * mask_i) / sum(mask_i) for each seq i]) ││ +│ │ ││ +│ │ loss_type='dapo': ││ +│ │ loss = sum(all_loss * all_mask) / total_active_tokens_globally ││ +│ │ ││ +│ │ loss_type='dr_grpo': ││ +│ │ loss = sum(all_loss * all_mask) / (batch_size * max_len) ││ +│ │ (eliminates length bias) ││ +│ └────────────────────────────────────────────────────────────────────────┘│ +└─────────────────────────────────────────────────────────────────────────────┘ + +┌─────────────────────────────────────────────────────────────────────────────┐ +│ TRAINABLE vs NON-TRAINABLE POSITIONS │ +│ │ +│ The distinction is simple: │ +│ ┌────────────────────────────────────────────────────────────────────────┐│ +│ │ Prompt tokens: NOT trainable (indices 0-4) ││ +│ │ Response tokens: ALL trainable (indices 5-6) ││ +│ │ Padding tokens: NOT trainable (indices 7-9) ││ +│ │ ││ +│ │ completion_mask marks response tokens: [1, 1, 0, 0, 0] ││ +│ │ Every 1 in the completion_mask is trainable ││ +│ │ Every 0 is effectively frozen (loss * 0 = 0) ││ +│ │ ││ +│ │ → Response tokens === Trainable positions ││ +│ │ → Padding tokens === Non-trainable positions ││ +│ │ → Prompt tokens === Not in completion_mask (separate training) ││ +│ └────────────────────────────────────────────────────────────────────────┘│ +└─────────────────────────────────────────────────────────────────────────────┘ + +┌─────────────────────────────────────────────────────────────────────────────┐ +│ DATA STRUCTURE: EPISODE/TRAJECTORY in GRPO │ +│ │ +│ output_dict = { │ +│ # Core tensors with masks │ +│ 'prompt_ids': (B, P), # Batch, Prompt length │ +│ 'prompt_mask': (B, P), # 1 for valid, 0 for padding │ +│ 'completion_ids': (B, C), # Batch, Completion length │ +│ 'completion_mask': (B, C), # 1 for valid, 0 for padding │ +│ # │ +│ # Advantage signal for policy gradient │ +│ 'advantages': (B,), # Normalized advantage per seq │ +│ 'num_items_in_batch': int, # Total valid tokens for norm │ +│ # │ +│ # Optional: Log probabilities for KL and importance sampling │ +│ 'old_per_token_logps': (B, P+C), # For importance sampling │ +│ 'ref_per_token_logps': (B, P+C), # For KL divergence │ +│ 'importance_sampling_ratio': (B, C), # vLLM correction factor │ +│ } │ +│ │ +│ Note: Missing keys = not needed for this training config │ +│ All tensors moved to device at creation time │ +└─────────────────────────────────────────────────────────────────────────────┘ + +================================================================================ diff --git a/debug/trl_masking_research.md b/debug/trl_masking_research.md new file mode 100644 index 000000000..ae963d463 --- /dev/null +++ b/debug/trl_masking_research.md @@ -0,0 +1,467 @@ +# TRL Multi-Turn Conversation Masking Research + +## Executive Summary + +TRL (Transformers Reinforcement Learning) library handles multi-turn conversation masking in the following key ways: + +1. **EOS Token Masking**: Automatically masks tokens AFTER the first EOS token in completions +2. **Assistant-Only Masking**: Uses `assistant_masks` from tokenizer's chat template for multi-turn conversations +3. **Completion Masking**: Uses `completion_mask` to distinguish prompt from completion in prompt-completion datasets +4. **No Suffix Length Checking**: Does NOT explicitly check or strip tokens after EOS beyond basic masking +5. **Chat Template Integration**: Relies on tokenizer's `apply_chat_template` with `return_assistant_tokens_mask=True` + +--- + +## 1. Completion Mask Creation for Multi-Turn Conversations + +### GRPO Trainer (grpo_trainer.py) + +**File**: `/home/felipemello/forge/trl/trl/trainer/grpo_trainer.py` + +#### Initial Completion Mask Creation (Lines 1470-1473) +```python +# After generation, create initial mask based on actual completion lengths +completion_ids = [torch.tensor(ids, device=device) for ids in completion_ids_list] +completion_mask = [torch.ones_like(ids, dtype=torch.long) for ids in completion_ids] +completion_ids = pad(completion_ids, padding_value=self.pad_token_id, padding_side="right") +completion_mask = pad(completion_mask, padding_value=0, padding_side="right") +``` + +**Key Points**: +- Creates a mask with 1s for all actual completion tokens +- Pads with 0s for padding tokens +- Does NOT differentiate between assistant/user tokens at this stage + +#### Truncated Completion Masking (Lines 1480-1484) +```python +# If mask_truncated_completions is enabled, zero out truncated completions in completion_mask +if self.mask_truncated_completions: + eos_and_pad = [self.eos_token_id, self.pad_token_id] + is_truncated = torch.tensor([ids[-1] not in eos_and_pad for ids in completion_ids_list], device=device) + completion_mask = completion_mask * (~is_truncated).unsqueeze(1).int() +``` + +**Key Points**: +- Optional masking of entire truncated completions +- Checks if last token is EOS or PAD +- If not, masks the ENTIRE completion (sets all to 0) +- This is sequence-level masking, not token-level + +--- + +## 2. How TRL Handles Tokens AFTER EOS in Completions + +### EOS Token Masking During Generation (Lines 1383-1390) + +**File**: `/home/felipemello/forge/trl/trl/trainer/grpo_trainer.py` + +```python +# Mask everything after the first EOS token +is_eos = completion_ids == self.eos_token_id +eos_idx = torch.full((is_eos.size(0),), is_eos.size(1), dtype=torch.long, device=device) +eos_idx[is_eos.any(dim=1)] = is_eos.int().argmax(dim=1)[is_eos.any(dim=1)] +sequence_indices = torch.arange(is_eos.size(1), device=device).expand(is_eos.size(0), -1) +completion_mask = (sequence_indices <= eos_idx.unsqueeze(1)).int() +prompt_ids = [p[m].tolist() for p, m in zip(prompt_ids, prompt_mask.bool(), strict=True)] +completion_ids = [c[m].tolist() for c, m in zip(completion_ids, completion_mask.bool(), strict=True)] +``` + +**Key Points**: +- Finds FIRST EOS token using `argmax` +- Creates mask that includes tokens up to and including the first EOS +- Tokens AFTER first EOS are excluded from completion_ids entirely +- This happens during generation with transformers (non-vLLM path) + +**Behavior**: Tokens after the first EOS are **stripped out** of the completion_ids list, not just masked. + +### RLOO Trainer - Same Pattern + +**File**: `/home/felipemello/forge/trl/trl/trainer/rloo_trainer.py` (Lines 1176-1183) + +```python +# Mask everything after the first EOS token +is_eos = completion_ids == self.eos_token_id +eos_idx = torch.full((is_eos.size(0),), is_eos.size(1), dtype=torch.long, device=device) +eos_idx[is_eos.any(dim=1)] = is_eos.int().argmax(dim=1)[is_eos.any(dim=1)] +sequence_indices = torch.arange(is_eos.size(1), device=device).expand(is_eos.size(0), -1) +completion_mask = (sequence_indices <= eos_idx.unsqueeze(1)).int() +prompt_ids = [p[m].tolist() for p, m in zip(prompt_ids, prompt_mask.bool(), strict=True)] +completion_ids = [c[m].tolist() for c, m in zip(completion_ids, completion_mask.bool(), strict=True)] +``` + +**Identical behavior to GRPO.** + +--- + +## 3. Suffix Length Checking After EOS + +### Answer: NO explicit suffix length checking + +TRL does NOT check or validate suffix length after EOS. Instead: + +1. **During generation (transformers path)**: Tokens after first EOS are stripped (see above) +2. **For vLLM/rollout_func paths**: vLLM handles this internally +3. **For truncation detection**: Only checks if last token is EOS/PAD (Lines 1421-1424) + +```python +# Identify sequences that terminated with EOS and log their lengths +eos_and_pad = [self.eos_token_id, self.pad_token_id] +is_truncated = torch.tensor([ids[-1] not in eos_and_pad for ids in completion_ids], device=device) +agg_is_truncated = self.accelerator.gather(is_truncated) +``` + +**Key Points**: +- No validation of "how many tokens after EOS" +- No error/warning if there are extra tokens after EOS +- Relies on masking to exclude them from loss computation + +--- + +## 4. Chat Template Handling for Multi-Turn Conversations + +### SFT Trainer - Assistant Masks + +**File**: `/home/felipemello/forge/trl/trl/trainer/sft_trainer.py` + +#### Tokenization with Assistant Masking (Lines 969-985) + +```python +prompt_completion_processed = processing_class.apply_chat_template( + prompt + completion, + return_dict=True, + tokenize=True, + return_assistant_tokens_mask=assistant_only_loss, + tools=example.get("tools"), + **example.get("chat_template_kwargs", {}), +) +# Fix transformers inconsistency: for VLMs, apply_chat_template returns lists of lists +# even for single examples, while for LLMs it returns lists of ints. +prompt_completion_processed = { + k: v[0] if isinstance(v[0], list) else v + for k, v in prompt_completion_processed.items() +} +prompt_completion_ids = prompt_completion_processed["input_ids"] +if "assistant_masks" in prompt_completion_processed: + output["assistant_masks"] = prompt_completion_processed["assistant_masks"] +``` + +#### For Language Modeling (Lines 1011-1022) + +```python +processed = processing_class.apply_chat_template( + messages, + return_dict=True, + tokenize=True, + return_assistant_tokens_mask=assistant_only_loss, + tools=example.get("tools"), + **example.get("chat_template_kwargs", {}), +) +# Fix transformers inconsistency: for VLMs, apply_chat_template returns lists of lists +# even for single examples, while for LLMs it returns lists of ints. +processed = {k: v[0] if isinstance(v[0], list) else v for k, v in processed.items()} +output = {k: processed[k] for k in ("input_ids", "assistant_masks") if k in processed} +``` + +**Key Points**: +- Uses `return_assistant_tokens_mask=True` when `assistant_only_loss=True` +- The tokenizer's chat template must support this feature +- Requires `{% generation %}` keyword in the chat template + +#### Assistant Mask Validation (Lines 1026-1032) + +```python +if "assistant_masks" in output and 1 not in output["assistant_masks"]: + raise RuntimeError( + "You're using `assistant_only_loss=True`, but at least one example has no assistant " + "tokens. This usually means the tokenizer's chat template doesn't generate assistant " + "masks — it may be missing the `{% generation %}` keyword. Please check the template and " + "ensure it's correctly configured to support assistant masking." + ) +``` + +### Data Collator - Applying Assistant Masks + +**File**: `/home/felipemello/forge/trl/trl/trainer/sft_trainer.py` (Lines 177-222) + +```python +if "assistant_masks" in examples[0]: + assistant_masks = [torch.tensor(example["assistant_masks"]) for example in examples] + +# ... (padding logic) ... + +if "assistant_masks" in examples[0]: + assistant_masks = pad( + assistant_masks, padding_value=0, padding_side="right", pad_to_multiple_of=self.pad_to_multiple_of + ) + output["labels"][assistant_masks == 0] = -100 +``` + +**Key Points**: +- `assistant_masks` are binary: 1 for assistant tokens, 0 for everything else +- Setting `labels[assistant_masks == 0] = -100` excludes non-assistant tokens from loss +- This handles multi-turn: only assistant responses contribute to loss + +### Chat Template Integration + +TRL relies on Transformers' tokenizer `apply_chat_template` method: + +1. **Input**: List of messages with roles (`user`, `assistant`, `system`) +2. **Output**: + - `input_ids`: Tokenized conversation + - `assistant_masks` (optional): Binary mask for assistant tokens +3. **Template Requirement**: Chat template must include `{% generation %}` tags + +--- + +## 5. Complete Masking Flow for Multi-Turn Conversations + +### For GRPO/RLOO (Online RL) + +1. **Generation Phase** (Lines 1383-1390): + - Generate completions + - Find first EOS token + - Strip tokens after first EOS from completion_ids + +2. **Scoring Phase** (Lines 1470-1473): + - Create completion_mask with 1s for all completion tokens + - Pad with 0s + +3. **Optional Truncation Masking** (Lines 1480-1484): + - If `mask_truncated_completions=True` + - Check if last token is EOS/PAD + - If not, zero out ENTIRE completion + +4. **Loss Computation**: + - `completion_mask` multiplied element-wise with per-token losses + - Example (Line 1856): `loss = ((per_token_loss * completion_mask).sum(-1) / completion_mask.sum(-1).clamp(min=1.0)).mean()` + +### For SFT (Supervised Fine-Tuning) + +1. **Tokenization Phase** (Lines 969-1033): + - Apply chat template with `return_assistant_tokens_mask=True` + - Get `assistant_masks` for multi-turn conversations + - OR get `completion_mask` for prompt-completion format + +2. **Collation Phase** (Lines 177-222): + - Convert masks to tensors + - Pad masks + - Apply to labels: `labels[mask == 0] = -100` + +3. **Loss Computation**: + - Standard cross-entropy loss + - Tokens with `label == -100` are automatically ignored + +--- + +## 6. Key Differences from Other Approaches + +### What TRL Does: + +1. ✅ **Masks tokens after first EOS** (strips them during generation) +2. ✅ **Uses chat template for assistant masking** in multi-turn +3. ✅ **Provides optional truncation masking** (entire sequence) +4. ✅ **Handles both prompt-completion and conversational formats** + +### What TRL Does NOT Do: + +1. ❌ **No suffix length validation** after EOS +2. ❌ **No explicit checking** of how many tokens exist after EOS +3. ❌ **No warnings/errors** if suffix after EOS is non-zero +4. ❌ **No token-level truncation masking** (only sequence-level) + +--- + +## 7. Code Examples + +### Example 1: Creating Completion Mask in GRPO + +**Location**: `/home/felipemello/forge/trl/trl/trainer/grpo_trainer.py:1470-1473` + +```python +# Convert lists of token IDs to padded tensors +prompt_ids = [torch.tensor(ids, device=device) for ids in prompt_ids_list] +prompt_mask = [torch.ones_like(ids, dtype=torch.long) for ids in prompt_ids] +prompt_ids = pad(prompt_ids, padding_value=self.pad_token_id, padding_side="left") +prompt_mask = pad(prompt_mask, padding_value=0, padding_side="left") +completion_ids = [torch.tensor(ids, device=device) for ids in completion_ids_list] +completion_mask = [torch.ones_like(ids, dtype=torch.long) for ids in completion_ids] +completion_ids = pad(completion_ids, padding_value=self.pad_token_id, padding_side="right") +completion_mask = pad(completion_mask, padding_value=0, padding_side="right") +``` + +### Example 2: Stripping Tokens After EOS + +**Location**: `/home/felipemello/forge/trl/trl/trainer/grpo_trainer.py:1383-1390` + +```python +# Mask everything after the first EOS token +is_eos = completion_ids == self.eos_token_id +# Initialize eos_idx to sequence length (no EOS found) +eos_idx = torch.full((is_eos.size(0),), is_eos.size(1), dtype=torch.long, device=device) +# For sequences with EOS, find the first occurrence +eos_idx[is_eos.any(dim=1)] = is_eos.int().argmax(dim=1)[is_eos.any(dim=1)] +# Create sequence indices [0, 1, 2, ..., seq_len-1] +sequence_indices = torch.arange(is_eos.size(1), device=device).expand(is_eos.size(0), -1) +# Mask includes tokens up to and including first EOS +completion_mask = (sequence_indices <= eos_idx.unsqueeze(1)).int() +# Extract only the masked tokens +prompt_ids = [p[m].tolist() for p, m in zip(prompt_ids, prompt_mask.bool(), strict=True)] +completion_ids = [c[m].tolist() for c, m in zip(completion_ids, completion_mask.bool(), strict=True)] +``` + +### Example 3: Assistant Mask Application in SFT + +**Location**: `/home/felipemello/forge/trl/trl/trainer/sft_trainer.py:218-222` + +```python +if "assistant_masks" in examples[0]: + assistant_masks = pad( + assistant_masks, padding_value=0, padding_side="right", pad_to_multiple_of=self.pad_to_multiple_of + ) + output["labels"][assistant_masks == 0] = -100 +``` + +### Example 4: Completion Mask in Loss Computation + +**Location**: `/home/felipemello/forge/trl/trl/trainer/grpo_trainer.py:1856` + +```python +if self.loss_type == "grpo": + loss = ((per_token_loss * completion_mask).sum(-1) / completion_mask.sum(-1).clamp(min=1.0)).mean() + loss = loss / self.current_gradient_accumulation_steps +``` + +--- + +## 8. Relevant Configuration Options + +### GRPO Configuration + +- `mask_truncated_completions` (bool): Whether to mask entire truncated completions +- `max_completion_length` (int): Maximum length for completions +- `completion_only_loss` (bool): Whether to compute loss only on completions + +### SFT Configuration + +- `assistant_only_loss` (bool): Whether to compute loss only on assistant tokens +- `completion_only_loss` (bool): Whether to compute loss only on completion (for prompt-completion format) +- `max_length` (int): Maximum sequence length + +--- + +## 9. File Reference Map + +| Feature | File | Key Lines | +|---------|------|-----------| +| **GRPO Completion Mask Creation** | `trl/trainer/grpo_trainer.py` | 1470-1473 | +| **GRPO EOS Token Stripping** | `trl/trainer/grpo_trainer.py` | 1383-1390 | +| **GRPO Truncation Masking** | `trl/trainer/grpo_trainer.py` | 1480-1484 | +| **GRPO Loss Computation** | `trl/trainer/grpo_trainer.py` | 1856-1868 | +| **RLOO Completion Mask** | `trl/trainer/rloo_trainer.py` | 1261-1269 | +| **RLOO EOS Token Stripping** | `trl/trainer/rloo_trainer.py` | 1176-1183 | +| **SFT Assistant Mask Creation** | `trl/trainer/sft_trainer.py` | 969-985, 1011-1022 | +| **SFT Completion Mask Creation** | `trl/trainer/sft_trainer.py` | 1000-1003 | +| **Data Collator (Text)** | `trl/trainer/sft_trainer.py` | 85-222 | +| **Data Collator (Vision)** | `trl/trainer/sft_trainer.py` | 253-461 | +| **Chat Template Utilities** | `trl/data_utils.py` | 186-316 | + +--- + +## 10. Recommendations Based on TRL's Approach + +### For Multi-Turn Conversations: + +1. **Use assistant_masks** from chat template (requires proper template with `{% generation %}`) +2. **Do NOT rely on suffix length checking** - TRL doesn't do this +3. **Leverage completion_mask** for prompt-completion format +4. **Trust EOS token stripping** during generation phase + +### For Token-After-EOS Handling: + +1. **TRL strips tokens after first EOS** during generation (transformers path) +2. **vLLM/rollout_func paths** handle this internally +3. **No need for explicit suffix validation** - handled by generation logic + +### For Truncation Handling: + +1. **Use `mask_truncated_completions`** to exclude truncated sequences entirely +2. **Check last token** for EOS/PAD to detect truncation +3. **Sequence-level masking** rather than token-level + +--- + +## 11. Notable Design Choices + +### Why TRL Doesn't Check Suffix Length: + +1. **Generation-time stripping**: Tokens after EOS are removed during generation +2. **Mask-based approach**: Focuses on masking rather than validation +3. **Efficiency**: Avoids extra validation overhead +4. **vLLM handling**: When using vLLM, it manages this internally + +### Why TRL Uses Assistant Masks: + +1. **Multi-turn support**: Natural way to handle conversations with multiple user/assistant turns +2. **Tokenizer integration**: Leverages transformers' built-in chat template system +3. **Flexibility**: Works with any chat template that supports `{% generation %}` + +### Why TRL Has Separate completion_mask and assistant_masks: + +1. **completion_mask**: For prompt-completion format (single turn) +2. **assistant_masks**: For conversational format (multi-turn) +3. **Different use cases**: SFT vs RL training scenarios + +--- + +## 12. Comparison with Potential Alternatives + +### Alternative Approach: Explicit Suffix Validation + +```python +# What TRL DOESN'T do (but could): +for ids in completion_ids_list: + first_eos_idx = (ids == eos_token_id).nonzero(as_tuple=True)[0] + if len(first_eos_idx) > 0: + suffix_len = len(ids) - first_eos_idx[0] - 1 + if suffix_len > 0: + logger.warning(f"Found {suffix_len} tokens after EOS") +``` + +**TRL's approach instead**: Strip during generation, trust the process. + +### Alternative Approach: Token-Level Truncation Masking + +```python +# What TRL DOESN'T do: +# Gradually mask tokens after some threshold, not entire sequence +``` + +**TRL's approach instead**: Sequence-level masking with `mask_truncated_completions`. + +--- + +## 13. Summary Table + +| Aspect | TRL's Approach | File Location | +|--------|----------------|---------------| +| **Completion Mask Creation** | Create 1s for actual tokens, 0s for padding | grpo_trainer.py:1470-1473 | +| **Tokens After EOS** | Strip during generation (transformers path) | grpo_trainer.py:1383-1390 | +| **Suffix Length Checking** | ❌ Not performed | N/A | +| **Chat Template** | Use `apply_chat_template` with `return_assistant_tokens_mask` | sft_trainer.py:969-985 | +| **Multi-Turn Masking** | Use `assistant_masks` from tokenizer | sft_trainer.py:218-222 | +| **Truncation Handling** | Sequence-level masking via `mask_truncated_completions` | grpo_trainer.py:1480-1484 | +| **Loss Computation** | Element-wise multiplication with mask | grpo_trainer.py:1856 | + +--- + +## Conclusion + +TRL's masking approach is **generation-centric** and **mask-based** rather than validation-based: + +1. Tokens after EOS are **stripped during generation** (not validated post-hoc) +2. Multi-turn conversations use **assistant_masks from chat templates** +3. **No explicit suffix length checking** - relies on generation-time handling +4. **Sequence-level truncation masking** available via config option +5. Clean separation between **prompt-completion** (completion_mask) and **conversational** (assistant_masks) formats + +This design prioritizes efficiency and integration with the generation process over explicit validation checks. diff --git a/debug/truncation_reason_simplification.md b/debug/truncation_reason_simplification.md deleted file mode 100644 index 87c91d72d..000000000 --- a/debug/truncation_reason_simplification.md +++ /dev/null @@ -1,184 +0,0 @@ -# TruncationReason Simplification - -**Date:** 2025-01-17 -**Change:** Simplified TruncationReason from dataclass to simple Enum - ---- - -## Before (Overcomplicated) - -```python -@dataclass -class TruncationReason: - type: str - details: str = "" - -# Usage -self.truncation_reason = TruncationReason( - type="generation_hit_max_tokens", - details=f"Response has {len(response_token_ids)} tokens, no EOS" -) - -# Checking -if episode.truncation_reason and episode.truncation_reason.type == "generation_hit_max_tokens": - continue -``` - -**Problems:** -- Verbose dataclass with type/details split -- Need to access `.type` attribute -- Details string is rarely used -- More complex than needed - ---- - -## After (Simple) - -```python -class TruncationReason(Enum): - """Reason for episode truncation.""" - - max_num_turns = "max_num_turns" - agent_max_length = "agent_max_length" # Agent generation hit max_tokens (no EOS) - tool_max_length = "tool_max_length" # Tool response too long - user_max_length = "user_max_length" # User message too long -``` - -### Usage - -```python -# Setting -self.truncation_reason = TruncationReason.agent_max_length - -# Checking -if episode.truncation_reason == TruncationReason.agent_max_length: - continue # Drop episodes with truncated agent responses -``` - -**Benefits:** -- ✅ Simple enum values -- ✅ Direct comparison: `==` instead of `.type ==` -- ✅ Clean: `TruncationReason.agent_max_length` instead of complex dataclass -- ✅ Type-safe: IDE autocomplete and type checking work perfectly - ---- - -## Enum Values - -| Value | Meaning | When Set | -|-------|---------|----------| -| `max_num_turns` | Hit maximum number of turns | User sets during rollout loop | -| `agent_max_length` | Agent response truncated (no EOS) | vLLM hits max_tokens, response has no EOS token | -| `tool_max_length` | Tool response too long | Tool output exceeds budget | -| `user_max_length` | User message too long | User message + overhead > budget, or initial messages > max_seq_len | - ---- - -## Code Changes - -### In TokenAccumulator - -**1. Initial messages too long:** -```python -# Before -self.truncation_reason = TruncationReason( - type="initial_messages_too_long", - details=f"{len(initial_tokens)} tokens > {max_seq_len} max_seq_len" -) - -# After -self.truncation_reason = TruncationReason.user_max_length -``` - -**2. Agent generation truncated:** -```python -# Before -self.truncation_reason = TruncationReason( - type="generation_hit_max_tokens", - details=f"Response has {len(response_token_ids)} tokens, no EOS" -) - -# After -self.truncation_reason = TruncationReason.agent_max_length -``` - -**3. User message truncated:** -```python -# Before -self.truncation_reason = TruncationReason( - type="user_message_length", - details=f"User message {len(user_message_tokens)} tokens..." -) - -# After -self.truncation_reason = TruncationReason.user_max_length -``` - -### In Tests - -```python -# Before -if acc.truncation_reason.type != "user_message_length": - print("ERROR") - -# After -if acc.truncation_reason != TruncationReason.user_max_length: - print("ERROR") -``` - ---- - -## Example Usage in Training Loop - -```python -for episode in episodes: - # Drop all truncated episodes - if episode.is_truncated: - continue - - # Or: Keep some truncations, drop others - if episode.truncation_reason == TruncationReason.agent_max_length: - continue # Drop agent truncations (bad quality) - - if episode.truncation_reason == TruncationReason.user_max_length: - continue # Drop user truncations (incomplete context) - - # max_num_turns might be OK to keep (episode completed normally) - train_on(episode) -``` - ---- - -## Migration - -**Breaking change:** Code that checks `truncation_reason.type` must be updated: - -```python -# Old code (breaks) -if episode.truncation_reason and episode.truncation_reason.type == "generation_hit_max_tokens": - ... - -# New code -if episode.truncation_reason == TruncationReason.agent_max_length: - ... -``` - -**Import change:** -```python -from token_accumulator_fn_v3 import TokenAccumulator, TruncationReason - -# Now TruncationReason is an Enum, not a dataclass -``` - ---- - -## Summary - -**Before:** Complex dataclass with type/details split -**After:** Simple enum with clean values - -Much cleaner! ✨ - ---- - -**End of Document** diff --git a/debug/verify_eos_hypothesis.py b/debug/verify_eos_hypothesis.py new file mode 100644 index 000000000..43f6f48d2 --- /dev/null +++ b/debug/verify_eos_hypothesis.py @@ -0,0 +1,267 @@ +#!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +""" +Verify the EOS hypothesis by decoding tokens and checking response_mask. +""" + +import sys + +import torch + +sys.path.insert(0, "/home/felipemello/forge") +from vllm.transformers_utils.tokenizer import get_tokenizer + +# Load dump +dump_file = ( + sys.argv[1] if len(sys.argv) > 1 else "/tmp/grpo_loss_debug_20251119_140858.pt" +) + +print("=" * 80) +print(f"Loading: {dump_file}") +print("=" * 80) + +data = torch.load(dump_file, map_location="cpu") + +# Get tokenizer +model_name = "Qwen/Qwen2.5-0.5B-Instruct" +tokenizer = get_tokenizer(model_name) +eos_token_id = tokenizer.eos_token_id + +print(f"\nEOS token ID: {eos_token_id}") + +# Extract tensors +input_ids = data["input_ids"] +targets = data["targets"] +loss_mask = data["loss_mask"] +logprobs = data["logprobs"] +ref_logprobs = data["ref_logprobs"] +kl = data["kl"] + +batch_size, seq_len = input_ids.shape +ignore_idx = -100 + +# ============================================================================ +# Step 1: Reconstruct response_mask from loss_mask +# ============================================================================ +print("\n" + "=" * 80) +print("STEP 1: Reconstructing response_mask from loss_mask") +print("=" * 80) + +# loss_mask[i] = response_mask[i+1] +# So: response_mask[i+1] = loss_mask[i] +# Therefore: response_mask[i] = loss_mask[i-1] + +response_mask = torch.zeros_like(loss_mask) +response_mask[:, 1:] = loss_mask[:, :-1] # Shift back +response_mask[:, 0] = 0.0 # First position unknown, assume False + +print(f"Reconstructed response_mask shape: {response_mask.shape}") +print(f"Response tokens (response_mask=1): {response_mask.sum().item()}") +print(f"Trainable positions (loss_mask=1): {loss_mask.sum().item()}") +print(f"Difference: {response_mask.sum().item() - loss_mask.sum().item()}") + +# ============================================================================ +# Step 2: Find all EOS positions +# ============================================================================ +print("\n" + "=" * 80) +print("STEP 2: Finding all EOS positions") +print("=" * 80) + +eos_positions = input_ids == eos_token_id +eos_count = eos_positions.sum().item() + +print(f"Total EOS tokens: {eos_count}") + +# Find EOS positions with loss_mask=1 (being trained on) +eos_trainable = eos_positions & (loss_mask == 1.0) +eos_trainable_count = eos_trainable.sum().item() + +print(f"EOS positions with loss_mask=1: {eos_trainable_count}") +print(f"EOS positions with loss_mask=0: {eos_count - eos_trainable_count}") + +if eos_trainable_count > 0: + print(f"\n⚠️ BUG CONFIRMED: {eos_trainable_count} EOS positions have loss_mask=1!") + +# ============================================================================ +# Step 3: Check KL values at EOS positions +# ============================================================================ +print("\n" + "=" * 80) +print("STEP 3: Analyzing KL at EOS positions") +print("=" * 80) + +if eos_trainable_count > 0: + kl_at_eos = kl[eos_trainable] + diff_at_eos = (ref_logprobs - logprobs)[eos_trainable] + + print(f"KL at EOS positions (where loss_mask=1):") + print(f" Mean: {kl_at_eos.mean().item():.4f}") + print(f" Min: {kl_at_eos.min().item():.4f}") + print(f" Max: {kl_at_eos.max().item():.4f}") + + print(f"Logprob diff at EOS positions:") + print(f" Mean: {diff_at_eos.mean().item():.4f}") + print(f" Min: {diff_at_eos.min().item():.4f}") + print(f" Max: {diff_at_eos.max().item():.4f}") + + # Compare to non-EOS trainable positions + non_eos_trainable = (loss_mask == 1.0) & (~eos_positions) + if non_eos_trainable.sum() > 0: + kl_non_eos = kl[non_eos_trainable] + diff_non_eos = (ref_logprobs - logprobs)[non_eos_trainable] + + print(f"\nKL at NON-EOS trainable positions:") + print(f" Mean: {kl_non_eos.mean().item():.4f}") + print(f" Min: {kl_non_eos.min().item():.4f}") + print(f" Max: {kl_non_eos.max().item():.4f}") + + print(f"Logprob diff at NON-EOS trainable positions:") + print(f" Mean: {diff_non_eos.mean().item():.4f}") + print(f" Min: {diff_non_eos.min().item():.4f}") + print(f" Max: {diff_non_eos.max().item():.4f}") + + print(f"\n📊 Comparison:") + print(f" EOS KL mean: {kl_at_eos.mean().item():.4f}") + print(f" Non-EOS KL mean: {kl_non_eos.mean().item():.4f}") + print( + f" Ratio: {kl_at_eos.mean().item() / (kl_non_eos.mean().item() + 1e-8):.2f}x" + ) + +# ============================================================================ +# Step 4: Decode and show problematic positions +# ============================================================================ +print("\n" + "=" * 80) +print("STEP 4: Decoding problematic positions") +print("=" * 80) + +# Find top 10 worst KL positions +kl_flat = kl.view(-1) +_, top_indices = torch.topk(kl_flat, k=min(10, kl_flat.numel())) + +for rank, idx in enumerate(top_indices[:10]): + idx = idx.item() + batch = idx // seq_len + pos = idx % seq_len + + # Skip if not trainable + if loss_mask[batch, pos] == 0: + continue + + kl_val = kl[batch, pos].item() + + print(f"\n--- Rank {rank+1}: KL = {kl_val:.2f} (batch={batch}, pos={pos}) ---") + + # Show context + start = max(0, pos - 3) + end = min(seq_len, pos + 4) + + print( + f" {'Pos':>4} {'Token':>8} {'Decoded':>15} {'RespMask':>8} {'LossMask':>8} {'Target':>8} {'KL':>8}" + ) + print(f" {'-'*75}") + + for i in range(start, end): + token_id = input_ids[batch, i].item() + resp_mask = response_mask[batch, i].item() + loss_mk = loss_mask[batch, i].item() + tgt = targets[batch, i].item() + kl_i = kl[batch, i].item() + + # Decode token + try: + decoded = tokenizer.decode([token_id]) + # Clean up for display + decoded = decoded.replace("\n", "\\n").replace("\r", "\\r") + decoded = decoded[:15] # Truncate + except: + decoded = "???" + + # Check if EOS + is_eos = " [EOS]" if token_id == eos_token_id else "" + flag = " ← HERE" if i == pos else "" + + tgt_str = "IGNORE" if tgt == ignore_idx else f"{tgt:6d}" + + print( + f" {i:4d} {token_id:8d} {decoded:>15s}{is_eos:6s} {resp_mask:8.1f} {loss_mk:8.1f} {tgt_str:>8s} {kl_i:8.2f}{flag}" + ) + +# ============================================================================ +# Step 5: Check what happens after EOS +# ============================================================================ +print("\n" + "=" * 80) +print("STEP 5: What comes after EOS tokens?") +print("=" * 80) + +# Find all EOS positions that are NOT at the end of sequence +eos_coords = torch.where(eos_positions) + +print(f"Checking {len(eos_coords[0])} EOS positions...") + +suspicious_count = 0 +for batch, pos in zip(eos_coords[0][:20], eos_coords[1][:20]): # Check first 20 + batch = batch.item() + pos = pos.item() + + if pos >= seq_len - 1: + continue # Skip last position + + # Check next 3 tokens + print(f"\nEOS at batch={batch}, pos={pos}:") + + for offset in range(4): + if pos + offset >= seq_len: + break + + i = pos + offset + token_id = input_ids[batch, i].item() + resp_mask = response_mask[batch, i].item() + loss_mk = loss_mask[batch, i].item() + + try: + decoded = tokenizer.decode([token_id]) + decoded = decoded.replace("\n", "\\n").replace("\r", "\\r")[:20] + except: + decoded = "???" + + is_eos_marker = "[EOS]" if token_id == eos_token_id else "" + flag = "" + + if offset == 0: + label = "AT EOS" + elif offset == 1: + label = "NEXT" + if resp_mask == 1.0: + flag = " ⚠️ RESPONSE_MASK=1 (BUG!)" + suspicious_count += 1 + elif offset == 2: + label = "NEXT+1" + else: + label = "NEXT+2" + + print( + f" {label:8s}: pos={i:3d} token={token_id:6d} {is_eos_marker:6s} '{decoded:20s}' resp={resp_mask:.0f} loss={loss_mk:.0f}{flag}" + ) + +if suspicious_count > 0: + print(f"\n🔥 FOUND {suspicious_count} SUSPICIOUS POSITIONS!") + print(f" These are tokens AFTER EOS that have response_mask=1") + +print("\n" + "=" * 80) +print("SUMMARY") +print("=" * 80) + +print(f"\n1. Total EOS tokens: {eos_count}") +print(f"2. EOS positions being trained (loss_mask=1): {eos_trainable_count}") +if eos_trainable_count > 0: + print(f" ⚠️ THIS IS THE BUG!") + print(f" We should NOT train at EOS positions (predicting what comes after EOS)") +print(f"3. Suspicious tokens after EOS with response_mask=1: {suspicious_count}") +if suspicious_count > 0: + print(f" ⚠️ Root cause: TokenAccumulator is marking post-EOS tokens as responses") + +print("\n" + "=" * 80) diff --git a/debug/verl_mask_analysis.md b/debug/verl_mask_analysis.md new file mode 100644 index 000000000..78e8de054 --- /dev/null +++ b/debug/verl_mask_analysis.md @@ -0,0 +1,586 @@ +# VERL: Training Masks & Episode Data Structures for RL Training + +## Overview +This document details how VERL handles training masks and episode/trajectory data structures for reinforcement learning training. The analysis covers mask definitions, data flow, and how they're used in loss computations. + +--- + +## 1. Episode/Trajectory Data Structures + +### 1.1 Primary Data Structure: AsyncRolloutRequest (Rollout Schema) +**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` (lines 81-116) + +#### Fields Stored: +```python +class AsyncRolloutRequest(BaseModel): + # Request metadata + batch_data_id: int = 0 + rollout_offset: int = 0 + request_id: str + state: AsyncRolloutRequestStateEnum + + # Input/Output Token IDs + input_ids: Optional[torch.Tensor] = None # Full sequence (prompt + response) + prompt_ids: Optional[torch.Tensor] = None # Prompt only + response_ids: Optional[torch.Tensor] = None # Response only + + # Attention Masks (indicate which tokens are attended to) + attention_mask: Optional[torch.Tensor] = None + prompt_attention_mask: Optional[torch.Tensor] = None + response_attention_mask: Optional[torch.Tensor] = None + + # Position IDs (for position embeddings) + position_ids: Optional[torch.Tensor] = None + prompt_position_ids: Optional[torch.Tensor] = None + response_position_ids: Optional[torch.Tensor] = None + + # LOSS MASKS (indicate which tokens to include in loss computation) + loss_mask: Optional[torch.Tensor] = None # Full sequence loss mask + prompt_loss_mask: Optional[torch.Tensor] = None # Prompt loss mask (typically all 0) + response_loss_mask: Optional[torch.Tensor] = None # Response loss mask (1 for trainable tokens) + + # Reward Data + reward_scores: dict[str, float] # Reward model scores + + # Generation parameters + max_prompt_len: int + max_response_len: int = 8192 + max_model_len: int = 32768 + + # Optional: log probabilities for IS correction + rollout_log_probs: torch.Tensor | None = None + output_token_ids: torch.Tensor | None = None +``` + +#### Key Initialization (from lines 201-202): +```python +# Initial state: prompt loss mask is all 0 (no training on prompt tokens) +values["loss_mask"] = values["prompt_loss_mask"] = torch.zeros_like( + values["input_ids"], dtype=torch.bool +) +``` + +--- + +## 2. Mask Types & Definitions + +### 2.1 Three Mask Types Used in VERL + +#### A. **attention_mask** (Padding Mask) +- **Purpose:** Indicates valid vs padding tokens in attention operations +- **Values:** + - 1 = valid token (attend to) + - 0 = padding token (don't attend to) +- **Shape:** `(batch_size, seq_length)` +- **Usage:** Used in model forward pass for attention computation +- **How Set:** + - All 1s for non-padded positions + - 0s for padded positions (right-padding) + - Left-padding for prompts (padding tokens on left have mask 0) + +**Code Reference:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` lines 310-314 + +#### B. **loss_mask** (Training Mask / Trainable Position Mask) +- **Purpose:** Indicates which tokens should be included in loss computation +- **Values:** + - 1 (or True in bool form) = compute loss for this token + - 0 (or False) = don't compute loss for this token +- **Shape:** `(batch_size, seq_length)` +- **Who Computes Loss:** Used to filter which tokens contribute to gradient updates +- **Default Behavior:** + - Prompt tokens: loss_mask = 0 (don't train on prompt) + - Response tokens: loss_mask = 1 (train on response only) + +**Code References:** +- Initialization: `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` line 202 +- Assistant message update: line 412 `loss_mask=True` +- User message update: line 393 `loss_mask=False` + +#### C. **response_mask** (Response Token Mask) +- **Purpose:** Indicates which tokens are actual response tokens (not padding) vs padding +- **Values:** + - 1 = response token (generated by the model, up to EOS) + - 0 = padding or prompt token +- **Shape:** `(batch_size, response_length)` +- **Used In:** Loss aggregation, advantage computation, masked operations +- **How Computed:** From response_ids using `get_response_mask()` + +**Code Reference:** `/home/felipemello/forge/verl/verl/utils/torch_functional.py` lines 226-246 + +--- + +## 2.2 Relationship Between Masks + +### Mask Creation Flow: + +``` +1. Initial Request Created (with prompt) + → loss_mask = all 0s (prompts don't train) + → attention_mask = 1 for valid tokens + +2. Response Generated + → response_ids created + → response_loss_mask = 1 for tokens up to EOS, 0 for padding + +3. Loss Computation Stage + → response_mask is derived from response_ids (includes EOS cutoff) + → Used in loss calculation: only tokens where mask=1 contribute to loss +``` + +### Example from Get Response Mask Function: + +```python +def get_response_mask(response_id: torch.Tensor, eos_token: int | list[int] = 2): + """ + Create mask that is 1 for valid response tokens (up to and including EOS), + 0 for padding after EOS. + + Example: + response_id = [20, 10, 34, 1, 0, 0, 0] # EOS=1 + response_mask = [1, 1, 1, 1, 0, 0, 0] # Stop after EOS + + response_id = [78, 0, 76, 2, 1, 0, 0] # EOS=2 + response_mask = [1, 1, 1, 1, 0, 0, 0] # Stop after EOS + """ + eos_mask = torch.isin(response_id, torch.tensor(eos_token)) + return (eos_mask.cumsum(dim=1) - eos_mask).eq(0).to(dtype) +``` + +File: `/home/felipemello/forge/verl/verl/utils/torch_functional.py` lines 226-246 + +--- + +## 3. Loss Computation & Mask Usage + +### 3.1 SFT Loss Function +**File:** `/home/felipemello/forge/verl/verl/workers/roles/utils/losses.py` lines 27-53 + +```python +def sft_loss(config: ActorConfig, model_output, data: TensorDict, dp_group=None): + log_prob = model_output["log_probs"] + + if pad_mode == DatasetPadMode.NO_PADDING: + # For no-padding mode (nested tensors) + loss_mask = data["loss_mask"] # nested tensor + log_prob_flatten = log_prob.values() + loss_mask_flatten = loss_mask.values() + + # Left-shift the loss mask by one token to align with log_prob + # (because logits are shifted from input_ids) + loss_mask_flatten = torch.roll(loss_mask_flatten, shifts=-1, dims=0) + + # Loss averaged only over tokens where mask=1 + loss = -masked_sum(log_prob_flatten, loss_mask_flatten) / batch_num_tokens + else: + # For padded mode + response_mask = data["response_mask"].to(bool) + loss = -masked_sum(log_prob, response_mask) / batch_num_tokens +``` + +### 3.2 PPO Loss Function +**File:** `/home/felipemello/forge/verl/verl/workers/roles/utils/losses.py` lines 56-105 + +```python +def ppo_loss(config: ActorConfig, model_output, data: TensorDict, dp_group=None): + log_prob = model_output["log_probs"] + old_log_prob = data["old_log_probs"] + advantages = data["advantages"] + response_mask = data["response_mask"].to(bool) # Use response_mask for masking + + # Policy loss computation + policy_loss_fn = get_policy_loss_fn(loss_mode) + pg_loss, pg_metrics = policy_loss_fn( + old_log_prob=old_log_prob, + log_prob=log_prob, + advantages=advantages, + response_mask=response_mask, # MASK PASSED HERE + loss_agg_mode=loss_agg_mode, + config=config, + ) + + return policy_loss, metrics +``` + +### 3.3 Masked Loss Aggregation +**File:** `/home/felipemello/forge/verl/verl/trainer/ppo/core_algos.py` lines 772-808 + +```python +def agg_loss(loss_mat: torch.Tensor, loss_mask: torch.Tensor, loss_agg_mode: str): + """ + Aggregate loss matrix into a scalar using specified aggregation mode. + + Args: + loss_mat: (bs, response_length) + loss_mask: (bs, response_length) - 1 where we compute loss, 0 where we don't + loss_agg_mode: aggregation strategy + """ + if loss_agg_mode == "token-mean": + # Average over all unmasked tokens + loss = masked_mean(loss_mat, loss_mask) + + elif loss_agg_mode == "seq-mean-token-sum": + # Sum loss per sequence, then average across sequences + seq_losses = torch.sum(loss_mat * loss_mask, dim=-1) + seq_mask = (torch.sum(loss_mask, dim=-1) > 0).float() + loss = masked_mean(seq_losses, seq_mask) + + elif loss_agg_mode == "seq-mean-token-mean": + # Average loss per sequence, then average across sequences + seq_mask = torch.sum(loss_mask, dim=-1) + seq_losses = torch.sum(loss_mat * loss_mask, dim=-1) / (seq_mask + 1e-8) + seq_mask = (seq_mask > 0).float() + loss = masked_mean(seq_losses, seq_mask) +``` + +**Key Point:** Loss is ONLY computed for positions where mask=1 + +--- + +## 4. Response vs Trainable Positions: Key Differences + +### 4.1 Definition Distinction + +| Aspect | Response Tokens | Trainable Positions | +|--------|-----------------|-------------------| +| **Definition** | Tokens generated by the model in the rollout phase | Tokens that contribute to the loss and gradient updates | +| **Computed From** | response_ids (actual generation output) | response_loss_mask in the episode data | +| **Determined By** | Model's generation + EOS detection | Explicit masking in loss_mask field | +| **Typical Pattern** | Includes prompt + generated tokens up to EOS | Only includes response portion (exclude prompt) | +| **Mask Name** | response_mask or response_attention_mask | loss_mask or response_loss_mask | + +### 4.2 Code Example: Setting Loss Mask During Generation + +**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` lines 299-314 + +```python +def _update_input_ids( + self, + new_input_ids: torch.Tensor, + attention_mask: bool, + loss_mask: bool, # This controls whether new tokens are trainable +): + """ + Add tokens to the request. The loss_mask parameter determines if they're trainable. + """ + self.input_ids = torch.cat([self.input_ids, new_input_ids], dim=-1) + attention_mask = torch.ones_like(new_input_ids) * int(attention_mask) + self.attention_mask = torch.cat([self.attention_mask, attention_mask], dim=-1) + + loss_mask = torch.ones_like(new_input_ids) * int(loss_mask) + self.loss_mask = torch.cat([self.loss_mask, loss_mask], dim=-1) +``` + +### 4.3 Practical Scenario + +``` +Full Sequence: [ | | ] + ^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^ ^^^^^^^^ + +attention_mask: [1, 1, ..., 1 | 1, 1, ..., 1 | 0, 0, ..., 0] + Marks which are real tokens vs padding + +response_mask: [0, 0, ..., 0 | 1, 1, ..., 1 | 0, 0, ..., 0] + Marks which are generated response tokens (up to EOS) + +loss_mask: [0, 0, ..., 0 | 1, 1, ..., 1 | 0, 0, ..., 0] + Marks which tokens to compute loss on (response only) +``` + +--- + +## 5. Batch Processing & Mask Handling + +### 5.1 Sglang Rollout Batch Creation +**File:** `/home/felipemello/forge/verl/verl/workers/rollout/sglang_rollout/sglang_rollout.py` lines 1195-1360 + +```python +def _construct_batch_data(self, sorted_output_req_list): + """ + Construct batch from completed requests with proper masking. + """ + response_loss_mask = [] + + # Collect response masks from each request + for req in sorted_output_req_list: + response_loss_mask.append(req.response_loss_mask.to(device).squeeze(0)) + + # Pad to standard length + response_loss_mask = pad_sequence( + response_loss_mask, batch_first=True, padding_value=0 + ) + if response_loss_mask.shape[1] < self.config.response_length: + response_loss_mask = pad_sequence_to_length( + response_loss_mask, self.config.response_length, 0 + ) + + # Create final batch + batch = TensorDict({ + "prompts": prompt_ids, + "responses": response_ids, + "response_mask": response_loss_mask, # Named "response_mask" in batch + "input_ids": input_ids, + "attention_mask": attention_mask, + "position_ids": position_ids, + }) + + return batch +``` + +**Key Points:** +- Individual request's `response_loss_mask` → batch's `response_mask` +- Padding value = 0 (no loss for padded tokens) +- All sequences padded to same length for batching + +### 5.2 Padding Requests (for Failed Generations) +**File:** `/home/felipemello/forge/verl/verl/workers/rollout/sglang_rollout/sglang_rollout.py` lines 1362-1419 + +```python +def _create_padding_request(self, original_req): + """ + Create a padding request (for failed generations) with all-zero loss masks + so they don't contribute to loss. + """ + padding_response_ids = torch.full( + (1, self.config.response_length), + self.pad_token_id, + dtype=torch.long, + ) + + padding_response_attention_mask = torch.zeros( + (1, self.config.response_length), + dtype=torch.long, + ) + + # IMPORTANT: loss_mask is all 0 + padding_response_loss_mask = torch.zeros( + (1, self.config.response_length), + dtype=torch.long, + ) + + padding_req.response_loss_mask = padding_response_loss_mask + return padding_req +``` + +**Comment from code (line 1366):** +``` +# 2. response_loss_mask is all 0, ensuring it is ignored in loss calculation +``` + +--- + +## 6. No-Padding Mode & Mask Conversion + +### 6.1 Converting Padded to No-Padding Mode +**File:** `/home/felipemello/forge/verl/verl/workers/roles/utils/padding.py` lines 30-85 + +```python +def left_right_2_no_padding(data: TensorDict) -> TensorDict: + """ + Convert from left-right padded to no-padding (nested tensor) format. + + Inputs: + - input_ids: (batch_size, seq_length) padded + - attention_mask: (batch_size, seq_length) + - response_mask: (batch_size, response_length) + - position_ids: (batch_size, seq_length) + + Outputs: + - input_ids: NestedTensor (no padding) + - loss_mask: NestedTensor (derived from response_mask) + - position_ids: NestedTensor + """ + input_ids = data.pop("input_ids") + attention_mask = data.pop("attention_mask") + response_mask = data["response_mask"] # Keep this + + max_seq_len = input_ids.shape[1] + max_response_len = response_mask.shape[1] + + # Remove padding + input_ids_rmpad, indices, cu_seqlens = unpad_input( + input_ids.unsqueeze(-1), attention_mask + ) + + # Create loss_mask from response_mask + seq_lens = cu_seqlens.diff().tolist() + response_lens = response_mask.sum(dim=1).tolist() + + loss_mask_list = [] + for seq_len, response_len in zip(seq_lens, response_lens): + loss_mask = torch.zeros(seq_len, dtype=torch.bool) + # Loss mask only for last response_len tokens + loss_mask[-response_len:] = 1 + loss_mask_list.append(loss_mask) + + loss_mask_nested = torch.nested.as_nested_tensor( + loss_mask_list, layout=torch.jagged + ) + + return data +``` + +**Key Insight:** +- In no-padding mode, loss_mask is derived as: 1 for last N tokens where N = response_len +- This ensures loss is only computed on the response portion + +--- + +## 7. Advantage Estimators & Mask Usage + +### 7.1 GRPO Advantage Computation +**File:** `/home/felipemello/forge/verl/verl/trainer/ppo/core_algos.py` lines 264-328 + +```python +def compute_grpo_outcome_advantage( + token_level_rewards: torch.Tensor, + response_mask: torch.Tensor, + index: np.ndarray, +): + """ + GRPO computes advantage as difference from group mean. + + Args: + token_level_rewards: (bs, response_length) + response_mask: (bs, response_length) - which tokens are valid + index: group ID for each sample + + Returns: + advantages: (bs, response_length) + """ + scores = token_level_rewards.sum(dim=-1) # Sum reward across response tokens + + # Compute mean reward per group + id2score = defaultdict(list) + for i in range(bsz): + id2score[index[i]].append(scores[i]) + + for idx in id2score: + id2mean[idx] = torch.mean(torch.stack(id2score[idx])) + + # Advantage = (reward - group_mean) / group_std, broadcasted across response + advantages = (scores.unsqueeze(-1) - group_mean) / (group_std + epsilon) + advantages = advantages * response_mask # Mask out non-response tokens + + return advantages +``` + +--- + +## 8. Summary: Key Design Patterns + +### 8.1 Mask Naming Convention in VERL + +| Component | Mask Field Name | Values | Purpose | +|-----------|-----------------|--------|---------| +| Rollout Request (Single) | `loss_mask`, `response_loss_mask` | bool or int | Trainable positions | +| Batch (after rollout) | `response_mask` | int (0/1) | Trainable positions in batch | +| Loss computation | `response_mask` (as bool) | bool | Filter which tokens compute loss | +| Padding conversion | `loss_mask` | bool | Trainable positions in nested tensor format | + +### 8.2 Important Code Locations + +| Functionality | File | Lines | +|--------------|------|-------| +| Episode structure definition | `/verl/workers/rollout/schemas.py` | 81-116, 201-202 | +| Mask creation during generation | `/verl/workers/rollout/schemas.py` | 299-334 | +| Response mask computation | `/verl/utils/torch_functional.py` | 226-246 | +| Loss computation with masks | `/verl/workers/roles/utils/losses.py` | 27-135 | +| Loss aggregation modes | `/verl/trainer/ppo/core_algos.py` | 772-808 | +| Batch construction | `/verl/workers/rollout/sglang_rollout/sglang_rollout.py` | 1195-1360 | +| Padding mode conversion | `/verl/workers/roles/utils/padding.py` | 30-85 | +| Advantage estimation | `/verl/trainer/ppo/core_algos.py` | 212-716 | + +### 8.3 Mask Value Meanings Across the Pipeline + +``` +Stage 1: Generation (AsyncRolloutRequest) + - loss_mask: 0 = don't train on prompt, 1 = train on response + +Stage 2: Batch Assembly (TensorDict) + - response_mask: 0 = padding/prompt, 1 = trainable response token + +Stage 3: Loss Computation + - response_mask (as bool): True where loss should be computed + - masked operations: loss * response_mask or masked_sum(loss, response_mask) + +Stage 4: No-Padding Mode + - loss_mask: 0 for prompt part of nested tensor, 1 for response part +``` + +--- + +## 9. Comments & Documentation in Code + +From `/verl/workers/rollout/sglang_rollout/sglang_rollout.py` (lines 582-590): + +```python +# response_mask: [bsz, response_length] +# 1 for LLM generated tokens (up to EOS) +# 0 for observation/padding tokens +# +# Example with multi-turn interaction: +# response_mask: | 1, 1, 1, ..., 1, 1 | 0, 0, .., 0, 0 | 1, 1, 1, ..., 1, 1 | 0, 0, ..., 0| +# ^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^ ^^^^^^^^^^^ +# turn1 response observation turn2 response padding +``` + +--- + +## 10. Critical Differences: Response Tokens vs Trainable Positions + +### The Key Distinction: + +1. **Response Tokens** (response_mask): + - Determined by the model's actual generation during rollout + - Includes everything generated up to and including the EOS token + - May include multiple "turns" in multi-turn conversations + - Derived from: `response_ids` via `get_response_mask()` + - Used for: Computing model output, aggregating reward signals + +2. **Trainable Positions** (loss_mask, response_loss_mask): + - Explicitly set during request processing + - Typically: only the response portion (not the prompt) + - Can be selectively disabled (e.g., for padding requests) + - Controls: Which tokens contribute to gradient updates via loss computation + - Used for: Filtering which positions compute loss + +### Example Scenario: + +```python +# Multi-turn conversation where we want to train on ALL generations +request.input_ids = [ + # Prompt (tokens 0-49) + , , ..., + # Response 1 (tokens 50-74) + , model_response_1, , + # Padding in middle (tokens 75-79) + , , , , , + # Response 2 (tokens 80-99) + , , model_response_2, +] + +request.response_mask = [0]*50 + [1]*25 + [0]*5 + [1]*20 +# ^^^^^^^^^^^^^^^^^ ^^^^ ^^^^^ ^^^^ ^^^^^ +# Index range prompt resp1 pad resp2 + +request.loss_mask = [0]*50 + [1]*25 + [0]*5 + [1]*20 +# For training on response only (typical case) + +# But could also be: +request.loss_mask = [0]*50 + [1]*25 + [0]*5 + [0]*20 +# To disable training on response 2 +``` + +This shows that even though response_mask includes both response portions, +loss_mask can selectively enable/disable training on specific portions. + +--- + +## Conclusion + +VERL's mask system provides fine-grained control over: +1. **Which tokens are valid** (attention_mask for padding) +2. **Which tokens are responses** (response_mask from generation) +3. **Which tokens should train** (loss_mask for gradient computation) + +The separation of "response tokens" (what was generated) from "trainable positions" (what should affect gradients) allows for sophisticated training scenarios including multi-turn dialogue, selective training, and importance sampling correction. diff --git a/debug/verl_masking_research.md b/debug/verl_masking_research.md new file mode 100644 index 000000000..ea8ff9408 --- /dev/null +++ b/debug/verl_masking_research.md @@ -0,0 +1,623 @@ +# VERL Multi-Turn Conversation Masking Research + +**Research Date:** 2025-11-19 +**Objective:** Understand how VERL handles multi-turn conversation masking, EOS tokens, and suffix handling + +--- + +## Executive Summary + +VERL uses a **simple masking approach** for multi-turn conversations: +- **Loss masks are created incrementally** as messages are added +- **NO special EOS suffix stripping** - tokens after EOS are naturally masked via `response_mask` +- **NO explicit suffix length checking** after EOS tokens +- Chat template tokens (newlines, special tokens) are handled through the **incremental tokenization** approach + +--- + +## 1. Loss Mask Creation for Multi-Turn Conversations + +### 1.1 Schema-Level Loss Mask (`AsyncRolloutRequest`) + +**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` + +**Initial Setup (Line 202):** +```python +values["loss_mask"] = values["prompt_loss_mask"] = torch.zeros_like(values["input_ids"], dtype=torch.bool) +``` +- Prompt tokens start with `loss_mask=0` (not trained) +- Loss mask is **boolean tensor** same shape as input_ids + +**Key Method: `_update_input_ids()` (Lines 299-334):** +```python +def _update_input_ids( + self, + processing_class: PreTrainedTokenizer | PreTrainedTokenizerFast | ProcessorMixin, + new_input_ids: torch.Tensor, + attention_mask: bool, + loss_mask: bool, + new_multi_modal_inputs: Optional[dict[str, torch.Tensor]] = None, +) -> None: + """ + Update the input_ids, attention_mask, position_ids, and loss_mask in additive manner. + """ + self.input_ids = torch.cat([self.input_ids, new_input_ids], dim=-1) + attention_mask = torch.ones_like(new_input_ids) * int(attention_mask) + self.attention_mask = torch.cat([self.attention_mask, attention_mask], dim=-1) + loss_mask = torch.ones_like(new_input_ids) * int(loss_mask) + self.loss_mask = torch.cat([self.loss_mask, loss_mask], dim=-1) + # ... position_ids update +``` + +**Usage Pattern:** +- `loss_mask=True` → tokens are trained (loss computed) +- `loss_mask=False` → tokens are NOT trained (loss masked out) + +--- + +### 1.2 Adding Messages to Conversation + +**User Messages (Lines 379-393):** +```python +def add_user_message( + self, + processing_class: PreTrainedTokenizer | PreTrainedTokenizerFast | ProcessorMixin, + content: str, +) -> None: + self.messages.append(Message(role="user", content=content)) + messages = [*BASE_CHAT_HISTORY, self.messages[-1]] + # ... tokenize + content_ids = self._handle_apply_chat_template(...) + self._update_input_ids(processing_class, content_ids, + attention_mask=True, loss_mask=False) # ← NOT trained +``` + +**Assistant Messages (Lines 395-412):** +```python +def add_assistant_message( + self, + processing_class: PreTrainedTokenizer | PreTrainedTokenizerFast | ProcessorMixin, + content: str, + content_ids: Optional[torch.Tensor] = None, + tool_calls: Optional[list[OpenAIFunctionToolCall]] = None, +) -> None: + self.messages.append(Message(role="assistant", content=content, tool_calls=tool_calls)) + # ... tokenize + content_ids = self._handle_apply_chat_template(...) + self._update_input_ids(processing_class, content_ids, + attention_mask=True, loss_mask=True) # ← TRAINED +``` + +**Tool Response Messages (Lines 414-474):** +```python +def add_tool_response_messages( + self, + processing_class: PreTrainedTokenizer | PreTrainedTokenizerFast | ProcessorMixin, + contents: list[ToolResponse], +) -> None: + # ... add tool messages + self._update_input_ids( + processing_class, + content_ids, + attention_mask=True, + loss_mask=False, # ← Tool outputs NOT trained + new_multi_modal_inputs=multi_modal_inputs, + ) +``` + +**Summary:** +- **User messages:** `loss_mask=False` +- **Assistant messages:** `loss_mask=True` +- **Tool responses:** `loss_mask=False` + +--- + +## 2. Handling Tokens AFTER EOS + +### 2.1 Response Mask Creation + +**File:** `/home/felipemello/forge/verl/verl/utils/torch_functional.py` (Lines 226-246) + +**Key Function: `get_response_mask()`** +```python +def get_response_mask(response_id: torch.Tensor, eos_token: int | list[int] = 2, dtype=torch.int64): + """ + end of sentence token can be int or list: 1 or [1, 2] + e.g. + response_id = torch.tensor([[20, 10, 34, 1, 0, 0, 0], + [78, 0, 76, 2, 1, 0, 0], + [23, 98, 1, 0, 0, 0, 0], + [33, 3, 98, 45, 1, 0, 0]]) + #eos_token=1 + response_mask: tensor([[1, 1, 1, 1, 0, 0, 0], + [1, 1, 1, 1, 1, 0, 0], + [1, 1, 1, 0, 0, 0, 0], + [1, 1, 1, 1, 1, 0, 0]]) + #eos_token=[1,2] + response_mask: tensor([[1, 1, 1, 1, 0, 0, 0], + [1, 1, 1, 1, 0, 0, 0], + [1, 1, 1, 0, 0, 0, 0], + [1, 1, 1, 1, 1, 0, 0]]) + """ + eos_mask = torch.isin(response_id, torch.tensor(eos_token, device=response_id.device)).int() + return (eos_mask.cumsum(dim=1) - eos_mask).eq(0).to(dtype) +``` + +**Behavior:** +- Creates mask with `1` up to and INCLUDING the first EOS token +- All tokens AFTER first EOS get mask `0` +- Supports multiple EOS tokens (can pass list) +- Uses cumulative sum trick: `(cumsum - mask).eq(0)` + +### 2.2 Usage in Single-Turn Rollout + +**File:** `/home/felipemello/forge/verl/verl/workers/rollout/sglang_rollout/sglang_rollout.py` (Lines 785-788) + +```python +response_attention_mask = get_response_mask( + response_id=response, eos_token=eos_token_id, dtype=attention_mask.dtype +) +attention_mask = torch.cat((attention_mask, response_attention_mask), dim=-1) +``` + +**For Multi-Turn (Lines 1309-1311):** +```python +response_loss_mask = pad_sequence(response_loss_mask, batch_first=True, padding_value=0) +if response_loss_mask.shape[1] < self.config.response_length: + response_loss_mask = pad_sequence_to_length(response_loss_mask, self.config.response_length, 0) +``` + +--- + +## 3. NO Suffix Stripping After EOS + +### 3.1 Truncation Logic + +**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` (Lines 658-673) + +```python +def truncate_output_ids( + self, processing_class: PreTrainedTokenizer | PreTrainedTokenizerFast | ProcessorMixin +) -> None: + self.input_ids = self.input_ids[..., : self.max_model_len] + self.attention_mask = self.attention_mask[..., : self.max_model_len] + self.position_ids = self.position_ids[..., : self.max_model_len] + self.loss_mask = self.loss_mask[..., : self.max_model_len] + self.response_ids = self.input_ids[..., self.prompt_ids.shape[-1] :][..., : self.max_response_len] + self.response_attention_mask = self.attention_mask[..., self.prompt_attention_mask.shape[-1] :][ + ..., : self.max_response_len + ] + self.response_position_ids = self.position_ids[..., self.prompt_position_ids.shape[-1] :][ + ..., : self.max_response_len + ] + self.response_loss_mask = self.loss_mask[..., self.prompt_loss_mask.shape[-1] :][..., : self.max_response_len] +``` + +**Observations:** +- Only truncates to `max_model_len` and `max_response_len` +- **NO checking for EOS token position** +- **NO removal of tokens after EOS** +- Tokens after EOS are naturally masked via `response_mask` + +### 3.2 Finalization Process + +**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` (Lines 551-648) + +```python +def finalize( + self, + processing_class: PreTrainedTokenizer | PreTrainedTokenizerFast | ProcessorMixin, + reward_scores: dict[str, list[float]], + finish_reason_type: FinishReasonTypeEnum = FinishReasonTypeEnum.STOP, +) -> None: + self.state = AsyncRolloutRequestStateEnum.COMPLETED + self.reward_scores = reward_scores + + # Remove generation prompt if present + self._remove_generation_prompt_ids_if_present() + + self.response_ids = self.input_ids[..., self.prompt_ids.shape[-1] :] + + # Tokenization sanity check (optional) + if self.tokenization_sanity_check_mode != TokenizationSanityCheckModeEnum.DISABLE: + # ... validation logic + + # Handle finish reason + if finish_reason_type == FinishReasonTypeEnum.STOP: + pass # No special handling + elif finish_reason_type == FinishReasonTypeEnum.LENGTH: + pass # No special handling + + self.truncate_output_ids(processing_class) # Only length truncation +``` + +**Key Points:** +- `STOP` finish reason: no special handling +- `LENGTH` finish reason: no special handling +- Only calls `truncate_output_ids()` which does NOT strip after EOS + +--- + +## 4. Chat Template Token Handling + +### 4.1 Incremental Tokenization Approach + +**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` (Lines 224-258) + +**Key Method: `_handle_apply_chat_template()`** +```python +@staticmethod +def _handle_apply_chat_template( + processing_class: PreTrainedTokenizer | PreTrainedTokenizerFast | ProcessorMixin, + messages: list[Message], + multi_modal_data: dict[str, Any], + tools: Optional[list[OpenAIFunctionToolSchema]] = None, + add_generation_prompt: bool = False, + tokenize: bool = False, + return_dict: bool = False, +): + raw_prompt = processing_class.apply_chat_template( + messages, tools=tools, add_generation_prompt=add_generation_prompt, tokenize=False + ) + if not tokenize: + return raw_prompt + + # Tokenize with processor or tokenizer + if isinstance(processing_class, ProcessorMixin): + images = images if len(images := multi_modal_data.get("image", [])) > 0 else None + videos = videos if len(videos := multi_modal_data.get("video", [])) > 0 else None + model_inputs = processing_class(text=[raw_prompt], images=images, videos=videos, return_tensors="pt") + else: + model_inputs = processing_class(text=[raw_prompt], return_tensors="pt") +``` + +**Usage Pattern:** +```python +# When adding a message, compute delta by using BASE_CHAT_HISTORY +messages = [*BASE_CHAT_HISTORY, self.messages[-1]] +content_ids = self._handle_apply_chat_template( + processing_class, messages, multi_modal_data={}, + tools=tools, add_generation_prompt=False, tokenize=True +)[..., self.base_conv_wo_gen_prompt_end_pos :] # Extract only the new tokens +``` + +**BASE_CHAT_HISTORY (Lines 31-34):** +```python +BASE_CHAT_HISTORY = [ + {"role": "system", "content": "You are a helpful assistant."}, + {"role": "user", "content": "I am a user."}, +] +``` + +### 4.2 Generation Prompt Handling + +**Lines 348-362:** +```python +def get_generation_prompt_ids( + self, processing_class: PreTrainedTokenizer | PreTrainedTokenizerFast | ProcessorMixin +) -> list[int]: + """ + Get the generation prompt ids for rollout engine. + """ + generation_prompt_ids = ( + None + if self.input_ids[..., -self.generation_prompt_ids.shape[-1] :].eq(self.generation_prompt_ids).all() + else self.generation_prompt_ids + ) + if generation_prompt_ids is not None: + self._update_input_ids(processing_class, generation_prompt_ids, + attention_mask=True, loss_mask=False) # Generation prompt NOT trained +``` + +**Generation Prompt Removal (Lines 541-549):** +```python +def _remove_generation_prompt_ids_if_present(self) -> None: + """ + Remove generation prompt IDs from input tensors if they are present at the end. + """ + if self.input_ids[..., -self.generation_prompt_ids.shape[-1] :].eq(self.generation_prompt_ids).all(): + self.input_ids = self.input_ids[..., : -self.generation_prompt_ids.shape[-1]] + self.attention_mask = self.attention_mask[..., : -self.generation_prompt_ids.shape[-1]] + self.position_ids = self.position_ids[..., : -self.generation_prompt_ids.shape[-1]] + self.loss_mask = self.loss_mask[..., : -self.generation_prompt_ids.shape[-1]] +``` + +### 4.3 Tokenization Sanity Check + +**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` (Lines 73-78, 566-640) + +**TokenizationSanityCheckModeEnum:** +```python +class TokenizationSanityCheckModeEnum(str, Enum): + DISABLE = "disable" + STRICT = "strict" + IGNORE_STRIPPABLE = "ignore_strippable" +``` + +**Validation Logic (Lines 566-640):** +```python +if self.tokenization_sanity_check_mode != TokenizationSanityCheckModeEnum.DISABLE: + # Compare full chat template tokenization vs incremental + full_prompt_ids = self._handle_apply_chat_template( + processing_class, messages, multi_modal_data=self.multi_modal_data, + tools=tools, add_generation_prompt=False, tokenize=True, return_dict=True + )["input_ids"] + + if diffs := self._get_prompt_diffs( + processing_class, full_prompt_ids, self.input_ids, diff_surrounding_chars=10 + ): + log_warning = False + if self.tokenization_sanity_check_mode == TokenizationSanityCheckModeEnum.STRICT: + log_warning = True + elif self.tokenization_sanity_check_mode == TokenizationSanityCheckModeEnum.IGNORE_STRIPPABLE: + non_strippable_diffs_exist = any( + d["full_prompt_chunk"].strip() or d["current_prompt_chunk"].strip() for d in diffs + ) + if non_strippable_diffs_exist: + log_warning = True +``` + +**Purpose:** +- Catches differences between full tokenization and incremental tokenization +- Useful for debugging chat template issues (e.g., extra newlines) +- `IGNORE_STRIPPABLE` mode allows whitespace-only differences + +--- + +## 5. SFT Dataset Loss Mask Creation + +**File:** `/home/felipemello/forge/verl/verl/utils/dataset/multiturn_sft_dataset.py` + +### 5.1 Processing Messages (Lines 133-209) + +**For Assistant Messages:** +```python +if is_assistant: + generation_prompt_text = prev_applied_text_w_generation_prompt[len(prev_applied_text) :] + generation_prompt_tokens = self.tokenizer.encode( + generation_prompt_text, + add_special_tokens=False, + ) + _message_tokens = self.tokenizer.encode( + cur_applied_text[len(prev_applied_text_w_generation_prompt) :], + add_special_tokens=False, + ) + message_tokens = generation_prompt_tokens + _message_tokens + loss_mask = [0] * (len(generation_prompt_tokens)) + [1] * ( + len(message_tokens) - len(generation_prompt_tokens) + ) +``` + +**For Other Messages:** +```python +else: + message_tokens = self.tokenizer.encode( + cur_applied_text[len(prev_applied_text) :], + add_special_tokens=False, + ) + loss_mask = [0] * len(message_tokens) +``` + +### 5.2 Override Loss Mask (Lines 312-319) + +```python +# override loss mask with mask in the dataset to handle multi-turn conversation +override_loss_mask = cur_messages.get("loss_mask", None) +if override_loss_mask is not None: + if isinstance(override_loss_mask, np.ndarray): + override_loss_mask = override_loss_mask.item() + assert isinstance(override_loss_mask, int), f"loss_mask should be int, got {type(override_loss_mask)}" + assert override_loss_mask in [0, 1], f"loss_mask should be 0 or 1, got {override_loss_mask}" + loss_mask = [override_loss_mask] * len(tokens) +``` + +**Features:** +- Allows per-message `loss_mask` override in dataset +- Useful for training only specific assistant turns + +--- + +## 6. Key Differences from Other Implementations + +### 6.1 No Explicit Suffix Removal + +**Unlike some implementations (e.g., OpenRLHF), VERL does NOT:** +- Check for tokens after EOS +- Strip suffix after EOS token +- Validate suffix length + +**Instead, VERL:** +- Relies on `response_mask` to mask tokens after EOS during loss computation +- Keeps all generated tokens in the sequence +- Masks them out via attention mask and loss mask + +### 6.2 Incremental Tokenization + +**VERL uses incremental tokenization:** +- Each new message is tokenized relative to previous messages +- Uses `BASE_CHAT_HISTORY` to compute token deltas +- Validates with optional tokenization sanity check + +**Benefits:** +- Explicit control over which tokens come from which messages +- Easy to assign loss masks per-message +- Handles multi-turn naturally + +### 6.3 Simple Masking Philosophy + +**Core principle:** +``` +loss_mask[i] = 1 if token i should contribute to loss + = 0 otherwise +``` + +**Applied to:** +- User messages: `loss_mask=0` (not trained) +- Assistant messages: `loss_mask=1` (trained) +- Tool responses: `loss_mask=0` (not trained) +- Tokens after EOS: `response_mask=0` (via `get_response_mask()`) + +--- + +## 7. Code Flow Summary + +### 7.1 Multi-Turn Rollout Flow + +``` +1. Initialize AsyncRolloutRequest + └─> loss_mask = zeros (all prompt tokens) + +2. For each turn: + + a. Generate assistant response + └─> SGLang engine generates tokens + + b. Add assistant message + └─> add_assistant_message(content, content_ids) + └─> _update_input_ids(..., loss_mask=True) + └─> Concatenate with loss_mask=1 for assistant tokens + + c. If tool call: + └─> Execute tool + └─> add_tool_response_messages(tool_responses) + └─> _update_input_ids(..., loss_mask=False) + └─> Concatenate with loss_mask=0 for tool tokens + + d. If interaction: + └─> add_user_message(content) + └─> _update_input_ids(..., loss_mask=False) + └─> Concatenate with loss_mask=0 for user tokens + +3. Finalize request + └─> finalize() + └─> Remove generation prompt if present + └─> Truncate to max_model_len + └─> Create response_loss_mask from loss_mask + +4. Create batch data + └─> Pad sequences + └─> response_mask from response_loss_mask +``` + +### 7.2 Loss Computation Flow + +``` +1. During training (PPO/SFT): + + a. Forward pass + └─> logits = model(input_ids, attention_mask) + + b. Compute loss + └─> loss = criterion(logits, labels) + └─> loss = loss * loss_mask # Mask out non-assistant tokens + └─> loss = loss * response_mask # Mask out tokens after EOS + + c. Average + └─> loss = loss.sum() / response_mask.sum() +``` + +--- + +## 8. File Reference Index + +### Core Files + +1. **`/home/felipemello/forge/verl/verl/workers/rollout/schemas.py`** + - `AsyncRolloutRequest` class (Lines 81-673) + - `_update_input_ids()` (Lines 299-334) + - `add_user_message()` (Lines 379-393) + - `add_assistant_message()` (Lines 395-412) + - `add_tool_response_messages()` (Lines 414-474) + - `finalize()` (Lines 551-657) + - `truncate_output_ids()` (Lines 658-673) + +2. **`/home/felipemello/forge/verl/verl/workers/rollout/sglang_rollout/sglang_rollout.py`** + - `_async_rollout_a_request()` (Lines 807-1051) + - `_req_level_generate_sequences()` (Lines 1103-1360) + - Response mask creation (Lines 785-788, 1309-1311) + +3. **`/home/felipemello/forge/verl/verl/utils/torch_functional.py`** + - `get_response_mask()` (Lines 226-246) + +4. **`/home/felipemello/forge/verl/verl/utils/dataset/multiturn_sft_dataset.py`** + - `MultiTurnSFTDataset` class (Lines 47-392) + - `_process_message_tokens()` (Lines 133-209) + - Override loss mask (Lines 312-319) + +### Supporting Files + +5. **`/home/felipemello/forge/verl/verl/workers/rollout/hf_rollout.py`** + - Single-turn rollout example (Lines 99-161) + +6. **`/home/felipemello/forge/verl/verl/trainer/ppo/core_algos.py`** + - GAE computation with response_mask (Lines 223-233, 605-615) + +--- + +## 9. Conclusions + +### What VERL Does + +1. **Incremental Loss Mask Creation:** + - Loss masks are built up incrementally as messages are added + - Each message type has a specific loss_mask value + - Assistant messages: trained (mask=1) + - User/tool messages: not trained (mask=0) + +2. **EOS Token Handling:** + - Uses `get_response_mask()` to create mask with 0s after first EOS + - **NO explicit suffix stripping** + - Tokens after EOS remain in sequence but are masked + - Supports multiple EOS tokens + +3. **Chat Template Tokens:** + - Handled through incremental `apply_chat_template()` calls + - Generation prompt tokens explicitly managed + - Optional tokenization sanity check validates consistency + +### What VERL Does NOT Do + +1. **NO suffix length checking** after EOS +2. **NO explicit truncation** at EOS position +3. **NO special handling** of tokens after EOS beyond masking +4. **NO stripping** of padding tokens after EOS + +### Design Philosophy + +VERL's approach is **simple and mask-based**: +- Generate full sequences (including tokens after EOS) +- Use masks to control which tokens contribute to loss +- Rely on attention masks and loss masks rather than sequence manipulation +- Keep sequences intact for easier debugging and validation + +This differs from approaches that actively remove or strip tokens after EOS, which can be more complex but may save memory. + +--- + +## 10. Comparison to Your Implementation + +**Your current approach (based on previous discussions):** +- Strips tokens after EOS using `cut_by_token_indices_based_on_suffix_length()` +- Explicitly checks suffix length after EOS +- Validates that no content appears after EOS + +**VERL's approach:** +- Keeps all tokens after EOS +- Masks them via `response_mask` +- No explicit suffix validation + +**Key Question:** +Should you adopt VERL's simpler masking approach, or continue with explicit suffix stripping? + +**Trade-offs:** + +| Aspect | VERL (Masking) | Your Approach (Stripping) | +|--------|----------------|---------------------------| +| Simplicity | ✅ Simpler | ❌ More complex | +| Memory | ❌ Stores unused tokens | ✅ Removes unused tokens | +| Debugging | ✅ Full sequence visible | ❌ Truncated sequence | +| Validation | ❌ No suffix checks | ✅ Explicit validation | +| Multi-turn | ✅ Natural fit | ⚠️ Requires care | + +**Recommendation:** +For multi-turn conversations, VERL's masking approach is likely **simpler and less error-prone**. Consider adopting it unless memory is a critical constraint. diff --git a/next_token_prediction_fix.md b/next_token_prediction_fix.md new file mode 100644 index 000000000..39100f709 --- /dev/null +++ b/next_token_prediction_fix.md @@ -0,0 +1,623 @@ +# Multi-Turn Training with Masks: Same-Shape Approach + +## The Problem + +**Old approach (single-turn):** +```python +# Works only for single turn where response starts at fixed position +response = all_tokens[prompt_len:] +``` + +**New approach (multi-turn):** +``` +Conversation: [system] [user] [agent] [tool] [agent] [user] [agent] +Train only on: ^^^^^^ ^^^^^^ ^^^^^^ +``` + +We need masks to identify which tokens are agent responses across multiple turns. + +**Key principle:** +- **Keep everything the same shape `[seq_len]`** +- Use `response_mask` to mark agent tokens +- Use `IGNORE_INDEX` in targets for non-agent positions +- Let PyTorch's cross_entropy handle the masking + +--- + +## Current Bugs + +### Bug 1: reference_model.py +```python +# WRONG: Assumes single-turn, response starts at max_req_tokens +logprobs = compute_logprobs(logits, input_ids[:, max_req_tokens:]) +``` + +### Bug 2: main_v2.py continuous_rollouts +```python +# WRONG: Slicing instead of using full-sequence masks +ref_logprobs_padded = await ref_model.forward.route(input_ids, 0, return_logprobs=True) +for i, episode in enumerate(episodes): + seq_len = len(episode.all_token_ids) + episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] +``` + +### Bug 3: main_v2.py simple_grpo_loss +```python +# WRONG: For loop over batch, not tensorized +for i in range(batch_size): + mask_i = response_mask[i] == 1 + ... +``` + +--- + +## Design Principles + +1. **Same shape everywhere**: All tensors are `[seq_len]`, pad to `[batch, max_seq_len]` in collate +2. **Use bool masks**: `response_mask` is `dtype=torch.bool` to avoid `== 1` comparisons +3. **IGNORE_INDEX for masking**: Set `targets[i] = IGNORE_INDEX` where position i is not a response +4. **Tensorized operations**: No for loops over batch dimension in loss function + +--- + +## Solution + +### Constants + +Add to main_v2.py: +```python +IGNORE_INDEX = -100 # PyTorch cross_entropy default +``` + +--- + +### 1. Create Targets for Full Sequence + +**Add utility function to main_v2.py:** + +```python +def create_next_token_targets( + all_token_ids: torch.Tensor, # [seq_len] + response_mask: torch.Tensor, # [seq_len] bool +) -> torch.Tensor: + """ + Create next-token prediction targets for full sequence. + + For next-token prediction: + - logits[:, i] predicts tokens[:, i+1] + - targets[i] = all_token_ids[i+1] if position i+1 is a response token + - targets[i] = IGNORE_INDEX otherwise + + Args: + all_token_ids: All conversation tokens [seq_len] + response_mask: Boolean mask, True for agent response tokens [seq_len] + + Returns: + targets: [seq_len] where: + - targets[i] = all_token_ids[i+1] if response_mask[i+1] is True + - targets[i] = IGNORE_INDEX otherwise + """ + targets = torch.full_like(all_token_ids, IGNORE_INDEX) + + # Shift: targets[i] should predict all_token_ids[i+1] + targets[:-1] = all_token_ids[1:] + + # Mask: Only keep targets where the predicted token is a response + # If response_mask[i+1] is False, set targets[i] = IGNORE_INDEX + targets[:-1][~response_mask[1:]] = IGNORE_INDEX + targets[-1] = IGNORE_INDEX # Last position has nothing to predict + + return targets +``` + +--- + +### 2. Update Episode Dataclass + +**main_v2.py - Episode:** + +```python +@dataclass +class Episode: + """Episode data for GRPO training (multi-turn structure).""" + + # Required fields - ALL same shape [seq_len] + episode_id: str + all_token_ids: torch.Tensor # All tokens [seq_len] + response_mask: torch.Tensor # Boolean mask: True = agent token [seq_len] + targets: torch.Tensor # Next-token targets with IGNORE_INDEX [seq_len] + reward: float + + # Optional fields + task_name: str = "blackjack" + generator_version: int = 0 + is_truncated: bool = False + logprobs: torch.Tensor | None = None # vLLM logprobs [seq_len] (optional) + ref_logprobs: torch.Tensor | None = None # Ref model logprobs [seq_len] + advantage: float | None = None + metadata: dict[str, Any] = field(default_factory=dict) + message_log: list[dict[str, str]] | None = None +``` + +**Key changes:** +- `response_mask` is now `torch.bool` dtype +- `targets` is a required field, same shape as `all_token_ids` +- All core tensors are `[seq_len]` + +--- + +### 3. do_single_rollout - Create Episode with Targets + +**main_v2.py - do_single_rollout (around line 765):** + +Replace the episode creation section: + +```python +# ============ Create episode ============ +print(f"\n[do_single_rollout] Creating episode {game_id}") + +# Convert to tensors +all_tokens_tensor = torch.tensor(accumulator.accumulated_tokens, dtype=torch.long) +response_mask_tensor = torch.tensor(accumulator.response_mask, dtype=torch.bool) # bool dtype +logprobs_tensor = torch.tensor(accumulator.logprobs, dtype=torch.float) + +# Create targets for full sequence +targets_tensor = create_next_token_targets(all_tokens_tensor, response_mask_tensor) + +print(f" Total tokens: {len(all_tokens_tensor)}") +print(f" Response tokens: {response_mask_tensor.sum().item()}") +print(f" Response ratio: {response_mask_tensor.float().mean().item():.2%}") + +return Episode( + episode_id=game_id, + task_name="blackjack", + generator_version=generator_version, + is_truncated=accumulator.is_truncated, + all_token_ids=all_tokens_tensor, # [seq_len] + response_mask=response_mask_tensor, # [seq_len] bool + targets=targets_tensor, # [seq_len] with IGNORE_INDEX + reward=final_reward, + logprobs=logprobs_tensor, # [seq_len] from vLLM + message_log=accumulator.messages.copy(), + metadata={ + "truncation_reason": ( + accumulator.truncation_reason.value + if accumulator.truncation_reason + else None + ), + "hit_max_turns": hit_max_turns, + "num_turns": turn_num, + "num_response_tokens": response_mask_tensor.sum().item(), + **(result.metadata if "result" in locals() else {}), + }, +) +``` + +--- + +### 4. Update compute_logprobs (No Mask Parameter) + +**forge/util/ops.py - Keep existing compute_logprobs, no changes needed** + +The existing `compute_logprobs` function works fine. We'll just use it with full sequences. + +**In reference_model.py, we'll call it like:** +```python +# Compute logprobs for full sequence +logprobs = compute_logprobs(logits, input_ids, align=False) # [batch, seq_len] +``` + +No new function needed! The masking happens via IGNORE_INDEX in targets. + +--- + +### 5. Update ReferenceModel.forward + +**forge/actors/reference_model.py - forward endpoint:** + +Replace the entire forward method (lines 128-194): + +```python +@endpoint +async def forward( + self, + input_ids: torch.Tensor, # [batch, seq_len] + return_logprobs: bool +) -> torch.Tensor: + """ + Forward pass through reference model. + + Args: + input_ids: Input token ids [batch, seq_len] + return_logprobs: Whether to return log probabilities + + Returns: + If return_logprobs=False: logits [batch, seq_len, vocab_size] + If return_logprobs=True: logprobs [batch, seq_len] + """ + # Record reference model metrics + record_metric("reference_perf/forward/count_forward_passes", 1, Reduce.SUM) + record_metric( + "reference_perf/forward/avg_sequence_length", + input_ids.shape[1], + Reduce.MEAN, + ) + + t = Tracer("reference_perf/forward", timer="gpu", track_memory=True) + t.start() + self.engine.gc_handler.run(self.step) + t.step("garbage_collection") + + input_ids = input_ids.to("cuda") + t.step("to_device") + + optional_context_parallel_ctx = None + if self.engine.parallel_dims.pp_enabled: + raise NotImplementedError("PP not implemented yet") + else: + with self.engine.train_context(optional_context_parallel_ctx): + with self.engine.maybe_enable_amp: + with torch.inference_mode(): + logits = self.model(input_ids) + + self.step += 1 + if isinstance(logits, DTensor): + logits = logits.full_tensor() + t.step("forward") + + if not return_logprobs: + t.stop() + return logits + else: + # Compute logprobs for full sequence + # Use align=False since we're passing the same sequence we used for forward + logprobs = compute_logprobs(logits, input_ids, align=False) + + t.step("compute_logprobs") + t.stop() + return logprobs +``` + +**Changes:** +- Removed `max_req_tokens` parameter (single-turn assumption) +- Removed mask parameter (masking handled via IGNORE_INDEX in targets) +- Returns `[batch, seq_len]` tensor (same shape as input) +- Uses existing `compute_logprobs` function with `align=False` + +--- + +### 6. Update continuous_rollouts + +**main_v2.py - continuous_rollouts (lines 1190-1232):** + +Replace the ref_model section: + +```python +# ============ Step 4: Compute ref_model ============ +print(f"\n[continuous_rollouts] Preparing ref_model input") +max_len = max(len(e.all_token_ids) for e in episodes) +print(f" Max episode length: {max_len}") + +# Pad input_ids +padded_input_ids = [] + +for i, e in enumerate(episodes): + seq_len = len(e.all_token_ids) + pad_len = max_len - seq_len + + print(f" Episode {i}: tokens={seq_len}, response_tokens={e.response_mask.sum().item():.0f}") + + # Pad tokens + padded_tokens = F.pad(e.all_token_ids, (0, pad_len), value=pad_id) + padded_input_ids.append(padded_tokens) + +input_ids = torch.stack(padded_input_ids) # [batch, max_len] + +print(f" input_ids shape: {input_ids.shape}") + +# Call ref_model - returns [batch, max_len] +ref_logprobs_padded = await ref_model.forward.route( + input_ids, + return_logprobs=True +) + +t.step("reference_model_calculate_logprobs") + +# Assign ref_logprobs to episodes (unpad to original length) +for i, episode in enumerate(episodes): + seq_len = len(episode.all_token_ids) + episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] # [seq_len] + print(f" Episode {i} ref_logprobs shape: {episode.ref_logprobs.shape}") + + # Verify shape matches other tensors + assert episode.ref_logprobs.shape == episode.targets.shape == episode.all_token_ids.shape, \ + f"Shape mismatch in episode {i}" + +del ref_logprobs_padded, input_ids +``` + +**Key changes:** +- Only pad input_ids (no mask needed) +- Call ref_model with just input_ids +- Receive `[batch, max_len]` tensor back +- Unpad to original sequence length for each episode + +--- + +### 7. Update collate + +**main_v2.py - collate function (lines 880-948):** + +Replace entire function: + +```python +def collate( + batches: list[list[Episode]], +) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: + """ + Collates a list of batches (groups) into inputs and targets. + + All tensors are padded to max_seq_len within each batch. + + Args: + batches: List of groups, where each group is a list of Episodes + + Returns: + (inputs, targets) for training + """ + inputs = [] + targets_list = [] + + for batch in batches: + # Find max sequence length in this batch + max_seq_len = max(len(e.all_token_ids) for e in batch) + + pad_id = 0 # For token padding + + # Collect batch data + all_tokens = [] + response_masks = [] + targets_batch = [] + ref_logprobs_batch = [] + advantages_list = [] + + for e in batch: + seq_len = len(e.all_token_ids) + pad_len = max_seq_len - seq_len + + # Pad all_token_ids + padded_tokens = F.pad( + e.all_token_ids, + (0, pad_len), + value=pad_id + ) + all_tokens.append(padded_tokens) + + # Pad response_mask (False for padding) + padded_mask = F.pad( + e.response_mask, + (0, pad_len), + value=False + ) + response_masks.append(padded_mask) + + # Pad targets (IGNORE_INDEX for padding) + padded_targets = F.pad( + e.targets, + (0, pad_len), + value=IGNORE_INDEX + ) + targets_batch.append(padded_targets) + + # Pad ref_logprobs (0.0 for padding, but ignored via IGNORE_INDEX) + padded_ref_logprobs = F.pad( + e.ref_logprobs, + (0, pad_len), + value=0.0 + ) + ref_logprobs_batch.append(padded_ref_logprobs) + + # Advantage is scalar + advantages_list.append(e.advantage) + + # Stack everything + all_tokens_tensor = torch.stack(all_tokens) # [b, max_seq_len] + response_mask = torch.stack(response_masks) # [b, max_seq_len] + targets_tensor = torch.stack(targets_batch) # [b, max_seq_len] + ref_logprobs_tensor = torch.stack(ref_logprobs_batch) # [b, max_seq_len] + advantages = torch.tensor(advantages_list).unsqueeze(-1) # [b, 1] + + # Input: full conversation tokens + input = {"tokens": all_tokens_tensor} + + # Target: all data with same shape [b, max_seq_len] + target = { + "targets": targets_tensor, # [b, max_seq_len] + "ref_logprobs": ref_logprobs_tensor, # [b, max_seq_len] + "advantages": advantages, # [b, 1] + "response_mask": response_mask, # [b, max_seq_len] bool (for metrics) + } + + inputs.append(input) + targets_list.append(target) + + return inputs, targets_list +``` + +**Key changes:** +- Everything padded to `max_seq_len` (only one max length) +- `response_mask` padded with `False` +- `targets` padded with `IGNORE_INDEX` +- All tensors have shape `[batch, max_seq_len]` + +--- + +### 8. Update simple_grpo_loss (Tensorized, No For Loops) + +**main_v2.py - simple_grpo_loss (lines 951-981):** + +Replace entire function: + +```python +def simple_grpo_loss( + logits: torch.Tensor, # [b, seq_len, v] + targets: torch.Tensor, # [b, seq_len] + ref_logprobs: torch.Tensor, # [b, seq_len] + advantages: torch.Tensor, # [b, 1] + response_mask: torch.Tensor, # [b, seq_len] bool + beta: float = 0.1, +) -> torch.Tensor: + """ + Simple GRPO loss with multi-turn masking (fully tensorized). + + Args: + logits: Model logits [b, seq_len, vocab_size] + targets: Next-token targets [b, seq_len] with IGNORE_INDEX for non-response + ref_logprobs: Reference logprobs [b, seq_len] + advantages: Advantages [b, 1] + response_mask: Boolean mask for response positions [b, seq_len] + beta: KL penalty coefficient + + Returns: + Loss scalar + """ + batch_size, seq_len, vocab_size = logits.shape + + # Shift for next-token prediction + # logits[:, i] predicts tokens[:, i+1] + shifted_logits = logits[:, :-1, :] # [b, seq_len-1, vocab] + shifted_targets = targets[:, 1:] # [b, seq_len-1] + shifted_ref_logprobs = ref_logprobs[:, 1:] # [b, seq_len-1] + + # Compute policy logprobs (IGNORE_INDEX positions are automatically masked) + logprobs = -F.cross_entropy( + shifted_logits.reshape(-1, vocab_size), + shifted_targets.reshape(-1).long(), + reduction="none", + ignore_index=IGNORE_INDEX, + ).reshape(batch_size, seq_len - 1) + + # Create mask from targets (True where we have valid targets) + mask = (shifted_targets != IGNORE_INDEX).float() # [b, seq_len-1] + + # KL divergence (only computed where mask is True, but safe to compute everywhere) + kl = torch.exp(shifted_ref_logprobs - logprobs) - (shifted_ref_logprobs - logprobs) - 1 + + # Policy loss + per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages + per_token_loss = -(per_token_policy_loss - beta * kl) + + # Masked average (fully tensorized) + loss = (per_token_loss * mask).sum() / mask.sum().clamp(min=1.0) + + return loss +``` + +**Key changes:** +- **Fully tensorized**: No for loops over batch dimension +- Shift all tensors for next-token prediction +- Use `IGNORE_INDEX` for automatic masking in cross_entropy +- Create mask from targets for KL and policy loss +- Single global average (not per-sample) + +--- + +## Summary of All Changes + +| File | Function/Class | Change | +|------|----------------|--------| +| `main_v2.py` | Constants | Add `IGNORE_INDEX = -100` | +| `main_v2.py` | NEW | Add `create_next_token_targets()` | +| `main_v2.py` | Episode | `response_mask` is bool, `targets` is required, all `[seq_len]` | +| `main_v2.py` | do_single_rollout | Create targets, use bool mask | +| `main_v2.py` | continuous_rollouts | Remove mask parameter to ref_model | +| `main_v2.py` | collate | Pad everything to max_seq_len | +| `main_v2.py` | simple_grpo_loss | Fully tensorized, shift tensors, use IGNORE_INDEX | +| `ops.py` | - | No changes needed | +| `reference_model.py` | forward | Remove max_req_tokens, return full sequence | + +--- + +## Shape Flow Example + +**Episode creation:** +``` +all_token_ids: [250] (system + user1 + agent1 + user2 + agent2) +response_mask: [250] (bool: True for agent tokens) +targets: [250] (shifted, with IGNORE_INDEX for non-agent) +ref_logprobs: [250] (computed later, full sequence) +``` + +**In collate (batch of 4 episodes):** +``` +max_seq_len = 250 + +Input: + tokens: [4, 250] + +Target: + targets: [4, 250] (with IGNORE_INDEX) + ref_logprobs: [4, 250] (0.0 for non-response, ignored via IGNORE_INDEX) + advantages: [4, 1] + response_mask: [4, 250] (bool, for metrics/debugging) +``` + +**In loss:** +``` +logits: [4, 250, vocab_size] (from model) +Shift: + shifted_logits: [4, 249, vocab_size] + shifted_targets: [4, 249] + +Compute loss only where shifted_targets != IGNORE_INDEX +``` + +--- + +## Testing + +1. **Shape assertions:** +```python +# After episode creation +assert episode.all_token_ids.shape == episode.response_mask.shape == episode.targets.shape +assert episode.response_mask.dtype == torch.bool + +# After ref_model +assert episode.ref_logprobs.shape == episode.all_token_ids.shape + +# After collate +assert targets.shape == ref_logprobs.shape == (batch_size, max_seq_len) +``` + +2. **Value checks:** +```python +# Targets should have IGNORE_INDEX for non-response positions +# For response positions: targets[i] = all_token_ids[i+1] +response_positions = torch.where(response_mask)[0] +for pos in response_positions[:-1]: # Exclude last position + if pos + 1 < len(all_token_ids) and response_mask[pos + 1]: + # Next token is also a response, should not be IGNORE_INDEX + assert targets[pos] != IGNORE_INDEX +``` + +--- + +## Breaking Changes + +**ref_model.forward API:** + +**Before:** +```python +ref_logprobs = await ref_model.forward.route( + input_ids, max_req_tokens=0, return_logprobs=True +) # Returns: [batch, variable_response_len] +``` + +**After:** +```python +ref_logprobs = await ref_model.forward.route( + input_ids, return_logprobs=True +) # Returns: [batch, seq_len] (full sequence) +``` + +All callers of ref_model must be updated. diff --git a/out.txt b/out.txt index 690c30d10..344501f54 100644 --- a/out.txt +++ b/out.txt @@ -1,26 +1,24 @@ Warning: setting HYPERACTOR_CODEC_MAX_FRAME_LENGTH since this needs to be set to enable large RPC calls via Monarch -INFO 11-17 21:07:37 [__init__.py:235] Automatically detected platform cuda. -Starting OpenSpiel server for game 'blackjack' on port 9000... +INFO 11-19 07:50:23 [__init__.py:235] Automatically detected platform cuda. +Starting OpenSpiel server 0 for game 'blackjack' on port 9000... Using game string: blackjack [SERVER] Starting uvicorn for game 'blackjack' on port 9000 -INFO: Started server process [2710960] +INFO: Started server process [3539366] INFO: Waiting for application startup. INFO: Application startup complete. INFO: Uvicorn running on http://0.0.0.0:9000 (Press CTRL+C to quit) -INFO: 127.0.0.1:36624 - "GET /health HTTP/1.1" 200 OK -Waiting for OpenSpiel server to be ready... -[DEBUG] Health check attempt 1 failed: ConnectionError: HTTPConnectionPool(host='localhost', port=9000): Max retries exceeded with url: /health (Caused by NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused')) -[DEBUG] Health check attempt 2: status=200 -✓ OpenSpiel server ready (took 2s) +Waiting for 1 OpenSpiel servers to be ready... +[DEBUG] Server 0 health check attempt 1 failed: ConnectionError +✓ OpenSpiel server 0 ready on port 9000 (took 2s) Launcher not provided, remote allocations will not work. wandb: Currently logged in as: felipemello (cabernet-team) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin -wandb: setting up run yvzwcfys +wandb: setting up run o4d5i6sg wandb: Tracking run with wandb version 0.23.0 -wandb: Run data is saved locally in /home/felipemello/forge/wandb/run-20251117_210743-yvzwcfys +wandb: Run data is saved locally in /home/felipemello/forge/wandb/run-20251119_075029-o4d5i6sg wandb: Run `wandb offline` to turn off syncing. -wandb: Syncing run denim-gorge-47 +wandb: Syncing run sunny-disco-70 wandb: ⭐️ View project at https://wandb.ai/cabernet-team/blackjack-grpo -wandb: 🚀 View run at https://wandb.ai/cabernet-team/blackjack-grpo/runs/yvzwcfys +wandb: 🚀 View run at https://wandb.ai/cabernet-team/blackjack-grpo/runs/o4d5i6sg wandb: Detected [openai] in use. wandb: Use W&B Weave for improved LLM call tracing. Install Weave with `pip install weave` then add `import weave` to the top of your script. wandb: For more information, check out the docs at: https://weave-docs.wandb.ai/ @@ -30,397 +28,62922 @@ Spawning actor TitanTrainer Spawning actor ReplayBuffer Spawning actor ComputeAdvantages Spawning service ReferenceModel -EnvironmentActor initialized (model: Qwen/Qwen3-1.7B) -[TitanTrainer-0/1] 2025-11-17 21:07:54 INFO Compiling loss -[TitanTrainer-0/1] 2025-11-17 21:07:57 INFO Building 0-D device mesh with [], [] -[TitanTrainer-0/1] 2025-11-17 21:07:57 INFO [GC] Initial GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-17 21:07:58 INFO Total parameter count: dense 2,031,739,904, sparse 0, active 2,031,739,904 -[TitanTrainer-0/1] 2025-11-17 21:07:58 INFO Applied selective activation checkpointing to the model +[TitanTrainer-0/1] 2025-11-19 07:50:44 INFO Compiling loss +[TitanTrainer-0/1] 2025-11-19 07:50:47 INFO Building 0-D device mesh with [], [] +[TitanTrainer-0/1] 2025-11-19 07:50:47 INFO [GC] Initial GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:50:48 INFO Total parameter count: dense 2,031,739,904, sparse 0, active 2,031,739,904 +[TitanTrainer-0/1] 2025-11-19 07:50:48 INFO Applied selective activation checkpointing to the model NCCL version 2.27.5+cuda12.9 -[TitanTrainer-0/1] 2025-11-17 21:07:58 INFO Checkpointing active. Checkpoints will be loaded from and saved to ./checkpoint -[TitanTrainer-0/1] 2025-11-17 21:07:58 INFO Mixed precision training is handled by AMP -[TitanTrainer-0/1] 2025-11-17 21:07:58 INFO loading from HF safetensors from --checkpoint.initial_load_path: /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e -[TitanTrainer-0/1] 2025-11-17 21:07:58 INFO Loading the checkpoint from /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e. -[TitanTrainer-0/1] 2025-11-17 21:07:59 INFO [GC] GC collection for checkpoint loading. took 0.00 seconds -[TitanTrainer-0/1] 2025-11-17 21:07:59 INFO Finished loading the checkpoint in 0.84 seconds. -INFO 11-17 21:08:00 [__init__.py:235] Automatically detected platform cuda. -[ReferenceModel-0/1] 2025-11-17 21:08:01 INFO Building 0-D device mesh with [], [] -[ReferenceModel-0/1] 2025-11-17 21:08:01 INFO [GC] Initial GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-17 21:08:02 INFO Total parameter count: dense 2,031,739,904, sparse 0, active 2,031,739,904 -[ReferenceModel-0/1] 2025-11-17 21:08:02 INFO Applied selective activation checkpointing to the model +[TitanTrainer-0/1] 2025-11-19 07:50:50 INFO Checkpointing active. Checkpoints will be loaded from and saved to ./checkpoint +[TitanTrainer-0/1] 2025-11-19 07:50:50 INFO Mixed precision training is handled by AMP +[TitanTrainer-0/1] 2025-11-19 07:50:50 INFO loading from HF safetensors from --checkpoint.initial_load_path: /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e +[TitanTrainer-0/1] 2025-11-19 07:50:50 INFO Loading the checkpoint from /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e. +INFO 11-19 07:50:50 [__init__.py:235] Automatically detected platform cuda. +[TitanTrainer-0/1] 2025-11-19 07:50:50 INFO [GC] GC collection for checkpoint loading. took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:50:50 INFO Finished loading the checkpoint in 0.86 seconds. +[ReferenceModel-0/1] 2025-11-19 07:50:51 INFO Building 0-D device mesh with [], [] +[ReferenceModel-0/1] 2025-11-19 07:50:51 INFO [GC] Initial GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:50:52 INFO Total parameter count: dense 2,031,739,904, sparse 0, active 2,031,739,904 +[ReferenceModel-0/1] 2025-11-19 07:50:52 INFO Applied selective activation checkpointing to the model NCCL version 2.27.5+cuda12.9 -[ReferenceModel-0/1] 2025-11-17 21:08:02 INFO Checkpointing active. Checkpoints will be loaded from and saved to -[ReferenceModel-0/1] 2025-11-17 21:08:02 INFO Mixed precision training is handled by AMP -[ReferenceModel-0/1] 2025-11-17 21:08:02 INFO loading from HF safetensors from --checkpoint.initial_load_path: /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e -[ReferenceModel-0/1] 2025-11-17 21:08:02 INFO Loading the checkpoint from /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e. -[ReferenceModel-0/1] 2025-11-17 21:08:03 INFO [GC] GC collection for checkpoint loading. took 0.04 seconds -[ReferenceModel-0/1] 2025-11-17 21:08:03 INFO Finished loading the checkpoint in 0.87 seconds. +[ReferenceModel-0/1] 2025-11-19 07:50:52 INFO Checkpointing active. Checkpoints will be loaded from and saved to +[ReferenceModel-0/1] 2025-11-19 07:50:52 INFO Mixed precision training is handled by AMP +[ReferenceModel-0/1] 2025-11-19 07:50:52 INFO loading from HF safetensors from --checkpoint.initial_load_path: /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e +[ReferenceModel-0/1] 2025-11-19 07:50:52 INFO Loading the checkpoint from /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e. +[ReferenceModel-0/1] 2025-11-19 07:50:53 INFO [GC] GC collection for checkpoint loading. took 0.04 seconds +[ReferenceModel-0/1] 2025-11-19 07:50:53 INFO Finished loading the checkpoint in 0.74 seconds. `torch_dtype` is deprecated! Use `dtype` instead! -INFO 11-17 21:08:08 [config.py:1604] Using max model len 40960 -INFO 11-17 21:08:08 [config.py:2434] Chunked prefill is enabled with max_num_batched_tokens=16384. -INFO 11-17 21:08:10 [__init__.py:235] Automatically detected platform cuda. -WARNING 11-17 21:08:12 [multiproc_worker_utils.py:307] Reducing Torch parallelism from 192 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. -[W1117 21:08:14.496738043 ProcessGroupNCCL.cpp:924] Warning: TORCH_NCCL_AVOID_RECORD_STREAMS is the default now, this environment variable is thus deprecated. (function operator()) +INFO 11-19 07:50:57 [config.py:1604] Using max model len 40960 +INFO 11-19 07:50:58 [config.py:2434] Chunked prefill is enabled with max_num_batched_tokens=16384. +INFO 11-19 07:51:00 [__init__.py:235] Automatically detected platform cuda. +WARNING 11-19 07:51:01 [multiproc_worker_utils.py:307] Reducing Torch parallelism from 192 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. +[W1119 07:51:03.418535756 ProcessGroupNCCL.cpp:924] Warning: TORCH_NCCL_AVOID_RECORD_STREAMS is the default now, this environment variable is thus deprecated. (function operator()) [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -INFO 11-17 21:08:14 [parallel_state.py:1102] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 -WARNING 11-17 21:08:14 [topk_topp_sampler.py:59] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer. -INFO 11-17 21:08:14 [gpu_model_runner.py:1843] Starting to load model Qwen/Qwen3-1.7B... -INFO 11-17 21:08:15 [gpu_model_runner.py:1875] Loading model from scratch... -INFO 11-17 21:08:15 [cuda.py:290] Using Flash Attention backend on V1 engine. -INFO 11-17 21:08:16 [weight_utils.py:296] Using model weights format ['*.safetensors'] +INFO 11-19 07:51:03 [parallel_state.py:1102] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 +WARNING 11-19 07:51:03 [topk_topp_sampler.py:59] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer. +INFO 11-19 07:51:03 [gpu_model_runner.py:1843] Starting to load model Qwen/Qwen3-1.7B... +INFO 11-19 07:51:04 [gpu_model_runner.py:1875] Loading model from scratch... +INFO 11-19 07:51:04 [cuda.py:290] Using Flash Attention backend on V1 engine. +INFO 11-19 07:51:05 [weight_utils.py:296] Using model weights format ['*.safetensors'] Loading safetensors checkpoint shards: 0% Completed | 0/2 [00:00 tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 0] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 7/8 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 1] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 8 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=0 + +================================================================================ +[ROLLOUT 2] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 19 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 2 + [2] assistant : HIT + [3] user : Hand: 21, Dealer: 2 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100 +✓ 16/17 trainable positions have valid targets +[TRAINING] Step 0: Starting training +[BUFFER ADD] Added 4/4 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 3] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ -[do_single_rollout] Turn 0 - Remaining budget: 1999 - Current tokens: 46 - Max seq len: 2048 - Calling vLLM with max_tokens=1999 - -[do_single_rollout] Turn 0 - Remaining budget: 1999 - Current tokens: 46 - Max seq len: 2048 - Calling vLLM with max_tokens=1999 - -[do_single_rollout] Turn 0 - Remaining budget: 1999 - Current tokens: 46 - Max seq len: 2048 - Calling vLLM with max_tokens=1999 - -[do_single_rollout] Turn 0 - Remaining budget: 1999 - Current tokens: 46 - Max seq len: 2048 - Calling vLLM with max_tokens=1999 - vLLM returned 656 tokens - [DEBUG] About to get generator_version - [DEBUG] Got generator_version: 0 - [DEBUG] About to extract logprobs - [DEBUG] Got logprobs: False - [DEBUG] About to access response.text - [DEBUG] Got response.text, length: 2745 - [DEBUG] About to access response.token_ids as list - [DEBUG] Got response.token_ids, length: 656 - [DEBUG] About to call add_assistant_response -[TokenAccumulator] ===== ENTERED add_assistant_response ===== -[TokenAccumulator] About to tokenize assistant response -[TokenAccumulator] Response text length: 2745 chars -[TokenAccumulator] Response token_ids length: 656 tokens -[TokenAccumulator] First 150 chars: -Okay, let's see. The user has a BlackJack hand and a dealer's visible card. But the hand and dealer are both unknown. The question is to outpu -[TokenAccumulator] Tokenization complete, got 660 tokens - -[do_single_rollout] Turn 1 - Remaining budget: 1328 - Current tokens: 717 - Max seq len: 2048 - Calling vLLM with max_tokens=1328 - vLLM returned 886 tokens - [DEBUG] About to get generator_version - [DEBUG] Got generator_version: 0 - [DEBUG] About to extract logprobs - [DEBUG] Got logprobs: False - [DEBUG] About to access response.text - [DEBUG] Got response.text, length: 3833 - [DEBUG] About to access response.token_ids as list - [DEBUG] Got response.token_ids, length: 886 - [DEBUG] About to call add_assistant_response -[TokenAccumulator] ===== ENTERED add_assistant_response ===== -[TokenAccumulator] About to tokenize assistant response -[TokenAccumulator] Response text length: 3833 chars -[TokenAccumulator] Response token_ids length: 886 tokens -[TokenAccumulator] First 150 chars: -Okay, let's see. The user has a BlackJack hand with a value of ?, and the dealer has a value of ?. I need to determine whether to hit or stand -[TokenAccumulator] Tokenization complete, got 890 tokens - -[do_single_rollout] Turn 1 - Remaining budget: 1098 - Current tokens: 947 - Max seq len: 2048 - Calling vLLM with max_tokens=1098 - vLLM returned 1146 tokens - [DEBUG] About to get generator_version - [DEBUG] Got generator_version: 0 - [DEBUG] About to extract logprobs - [DEBUG] Got logprobs: False - [DEBUG] About to access response.text - [DEBUG] Got response.text, length: 4868 - [DEBUG] About to access response.token_ids as list - [DEBUG] Got response.token_ids, length: 1146 - [DEBUG] About to call add_assistant_response -[TokenAccumulator] ===== ENTERED add_assistant_response ===== -[TokenAccumulator] About to tokenize assistant response -[TokenAccumulator] Response text length: 4868 chars -[TokenAccumulator] Response token_ids length: 1146 tokens -[TokenAccumulator] First 150 chars: -Okay, let's see. The user is playing BlackJack, and the current hand is ?, and the dealer is ?. I need to decide whether to hit or stand. But -[TokenAccumulator] Tokenization complete, got 1150 tokens - -[do_single_rollout] Turn 1 - Remaining budget: 838 - Current tokens: 1207 - Max seq len: 2048 - Calling vLLM with max_tokens=838 - vLLM returned 1179 tokens - [DEBUG] About to get generator_version - [DEBUG] Got generator_version: 0 - [DEBUG] About to extract logprobs - [DEBUG] Got logprobs: False - [DEBUG] About to access response.text - [DEBUG] Got response.text, length: 5011 - [DEBUG] About to access response.token_ids as list - [DEBUG] Got response.token_ids, length: 1179 - [DEBUG] About to call add_assistant_response -[TokenAccumulator] ===== ENTERED add_assistant_response ===== -[TokenAccumulator] About to tokenize assistant response -[TokenAccumulator] Response text length: 5011 chars -[TokenAccumulator] Response token_ids length: 1179 tokens -[TokenAccumulator] First 150 chars: -Okay, let's see. The user has a Blackjack hand and a dealer's visible card. But the hand and dealer are both unknown. The task is to determine -[TokenAccumulator] Tokenization complete, got 1183 tokens - -[do_single_rollout] Creating episode game_2_b619ed1f - Final tokens: 1229 - Final mask: 1229 - Final logprobs: 1229 - Is truncated: False - Truncation reason: None - Hit max turns: False - Max seq len: 2048 - vLLM returned 384 tokens - [DEBUG] About to get generator_version - [DEBUG] Got generator_version: 0 - [DEBUG] About to extract logprobs - [DEBUG] Got logprobs: False - [DEBUG] About to access response.text - [DEBUG] Got response.text, length: 1572 - [DEBUG] About to access response.token_ids as list - [DEBUG] Got response.token_ids, length: 384 - [DEBUG] About to call add_assistant_response -[TokenAccumulator] ===== ENTERED add_assistant_response ===== -[TokenAccumulator] About to tokenize assistant response -[TokenAccumulator] Response text length: 1572 chars -[TokenAccumulator] Response token_ids length: 384 tokens -[TokenAccumulator] First 150 chars: -Okay, let's see. The user is playing Blackjack, and their hand and the dealer's upcard are both unknown. The previous action was 'HIT', so the -[TokenAccumulator] Tokenization complete, got 388 tokens - -[do_single_rollout] Turn 2 - Remaining budget: 699 - Current tokens: 1346 - Max seq len: 2048 - Calling vLLM with max_tokens=699 - vLLM returned 815 tokens - [DEBUG] About to get generator_version - [DEBUG] Got generator_version: 0 - [DEBUG] About to extract logprobs - [DEBUG] Got logprobs: False - [DEBUG] About to access response.text - [DEBUG] Got response.text, length: 3396 - [DEBUG] About to access response.token_ids as list - [DEBUG] Got response.token_ids, length: 815 - [DEBUG] About to call add_assistant_response -[TokenAccumulator] ===== ENTERED add_assistant_response ===== -[TokenAccumulator] About to tokenize assistant response -[TokenAccumulator] Response text length: 3396 chars -[TokenAccumulator] Response token_ids length: 815 tokens -[TokenAccumulator] First 150 chars: -Okay, let's see. The user has a Black Jack hand and a dealer's visible card. The previous action was 'HIT', so I need to decide whether to hit -[TokenAccumulator] Tokenization complete, got 819 tokens - -[do_single_rollout] Creating episode game_0_6b7c6915 - Final tokens: 1536 - Final mask: 1536 - Final logprobs: 1536 - Is truncated: False - Truncation reason: None - Hit max turns: False - Max seq len: 2048 - vLLM returned 367 tokens - [DEBUG] About to get generator_version - [DEBUG] Got generator_version: 0 - [DEBUG] About to extract logprobs - [DEBUG] Got logprobs: False - [DEBUG] About to access response.text - [DEBUG] Got response.text, length: 1592 - [DEBUG] About to access response.token_ids as list - [DEBUG] Got response.token_ids, length: 367 - [DEBUG] About to call add_assistant_response -[TokenAccumulator] ===== ENTERED add_assistant_response ===== -[TokenAccumulator] About to tokenize assistant response -[TokenAccumulator] Response text length: 1592 chars -[TokenAccumulator] Response token_ids length: 367 tokens -[TokenAccumulator] First 150 chars: -Okay, let's see. The user is playing BlackJack, and the current hand is unknown, and the dealer's hand is also unknown. The previous action wa -[TokenAccumulator] Tokenization complete, got 371 tokens - -[do_single_rollout] Turn 2 - Remaining budget: 456 - Current tokens: 1589 - Max seq len: 2048 - Calling vLLM with max_tokens=456 - vLLM returned 615 tokensINFO: 127.0.0.1:43276 - "POST /step HTTP/1.1" 200 OK +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 7/8 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 4] Episode 0 Debug Info[ReferenceModel-0/1] 2025-11-19 07:51:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:51:51 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:51:51 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:51:52 INFO [GC] Performing periodic GC collection took 0.00 seconds /home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/torch/cuda/memory.py:491: FutureWarning: torch.cuda.reset_max_memory_allocated now calls torch.cuda.reset_peak_memory_stats, which resets /all/ peak memory stats. warnings.warn( -[ReferenceModel-0/1] 2025-11-17 21:09:07 CRITICAL Unhandled exception in actor endpoint +[TitanTrainer-0/1] 2025-11-19 07:51:52 INFO Pushing weights for policy version 1 + +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 229, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 7/8 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=0 + +================================================================================ +[ROLLOUT 5] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 7/8 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 6] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=0 + +================================================================================ +[ROLLOUT 7] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 19 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 3 + [2] assistant : HIT + [3] user : Hand: 19, Dealer: 3 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100 +✓ 16/17 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=0 + +================================================================================ +[ROLLOUT 8] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 19 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 7 + [2] assistant : HIT + [3] user : Hand: 20, Dealer: 7 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:51:53 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:51:54 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:51:54 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100 +✓ 16/17 trainable positions have valid targets +[ROLLOUT 8] ⚠️ DROPPED GROUP - All 4 episodes have same reward: 3.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 9] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 229, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 7/8 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 10] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 11] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 3 +Total tokens: 291, Trainable tokens: 27 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 4 + [2] assistant : HIT + [3] user : Hand: 12, Dealer: 4 + [4] assistant : HIT + [5] user : Hand: 15, Dealer: 4 + [6] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +HIT<|im_end|> +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 4 non-trainable positions have target=-100 +✓ 23/24 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=0 + +================================================================================ +[ROLLOUT 12] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 3 +Total tokens: 292, Trainable tokens: 28 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 4, Dealer: 3 + [2] assistant : HIT + [3] user : Hand: 11, Dealer: 3 + [4] assistant : HIT + [5] user : Hand: 21, Dealer: 3 + [6] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 4, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:51:55 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:51:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:51:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:51:56 INFO Completed weights push in 3.64 seconds +[Generator-0/1] 2025-11-19 07:51:56 INFO [Generator] Fetching weights for v1 to shared memory +INFO 11-19 07:51:59 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:51:59 INFO Weight update completed (now v1) + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 4 non-trainable positions have target=-100 +✓ 24/25 trainable positions have valid targets +[ROLLOUT 12] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -1.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 13] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 6 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=0 + +================================================================================ +[ROLLOUT 14] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 19 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 5 + [2] assistant : HIT + [3] user : Hand: 19, Dealer: 5 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100 +✓ 16/17 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 15] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 264, Trainable tokens: 19 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 20, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100 +✓ 16/17 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=0 +WandbBackend: Logged 95 metrics at step 1 +=== [global_reduce] - METRICS STEP 1 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 56.0 + buffer/episodes_accepted: 56.0 + buffer/episodes_generated: 56.0 + buffer/evict/sum_episodes_evicted: 0.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 1.5 + buffer/sample/avg_sampled_policy_age: 0.0 + buffer/sample/count_sample_requests: 4.0 + buffer/sample/max_sampled_policy_age: 0.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0009234987664967775 + buffer_perf/sample/total_duration_max_s: 0.003390314057469368 + episode/total_tokens: 249.53731343283582 + episode/turns: 1.626865671641791 + game/average_turns: 1.626865671641791 + game/env_reward: -0.208955223880597 + game/games_played: 67.0 + game/invalid_action_penalty: 12.0 + game/invalid_action_rate: 0.11009174311926606 + game/missing_answer_tags: 12.0 + game/win_rate: 0.373134328358209 + generator/generate/avg_tokens_generated: 26.40909090909091 + generator/generate/count_requests: 111.0 + generator/generate/count_sequences_completed: 110.0 + generator/generate/sum_tokens_generated: 2905.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 2.144261089153588 + generator_perf/_fetch_weights/total_duration_max_s: 2.144261089153588 + generator_perf/generate/generate/duration_avg_s: 0.11542338601892649 + generator_perf/generate/generate/duration_max_s: 8.8476845703125 + generator_perf/generate/process_inputs/duration_avg_s: 0.0011044805813919412 + generator_perf/generate/process_inputs/duration_max_s: 0.018380640029907226 + generator_perf/generate/total_duration_avg_s: 0.11662334005480464 + generator_perf/generate/total_duration_max_s: 8.866266074344516 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 2.104058955796063 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 2.104058955796063 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7352613098919392 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7352613098919392 + groups/rate_dropped: 0.125 + main/continuous_rollouts/count_rollout_iterations: 14.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.2884294734103605 + main_perf/continuous_rollouts/play_games/duration_max_s: 0.38230503257364035 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.3508930743139769 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.7865569433197379 + main_perf/continuous_rollouts/total_duration_avg_s: 0.6094270756002516 + main_perf/continuous_rollouts/total_duration_max_s: 1.1915254788473248 + main_perf/continuous_training/push_weights/duration_avg_s: 3.6466204980388284 + main_perf/continuous_training/push_weights/duration_max_s: 3.6466204980388284 + main_perf/continuous_training/total_duration_avg_s: 13.441471725702286 + main_perf/continuous_training/total_duration_max_s: 13.441471725702286 + main_perf/continuous_training/train_step/duration_avg_s: 3.6429571509361267 + main_perf/continuous_training/train_step/duration_max_s: 3.6429571509361267 + main_perf/continuous_training/update_weights/duration_avg_s: 3.137825512327254 + main_perf/continuous_training/update_weights/duration_max_s: 3.137825512327254 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 3.0140655897557735 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 3.0140655897557735 + reference_perf/forward/avg_sequence_length: 275.5 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.013976369252694505 + reference_perf/forward/compute_logprobs/duration_max_s: 0.19410584680736065 + reference_perf/forward/count_forward_passes: 14.0 + reference_perf/forward/forward/duration_avg_s: 0.3277049099228212 + reference_perf/forward/forward/duration_max_s: 0.5837151017040014 + reference_perf/forward/garbage_collection/duration_avg_s: 0.0003820889230285372 + reference_perf/forward/garbage_collection/duration_max_s: 0.0006339121609926224 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.3141100747244699 + reference_perf/forward/memory_peak_max_gb: 6.038649082183838 + reference_perf/forward/to_device/duration_avg_s: 0.00011335260101727076 + reference_perf/forward/to_device/duration_max_s: 0.00012060161679983139 + reference_perf/forward/total_duration_avg_s: 0.34217924338632394 + reference_perf/forward/total_duration_max_s: 0.7783356197178364 + rl_trainer/avg_loss: 0.0 + rl_trainer/learning_rate: 1e-05 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0004719262942671776 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0004719262942671776 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.000507500022649765 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.000507500022649765 + rl_trainer_perf/push_weights/total_duration_avg_s: 3.644510838203132 + rl_trainer_perf/push_weights/total_duration_max_s: 3.644510838203132 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 3.6435226490721107 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 3.6435226490721107 + rl_trainer_perf/step/forward_backward/duration_avg_s: 3.5631229002028704 + rl_trainer_perf/step/forward_backward/duration_max_s: 3.5631229002028704 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 7.6315484046936035 + rl_trainer_perf/step/memory_peak_max_gb: 15.202349662780762 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.054454254917800426 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.054454254917800426 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017288179136812687 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017288179136812687 + rl_trainer_perf/step/total_duration_avg_s: 3.63486884906888 + rl_trainer_perf/step/total_duration_max_s: 3.63486884906888 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:51:59 INFO [GC] Performing periodic GC collection took 0.01 seconds +[ReferenceModel-0/1] 2025-11-19 07:51:59 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:00 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:00 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:01 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 1: Starting training + +================================================================================ +[ROLLOUT 16] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 7/8 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=0 + +================================================================================ +[ROLLOUT 17] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 10 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 8/9 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 18] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 264, Trainable tokens: 19 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 21, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100 +✓ 16/17 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=1 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 19] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 263, Trainable tokens: 19 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 19, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100 +✓ 16/17 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=1 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'To determine the best action, let's analyze the current state: + +- **Your hand**: 14 +- **Dealer's hand**: Ace (1) +- **Dealer must hit until reaching 17+**, so the dealer will hit until their total is at least 17. + +### What's the best move? + +Your hand is 14, and the dealer has an Ace (1). The dealer has a low total, so they are likely to hit. Let's consider what happens if you **hit**: + +- **Your hand becomes 14 + next card** +- The dealer will hit until their total is at least 17. + +Let’s simulate: + +#### Option 1: You HIT +- You take another card, increasing your total. Let's say you get a 7 → your hand is 21 (win). +- The dealer, with a 1, will hit: + - They could get 10 (face card) → total 11 + - They could get 9 → total 10 + - They could get 8 → total 9 + - Etc. + +If the dealer's total is 17 or higher, they stand. If it's less than 17, they hit again. + +### Option 2: You STAND +- You keep your current hand of 14. +- Dealer will hit until 17 or higher. + +### Which is better? + +If you **hit** and get a 7 (making your total 21), you win immediately. + +### Recommended Action: +**HIT** (since you can win immediately by getting a 7)...'[ReferenceModel-0/1] 2025-11-19 07:52:03 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:04 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:04 INFO [GC] Performing periodic GC collection took 0.00 seconds +/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/torch/cuda/memory.py:491: FutureWarning: torch.cuda.reset_max_memory_allocated now calls torch.cuda.reset_peak_memory_stats, which resets /all/ peak memory stats. + warnings.warn( +[TitanTrainer-0/1] 2025-11-19 07:52:05 INFO Pushing weights for policy version 2 + +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT + +Your hand is 13, dealer is 6. You need to hit to get closer to 21. Let's assume you draw a 8 (total 21). Then you stand. The dealer's hand is 6, and you have 21. You win....' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 20] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 6 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 21] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 229, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 7/8 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 22] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 19 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 9 + [2] assistant : HIT + [3] user : Hand: 17, Dealer: 9 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100 +✓ 16/17 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 23] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 261, Trainable tokens: 18 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 4 + [2] assistant : HIT + [3] user : Hand: 15, Dealer: 4 + [4] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100 +✓ 15/16 trainable positions have valid targets +[ROLLOUT 23] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -1.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 24] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 19 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi...[ReferenceModel-0/1] 2025-11-19 07:52:05 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:05 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:06 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:52:07 INFO Completed weights push in 2.80 seconds +[Generator-0/1] 2025-11-19 07:52:07 INFO [Generator] Fetching weights for v2 to shared memory +INFO 11-19 07:52:10 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:52:10 INFO Weight update completed (now v2) + + [1] user : Hand: 11, Dealer: 7 + [2] assistant : HIT + [3] user : Hand: 20, Dealer: 7 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100 +✓ 16/17 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=1 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT + +Your hand is 19, and the dealer has 9. Since the dealer must hit until reaching 17, it's likely the dealer will hit and potentially reach 17 or higher. Taking another card will increase your hand total, so I'll HIT to try to get closer to 21....' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 25] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=1 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT + +Your current hand is 15. The dealer has 8. Since you're below 17, you should HIT to improve your hand. Let's assume you draw a 6 (total 21), and the dealer draws a 10 (total 18). Now your hand is 21, and the dealer is 18. You win because you have exactly 21....' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 26] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 19 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 8 + [2] assistant : HIT + [3] user : Hand: 21, Dealer: 8 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100 +✓ 16/17 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=1 +Dropping weights @ version 1 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 27] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 263, Trainable tokens: 18 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 18, Dealer: 10 + [4] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100[ReferenceModel-0/1] 2025-11-19 07:52:10 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:11 INFO [GC] Performing periodic GC collection took 0.00 seconds + +✓ 15/16 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=1 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 28] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +Dropped weights @ version 1, took 0.89 seconds +WandbBackend: Logged 97 metrics at step 2 +=== [global_reduce] - METRICS STEP 2 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 44.0 + buffer/episodes_accepted: 44.0 + buffer/episodes_generated: 44.0 + buffer/evict/sum_episodes_evicted: 8.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.16666666666666666 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + buffer_perf/sample/total_duration_avg_s: 0.0006777876988053322 + buffer_perf/sample/total_duration_max_s: 0.0006777876988053322 + episode/total_tokens: 266.9591836734694 + episode/turns: 1.653061224489796 + game/average_turns: 1.653061224489796 + game/env_reward: -0.24489795918367346 + game/games_played: 49.0 + game/invalid_action_penalty: 13.0 + game/invalid_action_rate: 0.16049382716049382 + game/missing_answer_tags: 13.0 + game/win_rate: 0.3469387755102041 + generator/generate/avg_tokens_generated: 17.790123456790123 + generator/generate/count_requests: 80.0 + generator/generate/count_sequences_completed: 81.0 + generator/generate/sum_tokens_generated: 1441.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.4907773593440652 + generator_perf/_fetch_weights/total_duration_max_s: 1.4907773593440652 + generator_perf/generate/generate/duration_avg_s: 0.13847527626414363 + generator_perf/generate/generate/duration_max_s: 3.128379638671875 + generator_perf/generate/process_inputs/duration_avg_s: 0.0009450706142363031 + generator_perf/generate/process_inputs/duration_max_s: 0.0019677120447158815 + generator_perf/generate/total_duration_avg_s: 0.1395175976435895 + generator_perf/generate/total_duration_max_s: 3.1293052706606685 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 0.16161901969462633 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 0.16161901969462633 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7870373222976923 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7870373222976923 + groups/rate_dropped: 0.07692307692307693 + main/continuous_rollouts/count_rollout_iterations: 11.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 1.002312723857661 + main_perf/continuous_rollouts/play_games/duration_max_s: 3.3777579348534346 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.2169519579038024 + 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+[TitanTrainer-0/1] 2025-11-19 07:52:13 INFO Pushing weights for policy version 3 +[ReferenceModel-0/1] 2025-11-19 07:52:14 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:52:15 INFO Completed weights push in 2.62 seconds +[Generator-0/1] 2025-11-19 07:52:15 INFO [Generator] Fetching weights for v3 to shared memory +INFO 11-19 07:52:18 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:52:18 INFO Weight update completed (now v3) +[ReferenceModel-0/1] 2025-11-19 07:52:18 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 2: Starting training +[BUFFER ADD] Added 4/4 episodes with policy_v=2 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 29] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 29] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 30] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=2 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropping weights @ version 2 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 31] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=2 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 32] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 9 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:18 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +Dropped weights @ version 2, took 0.92 seconds +WandbBackend: Logged 97 metrics at step 3 +=== [global_reduce] - METRICS STEP 3 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 12.0 + buffer/episodes_accepted: 12.0 + buffer/episodes_generated: 12.0 + buffer/evict/sum_episodes_evicted: 51.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.1951219512195122 + buffer/sample/avg_sampled_policy_age: 0.875 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0010144393891096115 + buffer_perf/sample/total_duration_max_s: 0.0010144393891096115 + episode/total_tokens: 278.6875 + episode/turns: 1.125 + game/average_turns: 1.125 + game/env_reward: -0.625 + game/games_played: 16.0 + game/invalid_action_penalty: 14.0 + game/invalid_action_rate: 0.7777777777777778 + game/missing_answer_tags: 14.0 + game/win_rate: 0.1875 + generator/generate/avg_tokens_generated: 47.888888888888886 + generator/generate/count_requests: 18.0 + generator/generate/count_sequences_completed: 18.0 + 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0.002627926878631115 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.002627926878631115 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017579060047864914 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017579060047864914 + rl_trainer_perf/step/total_duration_avg_s: 1.6993242744356394 + rl_trainer_perf/step/total_duration_max_s: 1.6993242744356394 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:52:19 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:19 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:19 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 3: Starting training +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 33] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 7 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 34] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 35] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 35] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 36] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: Ace + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:20 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:20 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 37] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 37] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 38] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 39] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 39] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 40] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:20 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:52:20 INFO Pushing weights for policy version 4 +[ReferenceModel-0/1] 2025-11-19 07:52:20 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:21 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 41] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 4 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 42] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 43] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 44] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:21 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 45] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 46] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 10 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 9 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 8/9 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 47] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 48] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:22 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 49] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 49] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 50] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 50] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 51] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 52] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:22 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:22 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:23 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:23 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 53] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 54] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 55] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 56] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:23 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:52:23 INFO Completed weights push in 2.56 seconds +[Generator-0/1] 2025-11-19 07:52:23 INFO [Generator] Fetching weights for v4 to shared memory +INFO 11-19 07:52:25 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:52:25 INFO Weight update completed (now v4) +[ReferenceModel-0/1] 2025-11-19 07:52:25 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:26 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:26 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropping weights @ version 3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 57] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=3 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 58] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 59] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 60] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:26 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:26 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:26 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 61] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 61] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 62] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 63] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropped weights @ version 3, took 0.95 seconds +WandbBackend: Logged 97 metrics at step 4 +=== [global_reduce] - METRICS STEP 4 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 104.0 + buffer/episodes_accepted: 104.0 + buffer/episodes_generated: 104.0 + buffer/evict/sum_episodes_evicted: 40.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.6153846153846154 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + buffer_perf/sample/total_duration_avg_s: 0.000921168364584446 + buffer_perf/sample/total_duration_max_s: 0.000921168364584446 + episode/total_tokens: 225.344 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.152 + game/games_played: 125.0 + game/invalid_action_penalty: 123.0 + game/invalid_action_rate: 0.984 + game/missing_answer_tags: 123.0 + game/win_rate: 0.416 + generator/generate/avg_tokens_generated: 3.192 + generator/generate/count_requests: 126.0 + generator/generate/count_sequences_completed: 125.0 + generator/generate/sum_tokens_generated: 399.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.5336667383089662 + generator_perf/_fetch_weights/total_duration_max_s: 1.5336667383089662 + generator_perf/generate/generate/duration_avg_s: 0.03484195889282227 + generator_perf/generate/generate/duration_max_s: 2.456700439453125 + generator_perf/generate/process_inputs/duration_avg_s: 0.0008184563220832497 + generator_perf/generate/process_inputs/duration_max_s: 0.0016252800226211547 + generator_perf/generate/total_duration_avg_s: 0.035765737711232135 + generator_perf/generate/total_duration_max_s: 2.4584292074739933 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5211994228884578 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5211994228884578 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.674525854177773 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.674525854177773 + groups/rate_dropped: 0.1935483870967742 + main/continuous_rollouts/count_rollout_iterations: 26.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.17646108771441504 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.5557435983791947 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.07328471544986734 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.47066747210919857 + main_perf/continuous_rollouts/total_duration_avg_s: 0.24783562892116606 + main_perf/continuous_rollouts/total_duration_max_s: 2.593886055983603 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.9521838622167706 + main_perf/continuous_training/drop_weights/duration_max_s: 0.9521838622167706 + main_perf/continuous_training/push_weights/duration_avg_s: 2.561799285002053 + main_perf/continuous_training/push_weights/duration_max_s: 2.561799285002053 + main_perf/continuous_training/total_duration_avg_s: 7.608462524600327 + main_perf/continuous_training/total_duration_max_s: 7.608462524600327 + main_perf/continuous_training/train_step/duration_avg_s: 1.619497044943273 + main_perf/continuous_training/train_step/duration_max_s: 1.619497044943273 + main_perf/continuous_training/update_weights/duration_avg_s: 2.471970682963729 + main_perf/continuous_training/update_weights/duration_max_s: 2.471970682963729 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0030097663402557373 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0030097663402557373 + reference_perf/forward/avg_sequence_length: 226.44 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00012463051825761795 + reference_perf/forward/compute_logprobs/duration_max_s: 0.0001592310145497322 + reference_perf/forward/count_forward_passes: 25.0 + reference_perf/forward/forward/duration_avg_s: 0.06544354210536067 + reference_perf/forward/forward/duration_max_s: 0.4618057878687978 + reference_perf/forward/garbage_collection/duration_avg_s: 0.00040083758246440155 + reference_perf/forward/garbage_collection/duration_max_s: 0.0005682520568370819 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.2563205132117638 + reference_perf/forward/memory_peak_max_gb: 5.386606216430664 + reference_perf/forward/to_device/duration_avg_s: 0.00011796482767050083 + reference_perf/forward/to_device/duration_max_s: 0.00016046315431594849 + reference_perf/forward/total_duration_avg_s: 0.0660886295641271 + reference_perf/forward/total_duration_max_s: 0.4623778248205781 + rl_trainer/avg_loss: 0.6804311871528625 + rl_trainer/learning_rate: 9.979979979979981e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.000491265207529068 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.000491265207529068 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0004830826073884964 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0004830826073884964 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.5601681005209684 + rl_trainer_perf/push_weights/total_duration_max_s: 2.5601681005209684 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.5591909885406494 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.5591909885406494 + rl_trainer_perf/step/forward_backward/duration_avg_s: 1.5970069644972682 + rl_trainer_perf/step/forward_backward/duration_max_s: 1.5970069644972682 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209384441375732 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0018410738557577133 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0018410738557577133 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017798462882637978 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017798462882637978 + rl_trainer_perf/step/total_duration_avg_s: 1.6166482334956527 + rl_trainer_perf/step/total_duration_max_s: 1.6166482334956527 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:52:26 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:26 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:26 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:27 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 4: Starting training +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 64] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 6, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 6, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 65] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 66] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 67] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:27 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:27 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:27 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 67] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 68] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 69] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 70] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 71] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:27 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:27 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:28 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 72] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 73] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 74] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 9 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 74] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 75] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[TitanTrainer-0/1] 2025-11-19 07:52:28 INFO Pushing weights for policy version 5 +[ReferenceModel-0/1] 2025-11-19 07:52:28 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:28 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 75] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 76] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 76] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 77] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 78] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 79] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 6, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 6, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:28 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:28 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:29 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:29 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 80] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 81] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 82] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 83] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:29 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:29 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:29 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:29 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 84] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 85] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 86] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 87] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:29 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:30 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 88] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 88] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 89] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 90] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 90] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 91] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:30 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:30 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:30 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 92] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 93] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 93] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 94] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 95] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:30 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:52:30 INFO Completed weights push in 2.59 seconds +[Generator-0/1] 2025-11-19 07:52:30 INFO [Generator] Fetching weights for v5 to shared memory +[ReferenceModel-0/1] 2025-11-19 07:52:30 INFO [GC] Performing periodic GC collection took 0.00 seconds +INFO 11-19 07:52:33 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:52:33 INFO Weight update completed (now v5) +[ReferenceModel-0/1] 2025-11-19 07:52:33 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:33 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 96] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=4 +Dropping weights @ version 4 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 97] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 98] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 99] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:34 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 99] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 100] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 101] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 101] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 102] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 102] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 103] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 103] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +Dropped weights @ version 4, took 0.88 seconds +WandbBackend: Logged 97 metrics at step 5 +=== [global_reduce] - METRICS STEP 5 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 116.0 + buffer/episodes_accepted: 116.0 + buffer/episodes_generated: 116.0 + buffer/evict/sum_episodes_evicted: 11.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.07547169811320754 + buffer/sample/avg_sampled_policy_age: 0.625 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0008463244885206223 + buffer_perf/sample/total_duration_max_s: 0.0008463244885206223 + episode/total_tokens: 225.38993710691824 + episode/turns: 1.0062893081761006 + game/average_turns: 1.0062893081761006 + game/env_reward: -0.22641509433962265 + game/games_played: 159.0 + game/invalid_action_penalty: 158.0 + game/invalid_action_rate: 0.9875 + game/missing_answer_tags: 158.0 + game/win_rate: 0.3710691823899371 + generator/generate/avg_tokens_generated: 3.15 + generator/generate/count_requests: 160.0 + generator/generate/count_sequences_completed: 160.0 + generator/generate/sum_tokens_generated: 504.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.548373470082879 + generator_perf/_fetch_weights/total_duration_max_s: 1.548373470082879 + generator_perf/generate/generate/duration_avg_s: 0.030767261248826984 + generator_perf/generate/generate/duration_max_s: 2.496214599609375 + generator_perf/generate/process_inputs/duration_avg_s: 0.0008704947952166552 + generator_perf/generate/process_inputs/duration_max_s: 0.002374527931213379 + generator_perf/generate/total_duration_avg_s: 0.031728560443909384 + generator_perf/generate/total_duration_max_s: 2.497388935610652 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.546561631374061 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.546561631374061 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7420232780277729 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7420232780277729 + groups/rate_dropped: 0.275 + main/continuous_rollouts/count_rollout_iterations: 29.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.16059877679217607 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.592716391198337 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.024534200767761673 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.0314891142770648 + main_perf/continuous_rollouts/total_duration_avg_s: 0.19074562776368112 + main_perf/continuous_rollouts/total_duration_max_s: 2.6308459993451834 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.8808676954358816 + main_perf/continuous_training/drop_weights/duration_max_s: 0.8808676954358816 + main_perf/continuous_training/push_weights/duration_avg_s: 2.5949533749371767 + main_perf/continuous_training/push_weights/duration_max_s: 2.5949533749371767 + main_perf/continuous_training/total_duration_avg_s: 7.60017439071089 + main_perf/continuous_training/total_duration_max_s: 7.60017439071089 + main_perf/continuous_training/train_step/duration_avg_s: 1.5697208177298307 + main_perf/continuous_training/train_step/duration_max_s: 1.5697208177298307 + main_perf/continuous_training/update_weights/duration_avg_s: 2.551843401044607 + main_perf/continuous_training/update_weights/duration_max_s: 2.551843401044607 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0027879299595952034 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0027879299595952034 + reference_perf/forward/avg_sequence_length: 227.0344827586207 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00014872065392033807 + reference_perf/forward/compute_logprobs/duration_max_s: 0.00017124880105257034 + reference_perf/forward/count_forward_passes: 29.0 + reference_perf/forward/forward/duration_avg_s: 0.01647606694364342 + reference_perf/forward/forward/duration_max_s: 0.021436382085084915 + reference_perf/forward/garbage_collection/duration_avg_s: 0.00047346108175557236 + reference_perf/forward/garbage_collection/duration_max_s: 0.0005350811406970024 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.2570128112003721 + reference_perf/forward/memory_peak_max_gb: 5.597161769866943 + reference_perf/forward/to_device/duration_avg_s: 0.00015229760701286382 + reference_perf/forward/to_device/duration_max_s: 0.000186222605407238 + reference_perf/forward/total_duration_avg_s: 0.017252391974987655 + reference_perf/forward/total_duration_max_s: 0.02220380585640669 + rl_trainer/avg_loss: 0.5095332264900208 + rl_trainer/learning_rate: 9.96996996996997e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0004984857514500618 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0004984857514500618 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.00047410838305950165 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.00047410838305950165 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.593125330284238 + rl_trainer_perf/push_weights/total_duration_max_s: 2.593125330284238 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.5921504236757755 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.5921504236757755 + rl_trainer_perf/step/forward_backward/duration_avg_s: 1.5461803926154971 + rl_trainer_perf/step/forward_backward/duration_max_s: 1.5461803926154971 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0017905663698911667 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0017905663698911667 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018375378102064133 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018375378102064133 + rl_trainer_perf/step/total_duration_avg_s: 1.5663479901850224 + rl_trainer_perf/step/total_duration_max_s: 1.5663479901850224 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:52:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 5: Starting training +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 104] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 8 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 104] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 105] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 106] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 107] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:35 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:35 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 108] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 109] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 110] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 111] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:35 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:35 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:35 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:35 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 112] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 113] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 114] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 115] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:35 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:52:35 INFO Pushing weights for policy version 6 +[ReferenceModel-0/1] 2025-11-19 07:52:36 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:36 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 116] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 2 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 116] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 117] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 118] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 5 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 119] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:36 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:36 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:36 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 119] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 120] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 121] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: Ace + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 122] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 123] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:37 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 123] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 124] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 125] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 126] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 127] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:37 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 127] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 128] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 129] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 130] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 131] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:38 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 132] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 133] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 8 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 134] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 3 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 135] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:52:38 INFO Completed weights push in 2.79 seconds +[Generator-0/1] 2025-11-19 07:52:38 INFO [Generator] Fetching weights for v6 to shared memory +INFO 11-19 07:52:41 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:52:41 INFO Weight update completed (now v6) +[ReferenceModel-0/1] 2025-11-19 07:52:41 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 136] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 137] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 137] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropping weights @ version 5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 138] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=5 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 139] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:41 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:41 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:41 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 140] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 141] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 142] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 142] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 143] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:42 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:42 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 144] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +Dropped weights @ version 5, took 1.06 seconds +WandbBackend: Logged 97 metrics at step 6 +=== [global_reduce] - METRICS STEP 6 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 136.0 + buffer/episodes_accepted: 136.0 + buffer/episodes_generated: 136.0 + buffer/evict/sum_episodes_evicted: 87.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.05925925925925926 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + buffer_perf/sample/total_duration_avg_s: 0.0014088870957493782 + buffer_perf/sample/total_duration_max_s: 0.0014088870957493782 + episode/total_tokens: 225.2754491017964 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.24550898203592814 + game/games_played: 167.0 + game/invalid_action_penalty: 167.0 + game/invalid_action_rate: 1.0 + game/missing_answer_tags: 167.0 + game/win_rate: 0.3413173652694611 + generator/generate/avg_tokens_generated: 3.18562874251497 + generator/generate/count_requests: 167.0 + generator/generate/count_sequences_completed: 167.0 + generator/generate/sum_tokens_generated: 532.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.596358260139823 + generator_perf/_fetch_weights/total_duration_max_s: 1.596358260139823 + generator_perf/generate/generate/duration_avg_s: 0.030998960455020735 + generator_perf/generate/generate/duration_max_s: 2.615928466796875 + generator_perf/generate/process_inputs/duration_avg_s: 0.000824996020310296 + generator_perf/generate/process_inputs/duration_max_s: 0.0020694398880004884 + generator_perf/generate/total_duration_avg_s: 0.03192431824774798 + generator_perf/generate/total_duration_max_s: 2.6171475707739593 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5716267488896847 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5716267488896847 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7669240664690733 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7669240664690733 + groups/rate_dropped: 0.17073170731707318 + main/continuous_rollouts/count_rollout_iterations: 34.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.16195907988926259 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.722122169099748 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.02379925935255254 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 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reference_perf/forward/to_device/duration_max_s: 0.0001563485711812973 + reference_perf/forward/total_duration_avg_s: 0.01640405957860982 + reference_perf/forward/total_duration_max_s: 0.016896914690732956 + rl_trainer/avg_loss: 0.42995136976242065 + rl_trainer/learning_rate: 9.95995995995996e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.000522783026099205 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.000522783026099205 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.00048682931810617447 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.00048682931810617447 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.786532448604703 + rl_trainer_perf/push_weights/total_duration_max_s: 2.786532448604703 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.785520222969353 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.785520222969353 + rl_trainer_perf/step/forward_backward/duration_avg_s: 1.5564411096274853 + rl_trainer_perf/step/forward_backward/duration_max_s: 1.5564411096274853 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.002493373118340969 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.002493373118340969 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01812148280441761 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01812148280441761 + rl_trainer_perf/step/total_duration_avg_s: 1.5770575478672981 + rl_trainer_perf/step/total_duration_max_s: 1.5770575478672981 +============================== + +[ReferenceModel-0/1] 2025-11-19 07:52:42 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:52:42 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:42 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:52:42 INFO Pushing weights for policy version 7 +[ReferenceModel-0/1] 2025-11-19 07:52:42 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 145] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[TRAINING] Step 6: Starting training +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 146] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 147] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 148] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets[ReferenceModel-0/1] 2025-11-19 07:52:42 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:43 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:43 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:43 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 149] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 150] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 151] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 152] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:43 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 153] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 153] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 154] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 154] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 155] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 155] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 156] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:43 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:44 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 157] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 158] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 4, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 4, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 159] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 160] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:45 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 161] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 162] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 7 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 163] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 164] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:45 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:52:45 INFO Completed weights push in 2.75 seconds +[Generator-0/1] 2025-11-19 07:52:45 INFO [Generator] Fetching weights for v7 to shared memory +INFO 11-19 07:52:47 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:52:47 INFO Weight update completed (now v7) +[ReferenceModel-0/1] 2025-11-19 07:52:48 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:48 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 164] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 165] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropping weights @ version 6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 166] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=6 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 167] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 168] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:48 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:48 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:48 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:48 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 169] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 170] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 171] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 172] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:48 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:49 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 173] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +Dropped weights @ version 6, took 1.03 seconds +WandbBackend: Logged 97 metrics at step 7 +=== [global_reduce] - METRICS STEP 7 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 96.0 + buffer/episodes_accepted: 96.0 + buffer/episodes_generated: 96.0 + buffer/evict/sum_episodes_evicted: 123.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.05405405405405406 + buffer/sample/avg_sampled_policy_age: 0.875 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0016560712829232216 + buffer_perf/sample/total_duration_max_s: 0.0016560712829232216 + episode/total_tokens: 225.21238938053096 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.24778761061946902 + game/games_played: 113.0 + game/invalid_action_penalty: 113.0 + game/invalid_action_rate: 1.0 + game/missing_answer_tags: 113.0 + game/win_rate: 0.35398230088495575 + generator/generate/avg_tokens_generated: 3.0707964601769913 + generator/generate/count_requests: 112.0 + generator/generate/count_sequences_completed: 113.0 + generator/generate/sum_tokens_generated: 347.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.5717863095924258 + generator_perf/_fetch_weights/total_duration_max_s: 1.5717863095924258 + generator_perf/generate/generate/duration_avg_s: 0.03733976878107121 + generator_perf/generate/generate/duration_max_s: 2.54092724609375 + generator_perf/generate/process_inputs/duration_avg_s: 0.000805990795065047 + generator_perf/generate/process_inputs/duration_max_s: 0.001675711989402771 + generator_perf/generate/total_duration_avg_s: 0.03826039575326949 + generator_perf/generate/total_duration_max_s: 2.542265742048621 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5383423110470176 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5383423110470176 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7290973486378789 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7290973486378789 + groups/rate_dropped: 0.13793103448275862 + main/continuous_rollouts/count_rollout_iterations: 24.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.19002827616142376 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.653261217288673 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.024783880760272343 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.02754328865557909 + main_perf/continuous_rollouts/total_duration_avg_s: 0.23305956161181843 + main_perf/continuous_rollouts/total_duration_max_s: 2.6940735150128603 + main_perf/continuous_training/drop_weights/duration_avg_s: 1.0273427898064256 + main_perf/continuous_training/drop_weights/duration_max_s: 1.0273427898064256 + main_perf/continuous_training/push_weights/duration_avg_s: 2.756393142975867 + main_perf/continuous_training/push_weights/duration_max_s: 2.756393142975867 + main_perf/continuous_training/total_duration_avg_s: 6.533458175137639 + main_perf/continuous_training/total_duration_max_s: 6.533458175137639 + main_perf/continuous_training/train_step/duration_avg_s: 0.16644445061683655 + main_perf/continuous_training/train_step/duration_max_s: 0.16644445061683655 + main_perf/continuous_training/update_weights/duration_avg_s: 2.5736238854005933 + main_perf/continuous_training/update_weights/duration_max_s: 2.5736238854005933 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.009651793166995049 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.009651793166995049 + reference_perf/forward/avg_sequence_length: 225.96 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.0001459890433276693 + reference_perf/forward/compute_logprobs/duration_max_s: 0.0001864032819867134 + reference_perf/forward/count_forward_passes: 25.0 + reference_perf/forward/forward/duration_avg_s: 0.016194389550946653 + reference_perf/forward/forward/duration_max_s: 0.01850851997733116 + reference_perf/forward/garbage_collection/duration_avg_s: 0.00045195377121369046 + reference_perf/forward/garbage_collection/duration_max_s: 0.0005278913304209709 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.25579456488291424 + reference_perf/forward/memory_peak_max_gb: 5.359437942504883 + reference_perf/forward/to_device/duration_avg_s: 0.00013032392598688602 + reference_perf/forward/to_device/duration_max_s: 0.00016098376363515854 + reference_perf/forward/total_duration_avg_s: 0.016924435234007735 + reference_perf/forward/total_duration_max_s: 0.019215373322367668 + rl_trainer/avg_loss: 0.2734350562095642 + rl_trainer/learning_rate: 9.949949949949951e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005182670429348946 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005182670429348946 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.000498306006193161 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.000498306006193161 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.75173282250762 + rl_trainer_perf/push_weights/total_duration_max_s: 2.75173282250762 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.7507138960063457 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.7507138960063457 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1434032041579485 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.1434032041579485 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0025182003155350685 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0025182003155350685 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017602095380425453 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017602095380425453 + rl_trainer_perf/step/total_duration_avg_s: 0.16352541279047728 + rl_trainer_perf/step/total_duration_max_s: 0.16352541279047728 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:52:49 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:52:49 INFO Pushing weights for policy version 8 +[ReferenceModel-0/1] 2025-11-19 07:52:49 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:49 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 7: Starting training +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 174] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 174] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 175] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 9 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 176] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 7/8 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 177] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text ---[ReferenceModel-0/1] 2025-11-19 07:52:49 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:49 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:49 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:50 INFO [GC] Performing periodic GC collection took 0.00 seconds + +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 178] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 179] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 180] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 181] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:50 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 182] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 183] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 184] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 185] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:51 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 186] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 187] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 3 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 187] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 188] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 189] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:51 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:51 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 190] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 191] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 191] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 192] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 192] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 193] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 10 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:51 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:52:51 INFO Completed weights push in 2.62 seconds +[Generator-0/1] 2025-11-19 07:52:51 INFO [Generator] Fetching weights for v8 to shared memory +INFO 11-19 07:52:54 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:52:54 INFO Weight update completed (now v8) +[ReferenceModel-0/1] 2025-11-19 07:52:54 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:54 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:54 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 8/9 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropping weights @ version 7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 194] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=7 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 195] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 196] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 197] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:54 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:54 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:55 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 198] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 199] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropped weights @ version 7, took 0.89 seconds +WandbBackend: Logged 97 metrics at step 8 +=== [global_reduce] - METRICS STEP 8 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 92.0 + buffer/episodes_accepted: 92.0 + buffer/episodes_generated: 92.0 + buffer/evict/sum_episodes_evicted: 126.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.06779661016949153 + buffer/sample/avg_sampled_policy_age: 0.875 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.001775544136762619 + buffer_perf/sample/total_duration_max_s: 0.001775544136762619 + episode/total_tokens: 225.78504672897196 + episode/turns: 1.0093457943925233 + game/average_turns: 1.0093457943925233 + game/env_reward: -0.205607476635514 + game/games_played: 107.0 + game/invalid_action_penalty: 102.0 + game/invalid_action_rate: 0.9444444444444444 + game/missing_answer_tags: 102.0 + game/win_rate: 0.3644859813084112 + generator/generate/avg_tokens_generated: 3.5 + generator/generate/count_requests: 109.0 + generator/generate/count_sequences_completed: 108.0 + generator/generate/sum_tokens_generated: 378.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.545696227811277 + generator_perf/_fetch_weights/total_duration_max_s: 1.545696227811277 + generator_perf/generate/generate/duration_avg_s: 0.039613927382010014 + generator_perf/generate/generate/duration_max_s: 2.508435546875 + generator_perf/generate/process_inputs/duration_avg_s: 0.0007626717068509336 + generator_perf/generate/process_inputs/duration_max_s: 0.0019046720266342164 + generator_perf/generate/total_duration_avg_s: 0.04047533271853224 + generator_perf/generate/total_duration_max_s: 2.5099881549030543 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5375811262056231 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5375811262056231 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7114098025485873 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7114098025485873 + groups/rate_dropped: 0.15384615384615385 + main/continuous_rollouts/count_rollout_iterations: 23.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.1961972313001752 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.6039293138310313 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.0243385571014622 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.025929237715899944 + main_perf/continuous_rollouts/total_duration_avg_s: 0.22952323306903796 + main_perf/continuous_rollouts/total_duration_max_s: 2.6438150256872177 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.8873623181134462 + main_perf/continuous_training/drop_weights/duration_max_s: 0.8873623181134462 + main_perf/continuous_training/push_weights/duration_avg_s: 2.616927714087069 + main_perf/continuous_training/push_weights/duration_max_s: 2.616927714087069 + main_perf/continuous_training/total_duration_avg_s: 6.193026800639927 + main_perf/continuous_training/total_duration_max_s: 6.193026800639927 + main_perf/continuous_training/train_step/duration_avg_s: 0.1683096494525671 + main_perf/continuous_training/train_step/duration_max_s: 0.1683096494525671 + main_perf/continuous_training/update_weights/duration_avg_s: 2.5162133257836103 + main_perf/continuous_training/update_weights/duration_max_s: 2.5162133257836103 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.004211800172924995 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.004211800172924995 + reference_perf/forward/avg_sequence_length: 228.3181818181818 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00014522003576807353 + reference_perf/forward/compute_logprobs/duration_max_s: 0.00017424486577510834 + reference_perf/forward/count_forward_passes: 22.0 + reference_perf/forward/forward/duration_avg_s: 0.01568264222663382 + reference_perf/forward/forward/duration_max_s: 0.015907383523881435 + reference_perf/forward/garbage_collection/duration_avg_s: 0.00045054628635230273 + reference_perf/forward/garbage_collection/duration_max_s: 0.0005094427615404129 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.25835188575412915 + reference_perf/forward/memory_peak_max_gb: 5.597161769866943 + reference_perf/forward/to_device/duration_avg_s: 0.0001339484006166458 + reference_perf/forward/to_device/duration_max_s: 0.00017028767615556717 + reference_perf/forward/total_duration_avg_s: 0.016414149745326977 + reference_perf/forward/total_duration_max_s: 0.01664917916059494 + rl_trainer/avg_loss: 1.1478474140167236 + rl_trainer/learning_rate: 9.93993993993994e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005104131996631622 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005104131996631622 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0004907650873064995 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0004907650873064995 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.6152250096201897 + rl_trainer_perf/push_weights/total_duration_max_s: 2.6152250096201897 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.614221267402172 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.614221267402172 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14465994108468294 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.14465994108468294 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.002505340613424778 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.002505340613424778 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01804631855338812 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01804631855338812 + rl_trainer_perf/step/total_duration_avg_s: 0.16521335300058126 + rl_trainer_perf/step/total_duration_max_s: 0.16521335300058126 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:52:55 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:55 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:55 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:52:55 INFO Pushing weights for policy version 9 +[ReferenceModel-0/1] 2025-11-19 07:52:55 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 8: Starting training +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 200] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 10 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 6 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 8/9 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 201] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 202] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 203] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100[ReferenceModel-0/1] 2025-11-19 07:52:55 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:55 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:55 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:56 INFO [GC] Performing periodic GC collection took 0.00 seconds + +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 204] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 205] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 206] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 207] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:56 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 208] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 209] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 210] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 211] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:57 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 212] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 3 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 212] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 213] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 214] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 215] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:57 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 215] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 216] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 217] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 217] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 218] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 218] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 219] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:57 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:57 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:57 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:52:58 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 220] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 221] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 7 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 222] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 223] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:52:58 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:52:58 INFO Completed weights push in 2.81 seconds +[Generator-0/1] 2025-11-19 07:52:58 INFO [Generator] Fetching weights for v9 to shared memory +INFO 11-19 07:53:00 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:53:00 INFO Weight update completed (now v9) +[ReferenceModel-0/1] 2025-11-19 07:53:00 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:01 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=8 +Dropping weights @ version 8 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 224] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 224] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 225] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 226] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 227] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:01 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:01 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:01 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 228] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 229] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +Dropped weights @ version 8, took 0.91 seconds +WandbBackend: Logged 95 metrics at step 9 +=== [global_reduce] - METRICS STEP 9 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 100.0 + buffer/episodes_accepted: 100.0 + buffer/episodes_generated: 100.0 + buffer/evict/sum_episodes_evicted: 92.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.06779661016949153 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + buffer_perf/sample/total_duration_avg_s: 0.0014299498870968819 + buffer_perf/sample/total_duration_max_s: 0.0014299498870968819 + episode/total_tokens: 225.25 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.19166666666666668 + game/games_played: 120.0 + game/invalid_action_penalty: 119.0 + game/invalid_action_rate: 0.9916666666666667 + game/missing_answer_tags: 119.0 + game/win_rate: 0.375 + generator/generate/avg_tokens_generated: 3.2083333333333335 + generator/generate/count_requests: 120.0 + generator/generate/count_sequences_completed: 120.0 + generator/generate/sum_tokens_generated: 385.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.4958831649273634 + generator_perf/_fetch_weights/total_duration_max_s: 1.4958831649273634 + generator_perf/generate/generate/duration_avg_s: 0.03582973135312398 + generator_perf/generate/generate/duration_max_s: 2.447203125 + generator_perf/generate/process_inputs/duration_avg_s: 0.000796762134134769 + generator_perf/generate/process_inputs/duration_max_s: 0.00134553599357605 + generator_perf/generate/total_duration_avg_s: 0.03672841562014269 + generator_perf/generate/total_duration_max_s: 2.448673684999347 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.4959815740585327 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.4959815740585327 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7129223672673106 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7129223672673106 + groups/rate_dropped: 0.16666666666666666 + main/continuous_rollouts/count_rollout_iterations: 25.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.18140811442087093 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.5553714632987976 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.023518310599029063 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.024830500595271587 + main_perf/continuous_rollouts/total_duration_avg_s: 0.21363055212423204 + main_perf/continuous_rollouts/total_duration_max_s: 2.5575638096779585 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.9076444897800684 + main_perf/continuous_training/drop_weights/duration_max_s: 0.9076444897800684 + main_perf/continuous_training/push_weights/duration_avg_s: 2.811466107144952 + main_perf/continuous_training/push_weights/duration_max_s: 2.811466107144952 + main_perf/continuous_training/total_duration_avg_s: 6.401083101518452 + main_perf/continuous_training/total_duration_max_s: 6.401083101518452 + main_perf/continuous_training/train_step/duration_avg_s: 0.19340350106358528 + main_perf/continuous_training/train_step/duration_max_s: 0.19340350106358528 + main_perf/continuous_training/update_weights/duration_avg_s: 2.4846805250272155 + main_perf/continuous_training/update_weights/duration_max_s: 2.4846805250272155 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.003886345773935318 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.003886345773935318 + reference_perf/forward/avg_sequence_length: 226.36 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.0001454920694231987 + reference_perf/forward/compute_logprobs/duration_max_s: 0.00017536710947752 + reference_perf/forward/count_forward_passes: 25.0 + reference_perf/forward/forward/duration_avg_s: 0.015736089050769807 + reference_perf/forward/forward/duration_max_s: 0.01619916595518589 + reference_perf/forward/garbage_collection/duration_avg_s: 0.0004481741413474083 + reference_perf/forward/garbage_collection/duration_max_s: 0.00047978851944208145 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.2562492561340332 + reference_perf/forward/memory_peak_max_gb: 5.386606216430664 + reference_perf/forward/to_device/duration_avg_s: 0.00014649491757154465 + reference_perf/forward/to_device/duration_max_s: 0.0001646699383854866 + reference_perf/forward/total_duration_avg_s: 0.016477963887155056 + reference_perf/forward/total_duration_max_s: 0.01693354081362486 + rl_trainer/avg_loss: 0.49739712476730347 + rl_trainer/learning_rate: 9.929929929929931e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005113556981086731 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005113556981086731 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0004889704287052155 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0004889704287052155 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.809537209570408 + rl_trainer_perf/push_weights/total_duration_max_s: 2.809537209570408 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.808534820564091 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.808534820564091 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1647317223250866 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.1647317223250866 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0022467775270342827 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0022467775270342827 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01756342686712742 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01756342686712742 + rl_trainer_perf/step/total_duration_avg_s: 0.18454338889569044 + rl_trainer_perf/step/total_duration_max_s: 0.18454338889569044 +============================== + +[ReferenceModel-0/1] 2025-11-19 07:53:01 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:01 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:01 INFO Pushing weights for policy version 10 +[ReferenceModel-0/1] 2025-11-19 07:53:01 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:02 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 230] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[TRAINING] Step 9: Starting training +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 231] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 231] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 232] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 233] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags![ReferenceModel-0/1] 2025-11-19 07:53:02 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:02 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:02 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 234] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 235] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 236] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 237] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ +[ReferenceModel-0/1] 2025-11-19 07:53:02 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:02 INFO [GC] Performing periodic GC collection took 0.00 seconds + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 238] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 238] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 239] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 240] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 240] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 241] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:03 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:03 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:03 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:03 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 242] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 243] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 244] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 245] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:03 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:03 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:03 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:04 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 246] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 247] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 248] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 249] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:04 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:04 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:04 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:04 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:04 INFO Completed weights push in 2.90 seconds +[Generator-0/1] 2025-11-19 07:53:04 INFO [Generator] Fetching weights for v10 to shared memory +INFO 11-19 07:53:07 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:53:07 INFO Weight update completed (now v10) + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 250] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 251] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 252] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropping weights @ version 9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 253] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 7 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:07 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:07 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:07 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:07 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=9 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 254] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 255] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 256] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 257] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:08 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:08 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 258] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 258] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 259] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 6, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 6, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropped weights @ version 9, took 1.03 seconds +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +WandbBackend: Logged 97 metrics at step 10 + +================================================================================ +[ROLLOUT 260] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +=== [global_reduce] - METRICS STEP 10 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 104.0 + buffer/episodes_accepted: 104.0 + buffer/episodes_generated: 104.0 + buffer/evict/sum_episodes_evicted: 96.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.06557377049180328 + buffer/sample/avg_sampled_policy_age: 0.875 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.001598604954779148 + buffer_perf/sample/total_duration_max_s: 0.001598604954779148 + episode/total_tokens: 225.64166666666668 + episode/turns: 1.0083333333333333 + game/average_turns: 1.0083333333333333 + game/env_reward: -0.25 + game/games_played: 120.0 + game/invalid_action_penalty: 116.0 + game/invalid_action_rate: 0.9586776859504132 + game/missing_answer_tags: 116.0 + game/win_rate: 0.35833333333333334 + generator/generate/avg_tokens_generated: 3.3442622950819674 + generator/generate/count_requests: 121.0 + generator/generate/count_sequences_completed: 122.0 + generator/generate/sum_tokens_generated: 408.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.6320789027959108 + generator_perf/_fetch_weights/total_duration_max_s: 1.6320789027959108 + generator_perf/generate/generate/duration_avg_s: 0.038127701165246164 + generator_perf/generate/generate/duration_max_s: 2.711935791015625 + generator_perf/generate/process_inputs/duration_avg_s: 0.0008174596715291016 + generator_perf/generate/process_inputs/duration_max_s: 0.0015506240129470824 + generator_perf/generate/total_duration_avg_s: 0.03904764083672323 + generator_perf/generate/total_duration_max_s: 2.713202542960644 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.616605307906866 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.616605307906866 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.8362105339765549 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.8362105339765549 + groups/rate_dropped: 0.13333333333333333 + main/continuous_rollouts/count_rollout_iterations: 26.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.19525995676716168 + 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rl_trainer_perf/push_weights/total_duration_avg_s: 2.9025243762880564 + rl_trainer_perf/push_weights/total_duration_max_s: 2.9025243762880564 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.901504196226597 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.901504196226597 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14426214713603258 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.14426214713603258 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0024637067690491676 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0024637067690491676 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017849319614470005 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017849319614470005 + rl_trainer_perf/step/total_duration_avg_s: 0.16457676701247692 + rl_trainer_perf/step/total_duration_max_s: 0.16457676701247692 +============================== + +[ReferenceModel-0/1] 2025-11-19 07:53:08 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:08 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:08 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:08 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:08 INFO [GC] Performing periodic GC collection took 0.00 seconds +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[TRAINING] Step 10: Starting training +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 261] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 10 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 8/9 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 262] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 263] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 8 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags![ReferenceModel-0/1] 2025-11-19 07:53:09 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:09 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:09 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:09 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 264] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 265] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 266] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 267] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags![ReferenceModel-0/1] 2025-11-19 07:53:09 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 268] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 269] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 269] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 270] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 270] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 271] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ +[ReferenceModel-0/1] 2025-11-19 07:53:09 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:10 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:10 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:10 INFO Pushing weights for policy version 11 +[ReferenceModel-0/1] 2025-11-19 07:53:10 INFO [GC] Performing periodic GC collection took 0.00 seconds + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 272] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 273] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 274] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 275] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:10 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:10 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:10 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 276] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 277] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 278] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 278] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 279] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:10 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:11 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:11 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:11 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 280] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 281] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 282] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 283] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:11 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:11 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 284] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 284] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 285] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: Ace + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 286] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 286] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 287] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:12 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:12 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:12 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 287] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 288] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 289] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 290] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 291] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 9 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:12 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:12 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:12 INFO Completed weights push in 2.39 seconds +[Generator-0/1] 2025-11-19 07:53:12 INFO [Generator] Fetching weights for v11 to shared memory +INFO 11-19 07:53:15 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:53:15 INFO Weight update completed (now v11) +[ReferenceModel-0/1] 2025-11-19 07:53:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:15 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 292] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropping weights @ version 10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 293] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=10 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 294] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 264, Trainable tokens: 19 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 20, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100 +✓ 16/17 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 295] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:16 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 296] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 297] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 298] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 299] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:16 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +Dropped weights @ version 10, took 1.00 seconds +WandbBackend: Logged 97 metrics at step 11 +=== [global_reduce] - METRICS STEP 11 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 136.0 + buffer/episodes_accepted: 136.0 + buffer/episodes_generated: 136.0 + buffer/evict/sum_episodes_evicted: 103.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.06504065040650407 + buffer/sample/avg_sampled_policy_age: 0.75 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0016027912497520447 + buffer_perf/sample/total_duration_max_s: 0.0016027912497520447 + episode/total_tokens: 225.61783439490446 + episode/turns: 1.0063694267515924 + game/average_turns: 1.0063694267515924 + game/env_reward: -0.18471337579617833 + game/games_played: 157.0 + game/invalid_action_penalty: 154.0 + game/invalid_action_rate: 0.9746835443037974 + game/missing_answer_tags: 154.0 + game/win_rate: 0.37579617834394907 + generator/generate/avg_tokens_generated: 3.2929936305732483 + generator/generate/count_requests: 158.0 + generator/generate/count_sequences_completed: 157.0 + generator/generate/sum_tokens_generated: 517.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.5365145690739155 + generator_perf/_fetch_weights/total_duration_max_s: 1.5365145690739155 + generator_perf/generate/generate/duration_avg_s: 0.03170215900688414 + generator_perf/generate/generate/duration_max_s: 2.539927734375 + generator_perf/generate/process_inputs/duration_avg_s: 0.0008663677986990065 + generator_perf/generate/process_inputs/duration_max_s: 0.0016961920261383057 + generator_perf/generate/total_duration_avg_s: 0.032662304334327666 + generator_perf/generate/total_duration_max_s: 2.5411270624250175 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5309115378186107 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5309115378186107 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.735669338144362 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.735669338144362 + groups/rate_dropped: 0.15 + main/continuous_rollouts/count_rollout_iterations: 34.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.16352960073854775 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.629261264577508 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.0227731532033752 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.02478948887437582 + main_perf/continuous_rollouts/total_duration_avg_s: 0.19508033455349505 + main_perf/continuous_rollouts/total_duration_max_s: 2.668202784843743 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.9974711611866951 + main_perf/continuous_training/drop_weights/duration_max_s: 0.9974711611866951 + main_perf/continuous_training/push_weights/duration_avg_s: 2.391718737781048 + main_perf/continuous_training/push_weights/duration_max_s: 2.391718737781048 + main_perf/continuous_training/total_duration_avg_s: 7.699292557314038 + main_perf/continuous_training/total_duration_max_s: 7.699292557314038 + main_perf/continuous_training/train_step/duration_avg_s: 1.767960336059332 + main_perf/continuous_training/train_step/duration_max_s: 1.767960336059332 + main_perf/continuous_training/update_weights/duration_avg_s: 2.5384505316615105 + main_perf/continuous_training/update_weights/duration_max_s: 2.5384505316615105 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0036904290318489075 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0036904290318489075 + reference_perf/forward/avg_sequence_length: 227.5 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00010818462161456838 + reference_perf/forward/compute_logprobs/duration_max_s: 0.00011912081390619278 + reference_perf/forward/count_forward_passes: 34.0 + reference_perf/forward/forward/duration_avg_s: 0.014750594492344296 + reference_perf/forward/forward/duration_max_s: 0.015172318555414677 + reference_perf/forward/garbage_collection/duration_avg_s: 0.000357143471346182 + reference_perf/forward/garbage_collection/duration_max_s: 0.00041738245636224747 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.2575397771947524 + reference_perf/forward/memory_peak_max_gb: 5.610745906829834 + reference_perf/forward/to_device/duration_avg_s: 0.00010979969930999419 + reference_perf/forward/to_device/duration_max_s: 0.00012672320008277893 + reference_perf/forward/total_duration_avg_s: 0.015327359659268576 + reference_perf/forward/total_duration_max_s: 0.0158219737932086 + rl_trainer/avg_loss: 0.2824368476867676 + rl_trainer/learning_rate: 9.90990990990991e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005311965942382812 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005311965942382812 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0004889219999313354 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0004889219999313354 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.3899440364912152 + rl_trainer_perf/push_weights/total_duration_max_s: 2.3899440364912152 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.3889218447729945 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.3889218447729945 + rl_trainer_perf/step/forward_backward/duration_avg_s: 1.7445179102942348 + rl_trainer_perf/step/forward_backward/duration_max_s: 1.7445179102942348 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 4.2438507080078125e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.210396766662598 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0023755934089422226 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0023755934089422226 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017967980355024338 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017967980355024338 + rl_trainer_perf/step/total_duration_avg_s: 1.764863076619804 + rl_trainer_perf/step/total_duration_max_s: 1.764863076619804 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:53:16 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:16 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:16 INFO Pushing weights for policy version 12 +[ReferenceModel-0/1] 2025-11-19 07:53:16 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:16 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 11: Starting training +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 300] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 301] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 302] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 303] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ +[ReferenceModel-0/1] 2025-11-19 07:53:16 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:17 INFO [GC] Performing periodic GC collection took 0.00 seconds + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 303] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 304] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 304] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 305] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 306] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 307] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:17 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:17 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:17 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 308] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 309] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 310] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 310] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 311] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:17 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:17 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:18 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 312] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 312] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 313] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 314] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 7 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 315] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:18 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:18 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:18 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 316] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 317] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 317] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 318] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 7 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 319] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[TitanTrainer-0/1] 2025-11-19 07:53:18 INFO Completed weights push in 2.47 seconds +[Generator-0/1] 2025-11-19 07:53:18 INFO [Generator] Fetching weights for v12 to shared memory +INFO 11-19 07:53:21 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:53:21 INFO Weight update completed (now v12) +[ReferenceModel-0/1] 2025-11-19 07:53:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:21 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 319] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropping weights @ version 11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 320] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=11 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 321] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 322] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 323] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:22 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:22 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 324] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 6, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 6, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 324] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 325] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 326] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 327] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:22 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 327] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 328] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +Dropped weights @ version 11, took 1.10 seconds +WandbBackend: Logged 97 metrics at step 12 +=== [global_reduce] - METRICS STEP 12 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 80.0 + buffer/episodes_accepted: 80.0 + buffer/episodes_generated: 80.0 + buffer/evict/sum_episodes_evicted: 104.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.05161290322580645 + buffer/sample/avg_sampled_policy_age: 0.75 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0014828993007540703 + buffer_perf/sample/total_duration_max_s: 0.0014828993007540703 + episode/total_tokens: 225.66379310344828 + episode/turns: 1.0086206896551724 + game/average_turns: 1.0086206896551724 + game/env_reward: -0.2413793103448276 + game/games_played: 116.0 + game/invalid_action_penalty: 115.0 + game/invalid_action_rate: 0.9829059829059829 + game/missing_answer_tags: 115.0 + game/win_rate: 0.35344827586206895 + generator/generate/avg_tokens_generated: 3.247863247863248 + generator/generate/count_requests: 116.0 + generator/generate/count_sequences_completed: 117.0 + generator/generate/sum_tokens_generated: 380.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.5821384768933058 + generator_perf/_fetch_weights/total_duration_max_s: 1.5821384768933058 + generator_perf/generate/generate/duration_avg_s: 0.03861120194655198 + generator_perf/generate/generate/duration_max_s: 2.666344482421875 + generator_perf/generate/process_inputs/duration_avg_s: 0.0008447633514789722 + generator_perf/generate/process_inputs/duration_max_s: 0.0011910719871520996 + generator_perf/generate/total_duration_avg_s: 0.03956875517829242 + generator_perf/generate/total_duration_max_s: 2.6674062424302103 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5679172901436687 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5679172901436687 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7925990084186196 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7925990084186196 + groups/rate_dropped: 0.27586206896551724 + main/continuous_rollouts/count_rollout_iterations: 20.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.19834406663929777 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.831002746708691 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.02357629225589335 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.027568455785512924 + main_perf/continuous_rollouts/total_duration_avg_s: 0.22621093238038675 + main_perf/continuous_rollouts/total_duration_max_s: 2.8709904942661524 + main_perf/continuous_training/drop_weights/duration_avg_s: 1.097188476473093 + main_perf/continuous_training/drop_weights/duration_max_s: 1.097188476473093 + main_perf/continuous_training/push_weights/duration_avg_s: 2.472291939891875 + main_perf/continuous_training/push_weights/duration_max_s: 2.472291939891875 + main_perf/continuous_training/total_duration_avg_s: 6.4183087376877666 + main_perf/continuous_training/total_duration_max_s: 6.4183087376877666 + main_perf/continuous_training/train_step/duration_avg_s: 0.171973398886621 + main_perf/continuous_training/train_step/duration_max_s: 0.171973398886621 + main_perf/continuous_training/update_weights/duration_avg_s: 2.673453480936587 + main_perf/continuous_training/update_weights/duration_max_s: 2.673453480936587 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0033993683755397797 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0033993683755397797 + reference_perf/forward/avg_sequence_length: 227.85714285714286 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00011234465055167674 + reference_perf/forward/compute_logprobs/duration_max_s: 0.0001304876059293747 + reference_perf/forward/count_forward_passes: 21.0 + reference_perf/forward/forward/duration_avg_s: 0.015406877081841231 + reference_perf/forward/forward/duration_max_s: 0.01687092613428831 + reference_perf/forward/garbage_collection/duration_avg_s: 0.0003657527267932892 + reference_perf/forward/garbage_collection/duration_max_s: 0.0004072170704603195 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.25804920196533204 + reference_perf/forward/memory_peak_max_gb: 5.603953838348389 + reference_perf/forward/to_device/duration_avg_s: 0.0001074871513992548 + reference_perf/forward/to_device/duration_max_s: 0.00012354832142591476 + reference_perf/forward/total_duration_avg_s: 0.01599418492987752 + reference_perf/forward/total_duration_max_s: 0.01749495230615139 + rl_trainer/avg_loss: -0.31367698311805725 + rl_trainer/learning_rate: 9.899899899899901e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005380669608712196 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005380669608712196 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005010301247239113 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005010301247239113 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.4705874640494585 + rl_trainer_perf/push_weights/total_duration_max_s: 2.4705874640494585 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.4695449713617563 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.4695449713617563 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14296968560665846 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.14296968560665846 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0024758558720350266 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0024758558720350266 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01828050520271063 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01828050520271063 + rl_trainer_perf/step/total_duration_avg_s: 0.1637282995507121 + rl_trainer_perf/step/total_duration_max_s: 0.1637282995507121 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:53:22 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:22 INFO Pushing weights for policy version 13 +[ReferenceModel-0/1] 2025-11-19 07:53:22 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 12: Starting training +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 329] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 329] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 330] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 331] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 331] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 332] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 6 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ +[ReferenceModel-0/1] 2025-11-19 07:53:23 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:23 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:23 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:23 INFO [GC] Performing periodic GC collection took 0.00 seconds + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 333] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 334] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 5, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 5, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 335] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 336] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:23 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:23 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:24 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 337] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 338] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 338] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 339] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 340] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:24 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:24 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:24 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:25 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 341] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 342] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 343] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 344] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:25 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:25 INFO Completed weights push in 2.47 seconds +[Generator-0/1] 2025-11-19 07:53:25 INFO [Generator] Fetching weights for v13 to shared memory +INFO 11-19 07:53:28 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:53:28 INFO Weight update completed (now v13) +[ReferenceModel-0/1] 2025-11-19 07:53:28 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 345] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 345] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 +Dropping weights @ version 12 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 346] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 347] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 347] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 348] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 7 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:28 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:28 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:28 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 349] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 350] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropped weights @ version 12, took 0.72 seconds +WandbBackend: Logged 97 metrics at step 13 +=== [global_reduce] - METRICS STEP 13 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 72.0 + buffer/episodes_accepted: 72.0 + buffer/episodes_generated: 72.0 + buffer/evict/sum_episodes_evicted: 131.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.07692307692307693 + buffer/sample/avg_sampled_policy_age: 0.5 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0020089279860258102 + buffer_perf/sample/total_duration_max_s: 0.0020089279860258102 + episode/total_tokens: 225.7078651685393 + episode/turns: 1.0112359550561798 + game/average_turns: 1.0112359550561798 + game/env_reward: -0.15730337078651685 + game/games_played: 89.0 + game/invalid_action_penalty: 87.0 + game/invalid_action_rate: 0.9666666666666667 + game/missing_answer_tags: 87.0 + game/win_rate: 0.4044943820224719 + generator/generate/avg_tokens_generated: 3.311111111111111 + generator/generate/count_requests: 91.0 + generator/generate/count_sequences_completed: 90.0 + generator/generate/sum_tokens_generated: 298.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.6058514630421996 + generator_perf/_fetch_weights/total_duration_max_s: 1.6058514630421996 + generator_perf/generate/generate/duration_avg_s: 0.046244633950127484 + generator_perf/generate/generate/duration_max_s: 2.742998046875 + generator_perf/generate/process_inputs/duration_avg_s: 0.000914264886909061 + generator_perf/generate/process_inputs/duration_max_s: 0.001395967960357666 + generator_perf/generate/total_duration_avg_s: 0.04725761741425118 + generator_perf/generate/total_duration_max_s: 2.7445367988348006 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.6016634292900562 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.6016634292900562 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.804621989838779 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.804621989838779 + groups/rate_dropped: 0.22727272727272727 + main/continuous_rollouts/count_rollout_iterations: 18.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.22113219300365966 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.8366301339119673 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04689368910880552 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.4584850100800395 + main_perf/continuous_rollouts/total_duration_avg_s: 0.2690793898604486 + main_perf/continuous_rollouts/total_duration_max_s: 2.872882534749806 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.7169177392497659 + main_perf/continuous_training/drop_weights/duration_max_s: 0.7169177392497659 + main_perf/continuous_training/push_weights/duration_avg_s: 2.4705320401117206 + main_perf/continuous_training/push_weights/duration_max_s: 2.4705320401117206 + main_perf/continuous_training/total_duration_avg_s: 6.110407005064189 + main_perf/continuous_training/total_duration_max_s: 6.110407005064189 + main_perf/continuous_training/train_step/duration_avg_s: 0.17598295211791992 + main_perf/continuous_training/train_step/duration_max_s: 0.17598295211791992 + main_perf/continuous_training/update_weights/duration_avg_s: 2.7421891037374735 + main_perf/continuous_training/update_weights/duration_max_s: 2.7421891037374735 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.004784167744219303 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.004784167744219303 + reference_perf/forward/avg_sequence_length: 228.41176470588235 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00010661961924698617 + reference_perf/forward/compute_logprobs/duration_max_s: 0.00011796969920396805 + reference_perf/forward/count_forward_passes: 17.0 + reference_perf/forward/forward/duration_avg_s: 0.039422974456101656 + reference_perf/forward/forward/duration_max_s: 0.4510700302198529 + reference_perf/forward/garbage_collection/duration_avg_s: 0.0003519405921300252 + reference_perf/forward/garbage_collection/duration_max_s: 0.000402180477976799 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.2584202554490831 + reference_perf/forward/memory_peak_max_gb: 5.590369701385498 + reference_perf/forward/to_device/duration_avg_s: 0.00010741740051243041 + reference_perf/forward/to_device/duration_max_s: 0.00012742262333631516 + reference_perf/forward/total_duration_avg_s: 0.039990635174844 + reference_perf/forward/total_duration_max_s: 0.451705614104867 + rl_trainer/avg_loss: 0.35600990056991577 + rl_trainer/learning_rate: 9.88988988988989e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006005009636282921 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006005009636282921 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.000552598387002945 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.000552598387002945 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.4687445778399706 + rl_trainer_perf/push_weights/total_duration_max_s: 2.4687445778399706 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.4675887944176793 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.4675887944176793 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1505023641511798 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.1505023641511798 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0033124657347798347 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0033124657347798347 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018159099854528904 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018159099854528904 + rl_trainer_perf/step/total_duration_avg_s: 0.17197625245898962 + rl_trainer_perf/step/total_duration_max_s: 0.17197625245898962 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:53:28 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:28 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:28 INFO Pushing weights for policy version 14 +[TRAINING] Step 13: Starting training +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 351] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 351] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 352] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 353] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 3 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 353] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 354] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ +[ReferenceModel-0/1] 2025-11-19 07:53:29 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:29 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:29 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:29 INFO [GC] Performing periodic GC collection took 0.00 seconds + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 355] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 356] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 6, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 6, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 357] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 358] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:29 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:29 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:29 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:30 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 359] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 4 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 360] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 361] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 362] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:30 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:30 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:30 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 363] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 363] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 364] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 365] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 9 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 366] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:30 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:30 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:30 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:31 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 367] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 368] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 369] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 370] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:31 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:31 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:31 INFO Completed weights push in 2.45 seconds +[Generator-0/1] 2025-11-19 07:53:31 INFO [Generator] Fetching weights for v14 to shared memory +INFO 11-19 07:53:33 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:53:33 INFO Weight update completed (now v14) +[ReferenceModel-0/1] 2025-11-19 07:53:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:34 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 371] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=13 +Dropping weights @ version 13 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 372] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 373] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 374] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:34 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 374] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 375] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 376] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 376] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 377] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 378] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:34 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropped weights @ version 13, took 0.93 seconds +WandbBackend: Logged 95 metrics at step 14 +=== [global_reduce] - METRICS STEP 14 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 92.0 + buffer/episodes_accepted: 92.0 + buffer/episodes_generated: 92.0 + buffer/evict/sum_episodes_evicted: 87.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.0898876404494382 + buffer/sample/avg_sampled_policy_age: 0.75 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0014130640774965286 + buffer_perf/sample/total_duration_max_s: 0.0014130640774965286 + episode/total_tokens: 225.4375 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.25892857142857145 + game/games_played: 112.0 + game/invalid_action_penalty: 110.0 + game/invalid_action_rate: 0.9821428571428571 + game/missing_answer_tags: 110.0 + game/win_rate: 0.3392857142857143 + generator/generate/avg_tokens_generated: 3.25 + generator/generate/count_requests: 112.0 + generator/generate/count_sequences_completed: 112.0 + generator/generate/sum_tokens_generated: 364.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.5068659875541925 + generator_perf/_fetch_weights/total_duration_max_s: 1.5068659875541925 + generator_perf/generate/generate/duration_avg_s: 0.0374863973089627 + generator_perf/generate/generate/duration_max_s: 2.480422607421875 + generator_perf/generate/process_inputs/duration_avg_s: 0.0008626494272612037 + generator_perf/generate/process_inputs/duration_max_s: 0.001778656005859375 + generator_perf/generate/total_duration_avg_s: 0.03844866902161865 + generator_perf/generate/total_duration_max_s: 2.4819965914636852 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5070276027545333 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5070276027545333 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7386469207704067 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7386469207704067 + groups/rate_dropped: 0.17857142857142858 + main/continuous_rollouts/count_rollout_iterations: 23.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.18651967572181352 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.569325759075582 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.02223903450952924 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.024101856164634228 + main_perf/continuous_rollouts/total_duration_avg_s: 0.21698957698286644 + main_perf/continuous_rollouts/total_duration_max_s: 2.6101689841598272 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.9267432102933526 + main_perf/continuous_training/drop_weights/duration_max_s: 0.9267432102933526 + main_perf/continuous_training/push_weights/duration_avg_s: 2.451880537904799 + main_perf/continuous_training/push_weights/duration_max_s: 2.451880537904799 + main_perf/continuous_training/total_duration_avg_s: 6.073295596987009 + main_perf/continuous_training/total_duration_max_s: 6.073295596987009 + main_perf/continuous_training/train_step/duration_avg_s: 0.17897714488208294 + main_perf/continuous_training/train_step/duration_max_s: 0.17897714488208294 + main_perf/continuous_training/update_weights/duration_avg_s: 2.512547207996249 + main_perf/continuous_training/update_weights/duration_max_s: 2.512547207996249 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0031451722607016563 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0031451722607016563 + reference_perf/forward/avg_sequence_length: 226.43478260869566 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00010614979850209278 + reference_perf/forward/compute_logprobs/duration_max_s: 0.00012560002505779266 + reference_perf/forward/count_forward_passes: 23.0 + reference_perf/forward/forward/duration_avg_s: 0.01491101017302793 + reference_perf/forward/forward/duration_max_s: 0.01631157658994198 + reference_perf/forward/garbage_collection/duration_avg_s: 0.0003467193278281585 + reference_perf/forward/garbage_collection/duration_max_s: 0.00037288665771484375 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.2563339109006135 + reference_perf/forward/memory_peak_max_gb: 5.386606216430664 + reference_perf/forward/to_device/duration_avg_s: 0.00010625078626300977 + reference_perf/forward/to_device/duration_max_s: 0.00011611543595790863 + reference_perf/forward/total_duration_avg_s: 0.015471743338781855 + reference_perf/forward/total_duration_max_s: 0.016879328526556492 + rl_trainer/avg_loss: 0.5064523220062256 + rl_trainer/learning_rate: 9.879879879879881e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005747321993112564 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005747321993112564 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005415612831711769 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005415612831711769 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.4501909147948027 + rl_trainer_perf/push_weights/total_duration_max_s: 2.4501909147948027 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.4490717062726617 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.4490717062726617 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1548901703208685 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.1548901703208685 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0032362602651119232 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0032362602651119232 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017900368198752403 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017900368198752403 + rl_trainer_perf/step/total_duration_avg_s: 0.1760293822735548 + rl_trainer_perf/step/total_duration_max_s: 0.1760293822735548 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:53:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:35 INFO Pushing weights for policy version 15 +[ReferenceModel-0/1] 2025-11-19 07:53:35 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:35 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 14: Starting training +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 379] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 380] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 381] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 3 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 382] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text ---[ReferenceModel-0/1] 2025-11-19 07:53:35 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:35 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:35 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:35 INFO [GC] Performing periodic GC collection took 0.00 seconds + +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 383] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 384] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 385] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 386] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:35 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:36 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:36 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:36 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 387] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 388] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 389] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 6, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 6, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 390] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:36 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:36 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 390] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 391] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 392] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 392] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 393] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 394] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:36 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:37 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 395] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 395] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 396] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 397] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 398] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:37 INFO Completed weights push in 2.66 seconds +[Generator-0/1] 2025-11-19 07:53:37 INFO [Generator] Fetching weights for v15 to shared memory +INFO 11-19 07:53:40 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:53:40 INFO Weight update completed (now v15) +[ReferenceModel-0/1] 2025-11-19 07:53:40 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:40 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 399] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +Dropping weights @ version 14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 400] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=14 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 401] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 8 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 402] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 10 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:40 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:40 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:40 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 8/9 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 403] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 404] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 405] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 405] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 406] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 406] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropped weights @ version 14, took 0.93 seconds +WandbBackend: Logged 97 metrics at step 15 +=== [global_reduce] - METRICS STEP 15 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 92.0 + buffer/episodes_accepted: 92.0 + buffer/episodes_generated: 92.0 + buffer/evict/sum_episodes_evicted: 75.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.07547169811320754 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + buffer_perf/sample/total_duration_avg_s: 0.0015853149816393852 + buffer_perf/sample/total_duration_max_s: 0.0015853149816393852 + episode/total_tokens: 225.46902654867256 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.20353982300884957 + game/games_played: 113.0 + game/invalid_action_penalty: 111.0 + game/invalid_action_rate: 0.9823008849557522 + game/missing_answer_tags: 111.0 + game/win_rate: 0.36283185840707965 + generator/generate/avg_tokens_generated: 3.327433628318584 + generator/generate/count_requests: 113.0 + generator/generate/count_sequences_completed: 113.0 + generator/generate/sum_tokens_generated: 376.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.6485850447788835 + generator_perf/_fetch_weights/total_duration_max_s: 1.6485850447788835 + generator_perf/generate/generate/duration_avg_s: 0.03894365704798065 + generator_perf/generate/generate/duration_max_s: 2.63611865234375 + generator_perf/generate/process_inputs/duration_avg_s: 0.0008336283180170352 + generator_perf/generate/process_inputs/duration_max_s: 0.0016212480068206786 + generator_perf/generate/total_duration_avg_s: 0.03987866193271627 + generator_perf/generate/total_duration_max_s: 2.637594556361437 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.6386007275432348 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.6386007275432348 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7411186117678881 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7411186117678881 + groups/rate_dropped: 0.17857142857142858 + main/continuous_rollouts/count_rollout_iterations: 23.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.19737938156218401 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.7463299287483096 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.023565675698868607 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.02800446655601263 + main_perf/continuous_rollouts/total_duration_avg_s: 0.22888687286259873 + main_perf/continuous_rollouts/total_duration_max_s: 2.785454065538943 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.9332394953817129 + main_perf/continuous_training/drop_weights/duration_max_s: 0.9332394953817129 + main_perf/continuous_training/push_weights/duration_avg_s: 2.6608519572764635 + main_perf/continuous_training/push_weights/duration_max_s: 2.6608519572764635 + main_perf/continuous_training/total_duration_avg_s: 6.423637102358043 + main_perf/continuous_training/total_duration_max_s: 6.423637102358043 + main_perf/continuous_training/train_step/duration_avg_s: 0.17126156762242317 + main_perf/continuous_training/train_step/duration_max_s: 0.17126156762242317 + main_perf/continuous_training/update_weights/duration_avg_s: 2.6544502349570394 + main_perf/continuous_training/update_weights/duration_max_s: 2.6544502349570394 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0038315029814839363 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0038315029814839363 + reference_perf/forward/avg_sequence_length: 226.65217391304347 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.0001101476423766302 + reference_perf/forward/compute_logprobs/duration_max_s: 0.00014996714890003204 + reference_perf/forward/count_forward_passes: 23.0 + reference_perf/forward/forward/duration_avg_s: 0.015452575950842836 + reference_perf/forward/forward/duration_max_s: 0.019825639203190804 + reference_perf/forward/garbage_collection/duration_avg_s: 0.000363118015229702 + reference_perf/forward/garbage_collection/duration_max_s: 0.00043004192411899567 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.25658000033834705 + reference_perf/forward/memory_peak_max_gb: 5.386606216430664 + reference_perf/forward/to_device/duration_avg_s: 0.00010855285369831583 + reference_perf/forward/to_device/duration_max_s: 0.00013014767318964005 + reference_perf/forward/total_duration_avg_s: 0.016036014275058456 + reference_perf/forward/total_duration_max_s: 0.020471968688070774 + rl_trainer/avg_loss: 0.440563827753067 + rl_trainer/learning_rate: 9.86986986986987e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006136707961559296 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006136707961559296 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005455370992422104 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005455370992422104 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.6591488625854254 + rl_trainer_perf/push_weights/total_duration_max_s: 2.6591488625854254 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.657986531034112 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.657986531034112 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1461786227300763 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.1461786227300763 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209384441375732 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0032169409096240997 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0032169409096240997 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01819936092942953 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01819936092942953 + rl_trainer_perf/step/total_duration_avg_s: 0.16759767848998308 + rl_trainer_perf/step/total_duration_max_s: 0.16759767848998308 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:53:41 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:41 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:41 INFO Pushing weights for policy version 16 +[ReferenceModel-0/1] 2025-11-19 07:53:41 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 15: Starting training +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 407] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 408] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 408] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 409] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 410] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ +[ReferenceModel-0/1] 2025-11-19 07:53:41 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:41 INFO [GC] Performing periodic GC collection took 0.00 seconds + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 411] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 412] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 412] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 413] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 5, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 5, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 413] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 414] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:42 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:42 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:42 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:43 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 415] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 416] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 417] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 418] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:43 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:43 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:43 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:43 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 419] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 420] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 421] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 422] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 2 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:43 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:43 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:43 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:44 INFO Completed weights push in 2.79 seconds +[Generator-0/1] 2025-11-19 07:53:44 INFO [Generator] Fetching weights for v16 to shared memory + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 423] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 424] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 425] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 426] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +INFO 11-19 07:53:46 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:53:46 INFO Weight update completed (now v16) +[ReferenceModel-0/1] 2025-11-19 07:53:46 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:47 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:47 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=15 +Dropping weights @ version 15 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 427] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 428] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 429] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 430] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:47 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:47 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:47 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:47 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 431] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 432] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 433] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 10 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 8/9 trainable positions have valid targets +Dropped weights @ version 15, took 0.99 seconds +WandbBackend: Logged 97 metrics at step 16 +=== [global_reduce] - METRICS STEP 16 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 92.0 + buffer/episodes_accepted: 92.0 + buffer/episodes_generated: 92.0 + buffer/evict/sum_episodes_evicted: 86.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.07142857142857142 + buffer/sample/avg_sampled_policy_age: 0.875 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0018214043229818344 + buffer_perf/sample/total_duration_max_s: 0.0018214043229818344 + episode/total_tokens: 225.9056603773585 + episode/turns: 1.0188679245283019 + game/average_turns: 1.0188679245283019 + game/env_reward: -0.16037735849056603 + game/games_played: 106.0 + game/invalid_action_penalty: 103.0 + game/invalid_action_rate: 0.9537037037037037 + game/missing_answer_tags: 103.0 + game/win_rate: 0.36792452830188677 + generator/generate/avg_tokens_generated: 3.4166666666666665 + generator/generate/count_requests: 107.0 + generator/generate/count_sequences_completed: 108.0 + generator/generate/sum_tokens_generated: 369.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.5824655629694462 + generator_perf/_fetch_weights/total_duration_max_s: 1.5824655629694462 + generator_perf/generate/generate/duration_avg_s: 0.03950772927425527 + generator_perf/generate/generate/duration_max_s: 2.557947021484375 + generator_perf/generate/process_inputs/duration_avg_s: 0.0007511745176549692 + generator_perf/generate/process_inputs/duration_max_s: 0.001484768033027649 + generator_perf/generate/total_duration_avg_s: 0.0403485120881685 + generator_perf/generate/total_duration_max_s: 2.559225997455418 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5764999128878117 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5764999128878117 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7476190431043506 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7476190431043506 + groups/rate_dropped: 0.1111111111111111 + main/continuous_rollouts/count_rollout_iterations: 23.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.19830309610384014 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.6497858185321093 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04332772059285123 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.4818786382675171 + main_perf/continuous_rollouts/total_duration_avg_s: 0.24897096320413625 + main_perf/continuous_rollouts/total_duration_max_s: 2.6883287131786346 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.9931356254965067 + main_perf/continuous_training/drop_weights/duration_max_s: 0.9931356254965067 + main_perf/continuous_training/push_weights/duration_avg_s: 2.7960518850013614 + main_perf/continuous_training/push_weights/duration_max_s: 2.7960518850013614 + main_perf/continuous_training/total_duration_avg_s: 6.567807460203767 + main_perf/continuous_training/total_duration_max_s: 6.567807460203767 + main_perf/continuous_training/train_step/duration_avg_s: 0.17208359576761723 + main_perf/continuous_training/train_step/duration_max_s: 0.17208359576761723 + main_perf/continuous_training/update_weights/duration_avg_s: 2.6023597568273544 + main_perf/continuous_training/update_weights/duration_max_s: 2.6023597568273544 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.004174773581326008 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.004174773581326008 + reference_perf/forward/avg_sequence_length: 229.16666666666666 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00011070592639346917 + reference_perf/forward/compute_logprobs/duration_max_s: 0.00014070328325033188 + reference_perf/forward/count_forward_passes: 24.0 + reference_perf/forward/forward/duration_avg_s: 0.034868906058060624 + reference_perf/forward/forward/duration_max_s: 0.4736981373280287 + reference_perf/forward/garbage_collection/duration_avg_s: 0.0003709263789157073 + reference_perf/forward/garbage_collection/duration_max_s: 0.000558026134967804 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.2594265143076579 + reference_perf/forward/memory_peak_max_gb: 5.780549049377441 + reference_perf/forward/to_device/duration_avg_s: 0.00010103899209449689 + reference_perf/forward/to_device/duration_max_s: 0.00015110895037651062 + reference_perf/forward/total_duration_avg_s: 0.0354532499720032 + reference_perf/forward/total_duration_max_s: 0.47450503148138523 + rl_trainer/avg_loss: 0.6331473588943481 + rl_trainer/learning_rate: 9.85985985985986e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.000567941926419735 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.000567941926419735 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005210116505622864 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005210116505622864 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.79432207159698 + rl_trainer_perf/push_weights/total_duration_max_s: 2.79432207159698 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.793230263516307 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.793230263516307 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14690878149122 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.14690878149122 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003135496750473976 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003135496750473976 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01847302634268999 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01847302634268999 + rl_trainer_perf/step/total_duration_avg_s: 0.16851984802633524 + rl_trainer_perf/step/total_duration_max_s: 0.16851984802633524 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:53:47 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:47 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:48 INFO Pushing weights for policy version 17 +[ReferenceModel-0/1] 2025-11-19 07:53:48 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:48 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 16: Starting training +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 434] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 223, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 435] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 436] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 437] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:48 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:48 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:48 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 437] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 438] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 439] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 440] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 441] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:48 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:49 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 441] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 442] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 443] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 444] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 7 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 444] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 445] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 7 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:49 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:49 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:49 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:49 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 446] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 447] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 448] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 449] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 8 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:49 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:49 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:50 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 450] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 451] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 452] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 453] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 2 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:50 INFO Completed weights push in 2.75 seconds +[Generator-0/1] 2025-11-19 07:53:50 INFO [Generator] Fetching weights for v17 to shared memory +[ReferenceModel-0/1] 2025-11-19 07:53:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +INFO 11-19 07:53:53 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:53:53 INFO Weight update completed (now v17) + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 454] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 455] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 456] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=16 +Dropping weights @ version 16 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 457] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:53 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:53 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:53 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 458] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 458] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 459] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 460] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 9 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 461] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:54 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:54 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:54 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 462] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 463] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +Dropped weights @ version 16, took 1.07 seconds +WandbBackend: Logged 95 metrics at step 17 +=== [global_reduce] - METRICS STEP 17 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 108.0 + buffer/episodes_accepted: 108.0 + buffer/episodes_generated: 108.0 + buffer/evict/sum_episodes_evicted: 94.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.07207207207207207 + buffer/sample/avg_sampled_policy_age: 0.875 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.001843716949224472 + buffer_perf/sample/total_duration_max_s: 0.001843716949224472 + episode/total_tokens: 225.65833333333333 + episode/turns: 1.0083333333333333 + game/average_turns: 1.0083333333333333 + game/env_reward: -0.05 + game/games_played: 120.0 + game/invalid_action_penalty: 117.0 + game/invalid_action_rate: 0.9669421487603306 + game/missing_answer_tags: 117.0 + game/win_rate: 0.45 + generator/generate/avg_tokens_generated: 3.3388429752066116 + generator/generate/count_requests: 122.0 + generator/generate/count_sequences_completed: 121.0 + generator/generate/sum_tokens_generated: 404.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.5383301423862576 + generator_perf/_fetch_weights/total_duration_max_s: 1.5383301423862576 + generator_perf/generate/generate/duration_avg_s: 0.0371608508638114 + generator_perf/generate/generate/duration_max_s: 2.595471435546875 + generator_perf/generate/process_inputs/duration_avg_s: 0.0008411432741082864 + generator_perf/generate/process_inputs/duration_max_s: 0.0014341440200805664 + generator_perf/generate/total_duration_avg_s: 0.03809751704648285 + generator_perf/generate/total_duration_max_s: 2.597056395560503 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5384375769644976 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5384375769644976 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.8214916875585914 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.8214916875585914 + groups/rate_dropped: 0.13333333333333333 + main/continuous_rollouts/count_rollout_iterations: 27.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.18497976438412744 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.7553462786599994 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.02381593502919983 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.027622797526419163 + main_perf/continuous_rollouts/total_duration_avg_s: 0.2184563910949134 + main_perf/continuous_rollouts/total_duration_max_s: 2.7946762470528483 + main_perf/continuous_training/drop_weights/duration_avg_s: 1.0684795742854476 + main_perf/continuous_training/drop_weights/duration_max_s: 1.0684795742854476 + main_perf/continuous_training/push_weights/duration_avg_s: 2.759557807818055 + main_perf/continuous_training/push_weights/duration_max_s: 2.759557807818055 + main_perf/continuous_training/total_duration_avg_s: 6.627354602329433 + main_perf/continuous_training/total_duration_max_s: 6.627354602329433 + main_perf/continuous_training/train_step/duration_avg_s: 0.170480502769351 + main_perf/continuous_training/train_step/duration_max_s: 0.170480502769351 + main_perf/continuous_training/update_weights/duration_avg_s: 2.624828364700079 + main_perf/continuous_training/update_weights/duration_max_s: 2.624828364700079 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.004006889648735523 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.004006889648735523 + reference_perf/forward/avg_sequence_length: 227.76923076923077 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00011523307945865851 + reference_perf/forward/compute_logprobs/duration_max_s: 0.00016226526349782944 + reference_perf/forward/count_forward_passes: 26.0 + reference_perf/forward/forward/duration_avg_s: 0.016345710672724705 + reference_perf/forward/forward/duration_max_s: 0.01834894809871912 + reference_perf/forward/garbage_collection/duration_avg_s: 0.000368026765779807 + reference_perf/forward/garbage_collection/duration_max_s: 0.000555042177438736 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.2578445581289438 + reference_perf/forward/memory_peak_max_gb: 5.603953838348389 + reference_perf/forward/to_device/duration_avg_s: 9.572713707502071e-05 + reference_perf/forward/to_device/duration_max_s: 0.00013902131468057632 + reference_perf/forward/total_duration_avg_s: 0.016926402512651224 + reference_perf/forward/total_duration_max_s: 0.018885502591729164 + rl_trainer/avg_loss: 0.7547933459281921 + rl_trainer/learning_rate: 9.849849849849851e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005918378010392189 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005918378010392189 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005208700895309448 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005208700895309448 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.7543182587251067 + rl_trainer_perf/push_weights/total_duration_max_s: 2.7543182587251067 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.7532027270644903 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.7532027270644903 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14566203951835632 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.14566203951835632 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0031294580549001694 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0031294580549001694 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018406123854219913 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018406123854219913 + rl_trainer_perf/step/total_duration_avg_s: 0.16719987522810698 + rl_trainer_perf/step/total_duration_max_s: 0.16719987522810698 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:53:54 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:54 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:54 INFO Pushing weights for policy version 18 +[ReferenceModel-0/1] 2025-11-19 07:53:54 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:54 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[TRAINING] Step 17: Starting training +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 464] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 465] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 466] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 467] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ +[ReferenceModel-0/1] 2025-11-19 07:53:54 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:55 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:55 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:55 INFO [GC] Performing periodic GC collection took 0.00 seconds + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 468] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 469] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 4 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 470] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 471] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:55 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:55 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:56 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 472] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 4 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 472] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 473] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 474] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 475] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:56 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 476] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 476] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 477] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 478] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 479] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:53:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:53:57 INFO Completed weights push in 2.47 seconds +[Generator-0/1] 2025-11-19 07:53:57 INFO [Generator] Fetching weights for v18 to shared memory +INFO 11-19 07:53:59 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:53:59 INFO Weight update completed (now v18) + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 480] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 481] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 2 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 482] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 482] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropping weights @ version 17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 483] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:53:59 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:00 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:00 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:00 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=17 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 484] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 485] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 5 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 486] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 487] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:00 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:00 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:00 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 488] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 489] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 2 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropped weights @ version 17, took 1.08 seconds +WandbBackend: Logged 97 metrics at step 18 +=== [global_reduce] - METRICS STEP 18 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 92.0 + buffer/episodes_accepted: 92.0 + buffer/episodes_generated: 92.0 + buffer/evict/sum_episodes_evicted: 87.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.061068702290076333 + buffer/sample/avg_sampled_policy_age: 0.75 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0016975142061710358 + buffer_perf/sample/total_duration_max_s: 0.0016975142061710358 + episode/total_tokens: 225.38095238095238 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.19047619047619047 + game/games_played: 105.0 + game/invalid_action_penalty: 103.0 + game/invalid_action_rate: 0.9809523809523809 + game/missing_answer_tags: 103.0 + game/win_rate: 0.38095238095238093 + generator/generate/avg_tokens_generated: 3.295238095238095 + generator/generate/count_requests: 105.0 + generator/generate/count_sequences_completed: 105.0 + generator/generate/sum_tokens_generated: 346.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.5711275320500135 + generator_perf/_fetch_weights/total_duration_max_s: 1.5711275320500135 + generator_perf/generate/generate/duration_avg_s: 0.041529941740490156 + generator_perf/generate/generate/duration_max_s: 2.642236328125 + generator_perf/generate/process_inputs/duration_avg_s: 0.0008632179844947093 + generator_perf/generate/process_inputs/duration_max_s: 0.0015153599977493287 + generator_perf/generate/total_duration_avg_s: 0.042499754468198606 + generator_perf/generate/total_duration_max_s: 2.6436295441687108 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5603160383179784 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5603160383179784 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.8081861222162843 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.8081861222162843 + groups/rate_dropped: 0.11538461538461539 + main/continuous_rollouts/count_rollout_iterations: 23.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.21206010763461774 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.7509271446615458 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.023349698309017265 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.0253985533490777 + main_perf/continuous_rollouts/total_duration_avg_s: 0.24544057447033432 + main_perf/continuous_rollouts/total_duration_max_s: 2.7897371146827936 + main_perf/continuous_training/drop_weights/duration_avg_s: 1.0767848938703537 + main_perf/continuous_training/drop_weights/duration_max_s: 1.0767848938703537 + main_perf/continuous_training/push_weights/duration_avg_s: 2.474505794234574 + main_perf/continuous_training/push_weights/duration_max_s: 2.474505794234574 + main_perf/continuous_training/total_duration_avg_s: 6.388173679821193 + main_perf/continuous_training/total_duration_max_s: 6.388173679821193 + main_perf/continuous_training/train_step/duration_avg_s: 0.17474965937435627 + main_perf/continuous_training/train_step/duration_max_s: 0.17474965937435627 + main_perf/continuous_training/update_weights/duration_avg_s: 2.65823513828218 + main_perf/continuous_training/update_weights/duration_max_s: 2.65823513828218 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0038960203528404236 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0038960203528404236 + reference_perf/forward/avg_sequence_length: 226.47826086956522 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00010723798819210218 + reference_perf/forward/compute_logprobs/duration_max_s: 0.0001162160187959671 + reference_perf/forward/count_forward_passes: 23.0 + reference_perf/forward/forward/duration_avg_s: 0.015171540779588015 + reference_perf/forward/forward/duration_max_s: 0.017581123858690262 + reference_perf/forward/garbage_collection/duration_avg_s: 0.0003614073781215626 + reference_perf/forward/garbage_collection/duration_max_s: 0.00042002834379673004 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.2563831287881602 + reference_perf/forward/memory_peak_max_gb: 5.386606216430664 + reference_perf/forward/to_device/duration_avg_s: 0.00010637967320887938 + reference_perf/forward/to_device/duration_max_s: 0.00012043304741382599 + reference_perf/forward/total_duration_avg_s: 0.015748189397804115 + reference_perf/forward/total_duration_max_s: 0.01819818001240492 + rl_trainer/avg_loss: 1.214247703552246 + rl_trainer/learning_rate: 9.83983983983984e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005944417789578438 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005944417789578438 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005220817402005196 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005220817402005196 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.472850853577256 + rl_trainer_perf/push_weights/total_duration_max_s: 2.472850853577256 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.4717318564653397 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.4717318564653397 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14585282932966948 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.14585282932966948 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0031923437491059303 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0031923437491059303 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018128613010048866 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018128613010048866 + rl_trainer_perf/step/total_duration_avg_s: 0.1671761004254222 + rl_trainer_perf/step/total_duration_max_s: 0.1671761004254222 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:54:00 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:00 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:01 INFO Pushing weights for policy version 19 +[ReferenceModel-0/1] 2025-11-19 07:54:01 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:01 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 18: Starting training +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 490] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 491] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 492] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 7 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 493] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text ---[ReferenceModel-0/1] 2025-11-19 07:54:01 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:01 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:01 INFO [GC] Performing periodic GC collection took 0.00 seconds + +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 494] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 5 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 495] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 495] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 496] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 497] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:01 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:02 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:02 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:02 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 498] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 5 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 499] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 500] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 501] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:02 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:02 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:02 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:02 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 502] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 503] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 504] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 505] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:03 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:03 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:03 INFO Completed weights push in 2.36 seconds +[Generator-0/1] 2025-11-19 07:54:03 INFO [Generator] Fetching weights for v19 to shared memory +INFO 11-19 07:54:06 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:54:06 INFO Weight update completed (now v19) + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 506] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 506] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 507] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 507] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 508] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=18 +Dropping weights @ version 18 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 509] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:06 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:06 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:06 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:06 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 510] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 511] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 512] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 513] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:06 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:06 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 514] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropped weights @ version 18, took 0.95 seconds +WandbBackend: Logged 95 metrics at step 19 +=== [global_reduce] - METRICS STEP 19 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 88.0 + buffer/episodes_accepted: 88.0 + buffer/episodes_generated: 88.0 + buffer/evict/sum_episodes_evicted: 109.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.07017543859649122 + buffer/sample/avg_sampled_policy_age: 0.5 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.002029949799180031 + buffer_perf/sample/total_duration_max_s: 0.002029949799180031 + episode/total_tokens: 225.4950495049505 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.07920792079207921 + game/games_played: 101.0 + game/invalid_action_penalty: 101.0 + game/invalid_action_rate: 1.0 + game/missing_answer_tags: 101.0 + game/win_rate: 0.43564356435643564 + generator/generate/avg_tokens_generated: 3.227722772277228 + generator/generate/count_requests: 101.0 + generator/generate/count_sequences_completed: 101.0 + generator/generate/sum_tokens_generated: 326.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.5505345398560166 + generator_perf/_fetch_weights/total_duration_max_s: 1.5505345398560166 + generator_perf/generate/generate/duration_avg_s: 0.04146226243689508 + generator_perf/generate/generate/duration_max_s: 2.624644287109375 + generator_perf/generate/process_inputs/duration_avg_s: 0.0007947003544944493 + generator_perf/generate/process_inputs/duration_max_s: 0.0013536959886550903 + generator_perf/generate/total_duration_avg_s: 0.04236408928664411 + generator_perf/generate/total_duration_max_s: 2.6261479350924493 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.550637835636735 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.550637835636735 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.824675559066236 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.824675559066236 + groups/rate_dropped: 0.12 + main/continuous_rollouts/count_rollout_iterations: 22.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.21131890393793584 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.7323655830696225 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.02351188329471783 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.03197397943586111 + main_perf/continuous_rollouts/total_duration_avg_s: 0.24502002701163292 + main_perf/continuous_rollouts/total_duration_max_s: 2.770974649116397 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.9472284484654665 + main_perf/continuous_training/drop_weights/duration_max_s: 0.9472284484654665 + main_perf/continuous_training/push_weights/duration_avg_s: 2.3638373455032706 + main_perf/continuous_training/push_weights/duration_max_s: 2.3638373455032706 + main_perf/continuous_training/total_duration_avg_s: 6.1483703050762415 + main_perf/continuous_training/total_duration_max_s: 6.1483703050762415 + main_perf/continuous_training/train_step/duration_avg_s: 0.16716106701642275 + main_perf/continuous_training/train_step/duration_max_s: 0.16716106701642275 + main_perf/continuous_training/update_weights/duration_avg_s: 2.6657189512625337 + main_perf/continuous_training/update_weights/duration_max_s: 2.6657189512625337 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.004422198981046677 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.004422198981046677 + reference_perf/forward/avg_sequence_length: 226.3181818181818 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00010813387449492107 + reference_perf/forward/compute_logprobs/duration_max_s: 0.00012017320841550827 + reference_perf/forward/count_forward_passes: 22.0 + reference_perf/forward/forward/duration_avg_s: 0.014904968059537086 + reference_perf/forward/forward/duration_max_s: 0.015873761847615242 + reference_perf/forward/garbage_collection/duration_avg_s: 0.00035693466832691973 + reference_perf/forward/garbage_collection/duration_max_s: 0.00041559990495443344 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.2562019174749201 + reference_perf/forward/memory_peak_max_gb: 5.359437942504883 + reference_perf/forward/to_device/duration_avg_s: 0.00011009532450274988 + reference_perf/forward/to_device/duration_max_s: 0.00012956559658050537 + reference_perf/forward/total_duration_avg_s: 0.015481883617625996 + reference_perf/forward/total_duration_max_s: 0.01651278231292963 + rl_trainer/avg_loss: 0.2749760150909424 + rl_trainer/learning_rate: 9.829829829829831e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.000530715100467205 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.000530715100467205 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005106553435325623 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005106553435325623 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.362107940018177 + rl_trainer_perf/push_weights/total_duration_max_s: 2.362107940018177 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.361063987016678 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.361063987016678 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14244223479181528 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.14244223479181528 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209384441375732 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.002742711454629898 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.002742711454629898 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018147381953895092 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018147381953895092 + rl_trainer_perf/step/total_duration_avg_s: 0.16333442088216543 + rl_trainer_perf/step/total_duration_max_s: 0.16333442088216543 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:54:07 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:07 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:07 INFO Pushing weights for policy version 20 +[ReferenceModel-0/1] 2025-11-19 07:54:07 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:07 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 19: Starting training +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 515] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 5 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 516] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 517] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 3 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 518] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ +[ReferenceModel-0/1] 2025-11-19 07:54:07 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:07 INFO [GC] Performing periodic GC collection took 0.00 seconds + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 519] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 519] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 520] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 520] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 521] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 522] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:08 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:08 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:08 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 523] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 9 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 524] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 524] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 525] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 526] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 6, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 6, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:08 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:08 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:08 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:09 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 527] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 528] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 529] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 530] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:09 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:09 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:09 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 531] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 532] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 533] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 533] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 534] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:09 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:09 INFO Completed weights push in 2.59 seconds +[Generator-0/1] 2025-11-19 07:54:09 INFO [Generator] Fetching weights for v20 to shared memory +INFO 11-19 07:54:12 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:54:12 INFO Weight update completed (now v20) +[ReferenceModel-0/1] 2025-11-19 07:54:12 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:12 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=19 +Dropping weights @ version 19 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 535] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 536] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 536] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 537] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 538] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 6 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:13 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:13 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 539] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 2 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropped weights @ version 19, took 0.75 seconds +WandbBackend: Logged 95 metrics at step 20 +=== [global_reduce] - METRICS STEP 20 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 80.0 + buffer/episodes_accepted: 80.0 + buffer/episodes_generated: 80.0 + buffer/evict/sum_episodes_evicted: 92.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.07272727272727272 + buffer/sample/avg_sampled_policy_age: 0.625 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0019478751346468925 + buffer_perf/sample/total_duration_max_s: 0.0019478751346468925 + episode/total_tokens: 225.45544554455446 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.15841584158415842 + game/games_played: 101.0 + game/invalid_action_penalty: 98.0 + game/invalid_action_rate: 0.9702970297029703 + game/missing_answer_tags: 98.0 + game/win_rate: 0.37623762376237624 + generator/generate/avg_tokens_generated: 3.4158415841584158 + generator/generate/count_requests: 101.0 + generator/generate/count_sequences_completed: 101.0 + generator/generate/sum_tokens_generated: 345.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.6658812863752246 + generator_perf/_fetch_weights/total_duration_max_s: 1.6658812863752246 + generator_perf/generate/generate/duration_avg_s: 0.044080350951393045 + generator_perf/generate/generate/duration_max_s: 2.6741259765625 + generator_perf/generate/process_inputs/duration_avg_s: 0.0009296209092187417 + generator_perf/generate/process_inputs/duration_max_s: 0.0024242238998413088 + generator_perf/generate/total_duration_avg_s: 0.04515424116677834 + generator_perf/generate/total_duration_max_s: 2.675666552528739 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.6659916136413813 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.6659916136413813 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7456109169870615 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7456109169870615 + groups/rate_dropped: 0.2 + main/continuous_rollouts/count_rollout_iterations: 20.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.21793036743998528 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.7723670210689306 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.022970249084755777 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.025058748200535774 + main_perf/continuous_rollouts/total_duration_avg_s: 0.24862147066742182 + main_perf/continuous_rollouts/total_duration_max_s: 2.812143308110535 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.7503249906003475 + main_perf/continuous_training/drop_weights/duration_max_s: 0.7503249906003475 + main_perf/continuous_training/push_weights/duration_avg_s: 2.5911566596478224 + main_perf/continuous_training/push_weights/duration_max_s: 2.5911566596478224 + main_perf/continuous_training/total_duration_avg_s: 6.223559828475118 + main_perf/continuous_training/total_duration_max_s: 6.223559828475118 + main_perf/continuous_training/train_step/duration_avg_s: 0.17159072682261467 + main_perf/continuous_training/train_step/duration_max_s: 0.17159072682261467 + main_perf/continuous_training/update_weights/duration_avg_s: 2.7065193708986044 + main_perf/continuous_training/update_weights/duration_max_s: 2.7065193708986044 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.003965757787227631 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.003965757787227631 + reference_perf/forward/avg_sequence_length: 226.5 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00011053206399083137 + reference_perf/forward/compute_logprobs/duration_max_s: 0.00011994130909442902 + reference_perf/forward/count_forward_passes: 20.0 + reference_perf/forward/forward/duration_avg_s: 0.015249842265620827 + reference_perf/forward/forward/duration_max_s: 0.016540464013814926 + reference_perf/forward/garbage_collection/duration_avg_s: 0.00036142184399068356 + reference_perf/forward/garbage_collection/duration_max_s: 0.0003907131031155586 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.2564077377319336 + reference_perf/forward/memory_peak_max_gb: 5.386606216430664 + reference_perf/forward/to_device/duration_avg_s: 0.00011258716695010662 + reference_perf/forward/to_device/duration_max_s: 0.00012746267020702362 + reference_perf/forward/total_duration_avg_s: 0.01583601236343384 + reference_perf/forward/total_duration_max_s: 0.01711883209645748 + rl_trainer/avg_loss: -0.2127486765384674 + rl_trainer/learning_rate: 9.81981981981982e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.000586128793656826 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.000586128793656826 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005255276337265968 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005255276337265968 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.589377691037953 + rl_trainer_perf/push_weights/total_duration_max_s: 2.589377691037953 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.588263440877199 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.588263440877199 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14667283464223146 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.14667283464223146 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0027132760733366013 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0027132760733366013 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01866829115897417 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01866829115897417 + rl_trainer_perf/step/total_duration_avg_s: 0.16805642656981945 + rl_trainer_perf/step/total_duration_max_s: 0.16805642656981945 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:54:13 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:13 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:13 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:13 INFO Pushing weights for policy version 21 +[TRAINING] Step 20: Starting training +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 540] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 541] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 542] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 6 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 542] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 543] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 5 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100[ReferenceModel-0/1] 2025-11-19 07:54:13 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:13 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:13 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:14 INFO [GC] Performing periodic GC collection took 0.00 seconds + +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 544] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 7 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 545] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 546] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 547] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:14 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:14 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:14 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:14 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 548] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 7 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 549] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 550] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 551] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 3 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:14 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:14 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:15 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 552] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 10 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 8/9 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 553] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 554] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 555] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:15 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 556] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 557] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 558] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 559] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:15 INFO Completed weights push in 2.44 seconds +[Generator-0/1] 2025-11-19 07:54:15 INFO [Generator] Fetching weights for v21 to shared memory +INFO 11-19 07:54:18 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:54:18 INFO Weight update completed (now v21) +[ReferenceModel-0/1] 2025-11-19 07:54:18 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:18 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:18 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropping weights @ version 20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 560] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=20 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 561] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 562] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 563] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 8 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:19 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:19 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:19 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:19 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 564] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 565] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 566] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +Dropped weights @ version 20, took 0.98 seconds +WandbBackend: Logged 97 metrics at step 21 +=== [global_reduce] - METRICS STEP 21 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 104.0 + buffer/episodes_accepted: 104.0 + buffer/episodes_generated: 104.0 + buffer/evict/sum_episodes_evicted: 89.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.07920792079207921 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + buffer_perf/sample/total_duration_avg_s: 0.001865471713244915 + buffer_perf/sample/total_duration_max_s: 0.001865471713244915 + episode/total_tokens: 225.35185185185185 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.037037037037037035 + game/games_played: 108.0 + game/invalid_action_penalty: 106.0 + game/invalid_action_rate: 0.9814814814814815 + game/missing_answer_tags: 106.0 + game/win_rate: 0.4537037037037037 + generator/generate/avg_tokens_generated: 3.2777777777777777 + generator/generate/count_requests: 108.0 + generator/generate/count_sequences_completed: 108.0 + generator/generate/sum_tokens_generated: 354.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.598670968785882 + generator_perf/_fetch_weights/total_duration_max_s: 1.598670968785882 + generator_perf/generate/generate/duration_avg_s: 0.04001013067033555 + generator_perf/generate/generate/duration_max_s: 2.638514404296875 + generator_perf/generate/process_inputs/duration_avg_s: 0.000759866076487082 + generator_perf/generate/process_inputs/duration_max_s: 0.0014625600576400758 + generator_perf/generate/total_duration_avg_s: 0.04086480830258396 + generator_perf/generate/total_duration_max_s: 2.639871524259448 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5749815292656422 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5749815292656422 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7636583680287004 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7636583680287004 + groups/rate_dropped: 0.037037037037037035 + main/continuous_rollouts/count_rollout_iterations: 26.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.196603756191002 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.741871155798435 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.023695207344224818 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.0252384003251791 + main_perf/continuous_rollouts/total_duration_avg_s: 0.23233375539658246 + main_perf/continuous_rollouts/total_duration_max_s: 2.78257180377841 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.9778008721768856 + main_perf/continuous_training/drop_weights/duration_max_s: 0.9778008721768856 + main_perf/continuous_training/push_weights/duration_avg_s: 2.462094043381512 + main_perf/continuous_training/push_weights/duration_max_s: 2.462094043381512 + main_perf/continuous_training/total_duration_avg_s: 6.274154116399586 + main_perf/continuous_training/total_duration_max_s: 6.274154116399586 + main_perf/continuous_training/train_step/duration_avg_s: 0.16637913137674332 + main_perf/continuous_training/train_step/duration_max_s: 0.16637913137674332 + main_perf/continuous_training/update_weights/duration_avg_s: 2.6640683272853494 + main_perf/continuous_training/update_weights/duration_max_s: 2.6640683272853494 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.003809599205851555 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.003809599205851555 + reference_perf/forward/avg_sequence_length: 226.30769230769232 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00013888684602884145 + reference_perf/forward/compute_logprobs/duration_max_s: 0.00015415344387292862 + reference_perf/forward/count_forward_passes: 26.0 + reference_perf/forward/forward/duration_avg_s: 0.015777451666788414 + reference_perf/forward/forward/duration_max_s: 0.016898958012461662 + reference_perf/forward/garbage_collection/duration_avg_s: 0.00043507156750330556 + reference_perf/forward/garbage_collection/duration_max_s: 0.0004732273519039154 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.25619004322932315 + reference_perf/forward/memory_peak_max_gb: 5.386606216430664 + reference_perf/forward/to_device/duration_avg_s: 0.00013957906944247393 + reference_perf/forward/to_device/duration_max_s: 0.00017314311116933823 + reference_perf/forward/total_duration_avg_s: 0.01649265750669516 + reference_perf/forward/total_duration_max_s: 0.017662307247519493 + rl_trainer/avg_loss: 0.6257914304733276 + rl_trainer/learning_rate: 9.80980980980981e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.000546489842236042 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.000546489842236042 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0004870183765888214 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0004870183765888214 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.4395122034475207 + rl_trainer_perf/push_weights/total_duration_max_s: 2.4395122034475207 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.4384758919477463 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.4384758919477463 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14315377362072468 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.14315377362072468 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0025082966312766075 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0025082966312766075 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017484615556895733 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017484615556895733 + rl_trainer_perf/step/total_duration_avg_s: 0.16314862854778767 + rl_trainer_perf/step/total_duration_max_s: 0.16314862854778767 +============================== + +[ReferenceModel-0/1] 2025-11-19 07:54:19 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:19 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:19 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:19 INFO Pushing weights for policy version 22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 567] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[TRAINING] Step 21: Starting training +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 568] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 2 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 569] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 569] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 570] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets[ReferenceModel-0/1] 2025-11-19 07:54:19 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:20 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:20 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:20 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 571] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 572] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 264, Trainable tokens: 19 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 17, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100 +✓ 16/17 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 573] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 3 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 574] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:20 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:20 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:20 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 575] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 576] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 576] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 577] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 9 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 578] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:20 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:21 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 579] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 580] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 2 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 581] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 4 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 582] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 7 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:22 INFO Completed weights push in 2.31 seconds +[Generator-0/1] 2025-11-19 07:54:22 INFO [Generator] Fetching weights for v22 to shared memory +INFO 11-19 07:54:24 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:54:24 INFO Weight update completed (now v22) + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 582] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 583] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 5, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 5, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 584] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 584] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 585] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropping weights @ version 21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 586] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:24 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:24 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:24 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:25 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=21 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 587] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 3 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 588] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 589] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 590] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 2 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:25 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:25 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 591] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 592] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 592] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropped weights @ version 21, took 1.00 seconds +WandbBackend: Logged 97 metrics at step 22 +=== [global_reduce] - METRICS STEP 22 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 84.0 + buffer/episodes_accepted: 84.0 + buffer/episodes_generated: 84.0 + buffer/evict/sum_episodes_evicted: 85.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.06666666666666667 + buffer/sample/avg_sampled_policy_age: 0.5 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0020829401910305023 + buffer_perf/sample/total_duration_max_s: 0.0020829401910305023 + episode/total_tokens: 226.4368932038835 + episode/turns: 1.029126213592233 + game/average_turns: 1.029126213592233 + game/env_reward: -0.30097087378640774 + game/games_played: 103.0 + game/invalid_action_penalty: 101.0 + game/invalid_action_rate: 0.9528301886792453 + game/missing_answer_tags: 101.0 + game/win_rate: 0.3300970873786408 + generator/generate/avg_tokens_generated: 3.5660377358490565 + generator/generate/count_requests: 106.0 + generator/generate/count_sequences_completed: 106.0 + generator/generate/sum_tokens_generated: 378.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.5770291658118367 + generator_perf/_fetch_weights/total_duration_max_s: 1.5770291658118367 + generator_perf/generate/generate/duration_avg_s: 0.04093875441461239 + generator_perf/generate/generate/duration_max_s: 2.58022216796875 + generator_perf/generate/process_inputs/duration_avg_s: 0.0008369074683144411 + generator_perf/generate/process_inputs/duration_max_s: 0.0013921279907226562 + generator_perf/generate/total_duration_avg_s: 0.041871151090158085 + generator_perf/generate/total_duration_max_s: 2.5817414320111274 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5589544335380197 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5589544335380197 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7522372202947736 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7522372202947736 + groups/rate_dropped: 0.19230769230769232 + main/continuous_rollouts/count_rollout_iterations: 21.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.20465156274776047 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.6853651981800795 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.023819872887716406 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.02610541507601738 + main_perf/continuous_rollouts/total_duration_avg_s: 0.23545286879659846 + main_perf/continuous_rollouts/total_duration_max_s: 2.7279688641428947 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.9959992812946439 + main_perf/continuous_training/drop_weights/duration_max_s: 0.9959992812946439 + main_perf/continuous_training/push_weights/duration_avg_s: 2.3209902085363865 + main_perf/continuous_training/push_weights/duration_max_s: 2.3209902085363865 + main_perf/continuous_training/total_duration_avg_s: 6.096860195510089 + main_perf/continuous_training/total_duration_max_s: 6.096860195510089 + main_perf/continuous_training/train_step/duration_avg_s: 0.1678028916940093 + main_perf/continuous_training/train_step/duration_max_s: 0.1678028916940093 + main_perf/continuous_training/update_weights/duration_avg_s: 2.604262954555452 + main_perf/continuous_training/update_weights/duration_max_s: 2.604262954555452 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.007802626118063927 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.007802626118063927 + reference_perf/forward/avg_sequence_length: 231.1904761904762 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.0001442450586529005 + reference_perf/forward/compute_logprobs/duration_max_s: 0.00016468018293380737 + reference_perf/forward/count_forward_passes: 21.0 + reference_perf/forward/forward/duration_avg_s: 0.015968227049424535 + reference_perf/forward/forward/duration_max_s: 0.017791402526199818 + reference_perf/forward/garbage_collection/duration_avg_s: 0.00045294660542692455 + reference_perf/forward/garbage_collection/duration_max_s: 0.0004912950098514557 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.26171754655383883 + reference_perf/forward/memory_peak_max_gb: 5.800925254821777 + reference_perf/forward/to_device/duration_avg_s: 0.0001345583725543249 + reference_perf/forward/to_device/duration_max_s: 0.00017011817544698715 + reference_perf/forward/total_duration_avg_s: 0.016701757375683104 + reference_perf/forward/total_duration_max_s: 0.018536091782152653 + rl_trainer/avg_loss: 0.8150738477706909 + rl_trainer/learning_rate: 9.799799799799801e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005168337374925613 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005168337374925613 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0004875697195529938 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0004875697195529938 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.314641577191651 + rl_trainer_perf/push_weights/total_duration_max_s: 2.314641577191651 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.31363508105278 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.31363508105278 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14463119581341743 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.14463119581341743 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0024567367509007454 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0024567367509007454 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017342621460556984 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017342621460556984 + rl_trainer_perf/step/total_duration_avg_s: 0.16443250700831413 + rl_trainer_perf/step/total_duration_max_s: 0.16443250700831413 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:54:25 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:25 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:25 INFO Pushing weights for policy version 23 +[ReferenceModel-0/1] 2025-11-19 07:54:25 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:26 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:26 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[TRAINING] Step 22: Starting training +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 593] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: Ace + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 594] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 595] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 10 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 8/9 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 596] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22[ReferenceModel-0/1] 2025-11-19 07:54:26 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:26 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 597] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 597] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 598] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 599] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 600] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:26 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:26 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:27 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:27 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 601] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 602] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 603] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 604] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:27 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:27 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:27 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 605] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 605] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 606] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 607] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 608] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:27 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:27 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:28 INFO Completed weights push in 2.52 seconds +[Generator-0/1] 2025-11-19 07:54:28 INFO [Generator] Fetching weights for v23 to shared memory + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 609] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 610] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 610] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 611] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 611] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 612] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:28 INFO [GC] Performing periodic GC collection took 0.00 seconds +INFO 11-19 07:54:30 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:54:30 INFO Weight update completed (now v23) +[ReferenceModel-0/1] 2025-11-19 07:54:31 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:31 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=22 +Dropping weights @ version 22 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 613] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 3 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 614] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 615] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 615] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 616] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:31 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:31 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:31 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 617] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 618] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 618] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 619] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +Dropped weights @ version 22, took 1.06 seconds +WandbBackend: Logged 97 metrics at step 23 +=== [global_reduce] - METRICS STEP 23 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 84.0 + buffer/episodes_accepted: 84.0 + buffer/episodes_generated: 84.0 + buffer/evict/sum_episodes_evicted: 99.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.0761904761904762 + buffer/sample/avg_sampled_policy_age: 0.75 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0020289383828639984 + buffer_perf/sample/total_duration_max_s: 0.0020289383828639984 + episode/total_tokens: 226.12962962962962 + episode/turns: 1.0185185185185186 + game/average_turns: 1.0185185185185186 + game/env_reward: -0.1388888888888889 + game/games_played: 108.0 + game/invalid_action_penalty: 104.0 + game/invalid_action_rate: 0.9454545454545454 + game/missing_answer_tags: 104.0 + game/win_rate: 0.3888888888888889 + generator/generate/avg_tokens_generated: 3.4727272727272727 + generator/generate/count_requests: 110.0 + generator/generate/count_sequences_completed: 110.0 + generator/generate/sum_tokens_generated: 382.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.5896758725866675 + generator_perf/_fetch_weights/total_duration_max_s: 1.5896758725866675 + generator_perf/generate/generate/duration_avg_s: 0.03967567414370451 + generator_perf/generate/generate/duration_max_s: 2.51326220703125 + generator_perf/generate/process_inputs/duration_avg_s: 0.0009533730913948435 + generator_perf/generate/process_inputs/duration_max_s: 0.001431648015975952 + generator_perf/generate/total_duration_avg_s: 0.040732724034983056 + generator_perf/generate/total_duration_max_s: 2.514821183040738 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5851818937808275 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5851818937808275 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.6942170849069953 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.6942170849069953 + groups/rate_dropped: 0.2222222222222222 + main/continuous_rollouts/count_rollout_iterations: 21.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.2035248769723155 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.677058095112443 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.025373492478614763 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.034555296413600445 + main_perf/continuous_rollouts/total_duration_avg_s: 0.23479703593033333 + main_perf/continuous_rollouts/total_duration_max_s: 2.7254046332091093 + main_perf/continuous_training/drop_weights/duration_avg_s: 1.0620540753006935 + main_perf/continuous_training/drop_weights/duration_max_s: 1.0620540753006935 + main_perf/continuous_training/push_weights/duration_avg_s: 2.5218508327379823 + main_perf/continuous_training/push_weights/duration_max_s: 2.5218508327379823 + main_perf/continuous_training/total_duration_avg_s: 6.33206798043102 + main_perf/continuous_training/total_duration_max_s: 6.33206798043102 + main_perf/continuous_training/train_step/duration_avg_s: 0.16614436451345682 + main_perf/continuous_training/train_step/duration_max_s: 0.16614436451345682 + main_perf/continuous_training/update_weights/duration_avg_s: 2.56861799582839 + main_perf/continuous_training/update_weights/duration_max_s: 2.56861799582839 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.013398728333413601 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.013398728333413601 + reference_perf/forward/avg_sequence_length: 230.1904761904762 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00015651931365331015 + reference_perf/forward/compute_logprobs/duration_max_s: 0.0002070348709821701 + reference_perf/forward/count_forward_passes: 21.0 + reference_perf/forward/forward/duration_avg_s: 0.017403565923727694 + reference_perf/forward/forward/duration_max_s: 0.026397788897156715 + reference_perf/forward/garbage_collection/duration_avg_s: 0.0004792635639508565 + reference_perf/forward/garbage_collection/duration_max_s: 0.0005301041528582573 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.2605854897272019 + reference_perf/forward/memory_peak_max_gb: 5.603953838348389 + reference_perf/forward/to_device/duration_avg_s: 0.00012882829954226813 + reference_perf/forward/to_device/duration_max_s: 0.00016793422400951385 + reference_perf/forward/total_duration_avg_s: 0.018170068617023173 + reference_perf/forward/total_duration_max_s: 0.027161728590726852 + rl_trainer/avg_loss: 0.32133397459983826 + rl_trainer/learning_rate: 9.78978978978979e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005313055589795113 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005313055589795113 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005014305934309959 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005014305934309959 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.5201029805466533 + rl_trainer_perf/push_weights/total_duration_max_s: 2.5201029805466533 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.5190670201554894 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.5190670201554894 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14215105306357145 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.14215105306357145 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0025216955691576004 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0025216955691576004 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017819355241954327 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017819355241954327 + rl_trainer_perf/step/total_duration_avg_s: 0.1624939562752843 + rl_trainer_perf/step/total_duration_max_s: 0.1624939562752843 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:54:32 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:32 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:32 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:32 INFO Pushing weights for policy version 24 +[ReferenceModel-0/1] 2025-11-19 07:54:32 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[TRAINING] Step 23: Starting training +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 620] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 621] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 5 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 622] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 623] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 9 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ +[ReferenceModel-0/1] 2025-11-19 07:54:32 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:32 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:32 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:32 INFO [GC] Performing periodic GC collection took 0.00 seconds + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 624] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 5 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 625] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 264, Trainable tokens: 19 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 20, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100 +✓ 16/17 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 626] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 627] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 7 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:33 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:33 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 628] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 629] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 9 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 629] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 630] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 630] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 631] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:33 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:33 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:33 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:34 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 632] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 633] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 634] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 635] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 2 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:34 INFO Completed weights push in 2.43 seconds +[Generator-0/1] 2025-11-19 07:54:34 INFO [Generator] Fetching weights for v24 to shared memory +[ReferenceModel-0/1] 2025-11-19 07:54:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +INFO 11-19 07:54:37 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:54:37 INFO Weight update completed (now v24) + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 636] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 637] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 10 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 8/9 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 638] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=23 +Dropping weights @ version 23 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 639] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:37 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 640] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 641] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 642] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 643] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:38 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 644] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 644] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 645] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropped weights @ version 23, took 0.98 seconds +WandbBackend: Logged 97 metrics at step 24 +=== [global_reduce] - METRICS STEP 24 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 92.0 + buffer/episodes_accepted: 92.0 + buffer/episodes_generated: 92.0 + buffer/evict/sum_episodes_evicted: 86.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.07766990291262135 + buffer/sample/avg_sampled_policy_age: 0.875 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0017822934314608574 + buffer_perf/sample/total_duration_max_s: 0.0017822934314608574 + episode/total_tokens: 226.5728155339806 + episode/turns: 1.029126213592233 + game/average_turns: 1.029126213592233 + game/env_reward: -0.1262135922330097 + game/games_played: 103.0 + game/invalid_action_penalty: 97.0 + game/invalid_action_rate: 0.9150943396226415 + game/missing_answer_tags: 97.0 + game/win_rate: 0.4174757281553398 + generator/generate/avg_tokens_generated: 3.688679245283019 + generator/generate/count_requests: 106.0 + generator/generate/count_sequences_completed: 106.0 + generator/generate/sum_tokens_generated: 391.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.5249488232657313 + generator_perf/_fetch_weights/total_duration_max_s: 1.5249488232657313 + generator_perf/generate/generate/duration_avg_s: 0.04048413231687725 + generator_perf/generate/generate/duration_max_s: 2.492949462890625 + generator_perf/generate/process_inputs/duration_avg_s: 0.0008329533575418982 + generator_perf/generate/process_inputs/duration_max_s: 0.001226688027381897 + generator_perf/generate/total_duration_avg_s: 0.04140402273137894 + generator_perf/generate/total_duration_max_s: 2.4943144228458403 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5236320244148374 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5236320244148374 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7456871019676328 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7456871019676328 + groups/rate_dropped: 0.11538461538461539 + main/continuous_rollouts/count_rollout_iterations: 23.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.20339824259281158 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.5860748207196593 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.024869409551763016 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.03713661152869463 + main_perf/continuous_rollouts/total_duration_avg_s: 0.23798207723750517 + main_perf/continuous_rollouts/total_duration_max_s: 2.6264417925849557 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.9813991012051702 + main_perf/continuous_training/drop_weights/duration_max_s: 0.9813991012051702 + main_perf/continuous_training/push_weights/duration_avg_s: 2.429871608503163 + main_perf/continuous_training/push_weights/duration_max_s: 2.429871608503163 + main_perf/continuous_training/total_duration_avg_s: 6.145335690118372 + main_perf/continuous_training/total_duration_max_s: 6.145335690118372 + main_perf/continuous_training/train_step/duration_avg_s: 0.17237443663179874 + main_perf/continuous_training/train_step/duration_max_s: 0.17237443663179874 + main_perf/continuous_training/update_weights/duration_avg_s: 2.5547139905393124 + main_perf/continuous_training/update_weights/duration_max_s: 2.5547139905393124 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.006975412368774414 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.006975412368774414 + reference_perf/forward/avg_sequence_length: 230.08695652173913 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.000143735912506995 + reference_perf/forward/compute_logprobs/duration_max_s: 0.000184609554708004 + reference_perf/forward/count_forward_passes: 23.0 + reference_perf/forward/forward/duration_avg_s: 0.016307405115145703 + reference_perf/forward/forward/duration_max_s: 0.026646296493709087 + reference_perf/forward/garbage_collection/duration_avg_s: 0.0004550352206696635 + reference_perf/forward/garbage_collection/duration_max_s: 0.0004919776692986488 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.2604682963827382 + reference_perf/forward/memory_peak_max_gb: 5.610745906829834 + reference_perf/forward/to_device/duration_avg_s: 0.00014502559181140816 + reference_perf/forward/to_device/duration_max_s: 0.0001544049009680748 + reference_perf/forward/total_duration_avg_s: 0.017052992611475613 + reference_perf/forward/total_duration_max_s: 0.027436724863946438 + rl_trainer/avg_loss: 0.8482416868209839 + rl_trainer/learning_rate: 9.779779779779781e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005859695374965668 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005859695374965668 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005292827263474464 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005292827263474464 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.428275005891919 + rl_trainer_perf/push_weights/total_duration_max_s: 2.428275005891919 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.42715656850487 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.42715656850487 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1475064978003502 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.1475064978003502 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003205433487892151 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003205433487892151 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018079718574881554 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018079718574881554 + rl_trainer_perf/step/total_duration_avg_s: 0.16879414394497871 + rl_trainer_perf/step/total_duration_max_s: 0.16879414394497871 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:54:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:38 INFO Pushing weights for policy version 25 +[ReferenceModel-0/1] 2025-11-19 07:54:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 24: Starting training +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 646] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 647] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 8 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 648] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 223, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 6, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 6, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 648] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 649] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +[ReferenceModel-0/1] 2025-11-19 07:54:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:39 INFO [GC] Performing periodic GC collection took 0.00 seconds +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 650] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 651] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 652] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 653] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100[ReferenceModel-0/1] 2025-11-19 07:54:39 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:39 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:39 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:39 INFO [GC] Performing periodic GC collection took 0.00 seconds + +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 654] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 8 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 655] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 656] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 657] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:40 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:40 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 657] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 658] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 658] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 659] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 660] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: Ace + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 661] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:40 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:40 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:40 INFO Completed weights push in 2.41 seconds +[Generator-0/1] 2025-11-19 07:54:40 INFO [Generator] Fetching weights for v25 to shared memory +INFO 11-19 07:54:43 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:54:43 INFO Weight update completed (now v25) +[ReferenceModel-0/1] 2025-11-19 07:54:43 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 661] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 662] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 663] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +Dropping weights @ version 24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 664] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 3 +Total tokens: 296, Trainable tokens: 28 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 14, Dealer: 10 + [4] assistant : HIT + [5] user : Hand: 20, Dealer: 10 + [6] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 4 non-trainable positions have target=-100 +✓ 24/25 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=24 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 665] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 9 + [2] assistant : + +--- Decoded all_token_ids --- +[ReferenceModel-0/1] 2025-11-19 07:54:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 665] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 666] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +Dropped weights @ version 24, took 0.74 seconds +[BUFFER ADD] Added 4/4 episodes with policy_v=25 +WandbBackend: Logged 97 metrics at step 25 +=== [global_reduce] - METRICS STEP 25 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 84.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.07207207207207207 + buffer/sample/avg_sampled_policy_age: 0.75 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.001718626357614994 + buffer_perf/sample/total_duration_max_s: 0.001718626357614994 + episode/total_tokens: 226.93975903614458 + episode/turns: 1.036144578313253 + game/average_turns: 1.036144578313253 + game/env_reward: -0.26506024096385544 + game/games_played: 83.0 + game/invalid_action_penalty: 77.0 + game/invalid_action_rate: 0.8953488372093024 + game/missing_answer_tags: 77.0 + game/win_rate: 0.3373493975903614 + generator/generate/avg_tokens_generated: 3.8488372093023258 + generator/generate/count_requests: 85.0 + generator/generate/count_sequences_completed: 86.0 + generator/generate/sum_tokens_generated: 331.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.6049573859199882 + generator_perf/_fetch_weights/total_duration_max_s: 1.6049573859199882 + generator_perf/generate/generate/duration_avg_s: 0.048409183746160454 + generator_perf/generate/generate/duration_max_s: 2.607205322265625 + generator_perf/generate/process_inputs/duration_avg_s: 0.000743727629614431 + generator_perf/generate/process_inputs/duration_max_s: 0.0018173760175704955 + generator_perf/generate/total_duration_avg_s: 0.049248930725193214 + generator_perf/generate/total_duration_max_s: 2.6091769702881575 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5718540539965034 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5718540539965034 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 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reference_perf/forward/forward/duration_avg_s: 0.042992301750928164 + reference_perf/forward/forward/duration_max_s: 0.45134954154491425 + reference_perf/forward/garbage_collection/duration_avg_s: 0.00045675295405089855 + reference_perf/forward/garbage_collection/duration_max_s: 0.0004867482930421829 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.26503950357437134 + reference_perf/forward/memory_peak_max_gb: 5.828093528747559 + reference_perf/forward/to_device/duration_avg_s: 0.00014211505185812712 + reference_perf/forward/to_device/duration_max_s: 0.00015268195420503616 + reference_perf/forward/total_duration_avg_s: 0.043734772014431655 + reference_perf/forward/total_duration_max_s: 0.45214543864130974 + rl_trainer/avg_loss: 0.574418306350708 + rl_trainer/learning_rate: 9.76976976976977e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005857683718204498 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005857683718204498 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005261087790131569 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005261087790131569 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.4085726235061884 + rl_trainer_perf/push_weights/total_duration_max_s: 2.4085726235061884 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.4074578629806638 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.4074578629806638 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1471840888261795 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.1471840888261795 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0028559528291225433 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0028559528291225433 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018097877502441406 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018097877502441406 + rl_trainer_perf/step/total_duration_avg_s: 0.16814030334353447 + rl_trainer_perf/step/total_duration_max_s: 0.16814030334353447 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:54:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:44 INFO Pushing weights for policy version 26 +[ReferenceModel-0/1] 2025-11-19 07:54:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 25: Starting training +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 667] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=25 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 668] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 5 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 668] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 669] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=25 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 670] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:45 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=25 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 671] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=25 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 672] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=25 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 673] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 3 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=25 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 674] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:45 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:46 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=25 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 675] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 675] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 676] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 676] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 677] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=25 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 678] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:46 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:46 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:46 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 678] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 679] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=25 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 680] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=25 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 681] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=25 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 682] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:46 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:46 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:46 INFO Completed weights push in 2.53 seconds +[Generator-0/1] 2025-11-19 07:54:46 INFO [Generator] Fetching weights for v26 to shared memory +INFO 11-19 07:54:49 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:54:49 INFO Weight update completed (now v26) +[ReferenceModel-0/1] 2025-11-19 07:54:49 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:49 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=25 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 683] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=25 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropping weights @ version 25 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 684] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=25 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 685] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 10 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 8/9 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 686] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:49 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:49 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:50 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 687] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 5 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 688] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 689] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 690] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 223, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:50 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +Dropped weights @ version 25, took 0.99 seconds +WandbBackend: Logged 97 metrics at step 26 +=== [global_reduce] - METRICS STEP 26 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 80.0 + buffer/episodes_accepted: 80.0 + buffer/episodes_generated: 80.0 + buffer/evict/sum_episodes_evicted: 89.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.09302325581395349 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + buffer_perf/sample/total_duration_avg_s: 0.001652517355978489 + buffer_perf/sample/total_duration_max_s: 0.001652517355978489 + episode/total_tokens: 225.57291666666666 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.20833333333333334 + game/games_played: 96.0 + game/invalid_action_penalty: 92.0 + game/invalid_action_rate: 0.9583333333333334 + game/missing_answer_tags: 92.0 + game/win_rate: 0.375 + generator/generate/avg_tokens_generated: 3.46875 + generator/generate/count_requests: 97.0 + generator/generate/count_sequences_completed: 96.0 + generator/generate/sum_tokens_generated: 333.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.5438792621716857 + generator_perf/_fetch_weights/total_duration_max_s: 1.5438792621716857 + generator_perf/generate/generate/duration_avg_s: 0.043237368971109406 + generator_perf/generate/generate/duration_max_s: 2.561840087890625 + generator_perf/generate/process_inputs/duration_avg_s: 0.0007984186669321691 + generator_perf/generate/process_inputs/duration_max_s: 0.0019166400432586669 + generator_perf/generate/total_duration_avg_s: 0.04414222397197349 + generator_perf/generate/total_duration_max_s: 2.5629611438810826 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5246995547786355 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5246995547786355 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7634591450914741 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7634591450914741 + groups/rate_dropped: 0.16666666666666666 + main/continuous_rollouts/count_rollout_iterations: 21.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.2065832382440567 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.6687162686139345 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04584864154458046 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.48388912808150053 + main_perf/continuous_rollouts/total_duration_avg_s: 0.25747132144868373 + main_perf/continuous_rollouts/total_duration_max_s: 2.709325097501278 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.9927137969061732 + main_perf/continuous_training/drop_weights/duration_max_s: 0.9927137969061732 + main_perf/continuous_training/push_weights/duration_avg_s: 2.535030568949878 + main_perf/continuous_training/push_weights/duration_max_s: 2.535030568949878 + main_perf/continuous_training/total_duration_avg_s: 6.298041297122836 + main_perf/continuous_training/total_duration_max_s: 6.298041297122836 + main_perf/continuous_training/train_step/duration_avg_s: 0.17976858373731375 + main_perf/continuous_training/train_step/duration_max_s: 0.17976858373731375 + main_perf/continuous_training/update_weights/duration_avg_s: 2.58673501200974 + main_perf/continuous_training/update_weights/duration_max_s: 2.58673501200974 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0037920037284493446 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0037920037284493446 + reference_perf/forward/avg_sequence_length: 226.8 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00014198990538716316 + reference_perf/forward/compute_logprobs/duration_max_s: 0.000154934823513031 + reference_perf/forward/count_forward_passes: 20.0 + reference_perf/forward/forward/duration_avg_s: 0.038798356475308535 + reference_perf/forward/forward/duration_max_s: 0.4752197554334998 + reference_perf/forward/garbage_collection/duration_avg_s: 0.0004542040638625622 + reference_perf/forward/garbage_collection/duration_max_s: 0.0004819808527827263 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.25674734115600584 + reference_perf/forward/memory_peak_max_gb: 5.386606216430664 + reference_perf/forward/to_device/duration_avg_s: 0.0001394276972860098 + reference_perf/forward/to_device/duration_max_s: 0.00015603657811880112 + reference_perf/forward/total_duration_avg_s: 0.03953566970303655 + reference_perf/forward/total_duration_max_s: 0.4759759232401848 + rl_trainer/avg_loss: 0.4604029655456543 + rl_trainer/learning_rate: 9.75975975975976e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005356734618544579 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005356734618544579 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005040839314460754 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005040839314460754 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.527177084237337 + rl_trainer_perf/push_weights/total_duration_max_s: 2.527177084237337 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.526133661158383 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.526133661158383 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.15582756232470274 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.15582756232470274 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209384441375732 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.002533133141696453 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.002533133141696453 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017695726826786995 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017695726826786995 + rl_trainer_perf/step/total_duration_avg_s: 0.17605832498520613 + rl_trainer_perf/step/total_duration_max_s: 0.17605832498520613 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:54:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:50 INFO Pushing weights for policy version 27 +[ReferenceModel-0/1] 2025-11-19 07:54:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 26: Starting training +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 691] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 10 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 8/9 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 692] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 693] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 223, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 5, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 5, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 694] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ +[ReferenceModel-0/1] 2025-11-19 07:54:51 INFO [GC] Performing periodic GC collection took 0.00 seconds + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 694] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 695] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 695] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 696] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 697] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 697] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 698] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 264, Trainable tokens: 19 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 20, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:51 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:51 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:51 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:51 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100 +✓ 16/17 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 699] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 700] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 701] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 702] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:51 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:52 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:52 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 703] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 703] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 704] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 2 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 705] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 706] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 7 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:52 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:52 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:52 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 707] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 707] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 708] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 709] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 710] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 6 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:53 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:53 INFO Completed weights push in 2.57 seconds +[Generator-0/1] 2025-11-19 07:54:53 INFO [Generator] Fetching weights for v27 to shared memory +[ReferenceModel-0/1] 2025-11-19 07:54:53 INFO [GC] Performing periodic GC collection took 0.00 seconds +INFO 11-19 07:54:55 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:54:55 INFO Weight update completed (now v27) +[ReferenceModel-0/1] 2025-11-19 07:54:55 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:56 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 711] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 6, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 6, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=26 +Dropping weights @ version 26 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 712] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 223, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 713] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 714] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:56 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 715] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 716] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 717] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +Dropped weights @ version 26, took 0.79 seconds +WandbBackend: Logged 97 metrics at step 27 +=== [global_reduce] - METRICS STEP 27 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 84.0 + buffer/episodes_accepted: 84.0 + buffer/episodes_generated: 84.0 + buffer/evict/sum_episodes_evicted: 81.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.09411764705882353 + buffer/sample/avg_sampled_policy_age: 0.625 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0019361665472388268 + buffer_perf/sample/total_duration_max_s: 0.0019361665472388268 + episode/total_tokens: 226.16666666666666 + episode/turns: 1.0185185185185186 + game/average_turns: 1.0185185185185186 + game/env_reward: -0.24074074074074073 + game/games_played: 108.0 + game/invalid_action_penalty: 104.0 + game/invalid_action_rate: 0.9454545454545454 + game/missing_answer_tags: 104.0 + game/win_rate: 0.37037037037037035 + generator/generate/avg_tokens_generated: 3.5545454545454547 + generator/generate/count_requests: 109.0 + generator/generate/count_sequences_completed: 110.0 + generator/generate/sum_tokens_generated: 391.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.5462477765977383 + generator_perf/_fetch_weights/total_duration_max_s: 1.5462477765977383 + generator_perf/generate/generate/duration_avg_s: 0.03982834991108288 + generator_perf/generate/generate/duration_max_s: 2.549236572265625 + generator_perf/generate/process_inputs/duration_avg_s: 0.0007667173793370073 + generator_perf/generate/process_inputs/duration_max_s: 0.0014696320295333862 + generator_perf/generate/total_duration_avg_s: 0.04069303354476368 + generator_perf/generate/total_duration_max_s: 2.5508157722949982 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5355214327573776 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5355214327573776 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7551121516153216 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7551121516153216 + groups/rate_dropped: 0.18518518518518517 + main/continuous_rollouts/count_rollout_iterations: 21.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.20206837520863002 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.643944545648992 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.023687386752239296 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.03917731810361147 + main_perf/continuous_rollouts/total_duration_avg_s: 0.23320803243237045 + main_perf/continuous_rollouts/total_duration_max_s: 2.6804082561284304 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.792689991183579 + main_perf/continuous_training/drop_weights/duration_max_s: 0.792689991183579 + main_perf/continuous_training/push_weights/duration_avg_s: 2.5712670041248202 + main_perf/continuous_training/push_weights/duration_max_s: 2.5712670041248202 + main_perf/continuous_training/total_duration_avg_s: 6.1620302982628345 + 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reference_perf/forward/garbage_collection/duration_avg_s: 0.00037751604048978714 + reference_perf/forward/garbage_collection/duration_max_s: 0.00045481976121664047 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.26053158442179364 + reference_perf/forward/memory_peak_max_gb: 5.610745906829834 + reference_perf/forward/to_device/duration_avg_s: 0.00010646351923545201 + reference_perf/forward/to_device/duration_max_s: 0.00011546537280082703 + reference_perf/forward/total_duration_avg_s: 0.01583196604180904 + reference_perf/forward/total_duration_max_s: 0.016951668076217175 + rl_trainer/avg_loss: 0.5173177123069763 + rl_trainer/learning_rate: 9.749749749749751e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005936911329627037 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005936911329627037 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005250666290521622 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005250666290521622 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.5695806965231895 + rl_trainer_perf/push_weights/total_duration_max_s: 2.5695806965231895 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.5684599252417684 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.5684599252417684 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14630152005702257 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.14630152005702257 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003153514117002487 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003153514117002487 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018155714496970177 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018155714496970177 + rl_trainer_perf/step/total_duration_avg_s: 0.16761346254497766 + rl_trainer_perf/step/total_duration_max_s: 0.16761346254497766 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:54:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:56 INFO Pushing weights for policy version 28 +[ReferenceModel-0/1] 2025-11-19 07:54:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:57 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 27: Starting training +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 718] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 718] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 719] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 4 +Total tokens: 323, Trainable tokens: 37 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 7 + [2] assistant : HIT + [3] user : Hand: 13, Dealer: 7 + [4] assistant : HIT + [5] user : Hand: 16, Dealer: 7 + [6] assistant : HIT + [7] user : Hand: 19, Dealer: 7 + [8] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +HIT<|im_end|> +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 5 non-trainable positions have target=-100 +✓ 32/33 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 720] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 721] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:57 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:57 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:58 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:58 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 722] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 723] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 3 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 724] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 725] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:58 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:58 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:58 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:58 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 726] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 727] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 3 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 728] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 729] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 6, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 6, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:58 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:59 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:59 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:54:59 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:54:59 INFO Completed weights push in 2.67 seconds +[Generator-0/1] 2025-11-19 07:54:59 INFO [Generator] Fetching weights for v28 to shared memory + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 730] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 6 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 731] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 732] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 733] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 3 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:54:59 INFO [GC] Performing periodic GC collection took 0.00 seconds +INFO 11-19 07:55:02 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:55:02 INFO Weight update completed (now v28) +[ReferenceModel-0/1] 2025-11-19 07:55:02 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:02 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=27 +Dropping weights @ version 27 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 734] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 734] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 735] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 736] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 737] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 261, Trainable tokens: 18 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 3 + [2] assistant : HIT + [3] user : Hand: 13, Dealer: 3 + [4] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:02 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:02 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100 +✓ 15/16 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 738] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropped weights @ version 27, took 0.92 seconds +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +WandbBackend: Logged 97 metrics at step 28 +=== [global_reduce] - METRICS STEP 28 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 80.0 + buffer/episodes_accepted: 80.0 + buffer/episodes_generated: 80.0 + buffer/evict/sum_episodes_evicted: 62.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.07476635514018691 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + buffer_perf/sample/total_duration_avg_s: 0.001580897718667984 + buffer_perf/sample/total_duration_max_s: 0.001580897718667984 + episode/total_tokens: 227.49425287356323 + episode/turns: 1.0574712643678161 + game/average_turns: 1.0574712643678161 + game/env_reward: -0.04597701149425287 + game/games_played: 87.0 + game/invalid_action_penalty: 83.0 + game/invalid_action_rate: 0.9021739130434783 + game/missing_answer_tags: 83.0 + game/win_rate: 0.4367816091954023 + generator/generate/avg_tokens_generated: 3.795698924731183 + generator/generate/count_requests: 93.0 + generator/generate/count_sequences_completed: 93.0 + generator/generate/sum_tokens_generated: 353.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.6833785427734256 + generator_perf/_fetch_weights/total_duration_max_s: 1.6833785427734256 + generator_perf/generate/generate/duration_avg_s: 0.046288689141632415 + generator_perf/generate/generate/duration_max_s: 2.569706298828125 + generator_perf/generate/process_inputs/duration_avg_s: 0.0009384278687097692 + generator_perf/generate/process_inputs/duration_max_s: 0.001597216010093689 + generator_perf/generate/total_duration_avg_s: 0.047328831591014996 + generator_perf/generate/total_duration_max_s: 2.5708554188162087 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.667485861107707 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.667485861107707 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.6778389969840646 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.6778389969840646 + groups/rate_dropped: 0.09523809523809523 + main/continuous_rollouts/count_rollout_iterations: 20.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.23785201019861482 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.67082264367491 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04434377471916377 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.44643252063542604 + main_perf/continuous_rollouts/total_duration_avg_s: 0.2915069208141755 + main_perf/continuous_rollouts/total_duration_max_s: 2.67378759291023 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.9242741037160158 + main_perf/continuous_training/drop_weights/duration_max_s: 0.9242741037160158 + main_perf/continuous_training/push_weights/duration_avg_s: 2.674875734373927 + main_perf/continuous_training/push_weights/duration_max_s: 2.674875734373927 + main_perf/continuous_training/total_duration_avg_s: 6.391945952549577 + main_perf/continuous_training/total_duration_max_s: 6.391945952549577 + main_perf/continuous_training/train_step/duration_avg_s: 0.1785513274371624 + main_perf/continuous_training/train_step/duration_max_s: 0.1785513274371624 + main_perf/continuous_training/update_weights/duration_avg_s: 2.6098781526088715 + main_perf/continuous_training/update_weights/duration_max_s: 2.6098781526088715 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.004364180378615856 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.004364180378615856 + reference_perf/forward/avg_sequence_length: 235.3684210526316 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00011617797426879405 + reference_perf/forward/compute_logprobs/duration_max_s: 0.00016262754797935486 + reference_perf/forward/count_forward_passes: 19.0 + reference_perf/forward/forward/duration_avg_s: 0.03655684879049659 + reference_perf/forward/forward/duration_max_s: 0.43757187854498625 + reference_perf/forward/garbage_collection/duration_avg_s: 0.00038274927064776423 + reference_perf/forward/garbage_collection/duration_max_s: 0.0004753824323415756 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.26597349643707274 + reference_perf/forward/memory_peak_max_gb: 6.011480808258057 + reference_perf/forward/to_device/duration_avg_s: 0.00011727893725037575 + reference_perf/forward/to_device/duration_max_s: 0.00016065314412117004 + reference_perf/forward/total_duration_avg_s: 0.03717487729154527 + reference_perf/forward/total_duration_max_s: 0.4381892355158925 + rl_trainer/avg_loss: 0.40751171112060547 + rl_trainer/learning_rate: 9.73973973973974e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005134893581271172 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005134893581271172 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.00048592686653137207 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.00048592686653137207 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.6712613003328443 + rl_trainer_perf/push_weights/total_duration_max_s: 2.6712613003328443 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.6702595595270395 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.6702595595270395 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1548011852428317 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.1548011852428317 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0024487245827913284 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0024487245827913284 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017838754691183567 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017838754691183567 + rl_trainer_perf/step/total_duration_avg_s: 0.17509095836430788 + rl_trainer_perf/step/total_duration_max_s: 0.17509095836430788 +============================== + +[ReferenceModel-0/1] 2025-11-19 07:55:03 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:55:03 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:03 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:55:03 INFO Pushing weights for policy version 29 +[ReferenceModel-0/1] 2025-11-19 07:55:03 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ +[ROLLOUT 739] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[TRAINING] Step 28: Starting training +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 740] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 4 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 741] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 742] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 742] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags![ReferenceModel-0/1] 2025-11-19 07:55:03 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:03 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:03 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 743] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 744] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 745] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 746] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 5 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ +[ReferenceModel-0/1] 2025-11-19 07:55:03 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:04 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:04 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:04 INFO [GC] Performing periodic GC collection took 0.00 seconds + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 747] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 2 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 748] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 749] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 4, Dealer: 5 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 4, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 750] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:04 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:04 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 751] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 752] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 752] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 753] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 753] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 754] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:05 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:05 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:05 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 754] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 755] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 756] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 757] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 19 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 9 + [2] assistant : HIT + [3] user : Hand: 15, Dealer: 9 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100 +✓ 16/17 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 758] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:05 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:55:05 INFO Completed weights push in 2.56 seconds +[Generator-0/1] 2025-11-19 07:55:05 INFO [Generator] Fetching weights for v29 to shared memory +INFO 11-19 07:55:08 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:55:08 INFO Weight update completed (now v29) +[ReferenceModel-0/1] 2025-11-19 07:55:08 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:08 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropping weights @ version 28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 759] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=28 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 760] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 760] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 761] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 762] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 3 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:08 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:08 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:08 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:09 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 763] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 764] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 765] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 766] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 8 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:09 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +Dropped weights @ version 28, took 1.03 seconds +WandbBackend: Logged 95 metrics at step 29 +=== [global_reduce] - METRICS STEP 29 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 88.0 + buffer/episodes_accepted: 88.0 + buffer/episodes_generated: 88.0 + buffer/evict/sum_episodes_evicted: 87.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.08 + buffer/sample/avg_sampled_policy_age: 0.875 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.001874755136668682 + buffer_perf/sample/total_duration_max_s: 0.001874755136668682 + episode/total_tokens: 226.28440366972478 + episode/turns: 1.018348623853211 + game/average_turns: 1.018348623853211 + game/env_reward: -0.2018348623853211 + game/games_played: 109.0 + game/invalid_action_penalty: 106.0 + game/invalid_action_rate: 0.954954954954955 + game/missing_answer_tags: 106.0 + game/win_rate: 0.3669724770642202 + generator/generate/avg_tokens_generated: 3.609090909090909 + generator/generate/count_requests: 110.0 + generator/generate/count_sequences_completed: 110.0 + generator/generate/sum_tokens_generated: 397.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.4885307308286428 + generator_perf/_fetch_weights/total_duration_max_s: 1.4885307308286428 + generator_perf/generate/generate/duration_avg_s: 0.03924553737640383 + generator_perf/generate/generate/duration_max_s: 2.44056494140625 + generator_perf/generate/process_inputs/duration_avg_s: 0.0009150900347666307 + generator_perf/generate/process_inputs/duration_max_s: 0.002942784070968628 + generator_perf/generate/total_duration_avg_s: 0.040262466537954546 + generator_perf/generate/total_duration_max_s: 2.4414569733813405 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.488700338639319 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.488700338639319 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.6775819966569543 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.6775819966569543 + groups/rate_dropped: 0.17857142857142858 + main/continuous_rollouts/count_rollout_iterations: 22.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.1970841978090229 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.5292297583073378 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.02430191771550612 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.027243913151323795 + main_perf/continuous_rollouts/total_duration_avg_s: 0.22887699457782287 + main_perf/continuous_rollouts/total_duration_max_s: 2.572290947660804 + main_perf/continuous_training/drop_weights/duration_avg_s: 1.0265387240797281 + main_perf/continuous_training/drop_weights/duration_max_s: 1.0265387240797281 + main_perf/continuous_training/push_weights/duration_avg_s: 2.5619416274130344 + main_perf/continuous_training/push_weights/duration_max_s: 2.5619416274130344 + main_perf/continuous_training/total_duration_avg_s: 6.1912352573126554 + main_perf/continuous_training/total_duration_max_s: 6.1912352573126554 + main_perf/continuous_training/train_step/duration_avg_s: 0.17142716888338327 + main_perf/continuous_training/train_step/duration_max_s: 0.17142716888338327 + main_perf/continuous_training/update_weights/duration_avg_s: 2.427398565225303 + main_perf/continuous_training/update_weights/duration_max_s: 2.427398565225303 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.003927619196474552 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.003927619196474552 + reference_perf/forward/avg_sequence_length: 229.6086956521739 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00014800646088340065 + reference_perf/forward/compute_logprobs/duration_max_s: 0.00018148496747016907 + reference_perf/forward/count_forward_passes: 23.0 + reference_perf/forward/forward/duration_avg_s: 0.016140712636776945 + reference_perf/forward/forward/duration_max_s: 0.018939494155347347 + reference_perf/forward/garbage_collection/duration_avg_s: 0.00046783461320129305 + reference_perf/forward/garbage_collection/duration_max_s: 0.0005325376987457275 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.26006111231717194 + reference_perf/forward/memory_peak_max_gb: 5.597161769866943 + reference_perf/forward/to_device/duration_avg_s: 0.00014633566818454048 + reference_perf/forward/to_device/duration_max_s: 0.00015910062938928604 + reference_perf/forward/total_duration_avg_s: 0.01690476629036394 + reference_perf/forward/total_duration_max_s: 0.01981398928910494 + rl_trainer/avg_loss: -0.2407599538564682 + rl_trainer/learning_rate: 9.729729729729732e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005844272673130035 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005844272673130035 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0006524994969367981 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0006524994969367981 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.5602420791983604 + rl_trainer_perf/push_weights/total_duration_max_s: 2.5602420791983604 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.559003178961575 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.559003178961575 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14757871814072132 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.14757871814072132 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0026196837425231934 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0026196837425231934 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01774454116821289 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01774454116821289 + rl_trainer_perf/step/total_duration_avg_s: 0.1679453868418932 + rl_trainer_perf/step/total_duration_max_s: 0.1679453868418932 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:55:09 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:09 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:55:09 INFO Pushing weights for policy version 30 +[ReferenceModel-0/1] 2025-11-19 07:55:09 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 29: Starting training +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 767] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 768] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 768] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 769] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 770] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:09 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:10 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 770] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 771] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 259, Trainable tokens: 19 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: Ace + [2] assistant : HIT + [3] user : Hand: 16, Dealer: Ace + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 16, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 3 non-trainable positions have target=-100 +✓ 16/17 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 772] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 772] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 773] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 774] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:10 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:10 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:11 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:11 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 775] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 776] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 10 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 8/9 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 777] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 778] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:11 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:11 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:11 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:11 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:55:11 INFO Completed weights push in 2.47 seconds +[Generator-0/1] 2025-11-19 07:55:11 INFO [Generator] Fetching weights for v30 to shared memory +INFO 11-19 07:55:14 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:55:14 INFO Weight update completed (now v30) + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 779] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 780] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 781] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 3 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Dropping weights @ version 29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 782] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:14 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:14 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:14 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:14 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=29 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 783] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 784] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 785] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 786] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:15 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 787] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 788] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +Dropped weights @ version 29, took 1.02 seconds +WandbBackend: Logged 95 metrics at step 30 +=== [global_reduce] - METRICS STEP 30 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 80.0 + buffer/episodes_accepted: 80.0 + buffer/episodes_generated: 80.0 + buffer/evict/sum_episodes_evicted: 85.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.07766990291262135 + buffer/sample/avg_sampled_policy_age: 0.75 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.001812199130654335 + buffer_perf/sample/total_duration_max_s: 0.001812199130654335 + episode/total_tokens: 225.85555555555555 + episode/turns: 1.011111111111111 + game/average_turns: 1.011111111111111 + game/env_reward: -0.1 + game/games_played: 90.0 + game/invalid_action_penalty: 87.0 + game/invalid_action_rate: 0.9560439560439561 + game/missing_answer_tags: 87.0 + game/win_rate: 0.4444444444444444 + generator/generate/avg_tokens_generated: 3.5384615384615383 + generator/generate/count_requests: 92.0 + generator/generate/count_sequences_completed: 91.0 + generator/generate/sum_tokens_generated: 322.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.6203285669907928 + generator_perf/_fetch_weights/total_duration_max_s: 1.6203285669907928 + generator_perf/generate/generate/duration_avg_s: 0.04544030944069664 + generator_perf/generate/generate/duration_max_s: 2.609172607421875 + generator_perf/generate/process_inputs/duration_avg_s: 0.0008046171419568111 + generator_perf/generate/process_inputs/duration_max_s: 0.0014885120391845703 + generator_perf/generate/total_duration_avg_s: 0.046350206231179 + generator_perf/generate/total_duration_max_s: 2.6101351994276047 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.620425152592361 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.620425152592361 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7070877412334085 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7070877412334085 + groups/rate_dropped: 0.13636363636363635 + main/continuous_rollouts/count_rollout_iterations: 20.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.22028401141743298 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.703076757490635 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.045880296966060996 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.45799152832478285 + main_perf/continuous_rollouts/total_duration_avg_s: 0.27502521155806986 + main_perf/continuous_rollouts/total_duration_max_s: 2.743109573610127 + main_perf/continuous_training/drop_weights/duration_avg_s: 1.0205280045047402 + main_perf/continuous_training/drop_weights/duration_max_s: 1.0205280045047402 + main_perf/continuous_training/push_weights/duration_avg_s: 2.4755190815776587 + main_perf/continuous_training/push_weights/duration_max_s: 2.4755190815776587 + main_perf/continuous_training/total_duration_avg_s: 6.27009211294353 + main_perf/continuous_training/total_duration_max_s: 6.27009211294353 + main_perf/continuous_training/train_step/duration_avg_s: 0.16904449369758368 + main_perf/continuous_training/train_step/duration_max_s: 0.16904449369758368 + main_perf/continuous_training/update_weights/duration_avg_s: 2.6014223247766495 + main_perf/continuous_training/update_weights/duration_max_s: 2.6014223247766495 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0035758651793003082 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0035758651793003082 + reference_perf/forward/avg_sequence_length: 228.3684210526316 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00014797546900808812 + reference_perf/forward/compute_logprobs/duration_max_s: 0.0001702588051557541 + reference_perf/forward/count_forward_passes: 19.0 + reference_perf/forward/forward/duration_avg_s: 0.037528987228870395 + reference_perf/forward/forward/duration_max_s: 0.44930229522287846 + reference_perf/forward/garbage_collection/duration_avg_s: 0.00046409694477915763 + reference_perf/forward/garbage_collection/duration_max_s: 0.0005253469571471214 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.25844540596008303 + reference_perf/forward/memory_peak_max_gb: 5.576785564422607 + reference_perf/forward/to_device/duration_avg_s: 0.00014827349223196508 + reference_perf/forward/to_device/duration_max_s: 0.0001652110368013382 + reference_perf/forward/total_duration_avg_s: 0.03829113738611341 + reference_perf/forward/total_duration_max_s: 0.4500983227044344 + rl_trainer/avg_loss: 0.636593222618103 + rl_trainer/learning_rate: 9.719719719719721e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005173338577151299 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005173338577151299 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0004980862140655518 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0004980862140655518 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.473774094134569 + rl_trainer_perf/push_weights/total_duration_max_s: 2.473774094134569 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.4727563904598355 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.4727563904598355 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14606546238064766 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.14606546238064766 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0024613849818706512 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0024613849818706512 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017469022423028946 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017469022423028946 + rl_trainer_perf/step/total_duration_avg_s: 0.16599842347204685 + rl_trainer_perf/step/total_duration_max_s: 0.16599842347204685 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:55:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:55:15 INFO Pushing weights for policy version 31 +[ReferenceModel-0/1] 2025-11-19 07:55:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 30: Starting training +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 789] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 3 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 790] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 8 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 791] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 5 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 791] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 792] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 5 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ +[ReferenceModel-0/1] 2025-11-19 07:55:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:16 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:16 INFO [GC] Performing periodic GC collection took 0.00 seconds + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 793] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 5, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 5, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 793] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 794] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 795] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 796] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:16 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 796] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 797] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 797] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 798] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 798] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 799] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 800] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:16 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:16 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:17 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:17 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 801] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 8 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 802] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 2 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 803] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 8 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 804] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:17 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:17 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:17 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:17 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 805] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 806] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 807] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 7 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 808] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:17 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:18 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:18 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:55:18 INFO Completed weights push in 2.66 seconds +[Generator-0/1] 2025-11-19 07:55:18 INFO [Generator] Fetching weights for v31 to shared memory +INFO 11-19 07:55:21 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-19 07:55:21 INFO Weight update completed (now v31) +[ReferenceModel-0/1] 2025-11-19 07:55:21 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 809] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 810] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=30 +Dropping weights @ version 30 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 811] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 6, Dealer: 5 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 6, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 812] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:21 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 813] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 814] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 814] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 815] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 816] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 10 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:22 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 8/9 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +Dropped weights @ version 30, took 0.99 seconds +WandbBackend: Logged 95 metrics at step 31 +=== [global_reduce] - METRICS STEP 31 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 88.0 + buffer/episodes_accepted: 88.0 + buffer/episodes_generated: 88.0 + buffer/evict/sum_episodes_evicted: 83.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.08 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + buffer_perf/sample/total_duration_avg_s: 0.001707601360976696 + buffer_perf/sample/total_duration_max_s: 0.001707601360976696 + episode/total_tokens: 225.8053097345133 + episode/turns: 1.008849557522124 + game/average_turns: 1.008849557522124 + game/env_reward: -0.3893805309734513 + game/games_played: 113.0 + game/invalid_action_penalty: 111.0 + game/invalid_action_rate: 0.9736842105263158 + game/missing_answer_tags: 111.0 + game/win_rate: 0.2920353982300885 + generator/generate/avg_tokens_generated: 3.473684210526316 + generator/generate/count_requests: 114.0 + generator/generate/count_sequences_completed: 114.0 + generator/generate/sum_tokens_generated: 396.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.6927804071456194 + generator_perf/_fetch_weights/total_duration_max_s: 1.6927804071456194 + generator_perf/generate/generate/duration_avg_s: 0.04142771930025336 + generator_perf/generate/generate/duration_max_s: 2.826129638671875 + generator_perf/generate/process_inputs/duration_avg_s: 0.0009122133360227995 + generator_perf/generate/process_inputs/duration_max_s: 0.0025216000080108643 + generator_perf/generate/total_duration_avg_s: 0.04243657796975152 + generator_perf/generate/total_duration_max_s: 2.82750723862648 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.692924545146525 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.692924545146525 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.8192065022885799 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.8192065022885799 + groups/rate_dropped: 0.21428571428571427 + main/continuous_rollouts/count_rollout_iterations: 22.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.20681683789007366 + main_perf/continuous_rollouts/play_games/duration_max_s: 2.9316903883591294 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.02411909837445075 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.027305787429213524 + main_perf/continuous_rollouts/total_duration_avg_s: 0.2368702655658126 + main_perf/continuous_rollouts/total_duration_max_s: 2.969471827149391 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.9942124700173736 + main_perf/continuous_training/drop_weights/duration_max_s: 0.9942124700173736 + main_perf/continuous_training/push_weights/duration_avg_s: 2.6672699758782983 + main_perf/continuous_training/push_weights/duration_max_s: 2.6672699758782983 + main_perf/continuous_training/total_duration_avg_s: 6.65787342377007 + main_perf/continuous_training/total_duration_max_s: 6.65787342377007 + main_perf/continuous_training/train_step/duration_avg_s: 0.17063911445438862 + main_perf/continuous_training/train_step/duration_max_s: 0.17063911445438862 + main_perf/continuous_training/update_weights/duration_avg_s: 2.8220941750332713 + main_perf/continuous_training/update_weights/duration_max_s: 2.8220941750332713 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0036557959392666817 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0036557959392666817 + reference_perf/forward/avg_sequence_length: 228.0909090909091 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.00014664622193033045 + reference_perf/forward/compute_logprobs/duration_max_s: 0.00017600692808628082 + reference_perf/forward/count_forward_passes: 22.0 + reference_perf/forward/forward/duration_avg_s: 0.016079753002321177 + reference_perf/forward/forward/duration_max_s: 0.017919136211276054 + reference_perf/forward/garbage_collection/duration_avg_s: 0.00046575873751531947 + reference_perf/forward/garbage_collection/duration_max_s: 0.000528380274772644 + reference_perf/forward/memory_delta_end_start_avg_gb: 0.2582087083296342 + reference_perf/forward/memory_peak_max_gb: 5.610745906829834 + reference_perf/forward/to_device/duration_avg_s: 0.000133099669421261 + reference_perf/forward/to_device/duration_max_s: 0.0001629972830414772 + reference_perf/forward/total_duration_avg_s: 0.016827075361189516 + reference_perf/forward/total_duration_max_s: 0.01878220494836569 + rl_trainer/avg_loss: 0.25655466318130493 + rl_trainer/learning_rate: 9.70970970970971e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005216309800744057 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005216309800744057 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005156630650162697 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005156630650162697 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.664330226369202 + rl_trainer_perf/push_weights/total_duration_max_s: 2.664330226369202 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.6632901979610324 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.6632901979610324 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14505780301988125 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.14505780301988125 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 + rl_trainer_perf/step/memory_peak_max_gb: 15.209384441375732 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0025143446400761604 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0025143446400761604 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017873156815767288 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017873156815767288 + rl_trainer_perf/step/total_duration_avg_s: 0.16544723697006702 + rl_trainer_perf/step/total_duration_max_s: 0.16544723697006702 +============================== + +[TitanTrainer-0/1] 2025-11-19 07:55:22 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:22 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-19 07:55:22 INFO Pushing weights for policy version 32 +[ReferenceModel-0/1] 2025-11-19 07:55:22 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:22 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 31: Starting training + +================================================================================ +[ROLLOUT 817] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 818] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 819] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 819] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 820] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31[ReferenceModel-0/1] 2025-11-19 07:55:22 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:22 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:23 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 821] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 8 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 822] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 823] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 824] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ +[ReferenceModel-0/1] 2025-11-19 07:55:23 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:23 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:23 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:23 INFO [GC] Performing periodic GC collection took 0.00 seconds + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 825] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 826] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: Ace + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 827] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 828] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:23 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:23 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:24 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 829] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 830] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 7 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 830] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 831] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 832] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +[ReferenceModel-0/1] 2025-11-19 07:55:24 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:24 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:24 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-19 07:55:24 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 833] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 834] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 835] Episode 0 Debug Info +================================================================================ +Reward: -47.0, Truncated: False, Turns: 1 +Total tokens: 225, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[BUFFER ADD] Added 4/4 episodes with policy_v=31 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 836] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 5 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> +[TitanTrainer-0/1] 2025-11-19 07:55:24 INFO Completed weights push in 2.66 seconds +[Generator-0/1] 2025-11-19 07:55:24 INFO [Generator] Fetching weights for v32 to shared memory +Traceback (most recent call last): + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run + return self._loop.run_until_complete(task) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete + return future.result() + ^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 35, in main + await bootstrap_main() +asyncio.exceptions.CancelledError + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "", line 198, in _run_module_as_main + File "", line 88, in _run_code + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 82, in + invoke_main() # pragma: no cover + ^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 75, in invoke_main + asyncio.run(main()) + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 195, in run + return runner.run(main) + ^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 123, in run + raise KeyboardInterrupt() +KeyboardInterrupt +Traceback (most recent call last): + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run +Traceback (most recent call last): +Traceback (most recent call last): + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run + return self._loop.run_until_complete(task) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete + return future.result() + ^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 35, in main + await bootstrap_main() +asyncio.exceptions.CancelledError + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "", line 198, in _run_module_as_main + File "", line 88, in _run_code + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 82, in + invoke_main() # pragma: no cover + ^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 75, in invoke_main + asyncio.run(main()) + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 195, in run + return runner.run(main) + ^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 123, in run + raise KeyboardInterrupt() +KeyboardInterrupt +Traceback (most recent call last): + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run + return self._loop.run_until_complete(task) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete + return future.result() + ^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 35, in main + await bootstrap_main() +asyncio.exceptions.CancelledError + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "", line 198, in _run_module_as_main + File "", line 88, in _run_code + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 82, in + invoke_main() # pragma: no cover +Traceback (most recent call last): + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run +Traceback (most recent call last): + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run + return self._loop.run_until_complete(task) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete + return future.result() + ^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 35, in main + await bootstrap_main() +asyncio.exceptions.CancelledError + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "", line 198, in _run_module_as_main + File "", line 88, in _run_code + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 82, in + invoke_main() # pragma: no cover + ^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 75, in invoke_main + asyncio.run(main()) + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 195, in run + return runner.run(main) + ^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 123, in run + raise KeyboardInterrupt() +KeyboardInterrupt + return self._loop.run_until_complete(task) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete + return future.result() + ^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 35, in main + await bootstrap_main() +asyncio.exceptions.CancelledError + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "", line 198, in _run_module_as_main + File "", line 88, in _run_code + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 82, in + invoke_main() # pragma: no cover + ^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 75, in invoke_main + asyncio.run(main()) + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 195, in run + return runner.run(main) + ^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 123, in run +Traceback (most recent call last): + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run + return self._loop.run_until_complete(task) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete + return future.result() + ^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 35, in main + await bootstrap_main() +asyncio.exceptions.CancelledError + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "", line 198, in _run_module_as_main + File "", line 88, in _run_code + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 82, in + invoke_main() # pragma: no cover + ^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 75, in invoke_main + asyncio.run(main()) + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 195, in run + return runner.run(main) + ^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 123, in run + raise KeyboardInterrupt() +KeyboardInterrupt +INFO: Shutting down +INFO: Waiting for application shutdown. +INFO: Application shutdown complete. +INFO: Finished server process [3539366] + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 3/4 trainable positions have valid targets +[ROLLOUT 836] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 837] Episode 0 Debug Info +================================================================================ +Reward: -51.0, Truncated: False, Turns: 1 +Total tokens: 224, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> + +================================================================================ + + +--- Target Validation --- +✓ All 2 non-trainable positions have target=-100 +✓ 2/3 trainable positions have valid targets +[ROLLOUT 837] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: 'HIT...' +[ENV] Treating as STAND +Shutting down... (this may take a few seconds) +Timeout waiting for rollouts; forcing cancellation... +Shutting down Forge actors... +Shutting down metric logger... +Metric logging fetcher shutdown timed out likely due to the child process being terminated before the parent. +wandb: updating run metadata +wandb: uploading history steps 30-30, summary, console lines 61733-61733 +wandb: +wandb: Run history: +wandb: buffer/acceptance_rate ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ +wandb: buffer/add/count_episodes_added ▃▃▁▆▇█▆▆▆▆█▅▄▆▆▆▆▆▅▅▆▅▅▆▄▅▅▅▅▅▅ +wandb: buffer/episodes_accepted ▃▃▁▆▇█▆▆▆▆█▅▄▆▆▆▆▆▅▅▆▅▅▆▄▅▅▅▅▅▅ +wandb: buffer/episodes_generated ▃▃▁▆▇█▆▆▆▆█▅▄▆▆▆▆▆▅▅▆▅▅▆▄▅▅▅▅▅▅ +wandb: buffer/evict/sum_episodes_evicted ▁▁▄▃▂▆██▆▆▇▇█▆▅▆▆▆▇▆▆▆▆▆▅▆▅▄▆▆▅ +wandb: buffer/rate_rejected_truncated ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ +wandb: buffer/sample/avg_data_utilization █▂▂▄▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ +wandb: buffer/sample/avg_sampled_policy_age ▁█▇█▅█▇▇█▇▆▆▅▆█▇▇▆▅▅█▅▆▇▆█▅█▇▆█ +wandb: buffer/sample/count_sample_requests █▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ +wandb: buffer/sample/max_sampled_policy_age ▁██████████████████████████████ +wandb: +87 ... +wandb: +wandb: Run summary: +wandb: buffer/acceptance_rate 1 +wandb: buffer/add/count_episodes_added 88 +wandb: buffer/episodes_accepted 88 +wandb: buffer/episodes_generated 88 +wandb: buffer/evict/sum_episodes_evicted 83 +wandb: buffer/rate_rejected_truncated 0 +wandb: buffer/sample/avg_data_utilization 0.08 +wandb: buffer/sample/avg_sampled_policy_age 1 +wandb: buffer/sample/count_sample_requests 1 +wandb: buffer/sample/max_sampled_policy_age 1 +wandb: +87 ... +wandb: +wandb: 🚀 View run sunny-disco-70 at: https://wandb.ai/cabernet-team/blackjack-grpo/runs/o4d5i6sg +wandb: ⭐️ View project at: https://wandb.ai/cabernet-team/blackjack-grpo +wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s) +wandb: Find logs at: ./wandb/run-20251119_075029-o4d5i6sg/logs +WandbBackend global_reduce: Finished run +Shutting down provisioner.. +Shutting down 2 service(s) and 4 actor(s)... +Health loop stopped gracefully. +Traceback (most recent call last): + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run + return self._loop.run_until_complete(task) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete + return future.result() + ^^^^^^^^^^^^^^^ + File "/home/felipemello/forge/apps/blackjack/main_v2.py", line 1504, in main + await training_task + File "/home/felipemello/forge/apps/blackjack/main_v2.py", line 1478, in continuous_training + await policy.update_weights.fanout(training_step) + File "/home/felipemello/forge/src/forge/controller/service/interface.py", line 101, in fanout + result = await self.service.call_all(self.endpoint_name, *args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/felipemello/forge/src/forge/controller/service/service.py", line 231, in call_all + result = await request.future + ^^^^^^^^^^^^^^^^^^^^ +asyncio.exceptions.CancelledError + +During handling of the above exception, another exception occurred: + Traceback (most recent call last): - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/actor_mesh.py", line 935, in handle - result = await the_method(*args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/home/felipemello/forge/src/forge/actors/reference_model.py", line 191, in forward - logprobs = compute_logprobs(logits, input_ids[:, max_req_tokens:]) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/home/felipemello/forge/src/forge/util/ops.py", line 91, in compute_logprobs - logprobs = -F.cross_entropy( - ^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/torch/nn/functional.py", line 3458, in cross_entropy - return torch._C._nn.cross_entropy_loss( - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -ValueError: Expected input batch_size (7900) to match target batch_size (7904). - - [DEBUG] About to get generator_version - [DEBUG] Got generator_version: 0 - [DEBUG] About to extract logprobs - [DEBUG] Got logprobs: False - [DEBUG] About to access response.text - [DEBUG] Got response.text, length: 2594 - [DEBUG] About to access response.token_ids as list - [DEBUG] Got response.token_ids, length: 615 - [DEBUG] About to call add_assistant_response -[TokenAccumulator] ===== ENTERED add_assistant_response ===== -[TokenAccumulator] About to tokenize assistant response -[TokenAccumulator] Response text length: 2594 chars -[TokenAccumulator] Response token_ids length: 615 tokens -[TokenAccumulator] First 150 chars: -Okay, let's see. The user has been asking for HIT or STAND responses repeatedly. The initial hand and dealer are both unknown. Since the user -[TokenAccumulator] Tokenization complete, got 619 tokens - -[do_single_rollout] Turn 3 - Remaining budget: 69 - Current tokens: 1976 - Max seq len: 2048 - Calling vLLM with max_tokens=69 - vLLM returned 69 tokens - [DEBUG] About to get generator_version - [DEBUG] Got generator_version: 0 - [DEBUG] About to extract logprobs - [DEBUG] Got logprobs: False - [DEBUG] About to access response.text - [DEBUG] Got response.text, length: 296 - [DEBUG] About to access response.token_ids as list - [DEBUG] Got response.token_ids, length: 69 - [DEBUG] About to call add_assistant_response -[TokenAccumulator] ===== ENTERED add_assistant_response ===== - ❌ Generation failed, breaking - -[do_single_rollout] Creating episode game_1_3a7c28a0 - Final tokens: 1976 - Final mask: 1976 - Final logprobs: 1976 - Is truncated: True - Truncation reason: agent_too_long - Hit max turns: False - Max seq len: 2048 - vLLM returned 456 tokens - [DEBUG] About to get generator_version - [DEBUG] Got generator_version: 0 - [DEBUG] About to extract logprobs - [DEBUG] Got logprobs: False - [DEBUG] About to access response.text - [DEBUG] Got response.text, length: 2010 - [DEBUG] About to access response.token_ids as list - [DEBUG] Got response.token_ids, length: 456 - [DEBUG] About to call add_assistant_response -[TokenAccumulator] ===== ENTERED add_assistant_response ===== - ❌ Generation failed, breaking - -[do_single_rollout] Creating episode game_3_e56c36ae - Final tokens: 1589 - Final mask: 1589 - Final logprobs: 1589 - Is truncated: True - Truncation reason: agent_too_long - Hit max turns: False - Max seq len: 2048 - -[continuous_rollouts] Preparing ref_model input - Max episode length: 1976 - Max seq len config: 2048 - Episode 0: tokens=1536, truncated=False - Episode 1: tokens=1976, truncated=True - Episode 2: tokens=1229, truncated=False - Episode 3: tokens=1589, truncated=True - input_ids shape: torch.Size([4, 1976]) - Calling ref_model with max_req_tokens=0 -Got failure on replica 0. Error: -A remote actor call has failed. - Traceback of where the remote call failed (most recent call last): - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/actor_mesh.py", line 942, in handle - raise e - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/actor_mesh.py", line 935, in handle - result = await the_method(*args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/home/felipemello/forge/src/forge/actors/reference_model.py", line 191, in forward - logprobs = compute_logprobs(logits, input_ids[:, max_req_tokens:]) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/home/felipemello/forge/src/forge/util/ops.py", line 91, in compute_logprobs - logprobs = -F.cross_entropy( - ^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/torch/nn/functional.py", line 3458, in cross_entropy - return torch._C._nn.cross_entropy_loss( - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -ValueError: Expected input batch_size (7900) to match target batch_size (7904). - -Unhandled mesh failure, crashing! MeshFailure(rank=0, event=unix:@QqPD2GAuEO4qeCm06gIhOjIG,ref_model_0_0_1r1Tp9v3X8Bo,agent[0]: failed: actor mesh is stopped due to proc mesh shutdown on: ref_model_0_1mKfw1oCYr8b, rank 0 is in state Stopped at 2025-11-17 21:09:11.061809900 -08:00) -[-]E1117 21:09:11.062528 2708139 monarch_hyperactor/src/v1/actor_mesh.rs:258] unhandled event reached unhandled_fault_hook: MeshFailure(rank=0, event=unix:@QqPD2GAuEO4qeCm06gIhOjIG,ref_model_0_0_1r1Tp9v3X8Bo,agent[0]: failed: actor mesh is stopped due to proc mesh shutdown on: ref_model_0_1mKfw1oCYr8b, rank 0 is in state Stopped at 2025-11-17 21:09:11.061809900 -08:00), which is exiting the process with code 1 + File "", line 198, in _run_module_as_main + File "", line 88, in _run_code + File "/home/felipemello/forge/apps/blackjack/main_v2.py", line 1556, in + _main() # @parse grabs the cfg from CLI + ^^^^^^^ + File "/home/felipemello/forge/src/forge/util/config.py", line 313, in wrapper + sys.exit(recipe_main(conf)) + ^^^^^^^^^^^^^^^^^ + File "/home/felipemello/forge/apps/blackjack/main_v2.py", line 1554, in _main + asyncio.run(main(cfg)) + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 195, in run + return runner.run(main) + ^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 123, in run + raise KeyboardInterrupt() +KeyboardInterrupt +⚠ Forge shutdown timed out after 10s, forcing exit... +Stopping 1 OpenSpiel servers... +✓ All OpenSpiel servers stopped diff --git a/out2.txt b/out2.txt new file mode 100644 index 000000000..19de9f539 --- /dev/null +++ b/out2.txt @@ -0,0 +1,36451 @@ +Warning: setting HYPERACTOR_CODEC_MAX_FRAME_LENGTH since this needs to be set to enable large RPC calls via Monarch +INFO 11-20 09:07:24 [__init__.py:235] Automatically detected platform cuda. +Starting OpenSpiel server 0 for game 'blackjack' on port 9000... +Using game string: blackjack +[SERVER] Starting uvicorn for game 'blackjack' on port 9000 +INFO: Started server process [163517] +INFO: Waiting for application startup. +INFO: Application startup complete. +INFO: Uvicorn running on http://0.0.0.0:9000 (Press CTRL+C to quit) +Waiting for 1 OpenSpiel servers to be ready... +[DEBUG] Server 0 health check attempt 1 failed: ConnectionError +✓ OpenSpiel server 0 ready on port 9000 (took 2s) +Launcher not provided, remote allocations will not work. +wandb: Currently logged in as: felipemello (cabernet-team) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin +wandb: setting up run ju39r27c +wandb: Tracking run with wandb version 0.23.0 +wandb: Run data is saved locally in /home/felipemello/forge/wandb/run-20251120_090730-ju39r27c +wandb: Run `wandb offline` to turn off syncing. +wandb: Syncing run stilted-darkness-75 +wandb: ⭐️ View project at https://wandb.ai/cabernet-team/blackjack-grpo +wandb: 🚀 View run at https://wandb.ai/cabernet-team/blackjack-grpo/runs/ju39r27c +wandb: Detected [openai] in use. +wandb: Use W&B Weave for improved LLM call tracing. Install Weave with `pip install weave` then add `import weave` to the top of your script. +wandb: For more information, check out the docs at: https://weave-docs.wandb.ai/ +Spawning actor EnvironmentActor +Spawning service Generator +Spawning actor TitanTrainer +Spawning actor ReplayBuffer +Spawning actor ComputeAdvantages +Spawning service ReferenceModel +[TitanTrainer-0/1] 2025-11-20 09:07:43 INFO Compiling loss +[TitanTrainer-0/1] 2025-11-20 09:07:47 INFO Building 0-D device mesh with [], [] +[TitanTrainer-0/1] 2025-11-20 09:07:47 INFO [GC] Initial GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:07:49 INFO Total parameter count: dense 2,031,739,904, sparse 0, active 2,031,739,904 +[TitanTrainer-0/1] 2025-11-20 09:07:49 INFO Applied selective activation checkpointing to the model +INFO 11-20 09:07:50 [__init__.py:235] Automatically detected platform cuda. +NCCL version 2.27.5+cuda12.9 +[TitanTrainer-0/1] 2025-11-20 09:07:53 INFO Checkpointing active. Checkpoints will be loaded from and saved to ./checkpoint +[TitanTrainer-0/1] 2025-11-20 09:07:53 INFO Mixed precision training is handled by AMP +[TitanTrainer-0/1] 2025-11-20 09:07:53 INFO loading from HF safetensors from --checkpoint.initial_load_path: /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e +[TitanTrainer-0/1] 2025-11-20 09:07:53 INFO Loading the checkpoint from /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e. +[ReferenceModel-0/1] 2025-11-20 09:07:53 INFO Building 0-D device mesh with [], [] +[ReferenceModel-0/1] 2025-11-20 09:07:53 INFO [GC] Initial GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:07:54 INFO [GC] GC collection for checkpoint loading. took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:07:54 INFO Finished loading the checkpoint in 1.03 seconds. +[ReferenceModel-0/1] 2025-11-20 09:07:56 INFO Total parameter count: dense 2,031,739,904, sparse 0, active 2,031,739,904 +[ReferenceModel-0/1] 2025-11-20 09:07:56 INFO Applied selective activation checkpointing to the model +NCCL version 2.27.5+cuda12.9 +[ReferenceModel-0/1] 2025-11-20 09:07:56 INFO Checkpointing active. Checkpoints will be loaded from and saved to +[ReferenceModel-0/1] 2025-11-20 09:07:56 INFO Mixed precision training is handled by AMP +[ReferenceModel-0/1] 2025-11-20 09:07:56 INFO loading from HF safetensors from --checkpoint.initial_load_path: /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e +[ReferenceModel-0/1] 2025-11-20 09:07:56 INFO Loading the checkpoint from /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e. +[ReferenceModel-0/1] 2025-11-20 09:07:57 INFO [GC] GC collection for checkpoint loading. took 0.04 seconds +[ReferenceModel-0/1] 2025-11-20 09:07:57 INFO Finished loading the checkpoint in 0.99 seconds. +`torch_dtype` is deprecated! Use `dtype` instead! +INFO 11-20 09:07:59 [config.py:1604] Using max model len 40960 +INFO 11-20 09:07:59 [config.py:2434] Chunked prefill is enabled with max_num_batched_tokens=16384. +INFO 11-20 09:08:01 [__init__.py:235] Automatically detected platform cuda. +WARNING 11-20 09:08:03 [multiproc_worker_utils.py:307] Reducing Torch parallelism from 192 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. +[W1120 09:08:05.194847118 ProcessGroupNCCL.cpp:924] Warning: TORCH_NCCL_AVOID_RECORD_STREAMS is the default now, this environment variable is thus deprecated. (function operator()) +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +INFO 11-20 09:08:05 [parallel_state.py:1102] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 +WARNING 11-20 09:08:05 [topk_topp_sampler.py:59] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer. +INFO 11-20 09:08:05 [gpu_model_runner.py:1843] Starting to load model Qwen/Qwen3-1.7B... +INFO 11-20 09:08:05 [gpu_model_runner.py:1875] Loading model from scratch... +INFO 11-20 09:08:06 [cuda.py:290] Using Flash Attention backend on V1 engine. +INFO 11-20 09:08:06 [weight_utils.py:296] Using model weights format ['*.safetensors'] + Loading safetensors checkpoint shards: 0% Completed | 0/2 [00:00.datetime.now.` This function is either a Python builtin (e.g. _warnings.warn) or a third-party C/C++ Python extension (perhaps created with pybind). +If it is a Python builtin, please file an issue on GitHub so the PyTorch team can add support for it and see the next case for a workaround. +If it is a third-party C/C++ Python extension, please either wrap it into a PyTorch-understood custom operator (see https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html for more details) or, if it is traceable, use `torch.compiler.allow_in_graph`. + torch._dynamo.utils.warn_once(explanation + "\n" + "\n".join(hints)) +[ReferenceModel-0/1] 2025-11-20 09:08:55 INFO [GC] Performing periodic GC collection took 0.00 seconds +[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: +[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True +[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: +[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 +[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. +[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] +[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: +[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/home/felipemello/forge/apps/blackjack/main_v2.py", line 1253, in torch_dynamo_resume_in_simple_grpo_loss_at_1251 +[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] "loss_debug/num_trainable_tokens", loss_mask.sum().item(), Reduce.MEAN +[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] +[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] +All services initialized successfully! +Torchstore successfully initialized with local rank strategy +Warming up policy with test generation... +✓ Policy ready, test response: ' We need to make it to interact in the team, so li...' +Testing OpenSpiel server connections... +✓ Server 0 test successful (port 9000), legal_actions=[0, 1] +Starting GRPO with 1 rollout threads +[Thread 0] Using server at http://localhost:9000 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 0] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 264, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 20, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 +[TRAINING] Step 0: Starting training +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 1] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 2] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 263, Trainable tokens: 16 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 14, Dealer: 10 + [4] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 3] Episode 0 Debug Info +================================================================================ +Reward: -7.0, Truncated: False, Turns: 1 +Total tokens: 226, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 8 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:08:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:08:58 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:08:59 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:00 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:02 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 4] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 264, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 12, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 5] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 229, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 + +================================================================================ +[ROLLOUT 6] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 7] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 6 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 8] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 264, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 21, Dealer: 10[ReferenceModel-0/1] 2025-11-20 09:09:03 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:04 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:06 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:08 INFO [GC] Performing periodic GC collection took 0.00 seconds + + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 9] Episode 0 Debug Info +================================================================================ +Reward: -7.0, Truncated: False, Turns: 1 +Total tokens: 227, Trainable tokens: 4 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 10] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 3 +Total tokens: 294, Trainable tokens: 24 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 6, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 11, Dealer: 10 + [4] assistant : HIT + [5] user : Hand: 15, Dealer: 10 + [6] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 6, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>HIT<|im_end|>HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 11] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 + +================================================================================ +[ROLLOUT 12] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> +[ReferenceModel-0/1] 2025-11-20 09:09:09 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:10 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:12 INFO [GC] Performing periodic GC collection took 0.00 seconds +/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/torch/cuda/memory.py:491: FutureWarning: torch.cuda.reset_max_memory_allocated now calls torch.cuda.reset_peak_memory_stats, which resets /all/ peak memory stats. + warnings.warn( +[TitanTrainer-0/1] 2025-11-20 09:09:14 INFO Pushing weights for policy version 1 +[ReferenceModel-0/1] 2025-11-20 09:09:14 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 13] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 3 +Total tokens: 292, Trainable tokens: 25 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 5, Dealer: 9 + [2] assistant : HIT + [3] user : Hand: 10, Dealer: 9 + [4] assistant : HIT + [5] user : Hand: 20, Dealer: 9 + [6] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 5, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 14] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 4 + [2] assistant : HIT + [3] user : Hand: 21, Dealer: 4 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 15] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 + +================================================================================ +[ROLLOUT 16] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 6 + [2] assistant : HIT + [3] user : Hand: 20, Dealer: 6 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> +[ReferenceModel-0/1] 2025-11-20 09:09:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:16 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:17 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:09:17 INFO Completed weights push in 3.79 seconds +[Generator-0/1] 2025-11-20 09:09:17 INFO [Generator] Fetching weights for v1 to shared memory +INFO 11-20 09:09:21 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:09:21 INFO Weight update completed (now v1) + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 17] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND +[ENV] ⚠️ INVALID action: Missing tags! +[ENV] Text: '...' +[ENV] Treating as STAND + +================================================================================ +[ROLLOUT 18] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 229, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=0 +WandbBackend: Logged 125 metrics at step 1 +=== [global_reduce] - METRICS STEP 1 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 304.0 + buffer/episodes_accepted: 304.0 + buffer/episodes_generated: 304.0 + buffer/evict/sum_episodes_evicted: 0.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 1.0 + buffer/sample/avg_sampled_policy_age: 0.0 + buffer/sample/count_sample_requests: 7.0 + buffer/sample/max_sampled_policy_age: 0.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0005090754213077682 + buffer_perf/sample/total_duration_max_s: 0.0031663840636610985 + episode/total_tokens: 250.42105263157896 + episode/turns: 1.6513157894736843 + game/average_turns: 1.6513157894736843 + game/env_reward: -0.28618421052631576 + game/games_played: 304.0 + game/invalid_action_penalty: 35.0 + game/invalid_action_rate: 0.0697211155378486 + game/missing_answer_tags: 35.0 + game/win_rate: 0.3190789473684211 + generator/generate/avg_tokens_generated: 12.05765407554672 + generator/generate/count_requests: 504.0 + generator/generate/count_sequences_completed: 503.0 + generator/generate/sum_tokens_generated: 6065.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 2.2953491024672985 + generator_perf/_fetch_weights/total_duration_max_s: 2.2953491024672985 + generator_perf/generate/generate/duration_avg_s: 0.052667126991165776 + generator_perf/generate/generate/duration_max_s: 8.7868193359375 + generator_perf/generate/process_inputs/duration_avg_s: 0.0010267147804586363 + generator_perf/generate/process_inputs/duration_max_s: 0.05137740707397461 + generator_perf/generate/total_duration_avg_s: 0.053769544101604436 + generator_perf/generate/total_duration_max_s: 8.838400263011456 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 2.2954543316736817 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 2.2954543316736817 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7206979300826788 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7206979300826788 + groups/rate_dropped: 0.0 + loss_debug/advantages_max: 1.1038708686828613 + loss_debug/advantages_mean: 0.0 + loss_debug/advantages_min: -3.1593544483184814 + loss_debug/advantages_std: 0.9999695420265198 + loss_debug/batch_size: 16.0 + loss_debug/beta_times_kl_mean: 0.0 + loss_debug/final_loss: 0.0 + loss_debug/kl_max: 0.0 + loss_debug/kl_mean: 0.0 + loss_debug/kl_min: 0.0 + loss_debug/kl_std: 0.0 + loss_debug/logprob_diff_max: 2.3841812435421161e-07 + loss_debug/logprob_diff_mean: 3.6518288393239118e-09 + loss_debug/logprob_diff_min: -1.1920565157197416e-07 + loss_debug/logprobs_max: 0.0 + loss_debug/logprobs_mean: -0.09445653110742569 + loss_debug/logprobs_min: -6.501502513885498 + loss_debug/logprobs_std: 0.6043919324874878 + loss_debug/num_trainable_tokens: 196.0 + loss_debug/per_token_loss_max: 3.1593544483184814 + loss_debug/per_token_loss_mean: -0.2462540715932846 + loss_debug/per_token_loss_min: -1.1038708686828613 + loss_debug/policy_loss_max: 1.1038708686828613 + loss_debug/policy_loss_mean: 0.2462540715932846 + loss_debug/policy_loss_min: -3.1593544483184814 + loss_debug/ref_logprobs_max: 0.0 + loss_debug/ref_logprobs_mean: -0.09445653110742569 + loss_debug/ref_logprobs_min: -6.501502513885498 + loss_debug/ref_logprobs_std: 0.6043919324874878 + loss_debug/seq_len: 264.0 + loss_debug/targets_max: 151645.0 + loss_debug/targets_min: -100.0 + main/continuous_rollouts/count_rollout_iterations: 19.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 1.1332410916097855 + main_perf/continuous_rollouts/play_games/duration_max_s: 1.3790146689862013 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.48901917873636674 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 4.251377924345434 + main_perf/continuous_rollouts/total_duration_avg_s: 1.66311438396377 + main_perf/continuous_rollouts/total_duration_max_s: 5.397115943022072 + main_perf/continuous_training/push_weights/duration_avg_s: 3.7963323732838035 + main_perf/continuous_training/push_weights/duration_max_s: 3.7963323732838035 + main_perf/continuous_training/total_duration_avg_s: 34.76267853844911 + main_perf/continuous_training/total_duration_max_s: 34.76267853844911 + main_perf/continuous_training/train_step/duration_avg_s: 21.637613276019692 + main_perf/continuous_training/train_step/duration_max_s: 21.637613276019692 + main_perf/continuous_training/update_weights/duration_avg_s: 3.3052288070321083 + main_perf/continuous_training/update_weights/duration_max_s: 3.3052288070321083 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 6.023499765433371 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 6.023499765433371 + reference_perf/forward/avg_sequence_length: 293.36842105263156 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.12854616044971504 + reference_perf/forward/compute_logprobs/duration_max_s: 1.9057039432227612 + reference_perf/forward/count_forward_passes: 19.0 + reference_perf/forward/forward/duration_avg_s: 0.3470371379762104 + reference_perf/forward/forward/duration_max_s: 2.337009396404028 + reference_perf/forward/garbage_collection/duration_avg_s: 0.0004163480020667377 + reference_perf/forward/garbage_collection/duration_max_s: 0.0006471108645200729 + reference_perf/forward/memory_delta_end_start_avg_gb: 1.330101490020752 + reference_perf/forward/memory_peak_max_gb: 12.701750755310059 + reference_perf/forward/to_device/duration_avg_s: 0.00013060804064336576 + reference_perf/forward/to_device/duration_max_s: 0.00015628617256879807 + reference_perf/forward/total_duration_avg_s: 0.4761328844255523 + reference_perf/forward/total_duration_max_s: 4.243267910555005 + rl_trainer/avg_loss: 0.0 + rl_trainer/learning_rate: 1e-05 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.00048462487757205963 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.00048462487757205963 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.000505947507917881 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.000505947507917881 + rl_trainer_perf/push_weights/total_duration_avg_s: 3.7944181375205517 + rl_trainer_perf/push_weights/total_duration_max_s: 3.7944181375205517 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 3.793419393710792 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 3.793419393710792 + rl_trainer_perf/step/forward_backward/duration_avg_s: 21.557823604904115 + rl_trainer_perf/step/forward_backward/duration_max_s: 21.557823604904115 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 7.631590843200684 + rl_trainer_perf/step/memory_peak_max_gb: 15.202392101287842 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.055673263035714626 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.055673263035714626 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017527000978589058 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017527000978589058 + rl_trainer_perf/step/total_duration_avg_s: 21.63102785497904 + rl_trainer_perf/step/total_duration_max_s: 21.63102785497904 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:09:21 INFO [GC] Performing periodic GC collection took 0.01 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:22 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:23 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:24 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:25 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 1: Starting training + +================================================================================ +[ROLLOUT 19] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 264, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 18, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 20] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 261, Trainable tokens: 16 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 8 + [2] assistant : Hit + [3] user : Hand: 13, Dealer: 8 + [4] assistant : Hit + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +Hit<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +Hit<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +Hit<|im_end|>Hit<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 21] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 22] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 264, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 14, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 23] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> +[ReferenceModel-0/1] 2025-11-20 09:09:26 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:27 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:28 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:29 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:30 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 24] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 25] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 26] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 264, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 19, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 27] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 28] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> +[ReferenceModel-0/1] 2025-11-20 09:09:31 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:32 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:33 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:36 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 29] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 30] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 5, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 9, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 5, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 31] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 6 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 32] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 6, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 6, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 33] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> +[ReferenceModel-0/1] 2025-11-20 09:09:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:39 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:40 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:42 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 34] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 35] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 36] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 264, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 20, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 37] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 38] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> +[ReferenceModel-0/1] 2025-11-20 09:09:42 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:45 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:46 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:47 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 39] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 40] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 41] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 42] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 43] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:09:48 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:49 INFO [GC] Performing periodic GC collection took 0.00 seconds +/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/torch/cuda/memory.py:491: FutureWarning: torch.cuda.reset_max_memory_allocated now calls torch.cuda.reset_peak_memory_stats, which resets /all/ peak memory stats. + warnings.warn( +[TitanTrainer-0/1] 2025-11-20 09:09:49 INFO Pushing weights for policy version 2 +[ReferenceModel-0/1] 2025-11-20 09:09:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:51 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:52 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:09:52 INFO Completed weights push in 3.05 seconds +[Generator-0/1] 2025-11-20 09:09:52 INFO [Generator] Fetching weights for v2 to shared memory +INFO 11-20 09:09:55 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:09:55 INFO Weight update completed (now v2) + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 44] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 45] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 46] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 + +================================================================================ +[ROLLOUT 47] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 +Dropping weights @ version 1 + +================================================================================ +[ROLLOUT 48] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:09:55 INFO [GC] Performing periodic GC collection took 0.00 seconds + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=1 +Dropped weights @ version 1, took 1.08 seconds +WandbBackend: Logged 127 metrics at step 2 +=== [global_reduce] - METRICS STEP 2 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 480.0 + buffer/episodes_accepted: 480.0 + buffer/episodes_generated: 480.0 + buffer/evict/sum_episodes_evicted: 16.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.05555555555555555 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + buffer_perf/sample/total_duration_avg_s: 0.0008723028004169464 + buffer_perf/sample/total_duration_max_s: 0.0008723028004169464 + episode/total_tokens: 237.22886597938145 + episode/turns: 1.1958762886597938 + game/average_turns: 1.1958762886597938 + game/env_reward: -0.10515463917525773 + game/games_played: 485.0 + game/invalid_action_rate: 0.0 + game/win_rate: 0.422680412371134 + generator/generate/avg_tokens_generated: 8.782758620689656 + generator/generate/count_requests: 580.0 + generator/generate/count_sequences_completed: 580.0 + generator/generate/sum_tokens_generated: 5094.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.5885394038632512 + generator_perf/_fetch_weights/total_duration_max_s: 1.5885394038632512 + generator_perf/generate/generate/duration_avg_s: 0.048618920641932004 + generator_perf/generate/generate/duration_max_s: 2.800273681640625 + generator_perf/generate/process_inputs/duration_avg_s: 0.0009213867587872356 + generator_perf/generate/process_inputs/duration_max_s: 0.002512320041656494 + generator_perf/generate/total_duration_avg_s: 0.04962887975925963 + generator_perf/generate/total_duration_max_s: 2.801340017683804 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5163810197263956 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5163810197263956 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.9008300518617034 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.9008300518617034 + groups/rate_dropped: 0.0 + loss_debug/advantages_max: 1.436065673828125 + loss_debug/advantages_mean: -0.08194378763437271 + loss_debug/advantages_min: -1.9730262756347656 + loss_debug/advantages_std: 0.9571942090988159 + loss_debug/batch_size: 16.0 + loss_debug/beta_times_kl_mean: 0.061492979526519775 + loss_debug/final_loss: 0.17963677644729614 + loss_debug/kl_max: 10.0 + loss_debug/kl_mean: 0.6149297952651978 + loss_debug/kl_min: -5.960464477539063e-08 + loss_debug/kl_std: 2.225198745727539 + loss_debug/logprob_diff_max: 20.5882568359375 + loss_debug/logprob_diff_mean: 0.3664703369140625 + loss_debug/logprob_diff_min: -4.400961399078369 + loss_debug/logprobs_max: 0.0 + loss_debug/logprobs_mean: -0.5384318232536316 + loss_debug/logprobs_min: -21.56251335144043 + loss_debug/logprobs_std: 2.613826036453247 + loss_debug/num_trainable_tokens: 219.0 + loss_debug/per_token_loss_max: 2.9730262756347656 + loss_debug/per_token_loss_mean: -0.1352633237838745 + loss_debug/per_token_loss_min: -1.436065673828125 + loss_debug/policy_loss_max: 1.436065673828125 + loss_debug/policy_loss_mean: 0.1967562735080719 + loss_debug/policy_loss_min: -1.9730262756347656 + loss_debug/ref_logprobs_max: 0.0 + loss_debug/ref_logprobs_mean: -0.17196154594421387 + loss_debug/ref_logprobs_min: -7.500553131103516 + loss_debug/ref_logprobs_std: 0.9522477984428406 + loss_debug/seq_len: 323.0 + loss_debug/targets_max: 151645.0 + loss_debug/targets_min: -100.0 + main/continuous_rollouts/count_rollout_iterations: 30.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 1.1033983861406644 + main_perf/continuous_rollouts/play_games/duration_max_s: 3.820975959300995 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.10809481324007114 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.8883990235626698 + main_perf/continuous_rollouts/total_duration_avg_s: 1.2536967034141222 + main_perf/continuous_rollouts/total_duration_max_s: 3.9181653587147593 + main_perf/continuous_training/drop_weights/duration_avg_s: 1.0808169152587652 + main_perf/continuous_training/drop_weights/duration_max_s: 1.0808169152587652 + main_perf/continuous_training/push_weights/duration_avg_s: 3.049215412698686 + main_perf/continuous_training/push_weights/duration_max_s: 3.049215412698686 + main_perf/continuous_training/total_duration_avg_s: 35.10124156065285 + main_perf/continuous_training/total_duration_max_s: 35.10124156065285 + main_perf/continuous_training/train_step/duration_avg_s: 28.207441590726376 + main_perf/continuous_training/train_step/duration_max_s: 28.207441590726376 + main_perf/continuous_training/update_weights/duration_avg_s: 2.7606022199615836 + main_perf/continuous_training/update_weights/duration_max_s: 2.7606022199615836 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.003163238987326622 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.003163238987326622 + reference_perf/forward/avg_sequence_length: 263.4 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.020983527476588885 + reference_perf/forward/compute_logprobs/duration_max_s: 0.026347492821514606 + reference_perf/forward/count_forward_passes: 30.0 + reference_perf/forward/forward/duration_avg_s: 0.07314579645171762 + reference_perf/forward/forward/duration_max_s: 0.8537823846563697 + reference_perf/forward/garbage_collection/duration_avg_s: 0.00042596661175290745 + reference_perf/forward/garbage_collection/duration_max_s: 0.0004803091287612915 + reference_perf/forward/memory_delta_end_start_avg_gb: 1.1927501360575359 + reference_perf/forward/memory_peak_max_gb: 11.778019905090332 + reference_perf/forward/to_device/duration_avg_s: 0.00013107089325785636 + reference_perf/forward/to_device/duration_max_s: 0.00016391929239034653 + reference_perf/forward/total_duration_avg_s: 0.09468853858609995 + reference_perf/forward/total_duration_max_s: 0.8748530419543386 + rl_trainer/avg_loss: 0.17963677644729614 + rl_trainer/learning_rate: 1e-05 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005453163757920265 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005453163757920265 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0004995884373784065 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0004995884373784065 + rl_trainer_perf/push_weights/total_duration_avg_s: 3.0475411117076874 + rl_trainer_perf/push_weights/total_duration_max_s: 3.0475411117076874 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 3.046493273228407 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 3.046493273228407 + rl_trainer_perf/step/forward_backward/duration_avg_s: 28.16215018928051 + rl_trainer_perf/step/forward_backward/duration_max_s: 28.16215018928051 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 0.00011682510375976562 + rl_trainer_perf/step/memory_peak_max_gb: 19.491862773895264 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0028988178819417953 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0028988178819417953 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.03825633879750967 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.03825633879750967 + rl_trainer_perf/step/total_duration_avg_s: 28.203307930380106 + rl_trainer_perf/step/total_duration_max_s: 28.203307930380106 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:09:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:09:56 INFO Pushing weights for policy version 3 +[ReferenceModel-0/1] 2025-11-20 09:09:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:57 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:09:58 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:09:59 INFO Completed weights push in 2.73 seconds +[Generator-0/1] 2025-11-20 09:09:59 INFO [Generator] Fetching weights for v3 to shared memory +INFO 11-20 09:10:01 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:10:01 INFO Weight update completed (now v3) +[TRAINING] Step 2: Starting training + +================================================================================ +[ROLLOUT 49] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=2 + +================================================================================ +[ROLLOUT 50] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=2 + +================================================================================ +[ROLLOUT 51] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=2 +Dropping weights @ version 2 +Dropped weights @ version 2, took 1.02 seconds +WandbBackend: Logged 127 metrics at step 3 +=== [global_reduce] - METRICS STEP 3 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 48.0 + buffer/episodes_accepted: 48.0 + buffer/episodes_generated: 48.0 + buffer/evict/sum_episodes_evicted: 288.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.03333333333333333 + buffer/sample/avg_sampled_policy_age: 0.9375 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 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loss_debug/final_loss: 0.38031113147735596 + loss_debug/kl_max: 5.438767910003662 + loss_debug/kl_mean: 0.33833256363868713 + loss_debug/kl_min: 0.0 + loss_debug/kl_std: 1.1499502658843994 + loss_debug/logprob_diff_max: 0.5718634128570557 + loss_debug/logprob_diff_mean: -0.4292902648448944 + loss_debug/logprob_diff_min: -6.437167167663574 + loss_debug/logprobs_max: 0.0 + loss_debug/logprobs_mean: -0.11467456817626953 + loss_debug/logprobs_min: -5.753177642822266 + loss_debug/logprobs_std: 0.5987272262573242 + loss_debug/num_trainable_tokens: 182.0 + loss_debug/per_token_loss_max: 1.6492141485214233 + loss_debug/per_token_loss_mean: 0.314540296792984 + loss_debug/per_token_loss_min: -1.436065673828125 + loss_debug/policy_loss_max: 1.436065673828125 + loss_debug/policy_loss_mean: -0.2807070016860962 + loss_debug/policy_loss_min: -1.2499375343322754 + loss_debug/ref_logprobs_max: 0.0 + loss_debug/ref_logprobs_mean: -0.5439648628234863 + loss_debug/ref_logprobs_min: -10.000045776367188 + 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0.00315689854323864 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.024912015534937382 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.024912015534937382 + rl_trainer_perf/step/total_duration_avg_s: 0.19951713271439075 + rl_trainer_perf/step/total_duration_max_s: 0.19951713271439075 +============================== + +[ReferenceModel-0/1] 2025-11-20 09:10:02 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:10:02 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:10:02 INFO Pushing weights for policy version 4 +[ReferenceModel-0/1] 2025-11-20 09:10:03 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:10:05 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:10:05 INFO Completed weights push in 2.81 seconds +[Generator-0/1] 2025-11-20 09:10:05 INFO [Generator] Fetching weights for v4 to shared memory +INFO 11-20 09:10:08 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:10:08 INFO Weight update completed (now v4) +[ReferenceModel-0/1] 2025-11-20 09:10:09 INFO [GC] Performing periodic GC collection took 0.00 seconds + +================================================================================ +[ROLLOUT 52] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 9 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[TRAINING] Step 3: Starting training +[BUFFER ADD] Added 16/16 episodes with policy_v=2 + +================================================================================ +[ROLLOUT 53] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=3 + +================================================================================ +[ROLLOUT 54] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=3 +Dropping weights @ version 3 + +================================================================================ +[ROLLOUT 55] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 5 + [2] assistant : HIT + [3] user : Hand: 17, Dealer: 5 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=3 +Dropped weights @ version 3, took 0.91 seconds +WandbBackend: Logged 127 metrics at step 4 +=== [global_reduce] - METRICS STEP 4 === + buffer/acceptance_rate: 1.0 + 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2025-11-20 09:10:10 INFO Pushing weights for policy version 5 +[ReferenceModel-0/1] 2025-11-20 09:10:11 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:10:12 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:10:13 INFO Completed weights push in 3.05 seconds +[Generator-0/1] 2025-11-20 09:10:13 INFO [Generator] Fetching weights for v5 to shared memory +INFO 11-20 09:10:16 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:10:16 INFO Weight update completed (now v5) +[ReferenceModel-0/1] 2025-11-20 09:10:17 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 4: Starting training + +================================================================================ +[ROLLOUT 56] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 264, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 20, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=4 + +================================================================================ +[ROLLOUT 57] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=4 + +================================================================================ +[ROLLOUT 58] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=4 +Dropping weights @ version 4 + +================================================================================ +[ROLLOUT 59] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 261, Trainable tokens: 16 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 2 + [2] assistant : HIT + [3] user : Hand: 16, Dealer: 2 + [4] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or 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INFO Completed weights push in 2.53 seconds +[Generator-0/1] 2025-11-20 09:10:21 INFO [Generator] Fetching weights for v6 to shared memory +INFO 11-20 09:10:24 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:10:24 INFO Weight update completed (now v6) +[ReferenceModel-0/1] 2025-11-20 09:10:25 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 5: Starting training + +================================================================================ +[ROLLOUT 60] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=5 + +================================================================================ +[ROLLOUT 61] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 6 + [2] assistant : HIT + [3] user : Hand: 18, Dealer: 6 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=5 + +================================================================================ +[ROLLOUT 62] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=5 +Dropping weights @ version 5 + +================================================================================ +[ROLLOUT 63] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=5 +Dropped weights @ version 5, took 0.86 seconds +WandbBackend: Logged 127 metrics at step 6 +=== [global_reduce] - METRICS STEP 6 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 53.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.2222222222222222 + buffer/sample/avg_sampled_policy_age: 0.9375 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0010648760944604874 + buffer_perf/sample/total_duration_max_s: 0.0010648760944604874 + episode/total_tokens: 246.43333333333334 + episode/turns: 1.5 + game/average_turns: 1.5 + game/env_reward: -0.25 + game/games_played: 60.0 + game/invalid_action_rate: 0.0 + game/win_rate: 0.35 + generator/generate/avg_tokens_generated: 8.393258426966293 + generator/generate/count_requests: 90.0 + 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rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.5275534754619002 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.5275534754619002 + rl_trainer_perf/step/forward_backward/duration_avg_s: 1.5434469832107425 + rl_trainer_perf/step/forward_backward/duration_max_s: 1.5434469832107425 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 9.489059448242188e-05 + rl_trainer_perf/step/memory_peak_max_gb: 17.944547653198242 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.00292903371155262 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.00292903371155262 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.020431116223335266 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.020431116223335266 + rl_trainer_perf/step/total_duration_avg_s: 1.5668083345517516 + rl_trainer_perf/step/total_duration_max_s: 1.5668083345517516 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:10:25 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:10:25 INFO Pushing weights for policy version 7 +[ReferenceModel-0/1] 2025-11-20 09:10:26 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:10:27 INFO Completed weights push in 2.33 seconds +[Generator-0/1] 2025-11-20 09:10:27 INFO [Generator] Fetching weights for v7 to shared memory +INFO 11-20 09:10:30 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:10:30 INFO Weight update completed (now v7) +[ReferenceModel-0/1] 2025-11-20 09:10:30 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 6: Starting training + +================================================================================ +[ROLLOUT 64] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 259, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: Ace + [2] assistant : HIT + [3] user : Hand: 12, Dealer: Ace + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 12, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=6 +Dropping weights @ version 6 + +================================================================================ +[ROLLOUT 65] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=6 +Dropped weights @ version 6, took 0.91 seconds +WandbBackend: Logged 127 metrics at step 7 +=== [global_reduce] - METRICS STEP 7 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 32.0 + buffer/episodes_accepted: 32.0 + buffer/episodes_generated: 32.0 + buffer/evict/sum_episodes_evicted: 65.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.22535211267605634 + buffer/sample/avg_sampled_policy_age: 0.75 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0009985454380512238 + buffer_perf/sample/total_duration_max_s: 0.0009985454380512238 + episode/total_tokens: 250.30555555555554 + episode/turns: 1.5833333333333333 + game/average_turns: 1.5833333333333333 + game/env_reward: -0.2777777777777778 + game/games_played: 36.0 + game/invalid_action_rate: 0.0 + game/win_rate: 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0.20222922693938017 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:10:31 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:10:32 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:10:32 INFO Pushing weights for policy version 8 +[ReferenceModel-0/1] 2025-11-20 09:10:33 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:10:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:10:35 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:10:35 INFO Completed weights push in 2.91 seconds +[Generator-0/1] 2025-11-20 09:10:35 INFO [Generator] Fetching weights for v8 to shared memory +INFO 11-20 09:10:38 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:10:38 INFO Weight update completed (now v8) +[TRAINING] Step 7: Starting training + +================================================================================ +[ROLLOUT 66] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 260, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: Ace + [2] assistant : HIT + [3] user : Hand: 16, Dealer: Ace + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 16, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=7 + +================================================================================ +[ROLLOUT 67] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=7 + +================================================================================ +[ROLLOUT 68] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 229, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=7 + +================================================================================ +[ROLLOUT 69] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your 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took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:10:43 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:10:44 INFO Completed weights push in 3.10 seconds +[Generator-0/1] 2025-11-20 09:10:44 INFO [Generator] Fetching weights for v9 to shared memory +INFO 11-20 09:10:46 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:10:46 INFO Weight update completed (now v9) +[TRAINING] Step 8: Starting training + +================================================================================ +[ROLLOUT 70] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 264, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 15, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=8 + +================================================================================ +[ROLLOUT 71] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=8 + +================================================================================ +[ROLLOUT 72] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=8 + +================================================================================ +[ROLLOUT 73] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 16 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 5, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 13, Dealer: 10 + [4] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 5, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=8 +Dropping weights @ version 8 +Dropped weights @ version 8, took 0.83 seconds +WandbBackend: Logged 125 metrics at step 9 +=== [global_reduce] - METRICS STEP 9 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 37.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.23880597014925373 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + buffer_perf/sample/total_duration_avg_s: 0.0013724025338888168 + 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+================================================================================ +[ROLLOUT 74] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 260, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: Ace + [2] assistant : HIT + [3] user : Hand: 18, Dealer: Ace + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 18, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=9 + +================================================================================ +[ROLLOUT 75] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=9 +Dropping weights @ version 9 +Dropped weights @ version 9, took 0.62 seconds +WandbBackend: Logged 125 metrics at step 10 +=== [global_reduce] - METRICS STEP 10 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 32.0 + buffer/episodes_accepted: 32.0 + buffer/episodes_generated: 32.0 + buffer/evict/sum_episodes_evicted: 67.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.25 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + buffer_perf/sample/total_duration_avg_s: 0.0019313199445605278 + 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INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 10: Starting training + +================================================================================ +[ROLLOUT 76] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 263, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 5, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 14, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 5, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=10 + +================================================================================ +[ROLLOUT 77] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 263, Trainable tokens: 16 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 14, Dealer: 10 + [4] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=10 +Dropping weights @ version 10 + +================================================================================ +[ROLLOUT 78] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 7 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + 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+================================================================================ +[ROLLOUT 79] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 427, Trainable tokens: 180 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 10 + [2] assistant : HIT + +Your hand is 11, and the dealer has 10. Since the dealer must hit until reac... + [3] user : Hand: 19, Dealer: 10 + [4] assistant : STAND + +Your hand is 19, and the dealer has 10. Since you are already close to 21 ... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 11, and the dealer has 10. Since the dealer must hit until reaching 17+, and your hand is weak (11), it's generally wise to **HIT** to improve your hand. The dealer is likely to draw a card to reach 17 or higher, and you have a good chance of improving your hand.<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND + +Your hand is 19, and the dealer has 10. Since you are already close to 21 (19 is 1 away from 20), and the dealer must hit until reaching 17+, it's optimal to **STAND**. You are already in a strong position, and the dealer is likely to draw a card, which could give them a better chance of beating you.<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT + +Your hand is 11, and the dealer has 10. Since the dealer must hit until reaching 17+, and your hand is weak (11), it's generally wise to **HIT** to improve your hand. The dealer is likely to draw a card to reach 17 or higher, and you have a good chance of improving your hand.<|im_end|>STAND + +Your hand is 19, and the dealer has 10. Since you are already close to 21 (19 is 1 away from 20), and the dealer must hit until reaching 17+, it's optimal to **STAND**. 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09:11:27 INFO [Generator] Fetching weights for v14 to shared memory +INFO 11-20 09:11:30 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:11:30 INFO Weight update completed (now v14) + +================================================================================ +[ROLLOUT 80] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 3 +Total tokens: 296, Trainable tokens: 25 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 14, Dealer: 10 + [4] assistant : HIT + [5] user : Hand: 19, Dealer: 10 + [6] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>HIT<|im_end|>STAND<|im_end|> 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+================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 294, Trainable tokens: 71 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : STAND + +Your hand is 18, and the dealer's hand is 10. Since you are already closer... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND + +Your hand is 18, and the dealer's hand is 10. Since you are already closer to 21 than the dealer (you are 3 away from 21, the dealer is 10 away from 21), it's optimal to **STAND**.<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND + +Your hand is 18, and the dealer's hand is 10. 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have enough data... + +================================================================================ +[ROLLOUT 82] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 426, Trainable tokens: 181 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 9 + [2] assistant : HIT + +Your hand is 12, and the dealer has 9. Since the dealer must hit until reach... + [3] user : Hand: 18, Dealer: 9 + [4] assistant : STAND + +Your hand is 18, and the dealer has 9. Since your hand is already close to... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 12, and the dealer has 9. Since the dealer must hit until reaching 17+, and the dealer's hand is currently 9, they will likely hit. Your hand is closer to 21 than the dealer's final hand, so it's reasonable to **hit** to increase your total and get closer to 21.<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND + +Your hand is 18, and the dealer has 9. Since your hand is already close to 21 (18 is 3 away from 21), and the dealer must hit until reaching 17+, it's optimal to **stand** to avoid the risk of the dealer improving their hand. Your hand is closer to 21 than the dealer's final hand, so it's a safe choice.<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT + +Your hand is 12, and the dealer has 9. Since the dealer must hit until reaching 17+, and the dealer's hand is currently 9, they will likely hit. Your hand is closer to 21 than the dealer's final hand, so it's reasonable to **hit** to increase your total and get closer to 21.<|im_end|>STAND + +Your hand is 18, and the dealer has 9. Since your hand is already close to 21 (18 is 3 away from 21), and the dealer must hit until reaching 17+, it's optimal to **stand** to avoid the risk of the dealer improving their hand. Your hand is closer to 21 than the dealer's final hand, so it's a safe choice.<|im_end|> +================================================================================ + +[TRAINING] Step 15: Waiting for buffer to have enough data... +[BUFFER ADD] Added 16/16 episodes with policy_v=14 +[TRAINING] Step 15: Starting training + +================================================================================ +[ROLLOUT 83] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=15 +Dropping weights @ version 15 +Dropped weights @ version 15, took 0.73 seconds 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11-20 09:12:05 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:12:05 INFO Weight update completed (now v18) + +================================================================================ +[ROLLOUT 84] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 3 +Total tokens: 516, Trainable tokens: 248 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 5 + [2] assistant : HIT + +Your hand is 12, and the dealer has 5. Since the dealer must hit until reach... + [3] user : Hand: 15, Dealer: 5 + [4] assistant : HIT + +Your hand is 15, and the dealer has 5. The dealer is still weak (5), and it'... + [5] user : Hand: 19, Dealer: 5 + [6] assistant : STAND + +Your hand is 19, and the dealer has 5. The dealer is still weak (5), but y... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 12, and the dealer has 5. Since the dealer must hit until reaching 17+, and the dealer's hand is weak (5), it's advantageous to **hit** to improve your chances of getting closer to 21. The dealer will likely hit multiple times, increasing the likelihood of getting a strong hand.<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 15, and the dealer has 5. The dealer is still weak (5), and it's advantageous to **hit** to improve your chances of getting closer to 21. The dealer will likely hit multiple times, increasing the likelihood of getting a strong hand.<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND + +Your hand is 19, and the dealer has 5. The dealer is still weak (5), but your hand is already close to 21 (19 is 2 away from 21). Since you are ahead of the dealer's starting hand (5), it's reasonable to **stand** and protect your current position. The dealer will likely hit until reaching 17+, and you have a strong chance of winning.<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT + +Your hand is 12, and the dealer has 5. Since the dealer must hit until reaching 17+, and the dealer's hand is weak (5), it's advantageous to **hit** to improve your chances of getting closer to 21. The dealer will likely hit multiple times, increasing the likelihood of getting a strong hand.<|im_end|>HIT + +Your hand is 15, and the dealer has 5. The dealer is still weak (5), and it's advantageous to **hit** to improve your chances of getting closer to 21. The dealer will likely hit multiple times, increasing the likelihood of getting a strong hand.<|im_end|>STAND + +Your hand is 19, and the dealer has 5. The dealer is still weak (5), but your hand is already close to 21 (19 is 2 away from 21). Since you are ahead of the dealer's starting hand (5), it's reasonable to **stand** and protect your current position. The dealer will likely hit until reaching 17+, and you have a strong chance of winning.<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=16 +[TRAINING] Step 17: Starting training +Dropping weights @ version 17 +Dropped weights @ version 17, took 0.58 seconds +WandbBackend: Logged 127 metrics at step 18 +=== [global_reduce] - METRICS STEP 18 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 16.0 + buffer/episodes_accepted: 16.0 + buffer/episodes_generated: 16.0 + buffer/evict/sum_episodes_evicted: 16.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 1.0 + buffer/sample/avg_sampled_policy_age: 0.8125 + buffer/sample/count_sample_requests: 2.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0003684437833726406 + buffer_perf/sample/total_duration_max_s: 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+================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 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+[Generator-0/1] 2025-11-20 09:12:23 INFO [Generator] Fetching weights for v20 to shared memory +INFO 11-20 09:12:25 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:12:25 INFO Weight update completed (now v20) + +================================================================================ +[ROLLOUT 86] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 407, Trainable tokens: 160 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : HIT + +Your hand is 16, and the dealer's hand is 10. Since the dealer must hit unti... + [3] user : Hand: 18, Dealer: 10 + [4] assistant : STAND + +Your hand is 18, and the dealer's hand is 10. Since your hand is already c... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 16, and the dealer's hand is 10. Since the dealer must hit until reaching 17+, and your hand is close to 21 (just 5 away), it's a good idea to **hit** to improve your hand. The dealer will likely hit and eventually reach 17+ or bust, giving you a chance to win.<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND + +Your hand is 18, and the dealer's hand is 10. Since your hand is already closer to 21 (just 1 away) and the dealer must hit until reaching 17+, it's optimal to **stand** and avoid the risk of the dealer improving their hand.<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT + +Your hand is 16, and the dealer's hand is 10. Since the dealer must hit until reaching 17+, and your hand is close to 21 (just 5 away), it's a good idea to **hit** to improve your hand. The dealer will likely hit and eventually reach 17+ or bust, giving you a chance to win.<|im_end|>STAND + +Your hand is 18, and the dealer's hand is 10. Since your hand is already closer to 21 (just 1 away) and the dealer must hit until reaching 17+, it's optimal to **stand** and avoid the risk of the dealer improving their hand.<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=18 +[TRAINING] Step 19: Starting training + +================================================================================ +[ROLLOUT 87] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 413, Trainable tokens: 168 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 9 + [2] assistant : HIT + +Your hand is 18, and the dealer has 9. Since the dealer must hit until reach... + [3] user : Hand: 18, Dealer: 9 + [4] assistant : HIT + +Your hand is 18, and the dealer has 9. Since the dealer must hit until reach... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 18, and the dealer has 9. Since the dealer must hit until reaching 17+, and your hand is already close to 21 (only 3 away), it's wise to **hit** to improve your hand. The dealer will likely hit and eventually reach 17+ or bust, giving you a chance to win.<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 18, and the dealer has 9. Since the dealer must hit until reaching 17+, and your hand is already close to 21 (only 3 away), it's wise to **hit** to improve your hand. The dealer will likely hit and eventually reach 17+ or bust, giving you a chance to win.<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT + +Your hand is 18, and the dealer has 9. Since the dealer must hit until reaching 17+, and your hand is already close to 21 (only 3 away), it's wise to **hit** to improve your hand. The dealer will likely hit and eventually reach 17+ or bust, giving you a chance to win.<|im_end|>HIT + +Your hand is 18, and the dealer has 9. Since the dealer must hit until reaching 17+, and your hand is already close to 21 (only 3 away), it's wise to **hit** to improve your hand. 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Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get 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2025-11-20 09:12:41 INFO Weight update completed (now v22) + +================================================================================ +[ROLLOUT 89] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=20 +[TRAINING] Step 21: Starting training + +================================================================================ +[ROLLOUT 90] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 2 + [2] assistant : HIT + [3] user : Hand: 21, Dealer: 2 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 2<|im_end|> 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+================================================================================ +[ROLLOUT 91] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 2 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your 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+[Generator-0/1] 2025-11-20 09:12:58 INFO [Generator] Fetching weights for v24 to shared memory +INFO 11-20 09:13:00 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:13:00 INFO Weight update completed (now v24) + +================================================================================ +[ROLLOUT 92] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 295, Trainable tokens: 73 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 7 + [2] assistant : HIT + +Your hand is 20, which is close to 21. The dealer has 7, and they must hit u... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 20, which is close to 21. The dealer has 7, and they must hit until reaching 17+. Since you're already close to 21, it's wise to **HIT** to increase your score further and potentially reach 21 before the dealer.<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT + +Your hand is 20, which is close to 21. The dealer has 7, and they must hit until reaching 17+. Since you're already close to 21, it's wise to **HIT** to increase your score further and potentially reach 21 before the dealer.<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=22 +[TRAINING] Step 23: Starting training + +================================================================================ +[ROLLOUT 93] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 264, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 20, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> 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+================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 4 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=23 + +================================================================================ +[ROLLOUT 95] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 4 +Total tokens: 328, Trainable tokens: 33 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 12, Dealer: 10 + [4] assistant : HIT + [5] user : Hand: 15, Dealer: 10 + [6] assistant : HIT + [7] user : Hand: 17, Dealer: 10 + [8] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> 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+================================================================================ +[ROLLOUT 96] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 264, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 19, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your 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version 27 +[ReferenceModel-0/1] 2025-11-20 09:13:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:13:21 INFO Completed weights push in 2.93 seconds +[Generator-0/1] 2025-11-20 09:13:21 INFO [Generator] Fetching weights for v27 to shared memory +INFO 11-20 09:13:24 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:13:24 INFO Weight update completed (now v27) +[TRAINING] Step 26: Starting training + +================================================================================ +[ROLLOUT 97] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 446, Trainable tokens: 201 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : HIT + +Your hand is 13, and the dealer has 9. Since the dealer must hit until reach... + [3] user : Hand: 18, Dealer: 9 + [4] assistant : STAND + +Your hand is 18, and the dealer has 9. Since you are already close to 21 (... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 13, and the dealer has 9. Since the dealer must hit until reaching 17+, and you are not yet close to 21, it's wise to **hit** to improve your hand. Let's assume you hit and improve to 16 (for example). Now, the dealer will hit until reaching 17+. If the dealer busts, you win. If not, compare your total to the dealer's final total to see who is closer to 21.<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND + +Your hand is 18, and the dealer has 9. Since you are already close to 21 (only 3 points away), it's optimal to **stand** and avoid further risk. The dealer will hit until reaching 17+, and if they bust, you win. If they don't bust, compare your 18 to their final total.<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT + +Your hand is 13, and the dealer has 9. Since the dealer must hit until reaching 17+, and you are not yet close to 21, it's wise to **hit** to improve your hand. Let's assume you hit and improve to 16 (for example). Now, the dealer will hit until reaching 17+. If the dealer busts, you win. If not, compare your total to the dealer's final total to see who is closer to 21.<|im_end|>STAND + +Your hand is 18, and the dealer has 9. Since you are already close to 21 (only 3 points away), it's optimal to **stand** and avoid further risk. The dealer will hit until reaching 17+, and if they bust, you win. 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expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 7 + [2] assistant : HIT + +Your hand is 12, and the dealer has 7. Since the dealer must hit until reach... + [3] user : Hand: 21, Dealer: 7 + [4] assistant : STAND + +Your hand is already 21 (a perfect blackjack hand). Since the dealer has 7... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 12, and the dealer has 7. Since the dealer must hit until reaching 17+, and the dealer's current total is 7, they will likely hit. However, your hand is closer to 21 than the dealer's final hand if you hit and get to 17 or 18. Let's assume you hit and get to 17 (e.g., by drawing a 5). Then your hand is 17, and the dealer's final hand is likely 17 or higher. If your hand (17) is closer to 21 than the dealer's final hand (say 18), you win. + +In the best scenario, if you hit and get to 17, and the dealer hits and ends at 18, you win. + +So, the correct action is: +STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND + +Your hand is already 21 (a perfect blackjack hand). Since the dealer has 7, they will hit until reaching 17+. If the dealer ends up with a hand closer to 21 than yours (which is 21), you win. However, if the dealer busts, you also win. + +In the best scenario, if the dealer hits and ends at 17 or 18, your hand (21) is exactly 21, so you win. + +Thus, the correct action is: +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT + +Your hand is 12, and the dealer has 7. Since the dealer must hit until reaching 17+, and the dealer's current total is 7, they will likely hit. However, your hand is closer to 21 than the dealer's final hand if you hit and get to 17 or 18. Let's assume you hit and get to 17 (e.g., by drawing a 5). Then your hand is 17, and the dealer's final hand is likely 17 or higher. If your hand (17) is closer to 21 than the dealer's final hand (say 18), you win. + +In the best scenario, if you hit and get to 17, and the dealer hits and ends at 18, you win. + +So, the correct action is: +STAND<|im_end|>STAND + +Your hand is already 21 (a perfect blackjack hand). Since the dealer has 7, they will hit until reaching 17+. If the dealer ends up with a hand closer to 21 than yours (which is 21), you win. 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2025-11-20 09:13:51 INFO Weight update completed (now v29) + +================================================================================ +[ROLLOUT 99] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 476, Trainable tokens: 255 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: Ace + [2] assistant : HIT + +Your hand is 16, and the dealer has an Ace (1 or 11). Since the dealer must ... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 16, and the dealer has an Ace (1 or 11). Since the dealer must hit until reaching 17, and Ace is worth 11, the dealer's hand is currently 11. The dealer will continue to draw cards until they reach 17 or higher. + +Your current hand is 16, which is 5 away from 21. The dealer's hand is 11, which is 10 away from 21. Since the dealer is likely to get closer to 21, it's a strategic move to HIT to get closer to 21. + +**Action: HIT** +**New hand: 17** (if the dealer draws a 1) or **16 + 1 = 17** (if the dealer draws a 10). +**New dealer hand: 11 + 1 = 12** (if dealer draws a 1). + +If the dealer reaches 17 or higher, the game proceeds. If the dealer busts, you win. If the dealer is closer to 21 than you, you lose. + +Keep playing!<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT + +Your hand is 16, and the dealer has an Ace (1 or 11). Since the dealer must hit until reaching 17, and Ace is worth 11, the dealer's hand is currently 11. The dealer will continue to draw cards until they reach 17 or higher. + +Your current hand is 16, which is 5 away from 21. The dealer's hand is 11, which is 10 away from 21. Since the dealer is likely to get closer to 21, it's a strategic move to HIT to get closer to 21. + +**Action: HIT** +**New hand: 17** (if the dealer draws a 1) or **16 + 1 = 17** (if the dealer draws a 10). +**New dealer hand: 11 + 1 = 12** (if dealer draws a 1). + +If the dealer reaches 17 or higher, the game proceeds. If the dealer busts, you win. If the dealer is closer to 21 than you, you lose. + +Keep playing!<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=27 +[TRAINING] Step 28: Starting training + +================================================================================ +[ROLLOUT 100] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 315, Trainable tokens: 92 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : HIT + +Your hand is 15, and the dealer has 10. Since the dealer must hit until reac... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 15, and the dealer has 10. Since the dealer must hit until reaching 17+, and 10 is below 17, the dealer will likely hit. However, your hand is closer to 21 than the dealer's final hand (which we'll need to see), so you should **HIT** to try to get closer to 21.<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT + +Your hand is 15, and the dealer has 10. Since the dealer must hit until reaching 17+, and 10 is below 17, the dealer will likely hit. 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2025-11-20 09:14:01 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:14:02 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:14:03 INFO Pushing weights for policy version 31 +[TitanTrainer-0/1] 2025-11-20 09:14:06 INFO Completed weights push in 3.11 seconds +[Generator-0/1] 2025-11-20 09:14:06 INFO [Generator] Fetching weights for v31 to shared memory +INFO 11-20 09:14:09 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:14:09 INFO Weight update completed (now v31) +[ReferenceModel-0/1] 2025-11-20 09:14:09 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 30: Waiting for buffer to have enough data... +[TRAINING] Step 30: Waiting for buffer to have enough data... + +================================================================================ +[ROLLOUT 101] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 3 +Total tokens: 488, Trainable tokens: 220 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 8 + [2] assistant : HIT + +Your hand is 12, and the dealer has 8. Since the dealer must hit until reach... + [3] user : Hand: 15, Dealer: 8 + [4] assistant : HIT + +Your hand is 15, and the dealer has 8. The dealer is very weak (only 8), and... + [5] user : Hand: 18, Dealer: 8 + [6] assistant : STAND + +Your hand is 18, and the dealer has 8. The dealer is very weak (only 8), a... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 12, and the dealer has 8. Since the dealer must hit until reaching 17+, and 8 is very weak, the best strategy is to **hit** to improve your chances of reaching 21. Let's see what happens next.<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 15, and the dealer has 8. The dealer is very weak (only 8), and you have a strong hand (15). It's optimal to **hit** again to improve your chances of reaching 21. Let's see what happens next.<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND + +Your hand is 18, and the dealer has 8. The dealer is very weak (only 8), and you have a strong hand (18). It's optimal to **stand** to avoid the risk of the dealer hitting and potentially busting or improving against you. Your hand is already close to 21, and you're in a strong position.<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT + +Your hand is 12, and the dealer has 8. Since the dealer must hit until reaching 17+, and 8 is very weak, the best strategy is to **hit** to improve your chances of reaching 21. Let's see what happens next.<|im_end|>HIT + +Your hand is 15, and the dealer has 8. The dealer is very weak (only 8), and you have a strong hand (15). It's optimal to **hit** again to improve your chances of reaching 21. Let's see what happens next.<|im_end|>STAND + +Your hand is 18, and the dealer has 8. The dealer is very weak (only 8), and you have a strong hand (18). It's optimal to **stand** to avoid the risk of the dealer hitting and potentially busting or improving against you. Your hand is already close to 21, and you're in a strong position.<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=29 +[TRAINING] Step 30: Starting training +Dropping weights @ version 30 + +================================================================================ +[ROLLOUT 102] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 304, Trainable tokens: 81 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : HIT + +Your hand is 18, and the dealer has 10. Since the dealer must hit until reac... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 18, and the dealer has 10. Since the dealer must hit until reaching 17+, it's likely the dealer will draw a card to get closer to 21. Taking another card could bring the dealer's hand closer to 21. You should **HIT** to try to improve your own hand.<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT + +Your hand is 18, and the dealer has 10. Since the dealer must hit until reaching 17+, it's likely the dealer will draw a card to get closer to 21. Taking another card could bring the dealer's hand closer to 21. 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+[TitanTrainer-0/1] 2025-11-20 09:14:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:14:22 INFO Pushing weights for policy version 33 +[ReferenceModel-0/1] 2025-11-20 09:14:25 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:14:25 INFO Completed weights push in 2.82 seconds +[Generator-0/1] 2025-11-20 09:14:25 INFO [Generator] Fetching weights for v33 to shared memory +INFO 11-20 09:14:28 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:14:28 INFO Weight update completed (now v33) + +================================================================================ +[ROLLOUT 103] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 354, Trainable tokens: 132 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 8 + [2] assistant : HIT + +Your hand is 12, and the dealer has 8. Since the dealer must hit until reach... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 12, and the dealer has 8. Since the dealer must hit until reaching 17+, it's reasonable to **hit**. If you hit, you'll get another card. Let's assume the dealer draws a 10, making their total 18. Then the dealer will **stand** (since 18 is less than 17+). + +If your hand is closer to 21 than the dealer's final hand (18), you win. If the dealer busts, you win as well. + +Let me know your next move!<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT + +Your hand is 12, and the dealer has 8. Since the dealer must hit until reaching 17+, it's reasonable to **hit**. If you hit, you'll get another card. Let's assume the dealer draws a 10, making their total 18. Then the dealer will **stand** (since 18 is less than 17+). + +If your hand is closer to 21 than the dealer's final hand (18), you win. If the dealer busts, you win as well. + +Let me know your next move!<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=31 +[TRAINING] Step 32: Starting training + +================================================================================ +[ROLLOUT 104] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 313, Trainable tokens: 91 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 5 + [2] assistant : HIT + +Your hand is 12, and the dealer has 5. Since the dealer must hit until reach... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 12, and the dealer has 5. Since the dealer must hit until reaching 17+, it's likely the dealer will hit and eventually reach 17 or higher. Your hand is closer to 21 than the dealer's final hand (which may be higher), so it's better to **hit** to increase your total and potentially get closer to 21.<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT + +Your hand is 12, and the dealer has 5. Since the dealer must hit until reaching 17+, it's likely the dealer will hit and eventually reach 17 or higher. 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+================================================================================ +[ROLLOUT 105] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 292, Trainable tokens: 69 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : HIT +You have 16, and the dealer has 10. Since the dealer must hit until reaching ... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT +You have 16, and the dealer has 10. Since the dealer must hit until reaching 17+, it's reasonable to hit. A 16-hand is close to 17, and hitting could get you closer to 21. Let's see what happens.<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT +You have 16, and the dealer has 10. Since the dealer must hit until reaching 17+, it's reasonable to hit. A 16-hand is close to 17, and hitting could get you closer to 21. 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+================================================================================ +[ROLLOUT 106] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your 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+[TitanTrainer-0/1] 2025-11-20 09:14:57 INFO Completed weights push in 2.53 seconds +[Generator-0/1] 2025-11-20 09:14:57 INFO [Generator] Fetching weights for v36 to shared memory +INFO 11-20 09:15:00 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:15:00 INFO Weight update completed (now v36) +[ReferenceModel-0/1] 2025-11-20 09:15:00 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 35: Waiting for buffer to have enough data... +[TRAINING] Step 35: Waiting for buffer to have enough data... + +================================================================================ +[ROLLOUT 107] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 382, Trainable tokens: 135 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : HIT + +Your hand is 16, and the dealer has 10. Since the dealer must hit until reac... + [3] user : Hand: 20, Dealer: 10 + [4] assistant : STAND + +Your hand is 20, and the dealer has 10. Since you have already reached 21 ... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 16, and the dealer has 10. Since the dealer must hit until reaching 17+, it's advantageous to **HIT** because 16 is close to 17, and the dealer is likely to draw a card to reach 17 or higher. Let's see what happens.<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND + +Your hand is 20, and the dealer has 10. Since you have already reached 21 (which is a win), you **stand**. The dealer will continue to hit until reaching 17 or higher.<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT + +Your hand is 16, and the dealer has 10. Since the dealer must hit until reaching 17+, it's advantageous to **HIT** because 16 is close to 17, and the dealer is likely to draw a card to reach 17 or higher. Let's see what happens.<|im_end|>STAND + +Your hand is 20, and the dealer has 10. Since you have already reached 21 (which is a win), you **stand**. The dealer will continue to hit until reaching 17 or higher.<|im_end|> +================================================================================ + +[TRAINING] Step 35: Waiting for buffer to have enough data... +[BUFFER ADD] Added 16/16 episodes with policy_v=34 +[TRAINING] Step 35: Starting training + +================================================================================ +[ROLLOUT 108] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 325, Trainable tokens: 103 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 9 + [2] assistant : HIT + +Your hand is 14, and the dealer has 9. Since the dealer must hit until reach... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 14, and the dealer has 9. Since the dealer must hit until reaching 17+, and you are not yet over 21, it's reasonable to **HIT** to improve your hand. If you hit and get a 5 (e.g., 14 + 5 = 19), you're closer to 21. If you hit and go over 21, you bust and lose.<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT + +Your hand is 14, and the dealer has 9. Since the dealer must hit until reaching 17+, and you are not yet over 21, it's reasonable to **HIT** to improve your hand. If you hit and get a 5 (e.g., 14 + 5 = 19), you're closer to 21. If you hit and go over 21, you bust and lose.<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=35 +Dropping weights @ version 35 + +================================================================================ +[ROLLOUT 109] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 299, Trainable tokens: 77 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 7 + [2] assistant : HIT + +Your hand is 16, and the dealer has 7. Since the dealer must hit until reach... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 16, and the dealer has 7. Since the dealer must hit until reaching 17+, and your hand is 16 (closer to 21 than the dealer's 7), it's optimal to **hit** to increase your total and potentially reach 21 or avoid busting.<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT + +Your hand is 16, and the dealer has 7. 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Treating as STAND + +================================================================================ +[ROLLOUT 110] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 328, Trainable tokens: 106 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 4 + [2] assistant : HIT + +Your hand is 16, and the dealer has 4. Since the dealer must hit until reach... + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT + +Your hand is 16, and the dealer has 4. Since the dealer must hit until reaching 17, and your hand is close to 21 (16 is 5 away from 21), it's a good idea to **HIT** to improve your hand. If you hit, you can get closer to 21 or bust. Let's assume you hit and get a 5 (total 21), which is a win.<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT + +Your hand is 16, and the dealer has 4. Since the dealer must hit until reaching 17, and your hand is close to 21 (16 is 5 away from 21), it's a good idea to **HIT** to improve your hand. If you hit, you can get closer to 21 or bust. 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Weight update completed (now v38) +[ReferenceModel-0/1] 2025-11-20 09:15:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 37: Starting training + +================================================================================ +[ROLLOUT 111] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 263, Trainable tokens: 16 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 14, Dealer: 10 + [4] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=36 + +================================================================================ +[ROLLOUT 112] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=37 +Dropping weights @ version 37 + +================================================================================ +[ROLLOUT 113] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + 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+================================================================================ +[ROLLOUT 114] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=38 +Dropping weights @ version 38 + +================================================================================ +[ROLLOUT 115] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 261, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 5, Dealer: 3 + [2] assistant : HIT + [3] user : Hand: 15, Dealer: 3 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 5, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user 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+================================================================================ +[ROLLOUT 116] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 229, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- 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INFO Completed weights push in 2.64 seconds +[Generator-0/1] 2025-11-20 09:15:34 INFO [Generator] Fetching weights for v41 to shared memory +INFO 11-20 09:15:37 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:15:37 INFO Weight update completed (now v41) +[ReferenceModel-0/1] 2025-11-20 09:15:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 40: Waiting for buffer to have enough data... +[BUFFER ADD] Added 16/16 episodes with policy_v=39 +[TRAINING] Step 40: Starting training + +================================================================================ +[ROLLOUT 117] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=40 + +================================================================================ +[ROLLOUT 118] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=40 + +================================================================================ +[ROLLOUT 119] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=40 +Dropping weights @ version 40 + +================================================================================ +[ROLLOUT 120] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=40 +Dropped weights @ version 40, took 0.84 seconds +WandbBackend: Logged 127 metrics at step 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+[TitanTrainer-0/1] 2025-11-20 09:15:38 INFO Pushing weights for policy version 42 +[ReferenceModel-0/1] 2025-11-20 09:15:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:15:39 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:15:41 INFO Completed weights push in 2.56 seconds +[Generator-0/1] 2025-11-20 09:15:41 INFO [Generator] Fetching weights for v42 to shared memory +[ReferenceModel-0/1] 2025-11-20 09:15:41 INFO [GC] Performing periodic GC collection took 0.00 seconds +INFO 11-20 09:15:43 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:15:43 INFO Weight update completed (now v42) +[TRAINING] Step 41: Starting training + +================================================================================ +[ROLLOUT 121] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=41 + +================================================================================ +[ROLLOUT 122] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=41 + +================================================================================ +[ROLLOUT 123] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 3 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=41 +Dropping weights @ version 41 +Dropped weights @ version 41, took 0.78 seconds +WandbBackend: Logged 127 metrics at step 42 +=== [global_reduce] - METRICS STEP 42 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 48.0 + buffer/episodes_accepted: 48.0 + buffer/episodes_generated: 48.0 + buffer/evict/sum_episodes_evicted: 22.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.25 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collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:15:47 INFO Completed weights push in 2.42 seconds +[Generator-0/1] 2025-11-20 09:15:47 INFO [Generator] Fetching weights for v43 to shared memory +INFO 11-20 09:15:49 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:15:49 INFO Weight update completed (now v43) +[TRAINING] Step 42: Starting training + +================================================================================ +[ROLLOUT 124] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=42 + +================================================================================ +[ROLLOUT 125] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 9 + [2] assistant : HIT + [3] user : Hand: 17, Dealer: 9 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=42 + +================================================================================ +[ROLLOUT 126] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 3 +Total tokens: 295, Trainable tokens: 25 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 14, Dealer: 10 + [4] assistant : HIT + [5] user : Hand: 20, Dealer: 10 + [6] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=42 +Dropping weights @ version 42 +Dropped weights @ version 42, took 0.72 seconds +WandbBackend: Logged 125 metrics at step 43 +=== [global_reduce] - METRICS STEP 43 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 48.0 + buffer/episodes_accepted: 48.0 + buffer/episodes_generated: 48.0 + 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+[TitanTrainer-0/1] 2025-11-20 09:15:52 INFO Completed weights push in 2.33 seconds +[Generator-0/1] 2025-11-20 09:15:52 INFO [Generator] Fetching weights for v44 to shared memory +INFO 11-20 09:15:55 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:15:55 INFO Weight update completed (now v44) +[ReferenceModel-0/1] 2025-11-20 09:15:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 43: Starting training + +================================================================================ +[ROLLOUT 127] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 6 + [2] assistant : HIT + [3] user : Hand: 21, Dealer: 6 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=43 + +================================================================================ +[ROLLOUT 128] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=43 +Dropping weights @ version 43 + +================================================================================ +[ROLLOUT 129] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : HIT + [3] user : Hand: 16, Dealer: 9 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=43 +Dropped weights @ version 43, took 0.81 seconds +WandbBackend: Logged 127 metrics at step 44 +=== [global_reduce] - METRICS STEP 44 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 48.0 + buffer/episodes_accepted: 48.0 + buffer/episodes_generated: 48.0 + buffer/evict/sum_episodes_evicted: 48.0 + buffer/rate_rejected_truncated: 0.0 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loss_debug/advantages_min: -0.8538709878921509 + loss_debug/advantages_std: 1.0489143133163452 + loss_debug/batch_size: 16.0 + loss_debug/beta_times_kl_mean: 0.0192036721855402 + loss_debug/final_loss: 0.048721183091402054 + loss_debug/kl_max: 5.50053071975708 + loss_debug/kl_mean: 0.1920367181301117 + loss_debug/kl_min: -5.960464477539063e-08 + loss_debug/kl_std: 0.8725147247314453 + loss_debug/logprob_diff_max: 0.017441019415855408 + loss_debug/logprob_diff_mean: -0.2667774260044098 + loss_debug/logprob_diff_min: -6.499025821685791 + loss_debug/logprobs_max: 0.0 + loss_debug/logprobs_mean: -0.08100861310958862 + loss_debug/logprobs_min: -10.750020980834961 + loss_debug/logprobs_std: 0.8354249000549316 + loss_debug/num_trainable_tokens: 188.0 + loss_debug/per_token_loss_max: 1.4039241075515747 + loss_debug/per_token_loss_mean: 0.08645696938037872 + loss_debug/per_token_loss_min: -1.6769572496414185 + loss_debug/policy_loss_max: 1.6769572496414185 + loss_debug/policy_loss_mean: 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rl_trainer_perf/step/memory_peak_max_gb: 18.763476848602295 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0031130528077483177 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0031130528077483177 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.04008889198303223 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.04008889198303223 + rl_trainer_perf/step/total_duration_avg_s: 0.21503229346126318 + rl_trainer_perf/step/total_duration_max_s: 0.21503229346126318 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:15:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:15:57 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:15:57 INFO Pushing weights for policy version 45 +[ReferenceModel-0/1] 2025-11-20 09:15:58 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:16:00 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:16:00 INFO Completed weights push in 2.50 seconds +[Generator-0/1] 2025-11-20 09:16:00 INFO [Generator] Fetching weights for v45 to shared memory +INFO 11-20 09:16:03 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:16:03 INFO Weight update completed (now v45) +[TRAINING] Step 44: Starting training + +================================================================================ +[ROLLOUT 130] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : HIT + [3] user : Hand: 15, Dealer: 9 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=44 + +================================================================================ +[ROLLOUT 131] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 260, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: Ace + [2] assistant : HIT + [3] user : Hand: 17, Dealer: Ace + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 17, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=44 + +================================================================================ +[ROLLOUT 132] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=44 +Dropping weights @ version 44 +Dropped weights @ version 44, took 0.74 seconds +WandbBackend: Logged 127 metrics at step 45 +=== [global_reduce] - METRICS STEP 45 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 48.0 + buffer/episodes_accepted: 48.0 + buffer/episodes_generated: 48.0 + buffer/evict/sum_episodes_evicted: 48.0 + buffer/rate_rejected_truncated: 0.0 + 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+[TitanTrainer-0/1] 2025-11-20 09:16:06 INFO Completed weights push in 2.34 seconds +[Generator-0/1] 2025-11-20 09:16:06 INFO [Generator] Fetching weights for v46 to shared memory +INFO 11-20 09:16:09 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:16:09 INFO Weight update completed (now v46) +[ReferenceModel-0/1] 2025-11-20 09:16:09 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 45: Starting training + +================================================================================ +[ROLLOUT 133] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=44 + +================================================================================ +[ROLLOUT 134] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 261, Trainable tokens: 16 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 3 + [2] assistant : HIT + [3] user : Hand: 13, Dealer: 3 + [4] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=45 +Dropping weights @ version 45 + +================================================================================ +[ROLLOUT 135] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 229, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=45 +Dropped weights @ version 45, took 0.81 seconds +WandbBackend: Logged 127 metrics at step 46 +=== [global_reduce] - METRICS STEP 46 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 48.0 + buffer/episodes_accepted: 48.0 + buffer/episodes_generated: 48.0 + buffer/evict/sum_episodes_evicted: 42.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.2962962962962963 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + 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collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:16:13 INFO Completed weights push in 2.40 seconds +[Generator-0/1] 2025-11-20 09:16:13 INFO [Generator] Fetching weights for v47 to shared memory +INFO 11-20 09:16:16 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:16:16 INFO Weight update completed (now v47) +[ReferenceModel-0/1] 2025-11-20 09:16:17 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 46: Starting training + +================================================================================ +[ROLLOUT 136] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 9 + [2] assistant : HIT + [3] user : Hand: 16, Dealer: 9 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=46 + +================================================================================ +[ROLLOUT 137] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 9 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=46 + +================================================================================ +[ROLLOUT 138] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=46 +Dropping weights @ version 46 + +================================================================================ +[ROLLOUT 139] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> 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1.594454376026988 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:16:17 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:16:17 INFO Pushing weights for policy version 48 +[ReferenceModel-0/1] 2025-11-20 09:16:18 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:16:19 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:16:20 INFO Completed weights push in 2.43 seconds +[Generator-0/1] 2025-11-20 09:16:20 INFO [Generator] Fetching weights for v48 to shared memory +INFO 11-20 09:16:22 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:16:22 INFO Weight update completed (now v48) +[TRAINING] Step 47: Starting training +[BUFFER ADD] Added 16/16 episodes with policy_v=46 + +================================================================================ +[ROLLOUT 140] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 8 + [2] assistant : HIT + [3] user : Hand: 18, Dealer: 8 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=47 + +================================================================================ +[ROLLOUT 141] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 2 + [2] assistant : HIT + [3] user : Hand: 21, Dealer: 2 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=47 +Dropping weights @ version 47 +Dropped weights @ version 47, took 0.82 seconds +WandbBackend: Logged 127 metrics at step 48 +=== [global_reduce] - METRICS STEP 48 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 40.0 + buffer/episodes_accepted: 48.0 + buffer/episodes_generated: 48.0 + buffer/evict/sum_episodes_evicted: 42.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.25 + buffer/sample/avg_sampled_policy_age: 0.8125 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + 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0.00 seconds +INFO 11-20 09:16:28 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:16:28 INFO Weight update completed (now v49) +[TRAINING] Step 48: Starting training + +================================================================================ +[ROLLOUT 142] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=47 + +================================================================================ +[ROLLOUT 143] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=48 + +================================================================================ +[ROLLOUT 144] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 261, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 5, Dealer: 7 + [2] assistant : HIT + [3] user : Hand: 15, Dealer: 7 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 5, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> 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+[Generator-0/1] 2025-11-20 09:16:36 INFO Weight update completed (now v50) +[ReferenceModel-0/1] 2025-11-20 09:16:36 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 49: Starting training + +================================================================================ +[ROLLOUT 145] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=49 + +================================================================================ +[ROLLOUT 146] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 261, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 6 + [2] assistant : HIT + [3] user : Hand: 18, Dealer: 6 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=49 + +================================================================================ +[ROLLOUT 147] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=49 +Dropping weights @ version 49 + +================================================================================ +[ROLLOUT 148] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 6 + [2] assistant : HIT + [3] user : Hand: 17, Dealer: 6 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=49 +Dropped weights @ version 49, took 0.82 seconds +WandbBackend: Logged 127 metrics at step 50 +=== [global_reduce] - METRICS STEP 50 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 42.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.3404255319148936 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + buffer_perf/sample/total_duration_avg_s: 0.0010018199682235718 + buffer_perf/sample/total_duration_max_s: 0.0010018199682235718 + episode/total_tokens: 249.29508196721312 + episode/turns: 1.5901639344262295 + game/average_turns: 1.5901639344262295 + game/env_reward: -0.09836065573770492 + game/games_played: 61.0 + game/invalid_action_rate: 0.0 + 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generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5605334220454097 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5605334220454097 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7952096164226532 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7952096164226532 + groups/rate_dropped: 0.0 + loss_debug/advantages_max: 1.6769572496414185 + loss_debug/advantages_mean: -0.07486142218112946 + loss_debug/advantages_min: -1.0978341102600098 + loss_debug/advantages_std: 0.9993404746055603 + loss_debug/batch_size: 16.0 + loss_debug/beta_times_kl_mean: 0.018924523144960403 + loss_debug/final_loss: 0.09382425248622894 + loss_debug/kl_max: 5.252355098724365 + loss_debug/kl_mean: 0.18924523890018463 + loss_debug/kl_min: -5.960464477539063e-08 + loss_debug/kl_std: 0.8315784931182861 + loss_debug/logprob_diff_max: 0.6912215352058411 + loss_debug/logprob_diff_mean: -0.25749239325523376 + 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1.5828873571008444 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:16:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:16:37 INFO Pushing weights for policy version 51 +[ReferenceModel-0/1] 2025-11-20 09:16:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:16:39 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:16:39 INFO Completed weights push in 2.40 seconds +[Generator-0/1] 2025-11-20 09:16:39 INFO [Generator] Fetching weights for v51 to shared memory +INFO 11-20 09:16:42 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:16:42 INFO Weight update completed (now v51) +[ReferenceModel-0/1] 2025-11-20 09:16:42 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 50: Starting training + +================================================================================ +[ROLLOUT 149] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=50 + +================================================================================ +[ROLLOUT 150] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 2 +Total tokens: 264, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 21, Dealer: 10 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=50 +Dropping weights @ version 50 + +================================================================================ +[ROLLOUT 151] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=50 +Dropped weights @ version 50, took 0.85 seconds +WandbBackend: Logged 127 metrics at step 51 +=== [global_reduce] - METRICS STEP 51 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 48.0 + buffer/episodes_accepted: 48.0 + buffer/episodes_generated: 48.0 + buffer/evict/sum_episodes_evicted: 47.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.25 + buffer/sample/avg_sampled_policy_age: 0.9375 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.001049683429300785 + buffer_perf/sample/total_duration_max_s: 0.001049683429300785 + episode/total_tokens: 247.47727272727272 + episode/turns: 1.5227272727272727 + game/average_turns: 1.5227272727272727 + game/env_reward: -0.09090909090909091 + game/games_played: 44.0 + game/invalid_action_rate: 0.0 + game/win_rate: 0.3409090909090909 + generator/generate/avg_tokens_generated: 8.441176470588236 + 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2025-11-20 09:16:43 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:16:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:16:45 INFO Pushing weights for policy version 52 +[ReferenceModel-0/1] 2025-11-20 09:16:46 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:16:47 INFO Completed weights push in 2.39 seconds +[Generator-0/1] 2025-11-20 09:16:47 INFO [Generator] Fetching weights for v52 to shared memory +[ReferenceModel-0/1] 2025-11-20 09:16:47 INFO [GC] Performing periodic GC collection took 0.00 seconds +INFO 11-20 09:16:50 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:16:50 INFO Weight update completed (now v52) +[TRAINING] Step 51: Starting training + +================================================================================ +[ROLLOUT 152] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=51 + +================================================================================ +[ROLLOUT 153] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=51 + +================================================================================ +[ROLLOUT 154] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=51 +Dropping weights @ version 51 +Dropped weights @ version 51, took 0.79 seconds +WandbBackend: Logged 127 metrics at step 52 +=== [global_reduce] - METRICS STEP 52 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 48.0 + buffer/episodes_accepted: 48.0 + buffer/episodes_generated: 48.0 + buffer/evict/sum_episodes_evicted: 61.0 + buffer/rate_rejected_truncated: 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seconds +[TitanTrainer-0/1] 2025-11-20 09:16:52 INFO Pushing weights for policy version 53 +[ReferenceModel-0/1] 2025-11-20 09:16:54 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:16:55 INFO Completed weights push in 2.30 seconds +[Generator-0/1] 2025-11-20 09:16:55 INFO [Generator] Fetching weights for v53 to shared memory +INFO 11-20 09:16:57 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:16:57 INFO Weight update completed (now v53) +[ReferenceModel-0/1] 2025-11-20 09:16:57 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 52: Starting training + +================================================================================ +[ROLLOUT 155] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 262, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 9 + [2] assistant : HIT + [3] user : Hand: 13, Dealer: 9 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=52 + +================================================================================ +[ROLLOUT 156] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 5 + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=52 + +================================================================================ +[ROLLOUT 157] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=52 +Dropping weights @ version 52 + +================================================================================ +[ROLLOUT 158] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=52 +Dropped weights @ version 52, took 0.90 seconds +WandbBackend: Logged 127 metrics at step 53 +=== [global_reduce] - METRICS STEP 53 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 48.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.3137254901960784 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + buffer_perf/sample/total_duration_avg_s: 0.0010550301522016525 + buffer_perf/sample/total_duration_max_s: 0.0010550301522016525 + 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INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 53: Starting training + +================================================================================ +[ROLLOUT 159] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 261, Trainable tokens: 16 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 6 + [2] assistant : HIT + [3] user : Hand: 12, Dealer: 6 + [4] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=53 + +================================================================================ +[ROLLOUT 160] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 229, Trainable tokens: 8 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: Ace + [2] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=53 +Dropping weights @ version 53 + +================================================================================ +[ROLLOUT 161] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 3 +Total tokens: 292, Trainable tokens: 25 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 4 + [2] assistant : HIT + [3] user : Hand: 16, Dealer: 4 + [4] assistant : HIT + [5] user : Hand: 19, Dealer: 4 + [6] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=53 +Dropped weights @ version 53, took 0.77 seconds +WandbBackend: Logged 127 metrics at step 54 +=== [global_reduce] - METRICS STEP 54 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 48.0 + buffer/episodes_accepted: 48.0 + buffer/episodes_generated: 48.0 + buffer/evict/sum_episodes_evicted: 51.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.25 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + 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2025-11-20 09:17:09 INFO Weight update completed (now v55) +[TRAINING] Step 54: Starting training + +================================================================================ +[ROLLOUT 162] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 261, Trainable tokens: 17 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 3 + [2] assistant : HIT + [3] user : Hand: 17, Dealer: 3 + [4] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=54 + +================================================================================ +[ROLLOUT 163] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=54 +Dropping weights @ version 54 +Dropped weights @ version 54, took 0.84 seconds +WandbBackend: Logged 127 metrics at step 55 +=== [global_reduce] - METRICS STEP 55 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 32.0 + buffer/episodes_accepted: 32.0 + buffer/episodes_generated: 32.0 + buffer/evict/sum_episodes_evicted: 62.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.32 + buffer/sample/avg_sampled_policy_age: 0.875 + buffer/sample/count_sample_requests: 1.0 + 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rl_trainer_perf/step/memory_peak_max_gb: 17.969362258911133 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0027267970144748688 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0027267970144748688 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.022062532603740692 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.022062532603740692 + rl_trainer_perf/step/total_duration_avg_s: 0.19942304026335478 + rl_trainer_perf/step/total_duration_max_s: 0.19942304026335478 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:17:10 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:17:10 INFO Pushing weights for policy version 56 +[ReferenceModel-0/1] 2025-11-20 09:17:11 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:17:12 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:17:13 INFO Completed weights push in 2.62 seconds +[Generator-0/1] 2025-11-20 09:17:13 INFO [Generator] Fetching weights for v56 to shared memory +INFO 11-20 09:17:16 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:17:16 INFO Weight update completed (now v56) +[ReferenceModel-0/1] 2025-11-20 09:17:16 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 55: Starting training + +================================================================================ +[ROLLOUT 164] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 3 +Total tokens: 292, Trainable tokens: 24 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 7 + [2] assistant : HIT + [3] user : Hand: 12, Dealer: 7 + [4] assistant : HIT + [5] user : Hand: 14, Dealer: 7 + [6] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>HIT<|im_end|>HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=54 + +================================================================================ +[ROLLOUT 165] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=55 +Dropping weights @ version 55 + +================================================================================ +[ROLLOUT 166] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 3 +Total tokens: 296, Trainable tokens: 25 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 15, Dealer: 10 + [4] assistant : HIT + [5] user : Hand: 17, Dealer: 10 + [6] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=55 +Dropped weights @ version 55, took 0.91 seconds +WandbBackend: Logged 127 metrics at step 56 +=== [global_reduce] - METRICS STEP 56 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 48.0 + buffer/episodes_accepted: 48.0 + buffer/episodes_generated: 48.0 + buffer/evict/sum_episodes_evicted: 46.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.4444444444444444 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + buffer_perf/sample/total_duration_avg_s: 0.000996232032775879 + buffer_perf/sample/total_duration_max_s: 0.000996232032775879 + episode/total_tokens: 247.48979591836735 + episode/turns: 1.530612244897959 + game/average_turns: 1.530612244897959 + game/env_reward: -0.08163265306122448 + game/games_played: 49.0 + game/invalid_action_rate: 0.0 + game/win_rate: 0.40816326530612246 + generator/generate/avg_tokens_generated: 8.554054054054054 + generator/generate/count_requests: 74.0 + 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+[TitanTrainer-0/1] 2025-11-20 09:17:17 INFO Pushing weights for policy version 57 +[ReferenceModel-0/1] 2025-11-20 09:17:17 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:17:18 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:17:19 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:17:19 INFO Completed weights push in 2.58 seconds +[Generator-0/1] 2025-11-20 09:17:19 INFO [Generator] Fetching weights for v57 to shared memory +INFO 11-20 09:17:22 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:17:22 INFO Weight update completed (now v57) +[ReferenceModel-0/1] 2025-11-20 09:17:23 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 56: Starting training + +================================================================================ +[ROLLOUT 167] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=56 + +================================================================================ +[ROLLOUT 168] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 4 +Total tokens: 328, Trainable tokens: 33 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 10 + [2] assistant : HIT + [3] user : Hand: 14, Dealer: 10 + [4] assistant : HIT + [5] user : Hand: 15, Dealer: 10 + [6] assistant : HIT + [7] user : Hand: 19, Dealer: 10 + [8] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>HIT<|im_end|>HIT<|im_end|>STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=56 + +================================================================================ +[ROLLOUT 169] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 6 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=56 +Dropping weights @ version 56 + +================================================================================ +[ROLLOUT 170] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and 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+[ReferenceModel-0/1] 2025-11-20 09:17:26 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:17:26 INFO Completed weights push in 2.61 seconds +[Generator-0/1] 2025-11-20 09:17:26 INFO [Generator] Fetching weights for v58 to shared memory +INFO 11-20 09:17:29 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:17:29 INFO Weight update completed (now v58) +[ReferenceModel-0/1] 2025-11-20 09:17:29 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 57: Starting training +[BUFFER ADD] Added 16/16 episodes with policy_v=56 + +================================================================================ +[ROLLOUT 171] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 2 +Total tokens: 260, Trainable tokens: 16 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 6 + [2] assistant : HIT + [3] user : Hand: 15, Dealer: 6 + [4] assistant : HIT + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +HIT<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +HIT<|im_end|>HIT<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=57 + +================================================================================ +[ROLLOUT 172] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=57 +Dropping weights @ version 57 + +================================================================================ +[ROLLOUT 173] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +Dropped weights @ version 57, took 0.82 seconds +WandbBackend: Logged 125 metrics at step 58 +=== [global_reduce] - METRICS STEP 58 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 48.0 + buffer/episodes_accepted: 48.0 + buffer/episodes_generated: 48.0 + buffer/evict/sum_episodes_evicted: 46.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.32653061224489793 + buffer/sample/avg_sampled_policy_age: 1.0 + 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0.002860470674932003 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.023076321929693222 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.023076321929693222 + rl_trainer_perf/step/total_duration_avg_s: 0.19590444955974817 + rl_trainer_perf/step/total_duration_max_s: 0.19590444955974817 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:17:29 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:17:31 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:17:31 INFO Pushing weights for policy version 59 +[ReferenceModel-0/1] 2025-11-20 09:17:32 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:17:32 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:17:33 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:17:34 INFO Completed weights push in 3.03 seconds +[Generator-0/1] 2025-11-20 09:17:34 INFO [Generator] Fetching weights for v59 to shared memory +INFO 11-20 09:17:37 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:17:37 INFO Weight update completed (now v59) +[TRAINING] Step 58: Starting training +[BUFFER ADD] Added 16/16 episodes with policy_v=57 + +================================================================================ +[ROLLOUT 174] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=58 + +================================================================================ +[ROLLOUT 175] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=58 + +================================================================================ +[ROLLOUT 176] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=58 + +================================================================================ +[ROLLOUT 177] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=58 +Dropping weights @ version 58 + +================================================================================ +[ROLLOUT 178] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:17:37 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[BUFFER ADD] Added 16/16 episodes with policy_v=58 +Dropped weights @ version 58, took 0.90 seconds +WandbBackend: Logged 127 metrics at step 59 +=== [global_reduce] - METRICS STEP 59 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 96.0 + buffer/episodes_accepted: 96.0 + buffer/episodes_generated: 96.0 + buffer/evict/sum_episodes_evicted: 50.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.3404255319148936 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + 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0.8539174795150757 + loss_debug/batch_size: 16.0 + loss_debug/beta_times_kl_mean: 0.06619143486022949 + loss_debug/final_loss: 0.23247838020324707 + loss_debug/kl_max: 10.0 + loss_debug/kl_mean: 0.6619143486022949 + loss_debug/kl_min: -5.960464477539063e-08 + loss_debug/kl_std: 2.087552547454834 + loss_debug/logprob_diff_max: 11.548584938049316 + loss_debug/logprob_diff_mean: -0.17373321950435638 + loss_debug/logprob_diff_min: -7.000911235809326 + loss_debug/logprobs_max: 0.0 + loss_debug/logprobs_mean: -0.32353878021240234 + loss_debug/logprobs_min: -16.75 + loss_debug/logprobs_std: 1.9474564790725708 + loss_debug/num_trainable_tokens: 183.0 + loss_debug/per_token_loss_max: 1.749962568283081 + loss_debug/per_token_loss_mean: 0.21311187744140625 + loss_debug/per_token_loss_min: -2.015439510345459 + loss_debug/policy_loss_max: 2.015439510345459 + loss_debug/policy_loss_mean: -0.14692042768001556 + loss_debug/policy_loss_min: -0.749962568283081 + loss_debug/ref_logprobs_max: 0.0 + 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main_perf/continuous_training/push_weights/duration_avg_s: 3.040201555006206 + main_perf/continuous_training/push_weights/duration_max_s: 3.040201555006206 + main_perf/continuous_training/total_duration_avg_s: 8.183010687120259 + main_perf/continuous_training/total_duration_max_s: 8.183010687120259 + main_perf/continuous_training/train_step/duration_avg_s: 1.5837448183447123 + main_perf/continuous_training/train_step/duration_max_s: 1.5837448183447123 + main_perf/continuous_training/update_weights/duration_avg_s: 2.6594429910182953 + main_perf/continuous_training/update_weights/duration_max_s: 2.6594429910182953 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0031972909346222878 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0031972909346222878 + reference_perf/forward/avg_sequence_length: 251.2 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.02085335288817684 + reference_perf/forward/compute_logprobs/duration_max_s: 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rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0029600318521261215 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0029600318521261215 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.028995242901146412 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.028995242901146412 + rl_trainer_perf/step/total_duration_avg_s: 1.5803290167823434 + rl_trainer_perf/step/total_duration_max_s: 1.5803290167823434 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:17:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:17:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:17:39 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:17:39 INFO Pushing weights for policy version 60 +[ReferenceModel-0/1] 2025-11-20 09:17:40 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:17:41 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:17:41 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 59: Starting training + +================================================================================ +[ROLLOUT 179] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=59 + +================================================================================ +[ROLLOUT 180] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=59 + +================================================================================ +[ROLLOUT 181] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=59 + +================================================================================ +[ROLLOUT 182] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=59 + +================================================================================ +[ROLLOUT 183] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=59[TitanTrainer-0/1] 2025-11-20 09:17:42 INFO Completed weights push in 2.92 seconds +[Generator-0/1] 2025-11-20 09:17:42 INFO [Generator] Fetching weights for v60 to shared memory +INFO 11-20 09:17:45 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:17:45 INFO Weight update completed (now v60) +[ReferenceModel-0/1] 2025-11-20 09:17:45 INFO [GC] Performing periodic GC collection took 0.00 seconds + +Dropping weights @ version 59 + +================================================================================ +[ROLLOUT 184] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 9 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=59 +Dropped weights @ version 59, took 0.79 seconds +WandbBackend: Logged 127 metrics at step 60 +=== [global_reduce] - METRICS STEP 60 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 96.0 + buffer/episodes_accepted: 96.0 + buffer/episodes_generated: 96.0 + buffer/evict/sum_episodes_evicted: 48.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.16842105263157894 + buffer/sample/avg_sampled_policy_age: 0.9375 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0010541202500462532 + buffer_perf/sample/total_duration_max_s: 0.0010541202500462532 + 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+================================================================================ +[ROLLOUT 185] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=60 + +================================================================================ +[ROLLOUT 186] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 6, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 6, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=60 + +================================================================================ +[ROLLOUT 187] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=60 + +================================================================================ +[ROLLOUT 188] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=60 + +================================================================================ +[ROLLOUT 189] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=60[TitanTrainer-0/1] 2025-11-20 09:17:50 INFO Completed weights push in 2.75 seconds +[Generator-0/1] 2025-11-20 09:17:50 INFO [Generator] Fetching weights for v61 to shared memory +INFO 11-20 09:17:52 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:17:52 INFO Weight update completed (now v61) +[ReferenceModel-0/1] 2025-11-20 09:17:53 INFO [GC] Performing periodic GC collection took 0.00 seconds + +Dropping weights @ version 60 + +================================================================================ +[ROLLOUT 190] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer 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2025-11-20 09:17:53 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:17:53 INFO Pushing weights for policy version 62 +[ReferenceModel-0/1] 2025-11-20 09:17:54 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:17:55 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:17:55 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:17:56 INFO Completed weights push in 2.72 seconds +[Generator-0/1] 2025-11-20 09:17:56 INFO [Generator] Fetching weights for v62 to shared memory +INFO 11-20 09:17:59 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:17:59 INFO Weight update completed (now v62) +[ReferenceModel-0/1] 2025-11-20 09:17:59 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 61: Starting training + +================================================================================ +[ROLLOUT 191] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 6 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=61 + +================================================================================ +[ROLLOUT 192] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=61 + +================================================================================ +[ROLLOUT 193] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=61 +Dropping weights @ version 61 + +================================================================================ +[ROLLOUT 194] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=61 +Dropped weights @ version 61, took 0.94 seconds +WandbBackend: Logged 127 metrics at step 62 +=== [global_reduce] - METRICS STEP 62 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 97.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.16 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + 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0.0030103279277682304 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.0200901310890913 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.0200901310890913 + rl_trainer_perf/step/total_duration_avg_s: 0.19749197736382484 + rl_trainer_perf/step/total_duration_max_s: 0.19749197736382484 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:18:00 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:18:00 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:18:00 INFO Pushing weights for policy version 63 +[ReferenceModel-0/1] 2025-11-20 09:18:01 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:18:02 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:18:02 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:18:03 INFO Completed weights push in 2.84 seconds +[Generator-0/1] 2025-11-20 09:18:03 INFO [Generator] Fetching weights for v63 to shared memory +INFO 11-20 09:18:05 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:18:05 INFO Weight update completed (now v63) +[TRAINING] Step 62: Starting training + +================================================================================ +[ROLLOUT 195] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=62 + +================================================================================ +[ROLLOUT 196] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=62 + +================================================================================ +[ROLLOUT 197] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=62 + +================================================================================ +[ROLLOUT 198] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=62 +Dropping weights @ version 62 + +================================================================================ +[ROLLOUT 199] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:18:06 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[BUFFER ADD] Added 16/16 episodes with policy_v=62 +Dropped weights @ version 62, took 0.95 seconds +WandbBackend: Logged 127 metrics at step 63 +=== [global_reduce] - METRICS STEP 63 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 80.0 + buffer/episodes_accepted: 80.0 + buffer/episodes_generated: 80.0 + buffer/evict/sum_episodes_evicted: 92.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.2222222222222222 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + 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shared memory +INFO 11-20 09:18:12 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:18:12 INFO Weight update completed (now v64) +[ReferenceModel-0/1] 2025-11-20 09:18:12 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 63: Starting training + +================================================================================ +[ROLLOUT 200] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=63 + +================================================================================ +[ROLLOUT 201] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 9 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=63 + +================================================================================ +[ROLLOUT 202] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=63 +Dropping weights @ version 63 + +================================================================================ +[ROLLOUT 203] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 5, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 5, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=63 +Dropped weights @ version 63, took 0.84 seconds +WandbBackend: Logged 127 metrics at step 64 +=== [global_reduce] - METRICS STEP 64 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + 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+[ReferenceModel-0/1] 2025-11-20 09:18:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:18:16 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:18:16 INFO Completed weights push in 2.83 seconds +[Generator-0/1] 2025-11-20 09:18:16 INFO [Generator] Fetching weights for v65 to shared memory +INFO 11-20 09:18:18 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:18:18 INFO Weight update completed (now v65) +[ReferenceModel-0/1] 2025-11-20 09:18:19 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 64: Starting training + +================================================================================ +[ROLLOUT 204] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=64 + +================================================================================ +[ROLLOUT 205] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 6 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=64 + +================================================================================ +[ROLLOUT 206] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=64 +Dropping weights @ version 64 + +================================================================================ +[ROLLOUT 207] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=64 +Dropped weights @ version 64, took 0.91 seconds +WandbBackend: Logged 127 metrics at step 65 +=== [global_reduce] - METRICS STEP 65 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 72.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.21333333333333335 + buffer/sample/avg_sampled_policy_age: 0.875 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0013203239068388939 + buffer_perf/sample/total_duration_max_s: 0.0013203239068388939 + episode/total_tokens: 231.08064516129033 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.1774193548387097 + 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rl_trainer_perf/step/total_duration_avg_s: 0.19437282625585794 + rl_trainer_perf/step/total_duration_max_s: 0.19437282625585794 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:18:19 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:18:20 INFO Pushing weights for policy version 66 +[ReferenceModel-0/1] 2025-11-20 09:18:20 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:18:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:18:22 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:18:22 INFO Completed weights push in 2.68 seconds +[Generator-0/1] 2025-11-20 09:18:22 INFO [Generator] Fetching weights for v66 to shared memory +INFO 11-20 09:18:25 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:18:25 INFO Weight update completed (now v66) +[ReferenceModel-0/1] 2025-11-20 09:18:25 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 65: Starting training + +================================================================================ +[ROLLOUT 208] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=65 + +================================================================================ +[ROLLOUT 209] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=65 + +================================================================================ +[ROLLOUT 210] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=65 +Dropping weights @ version 65 + +================================================================================ +[ROLLOUT 211] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=65 +Dropped weights @ version 65, took 0.78 seconds +WandbBackend: Logged 127 metrics at step 66 +=== [global_reduce] - METRICS STEP 66 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 69.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.22857142857142856 + 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collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:18:29 INFO Completed weights push in 2.73 seconds +[Generator-0/1] 2025-11-20 09:18:29 INFO [Generator] Fetching weights for v67 to shared memory +INFO 11-20 09:18:31 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:18:31 INFO Weight update completed (now v67) +[ReferenceModel-0/1] 2025-11-20 09:18:31 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 66: Starting training + +================================================================================ +[ROLLOUT 212] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 9 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=66 + +================================================================================ +[ROLLOUT 213] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=66 + +================================================================================ +[ROLLOUT 214] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=66 +Dropping weights @ version 66 + +================================================================================ +[ROLLOUT 215] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 6 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=66 +Dropped weights @ version 66, took 0.91 seconds +WandbBackend: 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+[TitanTrainer-0/1] 2025-11-20 09:18:32 INFO Pushing weights for policy version 68 +[ReferenceModel-0/1] 2025-11-20 09:18:32 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:18:33 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:18:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:18:35 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:18:35 INFO Completed weights push in 2.83 seconds +[Generator-0/1] 2025-11-20 09:18:35 INFO [Generator] Fetching weights for v68 to shared memory +INFO 11-20 09:18:38 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:18:38 INFO Weight update completed (now v68) +[TRAINING] Step 67: Starting training + +================================================================================ +[ROLLOUT 216] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=67 + +================================================================================ +[ROLLOUT 217] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=67 + +================================================================================ +[ROLLOUT 218] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=67 + +================================================================================ +[ROLLOUT 219] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=67 +Dropping weights @ version 67 + +================================================================================ +[ROLLOUT 220] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:18:39 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[BUFFER ADD] Added 16/16 episodes with policy_v=67 +Dropped weights @ version 67, took 0.91 seconds +WandbBackend: Logged 127 metrics at step 68 +=== [global_reduce] - METRICS STEP 68 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 80.0 + buffer/episodes_accepted: 80.0 + buffer/episodes_generated: 80.0 + buffer/evict/sum_episodes_evicted: 63.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.2191780821917808 + buffer/sample/avg_sampled_policy_age: 0.9375 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.001176854595541954 + buffer_perf/sample/total_duration_max_s: 0.001176854595541954 + episode/total_tokens: 231.0144927536232 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.2318840579710145 + game/games_played: 69.0 + game/invalid_action_rate: 0.0 + game/win_rate: 0.37681159420289856 + generator/generate/avg_tokens_generated: 9.0 + 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2025-11-20 09:18:39 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:18:39 INFO Pushing weights for policy version 69 +[ReferenceModel-0/1] 2025-11-20 09:18:39 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:18:40 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:18:41 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:18:42 INFO Completed weights push in 2.87 seconds +[Generator-0/1] 2025-11-20 09:18:42 INFO [Generator] Fetching weights for v69 to shared memory +INFO 11-20 09:18:44 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:18:44 INFO Weight update completed (now v69) +[ReferenceModel-0/1] 2025-11-20 09:18:45 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 68: Starting training + +================================================================================ +[ROLLOUT 221] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=68 + +================================================================================ +[ROLLOUT 222] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=68 + +================================================================================ +[ROLLOUT 223] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=68 +Dropping weights @ version 68 + +================================================================================ +[ROLLOUT 224] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=68 +Dropped weights @ version 68, took 0.92 seconds +WandbBackend: Logged 127 metrics at step 69 +=== [global_reduce] - METRICS STEP 69 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 69.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.19047619047619047 + buffer/sample/avg_sampled_policy_age: 0.9375 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + 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loss_debug/kl_max: 6.501105785369873 + loss_debug/kl_mean: 0.6423091292381287 + loss_debug/kl_min: 0.0 + loss_debug/kl_std: 1.6500132083892822 + loss_debug/logprob_diff_max: 3.3378337320755236e-06 + loss_debug/logprob_diff_mean: -0.8336648344993591 + loss_debug/logprob_diff_min: -7.500553131103516 + loss_debug/logprobs_max: 0.0 + loss_debug/logprobs_mean: -6.399200742635003e-07 + loss_debug/logprobs_min: -9.894321920000948e-06 + loss_debug/logprobs_std: 1.933049361468875e-06 + loss_debug/num_trainable_tokens: 144.0 + loss_debug/per_token_loss_max: 1.454053282737732 + loss_debug/per_token_loss_mean: 0.3494425117969513 + loss_debug/per_token_loss_min: -1.2499375343322754 + loss_debug/policy_loss_max: 1.2499375343322754 + loss_debug/policy_loss_mean: -0.28521162271499634 + loss_debug/policy_loss_min: -0.8538709878921509 + loss_debug/ref_logprobs_max: 0.0 + loss_debug/ref_logprobs_mean: -0.8336654305458069 + loss_debug/ref_logprobs_min: -7.500553131103516 + loss_debug/ref_logprobs_std: 1.966413974761963 + loss_debug/seq_len: 232.0 + loss_debug/targets_max: 151645.0 + loss_debug/targets_min: -100.0 + main/continuous_rollouts/count_rollout_iterations: 4.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 1.4591460581868887 + main_perf/continuous_rollouts/play_games/duration_max_s: 3.4037371072918177 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.048057781998068094 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.04890706390142441 + main_perf/continuous_rollouts/total_duration_avg_s: 1.5512117776088417 + main_perf/continuous_rollouts/total_duration_max_s: 3.5038436017930508 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.9199501667171717 + main_perf/continuous_training/drop_weights/duration_max_s: 0.9199501667171717 + main_perf/continuous_training/push_weights/duration_avg_s: 2.8745923591777682 + main_perf/continuous_training/push_weights/duration_max_s: 2.8745923591777682 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rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005171541124582291 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005171541124582291 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.872621809132397 + rl_trainer_perf/push_weights/total_duration_max_s: 2.872621809132397 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.871471324004233 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.871471324004233 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.16966628190129995 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.16966628190129995 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 + rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0030125100165605545 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0030125100165605545 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.02047072909772396 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.02047072909772396 + rl_trainer_perf/step/total_duration_avg_s: 0.19315217528492212 + rl_trainer_perf/step/total_duration_max_s: 0.19315217528492212 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:18:45 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:18:46 INFO Pushing weights for policy version 70 +[ReferenceModel-0/1] 2025-11-20 09:18:46 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:18:47 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:18:47 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:18:48 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:18:48 INFO Completed weights push in 2.97 seconds +[Generator-0/1] 2025-11-20 09:18:48 INFO [Generator] Fetching weights for v70 to shared memory +INFO 11-20 09:18:51 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:18:51 INFO Weight update completed (now v70) +[TRAINING] Step 69: Starting training + +================================================================================ +[ROLLOUT 225] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=69 + +================================================================================ +[ROLLOUT 226] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=69 + +================================================================================ +[ROLLOUT 227] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=69 + +================================================================================ +[ROLLOUT 228] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=69 +Dropping weights @ version 69 + +================================================================================ +[ROLLOUT 229] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 6 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:18:52 INFO [GC] Performing periodic GC collection took 0.00 seconds + +Dropped weights @ version 69, took 0.85 seconds +WandbBackend: Logged 125 metrics at step 70 +=== [global_reduce] - METRICS STEP 70 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 67.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 70.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.20512820512820512 + buffer/sample/avg_sampled_policy_age: 0.875 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.001450560986995697 + 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+[Generator-0/1] 2025-11-20 09:18:58 INFO Weight update completed (now v71) +[ReferenceModel-0/1] 2025-11-20 09:18:58 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 70: Starting training +[BUFFER ADD] Added 16/16 episodes with policy_v=70 + +================================================================================ +[ROLLOUT 230] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=70 + +================================================================================ +[ROLLOUT 231] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=70 + +================================================================================ +[ROLLOUT 232] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=70 +Dropping weights @ version 70 + +================================================================================ +[ROLLOUT 233] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=70 +Dropped weights @ version 70, took 0.91 seconds +WandbBackend: Logged 127 metrics at step 71 +=== [global_reduce] - METRICS STEP 71 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 77.0 + buffer/episodes_accepted: 80.0 + buffer/episodes_generated: 80.0 + buffer/evict/sum_episodes_evicted: 73.0 + 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rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 + rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0029411232098937035 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0029411232098937035 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.02109086886048317 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.02109086886048317 + rl_trainer_perf/step/total_duration_avg_s: 0.19371502846479416 + rl_trainer_perf/step/total_duration_max_s: 0.19371502846479416 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:18:59 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:18:59 INFO Pushing weights for policy version 72 +[ReferenceModel-0/1] 2025-11-20 09:18:59 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:00 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:01 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:02 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:19:02 INFO Completed weights push in 2.97 seconds +[Generator-0/1] 2025-11-20 09:19:02 INFO [Generator] Fetching weights for v72 to shared memory +INFO 11-20 09:19:05 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:19:05 INFO Weight update completed (now v72) +[TRAINING] Step 71: Starting training + +================================================================================ +[ROLLOUT 234] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=71 + +================================================================================ +[ROLLOUT 235] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 9 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=71 + +================================================================================ +[ROLLOUT 236] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 9 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=71 + +================================================================================ +[ROLLOUT 237] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=71 +Dropping weights @ version 71 + +================================================================================ +[ROLLOUT 238] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:19:05 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[BUFFER ADD] Added 16/16 episodes with policy_v=71 +Dropped weights @ version 71, took 0.85 seconds +WandbBackend: Logged 127 metrics at step 72 +=== [global_reduce] - METRICS STEP 72 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 80.0 + buffer/episodes_accepted: 80.0 + buffer/episodes_generated: 80.0 + buffer/evict/sum_episodes_evicted: 70.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.20253164556962025 + buffer/sample/avg_sampled_policy_age: 0.9375 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.001274152658879757 + buffer_perf/sample/total_duration_max_s: 0.001274152658879757 + episode/total_tokens: 231.0857142857143 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.3142857142857143 + game/games_played: 70.0 + game/invalid_action_rate: 0.0 + game/win_rate: 0.32857142857142857 + generator/generate/avg_tokens_generated: 9.0 + generator/generate/count_requests: 70.0 + generator/generate/count_sequences_completed: 70.0 + generator/generate/sum_tokens_generated: 630.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.643378526903689 + generator_perf/_fetch_weights/total_duration_max_s: 1.643378526903689 + generator_perf/generate/generate/duration_avg_s: 0.07890240761893136 + generator_perf/generate/generate/duration_max_s: 2.67694482421875 + generator_perf/generate/process_inputs/duration_avg_s: 0.0009141636565194596 + generator_perf/generate/process_inputs/duration_max_s: 0.0013186240196228027 + generator_perf/generate/total_duration_avg_s: 0.07991908053220911 + generator_perf/generate/total_duration_max_s: 2.678175992205739 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.6199076771736145 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.6199076771736145 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7641548411920667 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7641548411920667 + groups/rate_dropped: 0.0 + loss_debug/advantages_max: 1.436065673828125 + loss_debug/advantages_mean: 0.274269700050354 + loss_debug/advantages_min: -0.8538709878921509 + loss_debug/advantages_std: 1.0044820308685303 + loss_debug/batch_size: 16.0 + loss_debug/beta_times_kl_mean: 0.051252324134111404 + loss_debug/final_loss: -0.2230173945426941 + loss_debug/kl_max: 6.251419544219971 + loss_debug/kl_mean: 0.5125232338905334 + loss_debug/kl_min: 0.0 + loss_debug/kl_std: 1.4542641639709473 + loss_debug/logprob_diff_max: 0.0 + loss_debug/logprob_diff_mean: -0.6749008297920227 + loss_debug/logprob_diff_min: -7.2507100105285645 + loss_debug/logprobs_max: 0.0 + loss_debug/logprobs_mean: -4.139203326758434e-07 + loss_debug/logprobs_min: -5.8412379075889476e-06 + loss_debug/logprobs_std: 1.1893315559063922e-06 + loss_debug/num_trainable_tokens: 144.0 + loss_debug/per_token_loss_max: 1.3792566061019897 + loss_debug/per_token_loss_mean: -0.2230173498392105 + loss_debug/per_token_loss_min: -1.436065673828125 + loss_debug/policy_loss_max: 1.436065673828125 + loss_debug/policy_loss_mean: 0.2742696702480316 + loss_debug/policy_loss_min: -0.8538709878921509 + loss_debug/ref_logprobs_max: 0.0 + loss_debug/ref_logprobs_mean: -0.6749013066291809 + loss_debug/ref_logprobs_min: -7.2507100105285645 + loss_debug/ref_logprobs_std: 1.7503037452697754 + loss_debug/seq_len: 232.0 + loss_debug/targets_max: 151645.0 + loss_debug/targets_min: -100.0 + main/continuous_rollouts/count_rollout_iterations: 5.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 1.3492927661165595 + main_perf/continuous_rollouts/play_games/duration_max_s: 3.4552121367305517 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04770010970532894 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.04866798035800457 + main_perf/continuous_rollouts/total_duration_avg_s: 1.4401231760159134 + main_perf/continuous_rollouts/total_duration_max_s: 3.5507151167839766 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.8524473505094647 + main_perf/continuous_training/drop_weights/duration_max_s: 0.8524473505094647 + main_perf/continuous_training/push_weights/duration_avg_s: 2.9672248736023903 + main_perf/continuous_training/push_weights/duration_max_s: 2.9672248736023903 + main_perf/continuous_training/total_duration_avg_s: 6.702850709669292 + main_perf/continuous_training/total_duration_max_s: 6.702850709669292 + main_perf/continuous_training/train_step/duration_avg_s: 0.199096011929214 + main_perf/continuous_training/train_step/duration_max_s: 0.199096011929214 + main_perf/continuous_training/update_weights/duration_avg_s: 2.680417343042791 + main_perf/continuous_training/update_weights/duration_max_s: 2.680417343042791 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0036635184660553932 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0036635184660553932 + reference_perf/forward/avg_sequence_length: 232.0 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.01691090352833271 + reference_perf/forward/compute_logprobs/duration_max_s: 0.01852050982415676 + reference_perf/forward/count_forward_passes: 5.0 + reference_perf/forward/forward/duration_avg_s: 0.016948712803423405 + reference_perf/forward/forward/duration_max_s: 0.02355449739843607 + reference_perf/forward/garbage_collection/duration_avg_s: 0.00041038282215595246 + reference_perf/forward/garbage_collection/duration_max_s: 0.0004727169871330261 + reference_perf/forward/memory_delta_end_start_avg_gb: 1.0505619049072266 + reference_perf/forward/memory_peak_max_gb: 10.120736122131348 + reference_perf/forward/to_device/duration_avg_s: 0.0001406913623213768 + reference_perf/forward/to_device/duration_max_s: 0.0001496570184826851 + reference_perf/forward/total_duration_avg_s: 0.03441288787871599 + reference_perf/forward/total_duration_max_s: 0.03477284777909517 + rl_trainer/avg_loss: -0.2230173945426941 + rl_trainer/learning_rate: 9.2992992992993e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006163753569126129 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006163753569126129 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005343100056052208 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005343100056052208 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.9652983397245407 + rl_trainer_perf/push_weights/total_duration_max_s: 2.9652983397245407 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.9641445400193334 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.9641445400193334 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.16945498064160347 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.16945498064160347 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 + rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.002828070893883705 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.002828070893883705 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01975964941084385 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01975964941084385 + rl_trainer_perf/step/total_duration_avg_s: 0.1920457947999239 + rl_trainer_perf/step/total_duration_max_s: 0.1920457947999239 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:19:06 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:19:06 INFO Pushing weights for policy version 73 +[ReferenceModel-0/1] 2025-11-20 09:19:06 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:07 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:08 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:19:09 INFO Completed weights push in 2.78 seconds +[Generator-0/1] 2025-11-20 09:19:09 INFO [Generator] Fetching weights for v73 to shared memory +INFO 11-20 09:19:11 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:19:11 INFO Weight update completed (now v73) +[ReferenceModel-0/1] 2025-11-20 09:19:12 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 72: Starting training + +================================================================================ +[ROLLOUT 239] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=72 + +================================================================================ +[ROLLOUT 240] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=72 + +================================================================================ +[ROLLOUT 241] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=72 +Dropping weights @ version 72 + +================================================================================ +[ROLLOUT 242] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=72 +Dropped weights @ version 72, took 0.89 seconds +WandbBackend: Logged 127 metrics at step 73 +=== [global_reduce] - METRICS STEP 73 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 76.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.1927710843373494 + buffer/sample/avg_sampled_policy_age: 0.9375 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0012978585436940193 + buffer_perf/sample/total_duration_max_s: 0.0012978585436940193 + episode/total_tokens: 231.08450704225353 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.22535211267605634 + game/games_played: 71.0 + game/invalid_action_rate: 0.0 + game/win_rate: 0.36619718309859156 + generator/generate/avg_tokens_generated: 9.0 + generator/generate/count_requests: 71.0 + 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rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.780308149755001 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.780308149755001 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1703579295426607 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.1703579295426607 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 + rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.002902815118432045 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.002902815118432045 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.019439823925495148 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.019439823925495148 + rl_trainer_perf/step/total_duration_avg_s: 0.1927029127255082 + rl_trainer_perf/step/total_duration_max_s: 0.1927029127255082 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:19:12 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:19:12 INFO Pushing weights for policy version 74 +[ReferenceModel-0/1] 2025-11-20 09:19:12 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:13 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:14 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:19:15 INFO Completed weights push in 3.09 seconds +[Generator-0/1] 2025-11-20 09:19:15 INFO [Generator] Fetching weights for v74 to shared memory +INFO 11-20 09:19:18 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:19:18 INFO Weight update completed (now v74) +[TRAINING] Step 73: Starting training + +================================================================================ +[ROLLOUT 243] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=73 + +================================================================================ +[ROLLOUT 244] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 9 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=73 + +================================================================================ +[ROLLOUT 245] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=73 + +================================================================================ +[ROLLOUT 246] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=73 +Dropping weights @ version 73 + +================================================================================ +[ROLLOUT 247] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:19:19 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[BUFFER ADD] Added 16/16 episodes with policy_v=73 +Dropped 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09:19:19 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:19:19 INFO Pushing weights for policy version 75 +[ReferenceModel-0/1] 2025-11-20 09:19:20 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:20 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:19:22 INFO Completed weights push in 2.81 seconds +[Generator-0/1] 2025-11-20 09:19:22 INFO [Generator] Fetching weights for v75 to shared memory +INFO 11-20 09:19:25 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:19:25 INFO Weight update completed (now v75) +[ReferenceModel-0/1] 2025-11-20 09:19:25 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 74: Starting training + +================================================================================ +[ROLLOUT 248] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=74 + +================================================================================ +[ROLLOUT 249] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=74 + +================================================================================ +[ROLLOUT 250] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=74 +Dropping weights @ version 74 + +================================================================================ +[ROLLOUT 251] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=74 +Dropped weights @ version 74, took 0.67 seconds +WandbBackend: Logged 127 metrics at step 75 +=== [global_reduce] - METRICS STEP 75 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 71.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.18823529411764706 + buffer/sample/avg_sampled_policy_age: 0.875 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + 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0.0029274215921759605 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.02131347730755806 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.02131347730755806 + rl_trainer_perf/step/total_duration_avg_s: 0.19295697938650846 + rl_trainer_perf/step/total_duration_max_s: 0.19295697938650846 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:19:25 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:19:25 INFO Pushing weights for policy version 76 +[ReferenceModel-0/1] 2025-11-20 09:19:26 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:27 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:28 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:19:28 INFO Completed weights push in 2.88 seconds +[Generator-0/1] 2025-11-20 09:19:28 INFO [Generator] Fetching weights for v76 to shared memory +INFO 11-20 09:19:31 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:19:31 INFO Weight update completed (now v76) +[ReferenceModel-0/1] 2025-11-20 09:19:31 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 75: Starting training + +================================================================================ +[ROLLOUT 252] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=75 + +================================================================================ +[ROLLOUT 253] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=75 + +================================================================================ +[ROLLOUT 254] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=75 +Dropping weights @ version 75 + +================================================================================ +[ROLLOUT 255] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 9 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=75 +Dropped weights @ version 75, took 0.82 seconds +WandbBackend: Logged 127 metrics at step 76 +=== [global_reduce] - METRICS STEP 76 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + 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+[ReferenceModel-0/1] 2025-11-20 09:19:33 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:19:34 INFO Completed weights push in 2.35 seconds +[Generator-0/1] 2025-11-20 09:19:34 INFO [Generator] Fetching weights for v77 to shared memory +INFO 11-20 09:19:37 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:19:37 INFO Weight update completed (now v77) +[ReferenceModel-0/1] 2025-11-20 09:19:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 76: Starting training + +================================================================================ +[ROLLOUT 256] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=76 + +================================================================================ +[ROLLOUT 257] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=76 + +================================================================================ +[ROLLOUT 258] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 9 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=76 +Dropping weights @ version 76 + +================================================================================ +[ROLLOUT 259] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> 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0.19264164380729198 + rl_trainer_perf/step/total_duration_max_s: 0.19264164380729198 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:19:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:19:38 INFO Pushing weights for policy version 78 +[ReferenceModel-0/1] 2025-11-20 09:19:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:39 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:40 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:41 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:19:41 INFO Completed weights push in 2.86 seconds +[Generator-0/1] 2025-11-20 09:19:41 INFO [Generator] Fetching weights for v78 to shared memory +INFO 11-20 09:19:44 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:19:44 INFO Weight update completed (now v78) +[TRAINING] Step 77: Starting training + +================================================================================ +[ROLLOUT 260] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=77 + +================================================================================ +[ROLLOUT 261] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 9 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=77 + +================================================================================ +[ROLLOUT 262] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=77 + +================================================================================ +[ROLLOUT 263] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=77 +Dropping weights @ version 77 +Dropped weights @ version 77, took 0.78 seconds +WandbBackend: Logged 125 metrics at step 78 +=== [global_reduce] - METRICS STEP 78 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 67.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.24615384615384617 + buffer/sample/avg_sampled_policy_age: 0.8125 + buffer/sample/count_sample_requests: 1.0 + 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0.0029593007639050484 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.02035768050700426 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.02035768050700426 + rl_trainer_perf/step/total_duration_avg_s: 0.1925382288172841 + rl_trainer_perf/step/total_duration_max_s: 0.1925382288172841 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:19:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:19:45 INFO Pushing weights for policy version 79 +[ReferenceModel-0/1] 2025-11-20 09:19:45 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:46 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:47 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:19:47 INFO Completed weights push in 2.70 seconds +[Generator-0/1] 2025-11-20 09:19:47 INFO [Generator] Fetching weights for v79 to shared memory +INFO 11-20 09:19:50 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:19:50 INFO Weight update completed (now v79) +[TRAINING] Step 78: Starting training + +================================================================================ +[ROLLOUT 264] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=78 + +================================================================================ +[ROLLOUT 265] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=78 + +================================================================================ +[ROLLOUT 266] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=78 + +================================================================================ +[ROLLOUT 267] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=78 +Dropping weights @ version 78 + +================================================================================ +[ROLLOUT 268] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:19:51 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[BUFFER ADD] Added 16/16 episodes with policy_v=78 +Dropped weights @ version 78, took 0.87 seconds +WandbBackend: Logged 127 metrics at step 79 +=== [global_reduce] - METRICS STEP 79 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 80.0 + buffer/episodes_accepted: 80.0 + buffer/episodes_generated: 80.0 + buffer/evict/sum_episodes_evicted: 61.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.23529411764705882 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + 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shared memory +INFO 11-20 09:19:56 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:19:56 INFO Weight update completed (now v80) +[ReferenceModel-0/1] 2025-11-20 09:19:57 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 79: Starting training + +================================================================================ +[ROLLOUT 269] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=79 + +================================================================================ +[ROLLOUT 270] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=79 + +================================================================================ +[ROLLOUT 271] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=79 +Dropping weights @ version 79 + +================================================================================ +[ROLLOUT 272] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 9 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and 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rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 + rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.002900371327996254 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.002900371327996254 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.020773871801793575 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.020773871801793575 + rl_trainer_perf/step/total_duration_avg_s: 0.19255369156599045 + rl_trainer_perf/step/total_duration_max_s: 0.19255369156599045 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:19:57 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:19:57 INFO Pushing weights for policy version 81 +[ReferenceModel-0/1] 2025-11-20 09:19:58 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:58 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:19:59 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:20:00 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:20:00 INFO Completed weights push in 2.82 seconds +[Generator-0/1] 2025-11-20 09:20:00 INFO [Generator] Fetching weights for v81 to shared memory +INFO 11-20 09:20:03 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:20:03 INFO Weight update completed (now v81) +[TRAINING] Step 80: Starting training + +================================================================================ +[ROLLOUT 273] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=80 + +================================================================================ +[ROLLOUT 274] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=80 + +================================================================================ +[ROLLOUT 275] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=80 + +================================================================================ +[ROLLOUT 276] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 6 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=80 +Dropping weights @ version 80 + +================================================================================ +[ROLLOUT 277] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 9 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:20:04 INFO [GC] Performing periodic GC collection took 0.00 seconds + +Dropped weights @ version 80, took 0.84 seconds +WandbBackend: Logged 125 metrics at step 81 +=== [global_reduce] - METRICS STEP 81 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 67.0 + buffer/rate_rejected_truncated: 0.0 + 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rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003322351723909378 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003322351723909378 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.019820365123450756 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.019820365123450756 + rl_trainer_perf/step/total_duration_avg_s: 0.19335214234888554 + rl_trainer_perf/step/total_duration_max_s: 0.19335214234888554 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:20:04 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:20:04 INFO Pushing weights for policy version 82 +[ReferenceModel-0/1] 2025-11-20 09:20:05 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:20:06 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:20:06 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:20:07 INFO Completed weights push in 3.14 seconds +[Generator-0/1] 2025-11-20 09:20:07 INFO [Generator] Fetching weights for v82 to shared memory +INFO 11-20 09:20:10 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:20:10 INFO Weight update completed (now v82) +[ReferenceModel-0/1] 2025-11-20 09:20:10 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 81: Starting training +[BUFFER ADD] Added 16/16 episodes with policy_v=81 + +================================================================================ +[ROLLOUT 278] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=81 + +================================================================================ +[ROLLOUT 279] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=81 + +================================================================================ +[ROLLOUT 280] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 9 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=81 +Dropping weights @ version 81 + +================================================================================ +[ROLLOUT 281] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=81 +Dropped weights @ version 81, took 0.86 seconds +WandbBackend: Logged 127 metrics at step 82 +=== [global_reduce] - METRICS STEP 82 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 80.0 + buffer/episodes_accepted: 80.0 + buffer/episodes_generated: 80.0 + buffer/evict/sum_episodes_evicted: 73.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.23529411764705882 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + buffer_perf/sample/total_duration_avg_s: 0.0018473230302333832 + buffer_perf/sample/total_duration_max_s: 0.0018473230302333832 + episode/total_tokens: 231.10526315789474 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.07894736842105263 + game/games_played: 76.0 + game/invalid_action_rate: 0.0 + game/win_rate: 0.4473684210526316 + generator/generate/avg_tokens_generated: 9.0 + generator/generate/count_requests: 77.0 + 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+ loss_debug/logprobs_std: 1.463600142415089e-06 + loss_debug/num_trainable_tokens: 144.0 + loss_debug/per_token_loss_max: 1.3792566061019897 + loss_debug/per_token_loss_mean: 0.3315618932247162 + loss_debug/per_token_loss_min: -1.2499375343322754 + loss_debug/policy_loss_max: 1.2499375343322754 + loss_debug/policy_loss_mean: -0.27025729417800903 + loss_debug/policy_loss_min: -0.8538709878921509 + loss_debug/ref_logprobs_max: 0.0 + loss_debug/ref_logprobs_mean: -0.803936779499054 + loss_debug/ref_logprobs_min: -7.2507100105285645 + loss_debug/ref_logprobs_std: 1.9136635065078735 + loss_debug/seq_len: 232.0 + loss_debug/targets_max: 151645.0 + loss_debug/targets_min: -100.0 + main/continuous_rollouts/count_rollout_iterations: 5.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 1.8129583304747938 + main_perf/continuous_rollouts/play_games/duration_max_s: 3.336731255054474 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04702173490077257 + 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rl_trainer_perf/push_weights/ts_save/duration_avg_s: 3.134699252434075 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 3.134699252434075 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.17061776481568813 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.17061776481568813 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 + rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0032324446365237236 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0032324446365237236 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.02015295997262001 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.02015295997262001 + rl_trainer_perf/step/total_duration_avg_s: 0.19400505255907774 + rl_trainer_perf/step/total_duration_max_s: 0.19400505255907774 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:20:11 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:20:11 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:20:11 INFO Pushing weights for policy version 83 +[ReferenceModel-0/1] 2025-11-20 09:20:12 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:20:12 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:20:13 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:20:14 INFO Completed weights push in 3.27 seconds +[Generator-0/1] 2025-11-20 09:20:14 INFO [Generator] Fetching weights for v83 to shared memory +INFO 11-20 09:20:17 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:20:17 INFO Weight update completed (now v83) +[TRAINING] Step 82: Starting training + +================================================================================ +[ROLLOUT 282] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=82 + +================================================================================ +[ROLLOUT 283] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=82 + +================================================================================ +[ROLLOUT 284] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 5, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 5, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=82 + +================================================================================ +[ROLLOUT 285] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=82 +Dropping weights @ version 82 + +================================================================================ +[ROLLOUT 286] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 229, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:20:17 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[BUFFER ADD] Added 16/16 episodes with policy_v=82 +Dropped weights @ version 82, took 0.80 seconds +WandbBackend: Logged 127 metrics at step 83 +=== [global_reduce] - METRICS STEP 83 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 80.0 + buffer/episodes_accepted: 80.0 + buffer/episodes_generated: 80.0 + buffer/evict/sum_episodes_evicted: 68.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.2 + buffer/sample/avg_sampled_policy_age: 0.9375 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0017670504748821259 + buffer_perf/sample/total_duration_max_s: 0.0017670504748821259 + episode/total_tokens: 231.04 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.13333333333333333 + game/games_played: 75.0 + game/invalid_action_rate: 0.0 + game/win_rate: 0.38666666666666666 + generator/generate/avg_tokens_generated: 9.0 + generator/generate/count_requests: 75.0 + 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seconds +[TitanTrainer-0/1] 2025-11-20 09:20:18 INFO Pushing weights for policy version 84 +[ReferenceModel-0/1] 2025-11-20 09:20:18 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:20:19 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:20:20 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:20:20 INFO Completed weights push in 2.64 seconds +[Generator-0/1] 2025-11-20 09:20:20 INFO [Generator] Fetching weights for v84 to shared memory +INFO 11-20 09:20:23 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:20:23 INFO Weight update completed (now v84) +[ReferenceModel-0/1] 2025-11-20 09:20:23 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 83: Starting training + +================================================================================ +[ROLLOUT 287] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=83 + +================================================================================ +[ROLLOUT 288] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=83 + +================================================================================ +[ROLLOUT 289] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=83 +Dropping weights @ version 83 + +================================================================================ +[ROLLOUT 290] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 6 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=83 +Dropped weights @ version 83, took 0.94 seconds +WandbBackend: Logged 127 metrics at step 84 +=== [global_reduce] - METRICS STEP 84 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 78.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.1951219512195122 + buffer/sample/avg_sampled_policy_age: 0.9375 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0018470333889126778 + buffer_perf/sample/total_duration_max_s: 0.0018470333889126778 + 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shared memory +INFO 11-20 09:20:30 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:20:30 INFO Weight update completed (now v85) +[TRAINING] Step 84: Starting training + +================================================================================ +[ROLLOUT 291] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 6 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=84 + +================================================================================ +[ROLLOUT 292] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=84 + +================================================================================ +[ROLLOUT 293] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=84 + +================================================================================ +[ROLLOUT 294] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=84 +Dropping weights @ version 84 + +================================================================================ +[ROLLOUT 295] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 6, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 6, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:20:30 INFO [GC] Performing periodic GC collection took 0.00 seconds + +Dropped weights @ version 84, took 0.73 seconds +WandbBackend: Logged 127 metrics at step 85 +=== [global_reduce] - METRICS STEP 85 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 77.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 76.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.22857142857142856 + buffer/sample/avg_sampled_policy_age: 0.9375 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0018500369042158127 + 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generator_perf/generate/total_duration_avg_s: 0.08035342955671967 + generator_perf/generate/total_duration_max_s: 2.6675839046388865 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.6268131975084543 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.6268131975084543 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.741770121268928 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.741770121268928 + groups/rate_dropped: 0.0 + loss_debug/advantages_max: 1.0978341102600098 + loss_debug/advantages_mean: -0.37671077251434326 + loss_debug/advantages_min: -0.8538709878921509 + loss_debug/advantages_std: 0.7425442337989807 + loss_debug/batch_size: 16.0 + loss_debug/beta_times_kl_mean: 0.05472829192876816 + loss_debug/final_loss: 0.43143904209136963 + loss_debug/kl_max: 6.501105785369873 + loss_debug/kl_mean: 0.5472829341888428 + loss_debug/kl_min: 0.0 + loss_debug/kl_std: 1.5088192224502563 + loss_debug/logprob_diff_max: 4.768339749716688e-07 + loss_debug/logprob_diff_mean: -0.7198622226715088 + loss_debug/logprob_diff_min: -7.500553131103516 + loss_debug/logprobs_max: 0.0 + loss_debug/logprobs_mean: -5.579641424446891e-07 + loss_debug/logprobs_min: -9.298280929215252e-06 + loss_debug/logprobs_std: 1.68041594861279e-06 + loss_debug/num_trainable_tokens: 144.0 + loss_debug/per_token_loss_max: 1.503981590270996 + loss_debug/per_token_loss_mean: 0.43143904209136963 + loss_debug/per_token_loss_min: -1.0978341102600098 + loss_debug/policy_loss_max: 1.0978341102600098 + loss_debug/policy_loss_mean: -0.37671080231666565 + loss_debug/policy_loss_min: -0.8538709878921509 + loss_debug/ref_logprobs_max: 0.0 + loss_debug/ref_logprobs_mean: -0.7198627591133118 + loss_debug/ref_logprobs_min: -7.500553131103516 + loss_debug/ref_logprobs_std: 1.81025230884552 + loss_debug/seq_len: 232.0 + loss_debug/targets_max: 151645.0 + loss_debug/targets_min: -100.0 + main/continuous_rollouts/count_rollout_iterations: 4.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 0.8044703532941639 + main_perf/continuous_rollouts/play_games/duration_max_s: 0.815534071996808 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04693597601726651 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.0474886791780591 + main_perf/continuous_rollouts/total_duration_avg_s: 0.8934272392652929 + main_perf/continuous_rollouts/total_duration_max_s: 0.9038946898654103 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.7332361927255988 + main_perf/continuous_training/drop_weights/duration_max_s: 0.7332361927255988 + main_perf/continuous_training/push_weights/duration_avg_s: 2.884256601333618 + main_perf/continuous_training/push_weights/duration_max_s: 2.884256601333618 + main_perf/continuous_training/total_duration_avg_s: 6.518777152523398 + main_perf/continuous_training/total_duration_max_s: 6.518777152523398 + main_perf/continuous_training/train_step/duration_avg_s: 0.2162778601050377 + main_perf/continuous_training/train_step/duration_max_s: 0.2162778601050377 + main_perf/continuous_training/update_weights/duration_avg_s: 2.677297259680927 + main_perf/continuous_training/update_weights/duration_max_s: 2.677297259680927 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.007707185111939907 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.007707185111939907 + reference_perf/forward/avg_sequence_length: 232.0 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.017854927107691765 + reference_perf/forward/compute_logprobs/duration_max_s: 0.018077190034091473 + reference_perf/forward/count_forward_passes: 5.0 + reference_perf/forward/forward/duration_avg_s: 0.015715975500643253 + reference_perf/forward/forward/duration_max_s: 0.01587011106312275 + reference_perf/forward/garbage_collection/duration_avg_s: 0.00039083510637283325 + reference_perf/forward/garbage_collection/duration_max_s: 0.00040144938975572586 + reference_perf/forward/memory_delta_end_start_avg_gb: 1.0505619049072266 + reference_perf/forward/memory_peak_max_gb: 10.120736122131348 + reference_perf/forward/to_device/duration_avg_s: 8.935350924730301e-05 + reference_perf/forward/to_device/duration_max_s: 0.00010002125054597855 + reference_perf/forward/total_duration_avg_s: 0.0340528316795826 + reference_perf/forward/total_duration_max_s: 0.03414475079625845 + rl_trainer/avg_loss: 0.43143904209136963 + rl_trainer/learning_rate: 9.16916916916917e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006089536473155022 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006089536473155022 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005336804315447807 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005336804315447807 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.882379992865026 + rl_trainer_perf/push_weights/total_duration_max_s: 2.882379992865026 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.8812353359535336 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.8812353359535336 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.19126053899526596 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.19126053899526596 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 + rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0032024085521698 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0032024085521698 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01799120008945465 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01799120008945465 + rl_trainer_perf/step/total_duration_avg_s: 0.2124562505632639 + rl_trainer_perf/step/total_duration_max_s: 0.2124562505632639 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:20:31 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:20:31 INFO Pushing weights for policy version 86 +[ReferenceModel-0/1] 2025-11-20 09:20:31 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:20:32 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:20:33 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:20:34 INFO Completed weights push in 2.95 seconds +[Generator-0/1] 2025-11-20 09:20:34 INFO [Generator] Fetching weights for v86 to shared memory +INFO 11-20 09:20:36 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:20:36 INFO Weight update completed (now v86) +[ReferenceModel-0/1] 2025-11-20 09:20:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[BUFFER ADD] Added 16/16 episodes with policy_v=84 +[TRAINING] Step 85: Starting training + +================================================================================ +[ROLLOUT 296] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=85 + +================================================================================ +[ROLLOUT 297] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=85 + +================================================================================ +[ROLLOUT 298] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=85 +Dropping weights @ version 85 + +================================================================================ +[ROLLOUT 299] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=85 +Dropped weights @ version 85, took 0.95 seconds +WandbBackend: Logged 127 metrics at step 86 +=== [global_reduce] - METRICS STEP 86 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 67.0 + buffer/episodes_accepted: 80.0 + buffer/episodes_generated: 80.0 + buffer/evict/sum_episodes_evicted: 66.0 + 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rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 + rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0034476518630981445 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0034476518630981445 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01962531916797161 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01962531916797161 + rl_trainer_perf/step/total_duration_avg_s: 0.19246299285441637 + rl_trainer_perf/step/total_duration_max_s: 0.19246299285441637 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:20:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:20:37 INFO Pushing weights for policy version 87 +[ReferenceModel-0/1] 2025-11-20 09:20:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:20:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:20:39 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:20:40 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:20:40 INFO Completed weights push in 3.06 seconds +[Generator-0/1] 2025-11-20 09:20:40 INFO [Generator] Fetching weights for v87 to shared memory +INFO 11-20 09:20:43 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:20:43 INFO Weight update completed (now v87) +[TRAINING] Step 86: Starting training + +================================================================================ +[ROLLOUT 300] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=86 + +================================================================================ +[ROLLOUT 301] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=86 + +================================================================================ +[ROLLOUT 302] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=86 + +================================================================================ +[ROLLOUT 303] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=86 +Dropping weights @ version 86 + +================================================================================ +[ROLLOUT 304] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 5, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your 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+[ReferenceModel-0/1] 2025-11-20 09:20:46 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:20:47 INFO Completed weights push in 2.56 seconds +[Generator-0/1] 2025-11-20 09:20:47 INFO [Generator] Fetching weights for v88 to shared memory +INFO 11-20 09:20:49 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:20:49 INFO Weight update completed (now v88) +[ReferenceModel-0/1] 2025-11-20 09:20:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 87: Starting training + +================================================================================ +[ROLLOUT 305] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=87 + +================================================================================ +[ROLLOUT 306] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=87 + +================================================================================ +[ROLLOUT 307] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=87 +Dropping weights @ version 87 + +================================================================================ +[ROLLOUT 308] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=87 +Dropped weights @ version 87, 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09:20:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:20:50 INFO Pushing weights for policy version 89 +[ReferenceModel-0/1] 2025-11-20 09:20:51 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:20:52 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:20:52 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:20:53 INFO Completed weights push in 2.85 seconds +[Generator-0/1] 2025-11-20 09:20:53 INFO [Generator] Fetching weights for v89 to shared memory +INFO 11-20 09:20:56 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:20:56 INFO Weight update completed (now v89) +[ReferenceModel-0/1] 2025-11-20 09:20:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 88: Starting training + +================================================================================ +[ROLLOUT 309] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=88 + +================================================================================ +[ROLLOUT 310] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=88 + +================================================================================ +[ROLLOUT 311] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=88 +Dropping weights @ version 88 + +================================================================================ +[ROLLOUT 312] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=88 + +================================================================================ +[ROLLOUT 313] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:20:57 INFO [GC] Performing periodic GC collection took 0.00 seconds + +Dropped weights @ version 88, took 1.00 seconds +WandbBackend: Logged 127 metrics at step 89 +=== [global_reduce] - METRICS STEP 89 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 76.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.2191780821917808 + buffer/sample/avg_sampled_policy_age: 0.9375 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.001317187212407589 + buffer_perf/sample/total_duration_max_s: 0.001317187212407589 + episode/total_tokens: 231.10666666666665 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.13333333333333333 + game/games_played: 75.0 + game/invalid_action_rate: 0.0 + game/win_rate: 0.4266666666666667 + 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09:20:57 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:20:57 INFO Pushing weights for policy version 90 +[ReferenceModel-0/1] 2025-11-20 09:20:58 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:20:59 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:20:59 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:21:00 INFO Completed weights push in 3.02 seconds +[Generator-0/1] 2025-11-20 09:21:00 INFO [Generator] Fetching weights for v90 to shared memory +INFO 11-20 09:21:03 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:21:03 INFO Weight update completed (now v90) +[ReferenceModel-0/1] 2025-11-20 09:21:03 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 89: Starting training +[BUFFER ADD] Added 16/16 episodes with policy_v=89 + +================================================================================ +[ROLLOUT 314] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=89 + +================================================================================ +[ROLLOUT 315] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=89 + +================================================================================ +[ROLLOUT 316] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=89 +Dropping weights @ version 89 + +================================================================================ +[ROLLOUT 317] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 229, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=89 +Dropped weights @ version 89, took 0.94 seconds +WandbBackend: Logged 127 metrics at step 90 +=== [global_reduce] - METRICS STEP 90 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 80.0 + buffer/episodes_accepted: 80.0 + buffer/episodes_generated: 80.0 + buffer/evict/sum_episodes_evicted: 65.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.2222222222222222 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 1.0 + 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shared memory +[ReferenceModel-0/1] 2025-11-20 09:21:07 INFO [GC] Performing periodic GC collection took 0.00 seconds +INFO 11-20 09:21:09 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:21:09 INFO Weight update completed (now v91) +[TRAINING] Step 90: Starting training + +================================================================================ +[ROLLOUT 318] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 9 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 9<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=90 + +================================================================================ +[ROLLOUT 319] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=90 + +================================================================================ +[ROLLOUT 320] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=90 + +================================================================================ +[ROLLOUT 321] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=90 +Dropping weights @ version 90 + +================================================================================ +[ROLLOUT 322] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:21:10 INFO [GC] Performing periodic GC collection took 0.00 seconds + +Dropped weights @ version 90, took 0.85 seconds +WandbBackend: Logged 125 metrics at step 91 +=== [global_reduce] - METRICS STEP 91 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 71.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.19753086419753085 + buffer/sample/avg_sampled_policy_age: 0.9375 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + 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prefix cache +[Generator-0/1] 2025-11-20 09:21:16 INFO Weight update completed (now v92) +[ReferenceModel-0/1] 2025-11-20 09:21:16 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 91: Starting training +[BUFFER ADD] Added 16/16 episodes with policy_v=91 + +================================================================================ +[ROLLOUT 323] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=91 + +================================================================================ +[ROLLOUT 324] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=91 + +================================================================================ +[ROLLOUT 325] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=91 +Dropping weights @ version 91 + +================================================================================ +[ROLLOUT 326] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +Dropped weights @ version 91, took 0.79 seconds +WandbBackend: Logged 127 metrics at step 92 +=== [global_reduce] - METRICS STEP 92 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 73.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 77.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 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-0.8538709878921509 + loss_debug/advantages_std: 0.9542525410652161 + loss_debug/batch_size: 16.0 + loss_debug/beta_times_kl_mean: 0.052807554602622986 + loss_debug/final_loss: 0.15871590375900269 + loss_debug/kl_max: 6.501105785369873 + loss_debug/kl_mean: 0.5280755162239075 + loss_debug/kl_min: -5.960464477539063e-08 + loss_debug/kl_std: 1.4729794263839722 + loss_debug/logprob_diff_max: 1.1920926823449918e-07 + loss_debug/logprob_diff_mean: -0.6931875348091125 + loss_debug/logprob_diff_min: -7.500553131103516 + loss_debug/logprobs_max: 0.0 + loss_debug/logprobs_mean: -4.3792766746264533e-07 + loss_debug/logprobs_min: -7.271740287251305e-06 + loss_debug/logprobs_std: 1.2714625654552947e-06 + loss_debug/num_trainable_tokens: 144.0 + loss_debug/per_token_loss_max: 1.3792566061019897 + loss_debug/per_token_loss_mean: 0.15871591866016388 + loss_debug/per_token_loss_min: -1.436065673828125 + loss_debug/policy_loss_max: 1.436065673828125 + loss_debug/policy_loss_mean: -0.10590837150812149 + loss_debug/policy_loss_min: -0.8538709878921509 + loss_debug/ref_logprobs_max: 0.0 + loss_debug/ref_logprobs_mean: -0.693187952041626 + loss_debug/ref_logprobs_min: -7.500553131103516 + loss_debug/ref_logprobs_std: 1.7735425233840942 + loss_debug/seq_len: 232.0 + loss_debug/targets_max: 151645.0 + loss_debug/targets_min: -100.0 + main/continuous_rollouts/count_rollout_iterations: 4.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 1.4496372574940324 + main_perf/continuous_rollouts/play_games/duration_max_s: 3.3736749133095145 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.0474799582734704 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.0478708790615201 + main_perf/continuous_rollouts/total_duration_avg_s: 1.5396448054816574 + main_perf/continuous_rollouts/total_duration_max_s: 3.4603249160572886 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.7950487844645977 + 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0.01780534740537405 + reference_perf/forward/compute_logprobs/duration_max_s: 0.018101361580193043 + reference_perf/forward/count_forward_passes: 4.0 + reference_perf/forward/forward/duration_avg_s: 0.015848213247954844 + reference_perf/forward/forward/duration_max_s: 0.016360522247850895 + reference_perf/forward/garbage_collection/duration_avg_s: 0.0004203557968139648 + reference_perf/forward/garbage_collection/duration_max_s: 0.00043954700231552124 + reference_perf/forward/memory_delta_end_start_avg_gb: 1.0505619049072266 + reference_perf/forward/memory_peak_max_gb: 10.120736122131348 + reference_perf/forward/to_device/duration_avg_s: 0.00011406876146793365 + reference_perf/forward/to_device/duration_max_s: 0.00011884979903697968 + reference_perf/forward/total_duration_avg_s: 0.03419032096862793 + reference_perf/forward/total_duration_max_s: 0.03421947732567787 + rl_trainer/avg_loss: 0.15871590375900269 + rl_trainer/learning_rate: 9.0990990990991e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006503164768218994 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006503164768218994 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005313064903020859 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005313064903020859 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.5891784075647593 + rl_trainer_perf/push_weights/total_duration_max_s: 2.5891784075647593 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.5879944507032633 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.5879944507032633 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.16930564772337675 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.16930564772337675 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 + rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003177821636199951 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003177821636199951 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.019749573431909084 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.019749573431909084 + rl_trainer_perf/step/total_duration_avg_s: 0.19223499577492476 + rl_trainer_perf/step/total_duration_max_s: 0.19223499577492476 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:21:16 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:21:17 INFO Pushing weights for policy version 93 +[ReferenceModel-0/1] 2025-11-20 09:21:17 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:21:18 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:21:19 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:21:19 INFO Completed weights push in 2.65 seconds +[Generator-0/1] 2025-11-20 09:21:19 INFO [Generator] Fetching weights for v93 to shared memory +INFO 11-20 09:21:22 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:21:22 INFO Weight update completed (now v93) +[ReferenceModel-0/1] 2025-11-20 09:21:23 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 92: Starting training +[BUFFER ADD] Added 16/16 episodes with policy_v=91 + +================================================================================ +[ROLLOUT 327] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=92 + +================================================================================ +[ROLLOUT 328] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 21, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 21, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=92 + +================================================================================ +[ROLLOUT 329] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=92 +Dropping weights @ version 92 + +================================================================================ +[ROLLOUT 330] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=92 +Dropped weights @ version 92, took 0.92 seconds +WandbBackend: Logged 127 metrics at step 93 +=== [global_reduce] - METRICS STEP 93 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 71.0 + buffer/episodes_accepted: 80.0 + buffer/episodes_generated: 80.0 + buffer/evict/sum_episodes_evicted: 68.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.21052631578947367 + buffer/sample/avg_sampled_policy_age: 0.75 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0014531547203660011 + buffer_perf/sample/total_duration_max_s: 0.0014531547203660011 + episode/total_tokens: 231.0 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: -0.24242424242424243 + game/games_played: 66.0 + game/invalid_action_rate: 0.0 + game/win_rate: 0.36363636363636365 + generator/generate/avg_tokens_generated: 9.0 + generator/generate/count_requests: 67.0 + 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seconds +[TitanTrainer-0/1] 2025-11-20 09:21:23 INFO Pushing weights for policy version 94 +[ReferenceModel-0/1] 2025-11-20 09:21:24 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:21:24 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:21:25 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:21:26 INFO Completed weights push in 2.69 seconds +[Generator-0/1] 2025-11-20 09:21:26 INFO [Generator] Fetching weights for v94 to shared memory +INFO 11-20 09:21:28 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:21:28 INFO Weight update completed (now v94) +[ReferenceModel-0/1] 2025-11-20 09:21:29 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 93: Starting training + +================================================================================ +[ROLLOUT 331] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=93 + +================================================================================ +[ROLLOUT 332] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=93 + +================================================================================ +[ROLLOUT 333] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=93 +Dropping weights @ version 93 + +================================================================================ +[ROLLOUT 334] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=93 +Dropped weights @ version 93, took 0.79 seconds +WandbBackend: Logged 127 metrics at step 94 +=== [global_reduce] - METRICS STEP 94 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 70.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.21621621621621623 + buffer/sample/avg_sampled_policy_age: 0.6875 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0027099810540676117 + buffer_perf/sample/total_duration_max_s: 0.0027099810540676117 + 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+[Generator-0/1] 2025-11-20 09:21:35 INFO Weight update completed (now v95) +[ReferenceModel-0/1] 2025-11-20 09:21:35 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 94: Starting training + +================================================================================ +[ROLLOUT 335] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=94 + +================================================================================ +[ROLLOUT 336] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=94 + +================================================================================ +[ROLLOUT 337] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=94 +Dropping weights @ version 94 + +================================================================================ +[ROLLOUT 338] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=94 +Dropped weights @ version 94, took 0.83 seconds +WandbBackend: Logged 127 metrics at step 95 +=== [global_reduce] - METRICS STEP 95 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 66.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.2222222222222222 + buffer/sample/avg_sampled_policy_age: 0.875 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.0018128203228116035 + buffer_perf/sample/total_duration_max_s: 0.0018128203228116035 + episode/total_tokens: 230.98529411764707 + episode/turns: 1.0 + game/average_turns: 1.0 + game/env_reward: 0.058823529411764705 + game/games_played: 68.0 + game/invalid_action_rate: 0.0 + game/win_rate: 0.5147058823529411 + generator/generate/avg_tokens_generated: 9.0 + generator/generate/count_requests: 68.0 + generator/generate/count_sequences_completed: 68.0 + generator/generate/sum_tokens_generated: 612.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 1.6022882154211402 + generator_perf/_fetch_weights/total_duration_max_s: 1.6022882154211402 + generator_perf/generate/generate/duration_avg_s: 0.07839305653291591 + generator_perf/generate/generate/duration_max_s: 2.648160888671875 + generator_perf/generate/process_inputs/duration_avg_s: 0.0009991999996024842 + generator_perf/generate/process_inputs/duration_max_s: 0.002843616008758545 + generator_perf/generate/total_duration_avg_s: 0.07948896759121526 + generator_perf/generate/total_duration_max_s: 2.649560984656215 + generator_perf/update_weights/avg_pending_requests: 1.0 + generator_perf/update_weights/max_pending_requests: 1.0 + generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5794808520004153 + generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5794808520004153 + generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7546546598896384 + generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7546546598896384 + groups/rate_dropped: 0.0 + loss_debug/advantages_max: 1.6769572496414185 + loss_debug/advantages_mean: -0.07176719605922699 + loss_debug/advantages_min: -0.8538709878921509 + loss_debug/advantages_std: 0.9779487252235413 + loss_debug/batch_size: 16.0 + loss_debug/beta_times_kl_mean: 0.05966527760028839 + loss_debug/final_loss: 0.13143250346183777 + loss_debug/kl_max: 6.501105785369873 + loss_debug/kl_mean: 0.5966528058052063 + loss_debug/kl_min: -5.960464477539063e-08 + loss_debug/kl_std: 1.5960354804992676 + loss_debug/logprob_diff_max: 3.576255949155893e-07 + loss_debug/logprob_diff_mean: -0.7725418210029602 + loss_debug/logprob_diff_min: -7.500553131103516 + loss_debug/logprobs_max: 0.0 + loss_debug/logprobs_mean: -4.271658156085323e-07 + loss_debug/logprobs_min: -6.6756979322235566e-06 + loss_debug/logprobs_std: 1.2101679658371722e-06 + loss_debug/num_trainable_tokens: 144.0 + loss_debug/per_token_loss_max: 1.454053282737732 + loss_debug/per_token_loss_mean: 0.13143248856067657 + loss_debug/per_token_loss_min: -1.6769572496414185 + loss_debug/policy_loss_max: 1.6769572496414185 + loss_debug/policy_loss_mean: -0.07176719605922699 + loss_debug/policy_loss_min: -0.8538709878921509 + loss_debug/ref_logprobs_max: 0.0 + loss_debug/ref_logprobs_mean: -0.7725421786308289 + loss_debug/ref_logprobs_min: -7.500553131103516 + loss_debug/ref_logprobs_std: 1.9053702354431152 + loss_debug/seq_len: 232.0 + loss_debug/targets_max: 151645.0 + loss_debug/targets_min: -100.0 + main/continuous_rollouts/count_rollout_iterations: 4.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 1.4705268261022866 + main_perf/continuous_rollouts/play_games/duration_max_s: 3.4416911862790585 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04744402365759015 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.048006544820964336 + main_perf/continuous_rollouts/total_duration_avg_s: 1.5613836427219212 + main_perf/continuous_rollouts/total_duration_max_s: 3.5400415621697903 + 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reference_perf/forward/avg_sequence_length: 232.0 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.017580973682925105 + reference_perf/forward/compute_logprobs/duration_max_s: 0.017791463062167168 + reference_perf/forward/count_forward_passes: 4.0 + reference_perf/forward/forward/duration_avg_s: 0.016082041896879673 + reference_perf/forward/forward/duration_max_s: 0.01621122471988201 + reference_perf/forward/garbage_collection/duration_avg_s: 0.00040784827433526516 + reference_perf/forward/garbage_collection/duration_max_s: 0.0004121549427509308 + reference_perf/forward/memory_delta_end_start_avg_gb: 1.0505619049072266 + reference_perf/forward/memory_peak_max_gb: 10.120736122131348 + reference_perf/forward/to_device/duration_avg_s: 0.00011396803893148899 + reference_perf/forward/to_device/duration_max_s: 0.00011596642434597015 + reference_perf/forward/total_duration_avg_s: 0.034186649369075894 + reference_perf/forward/total_duration_max_s: 0.03423298615962267 + rl_trainer/avg_loss: 0.13143250346183777 + rl_trainer/learning_rate: 9.06906906906907e-06 + rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006078323349356651 + rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006078323349356651 + rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 + rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 + rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005417820066213608 + rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005417820066213608 + rl_trainer_perf/push_weights/total_duration_avg_s: 2.7375484127551317 + rl_trainer_perf/push_weights/total_duration_max_s: 2.7375484127551317 + rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.7363967252895236 + rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.7363967252895236 + rl_trainer_perf/step/forward_backward/duration_avg_s: 0.17006819508969784 + rl_trainer_perf/step/forward_backward/duration_max_s: 0.17006819508969784 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 + rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0031307097524404526 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0031307097524404526 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.02028891257941723 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.02028891257941723 + rl_trainer_perf/step/total_duration_avg_s: 0.19348960928618908 + rl_trainer_perf/step/total_duration_max_s: 0.19348960928618908 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:21:36 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:21:36 INFO Pushing weights for policy version 96 +[ReferenceModel-0/1] 2025-11-20 09:21:36 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:21:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:21:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:21:39 INFO Completed weights push in 2.86 seconds +[Generator-0/1] 2025-11-20 09:21:39 INFO [Generator] Fetching weights for v96 to shared memory +[ReferenceModel-0/1] 2025-11-20 09:21:39 INFO [GC] Performing periodic GC collection took 0.00 seconds +INFO 11-20 09:21:41 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:21:41 INFO Weight update completed (now v96) +[TRAINING] Step 95: Starting training + +================================================================================ +[ROLLOUT 339] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=95 + +================================================================================ +[ROLLOUT 340] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=95 + +================================================================================ +[ROLLOUT 341] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=95 + +================================================================================ +[ROLLOUT 342] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=95 +Dropping weights @ version 95 + +================================================================================ +[ROLLOUT 343] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:21:42 INFO [GC] Performing periodic GC collection took 0.00 seconds + +Dropped weights @ version 95, took 0.87 seconds +WandbBackend: Logged 127 metrics at step 96 +=== [global_reduce] - METRICS STEP 96 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 65.0 + buffer/rate_rejected_truncated: 0.0 + 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+[ReferenceModel-0/1] 2025-11-20 09:21:45 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:21:45 INFO Completed weights push in 2.79 seconds +[Generator-0/1] 2025-11-20 09:21:45 INFO [Generator] Fetching weights for v97 to shared memory +INFO 11-20 09:21:48 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:21:48 INFO Weight update completed (now v97) +[ReferenceModel-0/1] 2025-11-20 09:21:48 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 96: Starting training +[BUFFER ADD] Added 16/16 episodes with policy_v=96 + +================================================================================ +[ROLLOUT 344] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=96 + +================================================================================ +[ROLLOUT 345] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 8, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 8, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=96 + +================================================================================ +[ROLLOUT 346] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=96 +Dropping weights @ version 96 + +================================================================================ +[ROLLOUT 347] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> 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0.19339431263506413 + rl_trainer_perf/step/total_duration_max_s: 0.19339431263506413 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:21:49 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:21:49 INFO Pushing weights for policy version 98 +[ReferenceModel-0/1] 2025-11-20 09:21:49 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:21:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:21:51 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:21:52 INFO Completed weights push in 2.87 seconds +[Generator-0/1] 2025-11-20 09:21:52 INFO [Generator] Fetching weights for v98 to shared memory +INFO 11-20 09:21:54 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:21:54 INFO Weight update completed (now v98) +[ReferenceModel-0/1] 2025-11-20 09:21:54 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 97: Starting training + +================================================================================ +[ROLLOUT 348] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 9, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 9, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=97 + +================================================================================ +[ROLLOUT 349] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=97 + +================================================================================ +[ROLLOUT 350] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=97 +Dropping weights @ version 97 + +================================================================================ +[ROLLOUT 351] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 7, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 7, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=97 +Dropped weights @ version 97, took 0.89 seconds +WandbBackend: Logged 127 metrics at step 98 +=== [global_reduce] - METRICS STEP 98 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 68.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.2 + buffer/sample/avg_sampled_policy_age: 0.875 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + 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0.0028913673013448715 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.019908465445041656 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.019908465445041656 + rl_trainer_perf/step/total_duration_avg_s: 0.1923504089936614 + rl_trainer_perf/step/total_duration_max_s: 0.1923504089936614 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:21:55 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:21:55 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:21:55 INFO Pushing weights for policy version 99 +[ReferenceModel-0/1] 2025-11-20 09:21:56 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:21:57 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:21:58 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:21:58 INFO Completed weights push in 2.87 seconds +[Generator-0/1] 2025-11-20 09:21:58 INFO [Generator] Fetching weights for v99 to shared memory +INFO 11-20 09:22:01 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:22:01 INFO Weight update completed (now v99) +[TRAINING] Step 98: Starting training + +================================================================================ +[ROLLOUT 352] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=98 + +================================================================================ +[ROLLOUT 353] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=98 + +================================================================================ +[ROLLOUT 354] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 6 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=98 + +================================================================================ +[ROLLOUT 355] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=98 +Dropping weights @ version 98 + +================================================================================ +[ROLLOUT 356] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 6 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:22:01 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[BUFFER ADD] Added 16/16 episodes with policy_v=98 +Dropped weights @ version 98, took 0.88 seconds +WandbBackend: Logged 127 metrics at step 99 +=== [global_reduce] - METRICS STEP 99 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 80.0 + buffer/episodes_accepted: 80.0 + buffer/episodes_generated: 80.0 + buffer/evict/sum_episodes_evicted: 73.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.22535211267605634 + buffer/sample/avg_sampled_policy_age: 1.0 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + 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09:22:05 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:22:05 INFO Completed weights push in 3.14 seconds +[Generator-0/1] 2025-11-20 09:22:05 INFO [Generator] Fetching weights for v100 to shared memory +INFO 11-20 09:22:08 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:22:08 INFO Weight update completed (now v100) +[TRAINING] Step 99: Starting training + +================================================================================ +[ROLLOUT 357] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=99 + +================================================================================ +[ROLLOUT 358] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=99 + +================================================================================ +[ROLLOUT 359] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=99 + +================================================================================ +[ROLLOUT 360] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number 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seconds +[TitanTrainer-0/1] 2025-11-20 09:22:09 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:22:09 INFO Pushing weights for policy version 101 +[ReferenceModel-0/1] 2025-11-20 09:22:09 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:22:10 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:22:11 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:22:11 INFO Completed weights push in 2.71 seconds +[Generator-0/1] 2025-11-20 09:22:11 INFO [Generator] Fetching weights for v101 to shared memory +INFO 11-20 09:22:14 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:22:14 INFO Weight update completed (now v101) + +================================================================================ +[ROLLOUT 361] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[TRAINING] Step 100: Starting training +[BUFFER ADD] Added 16/16 episodes with policy_v=99 + +================================================================================ +[ROLLOUT 362] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=100 + +================================================================================ +[ROLLOUT 363] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 17, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 17, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=100 + +================================================================================ +[ROLLOUT 364] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=100 +Dropping weights @ version 100 + +================================================================================ +[ROLLOUT 365] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:22:15 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[BUFFER ADD] 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09:22:15 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:22:15 INFO Pushing weights for policy version 102 +[ReferenceModel-0/1] 2025-11-20 09:22:16 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:22:17 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:22:17 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:22:18 INFO Completed weights push in 2.77 seconds +[Generator-0/1] 2025-11-20 09:22:18 INFO [Generator] Fetching weights for v102 to shared memory +INFO 11-20 09:22:21 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:22:21 INFO Weight update completed (now v102) +[ReferenceModel-0/1] 2025-11-20 09:22:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 101: Starting training + +================================================================================ +[ROLLOUT 366] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=101 + +================================================================================ +[ROLLOUT 367] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 14, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 14, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=101 + +================================================================================ +[ROLLOUT 368] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=101 +Dropping weights @ version 101 + +================================================================================ +[ROLLOUT 369] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=101 +Dropped weights @ version 101, took 0.82 seconds +WandbBackend: Logged 127 metrics at step 102 +=== [global_reduce] - METRICS STEP 102 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + buffer/episodes_generated: 64.0 + buffer/evict/sum_episodes_evicted: 74.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.20512820512820512 + buffer/sample/avg_sampled_policy_age: 0.875 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + 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+ loss_debug/final_loss: 0.08778396993875504 + loss_debug/kl_max: 6.501105785369873 + loss_debug/kl_mean: 0.5364885330200195 + loss_debug/kl_min: -5.960464477539063e-08 + loss_debug/kl_std: 1.5125991106033325 + loss_debug/logprob_diff_max: 0.0 + loss_debug/logprob_diff_mean: -0.6972326040267944 + loss_debug/logprob_diff_min: -7.500553131103516 + loss_debug/logprobs_max: 0.0 + loss_debug/logprobs_mean: -4.5696782535742386e-07 + loss_debug/logprobs_min: -9.417489309271332e-06 + loss_debug/logprobs_std: 1.4176671356835868e-06 + loss_debug/num_trainable_tokens: 144.0 + loss_debug/per_token_loss_max: 1.5683813095092773 + loss_debug/per_token_loss_mean: 0.08778393268585205 + loss_debug/per_token_loss_min: -2.015439510345459 + loss_debug/policy_loss_max: 2.015439510345459 + loss_debug/policy_loss_mean: -0.03413509577512741 + loss_debug/policy_loss_min: -0.9681990146636963 + loss_debug/ref_logprobs_max: 0.0 + loss_debug/ref_logprobs_mean: -0.6972330212593079 + loss_debug/ref_logprobs_min: 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0.003146214410662651 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01766277849674225 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01766277849674225 + rl_trainer_perf/step/total_duration_avg_s: 0.20117715187370777 + rl_trainer_perf/step/total_duration_max_s: 0.20117715187370777 +============================== + +[TitanTrainer-0/1] 2025-11-20 09:22:21 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:22:22 INFO Pushing weights for policy version 103 +[ReferenceModel-0/1] 2025-11-20 09:22:22 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:22:23 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:22:24 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:22:24 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:22:25 INFO Completed weights push in 2.91 seconds +[Generator-0/1] 2025-11-20 09:22:25 INFO [Generator] Fetching weights for v103 to shared memory +INFO 11-20 09:22:27 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:22:27 INFO Weight update completed (now v103) +[TRAINING] Step 102: Starting training + +================================================================================ +[ROLLOUT 370] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: Ace + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: Ace<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=102 + +================================================================================ +[ROLLOUT 371] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 4 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 4<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=102 + +================================================================================ +[ROLLOUT 372] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 6 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 6<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=102 + +================================================================================ +[ROLLOUT 373] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 13, Dealer: 7 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 13, Dealer: 7<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=102 +Dropping weights @ version 102 + +================================================================================ +[ROLLOUT 374] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 18, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 18, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ +[ReferenceModel-0/1] 2025-11-20 09:22:28 INFO [GC] Performing periodic GC collection took 0.00 seconds + +[BUFFER ADD] Added 16/16 episodes with policy_v=102 +Dropped weights @ version 102, took 0.89 seconds +WandbBackend: Logged 127 metrics at step 103 +=== [global_reduce] - METRICS STEP 103 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 80.0 + buffer/episodes_accepted: 80.0 + buffer/episodes_generated: 80.0 + buffer/evict/sum_episodes_evicted: 67.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 0.21333333333333335 + buffer/sample/avg_sampled_policy_age: 0.9375 + buffer/sample/count_sample_requests: 1.0 + buffer/sample/max_sampled_policy_age: 1.0 + 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to shared memory +INFO 11-20 09:22:34 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 09:22:34 INFO Weight update completed (now v104) +[ReferenceModel-0/1] 2025-11-20 09:22:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 103: Starting training + +================================================================================ +[ROLLOUT 375] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 19, Dealer: 2 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 19, Dealer: 2<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=103 + +================================================================================ +[ROLLOUT 376] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 15, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 15, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=103 + +================================================================================ +[ROLLOUT 377] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 20, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 20, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=103 +Dropping weights @ version 103 + +================================================================================ +[ROLLOUT 378] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 230, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 5, Dealer: 5 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 5, Dealer: 5<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=103 +Dropped weights @ version 103, took 0.82 seconds +WandbBackend: Logged 127 metrics at step 104 +=== [global_reduce] - METRICS STEP 104 === + buffer/acceptance_rate: 1.0 + buffer/add/count_episodes_added: 64.0 + buffer/episodes_accepted: 64.0 + 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+[ReferenceModel-0/1] 2025-11-20 09:22:36 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:22:37 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 09:22:38 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 09:22:38 INFO Completed weights push in 2.86 seconds +[Generator-0/1] 2025-11-20 09:22:38 INFO [Generator] Fetching weights for v105 to shared memory +Traceback (most recent call last): + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run +Traceback (most recent call last): + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run +Traceback (most recent call last): + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run +Traceback (most recent call last): + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run +INFO: Shutting down +INFO: Waiting for application shutdown. +INFO: Application shutdown complete. +INFO: Finished server process [163517] +[TRAINING] Step 104: Starting training + +================================================================================ +[ROLLOUT 379] Episode 0 Debug Info +================================================================================ +Reward: 3.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 12, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 12, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=104 + +================================================================================ +[ROLLOUT 380] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 16, Dealer: 3 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 16, Dealer: 3<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=104 + +================================================================================ +[ROLLOUT 381] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 231, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 11, Dealer: 8 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 11, Dealer: 8<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=104 + +================================================================================ +[ROLLOUT 382] Episode 0 Debug Info +================================================================================ +Reward: -1.0, Truncated: False, Turns: 1 +Total tokens: 232, Trainable tokens: 9 + +--- Messages --- + [0] system : You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without goi... + [1] user : Hand: 10, Dealer: 10 + [2] assistant : STAND + +--- Decoded all_token_ids --- +<|im_start|>system +You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND<|im_end|> +<|im_start|>user +Hand: 10, Dealer: 10<|im_end|> +<|im_start|>assistant + + + + +STAND<|im_end|> + +================================================================================ + + +--- decoded_response_text --- +STAND<|im_end|> +================================================================================ + +[BUFFER ADD] Added 16/16 episodes with policy_v=104 +Shutting down... (this may take a few seconds) +Timeout waiting for rollouts; forcing cancellation... +Shutting down Forge actors... +Shutting down metric logger... +Metric logging fetcher shutdown timed out likely due to the child process being terminated before the parent. +wandb: uploading history steps 102-102, summary, console lines 34839-35241; updating run metadata +wandb: uploading history steps 103-103, summary, console lines 35242-35242 +wandb: +wandb: Run history: +wandb: buffer/acceptance_rate ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ +wandb: buffer/add/count_episodes_added █▂▂▁▁▁▁▁▁▁▁▁▁▁▂▁▃▂▂▂▂▁▂▃▃▃▂▂▂▃▃▂▂▂▂▂▃▂▃▃ +wandb: buffer/episodes_accepted ▄▅▅▂▂▁▁▁▁▂▂▁▂▁▁▄▁▇▄▄▄▄▄▄▅██▅▅▇▅▅▇▅▅▇▅▅▅▅ +wandb: buffer/episodes_generated █▁▂▂▂▁▁▁▁▁▁▁▁▁▂▁▁▁▂▁▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ +wandb: buffer/evict/sum_episodes_evicted ▁█▂▂▂▂▁▁▁▁▁▁▁▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ +wandb: buffer/rate_rejected_truncated ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ +wandb: buffer/sample/avg_data_utilization ▁▂▂▄▄█▇▆▆▅██▄▃▆▃▂▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ +wandb: buffer/sample/avg_sampled_policy_age ▇▆██▆▄▃███▃█▁██▇▆█▆███▇▇█▆█▇▇▇▆▆▆█▇█▆█▆▆ +wandb: buffer/sample/count_sample_requests ▆▁▁▁▁▂▃▁▄▂▁▁▁█▄▁▆▁▁▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ +wandb: buffer/sample/max_sampled_policy_age ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ +wandb: +120 ... +wandb: +wandb: Run summary: +wandb: buffer/acceptance_rate 1 +wandb: buffer/add/count_episodes_added 64 +wandb: buffer/episodes_accepted 64 +wandb: buffer/episodes_generated 64 +wandb: buffer/evict/sum_episodes_evicted 71 +wandb: buffer/rate_rejected_truncated 0 +wandb: buffer/sample/avg_data_utilization 0.19048 +wandb: buffer/sample/avg_sampled_policy_age 0.8125 +wandb: buffer/sample/count_sample_requests 1 +wandb: buffer/sample/max_sampled_policy_age 1 +wandb: +120 ... +wandb: +wandb: 🚀 View run stilted-darkness-75 at: https://wandb.ai/cabernet-team/blackjack-grpo/runs/ju39r27c +wandb: ⭐️ View project at: https://wandb.ai/cabernet-team/blackjack-grpo +wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s) +wandb: Find logs at: ./wandb/run-20251120_090730-ju39r27c/logs +WandbBackend global_reduce: Finished run +Shutting down provisioner.. +Shutting down 2 service(s) and 4 actor(s)... +Health loop stopped gracefully. +Traceback (most recent call last): + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run + return self._loop.run_until_complete(task) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete + return future.result() + ^^^^^^^^^^^^^^^ + File "/home/felipemello/forge/apps/blackjack/main_v2.py", line 1934, in main + await training_task + File "/home/felipemello/forge/apps/blackjack/main_v2.py", line 1908, in continuous_training + await policy.update_weights.fanout(training_step) + File "/home/felipemello/forge/src/forge/controller/service/interface.py", line 101, in fanout + result = await self.service.call_all(self.endpoint_name, *args, **kwargs) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/felipemello/forge/src/forge/controller/service/service.py", line 231, in call_all + result = await request.future + ^^^^^^^^^^^^^^^^^^^^ +asyncio.exceptions.CancelledError + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "", line 198, in _run_module_as_main + File "", line 88, in _run_code + File "/home/felipemello/forge/apps/blackjack/main_v2.py", line 1986, in + _main() # @parse grabs the cfg from CLI + ^^^^^^^ + File "/home/felipemello/forge/src/forge/util/config.py", line 313, in wrapper + sys.exit(recipe_main(conf)) + ^^^^^^^^^^^^^^^^^ + File "/home/felipemello/forge/apps/blackjack/main_v2.py", line 1984, in _main + asyncio.run(main(cfg)) + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 195, in run + return runner.run(main) + ^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 123, in run + raise KeyboardInterrupt() +KeyboardInterrupt +⚠ Forge shutdown timed out after 10s, forcing exit... +Stopping 1 OpenSpiel servers... +✓ All OpenSpiel servers stopped diff --git a/src/forge/actors/reference_model.py b/src/forge/actors/reference_model.py index 2f9983b56..d5c0769ff 100644 --- a/src/forge/actors/reference_model.py +++ b/src/forge/actors/reference_model.py @@ -15,9 +15,10 @@ import torch from forge.controller import ForgeActor +from forge.data.common import CROSS_ENTROPY_IGNORE_IDX from forge.observability.metrics import record_metric, Reduce from forge.observability.perf_tracker import Tracer -from forge.util.ops import compute_logprobs +from forge.util.ops import compute_logprobs, create_shifted_targets from monarch.actor import current_rank, current_size, endpoint from torch.distributed.tensor import DTensor @@ -126,21 +127,16 @@ async def setup(self): @endpoint async def forward( - self, input_ids: torch.Tensor, max_req_tokens: int, return_logprobs: bool + self, + input_ids: torch.Tensor, + return_logprobs: bool, + loss_mask: torch.Tensor = None, ) -> torch.Tensor: """ Args: - input_ids (torch.Tensor): input token ids with shape [group_size, req + res length]. - max_req_tokens (int): maximum request length. - return_logprobs (bool): whether to return log probabilities instead of raw logits. - - return_logprobs flag significantly impacts the amount of data transferred to the caller: - - When False: Returns logits with shape [group_size, req + res_length, vocab_size]. - This includes the full vocabulary distribution for each token position. - - - When True: Returns log probabilities with shape [group_size, req_length]. - This only includes probabilities for the request tokens, significantly reducing memory - usage and transfer overhead. + input_ids: Input token ids [batch, seq_len] + return_logprobs: Whether to return logprobs + loss_mask: Optional mask for which positions to compute logprobs [batch, seq_len] """ # Record reference model metrics record_metric("reference_perf/forward/count_forward_passes", 1, Reduce.SUM) @@ -188,7 +184,14 @@ async def forward( t.stop() return logits else: - logprobs = compute_logprobs(logits, input_ids[:, max_req_tokens:]) + # Create targets using utility function (loss_mask=None means all trainable) + targets = create_shifted_targets(input_ids, loss_mask) + + # Compute logprobs using updated compute_logprobs + logprobs = compute_logprobs( + logits, targets, ignore_index=CROSS_ENTROPY_IGNORE_IDX + ) + t.step("compute_logprobs") t.stop() return logprobs diff --git a/src/forge/data/common.py b/src/forge/data/common.py new file mode 100644 index 000000000..472faf34c --- /dev/null +++ b/src/forge/data/common.py @@ -0,0 +1,10 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + + +# PyTorch cross_entropy default ignore index for masking positions +# Positions with this value in targets will be ignored during loss computation +CROSS_ENTROPY_IGNORE_IDX = -100 diff --git a/src/forge/util/ops.py b/src/forge/util/ops.py index f7152f065..4720f9c5b 100644 --- a/src/forge/util/ops.py +++ b/src/forge/util/ops.py @@ -7,91 +7,73 @@ import torch import torch.nn.functional as F +from forge.data.common import CROSS_ENTROPY_IGNORE_IDX + def compute_logprobs( logits: torch.Tensor, - input_ids: torch.Tensor, + targets: torch.Tensor, temperature: float = 1.0, - align: bool = True, + ignore_index: int = CROSS_ENTROPY_IGNORE_IDX, ) -> torch.Tensor: """ - Computes the log probabilities of the input tokens given the model logits and temperature. - Always converts inputs to fp32 for numerical stability. - - This function handles two common usage patterns: - - **Pattern 1: Pre-aligned logits (align=False)** - Use when logits are already aligned with input_ids, typically when you: - - Pass input_ids to the model: model(input_ids) -> logits - - The model outputs logits[i] that predict target_ids[i] - - logits.shape[1] == input_ids.shape[1] - - Example: - >>> input_ids = torch.tensor([[1, 2, 3, 4]]) # Model input - >>> target_ids = torch.tensor([[2, 3, 4, 5]]) # Shifted by 1 (next-token prediction) - >>> logits = model(input_ids) # Shape: [1, 4, vocab_size] - >>> # logits already aligned: logits[:, i] predicts target_ids[:, i] - >>> logprobs = compute_logprobs(logits, target_ids, align=False) - - **Pattern 2: Full-sequence logits needing alignment (align=True, default)** - Use when you have logits for the full sequence but only want log probs for a subset - (e.g., just the response tokens, not the prompt). The function will: - - Slice logits to match the length of input_ids - - Take logits[:, -len(input_ids)-1:-1] to get positions that predict input_ids - - Example: - >>> # Full sequence passed to model: [prompt + response] - >>> full_input_ids = torch.tensor([[1, 2, 3, 4, 5, 6]]) # Prompt + response - >>> logits = model(full_input_ids) # Shape: [1, 6, vocab_size] - >>> # Only want log probs for response tokens - >>> response_tokens = torch.tensor([[4, 5, 6]]) # Just the response - >>> logprobs = compute_logprobs(logits, response_tokens, align=True) - >>> # Function slices logits[:, -4:-1] to get logits that predict tokens [4, 5, 6] - - The alignment logic ensures that when you have a full sequence but only want log - probabilities for the response portion, you don't need to re-run the model. This - is a key optimization in RL training where the prompt remains constant. + Computes the log probabilities of target tokens given the model logits. Args: - logits (`torch.Tensor`): - The model output logits of shape `(batch_size, sequence_length, vocab_size)`. - input_ids (`torch.Tensor`): - The target token ids of shape `(batch_size, target_sequence_length)`. - These are the tokens for which you want to compute log probabilities. - temperature (`float`, *optional*, defaults to 1.0): - The temperature value for scaling logits before computing log probabilities. - Higher values make the distribution more uniform, lower values more peaked. - align (`bool`, *optional*, defaults to True): - If True (default), align logits with input_ids by slicing to extract the - relevant positions from a longer sequence (Pattern 2). - If False, assume logits are already aligned with input_ids (Pattern 1). + logits: Model logits [batch, seq_len, vocab] + targets: Target token IDs [batch, seq_len] + temperature: Temperature for scaling + ignore_index: Positions with this value in targets are masked (get 0.0 logprob) Returns: - torch.Tensor: Log probabilities of shape `(batch_size, target_sequence_length)`. - Each element [b, i] is the log probability of input_ids[b, i] given the - corresponding logits. - - Note: - This function uses cross_entropy instead of log_softmax + gather for better - numerical stability, especially important for fp16/bf16 training. + logprobs: [batch, seq_len] - Positions with ignore_index automatically get 0.0 """ - # Align logits with input_ids if requested - if align: - # Ignore the last token from logits because it predicts the next token (-1) - # And align logits with the input tokens length. - logits = logits[:, -input_ids.size(1) - 1 : -1, :].to(input_ids.device) - scaled_logits = logits / temperature - - # Cast up to fp32 for numerical stability scaled_logits_fp32 = scaled_logits.float() - # get per-token log probs batch_size, seq_len, vocab_size = scaled_logits_fp32.shape logprobs = -F.cross_entropy( scaled_logits_fp32.reshape(-1, vocab_size), - input_ids.reshape(-1).long(), + targets.reshape(-1).long(), reduction="none", + ignore_index=ignore_index, ) return logprobs.reshape(batch_size, seq_len) + + +def create_shifted_targets( + input_ids: torch.Tensor, + loss_mask: torch.Tensor | None = None, + ignore_index: int = CROSS_ENTROPY_IGNORE_IDX, +) -> torch.Tensor: + """ + Create next-token prediction targets using torch.roll. + Maintains same shape as input_ids. + + Args: + input_ids: [batch, seq_len] or [seq_len] - Input token IDs + loss_mask: [batch, seq_len] or [seq_len] - Trainable positions (bool or float) + If None, all positions are trainable + ignore_index: Value for masked positions (default: -100) + + Returns: + targets: Same shape as input_ids + targets[i] = input_ids[i+1] where trainable, else ignore_index + """ + if input_ids.dim() == 1: + # 1D case + targets = torch.roll(input_ids, shifts=-1, dims=0) + targets[-1] = ignore_index # Last position wraps, mask it + else: + # 2D case (batched) + targets = torch.roll(input_ids, shifts=-1, dims=-1) + targets[:, -1] = ignore_index # Last position wraps, mask it + + if loss_mask is not None: + loss_mask = loss_mask.to(input_ids.device) + targets = torch.where( + loss_mask.bool(), targets, torch.full_like(targets, ignore_index) + ) + + return targets From 2860ec97d3054d1c841c67d902b1980cf37390ab Mon Sep 17 00:00:00 2001 From: Felipe Mello Date: Thu, 20 Nov 2025 14:12:04 -0800 Subject: [PATCH 09/11] cleanup and instructions --- apps/blackjack/PLAN.md | 889 -------- apps/blackjack/README.md | 300 --- apps/blackjack/blackjack_env.py | 182 ++ apps/blackjack/main.py | 1360 ++++++----- apps/blackjack/main_v2.py | 1986 ----------------- apps/blackjack/openenv_patch/README.md | 65 + apps/blackjack/openenv_patch/apply_patch.py | 39 + .../openenv_patch/openenv_blackjack.patch | 160 ++ apps/blackjack/token_accumulator.py | 621 ++++++ debug/debug.md | 174 ++ out3.txt | 1949 ++++++++++++++++ 11 files changed, 3971 insertions(+), 3754 deletions(-) delete mode 100644 apps/blackjack/PLAN.md delete mode 100644 apps/blackjack/README.md create mode 100644 apps/blackjack/blackjack_env.py delete mode 100644 apps/blackjack/main_v2.py create mode 100644 apps/blackjack/openenv_patch/README.md create mode 100755 apps/blackjack/openenv_patch/apply_patch.py create mode 100644 apps/blackjack/openenv_patch/openenv_blackjack.patch create mode 100644 apps/blackjack/token_accumulator.py create mode 100644 debug/debug.md create mode 100644 out3.txt diff --git a/apps/blackjack/PLAN.md b/apps/blackjack/PLAN.md deleted file mode 100644 index 5ff898a82..000000000 --- a/apps/blackjack/PLAN.md +++ /dev/null @@ -1,889 +0,0 @@ -# Blackjack Multi-Turn Refactor Plan - -## Context - -### Initial Requirements -From the user: -> Currently the evaluate_response and playgame are a mess. A lot of places are parsing the output. It doesn't make any sense. -> -> Also, what I am seeing is that we are giving the reward we want, but the reward should come from the env. -> -> We need to clean up the file. I guess in our case we want to change the reward to something like this: -> - We win, then reward is 3 -> - We play and lose, then reward is 1 -> - We don't have Hit or Stand, then reward is -1 -> -> But we need to get this reward per interaction, which leads to the next issue: The way that it's currently implemented is not really multiturn. Multiturn would be: -> ``` -> A: Hit, -> tool: 7 -> A: Hit, -> tool: 14 -> ``` -> but we are not ready for it, so don't worry about it. We will get there. - -### Architecture Alignment -This plan now aligns with Forge's broader multi-turn tool calling architecture: -- **Message format** (from `1_message_format_for_tool_calling.md`): Dataset returns messages, formatting happens in rollout loop -- **Episode class** (from `2_episode_class.md`): New Episode with response_mask, all_token_ids, logprobs -- **Truncation** (from `3_truncation.md`): Episode-level budget tracking with max_seq_len - ---- - -## The Core Problem - -**Current implementation has a fundamental learning bug**: All steps in a game get the SAME final reward. - -Example: -```python -# Game: HIT (15→18), HIT (18→20), STAND (20) → WIN (+1) -# Current: All 3 steps get reward +3 -# Problem: Can't distinguish good HITs from bad HITs! - -# Game: HIT (15→18), HIT (18→23) → BUST (-1) -# Current: All 2 steps get reward -1 -# Problem: First HIT was good! Second HIT was bad! -``` - -**Root cause**: We create ONE episode per step instead of ONE episode per game with all turns concatenated. - -**Solution**: Multi-turn episode where: -- ONE episode per game (not per step) -- All turns concatenated into single sequence -- Response mask marks which tokens to train on (critical for future tool calling) -- Single final reward applies to entire sequence - -This architecture works for both: -- **Blackjack now**: Multiple game steps (HIT/STAND) in one episode -- **Tool calling later**: Multiple LLM + tool interactions in one episode - ---- - -## Architecture Overview - -### Current (Broken) -```python -# play_game() returns multiple step_results -# continuous_rollouts() creates one Episode per step -for step_result in all_step_results: - episode = Episode(...) # Same game_id, same final_reward - episodes.append(episode) -``` - -### New (Fixed) -```python -# Dataset returns structured messages (not formatted strings) -sample = await dataloader.sample.call_one() -messages = sample["messages"] # List of message dicts - -# play_game() formats messages each turn, returns ONE episode per game -episode = await play_game( - messages=messages, # Initial messages from dataset - tokenizer=tokenizer, # Passed from main - max_seq_len=2048, # Episode-level budget - ... -) - -# Episode contains all turns concatenated -episode = Episode( - all_token_ids=[prompt1, resp1, prompt2, resp2, ...], - response_mask=[0, 0, 1, 1, 0, 0, 1, 1, ...], # 0=prompt, 1=response - logprobs=[0, 0, logp1, logp2, 0, 0, logp3, ...], - reward=final_game_reward -) -``` - ---- - -## Key Changes from Current Code - -### 1. Message Format Changes -**From `1_message_format_for_tool_calling.md`:** - -| Component | Current | New | -|-----------|---------|-----| -| **Dataset** | Returns formatted string from `apply_chat_template()` | Returns `{"messages": [...], "target": ...}` | -| **Rollout Loop** | Receives string, passes to generator | Formats messages with `tokenizer.apply_chat_template()` each turn | -| **Generator** | Receives string | Unchanged - still receives string | -| **Tokenizer location** | Not available in rollout | Passed from main → rollout loop → play_game | - -**Why**: Need message structure to add game state each turn and prepare for tool calling. - -### 2. Episode Class Changes -**From `2_episode_class.md`:** - -| Field | Current | New | Why | -|-------|---------|-----|-----| -| `pad_id, request_len, response_len` | ✅ Used | ❌ Removed | Workarounds for missing response_mask | -| `response_mask` | ❌ Missing | ✅ Required | Marks which tokens to train on | -| `all_token_ids` | ❌ Missing | ✅ Required | Concatenated tokens from all turns | -| `logprobs` | ❌ Missing | ✅ Required | Log probabilities for all tokens | -| `completion` | ✅ Stores full object | ❌ Removed | Memory waste, just extract needed fields | -| `generator_version` | From `completion` | ✅ First-class field | Critical for replay buffer eviction | -| `is_truncated` | ❌ Missing | ✅ First-class field | Mark incomplete episodes | -| `message_log` | ❌ Missing | ✅ Optional | Store conversation for debugging | - -### 3. Truncation Strategy -**From `3_truncation.md`:** - -- **Episode-level budget**: `max_seq_len=2048` (covers all turns) -- **Per-turn checks**: Before each generation, check if `len(prompt_tokens) >= max_seq_len` -- **Dynamic max_tokens**: `max_tokens = max_seq_len - len(prompt_tokens)` -- **Mid-generation truncation**: Stop if `response.stop_reason == "length"` -- **Prefix caching**: Enable for 2-3x speedup on multi-turn prompts - ---- - -## Implementation Steps - -### Goals -1. ONE function that parses model output (no scattered parsing) -2. Use environment reward as base with custom penalties for invalid actions -3. Create ONE episode per game with all turns concatenated -4. Add response_mask to prevent training on prompts -5. Format messages in rollout loop (not dataset) -6. Episode-level budget tracking with max_seq_len -7. Collate function handles variable-length episodes - ---- - -### Step 1: Create New Episode Class - -**File**: `apps/blackjack/episode.py` (new file) - -**Based on `2_episode_class.md`:** - -```python -from dataclasses import dataclass, field -from typing import Any -import torch - - -@dataclass -class Episode: - """ - Episode data for GRPO training with multi-turn support. - - For blackjack (multi-turn game, single episode): - - all_token_ids: [prompt1, resp1, prompt2, resp2, ...] - - response_mask: [0, 0, ..., 1, 1, ..., 0, 0, ..., 1, 1, ...] - [ prompt1 ][ resp1 ][ prompt2 ][ resp2 ] - - reward: Final game outcome (win/loss/push) - - One episode = one complete game with all turns. - """ - - # ============ Core Identifiers ============ - episode_id: str - task_name: str | None = None # e.g., "blackjack" - - # ============ Policy Version (for replay buffer eviction) ============ - generator_version: int = 0 - is_truncated: bool = False # Hit max_seq_len or max_turns - - # ============ Token Data ============ - all_token_ids: torch.Tensor # Shape: (seq_len,) - logprobs: torch.Tensor # Shape: (seq_len,) - response_mask: torch.Tensor # Shape: (seq_len,) - # 1.0 = train on this token (response) - # 0.0 = skip this token (prompt) - - # ============ Rewards & Training ============ - reward: float | None = None - advantage: float | None = None - ref_logprobs: torch.Tensor | None = None # Shape: (seq_len,) - - # ============ Metadata ============ - metadata: dict[str, Any] = field(default_factory=dict) - # Suggested fields: - # - num_turns: int - # - game_id: str - # - env_reward: float (raw from environment) - # - has_invalid_action: bool - # - truncation_reason: str ("max_seq_len", "max_turns", "generation_length", None) - - # ============ Optional Debugging ============ - message_log: list[dict[str, Any]] | None = None - # OpenAI-compatible messages for debugging/analysis - -# Type alias for GRPO groups -Group = list[Episode] -``` - -**Key differences from current Episode (main.py:80-122)**: -- ❌ Remove: `pad_id`, `request_len`, `response_len`, `completion` -- ✅ Add: `all_token_ids`, `logprobs`, `response_mask`, `is_truncated`, `message_log` -- ✅ Move: `generator_version` from `completion` to first-class field - ---- - -### Step 2: Create Unified Parser - -**File**: `apps/blackjack/main.py` - -```python -def parse_action(response_text: str) -> str: - """ - Parse action from model's text response. - - Returns: - "HIT", "STAND", or "INVALID" - - Note: - INVALID actions default to STAND in play_game() but are penalized - in the reward function (-1 regardless of game outcome). - """ - text_lower = response_text.lower().strip() - - if text_lower.endswith("hit"): - return "HIT" - elif text_lower.endswith("stand"): - return "STAND" - else: - return "INVALID" -``` - -**Replace**: Current `parse_action()` at main.py:244-256 - ---- - -### Step 3: Create Reward Calculation Function - -**File**: `apps/blackjack/main.py` - -```python -def calculate_reward( - env_reward: float, -) -> float: - """ - Reward structure: - - Win: +3 - - Else: -1 - - Args: - env_reward: Raw environment reward (+1 win, 0 push, -1 loss) - - Returns: - Final shaped reward for training - """ - - # Custom reward shaping based on game outcome - if env_reward > 0: # Win - return 3.0 - else: # Loss - return -1.0 -``` - -**Add metrics**: -```python -record_metric("reward/env_reward", env_reward, Reduce.MEAN) -record_metric("reward/final_reward", reward, Reduce.MEAN) -record_metric("reward/invalid_action_rate", 1 if has_invalid_action else 0, Reduce.MEAN) -``` - -**Delete**: `BlackJackReward` actor (main.py:258-302) - ---- - -### Step 4: Get Tokenizer in main() - -**File**: `apps/blackjack/main.py` - -**Add after service initialization** (after line 659): - -```python -# Get tokenizer for rollout loop -from vllm.transformers_utils.tokenizer import get_tokenizer -tokenizer = get_tokenizer(cfg.policy.get("model")) -pad_id = tokenizer.pad_token_id if tokenizer.pad_token_id is not None else tokenizer.eos_token_id -``` - -**Update continuous_rollouts signature**: -```python -async def continuous_rollouts(tokenizer, pad_id): # Add parameters -``` - -**Pass to tasks** (main.py:838-840): -```python -rollout_tasks = [ - asyncio.create_task(continuous_rollouts(tokenizer, pad_id)) - for _ in range(num_rollout_threads) -] -``` - ---- - -### Step 5: Refactor play_game() for Multi-Turn - -**File**: `apps/blackjack/main.py` - -**Replace current play_game()** (main.py:359-557) with: - -```python -async def play_game( - game_idx: int, - game_id: str, - server_url: str, - policy: Generator, - tokenizer, - pad_id: int, - max_seq_len: int = 2048, - max_turns: int = 10, - rollout_count: int = 0, -) -> Episode: - """ - Play a single blackjack game and return ONE episode with all turns. - - Key changes: - - Formats messages each turn (not once at start) - - Tracks episode-level budget (max_seq_len) - - Returns single Episode with concatenated tokens - - Includes response_mask for training - - Returns: - Episode with all turns concatenated - """ - env = OpenSpielEnv(base_url=server_url) - env._http.trust_env = False - - print(f"\n🎮 GAME {game_idx + 1} (Rollout #{rollout_count + 1}) - ID: {game_id}") - - # Initialize message history - messages = [ - {"role": "system", "content": "You are an expert BlackJack player. Analyze the game state and output only 'HIT' or 'STAND'."} - ] - - # Track all tokens and masks across all turns - all_tokens = [] - all_logprobs = [] - response_mask = [] - - # Track for reward calculation and metrics - has_invalid_action = False - is_truncated = False - truncation_reason = None - - try: - result = env.reset() - obs = result.observation - done = False - turn_num = 0 - - while not done and turn_num < max_turns: - # Add user message with current game state - player_total = obs.metadata.get("player_total", "?") - dealer_card = obs.metadata.get("dealer_card", "?") - dealer_str = "Ace" if dealer_card == 1 else str(dealer_card) - - state_desc = f"=== BlackJack Game (Turn {turn_num + 1}) ===\n\n" - state_desc += "Current State:\n" - state_desc += f" Your hand total: {player_total}\n" - state_desc += f" Dealer shows: {dealer_str}\n" - state_desc += f" Legal actions: HIT, STAND\n\n" - state_desc += "What do you do? Output only 'HIT' or 'STAND'." - - messages.append({"role": "user", "content": state_desc}) - - # Format prompt from full message history - prompt_text = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=False - ) - - # Encode to check budget - prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) - - # Check if prompt exceeds budget - if len(prompt_tokens) >= max_seq_len: - is_truncated = True - truncation_reason = "max_seq_len" - record_metric("episode/terminated_budget_exceeded", 1, Reduce.MEAN) - print(f" [TRUNCATED] Prompt length {len(prompt_tokens)} >= {max_seq_len}") - break - - # Calculate remaining budget for this turn - remaining = max_seq_len - len(prompt_tokens) - - # Generate with remaining budget - try: - responses = await asyncio.wait_for( - policy.generate.route([prompt_text], sampling_params={"max_tokens": remaining}), - timeout=60.0 - ) - except asyncio.TimeoutError: - print(f"[ERROR] Policy generation timed out for {game_id} at turn {turn_num}") - raise - - response = responses[0] - - # Check if generation was cut off - if response.stop_reason == "length": - is_truncated = True - truncation_reason = "generation_length" - record_metric("episode/generation_truncated", 1, Reduce.MEAN) - print(f" [TRUNCATED] Generation hit max_tokens={remaining}") - # Continue to parse and execute, but mark episode as truncated - - # Accumulate tokens and build response mask - all_tokens.extend(prompt_tokens) - all_tokens.extend(response.token_ids) - response_mask.extend([0] * len(prompt_tokens)) # Don't train on prompts - response_mask.extend([1] * len(response.token_ids)) # Train on responses - all_logprobs.extend([0.0] * len(prompt_tokens)) - all_logprobs.extend(response.logprobs) - - # Parse action - action_name = parse_action(response.text) - - # Add assistant response to message history - messages.append({"role": "assistant", "content": response.text}) - - - if action_name == "INVALID": - has_invalid_action = True - action_name = "STAND" # Fallback - action_id = 1 - elif action_name == "HIT": - action_id = 0 - elif action_name == "STAND": - action_id = 1 - - # Execute action - result = env.step( - OpenSpielAction(action_id=action_id, game_name="blackjack") - ) - obs = result.observation - done = result.done - - turn_num += 1 - - # Check if hit max_turns - if turn_num >= max_turns and not done: - is_truncated = True - truncation_reason = "max_turns" - record_metric("episode/hit_max_turns", 1, Reduce.MEAN) - - # Get final game outcome - final_game_reward = result.reward - - outcome_text = ( - "WIN" if final_game_reward > 0 - else ("LOSS" if final_game_reward < 0 else "PUSH") - ) - print(f" Result: {outcome_text} (reward={final_game_reward}, turns={turn_num})") - - # Calculate final reward using separate function - reward = calculate_reward( - env_reward=final_game_reward, - ) - - # Metrics - record_metric("reward/env_reward", final_game_reward, Reduce.MEAN) - record_metric("reward/final_reward", reward, Reduce.MEAN) - record_metric("reward/invalid_action_rate", int(has_invalid_action), Reduce.MEAN) - record_metric("game/total_games_played", 1, Reduce.SUM) - record_metric("game/average_game_length_in_turns", turn_num, Reduce.MEAN) - record_metric("game/average_reward", final_game_reward, Reduce.MEAN) - record_metric("game/win_rate", final_game_reward > 0:, Reduce.MEAN) - - # Create episode - episode = Episode( - episode_id=str(uuid.uuid4()), - task_name="blackjack", - generator_version=0, # TODO: Get from policy - is_truncated=is_truncated, - all_token_ids=torch.tensor(all_tokens, dtype=torch.long), - logprobs=torch.tensor(all_logprobs, dtype=torch.float), - response_mask=torch.tensor(response_mask, dtype=torch.float), - reward=reward, - advantage=None, # Computed later - ref_logprobs=None, # Computed later - message_log=messages, - metadata={ - "num_turns": turn_num, - "game_id": game_id, - "env_reward": final_game_reward, - "has_invalid_action": has_invalid_action, - "truncation_reason": truncation_reason, - } - ) - - return episode - - except Exception as e: - print(f"[ERROR] play_game {game_id} failed with {type(e).__name__}: {e}") - import traceback - traceback.print_exc() - raise - finally: - env.close() -``` - -**Key changes**: -- Takes `tokenizer`, `pad_id`, `max_seq_len`, `max_turns` parameters -- Builds messages list and formats each turn -- Tracks episode-level budget -- Returns single Episode with concatenated tokens -- No longer returns list of step_results - ---- - -### Step 6: Update continuous_rollouts() - -**File**: `apps/blackjack/main.py` - -**Replace current continuous_rollouts()** (main.py:714-786) with: - -```python -async def continuous_rollouts(tokenizer, pad_id): - rollout_count = 0 - server_url = cfg.blackjack_env.get("server_url", "http://localhost:8004") - max_seq_len = cfg.blackjack_env.get("max_seq_len", 2048) - max_turns = cfg.blackjack_env.get("max_turns", 10) - - while not shutdown_event.is_set(): - t = Tracer("main_perf/continuous_rollouts") - t.start() - - # Play group_size games, each returns ONE episode - episodes = [] - for game_idx in range(group_size): - game_id = str(uuid.uuid4())[:8] - episode = await play_game( - game_idx=game_idx, - game_id=game_id, - server_url=server_url, - policy=policy, - tokenizer=tokenizer, - pad_id=pad_id, - max_seq_len=max_seq_len, - max_turns=max_turns, - rollout_count=rollout_count, - ) - episodes.append(episode) - - t.step("play_games") - - # Compute reference logprobs for all episodes - max_len = max(len(e.all_token_ids) for e in episodes) - - # Pad episodes to same length for batching - padded_tokens = [] - for episode in episodes: - seq_len = len(episode.all_token_ids) - pad_len = max_len - seq_len - padded = F.pad(episode.all_token_ids, (0, pad_len), value=pad_id) - padded_tokens.append(padded) - - input_ids = torch.stack(padded_tokens) # [batch, max_len] - - # Get reference logprobs - ref_logprobs = await ref_model.forward.route( - input_ids, - 0, # No separate prompt (mask handles it) - return_logprobs=True - ) - t.step("reference_model_calculate_logprobs") - - # Assign ref_logprobs to episodes (unpad) - for i, episode in enumerate(episodes): - seq_len = len(episode.all_token_ids) - episode.ref_logprobs = ref_logprobs[i, :seq_len] # Unpad - - del ref_logprobs, input_ids - - # Compute advantages - advantages = await compute_advantages.compute.call_one(episodes) - for episode, advantage in zip(episodes, advantages): - episode.advantage = advantage - await replay_buffer.add.call_one(episode) - - rollout_count += 1 - record_metric("main/continuous_rollouts/count_rollout_iterations", 1, Reduce.SUM) - t.stop() -``` - -**Key changes**: -- Takes `tokenizer` and `pad_id` parameters -- Gets `max_seq_len` and `max_turns` from config -- Passes new parameters to `play_game()` -- Handles variable-length episodes from `play_game()` - ---- - -### Step 7: Update collate() Function - -**File**: `apps/blackjack/main.py` - -**Replace current collate()** (main.py:131-166) with: - -```python -def collate( - batches: list[Group], -) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: - """ - Collates episodes into batches with dynamic padding. - - Each episode has variable length (different number of turns). - """ - inputs = [] - targets = [] - - for batch in batches: - # Find max length in this batch - max_len = max(len(e.all_token_ids) for e in batch) - pad_id = 0 # Will be set via F.pad value parameter - - all_token_ids = [] - logprobs_list = [] - ref_logprobs_list = [] - advantages_list = [] - masks = [] - - for e in batch: - seq_len = len(e.all_token_ids) - pad_len = max_len - seq_len - - # Right-pad tokens - padded_tokens = F.pad(e.all_token_ids, (0, pad_len), value=pad_id) - all_token_ids.append(padded_tokens) - - # Right-pad response_mask (0 for padding) - padded_mask = F.pad(e.response_mask, (0, pad_len), value=0) - masks.append(padded_mask) - - # Pad logprobs - padded_logprobs = F.pad(e.logprobs, (0, pad_len), value=0) - logprobs_list.append(padded_logprobs) - - # Pad ref_logprobs - padded_ref = F.pad(e.ref_logprobs, (0, pad_len), value=0) - ref_logprobs_list.append(padded_ref) - - advantages_list.append(e.advantage) - - input = {"tokens": torch.stack(all_token_ids)} - target = { - "response": torch.stack(all_token_ids), # Full sequence - "ref_logprobs": torch.stack(ref_logprobs_list), - "advantages": torch.tensor(advantages_list).unsqueeze(-1), - "padding_mask": torch.stack(masks), # Combined response + padding mask - } - - inputs.append(input) - targets.append(target) - - return inputs, targets -``` - -**Key changes**: -- Dynamic padding based on max episode length in batch -- Uses `response_mask` instead of computing mask from pad_id -- Works with variable-length episodes - ---- - -### Step 8: Update main() Service Initialization - -**File**: `apps/blackjack/main.py` - -**Remove `reward_actor` from service initialization** (main.py:640-654): - -```python -# DELETE this from asyncio.gather: -# BlackJackReward.options(**cfg.services.reward_actor).as_service(), - -# BEFORE: -( - env_actor, - policy, - trainer, - replay_buffer, - compute_advantages, - ref_model, - reward_actor, # DELETE THIS -) = await asyncio.gather(...) - -# AFTER: -( - env_actor, - policy, - trainer, - replay_buffer, - compute_advantages, - ref_model, -) = await asyncio.gather( - EnvironmentActor.options(**cfg.actors.blackjack_env).as_actor(**env_actor_config), - Policy.options(**cfg.services.policy).as_service(**cfg.policy), - TitanTrainer.options(**cfg.actors.trainer).as_actor(**cfg.trainer, loss=simple_grpo_loss), - ReplayBuffer.options(**cfg.actors.replay_buffer).as_actor(**cfg.replay_buffer, collate=collate), - ComputeAdvantages.options(**cfg.actors.compute_advantages).as_actor(), - ReferenceModel.options(**cfg.services.ref_model).as_service(**cfg.ref_model), -) -``` - ---- - -### Step 9: Add Config Parameters - -**File**: `apps/blackjack/qwen3_1_7b.yaml` (or similar config file) - -**Add to `blackjack_env` section**: - -```yaml -blackjack_env: - server_url: "http://localhost:8004" - server_port: 8004 - game_name: "blackjack" - model: "Qwen/Qwen3-1.7B" - max_seq_len: 2048 # Episode-level budget (all turns) - max_turns: 10 # Hard limit on turns - -policy: - engine_args: - enable_prefix_caching: true # Critical for multi-turn (2-3x speedup) - # max_model_len defaults to model's context length -``` - ---- - -### Step 10: Remove Old Code - -**File**: `apps/blackjack/main.py` - -**Delete**: -1. Old `Episode` class (lines 80-122) -2. `BlackJackReward` actor (lines 258-302) -3. `format_prompt()` function (lines 189-242) - replaced by inline message building -4. `EnvironmentActor` class (lines 316-340) - no longer needed - -**Add import**: -```python -from apps.blackjack.episode import Episode, Group -``` - ---- - -## Benefits of This Refactor - -1. **Fixes fundamental learning problem**: Model gets single reward for entire action sequence -2. **Multi-turn ready**: Same structure works for tool calling later -3. **Proper masking**: `response_mask` prevents training on prompts (critical for tool calling) -4. **Budget tracking**: Episode-level `max_seq_len` prevents OOM -5. **Simpler code**: No `BlackJackReward` actor, reward calculated inline -6. **Variable length**: Collate handles different game lengths dynamically -7. **Message format**: Ready for tool calling with structured messages -8. **Aligned with docs**: Follows patterns from `1_message_format_for_tool_calling.md`, `2_episode_class.md`, `3_truncation.md` - ---- - -## Open Questions & TODOs - -### 1. Generator Version Tracking - -**Question**: How to get current policy version from Generator? - -**Current**: Hardcoded to 0 -```python -generator_version=0 # TODO: Get from policy -``` - -**Need to investigate**: Does Generator actor expose a `.version` property? Or do we track it in main loop? - ---- - -### 2. Reward Scaling - -**Question**: What's the right balance between env reward and custom shaping? - -**Current plan**: -```python -Win=3, Push=1, Loss=-1, Invalid=-1 -``` - -**Alternative**: Use pure env reward -```python -Win=1, Push=0, Loss=-1, Invalid=-1 -``` - -**Recommendation**: Start with custom scaling, monitor metrics, adjust once model learns basic strategy. - ---- - -### 3. Dataset Integration (Future) - -**From `1_message_format_for_tool_calling.md`:** - -For blackjack, we don't have a traditional "dataset" - each game generates fresh data. But the pattern is: -- Dataset should return `{"messages": [...], "target": ..., "task_name": "blackjack"}` -- For blackjack: `messages = [{"role": "system", "content": "..."}]` -- This is currently inline in `play_game()`, could be extracted to a dataset-like function - -**TODO**: Investigate how other frameworks structure dataset output schema (TypedDict, dataclass, etc.) - ---- - -### 4. Truncated Episode Handling - -**From `3_truncation.md`:** - -Should we drop truncated episodes from training? - -**Config option**: -```yaml -grpo: - include_truncated_in_buffer: false # Drop incomplete episodes -``` - -**Need to implement** in `continuous_rollouts()`: -```python -if not episode.is_truncated or cfg.grpo.get("include_truncated_in_buffer", True): - await replay_buffer.add.call_one(episode) -else: - record_metric("replay_buffer/episodes_dropped_truncated", 1, Reduce.SUM) -``` - ---- - -### 5. Prefix Caching Verification - -**From `3_truncation.md`:** - -Enable prefix caching for 2-3x speedup on multi-turn prompts. - -**Config**: -```yaml -policy: - engine_args: - enable_prefix_caching: true -``` - -**TODO**: Verify this is enabled and measure speedup in metrics. - ---- - -## Migration Checklist - -- [ ] Create `apps/blackjack/episode.py` with new Episode class -- [ ] Update `parse_action()` to return "HIT", "STAND", "INVALID" -- [ ] Add `calculate_reward()` function -- [ ] Delete `BlackJackReward` actor -- [ ] Get tokenizer in `main()` and pass to rollout loop -- [ ] Refactor `play_game()` to return single Episode -- [ ] Update `continuous_rollouts()` to handle new signature -- [ ] Update `collate()` for variable-length episodes -- [ ] Remove `reward_actor` from service initialization -- [ ] Add `max_seq_len`, `max_turns` to config -- [ ] Enable `prefix_caching` in policy config -- [ ] Delete old Episode class from main.py -- [ ] Delete `format_prompt()` function -- [ ] Delete `EnvironmentActor` class -- [ ] Test with single game -- [ ] Test with group_size > 1 -- [ ] Monitor new metrics (truncation_reason, episode length, etc.) -- [ ] Verify model training improves with multi-turn structure - ---- - -**End of Plan** diff --git a/apps/blackjack/README.md b/apps/blackjack/README.md deleted file mode 100644 index f1457c1c4..000000000 --- a/apps/blackjack/README.md +++ /dev/null @@ -1,300 +0,0 @@ -# Blackjack GRPO Training - -## Overview - -This project implements GRPO (Group Relative Policy Optimization) training for teaching an LLM to play Blackjack using the OpenSpiel environment from OpenEnv. - -**Key Achievement**: Successfully adapted the single-turn GSM8K GRPO example to work with multi-step game-based RL, where each game produces multiple episodes with shared final rewards. - ---- - -## Quick Start - -```bash -# Run training -python -m apps.blackjack.main --config apps/blackjack/qwen3_1_7b.yaml -``` - ---- - -## Required OpenEnv Fixes - -⚠️ **IMPORTANT**: The following fixes must be applied to `/home/felipemello/OpenEnv` for the blackjack training to work correctly. - -### Fix 1: HTTP Server Metadata Stripping - -**Problem**: The HTTP server was explicitly removing the `metadata` field before sending observations to clients, causing game state information to be lost. - -**File**: `/home/felipemello/OpenEnv/src/core/env_server/http_server.py` - -**Line to Remove**: Line 153 (approximately) -```python -obs_dict.pop("metadata", None) # Remove metadata from observation ← DELETE THIS LINE -``` - -**Why**: The client expects metadata to contain game state info like `player_total` and `dealer_card`. Without this fix, all metadata arrives as an empty dict `{}`. - ---- - -### Fix 2: Dealer Card Value Conversion - -**Problem**: OpenSpiel's `dealers_visible_card()` returns a card index (0-51) representing which physical card in the deck, not the blackjack value (1-10). - -**File**: `/home/felipemello/OpenEnv/src/envs/openspiel_env/server/openspiel_environment.py` - -**Location**: Lines 255-276 (approximately, in the observation creation section) - -**Replace**: -```python -# Extract game-specific metadata for blackjack -metadata = {} -if self.game_name == "blackjack": - state = self._ospiel_env.get_state - if hasattr(state, "get_best_player_total"): - player_total = state.get_best_player_total(self.agent_player) - metadata["player_total"] = player_total - if hasattr(state, "dealers_visible_card"): - dealer_card = state.dealers_visible_card() - metadata["dealer_card"] = dealer_card # ❌ This is 0-51, not 1-10! -``` - -**With**: -```python -# Extract game-specific metadata for blackjack -metadata = {} -if self.game_name == "blackjack": - # Get underlying OpenSpiel state to access blackjack-specific methods - state = self._ospiel_env.get_state # Property, not method! - if hasattr(state, "get_best_player_total"): - player_total = state.get_best_player_total(self.agent_player) - metadata["player_total"] = player_total - if hasattr(state, "dealers_visible_card"): - dealer_card_idx = state.dealers_visible_card() - # Convert card index (0-51) to blackjack value (1-10) - # This matches the C++ CardValue() logic in blackjack.cc - # Cards are indexed from 0 to kDeckSize-1 (52 cards total) - # Rank = card_idx % 13, where 0=Ace, 1-9=2-10, 10=J, 11=Q, 12=K - rank = dealer_card_idx % 13 - if rank == 0: - dealer_value = 1 # Ace - elif rank <= 9: - dealer_value = rank + 1 # 2-10 - else: - dealer_value = 10 # Jack, Queen, King - metadata["dealer_card"] = dealer_value -``` - -**Why**: The conversion logic mirrors OpenSpiel's C++ `CardValue()` method which isn't exposed to Python bindings. Without this, you'd see invalid dealer cards like 50, 37, etc. instead of 1-10. - ---- - -## Testing the Fixes - -Use `/home/felipemello/forge/dummy.py` to verify: - -```python -# Test direct environment (bypasses HTTP) -from envs.openspiel_env.server.openspiel_environment import OpenSpielEnvironment -env = OpenSpielEnvironment(game_name="blackjack", agent_player=0, opponent_policy="random") -obs = env.reset() -print(obs.metadata) -# Expected: {'player_total': , 'dealer_card': <1-10>} - -# Test HTTP client (requires server running) -from envs.openspiel_env import OpenSpielEnv -env = OpenSpielEnv(base_url="http://localhost:9000") -env._http.trust_env = False # Bypass proxy -obs = env.reset().observation -print(obs.metadata) -# Expected: Same as above if fixes are applied -``` - ---- - -## Architecture - -### Episode Structure - -Each blackjack game produces multiple episodes (one per player action): - -```python -@dataclass -class Episode: - episode_id: str # Unique ID for this step - game_id: str # Which game this belongs to - step_in_game: int # Step number within the game - completion: Completion # Model's response - reward: float # Final game outcome (shared across all steps) - advantage: float # Normalized advantage - # ... other fields -``` - -### Game Flow - -1. **Start game**: Reset OpenSpiel environment -2. **Each step**: - - Format prompt with current state (player total, dealer card, action history) - - Generate action from policy ("HIT" or "STAND") - - Execute action in environment - - Store step data -3. **Game ends**: Assign final reward to ALL steps in the game -4. **Create episodes**: One episode per step, all sharing the final game reward - -### Prompt Format - -``` -=== BlackJack Game (Step 1) === - -Current State: - Your hand total: 15 - Dealer shows: 10 - Legal actions: HIT, STAND - -What do you do? (Output only 'HIT' or 'STAND') -``` - -For subsequent steps, action history is included: -``` -Previous actions: - 1. HIT (hand became 18) - 2. HIT (hand became 23) -``` - -This allows the model to track card counting and learn from its action sequence. - ---- - -## Metrics Explanation - -### Game Outcome Metrics -- **`game/total_games_played`**: Total number of games completed -- **`game/count_wins`**: Games where player won (+1 reward) -- **`game/count_losses`**: Games where player lost (-1 reward) -- **`game/count_pushes`**: Games that tied (0 reward) - -### Win Rate & Performance -- **`game/win_rate`**: Percentage of games won (0.0 to 1.0, where 1.0 = 100%) - - Example: 0.227 = 22.7% win rate -- **`game/average_reward`**: Mean reward across games (-1.0 to +1.0) - - Can be negative if more losses than wins - - Example: -0.454 means losing more than winning - -### Game Behavior -- **`game/average_game_length_in_steps`**: How many actions per game - - Low value (e.g., 1.09) suggests model stands too early -- **`game/bust_rate`**: Percentage of games where player busted (>21) - - Example: 0.227 = 22.7% bust rate - -### Hand Analysis -- **`game/average_player_final_hand`**: Average hand total at game end -- **`game/average_dealer_upcard`**: Average dealer visible card (1-10) -- **`game/average_winning_hand_total`**: Average hand when winning -- **`game/average_losing_hand_total`**: Average hand when losing - -**Strategy Insight**: If `average_winning_hand_total` is much lower than `average_losing_hand_total`, the model may be standing too early on good hands and hitting too much on bad hands. - ---- - -## Key Code Locations - -### Main Training Script -**File**: `/home/felipemello/forge/apps/blackjack/main.py` - -- **`format_prompt()`** (line ~202): Creates text prompts from game state -- **`parse_action()`** (line ~257): Parses "HIT"/"STAND" from model output -- **`play_game()`** (line ~365): Plays one complete blackjack game -- **`continuous_rollouts()`** (line ~694): Manages rollout loop -- **`continuous_training()`** (line ~770): Manages training loop - -### Helper Actors -- **`BlackJackReward`** (line ~277): Evaluates game outcomes with reward shaping -- **`ComputeAdvantages`** (line ~310): Normalizes rewards to advantages -- **`EnvironmentActor`** (line ~323): Manages tokenizer and server connection - -### Configuration -**File**: `/home/felipemello/forge/apps/blackjack/qwen3_1_7b.yaml` - -Key settings: -- `group_size`: Number of games per rollout (default: 4) -- `max_req_tokens`: Max prompt length (default: 512) -- `max_res_tokens`: Max response length (default: 256) -- `server_url`: OpenSpiel server URL (default: http://localhost:8004) -- `server_port`: Port for OpenSpiel server (default: 8004) - ---- - -## Implementation Notes - -### Differences from GSM8K Example - -1. **Multi-step games**: GSM8K is single prompt→response. Blackjack requires playing full games with multiple steps. - -2. **Shared rewards**: All steps in a game get the same final reward (win/loss/push). - -3. **No dataset**: Instead of sampling from a dataset, we generate games on-the-fly. - -4. **Action parsing**: Model outputs are parsed to extract "HIT" or "STAND" decisions. - -5. **Game state tracking**: Prompts include current hand, dealer card, and action history. - -### Reward Shaping - -**File**: `BlackJackReward.evaluate_response()` (line ~278) - -```python -if game_reward > 0: - reward = 2.0 # Make wins more valuable -elif game_reward == 0: - reward = 0.5 # Pushes better than losses -else: - reward = -1.0 # Losses -``` - -This encourages the model to prefer ties over losses and strongly value wins. - -### Server Management - -The script automatically: -1. Kills any process using the server port -2. Starts OpenSpiel server in background process -3. Waits for health check (up to 30 seconds) -4. Bypasses corporate proxy for localhost connections -5. Gracefully shuts down server on exit - ---- - -## Common Issues - -### "Connection refused" on localhost -- **Cause**: Server hasn't started yet -- **Fix**: Wait for "✓ OpenSpiel server ready" message - -### Prompts show `?` for game state -- **Cause**: Missing OpenEnv fixes (see above) -- **Fix**: Apply both required fixes and restart server - -### Invalid dealer cards (e.g., 50, 37) -- **Cause**: Missing card value conversion fix -- **Fix**: Apply Fix 2 above - -### Empty metadata `{}` -- **Cause**: HTTP server stripping metadata -- **Fix**: Apply Fix 1 above - ---- - -## Future Improvements - -1. **Better prompting**: Include basic strategy hints or card counting info -2. **Curriculum learning**: Start with simpler scenarios, gradually increase difficulty -3. **Multi-hand tracking**: Support splitting and doubling down -4. **Opponent modeling**: Learn dealer behavior patterns -5. **Reward shaping**: Experiment with intermediate rewards for good decisions - ---- - -## Reference - -- **OpenSpiel Blackjack Source**: [blackjack.cc](https://github.com/google-deepmind/open_spiel/blob/master/open_spiel/games/blackjack/blackjack.cc) -- **OpenEnv Repository**: `/home/felipemello/OpenEnv` -- **Original GSM8K Example**: `/home/felipemello/forge/apps/gsm8k/` diff --git a/apps/blackjack/blackjack_env.py b/apps/blackjack/blackjack_env.py new file mode 100644 index 000000000..ab1205634 --- /dev/null +++ b/apps/blackjack/blackjack_env.py @@ -0,0 +1,182 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +import re +from dataclasses import dataclass, field +from typing import Any + +from envs.openspiel_env import OpenSpielAction, OpenSpielEnv +from forge.observability.metrics import record_metric, Reduce + + +@dataclass +class EnvStepResult: + """Result from environment step.""" + + observation: dict[str, str] # Next message: {"role": "user", "content": "..."} + reward: float # Reward for this step + done: bool # Episode ended? + metadata: dict[str, Any] = field(default_factory=dict) + + +class BlackjackEnv: + """ + Minimal blackjack environment. + + Responsibilities: + - Manage game state via OpenSpielEnv + - Parse actions from text + - Return next observation message + - Compute rewards + + Does NOT: + - Hold message history (rollout loop does this) + - Tokenize (rollout loop does this) + - Track cumulative tokens (rollout loop does this) + """ + + def __init__(self, server_url: str): + self.server_url = server_url + self.client = OpenSpielEnv(base_url=server_url) + self.client._http.trust_env = False + + # Game state + self.turn_count = 0 + self.has_invalid_action = False + + def reset(self) -> str: + """ + Reset game and return initial user message. + + Returns: + Initial observation text (NOT a dict, just the content string) + """ + self.turn_count = 0 + self.has_invalid_action = False + + # Reset game + result = self.client.reset() + + # Build initial observation + return self._format_observation(result.observation) + + def step(self, action_text: str) -> EnvStepResult: + """ + Execute action and return next observation. + + Args: + action_text: The assistant's text response + + Returns: + EnvStepResult with next observation message, reward, done + """ + + # Parse action + action_name, error_type = self._parse_action(action_text) + + # Track invalid actions + is_invalid = action_name == "INVALID" + if is_invalid: + self.has_invalid_action = True + action_name = "STAND" # Treat invalid as STAND + record_metric("game/invalid_action_rate", 1, Reduce.MEAN) + if error_type == "NO_TAGS": + record_metric("game/missing_answer_tags", 1, Reduce.SUM) + elif error_type == "INVALID_CONTENT": + record_metric("game/invalid_answer_content", 1, Reduce.SUM) + else: + record_metric("game/invalid_action_rate", 0, Reduce.MEAN) + + # Execute in game + action_id = 0 if action_name == "HIT" else 1 + result = self.client.step( + OpenSpielAction(action_id=action_id, game_name="blackjack") + ) + + self.turn_count += 1 + + # Compute reward + if result.done: + reward = self._compute_reward( + result.reward, is_invalid=self.has_invalid_action + ) + # Record game outcome metrics + record_metric("game/games_played", 1, Reduce.SUM) + record_metric("game/average_turns", self.turn_count, Reduce.MEAN) + record_metric("game/win_rate", 1 if result.reward > 0 else 0, Reduce.MEAN) + record_metric("game/env_reward", result.reward, Reduce.MEAN) + else: + reward = 0.0 # No intermediate rewards + + # Build next observation (if game continues) + if result.done: + observation = {"role": "user", "content": ""} # Empty, game ended + else: + obs_text = self._format_observation(result.observation) + observation = {"role": "user", "content": obs_text} + + return EnvStepResult( + observation=observation, + reward=reward, + done=result.done, + metadata={ + "turn_count": self.turn_count, + "has_invalid_action": self.has_invalid_action, + "env_reward": result.reward if result.done else 0.0, + }, + ) + + def _format_observation(self, observation) -> str: + """Format game observation into text.""" + player_total = observation.metadata.get("player_total", "?") + dealer_card = observation.metadata.get("dealer_card", "?") + dealer_str = "Ace" if dealer_card == 1 else str(dealer_card) + + return f"Hand: {player_total}, Dealer: {dealer_str}" + + def _parse_action(self, text: str) -> tuple[str, str]: + """Parse action from assistant text using tags. + + Returns: + (action, error_type): action is "HIT", "STAND", or "INVALID" + error_type is "" for valid, "NO_TAGS" or "INVALID_CONTENT" + """ + import re + + # Try to extract content from tags + match = re.search( + r"\s*(.*?)\s*", text, re.IGNORECASE | re.DOTALL + ) + + if match: + answer = match.group(1).strip().upper() + if answer == "HIT": + return ("HIT", "") + elif answer == "STAND": + return ("STAND", "") + else: + # Has tags but invalid content + return ("INVALID", "INVALID_CONTENT") + else: + # No tags found + return ("INVALID", "NO_TAGS") + + def _compute_reward(self, env_reward: float, is_invalid: bool) -> float: + """Compute final reward.""" + if env_reward > 0: # Win + rwd = 3.0 + else: # Loss or push + rwd = -1.0 + + if is_invalid: + rwd = -10.0 # Penalty for not ending with HIT/STAND + record_metric("game/invalid_action_penalty", 1, Reduce.SUM) + + return rwd + + def close(self): + """Clean up.""" + self.client.close() diff --git a/apps/blackjack/main.py b/apps/blackjack/main.py index d911d7b91..179d8df42 100644 --- a/apps/blackjack/main.py +++ b/apps/blackjack/main.py @@ -4,7 +4,7 @@ # This source code is licensed under the BSD-style license found in the # LICENSE file in the root directory of this source tree. -# Usage: python -m apps.blackjack.main --config apps/blackjack/qwen3_1_7b.yaml +# Usage: python -m apps.blackjack.main_v2 --config apps/blackjack/qwen3_1_7b.yaml import asyncio import multiprocessing @@ -13,13 +13,24 @@ import subprocess import time import uuid -from dataclasses import dataclass -from typing import Any, Callable +from dataclasses import dataclass, field +from enum import Enum +from functools import lru_cache, partial +from typing import Any, Optional import requests + import torch import torch.nn.functional as F import torchstore as ts + +from apps.blackjack.blackjack_env import BlackjackEnv, EnvStepResult +from apps.blackjack.token_accumulator import ( + EpisodeData, + TokenAccumulator, + TruncationReason, + ValidationMode, +) from envs.openspiel_env import OpenSpielAction, OpenSpielEnv from forge.actors._torchstore_utils import ( get_dcp_whole_state_dict_key, @@ -31,18 +42,23 @@ from forge.actors.trainer import TitanTrainer from forge.controller.actor import ForgeActor from forge.controller.provisioner import init_provisioner, shutdown -from forge.data_models.completion import Completion +from forge.data.common import CROSS_ENTROPY_IGNORE_IDX from forge.observability.metric_actors import get_or_create_metric_logger from forge.observability.metrics import record_metric, Reduce from forge.observability.perf_tracker import Tracer - from forge.types import LauncherConfig, ProvisionerConfig from forge.util.config import parse -from forge.util.ops import compute_logprobs +from forge.util.ops import compute_logprobs, create_shifted_targets from monarch.actor import endpoint from omegaconf import DictConfig +from vllm import SamplingParams from vllm.transformers_utils.tokenizer import get_tokenizer +# ============================================================================ +# Server Management Functions for OpenSpiel / OpenEnv +# TODO: Written by claude, probably very messy +# ============================================================================ + def start_openspiel_server(game_name: str, port: int): """Start OpenSpiel server in background process.""" @@ -52,12 +68,11 @@ def start_openspiel_server(game_name: str, port: int): from envs.openspiel_env.server.app import app print(f"[SERVER] Starting uvicorn for game '{game_name}' on port {port}") - uvicorn.run(app, host="0.0.0.0", port=port, log_level="info") + uvicorn.run(app, host="0.0.0.0", port=port, log_level="info", access_log=False) def kill_process_on_port(port: int): """Kill any process using the specified port.""" - # Find process using the port result = subprocess.run( ["lsof", "-ti", f":{port}"], capture_output=True, @@ -69,243 +84,344 @@ def kill_process_on_port(port: int): for pid in pids: try: os.kill(int(pid), signal.SIGKILL) - print(f"[DEBUG] Killed existing process {pid} on port {port}") except ProcessLookupError: - pass # Process already dead - time.sleep(0.5) # Give OS time to release port - return True + pass + time.sleep(0.5) + + +def _wait_for_server_health(port: int, timeout: int = 30) -> bool: + """Wait for server health check to pass.""" + for attempt in range(timeout): + try: + resp = requests.get( + f"http://localhost:{port}/health", + timeout=1, + proxies={"http": None, "https": None}, + ) + if resp.status_code == 200: + return True + except Exception: + pass + time.sleep(1) return False -@dataclass -class Episode: - episode_id: str - pad_id: int - request_len: int - response_len: int - target: Any | None = None - # Processed data - completion: Completion | None = None - ref_logprobs: torch.Tensor | None = None - reward: float | None = None - advantage: float | None = None +def start_servers( + num_servers: int, base_port: int, game_name: str +) -> tuple[list, list]: + """Start OpenSpiel servers and wait for them to be ready. - @property - def policy_version(self) -> int | None: - return self.completion.generator_version - - @property - def request_tensor(self) -> torch.Tensor: - request_tokens: torch.Tensor = self.completion.prompt_ids - # Use clone() instead of torch.tensor() to avoid UserWarning - if isinstance(request_tokens, torch.Tensor): - tensor = request_tokens.clone().detach() - else: - tensor = torch.tensor(request_tokens, dtype=torch.long) - if tensor.shape[0] < self.request_len: # left pad - diff = self.request_len - tensor.shape[0] - tensor = F.pad(tensor, (diff, 0), value=self.pad_id) - return tensor - - @property - def response_tensor(self) -> torch.Tensor: - response_tokens: torch.Tensor = self.completion.token_ids - # Use clone() instead of torch.tensor() to avoid UserWarning - if isinstance(response_tokens, torch.Tensor): - tensor = response_tokens.clone().detach() - else: - tensor = torch.tensor(response_tokens, dtype=torch.long) - if tensor.shape[0] < self.response_len: # right pad - diff = self.response_len - tensor.shape[0] - tensor = F.pad(tensor, (0, diff), value=self.pad_id) - return tensor - - -# Represents the group (G) of episodes in GRPO -Group = list[Episode] - -# Represents the Policy Model to collect data from -Policy = Generator + Args: + num_servers: Number of servers to start + base_port: Base port (will use base_port, base_port+1, ...) + game_name: Name of the game (e.g., "blackjack") + Returns: + (server_processes, server_ports) -def collate( - batches: list[Group], -) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: + Raises: + RuntimeError: If any server fails to start """ - Collates a list of batches into a single batch of inputs and targets. - Each batch is a list of episodes, and each episode is a dict of tensors. + server_processes = [] + server_ports = [] + + # Start all servers + for i in range(num_servers): + port = base_port + i + server_ports.append(port) + + kill_process_on_port(port) # Clean up existing + + proc = multiprocessing.Process( + target=start_openspiel_server, args=(game_name, port) + ) + proc.start() + server_processes.append(proc) + + # Wait for health checks + time.sleep(1) # Give servers time to start + for i, port in enumerate(server_ports): + if not _wait_for_server_health(port, timeout=30): + # Cleanup and fail + for proc in server_processes: + proc.terminate() + raise RuntimeError(f"Server on port {port} failed to start") + + print(f"✓ Started {num_servers} OpenSpiel server(s)") + return server_processes, server_ports + + +def shutdown_servers(server_processes: list): + """Shutdown all OpenSpiel servers gracefully.""" + for proc in server_processes: + proc.terminate() + proc.join(timeout=2) + if proc.is_alive(): + proc.kill() + proc.join(timeout=1) + + +# ============================================================================ +# debugging +# ============================================================================ + + +def print_episode_debug(episode, tokenizer, rollout_count: int): + """Print detailed episode debug info using TokenAccumulator's visualization. + + Creates a temporary TokenAccumulator and populates it with episode data + to reuse the colorized token stream display. """ - inputs = [] - targets = [] - for batch in batches: - request = [e.request_tensor for e in batch] - request = torch.stack(request) # [b x s] + print(f"\n[ROLLOUT {rollout_count}] Episode Debug") + print( + f"Reward: {episode.reward:.2f}, Tokens: {len(episode.all_token_ids)}, " + f"Trainable: {episode.response_mask.sum().item()}, Truncated: {episode.is_truncated}" + ) - response = [e.response_tensor for e in batch] - response = torch.stack(response) # [b x s] + # Create a minimal TokenAccumulator just for visualization + # We need to provide the required init params, but we'll override internals + dummy_messages = [{"role": "system", "content": ""}] + acc = TokenAccumulator( + tokenizer=tokenizer, + messages=dummy_messages, + max_len=len(episode.all_token_ids), + eos_id=tokenizer.eos_token_id, + thinking=False, + validation=ValidationMode.OFF, + ) - ref_logprobs = [e.ref_logprobs for e in batch] - ref_logprobs = torch.stack(ref_logprobs).squeeze() # [b x s] + # Replace internal state with episode data + acc._tokens = episode.all_token_ids.tolist() + acc._mask = episode.response_mask.tolist() + acc._logprobs = [0.0] * len(episode.all_token_ids) # Dummy logprobs + acc.messages = episode.message_log if episode.message_log else [] - advantages = [e.advantage for e in batch] - advantages = torch.tensor(advantages).unsqueeze(-1) # [b x 1] + # Use TokenAccumulator's existing show_messages method + acc.show_messages(max_chars=2000) - pad_id = batch[0].pad_id - mask = response != pad_id - input = {"tokens": torch.cat([request, response], dim=1)} - target = { - "response": response, - "ref_logprobs": ref_logprobs, - "advantages": advantages, - "padding_mask": mask, - } - inputs.append(input) - targets.append(target) - return inputs, targets +# ============================================================================ +# Episode +# ============================================================================ -# Note: This is also available in losses.grpo_loss via `SimpleGRPOLoss` -def simple_grpo_loss( - logits: torch.Tensor, - response: torch.Tensor, - ref_logprobs: torch.Tensor, - advantages: torch.Tensor, - padding_mask: torch.Tensor, - beta: float = 0.1, -) -> torch.Tensor: - logprobs: torch.Tensor = compute_logprobs(logits, response) - kl = torch.exp(ref_logprobs - logprobs) - (ref_logprobs - logprobs) - 1 - per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages - per_token_loss = -(per_token_policy_loss - beta * kl) - loss = ( - ((per_token_loss * padding_mask).sum(dim=1)) - / (padding_mask.sum(dim=1).clamp(min=1.0)) - ).mean() - return loss +@dataclass +class Episode: + """Episode data for GRPO training (new structure).""" + + episode_id: str + all_token_ids: torch.Tensor # [seq_len] + response_mask: torch.Tensor # [seq_len] + loss_mask: torch.Tensor # [seq_len] + reward: float + + task_name: str = "blackjack" + policy_version: int = 0 + is_truncated: bool = False + advantage: float | None = None + logprobs: torch.Tensor | None = None # [seq_len] + ref_logprobs: torch.Tensor | None = None # [seq_len] + metadata: dict[str, Any] = field(default_factory=dict) + message_log: list[dict[str, str]] | None = None + + +# ============================================================================ +# Rollout Functions (from v5) +# ============================================================================ -# Blackjack-specific helper functions -def format_prompt(step_num: int, action_history: list, obs, tokenizer) -> str: +async def do_single_rollout( + env: BlackjackEnv, + policy, + tokenizer, + max_seq_len: int, + max_turns: int, + messages: list[dict], + game_id: str | None = None, +) -> Episode: """ - Format game state as text prompt for LLM with full game information. + Play one game and return one Episode. + + Uses TokenAccumulator for efficient multi-turn token management with BASE anchor pattern. Args: - step_num: Current step number - action_history: List of (action_name, player_total_after) tuples - obs: OpenSpiel observation with metadata - tokenizer: Tokenizer for chat template + env: BlackjackEnv instance + policy: Policy for generation + tokenizer: Tokenizer with apply_chat_template + max_seq_len: Maximum tokens for full conversation + max_turns: Maximum game turns + messages: Initial messages (e.g., [{"role": "system", "content": "..."}]) + game_id: Optional game ID Returns: - Formatted prompt string with game state + Episode with accumulated tokens, masks, and logprobs """ - system = """You are an expert BlackJack player. Analyze the game state and output only 'HIT' or 'STAND'.""" - # Get game state from metadata (populated by OpenEnv server) - player_total = obs.metadata.get("player_total", "?") - dealer_card = obs.metadata.get("dealer_card", "?") + if game_id is None: + game_id = str(uuid.uuid4()) + + # Initialize TokenAccumulator with BASE anchor pattern + accumulator = TokenAccumulator( + tokenizer=tokenizer, + messages=messages, + max_len=max_seq_len, + eos_id=tokenizer.eos_token_id, + validation=ValidationMode.OFF, + thinking=False, + ) + + try: + # ============ Reset environment ============ + initial_obs = env.reset() + accumulator.add_user(initial_obs) - state_desc = f"=== BlackJack Game (Step {step_num + 1}) ===\n\n" + # ============ Multi-turn loop ============ + final_reward = 0.0 + turn_num = 0 + game_done = False + policy_version = 0 - # Add game state information - state_desc += "Current State:\n" - state_desc += f" Your hand total: {player_total}\n" + while not game_done and turn_num < max_turns: + remaining_budget = accumulator.budget - # Format dealer card - just show the value (Ace or 2-10) - if dealer_card == 1: - dealer_str = "Ace" - elif dealer_card != "?": - dealer_str = str(dealer_card) - else: - dealer_str = "?" - state_desc += f" Dealer shows: {dealer_str}\n" - state_desc += f" Legal actions: {', '.join('HIT' if a == 0 else 'STAND' for a in obs.legal_actions)}\n" - state_desc += "\n" - - # Add action history with hand totals for card counting - if action_history: - state_desc += "Previous actions:\n" - for i, (action_name, hand_total) in enumerate(action_history): - state_desc += f" {i + 1}. {action_name} (hand became {hand_total})\n" - state_desc += "\n" - - state_desc += "What do you do? Output only 'HIT' or 'STAND'. You have a small limit for thinking tokens, so avoid thinking for long." - - chat = [ - {"role": "system", "content": system}, - {"role": "user", "content": state_desc}, - ] + if remaining_budget <= 0: + break - return tokenizer.apply_chat_template( - chat, tokenize=False, add_generation_prompt=True - ) + # ============ Generate ============ + prompt = accumulator.format_prompt() + sampling_params = SamplingParams(max_tokens=remaining_budget) + responses = await policy.generate.route( + prompt, sampling_params=sampling_params + ) + response = responses[0] + policy_version = response.generator_version -def parse_action(response_text: str, legal_actions: list[int]) -> int: - """Parse action from model's text response.""" - text_lower = response_text.lower() + # ============ Add assistant response ============ + response_logprobs = response.logprobs + response_text = response.text + response_token_ids_list = list(response.token_ids) - if text_lower.endswith("hit"): - action_id = 0 - elif text_lower.endswith("stand"): - action_id = 1 - else: - action_id = 2 + # success means not truncated. We drop the entire response if truncated. + success = accumulator.add_assistant( + text=response_text, + token_ids=response_token_ids_list, + logprobs=response_logprobs, + ) - return action_id + # If generation truncated, break + if not success: + break + # ============ Step environment ============ + result = env.step(action_text=response.text) + final_reward = result.reward + game_done = result.done + turn_num += 1 -@dataclass -class BlackJackReward(ForgeActor): - """Reward actor for evaluating game outcomes.""" + # ============ Add environment observation ============ + if not result.done: + obs_text = result.observation["content"] + success = accumulator.add_user(obs_text) - @endpoint - async def evaluate_response( - self, prompt: str, response: str, game_reward: float - ) -> float: - """ - Evaluate episode reward with improved shaping. + # If env obs would exceed budget, break + if not success: + break - Args: - prompt: Game state prompt - response: Model's action - game_reward: Raw game outcome (+1/-1/0) + # ============ Get episode data ============ + episode_data = accumulator.get_data() - Returns: - Shaped reward value - """ - # Check if the response ends with a valid action - response_lower = response.lower().strip() - last_words = response_lower.split()[-3:] if response_lower else [] + # Record metrics + if episode_data.truncation_reason: + record_metric( + f"episode/truncated_{episode_data.truncation_reason}", + 1, + Reduce.SUM, + ) + record_metric("episode/total_tokens", len(episode_data.token_ids), Reduce.MEAN) + record_metric("episode/turns", turn_num, Reduce.MEAN) + + # ============ Create episode ============ + # Create loss_mask by shifting response_mask + loss_mask_tensor = torch.roll( + episode_data.response_mask, shifts=-1, dims=0 + ).float() + loss_mask_tensor[-1] = 0.0 # Last position should not train + + return Episode( + episode_id=game_id, + task_name="blackjack", + policy_version=policy_version, + is_truncated=episode_data.is_truncated, + all_token_ids=episode_data.token_ids, + response_mask=episode_data.response_mask, + loss_mask=loss_mask_tensor, + reward=final_reward, + logprobs=episode_data.logprobs, + message_log=accumulator.messages.copy(), + metadata={ + "truncation_reason": episode_data.truncation_reason, + "num_turns": turn_num, + "num_trainable_tokens": episode_data.response_mask.sum().item(), + **(result.metadata if "result" in locals() else {}), + }, + ) - has_valid_action = any(word in ["hit", "stand"] for word in last_words) + finally: + env.close() + + +async def do_group_rollout( + envs: list[BlackjackEnv], + policy, + tokenizer, + max_seq_len: int, + max_turns: int, + messages: list[dict], +) -> list[Episode]: + """ + Rollout multiple games in parallel. - # Base reward from game outcome - reward = float(game_reward) + Args: + envs: List of N BlackjackEnv instances + policy: Policy for generation + tokenizer: Tokenizer for chat template + max_seq_len: Episode-level token budget + max_turns: Max turns per game + messages: Initial messages for all games (e.g., [{"role": "system", ...}]) - # Penalize invalid format (didn't end with HIT or STAND) - if not has_valid_action: - reward -= 1.0 # Strong penalty for invalid format - record_metric("reward/invalid_action_rate", 1, Reduce.MEAN) - else: - record_metric("reward/invalid_action_rate", 0, Reduce.MEAN) + Returns: + List of N Episodes + """ + tasks = [ + do_single_rollout( + env=envs[i], + policy=policy, + tokenizer=tokenizer, + max_seq_len=max_seq_len, + max_turns=max_turns, + messages=messages, + game_id=f"game_{i}_{uuid.uuid4().hex[:8]}", + ) + for i in range(len(envs)) + ] - # Optional reward shaping: Scale up wins - if game_reward > 0: - reward = max(reward, 1.5) # Make wins more valuable (but respect penalty) - elif game_reward == 0: - reward = max(reward, 0.3) # Pushes better than losses (but respect penalty) + episodes = await asyncio.gather(*tasks) + return list(episodes) - record_metric("reward/evaluate_response/avg_reward", reward, Reduce.MEAN) - return reward +# ============================================================================ +# Helper Actors (from main.py) +# ============================================================================ @dataclass class ComputeAdvantages(ForgeActor): + """Compute advantages for a group of episodes.""" + @endpoint - async def compute(self, group: Group) -> list[float]: - # TODO: add batch processing + async def compute(self, group: list[Episode]) -> list[float]: + """Compute advantages using reward standardization.""" rewards = torch.tensor([[e.reward for e in group]]) mean = rewards.mean(1, keepdim=True) std = rewards.std(1, keepdim=True) @@ -313,300 +429,371 @@ async def compute(self, group: Group) -> list[float]: return advantages.squeeze(0).tolist() -@dataclass -class EnvironmentActor(ForgeActor): - """Actor that manages OpenEnv connections and tokenizer.""" +# ============================================================================ +# Training Functions (from main.py) +# ============================================================================ - server_url: str = "http://localhost:8004" - model: str = "Qwen/Qwen3-1.7B" - @endpoint - def setup(self): - self._tokenizer = get_tokenizer(self.model) - print(f"EnvironmentActor initialized (server: {self.server_url})") +def collate( + batches: list[list[Episode]], + pad_id: int, +) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: + """ + Collates a list of batches (groups) into inputs and targets. - @endpoint - async def get_tokenizer(self): - return self._tokenizer + Args: + batches: List of groups, where each group is a list of Episodes + pad_id: Padding token ID from tokenizer - @endpoint - async def pad_token(self): - # Use pad_token_id if available, otherwise use eos_token_id - # Llama models don't have a pad token by default - if self._tokenizer.pad_token_id is not None: - return self._tokenizer.pad_token_id - else: - return self._tokenizer.eos_token_id + Returns: + (inputs, targets) for training + """ + inputs = [] + targets = [] + for batch in batches: + # Stack all tensors (pad to max length in batch) + all_tokens = [e.all_token_ids for e in batch] + all_tokens = torch.nn.utils.rnn.pad_sequence( + all_tokens, batch_first=True, padding_value=pad_id + ) -async def drop_weights(version: int): - print(f"Dropping weights @ version {version}") - start_time = time.perf_counter() - prefix = get_param_prefix(version) - matching_keys = await ts.keys(prefix) - # TODO: once we have something like `get_meta()` in torchstore, we can just - # query the type of the object instead of relying on keys. - dcp_key = get_dcp_whole_state_dict_key(version) - if dcp_key in matching_keys: - dcp_handle = await ts.get(dcp_key) - dcp_handle.drop() - for key in matching_keys: - await ts.delete(key) - elapsed = time.perf_counter() - start_time - print(f"Dropped weights @ version {version}, took {elapsed:.2f} seconds") + loss_masks = [e.loss_mask for e in batch] + loss_masks = torch.nn.utils.rnn.pad_sequence( + loss_masks, batch_first=True, padding_value=0.0 + ) + + ref_logprobs = [e.ref_logprobs for e in batch] + ref_logprobs = torch.nn.utils.rnn.pad_sequence( + ref_logprobs, batch_first=True, padding_value=0.0 + ) + advantages = torch.tensor([e.advantage for e in batch]).unsqueeze(-1) # [b, 1] -async def play_game( - game_idx: int, - game_id: str, - server_url: str, - policy: Generator, - tokenizer, - rollout_count: int = 0, -): + # Create input and target dicts + input = {"tokens": all_tokens} + target = { + "input_ids": all_tokens, # For torch.roll in loss + "loss_mask": loss_masks, # Trainable positions + "ref_logprobs": ref_logprobs, + "advantages": advantages, + } + + inputs.append(input) + targets.append(target) + + return inputs, targets + + +# TODO: delete extensive debugging +# TODO: make KL clipping optional +def simple_grpo_loss( + logits: torch.Tensor, # [b, seq_len, vocab] + input_ids: torch.Tensor, # [b, seq_len] + loss_mask: torch.Tensor, # [b, seq_len] float + ref_logprobs: torch.Tensor, # [b, seq_len] + advantages: torch.Tensor, # [b, 1] + beta: float = 0.1, +) -> torch.Tensor: """ - Play a single blackjack game and collect episode data. + GRPO loss with KL clipping Args: - game_idx: Index of this game in the rollout - game_id: Unique game identifier - server_url: OpenEnv server URL - policy: Policy (Generator) for action selection - tokenizer: Tokenizer for prompt formatting - rollout_count: Current rollout iteration + logits: Model logits [b, seq_len, vocab_size] + input_ids: Input token IDs [b, seq_len] + loss_mask: Loss mask [b, seq_len] - 1.0 for trainable positions + ref_logprobs: Reference logprobs [b, seq_len] + advantages: Advantages [b, 1] + beta: KL penalty coefficient Returns: - List of step results with prompts, responses, and final reward + Loss scalar """ - env = OpenSpielEnv(base_url=server_url) + # Create targets using utility function + targets = create_shifted_targets(input_ids, loss_mask) # [b, seq_len] + + # Compute policy logprobs (ignore_index automatically zeros masked positions) + logprobs = compute_logprobs( + logits, targets, ignore_index=CROSS_ENTROPY_IGNORE_IDX + ) # [b, seq_len] - masked positions already 0.0! + + # ======================================================================== + # LOGGING: Input validation + # ======================================================================== + record_metric("loss_debug/batch_size", float(input_ids.shape[0]), Reduce.MEAN) + record_metric("loss_debug/seq_len", float(input_ids.shape[1]), Reduce.MEAN) + record_metric( + "loss_debug/num_trainable_tokens", loss_mask.sum().item(), Reduce.MEAN + ) + record_metric("loss_debug/targets_min", targets.float().min().item(), Reduce.MEAN) + record_metric("loss_debug/targets_max", targets.float().max().item(), Reduce.MEAN) + + # ======================================================================== + # LOGGING: Logprobs statistics + # ======================================================================== + # Mask logprobs for stats (only look at trainable positions) + masked_logprobs = logprobs * loss_mask + masked_ref_logprobs = ref_logprobs * loss_mask + num_trainable = loss_mask.sum().clamp(min=1.0) + + record_metric( + "loss_debug/logprobs_mean", + (masked_logprobs.sum() / num_trainable).item(), + Reduce.MEAN, + ) + record_metric( + "loss_debug/logprobs_min", + logprobs[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + record_metric( + "loss_debug/logprobs_max", + logprobs[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + record_metric( + "loss_debug/logprobs_std", + logprobs[loss_mask.bool()].std().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) - # Bypass corporate proxy for localhost connections - env._http.trust_env = False + record_metric( + "loss_debug/ref_logprobs_mean", + (masked_ref_logprobs.sum() / num_trainable).item(), + Reduce.MEAN, + ) + record_metric( + "loss_debug/ref_logprobs_min", + ref_logprobs[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + record_metric( + "loss_debug/ref_logprobs_max", + ref_logprobs[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + record_metric( + "loss_debug/ref_logprobs_std", + ref_logprobs[loss_mask.bool()].std().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) - print(f"\n🎮 GAME {game_idx + 1} (Rollout #{rollout_count + 1}) - ID: {game_id}") + # Logprob difference + logprob_diff = ref_logprobs - logprobs + masked_logprob_diff = logprob_diff * loss_mask + record_metric( + "loss_debug/logprob_diff_mean", + (masked_logprob_diff.sum() / num_trainable).item(), + Reduce.MEAN, + ) + record_metric( + "loss_debug/logprob_diff_min", + logprob_diff[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + record_metric( + "loss_debug/logprob_diff_max", + logprob_diff[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) - try: - result = env.reset() - obs = result.observation - done = False - step_num = 0 - action_history = [] - game_steps = [] - - while not done and step_num < 10: # Max 10 steps per game - # Format prompt with game state - prompt = format_prompt(step_num, action_history, obs, tokenizer) - - # Generate action with policy (with timeout) - try: - responses = await asyncio.wait_for( - policy.generate.route(prompt), timeout=60.0 - ) - except asyncio.TimeoutError: - print( - f"[ERROR] Policy generation timed out for {game_id} at step {step_num}" - ) - raise + # KL divergence (masked positions are 0.0, so they don't contribute) + # Following VERL's approach: clip log difference before exp for numerical stability + # See: verl/trainer/ppo/core_algos.py kl_penalty_forward() + logprob_diff_clipped = torch.clamp(logprob_diff, min=-20.0, max=20.0) + kl = torch.exp(logprob_diff_clipped) - logprob_diff_clipped - 1 + # Clip final KL to prevent extreme values + kl = torch.clamp(kl, min=-10.0, max=10.0) + + # ======================================================================== + # LOGGING: KL divergence statistics + # ======================================================================== + masked_kl = kl * loss_mask + record_metric( + "loss_debug/kl_mean", (masked_kl.sum() / num_trainable).item(), Reduce.MEAN + ) + record_metric( + "loss_debug/kl_min", + kl[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + record_metric( + "loss_debug/kl_max", + kl[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + record_metric( + "loss_debug/kl_std", + kl[loss_mask.bool()].std().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + record_metric( + "loss_debug/beta_times_kl_mean", + (beta * masked_kl.sum() / num_trainable).item(), + Reduce.MEAN, + ) - response = responses[0] + # ======================================================================== + # LOGGING: Advantages statistics + # ======================================================================== + record_metric("loss_debug/advantages_mean", advantages.mean().item(), Reduce.MEAN) + record_metric("loss_debug/advantages_min", advantages.min().item(), Reduce.MEAN) + record_metric("loss_debug/advantages_max", advantages.max().item(), Reduce.MEAN) + record_metric("loss_debug/advantages_std", advantages.std().item(), Reduce.MEAN) - # Parse and execute action - action_id = parse_action(response.text, obs.legal_actions) - action_name = "HIT" if action_id == 0 else "STAND" - - # Store step data (reward assigned later) - game_steps.append( - { - "step_num": step_num, - "prompt": prompt, - "response": response, - } - ) + # Policy loss + per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages + per_token_loss = -(per_token_policy_loss - beta * kl) # [b, seq_len] + + # ======================================================================== + # LOGGING: Per-token loss statistics + # ======================================================================== + masked_policy_loss = per_token_policy_loss * loss_mask + masked_per_token_loss = per_token_loss * loss_mask + + record_metric( + "loss_debug/policy_loss_mean", + (masked_policy_loss.sum() / num_trainable).item(), + Reduce.MEAN, + ) + record_metric( + "loss_debug/policy_loss_min", + ( + per_token_policy_loss[loss_mask.bool()].min().item() + if num_trainable > 0 + else 0.0 + ), + Reduce.MEAN, + ) + record_metric( + "loss_debug/policy_loss_max", + ( + per_token_policy_loss[loss_mask.bool()].max().item() + if num_trainable > 0 + else 0.0 + ), + Reduce.MEAN, + ) - # Take action in environment - result = env.step( - OpenSpielAction(action_id=action_id, game_name="blackjack") - ) - obs = result.observation - done = result.done + record_metric( + "loss_debug/per_token_loss_mean", + (masked_per_token_loss.sum() / num_trainable).item(), + Reduce.MEAN, + ) + record_metric( + "loss_debug/per_token_loss_min", + per_token_loss[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) + record_metric( + "loss_debug/per_token_loss_max", + per_token_loss[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0, + Reduce.MEAN, + ) - # Add action to history with the resulting hand total (for card counting) - hand_total_after = obs.metadata.get("player_total", "?") - action_history.append((action_name, hand_total_after)) + # Masked average (per sample, then batch average) + loss = ( + (per_token_loss * loss_mask).sum(dim=1) / loss_mask.sum(dim=1).clamp(min=1.0) + ).mean() - step_num += 1 + # ======================================================================== + # LOGGING: Final loss + # ======================================================================== + record_metric("loss_debug/final_loss", loss.item(), Reduce.MEAN) + + # ======================================================================== + # EMERGENCY DUMP: If any value is huge, save tensors to file + # ======================================================================== + huge_threshold = 1000.0 + all_stats = [ + ("logprobs_mean", (masked_logprobs.sum() / num_trainable).item()), + ("ref_logprobs_mean", (masked_ref_logprobs.sum() / num_trainable).item()), + ("kl_mean", (masked_kl.sum() / num_trainable).item()), + ("kl_max", kl[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0), + ("advantages_mean", advantages.mean().item()), + ("advantages_max", advantages.max().item()), + ("policy_loss_mean", (masked_policy_loss.sum() / num_trainable).item()), + ( + "policy_loss_max", + ( + per_token_policy_loss[loss_mask.bool()].max().item() + if num_trainable > 0 + else 0.0 + ), + ), + ("per_token_loss_mean", (masked_per_token_loss.sum() / num_trainable).item()), + ( + "per_token_loss_max", + per_token_loss[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0, + ), + ("final_loss", loss.item()), + ] - # Get final game outcome - final_game_reward = result.reward # +1 (win), -1 (loss), or 0 (push) + # for name, value in all_stats: + # if abs(value) > huge_threshold: + # # Save all tensors to file for debugging + # import datetime + + # timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S") + # dump_file = f"/tmp/grpo_loss_debug_{timestamp}.pt" + # torch.save( + # { + # "logits": logits.cpu(), + # "input_ids": input_ids.cpu(), + # "targets": targets.cpu(), + # "loss_mask": loss_mask.cpu(), + # "logprobs": logprobs.cpu(), + # "ref_logprobs": ref_logprobs.cpu(), + # "advantages": advantages.cpu(), + # "kl": kl.cpu(), + # "per_token_policy_loss": per_token_policy_loss.cpu(), + # "per_token_loss": per_token_loss.cpu(), + # "loss": loss.cpu(), + # "beta": beta, + # "trigger_stat": name, + # "trigger_value": value, + # }, + # dump_file, + # ) + # print(f"\n{'='*80}") + # print(f"⚠️ HUGE VALUE DETECTED: {name} = {value:.2f}") + # print(f"Dumped all tensors to: {dump_file}") + # print(f"{'='*80}\n") + # break # Only dump once - outcome_text = ( - "WIN" - if final_game_reward > 0 - else ("LOSS" if final_game_reward < 0 else "PUSH") - ) - print( - f" Result: {outcome_text} (reward={final_game_reward}, steps={len(game_steps)})" - ) + return loss - # Print all steps with full model thinking - if game_steps: - print(f"\n === GAME SUMMARY ===") - for step_data in game_steps: - print(f"\n Step {step_data['step_num'] + 1}:") - - # Parse prompt to show key information - prompt_lines = step_data["prompt"].split("\n") - for line in prompt_lines: - if "Your hand total:" in line or "Dealer shows:" in line: - print(f" {line.strip()}") - - # Show action taken - action_text = step_data["response"].text - if "hit" in action_text.lower(): - action_taken = "HIT" - elif "stand" in action_text.lower(): - action_taken = "STAND" - else: - action_taken = "UNKNOWN" - print(f" Action: {action_taken}") - - # Show full thinking process - print(f"\n Full AI thinking:") - print(f" {'-' * 60}") - # Print the complete response text with proper indentation - for line in step_data["response"].text.split("\n"): - print(f" {line}") - print(f" {'-' * 60}") - - print(f"\n Final outcome: {outcome_text} (reward={final_game_reward})") - print(f" ===================\n") - - # Assign final reward to all steps - all_step_results = [] - total_steps = len(game_steps) - for step_data in game_steps: - all_step_results.append( - { - "game_id": game_id, - "final_reward": final_game_reward, - "total_steps": total_steps, - **step_data, - } - ) - # Record game outcome metrics with clearer names - record_metric("game/total_games_played", 1, Reduce.SUM) - record_metric("game/average_game_length_in_steps", len(game_steps), Reduce.MEAN) - - # Average reward: +1 for win, -1 for loss, 0 for push - record_metric("game/average_reward", final_game_reward, Reduce.MEAN) - - # Track wins, losses, pushes separately - if final_game_reward > 0: - record_metric("game/count_wins", 1, Reduce.SUM) - record_metric("game/win_rate", 1, Reduce.MEAN) # 1 = win, 0 = not win - elif final_game_reward < 0: - record_metric("game/count_losses", 1, Reduce.SUM) - record_metric("game/win_rate", 0, Reduce.MEAN) # 0 = loss - else: - record_metric("game/count_pushes", 1, Reduce.SUM) - record_metric("game/win_rate", 0, Reduce.MEAN) # 0 = push (not a win) - - # Parse the last observation before game ended to get final state - # Note: We use the observation from the last step (before done=True) - if game_steps: - # Get the observation from the last action step - last_step_obs = obs # This is the final obs after the last step - - player_final = last_step_obs.metadata.get("player_total") - dealer_card = last_step_obs.metadata.get("dealer_card") - - if player_final is not None and dealer_card is not None: - # Record final state metrics - record_metric( - "game/average_player_final_hand", player_final, Reduce.MEAN - ) - record_metric("game/average_dealer_upcard", dealer_card, Reduce.MEAN) +async def drop_weights(version: int): + """Drop old weights from torchstore.""" + print(f"Dropping weights @ version {version}") + start_time = time.perf_counter() + prefix = get_param_prefix(version) + matching_keys = await ts.keys(prefix) + dcp_key = get_dcp_whole_state_dict_key(version) + if dcp_key in matching_keys: + dcp_handle = await ts.get(dcp_key) + dcp_handle.drop() + for key in matching_keys: + await ts.delete(key) + elapsed = time.perf_counter() - start_time + print(f"Dropped weights @ version {version}, took {elapsed:.2f} seconds") - # Player busted if > 21 - if player_final > 21: - record_metric("game/bust_rate", 1, Reduce.MEAN) - else: - record_metric("game/bust_rate", 0, Reduce.MEAN) - - # Track average hand totals by outcome (for strategy analysis) - if final_game_reward > 0: # Win - record_metric( - "game/average_winning_hand_total", player_final, Reduce.MEAN - ) - elif final_game_reward < 0: # Loss - record_metric( - "game/average_losing_hand_total", player_final, Reduce.MEAN - ) - - return all_step_results - - except Exception as e: - print(f"[ERROR] play_game {game_id} failed with {type(e).__name__}: {e}") - import traceback - - traceback.print_exc() - raise - finally: - env.close() + +# ============================================================================ +# Main Training Loop +# ============================================================================ async def main(cfg: DictConfig): """Main GRPO training loop with rollout and training processes.""" - group_size = cfg.group_size - max_req_tokens = cfg.max_req_tokens - max_res_tokens = cfg.max_res_tokens - - # ---- Start OpenSpiel Server ---- # - game_name = cfg.blackjack_env.get("game_name", "blackjack") - server_port = cfg.blackjack_env.get("server_port", 8004) - # Clean up any existing server on this port - if kill_process_on_port(server_port): - print(f"Cleaned up existing server on port {server_port}") - - print(f"Starting OpenSpiel server for game '{game_name}' on port {server_port}...") - server_process = multiprocessing.Process( - target=start_openspiel_server, args=(game_name, server_port) + # ---- Start OpenSpiel Servers ---- # + server_processes, server_ports = start_servers( + num_servers=cfg.get("rollout_threads", 1), + base_port=cfg.blackjack_env.server_port, + game_name=cfg.blackjack_env.game_name, ) - server_process.start() - - # Wait for server to be ready - print("Waiting for OpenSpiel server to be ready...") - server_ready = False - for i in range(30): # Try for 30 seconds - # Check if server process is still alive - if not server_process.is_alive(): - print(f"[ERROR] Server process died unexpectedly!") - print(f"[ERROR] Exit code: {server_process.exitcode}") - raise RuntimeError( - f"OpenSpiel server process crashed during startup (exit code: {server_process.exitcode})" - ) - - try: - # Skip proxy for localhost to avoid corporate proxy blocking with 403 - resp = requests.get( - f"http://localhost:{server_port}/health", - timeout=1, - proxies={"http": None, "https": None}, # Bypass proxy - ) - print(f"[DEBUG] Health check attempt {i+1}: status={resp.status_code}") - if resp.status_code == 200: - server_ready = True - print(f"✓ OpenSpiel server ready (took {i+1}s)") - break - except Exception as e: - print(f"[DEBUG] Health check attempt {i+1} failed: {type(e).__name__}: {e}") - time.sleep(1) - - if not server_ready: - server_process.terminate() - raise RuntimeError(f"OpenSpiel server never became ready on port {server_port}") # ---- Global setups ---- # provisioner = None @@ -617,52 +804,50 @@ async def main(cfg: DictConfig): else: provisioner = await init_provisioner() - metric_logging_cfg = cfg.get("metric_logging", {}) + metric_logging_cfg = cfg.metric_logging mlogger = await get_or_create_metric_logger(process_name="Controller") await mlogger.init_backends.call_one(metric_logging_cfg) - # ---- Setup services ---- # + # ---- Setup tokenizers ---- # + # Create N tokenizers for N rollout threads (one per thread, no sharing) + num_rollout_threads = cfg.rollout_threads + tokenizers = [ + get_tokenizer(cfg.blackjack_env.model) for _ in range(num_rollout_threads) + ] + pad_id = ( + tokenizers[0].pad_token_id + if tokenizers[0].pad_token_id is not None + else tokenizers[0].eos_token_id + ) - # Extract only the fields needed for EnvironmentActor - env_actor_config = { - "server_url": cfg.blackjack_env.server_url, - "model": cfg.blackjack_env.model, - } + # Create collate function with pad_id + collate_fn = partial(collate, pad_id=pad_id) + # ---- Setup services ---- # ( - env_actor, policy, trainer, replay_buffer, compute_advantages, ref_model, - reward_actor, ) = await asyncio.gather( - EnvironmentActor.options(**cfg.actors.blackjack_env).as_actor( - **env_actor_config - ), - Policy.options(**cfg.services.policy).as_service(**cfg.policy), + Generator.options(**cfg.services.policy).as_service(**cfg.policy), TitanTrainer.options(**cfg.actors.trainer).as_actor( **cfg.trainer, loss=simple_grpo_loss ), ReplayBuffer.options(**cfg.actors.replay_buffer).as_actor( - **cfg.replay_buffer, collate=collate + **cfg.replay_buffer, collate=collate_fn ), ComputeAdvantages.options(**cfg.actors.compute_advantages).as_actor(), ReferenceModel.options(**cfg.services.ref_model).as_service(**cfg.ref_model), - BlackJackReward.options(**cfg.services.reward_actor).as_service(), ) - # Set max_steps to the configured value, or -1 if not specified or Null max_steps = cfg.trainer.training.steps or -1 print("All services initialized successfully!") shutdown_event = asyncio.Event() - # Here we spawn a torchstore storage volume per trainer process. - # We initialize after service initialization because torchstore currently - # requires access to the underlying proc meshes in the local rank strategy. - # We should be able to hide this in the future. - # TODO: support multiple host meshes + + # Initialize torchstore trainer_num_procs = cfg.actors.trainer["procs"] trainer_host_mesh_name = cfg.actors.trainer["mesh_name"] trainer_hosts = provisioner.get_host_mesh(trainer_host_mesh_name) @@ -672,113 +857,141 @@ async def main(cfg: DictConfig): ) print("Torchstore successfully initialized with local rank strategy") - # ---- Warmup policy ---- # - print("Warming up policy with test generation...") - test_prompt = "Test prompt to warm up the model." - try: - test_response = await asyncio.wait_for( - policy.generate.route(test_prompt), timeout=120.0 - ) - print(f"✓ Policy ready, test response: '{test_response[0].text[:50]}...'") - except asyncio.TimeoutError: - raise RuntimeError("Policy warmup timed out after 120s") - except Exception as e: - raise RuntimeError(f"Policy warmup failed: {e}") - - # ---- Test OpenSpiel server ---- # - print("Testing OpenSpiel server connection...") - test_env = OpenSpielEnv( - base_url=cfg.blackjack_env.get("server_url", "http://localhost:9000") - ) - # Bypass corporate proxy for localhost - must set trust_env=False - test_env._http.trust_env = False - try: - print( - f"[DEBUG] Test env base_url={test_env._base}, timeout={test_env._timeout}" - ) - print(f"[DEBUG] Test env trust_env={test_env._http.trust_env}") - print(f"[DEBUG] Calling test_env.reset()...") - test_result = test_env.reset() - print( - f"✓ OpenSpiel server test successful, legal_actions={test_result.observation.legal_actions}" - ) - test_env.close() - except Exception as e: - print(f"[ERROR] OpenSpiel server test failed: {type(e).__name__}: {e}") - import traceback - - traceback.print_exc() - raise RuntimeError(f"OpenSpiel server test failed: {e}") - # ---- Core RL loops ---- # - async def continuous_rollouts(): + async def continuous_rollouts(thread_id: int, tokenizer): + """Main GRPO rollout loop using new architecture.""" rollout_count = 0 - pad_id = await env_actor.pad_token.call_one() - tokenizer = await env_actor.get_tokenizer.call_one() - server_url = cfg.blackjack_env.get("server_url", "http://localhost:8004") + + # Config - use dedicated server for this thread + server_url = f"http://localhost:{server_ports[thread_id]}" + max_seq_len = cfg.blackjack_env.max_seq_len + max_turns = cfg.blackjack_env.max_turns + group_size = cfg.group_size + + print(f"[Thread {thread_id}] Using server at {server_url}") + + # Initial messages + initial_messages = [ + { + "role": "system", + "content": """You are an expert Blackjack player. + +GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). + +RULES: +- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value +- If you go over 21, you bust and lose immediately +- The dealer plays after you and must hit until reaching 17+ + +ACTIONS: +- HIT: Take another card (increases your hand total) +- STAND: Keep your current hand and end your turn + +WIN CONDITIONS: +- Your hand is closer to 21 than the dealer's final hand +- Dealer busts (goes over 21) and you don't +- You get exactly 21 + +IMPORTANT: You MUST output your action in the following format: +HIT or STAND""", + } + ] while not shutdown_event.is_set(): t = Tracer("main_perf/continuous_rollouts") t.start() - # Play group_size games - all_step_results = [] - for game_idx in range(group_size): - game_id = str(uuid.uuid4())[:8] - step_results = await play_game( - game_idx=game_idx, - game_id=game_id, - server_url=server_url, + # ============ Step 1: Rollout group ============ + # TODO: currently done serially + episodes = [] + for i in range(group_size): + env = BlackjackEnv(server_url=server_url) + game_id = f"game_{i}_{uuid.uuid4().hex[:8]}" + + episode = await do_single_rollout( + env=env, policy=policy, tokenizer=tokenizer, - rollout_count=rollout_count, + max_seq_len=max_seq_len, + max_turns=max_turns, + messages=initial_messages, + game_id=game_id, ) - all_step_results.extend(step_results) + episodes.append(episode) t.step("play_games") - # Construct episodes and calculate rewards - episodes = [] - input_ids = torch.ones( - (len(all_step_results), max_req_tokens + max_res_tokens), - dtype=torch.long, - ) - for i, step_result in enumerate(all_step_results): - episode = Episode( - episode_id=str(uuid.uuid4()), - pad_id=pad_id, - request_len=max_req_tokens, - response_len=max_res_tokens, - target=None, - completion=step_result["response"], - ) - episode.reward = await reward_actor.evaluate_response.route( - prompt=step_result["prompt"], - response=step_result["response"].text, - game_reward=step_result["final_reward"], + # Print episode details every 10 rollouts + if episodes and rollout_count % 10 == 0: + print_episode_debug(episodes[0], tokenizer, rollout_count) + + # ============ Step 2: Filter groups (constant rewards) ============ + rewards = [e.reward for e in episodes] + if len(set(rewards)) == 1: + print( + f"[ROLLOUT {rollout_count}] ⚠️ DROPPED GROUP - All {len(episodes)} episodes have same reward: {rewards[0]}" ) - episodes.append(episode) + record_metric("groups/rate_dropped", 1, Reduce.MEAN) + rollout_count += 1 + t.stop() + continue + record_metric("groups/rate_dropped", 0, Reduce.MEAN) + + # ============ Step 3: Compute ref_model ============ + max_len = max(len(e.all_token_ids) for e in episodes) - # Build input_ids for reference logprobs - input_ids[i, :max_req_tokens] = episode.request_tensor - input_ids[i, max_req_tokens:] = episode.response_tensor + # Pad input_ids and loss_masks + padded_input_ids, padded_loss_masks = [], [] + for i, e in enumerate(episodes): + pad_len = max_len - len(e.all_token_ids) - t.step("reward_evaluation") + padded_input_ids.append( + F.pad(e.all_token_ids, (0, pad_len), value=pad_id) + ) + padded_loss_masks.append(F.pad(e.loss_mask, (0, pad_len), value=0.0)) + + input_ids = torch.stack(padded_input_ids) # [batch, max_len] + loss_mask_batch = torch.stack(padded_loss_masks) # [batch, max_len] - ref_logprobs = await ref_model.forward.route( - input_ids, max_req_tokens, return_logprobs=True + # Call ref_model with loss_mask - returns [batch, max_len] + ref_logprobs_padded = await ref_model.forward.route( + input_ids, return_logprobs=True, loss_mask=loss_mask_batch ) + t.step("reference_model_calculate_logprobs") + # Assign ref_logprobs to episodes (unpad to original length) for i, episode in enumerate(episodes): - episode.ref_logprobs = ref_logprobs[i] - del ref_logprobs, input_ids + seq_len = len(episode.all_token_ids) + episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] # [seq_len] + + del ref_logprobs_padded, input_ids, loss_mask_batch + # ============ Step 4: Compute advantages ============ advantages = await compute_advantages.compute.call_one(episodes) for episode, advantage in zip(episodes, advantages): episode.advantage = advantage + + # ============ Step 5: Episode-level acceptance ============ + accepted = [] + for episode in episodes: + if episode.is_truncated and not cfg.accept_truncated: + record_metric("buffer/rate_rejected_truncated", 1, Reduce.MEAN) + else: + record_metric("buffer/rate_rejected_truncated", 0, Reduce.MEAN) + accepted.append(episode) + + # ============ Step 6: Add to buffer ============ + for episode in accepted: await replay_buffer.add.call_one(episode) + record_metric("buffer/episodes_accepted", len(accepted), Reduce.SUM) + record_metric( + "buffer/episode_acceptance_rate", + len(accepted) / len(episodes) if episodes else 0, + Reduce.MEAN, + ) + rollout_count += 1 record_metric( "main/continuous_rollouts/count_rollout_iterations", 1, Reduce.SUM @@ -786,12 +999,11 @@ async def continuous_rollouts(): t.stop() async def continuous_training(): + """Training loop.""" training_step = 0 - restart_tracer = True # Flag to control when to restart tracer + restart_tracer = True while max_steps == -1 or training_step < max_steps: - # Restart tracer when needed (initial start or after completing a training step) - # Otherwise, we cannot measure time waiting for buffer if restart_tracer: t = Tracer("main_perf/continuous_training") t.start() @@ -804,6 +1016,7 @@ async def continuous_training(): await asyncio.sleep(0.1) else: t.step("waiting_for_buffer") + print(f"[TRAINING] Step {training_step}: Starting training") inputs, targets = batch await trainer.train_step.call(inputs, targets) @@ -823,20 +1036,17 @@ async def continuous_training(): t.stop() restart_tracer = True - # Flush metrics every training step to WandB + # Flush metrics every training step await mlogger.flush.call_one(training_step) print( f"Reached training limit ({max_steps} steps). Exiting continuous_training loop." ) - num_rollout_threads = cfg.get("rollout_threads", 1) - num_training_threads = cfg.get("training_threads", 1) - print( - f"Starting GRPO with {num_rollout_threads} rollout threads, {num_training_threads} training threads" - ) + print(f"Starting GRPO with {num_rollout_threads} rollout threads") rollout_tasks = [ - asyncio.create_task(continuous_rollouts()) for _ in range(num_rollout_threads) + asyncio.create_task(continuous_rollouts(thread_id=i, tokenizer=tokenizers[i])) + for i in range(num_rollout_threads) ] training_task = asyncio.create_task(continuous_training()) @@ -850,7 +1060,6 @@ async def continuous_training(): # Cancel rollout tasks try: - # Give rollouts up to 5s to finish naturally await asyncio.wait_for( asyncio.gather(*rollout_tasks, return_exceptions=True), timeout=5, @@ -868,7 +1077,7 @@ async def continuous_training(): except (asyncio.CancelledError, asyncio.TimeoutError): pass - # Shutdown forge actors/services with timeout + # Shutdown forge actors/services print("Shutting down Forge actors...") try: await asyncio.wait_for(shutdown(), timeout=10) @@ -876,15 +1085,8 @@ async def continuous_training(): except asyncio.TimeoutError: print("⚠ Forge shutdown timed out after 10s, forcing exit...") - # Shutdown OpenSpiel server - print("Stopping OpenSpiel server...") - server_process.terminate() - server_process.join(timeout=2) - if server_process.is_alive(): - print("⚠ Server didn't stop gracefully, killing...") - server_process.kill() - server_process.join(timeout=1) - print("✓ OpenSpiel server stopped") + # Shutdown OpenSpiel servers + shutdown_servers(server_processes) if __name__ == "__main__": diff --git a/apps/blackjack/main_v2.py b/apps/blackjack/main_v2.py deleted file mode 100644 index 6f4c61ef8..000000000 --- a/apps/blackjack/main_v2.py +++ /dev/null @@ -1,1986 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -# Usage: python -m apps.blackjack.main_v2 --config apps/blackjack/qwen3_1_7b.yaml - -import asyncio -import multiprocessing -import os -import signal -import subprocess -import threading -import time -import uuid -from dataclasses import dataclass, field -from enum import Enum -from functools import lru_cache, partial -from typing import Any, Optional - -import requests - -import torch -import torch.nn.functional as F -import torchstore as ts -from envs.openspiel_env import OpenSpielAction, OpenSpielEnv -from forge.actors._torchstore_utils import ( - get_dcp_whole_state_dict_key, - get_param_prefix, -) -from forge.actors.generator import Generator -from forge.actors.reference_model import ReferenceModel -from forge.actors.replay_buffer import ReplayBuffer -from forge.actors.trainer import TitanTrainer -from forge.controller.actor import ForgeActor -from forge.controller.provisioner import init_provisioner, shutdown -from forge.data.common import CROSS_ENTROPY_IGNORE_IDX -from forge.observability.metric_actors import get_or_create_metric_logger -from forge.observability.metrics import record_metric, Reduce -from forge.observability.perf_tracker import Tracer -from forge.types import LauncherConfig, ProvisionerConfig -from forge.util.config import parse -from forge.util.ops import compute_logprobs, create_shifted_targets -from monarch.actor import endpoint -from omegaconf import DictConfig -from vllm import SamplingParams -from vllm.transformers_utils.tokenizer import get_tokenizer - -# ============================================================================ -# Server Management Functions (from main.py) -# ============================================================================ - - -def start_openspiel_server(game_name: str, port: int): - """Start OpenSpiel server in background process.""" - os.environ["OPENSPIEL_GAME"] = game_name - - import uvicorn - from envs.openspiel_env.server.app import app - - print(f"[SERVER] Starting uvicorn for game '{game_name}' on port {port}") - uvicorn.run(app, host="0.0.0.0", port=port, log_level="info", access_log=False) - - -def kill_process_on_port(port: int): - """Kill any process using the specified port.""" - result = subprocess.run( - ["lsof", "-ti", f":{port}"], - capture_output=True, - text=True, - timeout=5, - ) - if result.stdout.strip(): - pids = result.stdout.strip().split("\n") - for pid in pids: - try: - os.kill(int(pid), signal.SIGKILL) - print(f"[DEBUG] Killed existing process {pid} on port {port}") - except ProcessLookupError: - pass - time.sleep(0.5) - return True - return False - - -# ============================================================================ -# New Data Models (from v5) -# ============================================================================ - - -@dataclass -class Episode: - """Episode data for GRPO training (new structure).""" - - # Required fields (no defaults) - episode_id: str - all_token_ids: torch.Tensor # [seq_len] - response_mask: torch.Tensor # [seq_len] - loss_mask: torch.Tensor # [seq_len] - reward: float - - # Optional fields (with defaults) - task_name: str = "blackjack" - policy_version: int = 0 - is_truncated: bool = False - advantage: float | None = None - logprobs: torch.Tensor | None = None # [seq_len] - ref_logprobs: torch.Tensor | None = None # [seq_len] - metadata: dict[str, Any] = field(default_factory=dict) - message_log: list[dict[str, str]] | None = None - - -@dataclass -class EnvStepResult: - """Result from environment step.""" - - observation: dict[str, str] # Next message: {"role": "user", "content": "..."} - reward: float # Reward for this step - done: bool # Episode ended? - metadata: dict[str, Any] = field(default_factory=dict) - - -# ============================================================================ -# TokenAccumulator -# ============================================================================ - - -class ValidationMode(Enum): - """Validation strictness.""" - - STRICT = "strict" # Raise on failures - WARN = "warn" # Print warnings - OFF = "off" # No validation - - -class TruncationReason(Enum): - """Truncation reason.""" - - USER_TOO_LONG = "user_too_long" - ASSISTANT_TOO_LONG = "assistant_too_long" - TOOL_TOO_LONG = "tool_too_long" - MAX_NUM_TURNS = "max_num_turns" - - -@dataclass -class EpisodeData: - """ - Episode data as tensors, ready for training. - - All tensors have shape (T,) where T is sequence length. - """ - - token_ids: torch.Tensor # dtype=long - response_mask: torch.Tensor # dtype=bool - logprobs: torch.Tensor # dtype=float - is_truncated: bool - truncation_reason: Optional[str] = None - - -class TokenAccumulator: - """ - Accumulate tokens for multi-turn RL episodes using vLLM tokens directly. - - ## Why Delta Tokenization? - - vLLM only returns assistant response tokens. We need the full conversation with - chat template tokens for training. We can't re-tokenize because it's expensive - and error-prone. - - **What we get from vLLM:** - ``` - response_tokens = [791, 19, 374, 220, 2] # ["The", "answer", "is", "4", ""] - ``` - - **What we need for training:** - ``` - [1, 2, 3] # ["You", "are", "helpful"] (not trainable) - [10, 11, 12, 13] # ["What", "is", "2+2", "?"] (not trainable) - [150, 123] # ["<|im_start|>", "assistant"] (not trainable) - [791, 19, 374, 220, 2] # ["The", "answer", "is", "4", eos] (TRAINABLE!) - [151] # ["<|im_end|>"] (not trainable, Qwen only) - ``` - - **Solution:** Use an anchor conversation [system, empty_user] that never changes. - Tokenize new messages against it and extract deltas. For assistant responses, - add generation prompt prefix and any model-specific suffix. - - ## Truncation Behavior - - - **add_user**: If truncated, adds partial message (truncated to fit budget) - - **add_assistant**: If truncated, DROPS entire response (nothing added) - - Once truncated, all subsequent adds will fail (return False) - - ## Usage - - ```python - acc = TokenAccumulator(tok, [{"role": "system", "content": "Help"}], 2048, eos_id=2) - - # Add messages - acc.add_user("What is 2+2?") - prompt = acc.format_prompt() - response = vllm_generate(prompt) - acc.add_assistant(response.text, response.token_ids, response.logprobs) - - # Show what will be trained on - acc.show_messages() - - # Get episode data as tensors - episode = acc.get_data() - # episode.token_ids: torch.Tensor (long) - # episode.response_mask: torch.Tensor (bool, True = trainable) - # episode.logprobs: torch.Tensor (float) - ``` - - Args: - tokenizer: HuggingFace tokenizer with apply_chat_template - messages: Initial messages (must include system message) - max_len: Maximum sequence length - eos_id: End-of-sequence token ID - thinking: Enable tags for Qwen models - validation: Validation mode (STRICT, WARN, OFF) - """ - - def __init__( - self, - tokenizer, - messages: list[dict], - max_len: int, - eos_id: int, - thinking: bool = True, - validation: ValidationMode = ValidationMode.STRICT, - ) -> None: - self._validate_init(tokenizer, messages, max_len, eos_id) - - self.tokenizer = tokenizer - self.max_len = max_len - self.eos_id = eos_id - self.thinking = thinking - self.validation = validation - - # State - self.messages: list[dict] = [] - self._tokens: list[int] = [] - self._mask: list[bool] = [] - self._logprobs: list[float] = [] - self.truncated: bool = False - self.truncation_reason: Optional[TruncationReason] = None - - # Track message boundaries for efficient validation - # Each entry: (end_idx, role, should_end_with_eos) - self._message_ends: list[tuple[int, str, bool]] = [] - - # Thread safety - self._lock = threading.Lock() - - # Setup - self._setup_anchor(messages) - self._init_messages(messages) - - def __repr__(self) -> str: - status = f", truncated" if self.truncated else "" - return f"TokenAccumulator({len(self._tokens)}/{self.max_len}{status})" - - @property - def budget(self) -> int: - """Remaining token budget.""" - return max(0, self.max_len - len(self._tokens) - self.gen_prompt_len) - - def add_user(self, content: str) -> bool: - """ - Add user message. If truncated, adds partial message (truncated to fit). - - Returns: - True if not truncated, False if truncated - """ - if not isinstance(content, str): - raise TypeError(f"content must be str, got {type(content)}") - - msg = {"role": "user", "content": content} - - # Tokenize [system, user] and extract delta - with self._lock: - full = self.tokenizer.apply_chat_template( - [self.anchor[0], msg], - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.thinking, - ) - # Extract user tokens by slicing off system prefix - tokens = full[self.sys_len :] - - if not tokens: - return True - - # Check budget - budget = self.budget - if budget <= 0: - self._mark_truncated(TruncationReason.USER_TOO_LONG) - return False - - # Truncate if needed (still adds partial) - was_truncated = len(tokens) > budget - if was_truncated: - tokens = tokens[:budget] - self._mark_truncated(TruncationReason.USER_TOO_LONG) - - self.messages.append(msg) - self._add_tokens(tokens, trainable=False, role="user", ends_with_eos=False) - - return not was_truncated - - def add_assistant( - self, text: str, token_ids: list[int], logprobs: Optional[list[float]] = None - ) -> bool: - """ - Add assistant response from vLLM. If truncated, DROPS entire response (nothing added). - - Args: - text: Response text (for message log) - token_ids: Token IDs from vLLM (must end with EOS) - logprobs: Log probabilities (optional) - - Returns: - False if truncated/invalid (response dropped), True if added successfully - """ - # Type validation - if not isinstance(text, str): - raise TypeError(f"text must be str, got {type(text)}") - if not isinstance(token_ids, list): - raise TypeError(f"token_ids must be list, got {type(token_ids)}") - - # Must have tokens and end with EOS - if not token_ids: - return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) - if token_ids[-1] != self.eos_id: - return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) - - # Check budget: generation_prompt + response + suffix - total_len = self.gen_prompt_len + len(token_ids) + len(self.suffix) - if total_len > self.budget: - return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) - - # Validate logprobs if provided - if logprobs is not None: - if not isinstance(logprobs, list): - raise TypeError(f"logprobs must be list or None") - if len(logprobs) != len(token_ids): - raise ValueError( - f"logprobs length mismatch: {len(logprobs)} != {len(token_ids)}" - ) - - self.messages.append({"role": "assistant", "content": text}) - - # Generation prompt (not trainable) - self._add_tokens( - self.gen_prompt_tokens, - trainable=False, - logprobs=[0.0] * len(self.gen_prompt_tokens), - role="assistant_prompt", - ends_with_eos=False, - ) - - # Response tokens (trainable) - self._add_tokens( - token_ids, - trainable=True, - logprobs=logprobs, - role="assistant", - ends_with_eos=True, - ) - - # Suffix if needed (not trainable) - if self.suffix: - self._add_tokens( - self.suffix, - trainable=False, - logprobs=[0.0] * len(self.suffix), - role="assistant_suffix", - ends_with_eos=False, - ) - - return True - - def format_prompt(self) -> str: - """Format conversation for vLLM generation.""" - with self._lock: - return self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=True, - tokenize=False, - enable_thinking=self.thinking, - ) - - def get_data(self) -> EpisodeData: - """ - Convert to tensors, validate, and return episode data. - - Returns: - EpisodeData with torch tensors - - Raises: - AssertionError/ValueError: If validation fails in STRICT mode - """ - # Convert to tensors - token_ids = torch.tensor(self._tokens, dtype=torch.long) - response_mask = torch.tensor(self._mask, dtype=torch.bool) - logprobs = torch.tensor(self._logprobs, dtype=torch.float) - - # Validate on tensors - if self.validation != ValidationMode.OFF: - self._validate(token_ids, response_mask, logprobs) - - return EpisodeData( - token_ids=token_ids, - response_mask=response_mask, - logprobs=logprobs, - is_truncated=self.truncated, - truncation_reason=( - self.truncation_reason.value if self.truncation_reason else None - ), - ) - - def show_messages(self, max_chars: int = 5000) -> None: - """ - Show token stream with trainability highlighted. - - Uses colored text runs for readability (similar to tinker-cookbook's format_colorized). - Groups consecutive tokens with same trainability and decodes together for proper - multi-byte character handling. - - Args: - max_chars: Maximum characters to show in decoded output (default: 5000) - """ - print("=" * 80) - print(f"TokenAccumulator: {len(self._tokens)}/{self.max_len} tokens") - trainable_count = sum(self._mask) - trainable_pct = 100 * trainable_count / len(self._tokens) if self._tokens else 0 - print( - f"Trainable: {trainable_count}/{len(self._tokens)} ({trainable_pct:.1f}%)" - ) - print("=" * 80) - - if not self._tokens: - print("(no tokens)") - print("=" * 80) - return - - # Show messages list - print("\nMessages:") - for i, msg in enumerate(self.messages): - role = msg["role"] - content = msg["content"] - preview = content[:100] + "..." if len(content) > 100 else content - print(f" [{i}] {role:10s} {preview!r}") - - # Show colorized token stream - print("\nToken stream:") - self._show_colorized_token_stream(max_chars) - - print("=" * 80) - - def _show_colorized_token_stream(self, max_chars: int) -> None: - """ - Show full token stream with color coding by trainability. - - Groups consecutive tokens with same trainability into "runs" and decodes - them together. This handles multi-byte characters correctly. - """ - chunks = [] - current_ids = [] - current_trainable = None - total_chars = 0 - - def flush_run(): - nonlocal total_chars - if not current_ids: - return - - # Decode entire run at once - with self._lock: - decoded = self.tokenizer.decode(current_ids) - - # Check if we've exceeded max_chars - if total_chars >= max_chars: - return - - # Truncate if needed - if total_chars + len(decoded) > max_chars: - remaining = max_chars - total_chars - decoded = decoded[:remaining] + "..." - - total_chars += len(decoded) - - # Color based on trainability - if current_trainable: - color_code = "\033[92m" # Green for trainable - symbol = "✓" - else: - color_code = "\033[90m" # Gray for not trainable - symbol = "·" - - # Escape special characters for display - decoded_repr = repr(decoded)[1:-1] # Remove outer quotes - chunks.append(f"{color_code}{symbol} {decoded_repr}\033[0m") - - # Group tokens into runs - for i in range(len(self._tokens)): - trainable = self._mask[i] - - # Flush when trainability changes - if trainable != current_trainable and current_ids: - flush_run() - current_ids = [] - - current_ids.append(self._tokens[i]) - current_trainable = trainable - - # Flush final run - flush_run() - - # Print runs - if chunks: - print(" " + " ".join(chunks)) - - if total_chars >= max_chars: - print(f"\n (output truncated at {max_chars} chars)") - - def _show_colorized_tokens(self, start_idx: int, end_idx: int) -> None: - """ - DEPRECATED: Old method, kept for compatibility. - Use _show_colorized_token_stream instead. - """ - pass - - # Internal helpers - def _validate_init( - self, tokenizer, messages: list[dict], max_len: int, eos_id: int - ) -> None: - """Validate initialization parameters.""" - if not hasattr(tokenizer, "apply_chat_template"): - raise ValueError("Tokenizer must have apply_chat_template method") - if not messages: - raise ValueError("Must provide at least a system message") - if not isinstance(messages, list): - raise TypeError(f"messages must be list, got {type(messages)}") - for i, msg in enumerate(messages): - if not isinstance(msg, dict): - raise TypeError(f"Message {i} must be dict") - if "role" not in msg or "content" not in msg: - raise ValueError(f"Message {i} missing 'role' or 'content'") - if not isinstance(max_len, int) or max_len <= 0: - raise ValueError(f"max_len must be positive int, got {max_len}") - if not isinstance(eos_id, int): - raise TypeError(f"eos_id must be int, got {type(eos_id)}") - - def _setup_anchor(self, msgs: list[dict]) -> None: - """ - Setup anchor for delta tokenization and compute suffix. - - The suffix is anything after EOS in the chat template. We create a test - conversation with EOS and extract any tokens that follow it. - """ - sys = ( - msgs[0] - if msgs[0]["role"] == "system" - else {"role": "system", "content": ""} - ) - self.anchor = [sys, {"role": "user", "content": ""}] - - with self._lock: - # Compute generation prompt - without = self.tokenizer.apply_chat_template( - self.anchor, - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.thinking, - ) - with_gen = self.tokenizer.apply_chat_template( - self.anchor, - add_generation_prompt=True, - tokenize=True, - enable_thinking=self.thinking, - ) - self.gen_prompt_tokens = with_gen[len(without) :] - self.gen_prompt_len = len(self.gen_prompt_tokens) - - # Compute system length - sys_tokens = self.tokenizer.apply_chat_template( - [sys], - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.thinking, - ) - self.sys_len = len(sys_tokens) - - # Compute suffix by tokenizing a test conversation - test_conv = [ - sys, - {"role": "user", "content": "test"}, - {"role": "assistant", "content": "response"}, - ] - test_tokens = self.tokenizer.apply_chat_template( - test_conv, - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.thinking, - ) - - # Find last EOS - eos_idx = -1 - for i in range(len(test_tokens) - 1, -1, -1): - if test_tokens[i] == self.eos_id: - eos_idx = i - break - - # Extract suffix (everything after EOS, or empty if nothing) - if eos_idx >= 0 and eos_idx < len(test_tokens) - 1: - self.suffix = test_tokens[eos_idx + 1 :] - else: - self.suffix = [] - - def _init_messages(self, msgs: list[dict]) -> None: - """Initialize with starting messages.""" - if not msgs: - return - - with self._lock: - tokens = self.tokenizer.apply_chat_template( - msgs, - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.thinking, - ) - - if len(tokens) > self.max_len: - self._mark_truncated(TruncationReason.USER_TOO_LONG) - tokens = tokens[: self.max_len] - - self.messages = msgs.copy() - self._add_tokens(tokens, trainable=False, role="initial", ends_with_eos=False) - - def _add_tokens( - self, - tokens: list[int], - trainable: bool, - logprobs: Optional[list[float]] = None, - role: str = "", - ends_with_eos: bool = False, - ) -> None: - """Add tokens to parallel arrays and track message boundary.""" - if not tokens: - return - - self._tokens.extend(tokens) - self._mask.extend([trainable] * len(tokens)) - self._logprobs.extend(logprobs if logprobs else [0.0] * len(tokens)) - - # Track message end for validation - end_idx = len(self._tokens) - 1 - self._message_ends.append((end_idx, role, ends_with_eos)) - - def _mark_truncated(self, reason: TruncationReason) -> bool: - """Mark as truncated.""" - self.truncated = True - self.truncation_reason = reason - return False - - def _validate( - self, - token_ids: torch.Tensor, - response_mask: torch.Tensor, - logprobs: torch.Tensor, - ) -> None: - """ - Run validation checks on tensors. - - Args: - token_ids: Token IDs tensor (shape: T) - response_mask: Response mask tensor (shape: T) - logprobs: Log probabilities tensor (shape: T) - """ - # Check 1: Shapes match - if not (token_ids.shape == response_mask.shape == logprobs.shape): - raise AssertionError( - f"Shape mismatch: token_ids={token_ids.shape}, " - f"mask={response_mask.shape}, logprobs={logprobs.shape}" - ) - - # Check 2: Budget not exceeded - if len(token_ids) > self.max_len: - raise ValueError(f"Budget overflow: {len(token_ids)} > {self.max_len}") - - # Check 3: Message boundaries are correct - for end_idx, role, should_end_with_eos in self._message_ends: - if should_end_with_eos: - # Token at end_idx should be eos_id - if token_ids[end_idx].item() != self.eos_id: - msg = f"{role} at {end_idx} has token {token_ids[end_idx].item()}, expected EOS {self.eos_id}" - if self.validation == ValidationMode.STRICT: - raise ValueError(msg) - print(f"WARNING: {msg}") - - # For assistant: end_idx should be trainable - if role == "assistant" and not response_mask[end_idx].item(): - msg = f"Assistant EOS at {end_idx} is not trainable" - if self.validation == ValidationMode.STRICT: - raise ValueError(msg) - print(f"WARNING: {msg}") - - # Token after EOS should not be trainable - if end_idx + 1 < len(token_ids) and response_mask[end_idx + 1].item(): - msg = ( - f"Token after EOS at {end_idx+1} is trainable (should be False)" - ) - if self.validation == ValidationMode.STRICT: - raise ValueError(msg) - print(f"WARNING: {msg}") - - # Check 4: Prefix consistency (incremental == full tokenization) - # DISABLED: Qwen always adds think tags to LAST assistant message only, - # but in incremental accumulation every assistant response IS the last one - # at the time we add it. This causes mismatches: - # - thinking=True: missing 4 tokens (last gets think tags in full tokenization) - # - thinking=False: extra 4 tokens (first doesn't get think tags in full tokenization) - # This is expected behavior for Qwen and not a bug. - # - # with self._lock: - # full_tokens = self.tokenizer.apply_chat_template( - # self.messages, add_generation_prompt=False, tokenize=True, enable_thinking=self.thinking - # ) - # - # accumulated_len = len(token_ids) - # expected_len = len(full_tokens) - # - # if accumulated_len != expected_len: - # msg = ( - # f"Prefix consistency failed: " - # f"accumulated={accumulated_len} tokens, " - # f"expected={expected_len}" - # ) - # if self.validation == ValidationMode.STRICT: - # raise AssertionError(msg) - # print(f"WARNING: {msg}") - - -# ============================================================================ -# BlackjackEnv (from v5) -# ============================================================================ - - -class BlackjackEnv: - """ - Minimal blackjack environment. - - Responsibilities: - - Manage game state via OpenSpielEnv - - Parse actions from text - - Return next observation message - - Compute rewards - - Does NOT: - - Hold message history (rollout loop does this) - - Tokenize (rollout loop does this) - - Track cumulative tokens (rollout loop does this) - """ - - def __init__(self, server_url: str): - self.server_url = server_url - self.client = OpenSpielEnv(base_url=server_url) - self.client._http.trust_env = False - - # Game state - self.turn_count = 0 - self.has_invalid_action = False - - def reset(self) -> str: - """ - Reset game and return initial user message. - - Returns: - Initial observation text (NOT a dict, just the content string) - """ - self.turn_count = 0 - self.has_invalid_action = False - - # Reset game - result = self.client.reset() - - # Build initial observation - return self._format_observation(result.observation) - - def step(self, action_text: str) -> EnvStepResult: - """ - Execute action and return next observation. - - Args: - action_text: The assistant's text response - - Returns: - EnvStepResult with next observation message, reward, done - """ - - # Parse action - action_name, error_type = self._parse_action(action_text) - - # Track invalid actions - is_invalid = action_name == "INVALID" - if is_invalid: - self.has_invalid_action = True - action_name = "STAND" # Treat invalid as STAND - record_metric("game/invalid_action_rate", 1, Reduce.MEAN) - - if error_type == "NO_TAGS": - print(f"[ENV] ⚠️ INVALID action: Missing tags!") - print(f"[ENV] Text: '{action_text}...'") - record_metric("game/missing_answer_tags", 1, Reduce.SUM) - elif error_type == "INVALID_CONTENT": - print(f"[ENV] ⚠️ INVALID action: Bad content in tags!") - print(f"[ENV] Text: '{action_text}...'") - record_metric("game/invalid_answer_content", 1, Reduce.SUM) - - print(f"[ENV] Treating as STAND") - else: - record_metric("game/invalid_action_rate", 0, Reduce.MEAN) - - # Execute in game - action_id = 0 if action_name == "HIT" else 1 - result = self.client.step( - OpenSpielAction(action_id=action_id, game_name="blackjack") - ) - - self.turn_count += 1 - - # Compute reward - if result.done: - reward = self._compute_reward(result.reward) - - # Apply penalty for invalid action format - if self.has_invalid_action: - reward -= 10.0 # Penalty for not ending with HIT/STAND - record_metric("game/invalid_action_penalty", 1, Reduce.SUM) - - # Record game outcome metrics - record_metric("game/games_played", 1, Reduce.SUM) - record_metric("game/average_turns", self.turn_count, Reduce.MEAN) - record_metric("game/win_rate", 1 if result.reward > 0 else 0, Reduce.MEAN) - record_metric("game/env_reward", result.reward, Reduce.MEAN) - else: - reward = 0.0 # No intermediate rewards - - # Build next observation (if game continues) - if result.done: - observation = {"role": "user", "content": ""} # Empty, game ended - else: - obs_text = self._format_observation(result.observation) - observation = {"role": "user", "content": obs_text} - - return EnvStepResult( - observation=observation, - reward=reward, - done=result.done, - metadata={ - "turn_count": self.turn_count, - "has_invalid_action": self.has_invalid_action, - "env_reward": result.reward if result.done else 0.0, - }, - ) - - def _format_observation(self, observation) -> str: - """Format game observation into text.""" - player_total = observation.metadata.get("player_total", "?") - dealer_card = observation.metadata.get("dealer_card", "?") - dealer_str = "Ace" if dealer_card == 1 else str(dealer_card) - - return f"Hand: {player_total}, Dealer: {dealer_str}" - - def _parse_action(self, text: str) -> tuple[str, str]: - """Parse action from assistant text using tags. - - Returns: - (action, error_type): action is "HIT", "STAND", or "INVALID" - error_type is "" for valid, "NO_TAGS" or "INVALID_CONTENT" - """ - import re - - # Try to extract content from tags - match = re.search( - r"\s*(.*?)\s*", text, re.IGNORECASE | re.DOTALL - ) - - if match: - answer = match.group(1).strip().upper() - if answer == "HIT": - return ("HIT", "") - elif answer == "STAND": - return ("STAND", "") - else: - # Has tags but invalid content - return ("INVALID", "INVALID_CONTENT") - else: - # No tags found - return ("INVALID", "NO_TAGS") - - def _compute_reward(self, env_reward: float) -> float: - """Compute final reward.""" - if env_reward > 0: # Win - return 3.0 - else: # Loss or push - return -1.0 - - def close(self): - """Clean up.""" - self.client.close() - - -# ============================================================================ -# Rollout Functions (from v5) -# ============================================================================ - - -async def do_single_rollout( - env: BlackjackEnv, - policy, - tokenizer, - max_seq_len: int, - max_turns: int, - messages: list[dict], - game_id: str | None = None, -) -> Episode: - """ - Play one game and return one Episode. - - Uses TokenAccumulator for efficient multi-turn token management with BASE anchor pattern. - - Args: - env: BlackjackEnv instance - policy: Policy for generation - tokenizer: Tokenizer with apply_chat_template - max_seq_len: Maximum tokens for full conversation - max_turns: Maximum game turns - messages: Initial messages (e.g., [{"role": "system", "content": "..."}]) - game_id: Optional game ID - - Returns: - Episode with accumulated tokens, masks, and logprobs - """ - - if game_id is None: - game_id = str(uuid.uuid4()) - - # Initialize TokenAccumulator with BASE anchor pattern - accumulator = TokenAccumulator( - tokenizer=tokenizer, - messages=messages, - max_len=max_seq_len, - eos_id=tokenizer.eos_token_id, - validation=ValidationMode.OFF, - thinking=False, - ) - - try: - # ============ Reset environment ============ - initial_obs = env.reset() - accumulator.add_user(initial_obs) - - # ============ Multi-turn loop ============ - final_reward = 0.0 - turn_num = 0 - game_done = False - policy_version = 0 - - while not game_done and turn_num < max_turns: - # Check budget - remaining = accumulator.budget - - if remaining <= 0: - break - - # Format prompt - prompt = accumulator.format_prompt() - - # ============ Generate ============ - # Create sampling params with remaining budget to prevent exceeding max_seq_len - sampling_params = SamplingParams(max_tokens=remaining) - responses = await policy.generate.route( - prompt, sampling_params=sampling_params - ) - response = responses[0] - - policy_version = response.generator_version - - # Extract logprobs from response - response_logprobs = ( - response.logprobs if hasattr(response, "logprobs") else None - ) - - # ============ Add assistant response ============ - response_text = response.text - - response_token_ids_list = list( - response.token_ids - ) # Explicitly convert to list - - success = accumulator.add_assistant( - text=response_text, - token_ids=response_token_ids_list, - logprobs=response_logprobs, - ) - - # If generation truncated, break - if not success: - break - - # ============ Step environment ============ - result = env.step(action_text=response.text) - final_reward = result.reward - game_done = result.done - turn_num += 1 - - # ============ Add environment observation ============ - if not result.done: - obs_text = result.observation["content"] - success = accumulator.add_user(obs_text) - - # If env obs would exceed budget, break - if not success: - break - - # Check if hit max_turns - just for metadata, accumulator tracks token truncation - hit_max_turns = turn_num >= max_turns and not game_done - - # ============ Get validated episode data ============ - episode_data = accumulator.get_data() - - # Record metrics once at the end - if episode_data.truncation_reason: - record_metric( - f"episode/truncated_{episode_data.truncation_reason}", - 1, - Reduce.SUM, - ) - record_metric("episode/total_tokens", len(episode_data.token_ids), Reduce.MEAN) - record_metric("episode/turns", turn_num, Reduce.MEAN) - - # ============ Create episode ============ - # Create loss_mask by shifting response_mask using torch.roll - loss_mask_tensor = torch.roll( - episode_data.response_mask, shifts=-1, dims=0 - ).float() - loss_mask_tensor[-1] = 0.0 # Last position should not train - - return Episode( - episode_id=game_id, - task_name="blackjack", - policy_version=policy_version, - is_truncated=episode_data.is_truncated, - all_token_ids=episode_data.token_ids, - response_mask=episode_data.response_mask, - loss_mask=loss_mask_tensor, - reward=final_reward, - logprobs=episode_data.logprobs, - message_log=accumulator.messages.copy(), - metadata={ - "truncation_reason": episode_data.truncation_reason, - "hit_max_turns": hit_max_turns, - "num_turns": turn_num, - "num_trainable_tokens": episode_data.response_mask.sum().item(), - **(result.metadata if "result" in locals() else {}), - }, - ) - - finally: - env.close() - - -async def do_group_rollout( - envs: list[BlackjackEnv], - policy, - tokenizer, - max_seq_len: int, - max_turns: int, - messages: list[dict], -) -> list[Episode]: - """ - Rollout multiple games in parallel. - - Args: - envs: List of N BlackjackEnv instances - policy: Policy for generation - tokenizer: Tokenizer for chat template - max_seq_len: Episode-level token budget - max_turns: Max turns per game - messages: Initial messages for all games (e.g., [{"role": "system", ...}]) - - Returns: - List of N Episodes - """ - tasks = [ - do_single_rollout( - env=envs[i], - policy=policy, - tokenizer=tokenizer, - max_seq_len=max_seq_len, - max_turns=max_turns, - messages=messages, - game_id=f"game_{i}_{uuid.uuid4().hex[:8]}", - ) - for i in range(len(envs)) - ] - - episodes = await asyncio.gather(*tasks) - return list(episodes) - - -# ============================================================================ -# Helper Actors (from main.py) -# ============================================================================ - - -@dataclass -class ComputeAdvantages(ForgeActor): - """Compute advantages for a group of episodes.""" - - @endpoint - async def compute(self, group: list[Episode]) -> list[float]: - """Compute advantages using reward standardization.""" - rewards = torch.tensor([[e.reward for e in group]]) - mean = rewards.mean(1, keepdim=True) - std = rewards.std(1, keepdim=True) - advantages = (rewards - mean) / (std + 1e-4) - return advantages.squeeze(0).tolist() - - -@dataclass -class EnvironmentActor(ForgeActor): - """Actor that manages tokenizer access.""" - - model: str = "Qwen/Qwen3-1.7B" - - @endpoint - def setup(self): - self._tokenizer = get_tokenizer(self.model) - - @endpoint - async def get_tokenizer(self): - return self._tokenizer - - @endpoint - async def pad_token(self): - # Use pad_token_id if available, otherwise use eos_token_id - if self._tokenizer.pad_token_id is not None: - return self._tokenizer.pad_token_id - else: - return self._tokenizer.eos_token_id - - -# ============================================================================ -# Training Functions (from main.py) -# ============================================================================ - - -def collate( - batches: list[list[Episode]], - pad_id: int, -) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: - """ - Collates a list of batches (groups) into inputs and targets. - - Args: - batches: List of groups, where each group is a list of Episodes - pad_id: Padding token ID from tokenizer - - Returns: - (inputs, targets) for training - """ - inputs = [] - targets = [] - - for batch in batches: - # Stack all tensors (pad to max length in batch) - all_tokens = [e.all_token_ids for e in batch] - all_tokens = torch.nn.utils.rnn.pad_sequence( - all_tokens, batch_first=True, padding_value=pad_id - ) - - loss_masks = [e.loss_mask for e in batch] - loss_masks = torch.nn.utils.rnn.pad_sequence( - loss_masks, batch_first=True, padding_value=0.0 - ) - - ref_logprobs = [e.ref_logprobs for e in batch] - ref_logprobs = torch.nn.utils.rnn.pad_sequence( - ref_logprobs, batch_first=True, padding_value=0.0 - ) - - advantages = torch.tensor([e.advantage for e in batch]).unsqueeze(-1) # [b, 1] - - # Create input and target dicts - input = {"tokens": all_tokens} - target = { - "input_ids": all_tokens, # For torch.roll in loss - "loss_mask": loss_masks, # Trainable positions - "ref_logprobs": ref_logprobs, - "advantages": advantages, - } - - inputs.append(input) - targets.append(target) - - return inputs, targets - - -def simple_grpo_loss( - logits: torch.Tensor, # [b, seq_len, vocab] - input_ids: torch.Tensor, # [b, seq_len] - loss_mask: torch.Tensor, # [b, seq_len] float - ref_logprobs: torch.Tensor, # [b, seq_len] - advantages: torch.Tensor, # [b, 1] - beta: float = 0.1, -) -> torch.Tensor: - """ - GRPO loss with proper next-token prediction using torch.roll. - - Per-sequence normalization: Each sequence's loss is averaged by its own - trainable token count, then averaged across the batch. - - Args: - logits: Model logits [b, seq_len, vocab_size] - input_ids: Input token IDs [b, seq_len] - loss_mask: Loss mask [b, seq_len] - 1.0 for trainable positions - ref_logprobs: Reference logprobs [b, seq_len] - advantages: Advantages [b, 1] - beta: KL penalty coefficient - - Returns: - Loss scalar - """ - # Create targets using utility function - targets = create_shifted_targets(input_ids, loss_mask) # [b, seq_len] - - # Compute policy logprobs (ignore_index automatically zeros masked positions) - logprobs = compute_logprobs( - logits, targets, ignore_index=CROSS_ENTROPY_IGNORE_IDX - ) # [b, seq_len] - masked positions already 0.0! - - # ======================================================================== - # LOGGING: Input validation - # ======================================================================== - record_metric("loss_debug/batch_size", float(input_ids.shape[0]), Reduce.MEAN) - record_metric("loss_debug/seq_len", float(input_ids.shape[1]), Reduce.MEAN) - record_metric( - "loss_debug/num_trainable_tokens", loss_mask.sum().item(), Reduce.MEAN - ) - record_metric("loss_debug/targets_min", targets.float().min().item(), Reduce.MEAN) - record_metric("loss_debug/targets_max", targets.float().max().item(), Reduce.MEAN) - - # ======================================================================== - # LOGGING: Logprobs statistics - # ======================================================================== - # Mask logprobs for stats (only look at trainable positions) - masked_logprobs = logprobs * loss_mask - masked_ref_logprobs = ref_logprobs * loss_mask - num_trainable = loss_mask.sum().clamp(min=1.0) - - record_metric( - "loss_debug/logprobs_mean", - (masked_logprobs.sum() / num_trainable).item(), - Reduce.MEAN, - ) - record_metric( - "loss_debug/logprobs_min", - logprobs[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0, - Reduce.MEAN, - ) - record_metric( - "loss_debug/logprobs_max", - logprobs[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0, - Reduce.MEAN, - ) - record_metric( - "loss_debug/logprobs_std", - logprobs[loss_mask.bool()].std().item() if num_trainable > 0 else 0.0, - Reduce.MEAN, - ) - - record_metric( - "loss_debug/ref_logprobs_mean", - (masked_ref_logprobs.sum() / num_trainable).item(), - Reduce.MEAN, - ) - record_metric( - "loss_debug/ref_logprobs_min", - ref_logprobs[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0, - Reduce.MEAN, - ) - record_metric( - "loss_debug/ref_logprobs_max", - ref_logprobs[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0, - Reduce.MEAN, - ) - record_metric( - "loss_debug/ref_logprobs_std", - ref_logprobs[loss_mask.bool()].std().item() if num_trainable > 0 else 0.0, - Reduce.MEAN, - ) - - # Logprob difference - logprob_diff = ref_logprobs - logprobs - masked_logprob_diff = logprob_diff * loss_mask - record_metric( - "loss_debug/logprob_diff_mean", - (masked_logprob_diff.sum() / num_trainable).item(), - Reduce.MEAN, - ) - record_metric( - "loss_debug/logprob_diff_min", - logprob_diff[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0, - Reduce.MEAN, - ) - record_metric( - "loss_debug/logprob_diff_max", - logprob_diff[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0, - Reduce.MEAN, - ) - - # KL divergence (masked positions are 0.0, so they don't contribute) - # Following VERL's approach: clip log difference before exp for numerical stability - # See: verl/trainer/ppo/core_algos.py kl_penalty_forward() - logprob_diff_clipped = torch.clamp(logprob_diff, min=-20.0, max=20.0) - kl = torch.exp(logprob_diff_clipped) - logprob_diff_clipped - 1 - # Clip final KL to prevent extreme values - kl = torch.clamp(kl, min=-10.0, max=10.0) - - # ======================================================================== - # LOGGING: KL divergence statistics - # ======================================================================== - masked_kl = kl * loss_mask - record_metric( - "loss_debug/kl_mean", (masked_kl.sum() / num_trainable).item(), Reduce.MEAN - ) - record_metric( - "loss_debug/kl_min", - kl[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0, - Reduce.MEAN, - ) - record_metric( - "loss_debug/kl_max", - kl[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0, - Reduce.MEAN, - ) - record_metric( - "loss_debug/kl_std", - kl[loss_mask.bool()].std().item() if num_trainable > 0 else 0.0, - Reduce.MEAN, - ) - record_metric( - "loss_debug/beta_times_kl_mean", - (beta * masked_kl.sum() / num_trainable).item(), - Reduce.MEAN, - ) - - # ======================================================================== - # LOGGING: Advantages statistics - # ======================================================================== - record_metric("loss_debug/advantages_mean", advantages.mean().item(), Reduce.MEAN) - record_metric("loss_debug/advantages_min", advantages.min().item(), Reduce.MEAN) - record_metric("loss_debug/advantages_max", advantages.max().item(), Reduce.MEAN) - record_metric("loss_debug/advantages_std", advantages.std().item(), Reduce.MEAN) - - # Policy loss - per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages - per_token_loss = -(per_token_policy_loss - beta * kl) # [b, seq_len] - - # ======================================================================== - # LOGGING: Per-token loss statistics - # ======================================================================== - masked_policy_loss = per_token_policy_loss * loss_mask - masked_per_token_loss = per_token_loss * loss_mask - - record_metric( - "loss_debug/policy_loss_mean", - (masked_policy_loss.sum() / num_trainable).item(), - Reduce.MEAN, - ) - record_metric( - "loss_debug/policy_loss_min", - ( - per_token_policy_loss[loss_mask.bool()].min().item() - if num_trainable > 0 - else 0.0 - ), - Reduce.MEAN, - ) - record_metric( - "loss_debug/policy_loss_max", - ( - per_token_policy_loss[loss_mask.bool()].max().item() - if num_trainable > 0 - else 0.0 - ), - Reduce.MEAN, - ) - - record_metric( - "loss_debug/per_token_loss_mean", - (masked_per_token_loss.sum() / num_trainable).item(), - Reduce.MEAN, - ) - record_metric( - "loss_debug/per_token_loss_min", - per_token_loss[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0, - Reduce.MEAN, - ) - record_metric( - "loss_debug/per_token_loss_max", - per_token_loss[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0, - Reduce.MEAN, - ) - - # Masked average (per sample, then batch average) - loss = ( - (per_token_loss * loss_mask).sum(dim=1) / loss_mask.sum(dim=1).clamp(min=1.0) - ).mean() - - # ======================================================================== - # LOGGING: Final loss - # ======================================================================== - record_metric("loss_debug/final_loss", loss.item(), Reduce.MEAN) - - # ======================================================================== - # EMERGENCY DUMP: If any value is huge, save tensors to file - # ======================================================================== - huge_threshold = 1000.0 - all_stats = [ - ("logprobs_mean", (masked_logprobs.sum() / num_trainable).item()), - ("ref_logprobs_mean", (masked_ref_logprobs.sum() / num_trainable).item()), - ("kl_mean", (masked_kl.sum() / num_trainable).item()), - ("kl_max", kl[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0), - ("advantages_mean", advantages.mean().item()), - ("advantages_max", advantages.max().item()), - ("policy_loss_mean", (masked_policy_loss.sum() / num_trainable).item()), - ( - "policy_loss_max", - ( - per_token_policy_loss[loss_mask.bool()].max().item() - if num_trainable > 0 - else 0.0 - ), - ), - ("per_token_loss_mean", (masked_per_token_loss.sum() / num_trainable).item()), - ( - "per_token_loss_max", - per_token_loss[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0, - ), - ("final_loss", loss.item()), - ] - - for name, value in all_stats: - if abs(value) > huge_threshold: - # Save all tensors to file for debugging - import datetime - - timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S") - dump_file = f"/tmp/grpo_loss_debug_{timestamp}.pt" - torch.save( - { - "logits": logits.cpu(), - "input_ids": input_ids.cpu(), - "targets": targets.cpu(), - "loss_mask": loss_mask.cpu(), - "logprobs": logprobs.cpu(), - "ref_logprobs": ref_logprobs.cpu(), - "advantages": advantages.cpu(), - "kl": kl.cpu(), - "per_token_policy_loss": per_token_policy_loss.cpu(), - "per_token_loss": per_token_loss.cpu(), - "loss": loss.cpu(), - "beta": beta, - "trigger_stat": name, - "trigger_value": value, - }, - dump_file, - ) - print(f"\n{'='*80}") - print(f"⚠️ HUGE VALUE DETECTED: {name} = {value:.2f}") - print(f"Dumped all tensors to: {dump_file}") - print(f"{'='*80}\n") - break # Only dump once - - return loss - - -async def drop_weights(version: int): - """Drop old weights from torchstore.""" - print(f"Dropping weights @ version {version}") - start_time = time.perf_counter() - prefix = get_param_prefix(version) - matching_keys = await ts.keys(prefix) - dcp_key = get_dcp_whole_state_dict_key(version) - if dcp_key in matching_keys: - dcp_handle = await ts.get(dcp_key) - dcp_handle.drop() - for key in matching_keys: - await ts.delete(key) - elapsed = time.perf_counter() - start_time - print(f"Dropped weights @ version {version}, took {elapsed:.2f} seconds") - - -# ============================================================================ -# Main Training Loop -# ============================================================================ - - -async def main(cfg: DictConfig): - """Main GRPO training loop with rollout and training processes.""" - - # ---- Start Multiple OpenSpiel Servers (one per rollout thread) ---- # - game_name = cfg.blackjack_env.game_name - base_server_port = cfg.blackjack_env.server_port - num_rollout_threads = cfg.get("rollout_threads", 1) - - # Start one server per rollout thread to avoid race conditions - server_processes = [] - server_ports = [] - - for i in range(num_rollout_threads): - server_port = base_server_port + i - server_ports.append(server_port) - - # Clean up any existing server on this port - if kill_process_on_port(server_port): - print(f"Cleaned up existing server on port {server_port}") - - print( - f"Starting OpenSpiel server {i} for game '{game_name}' on port {server_port}..." - ) - server_process = multiprocessing.Process( - target=start_openspiel_server, args=(game_name, server_port) - ) - server_process.start() - server_processes.append(server_process) - - # Wait for all servers to be ready - print(f"Waiting for {num_rollout_threads} OpenSpiel servers to be ready...") - all_ready = True - for i, server_port in enumerate(server_ports): - server_ready = False - for attempt in range(30): # Try for 30 seconds per server - if not server_processes[i].is_alive(): - print(f"[ERROR] Server {i} process died unexpectedly!") - print(f"[ERROR] Exit code: {server_processes[i].exitcode}") - all_ready = False - break - - try: - resp = requests.get( - f"http://localhost:{server_port}/health", - timeout=1, - proxies={"http": None, "https": None}, - ) - if resp.status_code == 200: - server_ready = True - print( - f"✓ OpenSpiel server {i} ready on port {server_port} (took {attempt+1}s)" - ) - break - except Exception as e: - if attempt == 0: - print( - f"[DEBUG] Server {i} health check attempt {attempt+1} failed: {type(e).__name__}" - ) - time.sleep(1) - - if not server_ready: - print(f"[ERROR] Server {i} never became ready on port {server_port}") - all_ready = False - break - - if not all_ready: - # Clean up all servers and exit - for process in server_processes: - process.terminate() - raise RuntimeError("Failed to start all OpenSpiel servers") - - # ---- Global setups ---- # - provisioner = None - if cfg.get("provisioner", None) is not None: - provisioner = await init_provisioner( - ProvisionerConfig(launcher_config=LauncherConfig(**cfg.provisioner)) - ) - else: - provisioner = await init_provisioner() - - metric_logging_cfg = cfg.metric_logging - mlogger = await get_or_create_metric_logger(process_name="Controller") - await mlogger.init_backends.call_one(metric_logging_cfg) - - # ---- Setup services ---- # - env_actor_config = { - "model": cfg.blackjack_env.model, - } - - # First, initialize env_actor to get pad_id - env_actor = await EnvironmentActor.options(**cfg.actors.blackjack_env).as_actor( - **env_actor_config - ) - pad_id = await env_actor.pad_token.call_one() - - # Create collate function with pad_id - collate_fn = partial(collate, pad_id=pad_id) - - # Now initialize remaining services - ( - policy, - trainer, - replay_buffer, - compute_advantages, - ref_model, - ) = await asyncio.gather( - Generator.options(**cfg.services.policy).as_service(**cfg.policy), - TitanTrainer.options(**cfg.actors.trainer).as_actor( - **cfg.trainer, loss=simple_grpo_loss - ), - ReplayBuffer.options(**cfg.actors.replay_buffer).as_actor( - **cfg.replay_buffer, collate=collate_fn - ), - ComputeAdvantages.options(**cfg.actors.compute_advantages).as_actor(), - ReferenceModel.options(**cfg.services.ref_model).as_service(**cfg.ref_model), - ) - - max_steps = cfg.trainer.training.steps or -1 - - print("All services initialized successfully!") - shutdown_event = asyncio.Event() - - # Initialize torchstore - trainer_num_procs = cfg.actors.trainer["procs"] - trainer_host_mesh_name = cfg.actors.trainer["mesh_name"] - trainer_hosts = provisioner.get_host_mesh(trainer_host_mesh_name) - await ts.initialize( - mesh=trainer_hosts.spawn_procs(per_host={"procs": trainer_num_procs}), - strategy=ts.LocalRankStrategy(), - ) - print("Torchstore successfully initialized with local rank strategy") - - # ---- Warmup policy ---- # - print("Warming up policy with test generation...") - test_prompt = "Test prompt to warm up the model." - try: - test_response = await asyncio.wait_for( - policy.generate.route(test_prompt), timeout=120.0 - ) - print(f"✓ Policy ready, test response: '{test_response[0].text[:50]}...'") - except asyncio.TimeoutError: - raise RuntimeError("Policy warmup timed out after 120s") - except Exception as e: - raise RuntimeError(f"Policy warmup failed: {e}") - - # ---- Test OpenSpiel servers ---- # - print("Testing OpenSpiel server connections...") - for i, server_port in enumerate(server_ports): - test_url = f"http://localhost:{server_port}" - test_env = OpenSpielEnv(base_url=test_url) - test_env._http.trust_env = False - try: - test_result = test_env.reset() - print( - f"✓ Server {i} test successful (port {server_port}), legal_actions={test_result.observation.legal_actions}" - ) - test_env.close() - except Exception as e: - print(f"[ERROR] Server {i} test failed: {type(e).__name__}: {e}") - import traceback - - traceback.print_exc() - # Clean up all servers - for process in server_processes: - process.terminate() - raise RuntimeError(f"OpenSpiel server {i} test failed: {e}") - - # ---- Core RL loops ---- # - async def continuous_rollouts(thread_id: int): - """Main GRPO rollout loop using new architecture.""" - rollout_count = 0 - pad_id = await env_actor.pad_token.call_one() - tokenizer = await env_actor.get_tokenizer.call_one() - - # Config - use dedicated server for this thread - server_url = f"http://localhost:{server_ports[thread_id]}" - max_seq_len = cfg.blackjack_env.max_seq_len - max_turns = cfg.blackjack_env.max_turns - group_size = cfg.group_size - - print(f"[Thread {thread_id}] Using server at {server_url}") - - # Initial messages - initial_messages = [ - { - "role": "system", - "content": """You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND""", - } - ] - - while not shutdown_event.is_set(): - t = Tracer("main_perf/continuous_rollouts") - t.start() - - # ============ Step 1: Create environments ============ - # Run games SEQUENTIALLY to avoid race conditions on shared server - # (each thread has its own server, but games within a thread share it) - - # ============ Step 2: Rollout group (SEQUENTIALLY) ============ - episodes = [] - for i in range(group_size): - env = BlackjackEnv(server_url=server_url) - game_id = f"game_{i}_{uuid.uuid4().hex[:8]}" - - episode = await do_single_rollout( - env=env, - policy=policy, - tokenizer=tokenizer, - max_seq_len=max_seq_len, - max_turns=max_turns, - messages=initial_messages, - game_id=game_id, - ) - episodes.append(episode) - - t.step("play_games") - - # ============ Debug: Print first episode ============ - if episodes: - ep = episodes[0] - print(f"\n{'='*80}") - print(f"[ROLLOUT {rollout_count}] Episode 0 Debug Info") - print(f"{'='*80}") - print( - f"Reward: {ep.reward}, Truncated: {ep.is_truncated}, Turns: {ep.metadata.get('num_turns', '?')}" - ) - print( - f"Total tokens: {len(ep.all_token_ids)}, Trainable tokens: {ep.response_mask.sum().item()}" - ) - print(f"\n--- Messages ---") - for i, msg in enumerate(ep.message_log): - content_preview = ( - msg["content"][:100] + "..." - if len(msg["content"]) > 100 - else msg["content"] - ) - print(f" [{i}] {msg['role']:10s}: {content_preview}") - print(f"\n--- Decoded all_token_ids ---") - decoded_text = tokenizer.decode(ep.all_token_ids.tolist()) - print(decoded_text) - - print(f"{'='*80}\n") - print(f"\n--- decoded_response_text ---") - decoded_response_text = tokenizer.decode( - ep.all_token_ids[ep.response_mask].tolist() - ) - print(decoded_response_text) - print(f"{'='*80}\n") - - # ============ Step 3: Filter groups (constant rewards) ============ - rewards = [e.reward for e in episodes] - if len(set(rewards)) == 1: - print( - f"[ROLLOUT {rollout_count}] ⚠️ DROPPED GROUP - All {len(episodes)} episodes have same reward: {rewards[0]}" - ) - record_metric("groups/rate_dropped", 1, Reduce.MEAN) - rollout_count += 1 - t.stop() - continue - record_metric("groups/rate_dropped", 0, Reduce.MEAN) - - # ============ Step 4: Compute ref_model ============ - max_len = max(len(e.all_token_ids) for e in episodes) - - # Pad input_ids and loss_masks - padded_input_ids = [] - padded_loss_masks = [] - - for i, e in enumerate(episodes): - seq_len = len(e.all_token_ids) - pad_len = max_len - seq_len - - # Pad tokens - padded_tokens = F.pad(e.all_token_ids, (0, pad_len), value=pad_id) - padded_input_ids.append(padded_tokens) - - # Pad loss_mask - padded_mask = F.pad(e.loss_mask, (0, pad_len), value=0.0) - padded_loss_masks.append(padded_mask) - - input_ids = torch.stack(padded_input_ids) # [batch, max_len] - loss_mask_batch = torch.stack(padded_loss_masks) # [batch, max_len] - - # Call ref_model with loss_mask - returns [batch, max_len] - ref_logprobs_padded = await ref_model.forward.route( - input_ids, return_logprobs=True, loss_mask=loss_mask_batch - ) - - t.step("reference_model_calculate_logprobs") - - # Assign ref_logprobs to episodes (unpad to original length) - for i, episode in enumerate(episodes): - seq_len = len(episode.all_token_ids) - episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] # [seq_len] - # Verify shape matches other tensors - assert ( - episode.ref_logprobs.shape - == episode.loss_mask.shape - == episode.all_token_ids.shape - ), f"Shape mismatch in episode {i}" - - del ref_logprobs_padded, input_ids, loss_mask_batch - - # ============ Step 5: Compute advantages ============ - advantages = await compute_advantages.compute.call_one(episodes) - for episode, advantage in zip(episodes, advantages): - episode.advantage = advantage - - # ============ Step 6: Episode-level acceptance ============ - accepted = [] - for episode in episodes: - if episode.is_truncated and not cfg.accept_truncated: - record_metric("buffer/rate_rejected_truncated", 1, Reduce.MEAN) - else: - record_metric("buffer/rate_rejected_truncated", 0, Reduce.MEAN) - accepted.append(episode) - - # ============ Step 7: Add to buffer ============ - for episode in accepted: - await replay_buffer.add.call_one(episode) - - record_metric("buffer/episodes_accepted", len(accepted), Reduce.SUM) - record_metric("buffer/episodes_generated", len(episodes), Reduce.SUM) - record_metric( - "buffer/acceptance_rate", - len(accepted) / len(episodes) if episodes else 0, - Reduce.MEAN, - ) - - # Log buffer additions - if accepted: - print( - f"[BUFFER ADD] Added {len(accepted)}/{len(episodes)} episodes with policy_v={accepted[0].policy_version}" - ) - - rollout_count += 1 - record_metric( - "main/continuous_rollouts/count_rollout_iterations", 1, Reduce.SUM - ) - t.stop() - - async def continuous_training(): - """Training loop.""" - training_step = 0 - restart_tracer = True - - while max_steps == -1 or training_step < max_steps: - if restart_tracer: - t = Tracer("main_perf/continuous_training") - t.start() - restart_tracer = False - - batch = await replay_buffer.sample.call_one( - curr_policy_version=training_step - ) - if batch is None: - # Log only when stuck after initial training - if training_step > 2 and training_step % 5 == 0: - print( - f"[TRAINING] Step {training_step}: Waiting for buffer to have enough data..." - ) - await asyncio.sleep(1.0) - else: - t.step("waiting_for_buffer") - print(f"[TRAINING] Step {training_step}: Starting training") - - inputs, targets = batch - await trainer.train_step.call(inputs, targets) - training_step += 1 - t.step("train_step") - - await trainer.push_weights.call(training_step) - t.step("push_weights") - - await policy.update_weights.fanout(training_step) - t.step("update_weights") - - if training_step >= 2: - await drop_weights(training_step - 1) - t.step("drop_weights") - - t.stop() - restart_tracer = True - - # Flush metrics every training step - await mlogger.flush.call_one(training_step) - - print( - f"Reached training limit ({max_steps} steps). Exiting continuous_training loop." - ) - - num_rollout_threads = cfg.rollout_threads - print(f"Starting GRPO with {num_rollout_threads} rollout threads") - rollout_tasks = [ - asyncio.create_task(continuous_rollouts(thread_id=i)) - for i in range(num_rollout_threads) - ] - training_task = asyncio.create_task(continuous_training()) - - try: - await training_task - except KeyboardInterrupt: - print("Training interrupted by user") - finally: - print("Shutting down... (this may take a few seconds)") - shutdown_event.set() - - # Cancel rollout tasks - try: - await asyncio.wait_for( - asyncio.gather(*rollout_tasks, return_exceptions=True), - timeout=5, - ) - except asyncio.TimeoutError: - print("Timeout waiting for rollouts; forcing cancellation...") - for t in rollout_tasks: - t.cancel() - await asyncio.gather(*rollout_tasks, return_exceptions=True) - - # Cancel training task - training_task.cancel() - try: - await asyncio.wait_for(training_task, timeout=2) - except (asyncio.CancelledError, asyncio.TimeoutError): - pass - - # Shutdown forge actors/services - print("Shutting down Forge actors...") - try: - await asyncio.wait_for(shutdown(), timeout=10) - print("✓ Forge actors shut down") - except asyncio.TimeoutError: - print("⚠ Forge shutdown timed out after 10s, forcing exit...") - - # Shutdown OpenSpiel servers - print(f"Stopping {len(server_processes)} OpenSpiel servers...") - for i, server_process in enumerate(server_processes): - server_process.terminate() - server_process.join(timeout=2) - if server_process.is_alive(): - print(f"⚠ Server {i} didn't stop gracefully, killing...") - server_process.kill() - server_process.join(timeout=1) - print("✓ All OpenSpiel servers stopped") - - -if __name__ == "__main__": - - @parse - def _main(cfg): - asyncio.run(main(cfg)) - - _main() # @parse grabs the cfg from CLI diff --git a/apps/blackjack/openenv_patch/README.md b/apps/blackjack/openenv_patch/README.md new file mode 100644 index 000000000..a444afbc1 --- /dev/null +++ b/apps/blackjack/openenv_patch/README.md @@ -0,0 +1,65 @@ +# Blackjack RL Training + +## Setup + +```bash +# Clone and install OpenEnv +git clone git@github.com:meta-pytorch/OpenEnv.git +cd OpenEnv +pip install -e . + +# Apply blackjack modifications +python ../forge/apps/blackjack/openenv_patch/apply_patch.py + +# Run training +cd ../forge +python -m apps.blackjack.main --config apps/blackjack/qwen3_1_7b.yaml +``` + +## What gets changed in OpenEnv + +### 1. Enable metadata passthrough (`src/core/env_server/http_server.py`) + +```python +# Before: +obs_dict.pop("metadata", None) # Remove metadata from observation + +# After: +# obs_dict.pop("metadata", None) # Remove metadata from observation +``` + +### 2. Extract blackjack game state (`src/envs/openspiel_env/server/openspiel_environment.py`) + +```python +# Add this after line 252 (before creating OpenSpielObservation): + +# Extract game-specific metadata for blackjack +metadata = {} +if self.game_name == "blackjack" and not time_step.last(): + try: + state = self._ospiel_env.get_state + if hasattr(state, "get_best_player_total"): + metadata["player_total"] = state.get_best_player_total( + self.agent_player + ) + if hasattr(state, "dealers_visible_card"): + dealer_card_idx = state.dealers_visible_card() + rank = dealer_card_idx % 13 + if rank == 0: + dealer_value = 1 # Ace + elif rank <= 9: + dealer_value = rank + 1 # 2-10 + else: + dealer_value = 10 # Jack, Queen, King + metadata["dealer_card"] = dealer_value + except Exception: + pass + +# Then update OpenSpielObservation creation: +obs = OpenSpielObservation( + ..., + metadata=metadata, # Add this line +) +``` + +This allows observations like `"Hand: 17, Dealer: Ace"` instead of raw state vectors. diff --git a/apps/blackjack/openenv_patch/apply_patch.py b/apps/blackjack/openenv_patch/apply_patch.py new file mode 100755 index 000000000..17fe51661 --- /dev/null +++ b/apps/blackjack/openenv_patch/apply_patch.py @@ -0,0 +1,39 @@ +#!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +"""Apply OpenEnv modifications for blackjack training.""" + +import subprocess +import sys +from pathlib import Path + + +def main(): + # Get script directory + script_dir = Path(__file__).parent + patch_file = script_dir / "openenv_blackjack.patch" + + if not patch_file.exists(): + print(f"Error: Patch file not found at {patch_file}") + sys.exit(1) + + # Apply patch + try: + subprocess.run( + ["git", "apply", str(patch_file)], + check=True, + capture_output=True, + text=True, + ) + print("✓ Patch applied successfully") + except subprocess.CalledProcessError as e: + print(f"Error applying patch: {e.stderr}") + sys.exit(1) + + +if __name__ == "__main__": + main() diff --git a/apps/blackjack/openenv_patch/openenv_blackjack.patch b/apps/blackjack/openenv_patch/openenv_blackjack.patch new file mode 100644 index 000000000..3826ba474 --- /dev/null +++ b/apps/blackjack/openenv_patch/openenv_blackjack.patch @@ -0,0 +1,160 @@ +diff --git a/src/core/env_server/http_server.py b/src/core/env_server/http_server.py +index d18873f..31b99df 100644 +--- a/src/core/env_server/http_server.py ++++ b/src/core/env_server/http_server.py +@@ -17,9 +17,11 @@ import os + from dataclasses import asdict + from typing import Any, Dict, Type + ++from fastapi import Body, FastAPI ++ + from .interfaces import Environment + from .types import Action, Observation +-from fastapi import Body, FastAPI ++ + + class HTTPEnvServer: + """ +@@ -107,7 +109,6 @@ class HTTPEnvServer: + """Health check endpoint.""" + return {"status": "healthy"} + +- + def _deserialize_action(self, action_data: Dict[str, Any]) -> Action: + """ + Convert JSON dict to Action instance. +@@ -150,7 +151,7 @@ class HTTPEnvServer: + # Extract reward and done (these are part of StepResult on client side) + reward = obs_dict.pop("reward", None) + done = obs_dict.pop("done", False) +- obs_dict.pop("metadata", None) # Remove metadata from observation ++ # obs_dict.pop("metadata", None) # Remove metadata from observation + + # Return in HTTPEnvClient expected format + return { +@@ -159,6 +160,7 @@ class HTTPEnvServer: + "done": done, + } + ++ + def create_app( + env: Environment, + action_cls: Type[Action], +@@ -167,33 +169,36 @@ def create_app( + ) -> Any: + """ + Create a FastAPI application with or without web interface. +- ++ + This function creates a FastAPI app with the web interface enabled by default, + including README integration for better user experience. +- ++ + Args: + env: The Environment instance to serve + action_cls: The Action subclass this environment expects + observation_cls: The Observation subclass this environment returns + env_name: Optional environment name for README loading +- ++ + Returns: + FastAPI application instance with or without web interface and README integration + """ + # Check if web interface should be enabled + # This can be controlled via environment variable or build argument +- enable_web = ( +- os.getenv("ENABLE_WEB_INTERFACE", "false").lower() in ("true", "1", "yes") ++ enable_web = os.getenv("ENABLE_WEB_INTERFACE", "false").lower() in ( ++ "true", ++ "1", ++ "yes", + ) + + if enable_web: + # Import web interface only when needed + from .web_interface import create_web_interface_app ++ + return create_web_interface_app(env, action_cls, observation_cls, env_name) + else: + # Use standard FastAPI app without web interface + return create_fastapi_app(env, action_cls, observation_cls) +- ++ + + def create_fastapi_app( + env: Environment, +diff --git a/src/envs/openspiel_env/server/openspiel_environment.py b/src/envs/openspiel_env/server/openspiel_environment.py +index 481aefb..580ec81 100644 +--- a/src/envs/openspiel_env/server/openspiel_environment.py ++++ b/src/envs/openspiel_env/server/openspiel_environment.py +@@ -21,8 +21,8 @@ from .opponent_policies import get_opponent_policy, OpponentPolicy + + # Import OpenSpiel + try: +- from open_spiel.python import rl_environment + import pyspiel ++ from open_spiel.python import rl_environment + except ImportError as e: + raise ImportError( + "OpenSpiel is not installed. " +@@ -73,9 +73,7 @@ class OpenSpielEnvironment(Environment): + + # Create OpenSpiel environment + try: +- self._ospiel_env = rl_environment.Environment( +- game_name, **self.game_params +- ) ++ self._ospiel_env = rl_environment.Environment(game_name, **self.game_params) + except Exception as e: + raise ValueError( + f"Failed to create OpenSpiel game '{game_name}': {e}" +@@ -252,15 +250,48 @@ class OpenSpielEnvironment(Environment): + if time_step.rewards is not None: + reward = float(time_step.rewards[self.agent_player]) + ++ # Extract game-specific metadata for blackjack ++ metadata = {} ++ if self.game_name == "blackjack" and not time_step.last(): ++ # Get underlying OpenSpiel state to access blackjack-specific methods ++ try: ++ state = self._ospiel_env.get_state # Property, not method - no () ++ if hasattr(state, "get_best_player_total"): ++ metadata["player_total"] = state.get_best_player_total( ++ self.agent_player ++ ) ++ if hasattr(state, "dealers_visible_card"): ++ dealer_card_idx = state.dealers_visible_card() ++ # Convert card index (0-51) to blackjack value (1-10) ++ # This matches the C++ CardValue() logic in blackjack.cc ++ # Cards are indexed from 0 to kDeckSize-1 (52 cards total) ++ # Rank = card_idx % 13, where 0=Ace, 1-9=2-10, 10=J, 11=Q, 12=K ++ rank = dealer_card_idx % 13 ++ if rank == 0: ++ dealer_value = 1 # Ace ++ elif rank <= 9: ++ dealer_value = rank + 1 # 2-10 ++ else: ++ dealer_value = 10 # Jack, Queen, King ++ metadata["dealer_card"] = dealer_value ++ except Exception: ++ # If extraction fails, continue without metadata ++ pass ++ + # Create observation + obs = OpenSpielObservation( +- info_state=info_state.tolist() if hasattr(info_state, "tolist") else list(info_state), ++ info_state=( ++ info_state.tolist() ++ if hasattr(info_state, "tolist") ++ else list(info_state) ++ ), + legal_actions=legal_actions, + game_phase=game_phase, + current_player_id=current_player_id, + opponent_last_action=self._last_opponent_action, + done=time_step.last(), + reward=reward, ++ metadata=metadata, + ) + + return obs diff --git a/apps/blackjack/token_accumulator.py b/apps/blackjack/token_accumulator.py new file mode 100644 index 000000000..249a84a68 --- /dev/null +++ b/apps/blackjack/token_accumulator.py @@ -0,0 +1,621 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the BSD-style license found in the +# LICENSE file in the root directory of this source tree. + +from dataclasses import dataclass +from enum import Enum +from typing import Optional + +import torch + + +class ValidationMode(Enum): + """Validation strictness.""" + + STRICT = "strict" # Raise on failures + WARN = "warn" # Print warnings + OFF = "off" # No validation + + +class TruncationReason(Enum): + """Truncation reason.""" + + USER_TOO_LONG = "user_too_long" + ASSISTANT_TOO_LONG = "assistant_too_long" + TOOL_TOO_LONG = "tool_too_long" + MAX_NUM_TURNS = "max_num_turns" + + +@dataclass +class EpisodeData: + """ + Episode data as tensors, ready for training. + + All tensors have shape (T,) where T is sequence length. + """ + + token_ids: torch.Tensor # dtype=long + response_mask: torch.Tensor # dtype=bool + logprobs: torch.Tensor # dtype=float + is_truncated: bool + truncation_reason: Optional[str] = None + + +class TokenAccumulator: + """ + Accumulate tokens for multi-turn RL episodes using vLLM tokens directly. + + ## Why Delta Tokenization? + + vLLM only returns assistant response tokens. We need the full conversation with + chat template tokens for training. We can't re-tokenize because it's expensive + and error-prone. + + **What we get from vLLM:** + ``` + response_tokens = [791, 19, 374, 220, 2] # ["The", "answer", "is", "4", ""] + ``` + + **What we need for training:** + ``` + [1, 2, 3] # ["You", "are", "helpful"] (not trainable) + [10, 11, 12, 13] # ["What", "is", "2+2", "?"] (not trainable) + [150, 123] # ["<|im_start|>", "assistant"] (not trainable) + [791, 19, 374, 220, 2] # ["The", "answer", "is", "4", eos] (TRAINABLE!) + [151] # ["<|im_end|>"] (not trainable, Qwen only) + ``` + + **Solution:** Use an anchor conversation [system, empty_user] that never changes. + Tokenize new messages against it and extract deltas. For assistant responses, + add generation prompt prefix and any model-specific suffix. + + ## Truncation Behavior + + - **add_user**: If truncated, adds partial message (truncated to fit budget) + - **add_assistant**: If truncated, DROPS entire response (nothing added) + - Once truncated, all subsequent adds will fail (return False) + + ## Usage + + ```python + acc = TokenAccumulator(tok, [{"role": "system", "content": "Help"}], 2048, eos_id=2) + + # Add messages + acc.add_user("What is 2+2?") + prompt = acc.format_prompt() + response = vllm_generate(prompt) + acc.add_assistant(response.text, response.token_ids, response.logprobs) + + # Show what will be trained on + acc.show_messages() + + # Get episode data as tensors + episode = acc.get_data() + # episode.token_ids: torch.Tensor (long) + # episode.response_mask: torch.Tensor (bool, True = trainable) + # episode.logprobs: torch.Tensor (float) + ``` + + Args: + tokenizer: HuggingFace tokenizer with apply_chat_template + messages: Initial messages (must include system message) + max_len: Maximum sequence length + eos_id: End-of-sequence token ID + thinking: Enable tags for Qwen models + validation: Validation mode (STRICT, WARN, OFF) + """ + + def __init__( + self, + tokenizer, + messages: list[dict], + max_len: int, + eos_id: int, + thinking: bool = True, + validation: ValidationMode = ValidationMode.STRICT, + ) -> None: + self._validate_init(tokenizer, messages, max_len, eos_id) + + self.tokenizer = tokenizer + self.max_len = max_len + self.eos_id = eos_id + self.thinking = thinking + self.validation = validation + + # State + self.messages: list[dict] = [] + self._tokens: list[int] = [] + self._mask: list[bool] = [] + self._logprobs: list[float] = [] + self.truncated: bool = False + self.truncation_reason: Optional[TruncationReason] = None + + # Track message boundaries for efficient validation + # Each entry: (end_idx, role, should_end_with_eos) + self._message_ends: list[tuple[int, str, bool]] = [] + + # Setup + self._setup_anchor(messages) + self._init_messages(messages) + + def __repr__(self) -> str: + status = f", truncated" if self.truncated else "" + return f"TokenAccumulator({len(self._tokens)}/{self.max_len}{status})" + + @property + def budget(self) -> int: + """Remaining token budget.""" + return max(0, self.max_len - len(self._tokens) - self.gen_prompt_len) + + def add_user(self, content: str) -> bool: + """ + Add user message. If truncated, adds partial message (truncated to fit). + + Returns: + True if not truncated, False if truncated + """ + if not isinstance(content, str): + raise TypeError(f"content must be str, got {type(content)}") + + msg = {"role": "user", "content": content} + + # Tokenize [system, user] and extract delta + full = self.tokenizer.apply_chat_template( + [self.anchor[0], msg], + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + # Extract user tokens by slicing off system prefix + tokens = full[self.sys_len :] + + if not tokens: + return True + + # Check budget + budget = self.budget + if budget <= 0: + self._mark_truncated(TruncationReason.USER_TOO_LONG) + return False + + # Truncate if needed (still adds partial) + was_truncated = len(tokens) > budget + if was_truncated: + tokens = tokens[:budget] + self._mark_truncated(TruncationReason.USER_TOO_LONG) + + self.messages.append(msg) + self._add_tokens(tokens, trainable=False, role="user", ends_with_eos=False) + + return not was_truncated + + def add_assistant( + self, text: str, token_ids: list[int], logprobs: Optional[list[float]] = None + ) -> bool: + """ + Add assistant response from vLLM. If truncated, DROPS entire response (nothing added). + + Args: + text: Response text (for message log) + token_ids: Token IDs from vLLM (must end with EOS) + logprobs: Log probabilities (optional) + + Returns: + False if truncated/invalid (response dropped), True if added successfully + """ + # Type validation + if not isinstance(text, str): + raise TypeError(f"text must be str, got {type(text)}") + if not isinstance(token_ids, list): + raise TypeError(f"token_ids must be list, got {type(token_ids)}") + + # Must have tokens and end with EOS + if not token_ids: + return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) + if token_ids[-1] != self.eos_id: + return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) + + # Check budget: generation_prompt + response + suffix + total_len = self.gen_prompt_len + len(token_ids) + len(self.suffix) + if total_len > self.budget: + return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) + + # Validate logprobs if provided + if logprobs is not None: + if not isinstance(logprobs, list): + raise TypeError(f"logprobs must be list or None") + if len(logprobs) != len(token_ids): + raise ValueError( + f"logprobs length mismatch: {len(logprobs)} != {len(token_ids)}" + ) + + self.messages.append({"role": "assistant", "content": text}) + + # Generation prompt (not trainable) + self._add_tokens( + self.gen_prompt_tokens, + trainable=False, + logprobs=[0.0] * len(self.gen_prompt_tokens), + role="assistant_prompt", + ends_with_eos=False, + ) + + # Response tokens (trainable) + self._add_tokens( + token_ids, + trainable=True, + logprobs=logprobs, + role="assistant", + ends_with_eos=True, + ) + + # Suffix if needed (not trainable) + if self.suffix: + self._add_tokens( + self.suffix, + trainable=False, + logprobs=[0.0] * len(self.suffix), + role="assistant_suffix", + ends_with_eos=False, + ) + + return True + + def format_prompt(self) -> str: + """Format conversation for vLLM generation.""" + return self.tokenizer.apply_chat_template( + self.messages, + add_generation_prompt=True, + tokenize=False, + enable_thinking=self.thinking, + ) + + def get_data(self) -> EpisodeData: + """ + Convert to tensors, validate, and return episode data. + + Returns: + EpisodeData with torch tensors + + Raises: + AssertionError/ValueError: If validation fails in STRICT mode + """ + # Convert to tensors + token_ids = torch.tensor(self._tokens, dtype=torch.long) + response_mask = torch.tensor(self._mask, dtype=torch.bool) + logprobs = torch.tensor(self._logprobs, dtype=torch.float) + + # Validate on tensors + if self.validation != ValidationMode.OFF: + self._validate(token_ids, response_mask, logprobs) + + return EpisodeData( + token_ids=token_ids, + response_mask=response_mask, + logprobs=logprobs, + is_truncated=self.truncated, + truncation_reason=( + self.truncation_reason.value if self.truncation_reason else None + ), + ) + + def show_messages(self, max_chars: int = 5000) -> None: + """ + Show token stream with trainability highlighted. + + Uses colored text runs for readability (similar to tinker-cookbook's format_colorized). + Groups consecutive tokens with same trainability and decodes together for proper + multi-byte character handling. + + Args: + max_chars: Maximum characters to show in decoded output (default: 5000) + """ + print("=" * 80) + print(f"TokenAccumulator: {len(self._tokens)}/{self.max_len} tokens") + trainable_count = sum(self._mask) + trainable_pct = 100 * trainable_count / len(self._tokens) if self._tokens else 0 + print( + f"Trainable: {trainable_count}/{len(self._tokens)} ({trainable_pct:.1f}%)" + ) + print("=" * 80) + + if not self._tokens: + print("(no tokens)") + print("=" * 80) + return + + # Show messages list + print("\nMessages:") + for i, msg in enumerate(self.messages): + role = msg["role"] + content = msg["content"] + preview = content[:100] + "..." if len(content) > 100 else content + print(f" [{i}] {role:10s} {preview!r}") + + # Show colorized token stream + print("\nToken stream:") + self._show_colorized_token_stream(max_chars) + + print("=" * 80) + + def _show_colorized_token_stream(self, max_chars: int) -> None: + """ + Show full token stream with color coding by trainability. + + Groups consecutive tokens with same trainability into "runs" and decodes + them together. This handles multi-byte characters correctly. + """ + chunks = [] + current_ids = [] + current_trainable = None + total_chars = 0 + + def flush_run(): + nonlocal total_chars + if not current_ids: + return + + # Decode entire run at once + decoded = self.tokenizer.decode(current_ids) + + # Check if we've exceeded max_chars + if total_chars >= max_chars: + return + + # Truncate if needed + if total_chars + len(decoded) > max_chars: + remaining = max_chars - total_chars + decoded = decoded[:remaining] + "..." + + total_chars += len(decoded) + + # Color based on trainability + if current_trainable: + color_code = "\033[92m" # Green for trainable + symbol = "✓" + else: + color_code = "\033[90m" # Gray for not trainable + symbol = "·" + + # Escape special characters for display + decoded_repr = repr(decoded)[1:-1] # Remove outer quotes + chunks.append(f"{color_code}{symbol} {decoded_repr}\033[0m") + + # Group tokens into runs + for i in range(len(self._tokens)): + trainable = self._mask[i] + + # Flush when trainability changes + if trainable != current_trainable and current_ids: + flush_run() + current_ids = [] + + current_ids.append(self._tokens[i]) + current_trainable = trainable + + # Flush final run + flush_run() + + # Print runs + if chunks: + print(" " + " ".join(chunks)) + + if total_chars >= max_chars: + print(f"\n (output truncated at {max_chars} chars)") + + def _show_colorized_tokens(self, start_idx: int, end_idx: int) -> None: + """ + DEPRECATED: Old method, kept for compatibility. + Use _show_colorized_token_stream instead. + """ + pass + + # Internal helpers + def _validate_init( + self, tokenizer, messages: list[dict], max_len: int, eos_id: int + ) -> None: + """Validate initialization parameters.""" + if not hasattr(tokenizer, "apply_chat_template"): + raise ValueError("Tokenizer must have apply_chat_template method") + if not messages: + raise ValueError("Must provide at least a system message") + if not isinstance(messages, list): + raise TypeError(f"messages must be list, got {type(messages)}") + for i, msg in enumerate(messages): + if not isinstance(msg, dict): + raise TypeError(f"Message {i} must be dict") + if "role" not in msg or "content" not in msg: + raise ValueError(f"Message {i} missing 'role' or 'content'") + if not isinstance(max_len, int) or max_len <= 0: + raise ValueError(f"max_len must be positive int, got {max_len}") + if not isinstance(eos_id, int): + raise TypeError(f"eos_id must be int, got {type(eos_id)}") + + def _setup_anchor(self, msgs: list[dict]) -> None: + """ + Setup anchor for delta tokenization and compute suffix. + + The suffix is anything after EOS in the chat template. We create a test + conversation with EOS and extract any tokens that follow it. + """ + sys = ( + msgs[0] + if msgs[0]["role"] == "system" + else {"role": "system", "content": ""} + ) + self.anchor = [sys, {"role": "user", "content": ""}] + + # Compute generation prompt + without = self.tokenizer.apply_chat_template( + self.anchor, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + with_gen = self.tokenizer.apply_chat_template( + self.anchor, + add_generation_prompt=True, + tokenize=True, + enable_thinking=self.thinking, + ) + self.gen_prompt_tokens = with_gen[len(without) :] + self.gen_prompt_len = len(self.gen_prompt_tokens) + + # Compute system length + sys_tokens = self.tokenizer.apply_chat_template( + [sys], + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + self.sys_len = len(sys_tokens) + + # Compute suffix by tokenizing a test conversation + test_conv = [ + sys, + {"role": "user", "content": "test"}, + {"role": "assistant", "content": "response"}, + ] + test_tokens = self.tokenizer.apply_chat_template( + test_conv, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + + # Find last EOS + eos_idx = -1 + for i in range(len(test_tokens) - 1, -1, -1): + if test_tokens[i] == self.eos_id: + eos_idx = i + break + + # Extract suffix (everything after EOS, or empty if nothing) + if eos_idx >= 0 and eos_idx < len(test_tokens) - 1: + self.suffix = test_tokens[eos_idx + 1 :] + else: + self.suffix = [] + + def _init_messages(self, msgs: list[dict]) -> None: + """Initialize with starting messages.""" + if not msgs: + return + + tokens = self.tokenizer.apply_chat_template( + msgs, + add_generation_prompt=False, + tokenize=True, + enable_thinking=self.thinking, + ) + + if len(tokens) > self.max_len: + self._mark_truncated(TruncationReason.USER_TOO_LONG) + tokens = tokens[: self.max_len] + + self.messages = msgs.copy() + self._add_tokens(tokens, trainable=False, role="initial", ends_with_eos=False) + + def _add_tokens( + self, + tokens: list[int], + trainable: bool, + logprobs: Optional[list[float]] = None, + role: str = "", + ends_with_eos: bool = False, + ) -> None: + """Add tokens to parallel arrays and track message boundary.""" + if not tokens: + return + + self._tokens.extend(tokens) + self._mask.extend([trainable] * len(tokens)) + self._logprobs.extend(logprobs if logprobs else [0.0] * len(tokens)) + + # Track message end for validation + end_idx = len(self._tokens) - 1 + self._message_ends.append((end_idx, role, ends_with_eos)) + + def _mark_truncated(self, reason: TruncationReason) -> bool: + """Mark as truncated.""" + self.truncated = True + self.truncation_reason = reason + return False + + def _validate( + self, + token_ids: torch.Tensor, + response_mask: torch.Tensor, + logprobs: torch.Tensor, + ) -> None: + """ + Run validation checks on tensors. + + Args: + token_ids: Token IDs tensor (shape: T) + response_mask: Response mask tensor (shape: T) + logprobs: Log probabilities tensor (shape: T) + """ + # Check 1: Shapes match + if not (token_ids.shape == response_mask.shape == logprobs.shape): + raise AssertionError( + f"Shape mismatch: token_ids={token_ids.shape}, " + f"mask={response_mask.shape}, logprobs={logprobs.shape}" + ) + + # Check 2: Budget not exceeded + if len(token_ids) > self.max_len: + raise ValueError(f"Budget overflow: {len(token_ids)} > {self.max_len}") + + # Check 3: Message boundaries are correct + for end_idx, role, should_end_with_eos in self._message_ends: + if should_end_with_eos: + # Token at end_idx should be eos_id + if token_ids[end_idx].item() != self.eos_id: + msg = f"{role} at {end_idx} has token {token_ids[end_idx].item()}, expected EOS {self.eos_id}" + if self.validation == ValidationMode.STRICT: + raise ValueError(msg) + print(f"WARNING: {msg}") + + # For assistant: end_idx should be trainable + if role == "assistant" and not response_mask[end_idx].item(): + msg = f"Assistant EOS at {end_idx} is not trainable" + if self.validation == ValidationMode.STRICT: + raise ValueError(msg) + print(f"WARNING: {msg}") + + # Token after EOS should not be trainable + if end_idx + 1 < len(token_ids) and response_mask[end_idx + 1].item(): + msg = ( + f"Token after EOS at {end_idx+1} is trainable (should be False)" + ) + if self.validation == ValidationMode.STRICT: + raise ValueError(msg) + print(f"WARNING: {msg}") + + # Check 4: Prefix consistency (incremental == full tokenization) + # DISABLED: Qwen always adds think tags to LAST assistant message only, + # but in incremental accumulation every assistant response IS the last one + # at the time we add it. This causes mismatches: + # - thinking=True: missing 4 tokens (last gets think tags in full tokenization) + # - thinking=False: extra 4 tokens (first doesn't get think tags in full tokenization) + # This is expected behavior for Qwen and not a bug. + # + # with self._lock: + # full_tokens = self.tokenizer.apply_chat_template( + # self.messages, add_generation_prompt=False, tokenize=True, enable_thinking=self.thinking + # ) + # + # accumulated_len = len(token_ids) + # expected_len = len(full_tokens) + # + # if accumulated_len != expected_len: + # msg = ( + # f"Prefix consistency failed: " + # f"accumulated={accumulated_len} tokens, " + # f"expected={expected_len}" + # ) + # if self.validation == ValidationMode.STRICT: + # raise AssertionError(msg) + # print(f"WARNING: {msg}") diff --git a/debug/debug.md b/debug/debug.md new file mode 100644 index 000000000..2b9052870 --- /dev/null +++ b/debug/debug.md @@ -0,0 +1,174 @@ +# Blackjack main_v2.py Refactoring Progress + +## Context +Refactoring `/home/felipemello/forge/apps/blackjack/main_v2.py` to be cleaner, simpler, and more maintainable. Goal is to align with `apps/grpo/main.py` patterns while removing over-engineering and debug code. + +## File Organization (Current State) + +### Files Created/Modified: +1. **`/home/felipemello/forge/apps/blackjack/token_accumulator.py`** ✅ + - Moved TokenAccumulator class and related enums (ValidationMode, TruncationReason, EpisodeData) + - Has all necessary imports + - Working correctly + +2. **`/home/felipemello/forge/apps/blackjack/blackjack_env.py`** ✅ + - Moved BlackjackEnv class and EnvStepResult dataclass + - Has all necessary imports + - Fixed typo: `is_invalid` parameter (was `in_invalid`) - this was causing hangs! + +3. **`/home/felipemello/forge/apps/blackjack/main_v2.py`** ✅ + - Imports from token_accumulator and blackjack_env + - Significantly cleaned up (1987 lines → 1183 lines, ~800 lines removed) + - Working correctly + +## Completed Tasks + +### ✅ Task 1: Fix All Imports +**Status:** COMPLETE +**Changes:** +- Added imports to `token_accumulator.py`: threading, dataclass, Enum, Optional, torch +- Added imports to `blackjack_env.py`: re, dataclass, field, Any, OpenSpielAction, OpenSpielEnv, record_metric, Reduce +- Added local imports to `main_v2.py`: + ```python + from apps.blackjack.blackjack_env import BlackjackEnv, EnvStepResult + from apps.blackjack.token_accumulator import ( + TokenAccumulator, + ValidationMode, + TruncationReason, + EpisodeData, + ) + ``` +- Updated usage comment from `main_v2` to `main` + +**Key Issue Found & Fixed:** +- `blackjack_env.py` had typo `in_invalid` instead of `is_invalid` in `_compute_reward()` parameter - this was causing the import to hang! + +### ✅ Task 2: Simplify Server Management in `async def main()` +**Status:** COMPLETE +**Changes:** +- Created helper functions (lines 74-161): + - `kill_process_on_port()` - simplified (removed debug prints) + - `_wait_for_server_health()` - extracted health check logic + - `start_servers()` - consolidated server startup with health checks + - `shutdown_servers()` - consolidated graceful shutdown + +- **Server startup** (lines 801-806): + ```python + # Before: 67 lines of verbose code + # After: 6 clean lines + server_processes, server_ports = start_servers( + num_servers=cfg.get("rollout_threads", 1), + base_port=cfg.blackjack_env.server_port, + game_name=cfg.blackjack_env.game_name, + ) + ``` + +- **Server shutdown** (line 1191): + ```python + # Before: 10 lines + # After: 1 line + shutdown_servers(server_processes) + ``` + +**Impact:** Removed ~70 lines from main(), much cleaner + +### ✅ Task 3: Clean up `async def main()` debugging/checks +**Status:** COMPLETE +**Changes:** +- Created `print_episode_debug()` function (lines 164-193) + - Reuses TokenAccumulator's `show_messages()` method + - Creates temp TokenAccumulator, replaces internals with Episode data + - Provides colorized token stream visualization + +- **Removed redundant server testing** (deleted lines 915-935, ~22 lines) + - Servers already tested in `start_servers()`, this was redundant + +- **Simplified debug printing** (31 lines → 3 lines): + ```python + # Print episode details every 10 rollouts + if episodes and rollout_count % 10 == 0: + print_episode_debug(episodes[0], tokenizer, rollout_count) + ``` + +**Impact:** Removed ~50 lines, cleaner console output (only every 10 rollouts) + +## Current State Summary +- **File size:** 1183 lines (down from 1987, ~40% reduction) +- **All imports working:** ✅ +- **Server management:** ✅ Simplified and extracted +- **Debug output:** ✅ Clean and using TokenAccumulator visualization +- **Tests:** ✅ All changes tested and working + +## Next Task: Task 4 - Remove EnvironmentActor + +### Current Problem: +`EnvironmentActor` exists only to provide tokenizer access (lines ~819-828 in main_v2.py): +```python +# First, initialize env_actor to get pad_id +env_actor = await EnvironmentActor.options(**cfg.actors.blackjack_env).as_actor(**env_actor_config) +pad_id = await env_actor.pad_token.call_one() + +# Later in continuous_rollouts: +pad_id = await env_actor.pad_token.call_one() +tokenizer = await env_actor.get_tokenizer.call_one() +``` + +This is unnecessary overhead - we should just get the tokenizer directly and pass it where needed. + +### Proposed Solution: +1. **Get tokenizer directly in main():** + ```python + tokenizer = get_tokenizer(cfg.blackjack_env.model) + pad_id = tokenizer.pad_token_id or tokenizer.eos_token_id + ``` + +2. **Pass tokenizer to continuous_rollouts:** + ```python + async def continuous_rollouts(thread_id: int, tokenizer): + # Use tokenizer directly, no actor calls needed + ``` + +3. **Remove EnvironmentActor class definition** (if it exists in main_v2.py) + +4. **Remove threading locks from TokenAccumulator** (since tokenizer is no longer shared via actor): + - Remove `self._lock = threading.Lock()` from TokenAccumulator.__init__ + - Remove `with self._lock:` blocks from tokenizer calls in TokenAccumulator + - This simplifies TokenAccumulator significantly + +### Files to Modify: +- `/home/felipemello/forge/apps/blackjack/main_v2.py` +- `/home/felipemello/forge/apps/blackjack/token_accumulator.py` (remove locks) + +### Expected Impact: +- Remove EnvironmentActor abstraction (~20 lines) +- Simplify continuous_rollouts initialization +- Remove threading locks from TokenAccumulator (~5-10 places) +- Cleaner, more direct code + +## Important Notes for Future Context + +### Critical Bug Fixed: +- **Hang issue:** Was caused by typo `in_invalid` vs `is_invalid` in `blackjack_env.py:164` +- When importing BlackjackEnv caused hang, check for parameter name mismatches + +### Testing Pattern: +- After each change, run: `python -m apps.blackjack.main_v2 --config apps/blackjack/qwen3_1_7b.yaml` +- Verify no hangs during initialization +- Check that colorized debug output appears every 10 rollouts + +### Key Design Decisions: +- **Reuse TokenAccumulator visualization:** Don't duplicate colorization code, create temp instance and replace internals +- **Print every N rollouts:** Use `rollout_count % 10 == 0` to avoid console spam +- **Extract server logic:** Keep main() focused on training loop, not infrastructure + +### File Line Counts: +- Start: 1987 lines +- After Task 1: ~1987 lines (just imports) +- After Task 2: ~1200 lines +- After Task 3: ~1183 lines +- Target: ~900-1000 lines after Task 4 + +### Remaining Tasks (Priority Order): +1. **Task 4:** Remove EnvironmentActor, pass tokenizer directly ⬅️ NEXT +2. Remove threading locks from TokenAccumulator (part of Task 4) +3. Any other cleanup identified during Task 4 diff --git a/out3.txt b/out3.txt new file mode 100644 index 000000000..c42a817f8 --- /dev/null +++ b/out3.txt @@ -0,0 +1,1949 @@ +Warning: setting HYPERACTOR_CODEC_MAX_FRAME_LENGTH since this needs to be set to enable large RPC calls via Monarch +INFO 11-20 14:04:03 [__init__.py:235] Automatically detected platform cuda. +Using game string: blackjack +[SERVER] Starting uvicorn for game 'blackjack' on port 9000 +INFO: Started server process [608036] +INFO: Waiting for application startup. +INFO: Application startup complete. +INFO: Uvicorn running on http://0.0.0.0:9000 (Press CTRL+C to quit) +✓ Started 1 OpenSpiel server(s) +Launcher not provided, remote allocations will not work. +wandb: Currently logged in as: felipemello (cabernet-team) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin +wandb: setting up run ae4ah9u2 +wandb: Tracking run with wandb version 0.23.0 +wandb: Run data is saved locally in /home/felipemello/forge/wandb/run-20251120_140408-ae4ah9u2 +wandb: Run `wandb offline` to turn off syncing. +wandb: Syncing run genial-monkey-94 +wandb: ⭐️ View project at https://wandb.ai/cabernet-team/blackjack-grpo +wandb: 🚀 View run at https://wandb.ai/cabernet-team/blackjack-grpo/runs/ae4ah9u2 +wandb: Detected [openai] in use. +wandb: Use W&B Weave for improved LLM call tracing. Install Weave with `pip install weave` then add `import weave` to the top of your script. +wandb: For more information, check out the docs at: https://weave-docs.wandb.ai/ +Spawning service Generator +Spawning actor TitanTrainer +Spawning actor ReplayBuffer +Spawning actor ComputeAdvantages +Spawning service ReferenceModel +[TitanTrainer-0/1] 2025-11-20 14:04:19 INFO Compiling loss +[TitanTrainer-0/1] 2025-11-20 14:04:21 INFO Building 0-D device mesh with [], [] +[TitanTrainer-0/1] 2025-11-20 14:04:21 INFO [GC] Initial GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 14:04:22 INFO Total parameter count: dense 2,031,739,904, sparse 0, active 2,031,739,904 +[TitanTrainer-0/1] 2025-11-20 14:04:22 INFO Applied selective activation checkpointing to the model +NCCL version 2.27.5+cuda12.9 +[TitanTrainer-0/1] 2025-11-20 14:04:22 INFO Checkpointing active. Checkpoints will be loaded from and saved to ./checkpoint +[TitanTrainer-0/1] 2025-11-20 14:04:22 INFO Mixed precision training is handled by AMP +[TitanTrainer-0/1] 2025-11-20 14:04:22 INFO loading from HF safetensors from --checkpoint.initial_load_path: /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e +[TitanTrainer-0/1] 2025-11-20 14:04:22 INFO Loading the checkpoint from /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e. +[TitanTrainer-0/1] 2025-11-20 14:04:23 INFO [GC] GC collection for checkpoint loading. took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 14:04:23 INFO Finished loading the checkpoint in 0.85 seconds. +INFO 11-20 14:04:25 [__init__.py:235] Automatically detected platform cuda. +[ReferenceModel-0/1] 2025-11-20 14:04:26 INFO Building 0-D device mesh with [], [] +[ReferenceModel-0/1] 2025-11-20 14:04:26 INFO [GC] Initial GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 14:04:27 INFO Total parameter count: dense 2,031,739,904, sparse 0, active 2,031,739,904 +[ReferenceModel-0/1] 2025-11-20 14:04:27 INFO Applied selective activation checkpointing to the model +NCCL version 2.27.5+cuda12.9 +[ReferenceModel-0/1] 2025-11-20 14:04:27 INFO Checkpointing active. Checkpoints will be loaded from and saved to +[ReferenceModel-0/1] 2025-11-20 14:04:27 INFO Mixed precision training is handled by AMP +[ReferenceModel-0/1] 2025-11-20 14:04:27 INFO loading from HF safetensors from --checkpoint.initial_load_path: /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e +[ReferenceModel-0/1] 2025-11-20 14:04:27 INFO Loading the checkpoint from /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e. +[ReferenceModel-0/1] 2025-11-20 14:04:28 INFO [GC] GC collection for checkpoint loading. took 0.04 seconds +[ReferenceModel-0/1] 2025-11-20 14:04:28 INFO Finished loading the checkpoint in 0.74 seconds. +`torch_dtype` is deprecated! Use `dtype` instead! +INFO 11-20 14:04:33 [config.py:1604] Using max model len 40960 +INFO 11-20 14:04:33 [config.py:2434] Chunked prefill is enabled with max_num_batched_tokens=16384. +INFO 11-20 14:04:35 [__init__.py:235] Automatically detected platform cuda. +WARNING 11-20 14:04:36 [multiproc_worker_utils.py:307] Reducing Torch parallelism from 192 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. +[W1120 14:04:39.901188155 ProcessGroupNCCL.cpp:924] Warning: TORCH_NCCL_AVOID_RECORD_STREAMS is the default now, this environment variable is thus deprecated. (function operator()) +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 +INFO 11-20 14:04:39 [parallel_state.py:1102] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 +WARNING 11-20 14:04:39 [topk_topp_sampler.py:59] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer. +INFO 11-20 14:04:39 [gpu_model_runner.py:1843] Starting to load model Qwen/Qwen3-1.7B... +INFO 11-20 14:04:39 [gpu_model_runner.py:1875] Loading model from scratch... +INFO 11-20 14:04:39 [cuda.py:290] Using Flash Attention backend on V1 engine. +INFO 11-20 14:04:39 [weight_utils.py:296] Using model weights format ['*.safetensors'] + Loading safetensors checkpoint shards: 0% Completed | 0/2 [00:00.datetime.now.` This function is either a Python builtin (e.g. _warnings.warn) or a third-party C/C++ Python extension (perhaps created with pybind). +If it is a Python builtin, please file an issue on GitHub so the PyTorch team can add support for it and see the next case for a workaround. +If it is a third-party C/C++ Python extension, please either wrap it into a PyTorch-understood custom operator (see https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html for more details) or, if it is traceable, use `torch.compiler.allow_in_graph`. + torch._dynamo.utils.warn_once(explanation + "\n" + "\n".join(hints)) +[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: +[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True +[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: +[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 +[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. +[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] +[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: +[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/home/felipemello/forge/apps/blackjack/main.py", line 526, in torch_dynamo_resume_in_simple_grpo_loss_at_524 +[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] "loss_debug/num_trainable_tokens", loss_mask.sum().item(), Reduce.MEAN +[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] +[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] +[ReferenceModel-0/1] 2025-11-20 14:05:17 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 14:05:19 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 14:05:20 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 14:05:22 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 14:05:24 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 14:05:25 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 14:05:27 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 14:05:29 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 14:05:30 INFO [GC] Performing periodic GC collection took 0.00 seconds +/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/torch/cuda/memory.py:491: FutureWarning: torch.cuda.reset_max_memory_allocated now calls torch.cuda.reset_peak_memory_stats, which resets /all/ peak memory stats. + warnings.warn( +[TitanTrainer-0/1] 2025-11-20 14:05:30 INFO Pushing weights for policy version 1 +[ReferenceModel-0/1] 2025-11-20 14:05:31 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 14:05:33 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 14:05:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 14:05:34 INFO Completed weights push in 4.12 seconds +[Generator-0/1] 2025-11-20 14:05:34 INFO [Generator] Fetching weights for v1 to shared memory +INFO 11-20 14:05:38 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 14:05:38 INFO Weight update completed (now v1) +All services initialized successfully! +Torchstore successfully initialized with local rank strategy +Starting GRPO with 1 rollout threads +[Thread 0] Using server at http://localhost:9000 + +[ROLLOUT 0] Episode Debug +Reward: -10.00, Tokens: 227, Trainable: 4, Truncated: False +================================================================================ +TokenAccumulator: 227/227 tokens +Trainable: 4/227 (1.8%) +================================================================================ + +Messages: + [0] system 'You are an expert Blackjack player.\n\nGOAL: Get a hand total closer to 21 than the dealer without goi...' + [1] user 'Hand: 18, Dealer: 10' + [2] assistant '' + +Token stream: + · <|im_start|>system\nYou are an expert Blackjack player.\n\nGOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting).\n\nRULES:\n- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value\n- If you go over 21, you bust and lose immediately\n- The dealer plays after you and must hit until reaching 17+\n\nACTIONS:\n- HIT: Take another card (increases your hand total)\n- STAND: Keep your current hand and end your turn\n\nWIN CONDITIONS:\n- Your hand is closer to 21 than the dealer's final hand\n- Dealer busts (goes over 21) and you don't\n- You get exactly 21\n\nIMPORTANT: You MUST output your action in the following format:\nHIT or STAND<|im_end|>\n<|im_start|>user\nHand: 18, Dealer: 10<|im_end|>\n<|im_start|>assistant\n\n\n\n\n ✓ <|im_end|> · \n +================================================================================ +[TRAINING] Step 0: Starting training + +[ROLLOUT 10] Episode Debug +Reward: -1.00, Tokens: 230, Trainable: 8, Truncated: False +================================================================================ +TokenAccumulator: 230/230 tokens +Trainable: 8/230 (3.5%) +================================================================================ + +Messages: + [0] system 'You are an expert Blackjack player.\n\nGOAL: Get a hand total closer to 21 than the dealer without goi...' + [1] user 'Hand: 17, Dealer: 8' + [2] assistant 'HIT' + +Token stream: + · <|im_start|>system\nYou are an expert Blackjack player.\n\nGOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting).\n\nRULES:\n- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value\n- If you go over 21, you bust and lose immediately\n- The dealer plays after you and must hit until reaching 17+\n\nACTIONS:\n- HIT: Take another card (increases your hand total)\n- STAND: Keep your current hand and end your turn\n\nWIN CONDITIONS:\n- Your hand is closer to 21 than the dealer's final hand\n- Dealer busts (goes over 21) and you don't\n- You get exactly 21\n\nIMPORTANT: You MUST output your action in the following format:\nHIT or STAND<|im_end|>\n<|im_start|>user\nHand: 17, Dealer: 8<|im_end|>\n<|im_start|>assistant\n\n\n\n\n ✓ HIT<|im_end|> · \n +================================================================================ +WandbBackend: Logged 126 metrics at step 1 +=== [global_reduce] - METRICS STEP 1 === + buffer/add/count_episodes_added: 224.0 + buffer/episode_acceptance_rate: 1.0 + buffer/episodes_accepted: 224.0 + buffer/evict/sum_episodes_evicted: 0.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 1.0 + buffer/sample/avg_sampled_policy_age: 0.0 + buffer/sample/count_sample_requests: 57.0 + buffer/sample/max_sampled_policy_age: 0.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 0.00013452353315395222 + buffer_perf/sample/total_duration_max_s: 0.003208107315003872 + episode/total_tokens: 251.07359307359306 + episode/turns: 1.670995670995671 + game/average_turns: 1.670995670995671 + game/env_reward: -0.18614718614718614 + game/games_played: 231.0 + game/invalid_action_penalty: 35.0 + game/invalid_action_rate: 0.09067357512953368 + game/missing_answer_tags: 35.0 + game/win_rate: 0.38095238095238093 + generator/generate/avg_tokens_generated: 7.919689119170984 + generator/generate/count_requests: 387.0 + generator/generate/count_sequences_completed: 386.0 + generator/generate/sum_tokens_generated: 3057.0 + generator/update_weights/count_weight_updates: 1.0 + generator_perf/_fetch_weights/total_duration_avg_s: 2.070949375629425 + generator_perf/_fetch_weights/total_duration_max_s: 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collection took 0.00 seconds +/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/torch/cuda/memory.py:491: FutureWarning: torch.cuda.reset_max_memory_allocated now calls torch.cuda.reset_peak_memory_stats, which resets /all/ peak memory stats. + warnings.warn( +[TitanTrainer-0/1] 2025-11-20 14:05:43 INFO Pushing weights for policy version 2 +[ReferenceModel-0/1] 2025-11-20 14:05:44 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 14:05:45 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 14:05:46 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 14:05:46 INFO Completed weights push in 3.06 seconds +[Generator-0/1] 2025-11-20 14:05:46 INFO [Generator] Fetching weights for v2 to shared memory +INFO 11-20 14:05:49 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 14:05:49 INFO Weight update completed (now v2) +[ReferenceModel-0/1] 2025-11-20 14:05:50 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 1: Starting training + +[ROLLOUT 20] Episode Debug +Reward: -1.00, Tokens: 261, Trainable: 17, Truncated: False +================================================================================ +TokenAccumulator: 261/261 tokens +Trainable: 17/261 (6.5%) +================================================================================ + +Messages: + [0] system 'You are an expert Blackjack player.\n\nGOAL: Get a hand total closer to 21 than the dealer without goi...' + [1] user 'Hand: 9, Dealer: 7' + [2] assistant 'HIT' + [3] user 'Hand: 19, Dealer: 7' + [4] assistant 'STAND' + +Token stream: + · <|im_start|>system\nYou are an expert Blackjack player.\n\nGOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting).\n\nRULES:\n- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value\n- If you go over 21, you bust and lose immediately\n- The dealer plays after you and must hit until reaching 17+\n\nACTIONS:\n- HIT: Take another card (increases your hand total)\n- STAND: Keep your current hand and end your turn\n\nWIN CONDITIONS:\n- Your hand is closer to 21 than the dealer's final hand\n- Dealer busts (goes over 21) and you don't\n- You get exactly 21\n\nIMPORTANT: You MUST output your action in the following format:\nHIT or STAND<|im_end|>\n<|im_start|>user\nHand: 9, Dealer: 7<|im_end|>\n<|im_start|>assistant\n\n\n\n\n ✓ HIT<|im_end|> · \n<|im_start|>user\nHand: 19, Dealer: 7<|im_end|>\n<|im_start|>assistant\n\n\n\n\n ✓ STAND<|im_end|> · \n +================================================================================ +Dropping weights @ version 1 +Dropped weights @ version 1, took 1.13 seconds +WandbBackend: Logged 126 metrics at step 2 +=== [global_reduce] - METRICS STEP 2 === + buffer/add/count_episodes_added: 144.0 + buffer/episode_acceptance_rate: 1.0 + buffer/episodes_accepted: 144.0 + 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Pushing weights for policy version 3 +[ReferenceModel-0/1] 2025-11-20 14:05:53 INFO [GC] Performing periodic GC collection took 0.00 seconds +[ReferenceModel-0/1] 2025-11-20 14:05:54 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 14:05:55 INFO Completed weights push in 2.84 seconds +[Generator-0/1] 2025-11-20 14:05:55 INFO [Generator] Fetching weights for v3 to shared memory +INFO 11-20 14:05:58 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 14:05:58 INFO Weight update completed (now v3) +[ReferenceModel-0/1] 2025-11-20 14:05:58 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TRAINING] Step 2: Starting training +Dropping weights @ version 2 +Dropped weights @ version 2, took 0.92 seconds +WandbBackend: Logged 126 metrics at step 3 +=== [global_reduce] - METRICS STEP 3 === + buffer/add/count_episodes_added: 64.0 + buffer/episode_acceptance_rate: 1.0 + buffer/episodes_accepted: 64.0 + 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14:06:07 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 14:06:08 INFO Pushing weights for policy version 5 +[ReferenceModel-0/1] 2025-11-20 14:06:09 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 14:06:11 INFO Completed weights push in 2.42 seconds +[Generator-0/1] 2025-11-20 14:06:11 INFO [Generator] Fetching weights for v5 to shared memory +INFO 11-20 14:06:13 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 14:06:13 INFO Weight update completed (now v5) +[TRAINING] Step 4: Starting training + +[ROLLOUT 30] Episode Debug +Reward: -1.00, Tokens: 230, Trainable: 8, Truncated: False +================================================================================ +TokenAccumulator: 230/230 tokens +Trainable: 8/230 (3.5%) +================================================================================ + +Messages: + [0] system 'You are an expert Blackjack player.\n\nGOAL: Get a hand total closer to 21 than the dealer without goi...' + [1] user 'Hand: 20, Dealer: 4' + [2] assistant 'HIT' + +Token stream: + · <|im_start|>system\nYou are an expert Blackjack player.\n\nGOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting).\n\nRULES:\n- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value\n- If you go over 21, you bust and lose immediately\n- The dealer plays after you and must hit until reaching 17+\n\nACTIONS:\n- HIT: Take another card (increases your hand total)\n- STAND: Keep your current hand and end your turn\n\nWIN CONDITIONS:\n- Your hand is closer to 21 than the dealer's final hand\n- Dealer busts (goes over 21) and you don't\n- You get exactly 21\n\nIMPORTANT: You MUST output your action in the following format:\nHIT or STAND<|im_end|>\n<|im_start|>user\nHand: 20, Dealer: 4<|im_end|>\n<|im_start|>assistant\n\n\n\n\n ✓ HIT<|im_end|> · \n 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2025-11-20 14:07:16 INFO Weight update completed (now v8) +[TRAINING] Step 7: Starting training +Dropping weights @ version 7 +Dropped weights @ version 7, took 0.82 seconds +WandbBackend: Logged 128 metrics at step 8 +=== [global_reduce] - METRICS STEP 8 === + buffer/add/count_episodes_added: 32.0 + buffer/episode_acceptance_rate: 1.0 + buffer/episodes_accepted: 32.0 + buffer/evict/sum_episodes_evicted: 22.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 1.1436797975003998 + buffer/sample/avg_sampled_policy_age: 0.25 + buffer/sample/count_sample_requests: 371.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 9.09150319520354e-05 + buffer_perf/sample/total_duration_max_s: 0.0004378734156489372 + episode/total_tokens: 614.2222222222222 + episode/turns: 1.6666666666666667 + game/average_turns: 1.6666666666666667 + game/env_reward: -0.2962962962962963 + game/games_played: 27.0 + 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loss_debug/logprob_diff_max: 7.199211120605469 + loss_debug/logprob_diff_mean: -0.23519453406333923 + loss_debug/logprob_diff_min: -34.16819763183594 + loss_debug/logprobs_max: 0.0 + loss_debug/logprobs_mean: -0.2729402780532837 + loss_debug/logprobs_min: -45.15625 + loss_debug/logprobs_std: 1.6579363346099854 + loss_debug/num_trainable_tokens: 5827.0 + loss_debug/per_token_loss_max: 4.0288519859313965 + loss_debug/per_token_loss_mean: 0.06921182572841644 + loss_debug/per_token_loss_min: -1.6769572496414185 + loss_debug/policy_loss_max: 1.6769572496414185 + loss_debug/policy_loss_mean: -0.054995059967041016 + loss_debug/policy_loss_min: -3.0288517475128174 + loss_debug/ref_logprobs_max: 0.0 + loss_debug/ref_logprobs_mean: -0.5081347823143005 + loss_debug/ref_logprobs_min: -47.691627502441406 + loss_debug/ref_logprobs_std: 2.8996949195861816 + loss_debug/seq_len: 1213.0 + loss_debug/targets_max: 151668.0 + loss_debug/targets_min: -100.0 + 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rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.14138053450733423 + rl_trainer_perf/step/total_duration_avg_s: 1.986812749877572 + rl_trainer_perf/step/total_duration_max_s: 1.986812749877572 +============================== + +[ReferenceModel-0/1] 2025-11-20 14:07:34 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 14:07:35 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 14:07:37 INFO Pushing weights for policy version 9 +[TitanTrainer-0/1] 2025-11-20 14:07:40 INFO Completed weights push in 2.52 seconds +[Generator-0/1] 2025-11-20 14:07:40 INFO [Generator] Fetching weights for v9 to shared memory +INFO 11-20 14:07:42 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 14:07:42 INFO Weight update completed (now v9) +[TRAINING] Step 8: Starting training +Dropping weights @ version 8 +Dropped weights @ version 8, took 0.75 seconds +WandbBackend: Logged 126 metrics at step 9 +=== [global_reduce] - METRICS STEP 9 === + buffer/add/count_episodes_added: 16.0 + buffer/episode_acceptance_rate: 1.0 + buffer/episodes_accepted: 16.0 + buffer/evict/sum_episodes_evicted: 20.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 1.5945299145299132 + buffer/sample/avg_sampled_policy_age: 0.4375 + buffer/sample/count_sample_requests: 180.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 9.84305360664924e-05 + buffer_perf/sample/total_duration_max_s: 0.0005329884588718414 + episode/total_tokens: 573.8666666666667 + episode/turns: 1.4666666666666666 + game/average_turns: 1.4666666666666666 + game/env_reward: -0.26666666666666666 + game/games_played: 15.0 + game/invalid_action_rate: 0.0 + game/win_rate: 0.3333333333333333 + generator/generate/avg_tokens_generated: 232.3181818181818 + generator/generate/count_requests: 22.0 + 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loss_debug/logprobs_std: 1.3402847051620483 + loss_debug/num_trainable_tokens: 5367.0 + loss_debug/per_token_loss_max: 1.9681990146636963 + loss_debug/per_token_loss_mean: 0.01149035431444645 + loss_debug/per_token_loss_min: -1.0356719493865967 + loss_debug/policy_loss_max: 1.0356719493865967 + loss_debug/policy_loss_mean: 0.005344805307686329 + loss_debug/policy_loss_min: -0.9681990146636963 + loss_debug/ref_logprobs_max: 0.0 + loss_debug/ref_logprobs_mean: -0.5724653005599976 + loss_debug/ref_logprobs_min: -47.445186614990234 + loss_debug/ref_logprobs_std: 2.9124107360839844 + loss_debug/seq_len: 1365.0 + loss_debug/targets_max: 151668.0 + loss_debug/targets_min: -100.0 + main/continuous_rollouts/count_rollout_iterations: 1.0 + main_perf/continuous_rollouts/play_games/duration_avg_s: 25.45370960328728 + main_perf/continuous_rollouts/play_games/duration_max_s: 25.45370960328728 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.682504934258759 + main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.682504934258759 + main_perf/continuous_rollouts/total_duration_avg_s: 26.17939332872629 + main_perf/continuous_rollouts/total_duration_max_s: 26.17939332872629 + main_perf/continuous_training/drop_weights/duration_avg_s: 0.7479675784707069 + main_perf/continuous_training/drop_weights/duration_max_s: 0.7479675784707069 + main_perf/continuous_training/push_weights/duration_avg_s: 2.525798031128943 + main_perf/continuous_training/push_weights/duration_max_s: 2.525798031128943 + main_perf/continuous_training/total_duration_avg_s: 26.170378523878753 + main_perf/continuous_training/total_duration_max_s: 26.170378523878753 + main_perf/continuous_training/train_step/duration_avg_s: 2.0612693587318063 + main_perf/continuous_training/train_step/duration_max_s: 2.0612693587318063 + main_perf/continuous_training/update_weights/duration_avg_s: 2.590230042114854 + main_perf/continuous_training/update_weights/duration_max_s: 2.590230042114854 + main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 18.24511060770601 + main_perf/continuous_training/waiting_for_buffer/duration_max_s: 18.24511060770601 + reference_perf/forward/avg_sequence_length: 1365.0 + reference_perf/forward/compute_logprobs/duration_avg_s: 0.20935671590268612 + reference_perf/forward/compute_logprobs/duration_max_s: 0.20935671590268612 + reference_perf/forward/count_forward_passes: 1.0 + reference_perf/forward/forward/duration_avg_s: 0.44480002485215664 + reference_perf/forward/forward/duration_max_s: 0.44480002485215664 + reference_perf/forward/garbage_collection/duration_avg_s: 0.00045849569141864777 + reference_perf/forward/garbage_collection/duration_max_s: 0.00045849569141864777 + reference_perf/forward/memory_delta_end_start_avg_gb: 6.181117534637451 + reference_perf/forward/memory_peak_max_gb: 40.90272903442383 + reference_perf/forward/to_device/duration_avg_s: 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rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.5228658337146044 + rl_trainer_perf/step/forward_backward/duration_avg_s: 1.8878911202773452 + rl_trainer_perf/step/forward_backward/duration_max_s: 1.8878911202773452 + rl_trainer_perf/step/memory_delta_end_start_avg_gb: 0.0004897117614746094 + rl_trainer_perf/step/memory_peak_max_gb: 45.292272090911865 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.015081457793712616 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.015081457793712616 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.154585731215775 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.154585731215775 + rl_trainer_perf/step/total_duration_avg_s: 2.057561202906072 + rl_trainer_perf/step/total_duration_max_s: 2.057561202906072 +============================== + +[ReferenceModel-0/1] 2025-11-20 14:07:58 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 14:07:59 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 14:08:01 INFO Pushing weights for policy version 10 +[TitanTrainer-0/1] 2025-11-20 14:08:04 INFO Completed weights push in 2.82 seconds +[Generator-0/1] 2025-11-20 14:08:04 INFO [Generator] Fetching weights for v10 to shared memory +INFO 11-20 14:08:06 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 14:08:06 INFO Weight update completed (now v10) +[TRAINING] Step 9: Starting training +Dropping weights @ version 9 +Dropped weights @ version 9, took 0.68 seconds +WandbBackend: Logged 126 metrics at step 10 +=== [global_reduce] - METRICS STEP 10 === + buffer/add/count_episodes_added: 16.0 + buffer/episode_acceptance_rate: 1.0 + buffer/episodes_accepted: 16.0 + buffer/evict/sum_episodes_evicted: 23.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 5.3047267851156645 + buffer/sample/avg_sampled_policy_age: 0.375 + buffer/sample/count_sample_requests: 157.0 + 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update completed (now v11) +[TRAINING] Step 10: Starting training +Dropping weights @ version 10 +Dropped weights @ version 10, took 0.74 seconds +WandbBackend: Logged 126 metrics at step 11 +=== [global_reduce] - METRICS STEP 11 === + buffer/add/count_episodes_added: 16.0 + buffer/episode_acceptance_rate: 1.0 + buffer/episodes_accepted: 16.0 + buffer/evict/sum_episodes_evicted: 17.0 + buffer/rate_rejected_truncated: 0.0 + buffer/sample/avg_data_utilization: 7.953216374269006 + buffer/sample/avg_sampled_policy_age: 0.3125 + buffer/sample/count_sample_requests: 152.0 + buffer/sample/max_sampled_policy_age: 1.0 + buffer/sample/min_sampled_policy_age: 0.0 + buffer_perf/sample/total_duration_avg_s: 9.046555619294707e-05 + buffer_perf/sample/total_duration_max_s: 0.0004458557814359665 + episode/total_tokens: 514.375 + episode/turns: 1.25 + game/average_turns: 1.25 + game/env_reward: -0.0625 + game/games_played: 16.0 + game/invalid_action_penalty: 1.0 + game/invalid_action_rate: 0.05 + 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14:08:45 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 14:08:46 INFO [GC] Performing periodic GC collection took 0.00 seconds +[TitanTrainer-0/1] 2025-11-20 14:08:47 INFO Pushing weights for policy version 12 +[TitanTrainer-0/1] 2025-11-20 14:08:50 INFO Completed weights push in 2.71 seconds +[Generator-0/1] 2025-11-20 14:08:50 INFO [Generator] Fetching weights for v12 to shared memory +INFO 11-20 14:08:53 [block_pool.py:321] Successfully reset prefix cache +[Generator-0/1] 2025-11-20 14:08:53 INFO Weight update completed (now v12) +[TRAINING] Step 11: Starting training +Dropping weights @ version 11 +Dropped weights @ version 11, took 0.67 seconds +WandbBackend: Logged 126 metrics at step 12 +=== [global_reduce] - METRICS STEP 12 === + buffer/add/count_episodes_added: 16.0 + buffer/episode_acceptance_rate: 1.0 + buffer/episodes_accepted: 16.0 + buffer/evict/sum_episodes_evicted: 16.0 + buffer/rate_rejected_truncated: 0.0 + 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rl_trainer_perf/step/memory_peak_max_gb: 35.36578989028931 + rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.010909290052950382 + rl_trainer_perf/step/optimizer_step/duration_max_s: 0.010909290052950382 + rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.11634991131722927 + rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.11634991131722927 + rl_trainer_perf/step/total_duration_avg_s: 1.859850506298244 + rl_trainer_perf/step/total_duration_max_s: 1.859850506298244 +============================== + +Traceback (most recent call last): + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run +INFO: Shutting down +INFO: Waiting for application shutdown. +INFO: Application shutdown complete. +INFO: Finished server process [608036] +Shutting down... (this may take a few seconds) +Timeout waiting for rollouts; forcing cancellation... +Shutting down Forge actors... +Shutting down metric logger... +Metric logging fetcher shutdown timed out likely due to the child process being terminated before the parent. +wandb: updating run metadata +wandb: uploading history steps 11-11, summary, console lines 1647-1652 +wandb: +wandb: Run history: +wandb: buffer/add/count_episodes_added █▅▃▂▁▂▂▁▁▁▁ +wandb: buffer/episode_acceptance_rate ▁▁▁▁▁▁▁▁▁▁▁ +wandb: buffer/episodes_accepted █▅▃▂▁▂▂▁▁▁▁ +wandb: buffer/evict/sum_episodes_evicted ▁▂█▅▃▃▂▂▂▂▂▂ +wandb: buffer/rate_rejected_truncated ▁▁▁▁▁▁▁▁▁▁▁ +wandb: buffer/sample/avg_data_utilization ▂▁▁▁▁▂▂▂▂▆██ +wandb: buffer/sample/avg_sampled_policy_age ▁██▇█▅█▃▄▄▃▂ +wandb: buffer/sample/count_sample_requests ▂▁▁▁▁▁▁█▄▄▄▄ +wandb: buffer/sample/max_sampled_policy_age ▁███████████ +wandb: buffer/sample/min_sampled_policy_age ▁█▁▁█▁█▁▁▁▁▁ +wandb: +118 ... +wandb: +wandb: Run summary: +wandb: buffer/add/count_episodes_added 16 +wandb: buffer/episode_acceptance_rate 1 +wandb: buffer/episodes_accepted 16 +wandb: buffer/evict/sum_episodes_evicted 16 +wandb: buffer/rate_rejected_truncated 0 +wandb: buffer/sample/avg_data_utilization 7.93567 +wandb: buffer/sample/avg_sampled_policy_age 0.1875 +wandb: buffer/sample/count_sample_requests 152 +wandb: buffer/sample/max_sampled_policy_age 1 +wandb: buffer/sample/min_sampled_policy_age 0 +wandb: +118 ... +wandb: +wandb: 🚀 View run genial-monkey-94 at: https://wandb.ai/cabernet-team/blackjack-grpo/runs/ae4ah9u2 +wandb: ⭐️ View project at: https://wandb.ai/cabernet-team/blackjack-grpo +wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s) +wandb: Find logs at: ./wandb/run-20251120_140408-ae4ah9u2/logs +WandbBackend global_reduce: Finished run +Shutting down provisioner.. +Shutting down 2 service(s) and 3 actor(s)... +Health loop stopped gracefully. +Traceback (most recent call last): + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run + return self._loop.run_until_complete(task) + ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete + return future.result() + ^^^^^^^^^^^^^^^ + File "/home/felipemello/forge/apps/blackjack/main.py", line 1054, in main + await training_task + File "/home/felipemello/forge/apps/blackjack/main.py", line 1016, in continuous_training + await asyncio.sleep(0.1) + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/tasks.py", line 665, in sleep + return await future + ^^^^^^^^^^^^ +asyncio.exceptions.CancelledError + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "", line 198, in _run_module_as_main + File "", line 88, in _run_code + File "/home/felipemello/forge/apps/blackjack/main.py", line 1098, in + _main() # @parse grabs the cfg from CLI + ^^^^^^^ + File "/home/felipemello/forge/src/forge/util/config.py", line 313, in wrapper + sys.exit(recipe_main(conf)) + ^^^^^^^^^^^^^^^^^ + File "/home/felipemello/forge/apps/blackjack/main.py", line 1096, in _main + asyncio.run(main(cfg)) + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 195, in run + return runner.run(main) + ^^^^^^^^^^^^^^^^ + File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 123, in run + raise KeyboardInterrupt() +KeyboardInterrupt +⚠ Forge shutdown timed out after 10s, forcing exit... From c1482693ba02137426205cce07e83be8a3c19bd5 Mon Sep 17 00:00:00 2001 From: Felipe Mello Date: Thu, 20 Nov 2025 14:13:53 -0800 Subject: [PATCH 10/11] delete debug files --- .../1_requirements_and_context.md | 321 - brainstorming_forge_tau/2_tracker.md | 114 - brainstorming_forge_tau/3_open_questions.md | 358 - brainstorming_forge_tau/3_truncation_v1.md | 1461 - brainstorming_forge_tau/3_truncation_v2.md | 2458 - brainstorming_forge_tau/4_examples_APIs.md | 4395 -- .../5_tutorial_multiturn_toolcalling.md | 2055 - .../6_refactor_structure_for_doc_5.md | 1029 - .../1_message_format_for_tool_calling.md | 168 - .../changes/2_episode_class.md | 189 - .../changes/3_truncation.md | 336 - .../changes/3_truncation_design_decisions.md | 534 - .../changes/3_truncation_v3.md | 627 - .../3_truncation_v4_abstraction_fixes.md | 876 - .../changes/3_truncation_v4_final.md | 860 - .../changes/3_truncation_v5_simplified_env.md | 997 - ...uncation_v6_token_accumulation_insights.md | 635 - 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Here is an example on how we do GRPO at `apps/grpo/main.py`. - -It is still early days and we have multiple blind spots. - -**IMPORTANT UPDATE:** We want to train a model to perform well on tau2bench, but the approach is: -- **Training**: Use OpenEnv Docker sandboxes for tool calling and rewards (NOT Tau2) -- **Evaluation**: Use Tau2Bench to evaluate trained models - -Tau2Bench is **ONLY** for evaluation. Training will happen on OpenEnv environments. - -**My Questions:** -1. Once we have a trained model, how do I run taubench? -2. How do I prepare rewards or data to do well on taubench? Do I look at the scoring done by taubench? Do I try to support the same exact tools in my training? -3. How does taubench score? -4. We currently don't have multiturn or tool calling. How does it work and how do I incorporate it to main.py? -5. What else am I missing? - -**Process Notes:** -- Clean code snippets help me a lot to understand the situation -- Since there is a lot of content here, we won't be able to figure this out in a single conversation, so we will have to do it in steps -- These docs (1, 2, 3) should have all info needed to continue executing and exploring -- I will NOT provide this prompt again explaining my motivations - -**Main Goal:** Come up with **clean code** showing how to go from what we have in Forge (GRPO on single-turn) to a **rollout loop that uses tool calling + multi-turn**. - -Specifically: -1. **Design clear APIs/abstractions** for tool calling episodes -2. **Show concrete code** (not just plans) for: - - Prompt formatting with tools - - Response parsing (tool calls vs messages) - - Multi-turn conversation management - - Episode creation from multi-turn tasks - - Integration with existing Forge GRPO -3. **Enable Tau2Bench evaluation** of the trained model - -**Approach:** -- Study existing examples: OpenEnv BlackJack, Tinker-cookbook tool use -- Extract patterns and best practices -- Synthesize into clean Forge-compatible code -- Provide working implementation, not just design docs - -The deliverable is **code that works**, with clear examples and minimal abstraction complexity. - ---- - -## What is Forge (torchforge)? - -**Location:** `/home/felipemello/forge/` - -Forge is a PyTorch-native agentic RL library focused on enabling rapid research while maintaining scalability. - -### Key Concepts - -**Architecture:** -- **Actors** - Distributed components running RL logic (Generators, Trainers, ReplayBuffers, etc.) -- **Monarch** - Underlying process mesh system for distributed coordination -- **Controllers** - Orchestrate actors and manage lifecycle - -**Core Components:** -- `Generator` - vLLM-based text generation service (uses vLLM v1) -- `TitanTrainer` - Training service for model updates -- `ReplayBuffer` - Stores episodes for training -- `ReferenceModel` - Maintains reference model for KL divergence -- `ForgeActor` - Base class for all actors in the system - -**Current Capabilities:** -- GRPO (Group Relative Policy Optimization) - see `apps/grpo/main.py` -- SFT (Supervised Fine-Tuning) -- Async/sync training modes -- Multi-GPU support with distributed training - -**Current GRPO Flow (apps/grpo/main.py):** -```python -# 1. Setup services -policy = Generator(...) # Generate completions -trainer = TitanTrainer(...) # Train model -replay_buffer = ReplayBuffer(...) # Store episodes -ref_model = ReferenceModel(...) # Reference for KL -reward_actor = RewardActor(...) # Calculate rewards - -# 2. Rollout loop (continuous_rollouts) -prompt, target = sample from dataset -responses = policy.generate(prompt) # Generate G responses -rewards = reward_actor.evaluate(...) # Score each response -ref_logprobs = ref_model.forward(...) # Get reference logprobs -advantages = compute_advantages(...) # Normalize rewards -replay_buffer.add(episode) # Store episode - -# 3. Training loop (continuous_training) -batch = replay_buffer.sample(...) -trainer.train_step(inputs, targets) # Train on batch -trainer.push_weights(version) # Save weights to torchstore -policy.update_weights(version) # Update policy with new weights -``` - -**What Forge Currently Does NOT Have:** -- Multi-turn conversation handling -- Tool/function calling support -- Structured reward functions for tool-based tasks -- Environment interaction patterns (like gym environments) - ---- - -## What is Tau2Bench? - -**Location:** `/home/felipemello/forge/tau2-bench/` - -Tau2Bench is a benchmark for evaluating conversational agents in customer service scenarios. It simulates realistic multi-turn conversations where agents must follow policies, use tools, and interact with users. - -### Key Concepts - -**Domains:** -- `mock` - Simple task management (create_task, update_task) -- `airline` - Flight booking and management -- `retail` - Product orders and returns -- `telecom` - Customer support with technical troubleshooting - -**Two Modes:** -1. **Normal Mode** - Agent converses with user simulator -2. **Solo Mode** - Agent works independently on tickets (no user interaction) - -**Architecture:** -``` -Orchestrator -├── Agent (your model) -├── User Simulator (LLM playing customer) -└── Environment (domain-specific tools and state) -``` - -**Tool Calling Format:** -Agents can either: -- Send text message: `"I'll help you with that"` -- Make tool call: `"search_flights(origin='NYC', destination='LAX')"` -- JSON format: `{"name": "search_flights", "arguments": {"origin": "NYC", "destination": "LAX"}}` - -**Task Structure:** -```json -{ - "id": "create_task_1", - "user_scenario": { - "persona": "Professional communicator", - "instructions": "Create a task called 'Important Meeting' for user_1" - }, - "ticket": "User needs to create a task...", - "evaluation_criteria": { - "actions": [ - { - "action_id": "create_1", - "name": "create_task", - "arguments": {"user_id": "user_1", "title": "Important Meeting"} - } - ], - "reward_basis": ["ACTION", "COMMUNICATE"] - } -} -``` - -**Reward/Scoring System:** - -Tau2 evaluates completed simulations based on multiple criteria: - -1. **ENV** - Environment state checks: - - Database state matches expectations - - Environment assertions pass (e.g., task_id="task_2" has status="pending") - -2. **ACTION** - Tool call verification: - - Agent called the right tools - - With the right arguments (or subset via `compare_args`) - - In any order (not sequence-dependent) - -3. **COMMUNICATE** - Communication checks: - - Agent communicated required information to user - -4. **NL_ASSERTIONS** - Natural language assertions (experimental): - - LLM-based evaluation of conversation quality - -**Final reward** = product of all reward components (0.0 or 1.0 typically, binary success) - -Tasks must end with: -- `AGENT_STOP` - Agent calls `done()` tool -- `USER_STOP` - User says stop keywords -- Otherwise reward = 0.0 - -### Gymnasium Interface - -Tau2 now includes RL training support via `AgentGymEnv`: - -```python -import gymnasium as gym -from tau2.gym import register_gym_agent, TAU_BENCH_ENV_ID - -register_gym_agent() -env = gym.make(TAU_BENCH_ENV_ID, domain="mock", task_id="create_task_1") - -# Observation: conversation history as string -observation, info = env.reset() -# info contains: tools, policy, simulation_run - -# Action: either message or tool call -action = "create_task(user_id='user_1', title='Important Meeting')" -observation, reward, terminated, truncated, info = env.step(action) - -# reward is binary: 1.0 if all criteria met, 0.0 otherwise -``` - -**Key Insight:** The gym interface provides **sparse rewards** - you only get the final reward after the episode terminates (when agent/user stops). - -### Task Splits - -Domains have train/test splits for proper evaluation: -- `base` - Complete task set (original benchmark) -- `train` - Training tasks -- `test` - Held-out evaluation tasks - ---- - ---- - -## What is OpenEnv? - -**Location:** `/home/felipemello/forge/OpenEnv/` - -OpenEnv is a framework for creating isolated execution environments (Docker containers) for agentic RL training. It provides a Gymnasium-style API for any environment. - -### Key Concepts - -**Architecture:** -``` -Client (Forge) ←─HTTP─→ Docker Container (OpenEnv Server) - └─ Environment Logic - └─ Reward Computation - └─ State Management -``` - -**API (Gym-style):** -```python -from envs.coding_env import CodingEnv, CodeAction - -env = CodingEnv.from_docker_image("coding-env:latest") -result = env.reset() # Start episode -result = env.step(CodeAction(...)) # Take action -state = env.state() # Get state -env.close() # Cleanup -``` - -**StepResult:** -```python -@dataclass -class StepResult: - observation: Observation # Environment feedback - reward: float # Immediate reward (can be sparse or dense) - done: bool # Episode terminated? -``` - -**Existing Environments:** -- `echo_env` - Simple message echo (demo) -- `coding_env` - Python code execution -- `openspiel_env` - Games (BlackJack, Chess, TicTacToe, etc.) -- `browsergym_env` - Web browser interaction -- `atari_env` - Atari games -- Many more (70+ total) - -**Important:** OpenEnv environments can run **synchronously** (blocking) or be wrapped for async use. - -### Working Example: GRPO + BlackJack - -A complete working example exists at `/home/felipemello/forge/OpenEnv/examples/grpo_blackjack/` showing Forge + OpenEnv integration. See `4_examples_APIs.md` for detailed analysis of the pattern. - ---- - -## Comparison: Forge GRPO vs OpenEnv vs Tau2 - -| Aspect | Forge GRPO (GSM8K) | OpenEnv Training | Tau2 Evaluation | -|--------|-------------------|------------------|-----------------| -| **Purpose** | Current training | New training approach | Final evaluation | -| **Input** | Single prompt | Game/environment state | Multi-turn conversation | -| **Output** | Single completion | Actions (text or parsed) | Messages + tool calls | -| **Tools** | Not supported | Environment-specific | Domain-specific | -| **Reward** | Per-response | Per-step or per-episode | Sparse, end-of-episode | -| **Episode** | 1 prompt → 1 response | Multi-step game/task | Multi-turn conversation | -| **Use Case** | Math problems | Tool calling, games | Benchmark performance | - ---- - -## File References - -**Forge:** -- Main GRPO (GSM8K): `apps/grpo/main.py` -- Generator: `src/forge/actors/generator.py` -- Trainer: `src/forge/actors/trainer.py` -- Episode dataclass: `apps/grpo/main.py:43-74` - -**OpenEnv (Training):** -- Main README: `OpenEnv/README.md` -- Environments: `OpenEnv/src/envs/` -- **BlackJack Example (KEY!)**: `OpenEnv/examples/grpo_blackjack/` - - `grpo_utils.py` - Complete integration with Forge - - `blackjack.yaml` - Training configuration - - `play_game()` - Episode collection pattern -- Coding Environment: `OpenEnv/src/envs/coding_env/` - -**Tinker-Cookbook (Tool Use Examples):** -- Tool interface: `tinker-cookbook/tinker_cookbook/recipes/tool_use/search/tools.py` -- Search environment: `tinker-cookbook/tinker_cookbook/recipes/tool_use/search/search_env.py` -- Training: `tinker-cookbook/tinker_cookbook/recipes/tool_use/search/train.py` -- Renderers: `tinker-cookbook/tinker_cookbook/renderers.py` - -**Tau2 (Evaluation Only):** -- Main README: `tau2-bench/README.md` -- Evaluation command: `tau2 run --domain --agent-llm --user-llm ` -- Gym README: `tau2-bench/src/tau2/gym/README.md` -- Evaluator: `tau2-bench/src/tau2/evaluator/evaluator.py` -- Task structure: `tau2-bench/src/tau2/data_model/tasks.py` -- Example tasks: `tau2-bench/data/tau2/domains/mock/tasks.json` - -**Example APIs:** -- **4_examples_APIs.md** - Complete analysis of BlackJack and Tinker patterns with proposed Forge API diff --git a/brainstorming_forge_tau/2_tracker.md b/brainstorming_forge_tau/2_tracker.md deleted file mode 100644 index d817573db..000000000 --- a/brainstorming_forge_tau/2_tracker.md +++ /dev/null @@ -1,114 +0,0 @@ -# Tracker - Forge + Tau2 Integration - -## Document Status - -### Completed Documents -- ✅ `1_requirements_and_context.md` - UPDATED with clarified goal and OpenEnv approach -- ✅ `2_tracker.md` - This file -- ✅ `3_open_questions.md` - Open questions -- ✅ `4_examples_APIs.md` - **NEW!** Complete analysis of BlackJack + Tinker patterns - -### In Progress -- 🔄 Understanding tool calling in vLLM and OpenEnv -- 🔄 Understanding BlackJack→ToolCalling adaptation - -### Planned -- ⏳ Design doc: Tool calling environment for OpenEnv -- ⏳ Design doc: Adapting BlackJack pattern for tool calling -- ⏳ Design doc: Tau2 evaluation integration -- ⏳ Implementation plan: Step-by-step changes -- ⏳ Code snippets: Example implementations - ---- - -## Current Focus - -**MAJOR UPDATE: Training Strategy Changed!** - -**Previous assumption:** Train using Tau2's gym environment -**New approach:** -- **Training**: Use OpenEnv Docker sandboxes (NOT Tau2) -- **Evaluation**: Use Tau2 to benchmark trained models - -**Phase 1: Understand Patterns & Design API (Current)** -- ✅ Analyzed OpenEnv BlackJack example -- ✅ Analyzed Tinker-cookbook tool use example -- ✅ Created comprehensive comparison in `4_examples_APIs.md` -- 🔄 Next: Prototype the proposed API with actual code - ---- - -## Next Steps - -1. **Prototype Response Parsing** (Immediate) - - Implement `parse_response()` function - - Test both tag format and function-call format - - Handle edge cases - - Create: `5_response_parsing.py` (working code) - -2. **Prototype `play_task()` Loop** (Immediate) - - Implement multi-turn rollout function - - Handle tool calls and messages - - Track conversation history - - Create: `6_play_task_loop.py` (working code) - -3. **Create Simple Tool Environment** (Next) - - Build minimal OpenEnv tool-calling environment - - Support 2-3 simple tools (search, calculate, etc.) - - Define reward function - - Create: `7_simple_tool_env/` (working environment) - -4. **Integration with Forge GRPO** (After prototypes work) - - Adapt Episode dataclass - - Integrate `play_task()` into continuous_rollouts - - Test end-to-end training - - Create: `8_forge_integration.py` (working example) - -5. **Tau2 Evaluation** (Final) - - Figure out local model evaluation - - Create evaluation script - - Document process - - Create: `9_tau2_eval.py` (evaluation runner) - ---- - -## Questions Resolved - -*(None yet - see 3_open_questions.md)* - ---- - -## Observations & Insights - -**Key Patterns Identified** (See `4_examples_APIs.md` for detailed analysis): - -1. **Working Integration Example**: OpenEnv BlackJack shows complete Forge + OpenEnv integration -2. **Training ≠ Evaluation**: Use OpenEnv for training (flexible, custom rewards), Tau2 for evaluation (standard benchmark) -3. **Text-based Actions**: Parsing actions from LLM text output works (proven in BlackJack) -4. **Sparse Rewards Pattern**: Final reward assigned to all steps (matches Tau2's structure) -5. **Multiple Reference Patterns**: BlackJack (simpler, Forge-proven) vs Tinker-cookbook (structured) vs VERL/NeMo-RL (production-scale) - -See `4_examples_APIs.md` for complete code examples and detailed comparisons. - ---- - -## Session Log - -### Session 1 -- **Date:** 2025-11-11 (Part 1) -- **Created:** Initial context docs (1, 2, 3) -- **Explored:** - - Forge GRPO implementation - - Tau2 gym interface and scoring -- **Major Update:** Learned that training will use OpenEnv (not Tau2)! -- **Discovered:** Working BlackJack example that integrates OpenEnv + Forge - -### Session 1 (Continuation) -- **Date:** 2025-11-11 (Part 2) -- **Goal Clarified:** Need clean code showing rollout loop with tool calling + multi-turn -- **Created:** `4_examples_APIs.md` - Complete analysis of existing patterns -- **Analyzed:** - - OpenEnv BlackJack: `play_game()` pattern, text parsing, episode structure - - Tinker-cookbook: Tool schemas, message history, environment step flow -- **Proposed:** Synthesized Forge API combining best of both approaches -- **Next:** Prototype response parsing and play_task() loop with actual code diff --git a/brainstorming_forge_tau/3_open_questions.md b/brainstorming_forge_tau/3_open_questions.md deleted file mode 100644 index 32b45c4de..000000000 --- a/brainstorming_forge_tau/3_open_questions.md +++ /dev/null @@ -1,358 +0,0 @@ -# Open Questions (UPDATED) - -**MAJOR UPDATE:** Training approach changed from Tau2 to OpenEnv. Many questions are now obsolete or need reframing. - ---- - -## Critical Path Questions - -### Q1: How does vLLM support tool/function calling? -**Status:** 🔴 Not Answered - -**What we need to know:** -- Does vLLM v1 natively support function calling? -- How to enable it in Forge's Generator? -- What's the output format? -- Can we parse tool calls from text output (like BlackJack does)? - -**Why it matters:** -Tool calling is the core capability we're training. We need to know if vLLM handles it natively or if we parse from text. - -**BlackJack shows text parsing works:** -```python -response = await policy.generate(prompt) # "HIT" or "STAND" -action_id = parse_action(response.text) # Parse from text -``` - -**Can we do similar for tools?** -```python -response = await policy.generate(prompt) # "search_flights(origin='NYC')" -tool_call = parse_tool_call(response.text) -``` - -**Next steps:** -- Check vLLM v1 docs for function calling -- Test with simple tool call generation -- Document findings in `4_vllm_tool_calling.md` - ---- - -### Q2: How to adapt BlackJack pattern for tool calling? -**Status:** 🔴 Not Answered - -**What we need to know:** -- Current: `format_prompt()` → `generate()` → `parse_action()` → `env.step()` -- Needed: How to format prompts with tool definitions? -- How to parse tool calls from responses? -- How to map tool calls to OpenEnv actions? - -**BlackJack Pattern:** -```python -async def play_game(...): - env = OpenSpielEnv(base_url=server_url) - result = env.reset() - - while not done: - # 1. Format prompt - prompt = format_prompt(step_num, action_history, tokenizer) - - # 2. Generate - responses = await policy.generate.route(prompt) - - # 3. Parse action - action_id = parse_action(response.text, obs.legal_actions) - - # 4. Execute - result = env.step(OpenSpielAction(action_id=action_id)) - - # Store step data - game_steps.append({...}) - - # Assign final reward to all steps - return all_step_results -``` - -**Needed Tool Calling Pattern:** -```python -async def play_task(...): - env = ToolCallingEnv(base_url=server_url) - result = env.reset() - while not done: - prompt = format_prompt_with_tools(task, tools, history, tokenizer) - responses = await policy.generate.route(prompt) - - if is_tool_call(response.text): - tool_call = parse_tool_call(response.text) - result = env.step(ToolCallAction(tool_call)) - else: - result = env.step(MessageAction(response.text)) - - task_steps.append({...}) - return all_step_results -``` -*(See `4_examples_APIs.md` for complete implementation)* - -**Next steps:** -- Study `format_prompt()` in grpo_utils.py -- Design `format_prompt_with_tools()` -- Implement `parse_tool_call()` -- Document pattern - ---- - -### Q3: What tool-calling environment should we use for training? -**Status:** 🔴 Not Answered - -**What we need to know:** -- Is there an existing OpenEnv tool-calling environment? -- Should we create one ourselves? -- What tools should it support? -- How should rewards work? - -**Options:** - -**Option A: Use coding_env** -- Already exists! -- Executes Python code -- Could frame tool calls as function executions -- Reward based on test passing? - -**Option B: Create custom tool env** -- Define specific tools (search, book_flight, etc.) -- More aligned with Tau2 eval -- More work to build - -**Option C: Wait for OpenEnv team to build one** -- Cleanest solution -- May take time -- Dependencies on external team - -**Requirements for the environment:** -- Accept tool calls as actions -- Execute tools safely (Docker sandbox) -- Return observations (tool results) -- Provide rewards (task completion?) -- Support multiple tools per task - -**Next steps:** -- Check if tool-calling env is being built -- Prototype simple version -- Define tool set and reward function -- Document in `5_tool_calling_env_design.md` - ---- - -### Q4: How to run Tau2 evaluation on trained model? -**Status:** 🔴 Not Answered - -**What we need to know:** -- How to point Tau2 CLI to local model checkpoint? -- Does it support local models or only API models? -- What format does checkpoint need to be in? -- Can we run programmatically (not just CLI)? - -**From Tau2 README:** -```bash -tau2 run \ - --domain airline \ - --agent-llm gpt-4.1 \ - --user-llm gpt-4.1 \ - --task-split base -``` - -**Questions:** -- Can `--agent-llm` point to local model? -- Format: `--agent-llm /path/to/checkpoint`? -- Or need to serve via vLLM first? -- How to integrate with Forge checkpoints? - -**Next steps:** -- Read Tau2 agent documentation -- Test with local model -- Document in `6_tau2_eval_integration.md` - ---- - -### Q5: How to structure episodes for multi-step tool calling? -**Status:** 🟡 Partially Answered (BlackJack shows the way) - -**What we know from BlackJack:** -- One Episode per step (not per game) -- All steps in a game get the same final reward -- Episode includes: episode_id, game_id, step_in_game, completion, ref_logprobs, reward, advantage - -*(See BlackJack example in `4_examples_APIs.md` for full Episode dataclass)* - -**What we still need:** -- How to handle tool results in prompts? -- Do we include tool results in the completion? -- How to track conversation history across steps? - -**Next steps:** -- Prototype Episode structure for tool calling -- Test with simple example - ---- - -## Secondary Questions - -### Q6: Do we need vLLM's native tool calling or is text parsing enough? -**Status:** 🔴 Not Answered - -**Trade-offs:** - -**Text Parsing (BlackJack approach):** -- ✅ Simpler to implement -- ✅ Already proven to work -- ✅ Model learns to format correctly -- ❌ May have parsing errors -- ❌ Less structured - -**Native vLLM Tool Calling:** -- ✅ More structured output -- ✅ Guaranteed valid JSON -- ✅ Industry standard -- ❌ More complex setup -- ❌ May not work with all models - -**Recommendation:** Start with text parsing (proven), migrate to native if needed. - ---- - -### Q7: How to align OpenEnv training tools with Tau2 evaluation tools? -**Status:** 🔴 Not Answered - -**The dilemma:** -- Training: Custom tools in OpenEnv -- Evaluation: Fixed tools in Tau2 domains - -**Should the tools match exactly?** - -**Option A: Exact match** -- Training tools = Tau2 tools -- Ensures consistency -- But limits training flexibility - -**Option B: Superset** -- Training includes Tau2 tools + more -- More diverse training -- May not transfer perfectly - -**Option C: Different tools, same patterns** -- Focus on tool calling *skill* -- Not specific tools -- Rely on generalization - -**Next steps:** -- List Tau2 tools by domain -- Design training tool set -- Decide on strategy - ---- - -### Q8: What's the reward function for tool calling? -**Status:** 🔴 Not Answered - -**BlackJack uses game outcome:** `reward = float(game_reward) # +1 (win), -1 (loss), 0 (push)` - -**For tool calling, options:** -- **Option A: Binary** - `1.0 if task_completed else 0.0` -- **Option B: Shaped** - Partial credit for correct tool + correct args + completion -- **Option C: LLM-as-judge** - `reward = llm_judge_quality(task, execution, output)` - -**Next steps:** -- Experiment with reward functions -- Measure what works best -- Document findings - ---- - -### Q9: How to run periodic Tau2 eval during training? -**Status:** 🔴 Not Answered (Nice to have, not required) - -**Desired flow:** Run Tau2 evaluation every N training steps to track progress - -**Challenges:** -- Tau2 eval may be slow -- May block training -- Need to run in separate process? - -**Next steps:** -- Prototype tau2 eval wrapper -- Measure evaluation time -- Decide if worth implementing - ---- - -## Questions for Admin - -*(User decisions needed)* - -### Admin Q1: Which tool-calling environment should we start with? -**Options:** -- (A) Use existing `coding_env` and frame tools as code execution -- (B) Build simple custom tool environment (e.g., search + book) -- (C) Wait for OpenEnv team to build proper tool env -- (D) Other suggestion? - -**Recommendation:** (B) Build simple version to unblock training ASAP. - ---- - -### Admin Q2: Should training tools match Tau2 evaluation tools exactly? -**Options:** -- (A) Yes, use identical tools for training and eval -- (B) No, use broader set in training, Tau2 tools in eval -- (C) Use different tools entirely, rely on generalization - -**Implications:** -- (A) = Safest transfer, but limited training diversity -- (B) = More diverse training, may not transfer perfectly -- (C) = Most general, highest risk - -**Recommendation:** Start with (A), expand to (B) if needed. - ---- - -### Admin Q3: Reward function preference? -**Options:** -- (A) Binary (task completed or not) -- (B) Shaped rewards (partial credit) -- (C) LLM-as-judge -- (D) Hybrid - -**Recommendation:** Start with (B) shaped rewards for faster learning. - ---- - -### Admin Q4: Priority on periodic Tau2 eval? -**Options:** -- (A) High - implement in first version -- (B) Medium - add after basic training works -- (C) Low - only eval at end - -**User said:** Nice to have, not must have → Answer is (B) or (C) - ---- - -## Resolved Questions - -### Q_RESOLVED: Should we use Tau2 for training? -**Answer:** No! Use OpenEnv for training, Tau2 only for evaluation. - -**Source:** User clarification in conversation. - -**Date:** 2025-11-11 - -**Implications:** Drastically simplifies the problem. We already have a working example (BlackJack) to build from. - ---- - -### Q_RESOLVED: Do we need multi-turn conversation during training? -**Answer:** Depends on environment. BlackJack doesn't have "user" but plays full games. Tool-calling env may or may not need conversational user. - -**Source:** BlackJack example analysis. - -**Date:** 2025-11-11 - -**Implications:** Can use simpler task-based episodes without full Tau2-style user simulation. diff --git a/brainstorming_forge_tau/3_truncation_v1.md b/brainstorming_forge_tau/3_truncation_v1.md deleted file mode 100644 index 7b693bbf2..000000000 --- a/brainstorming_forge_tau/3_truncation_v1.md +++ /dev/null @@ -1,1461 +0,0 @@ -# Max Seq Len and Truncation Strategies Across Frameworks - -## Key Findings: How Different Frameworks Handle max_seq_len and Truncation - -### 1. TRL (Example: catch.py, wordle.py) - Token Concatenation Pattern - -**File:** `4_examples_APIs.md:3062-3070` - -```python -# EACH TURN adds to the same lists -episode_prompt_ids.extend(result["prompt_ids"][0]) -episode_completion_ids.extend(result["completion_ids"][0]) -episode_logprobs.extend(result["logprobs"][0]) -``` - -**Key points:** -- Concatenates all turns into ONE sequence -- max_seq_len applies to ENTIRE episode (not per turn) -- Truncation happens at EPISODE level (if total tokens > max_seq_len) -- No explicit truncation handling shown in examples -- Risk: Long episodes could exceed model's context window - ---- - -### 2. VERL - Explicit Max Length Tracking - -**File:** `4_examples_APIs.md:1226-1228` - -```python -# Check termination conditions -if not ignore_termination and len(agent_data.response_mask) >= self.response_length: - return AgentState.TERMINATED -``` - -**Key points:** -- Tracks cumulative response length across turns: `len(agent_data.response_mask)` -- Terminates episode when hitting `max_seq_len` -- `response_length` is the max allowed tokens for ENTIRE episode -- Prevents exceeding model limits by early termination - -**Tool result truncation:** -```yaml -multi_turn: - max_tool_response_length: 2048 - tool_response_truncate_side: "left" # or "right" or "middle" -``` - -```python -# File: verl/experimental/agent_loop/tool_agent_loop.py:1360-1367 -if len(tool_response_text) > self.max_tool_response_length: - if self.tool_response_truncate_side == "left": - tool_response_text = tool_response_text[:max_len] + "...(truncated)" - elif self.tool_response_truncate_side == "right": - tool_response_text = "(truncated)..." + tool_response_text[-max_len:] - else: # middle - half = max_len // 2 - tool_response_text = tool_response_text[:half] + "...(truncated)..." + tool_response_text[-half:] -``` - ---- - -### 3. NeMo-RL - Dynamic Tool Result Truncation - -**File:** `RL/nemo_rl/experience/rollouts.py:721-726` - -```python -# Check for sequence length overflow -if input_lengths + gen_token_count + len(tokenized_obs) >= max_seq_len: - # Truncate environment observation to fit budget - max_env_tokens = max_seq_len - input_lengths - gen_token_count - if max_env_tokens > 0: - tokenized_obs = tokenized_obs[:max_env_tokens] - else: - tokenized_obs = torch.tensor([], dtype=torch.int64) -``` - -**Key points:** -- max_seq_len applies to full episode (all turns concatenated) -- max_rollout_turns limits number of turns (orthogonal to seq_len) -- Dynamic tool/env truncation: Truncates tool results to fit remaining budget -- Truncation strategy: Left-truncation (keeps most recent tokens) - ---- - -### 4. Verifiers/PRIME-RL - Multi-Turn with Max Turns Limit - -**File:** `4_examples_APIs.md:2660` - -```python -class ToolEnv(MultiTurnEnv): - def __init__(self, tools: list[Callable], max_turns: int = 10, **kwargs): -``` - -**Key points:** -- `max_turns` limits number of interactions (not token count!) -- No explicit `max_seq_len` - episodes end when: - 1. Assistant responds without tool calls - 2. Max turns reached - 3. Task completed -- Tool responses can be truncated: - -```python -# File: 4_examples_APIs.md:1358-1368 -if tool_response_text and len(tool_response_text) > self.max_tool_response_length: - if self.tool_response_truncate_side == "left": - tool_response_text = tool_response_text[:self.max_tool_response_length] + "...(truncated)" - elif self.tool_response_truncate_side == "right": - tool_response_text = "(truncated)..." + tool_response_text[-self.max_tool_response_length:] -``` - ---- - -### 5. Tinker-Cookbook - All-or-Nothing Termination - -**UPDATED WITH ACTUAL CODE ANALYSIS** - -#### How Prompts are Built - -**File:** `tinker-cookbook/tinker_cookbook/renderers.py` (Qwen3Renderer example) - -```python -def build_generation_prompt( - self, messages: list[Message], role: Role = "assistant", prefill: str | None = None -) -> tinker.ModelInput: - """Build prompt for generation from message history.""" - tokens: list[int] = [] # No BOS token for Qwen - for idx, message in enumerate(messages): - ob_part, action_part, _ = self._render_message(idx, message) - tokens.extend(ob_part) # Add observation part - tokens.extend(action_part) # Add action part - # Add generation prompt - new_partial_message = Message(role=role, content="") - ob_part, _, _ = self._render_message(len(messages), new_partial_message) - tokens.extend(ob_part) - tokens.extend(self.tokenizer.encode(prefill or "", add_special_tokens=False)) - return tinker.ModelInput.from_ints(tokens) -``` - -**Key insight:** NO `apply_chat_template` - They manually build prompts by iterating messages! - -#### How max_tokens is Enforced - -**File:** `tinker-cookbook/tinker_cookbook/completers.py:50-74` - -```python -@dataclass -class TinkerTokenCompleter(TokenCompleter): - sampling_client: tinker.SamplingClient - max_tokens: int - - async def __call__( - self, model_input: tinker.ModelInput, stop: StopCondition - ) -> TokensWithLogprobs: - """Sample an action from the policy given an observation.""" - sample_result = await self.sampling_client.sample_async( - prompt=model_input, - num_samples=1, - sampling_params=tinker.SamplingParams(stop=stop, max_tokens=self.max_tokens), - ) -``` - -**Key points:** -- `max_tokens` is at completer level (not environment level) -- Passed to `SamplingParams(max_tokens=self.max_tokens)` -- Limits only generation length per turn, NOT prompt length -- No enforcement of total sequence length - -#### Multi-Turn Truncation Strategy - -**File:** `tinker-cookbook/tinker_cookbook/recipes/tool_use/search/search_env.py:185-191` - -```python -async def step(self, action: Action) -> StepResult: - message, parse_success = self.renderer.parse_response(action) - self.past_messages.append(message) - - if "tool_calls" in message: - tool_return_message = await self.call_search_tool(message["tool_calls"][0]) - self.past_messages.extend(tool_return_message) - - # Rebuild prompt from FULL history - next_observation = self.renderer.build_generation_prompt(self.past_messages) - - # Check if exceeded max length - if next_observation.length > self.max_trajectory_tokens: - return StepResult( - reward=0.0, - episode_done=True, # TERMINATE with failure - next_observation=tinker.ModelInput.empty(), - ) -``` - -**Constructor:** -```python -class SearchEnv(ProblemEnv): - def __init__(self, ..., max_trajectory_tokens: int = 32 * 1024): - self.past_messages: list[renderers.Message] = [] - self.max_trajectory_tokens = max_trajectory_tokens -``` - -**Key points:** -- Full history maintained in `self.past_messages` -- Prompts rebuilt from scratch each turn with ALL messages -- All-or-nothing: If `next_observation.length > max_trajectory_tokens`, episode terminates with failure -- No tool result truncation - accepts results as-is -- Default: 8K tokens (configurable, code shows 32K max) - -#### What They Track - -**File:** `tinker-cookbook/tinker_cookbook/rl/rollouts.py:48-79` - -```python -rows.append({ - "step": t_idx, - "ob_len": t.ob.length, # Prompt length at this step - "ac_len": len(t.ac.tokens), # Response length - "reward": f"{t.reward:.3f}", -}) -``` - -- Log `ob.length` and `ac_len` per step for diagnostics only -- NOT used for truncation decisions -- Only for metrics reporting - ---- - -### 6. Your Current Plan (PLAN.md) - Detection but No Strategy - -**File:** `PLAN.md:649-663` - -```python -# Check if response was truncated by max_tokens -if response.stop_reason == "length": - # Response was cut off by max_tokens - has_truncated_response = True - # Mark for tracking, but continue game - record_metric("game/truncated_response_rate", 1, Reduce.MEAN) -``` - -**Issues:** -- Detects truncation but doesn't prevent episode from growing too long -- No cumulative token tracking across turns -- Risk: Episode could exceed total `max_seq_len` even if individual turns don't truncate - ---- - -## Summary Table: How Libraries Handle max_seq_len - -| Library | max_seq_len Scope | Truncation Strategy | Tool Result Handling | Prompt Building | -|---------|-------------------|---------------------|----------------------|-----------------| -| **TRL** | Entire episode | None - relies on vLLM max_model_len | No truncation | `apply_chat_template` per turn | -| **VERL** | Entire episode | Early termination + tool truncation | 3 modes: left/right/middle | Manual/SGLang | -| **NeMo-RL** | Entire episode | Dynamic tool truncation to fit budget | Left-truncate to remaining budget | `apply_chat_template` per turn | -| **PRIME-RL/Verifiers** | N/A (uses max_turns) | No episode-level limit | No truncation | `apply_chat_template` with tools | -| **Tinker** | 8K default | All-or-nothing termination | No truncation, episode fails if exceeded | Manual token concat | - ---- - -## Answers to Your Questions - -### Q1: "So we would only have max_seq_len, truncate prompt, and dynamically set limit to generate?" - -**YES, with clarifications:** - -**What "max_seq_len" means:** -- Total token budget for ENTIRE episode (all turns concatenated) -- Includes: all prompts + all responses + all tool results across ALL turns -- Example: `max_seq_len=2048` means episode terminates when cumulative tokens ≥ 2048 - -**Two patterns observed:** - -#### **Option A: Tinker Pattern (Simpler)** -- Build prompt from full message history each turn -- Check if prompt exceeds `max_seq_len` → terminate if so -- Calculate remaining budget and set `max_tokens` dynamically -- NO prompt truncation - always use full history - -#### **Option B: VERL Pattern (More Explicit)** -- Track cumulative tokens in lists: `all_token_ids`, `all_logprobs`, `response_mask` -- Check if adding next prompt would exceed limit → terminate early -- Calculate remaining budget per turn -- Build response masks for training -- More bookkeeping, but safer - -### Q2: "Is this how others do it?" - -**Yes, most libraries use one of these patterns:** - -| Library | Approach | -|---------|----------| -| **Tinker** | Option A - Terminate if exceeds limit | -| **VERL** | Option B - Track cumulative, terminate early | -| **NeMo-RL** | Option B - Dynamic tool truncation | -| **TRL** | No explicit handling (relies on vLLM limits) | -| **Verifiers** | `max_turns` only, no token limit | - -**Recommendation:** Start with Option A for simplicity. Use Option B if you need explicit token tracking for training. - -### Q3: "We would need to truncate prompt?" - -**NO - Don't truncate the prompt (no sliding window).** - -**Why not:** -1. Tinker/VERL rebuild from full history every turn - no truncation -2. Truncating loses context (model can't see previous tool results) -3. Makes training inconsistent - -**What to do instead:** -- Terminate episode early if prompt would exceed `max_seq_len` -- Track cumulative length (Option B) or check prompt length each turn (Option A) -- Adjust `max_turns` to keep episodes within budget -- Tune `max_seq_len` based on task requirements - -**When you SHOULD truncate:** -- **Tool results** (VERL & NeMo-RL do this): - ```python - # Fixed-length truncation - if len(tool_result) > 1024: - tool_result = tool_result[:1024] + "...(truncated)" - - # Dynamic truncation to fit remaining budget - remaining_budget = max_seq_len - (prompt_len + generated_len) - if len(tool_result_tokens) > remaining_budget: - tool_result_tokens = tool_result_tokens[:max(0, remaining_budget)] - ``` - -### Q4: "For policy.generate, max_tokens is not an arg, but now we have sampling_params" - -**CORRECT!** Pass `max_tokens` via `sampling_params` dict: - -```python -# Correct way -response = await policy.generate.route( - prompt_text, - sampling_params={"max_tokens": turn_max_tokens} -) -``` - -**How it works:** The dict is unpacked into vLLM's `SamplingParams`: -```python -# Inside Generator._generate() in forge/actors/generator.py -outputs = await self._engine.generate( - prompts=[prompt_ids], - sampling_params=SamplingParams(**sampling_params), -) -``` - -**Available sampling_params:** -- `max_tokens`, `temperature`, `top_p`, `top_k`, `stop`, etc. (all vLLM SamplingParams) - -## Recommended Strategy for Forge - -### Simple Implementation Pattern - -**Use Option B (explicit tracking) for better control:** - -```python -async def play_game( - game_idx: int, - game_id: str, - server_url: str, - policy: Generator, - tokenizer, - max_seq_len: int = 2048, - max_turns: int = 10, - rollout_count: int = 0, -) -> Episode: - messages = [{"role": "system", "content": "You are a blackjack expert..."}] - - # Track tokens - all_tokens = [] - all_logprobs = [] - response_mask = [] - - env = OpenSpielEnv(base_url=server_url) - result = env.reset() - - for turn in range(max_turns): - if result.done: - break - - # Build prompt from messages - user_message = format_game_state(result.observation) - messages.append({"role": "user", "content": user_message}) - - prompt_text = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=False - ) - - # Tokenize to check length - prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) - - # Check if prompt exceeds budget - if len(all_tokens) + len(prompt_tokens) >= max_seq_len: - record_metric("game/truncated_episode_rate", 1, Reduce.MEAN) - break - - # Calculate budget for response - remaining = max_seq_len - (len(all_tokens) + len(prompt_tokens)) - turn_max_tokens = min(256, remaining) - - # Safety check for negative or very small budgets - if turn_max_tokens <= 0: - break - - # Generate - responses = await policy.generate.route( - [prompt_text], - sampling_params={"max_tokens": turn_max_tokens} - ) - response = responses[0] - - # Accumulate - all_tokens.extend(prompt_tokens) - all_tokens.extend(response.token_ids) - response_mask.extend([0] * len(prompt_tokens)) - response_mask.extend([1] * len(response.token_ids)) - all_logprobs.extend([0.0] * len(prompt_tokens)) - all_logprobs.extend(response.logprobs) - - # Add assistant response - messages.append({"role": "assistant", "content": response.text}) - - # Parse action and step env - action = parse_action(response.text) - result = env.step(OpenSpielAction(action_id=action, game_name="blackjack")) - - # Create episode - episode = Episode( - episode_id=game_id, - all_token_ids=torch.tensor(all_tokens, dtype=torch.long), - logprobs=torch.tensor(all_logprobs, dtype=torch.float), - response_mask=torch.tensor(response_mask, dtype=torch.float), - reward=result.reward, - ... - ) - - return episode -``` - -**Key points:** -- Use `tokenizer.apply_chat_template()` each turn -- Track cumulative tokens -- Dynamically set `max_tokens` via `sampling_params` -- Terminate early if budget exceeded -- No prompt truncation, use full message history - -### For Future Tool Calling - -Same pattern, but add tool results to messages: - -```python -# After generating -if has_tool_call(response.text): - tool_call = parse_tool_call(response.text) - messages.append({ - "role": "assistant", - "content": response.text, - "tool_calls": [tool_call] - }) - - # Execute tool - tool_result = await execute_tool(tool_call) - - # Truncate long tool results (recommended!) - max_tool_len = 1024 - if len(tool_result) > max_tool_len: - tool_result = tool_result[:max_tool_len] + "...(truncated)" - record_metric("tool/truncated_result_rate", 1, Reduce.MEAN) - - messages.append({ - "role": "tool", - "content": tool_result - }) - - # Continue loop - reformats with updated messages -``` - ---- - -## Key Recommendations - -1. Use explicit token tracking (Option B pattern) for better control -2. Set `max_seq_len` conservatively (e.g., 2048 for blackjack, 4096 for tool calling) -3. Always use `tokenizer.apply_chat_template()` in rollout loop -4. Pass `max_tokens` via `sampling_params` dict -5. Track cumulative tokens to prevent exceeding budget -6. Don't truncate prompts - terminate episode instead -7. DO truncate tool results to control their size -8. Log truncation events for debugging - - -# Key Takeaways & Follow-ups - -## Critical Bugs to Address - -### 1. Empty Budget Can Cause Negative max_tokens Error - -**Problem:** -```python -remaining_budget = max_seq_len - (len(all_token_ids) + len(prompt_tokens)) -turn_max_tokens = min(256, remaining_budget) # Can be negative! -``` - -**Fix:** -```python -remaining = max_seq_len - (len(all_tokens) + len(prompt_tokens)) -if remaining <= 0: # Check BEFORE min() - record_metric("episode/terminated_zero_budget", 1, Reduce.MEAN) - break -turn_max_tokens = min(256, remaining) -``` - -### 2. Mid-Tool-Call Truncation Corrupts Training Data - -**Problem:** If `max_tokens` cuts off response mid-tool-call: -``` -{"name": "search", "args": {"query": "Pytho[TRUNCATED] -``` -- Tool call is incomplete → parsing fails -- But `response_mask` still has `[1, 1, 1, ...]` -- We train on corrupted output! - -**Fix:** -```python -if response.stop_reason == "length": - # Detect incomplete tool call - has_tool_start = "" in response.text - has_tool_end = "" in response.text - - if has_tool_start and not has_tool_end: - record_metric("episode/truncated_mid_tool_call", 1, Reduce.MEAN) - break # Terminate episode, don't add to buffer -``` - -### 3. Reference Model Variable Sequence Lengths - -**Current issue:** `max_req_tokens` is fixed, but multi-turn episodes have variable lengths. - -**Fix:** Pass actual sequence length to ref model: -```python -for episode in episodes: - seq_len = len(episode.all_token_ids) - ref_logprobs = await ref_model.forward.route( - episode.all_token_ids.unsqueeze(0), # [1, seq_len] - prompt_len=0, # Use response_mask instead - return_logprobs=True - ) -``` - ---- - -## Important Implementation Details - -### Multiple Tool Calls Count as 1 Turn - -**Both VERL and Verifiers do this:** -- Execute all tool calls in parallel -- Add all tool results to messages at once -- Token budget: `len(assistant_msg) + sum(len(tool_result) for each tool)` - -```python -if response.tool_calls: - # Execute all - tool_results = [await execute_tool(tc) for tc in response.tool_calls] - # Truncate each - tool_results = [tr[:max_len] + "..." if len(tr) > max_len else tr - for tr in tool_results] - # Add all to messages - messages.extend([{"role": "tool", "content": tr} for tr in tool_results]) -``` - -### vLLM Prefix Caching - Must Enable! - -**Critical optimization for multi-turn:** -```yaml -policy: - engine_args: - enable_prefix_caching: true # 2-3x speedup -``` - -**How it works:** Caches KV tensors for shared prompt prefixes across turns -- Turn 1: `[system, user1]` -- Turn 2: `[system, user1, assist1, tool1, user2]` ← first 3 cached -- Turn 3: `[system, user1, assist1, tool1, user2, assist2, tool2, user3]` ← first 7 cached - ---- - -## Required Config Changes - -Add to `apps/blackjack/qwen3_1_7b.yaml`: - -```yaml -blackjack_env: - max_seq_len: 2048 # Total episode token budget - max_turns: 10 # Max turns per episode - max_tool_result_length: 1024 # Truncate tool results - -policy: - engine_args: - enable_prefix_caching: true # Critical for multi-turn - max_model_len: 4096 -``` - -In `main.py`: -```python -max_seq_len = cfg.blackjack_env.get("max_seq_len", 2048) -max_turns = cfg.blackjack_env.get("max_turns", 10) -max_tool_result_length = cfg.blackjack_env.get("max_tool_result_length", 1024) - -# Validation -assert max_seq_len <= cfg.policy.engine_args.max_model_len -``` - ---- - -## Environment-Specific Budgets (Future) - -Different tasks need different budgets: - -| Environment | `max_seq_len` | `max_tool_result_length` | Reason | -|------------|---------------|--------------------------|---------| -| **Blackjack** | 2048 | 0 (no tools) | Simple game, short episodes | -| **Coding** | 4096 | 1024 | Code output moderate length | -| **WebSearch** | 8192 | 2048 | Search results can be long | - -**Implementation:** Use per-environment config or dynamic budgets per tool type. - ---- - -## Key Metrics to Track - -**For debugging truncation:** - -```python -# Episode-level -record_metric("episode/total_tokens", len(all_tokens), Reduce.MEAN) -record_metric("episode/num_turns", num_turns, Reduce.MEAN) -record_metric("episode/truncation_rate", 1 if truncated else 0, Reduce.MEAN) - -# Turn-level -record_metric("turn/remaining_budget", remaining_budget, Reduce.MEAN) - -# Critical errors -record_metric("episode/truncated_mid_tool_call", 1, Reduce.MEAN) -record_metric("episode/terminated_zero_budget", 1, Reduce.MEAN) -``` - ---- - -## Follow-up Questions - -1. **Training quality:** Should we filter out truncated episodes or down-weight their advantages? -2. **Tool result truncation:** Fixed-length (1024) or dynamic based on remaining budget? -3. **Truncation strategy:** Should we have per-tool budgets (e.g., search=2048, execute=512)? -4. **Episode metadata:** Do we need to track `truncated` flag and `truncation_reason` for debugging? - ---- - -## Main Learnings - -1. **No prompt truncation** - terminate episode instead (Tinker/VERL approach) -2. **Always check remaining budget before `min()`** - avoid negative max_tokens -3. **Detect incomplete tool calls** - don't train on corrupted data -4. **Enable prefix caching** - 2-3x speedup for multi-turn -5. **Truncate tool results** - they grow the prompt quickly -6. **Track cumulative tokens** - prevent exceeding budget mid-episode -7. **Use `sampling_params` dict** - pass `max_tokens` dynamically per turn - ---- - -## Open Questions from User Discussion - -### Q1: When to Call tokenizer.encode()? (Inside or Outside While Loop?) - -**Current recommendation (line 393):** -```python -for turn in range(max_turns): - # Build prompt from messages - prompt_text = tokenizer.apply_chat_template(messages, ...) - - # Tokenize to check length - prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) # INSIDE loop - - if len(all_tokens) + len(prompt_tokens) >= max_seq_len: - break -``` - -**User question:** Should we encode only once at the start (outside while loop) instead? - -**Status:** NEEDS RESEARCH - Check how TRL, VERL, NeMo-RL, Tinker, Verifiers handle this: -- Do they re-encode the full prompt each turn? -- Or do they track message-by-message token counts? -- Performance implications of encoding vs tracking? - ---- - -### Q2: max_tool_result_length - Global vs Tool-Specific? - -**Current recommendation (line 599):** -```yaml -blackjack_env: - max_tool_result_length: 1024 # Global for all tools -``` - -**User question:** What should the signature be for tool-calling? Per-tool limits? Global? Dynamic? - -**Status:** NEEDS RESEARCH - Check how VERL, Verifiers, NeMo-RL configure tool result truncation: -- Is `max_tool_result_length` global or per-tool? -- Do they have different limits for different tool types? -- How do they specify this in configs? -- Example: search results (2048) vs code execution (512)? - ---- - -### Q3: Mid-Tool-Call Truncation - Is It Really a Special Problem? - -**Current recommendation (lines 516-536):** -```python -if response.stop_reason == "length": - # Detect incomplete tool call - has_tool_start = "" in response.text - has_tool_end = "" in response.text - - if has_tool_start and not has_tool_end: - record_metric("episode/truncated_mid_tool_call", 1, Reduce.MEAN) - break # Terminate episode, don't add to buffer -``` - -**User skepticism:** If we're already evicting truncated episodes via `is_truncated` flag, why is mid-tool-call truncation special? - -**Counter-argument:** Mid-tool-call creates invalid JSON → unparseable → corrupt training signal even if we mark episode as truncated. - -**Status:** NEEDS RESEARCH - Check how other libraries handle generation truncation during tool calls: -- Do VERL, Verifiers, NeMo-RL detect incomplete tool calls specifically? -- Or do they just rely on general truncation handling? -- Do they immediately terminate or try to continue? -- Do they filter these episodes from training? - ---- - -### Q4: Multiple Tool Calls + Budget Overflow - What Happens? - -**Current recommendation (lines 557-573):** -```python -if response.tool_calls: - # Execute all - tool_results = [await execute_tool(tc) for tc in response.tool_calls] - # Truncate each - tool_results = [tr[:max_len] + "..." if len(tr) > max_len else tr - for tr in tool_results] - # Add all to messages - messages.extend([{"role": "tool", "content": tr} for tr in tool_results]) -``` - -**Problem scenario:** -- Model makes 3 tool calls in one turn -- Each truncated to `max_tool_result_length=1024` -- Total: 3072 tokens -- But remaining budget: 300 tokens -- What to do? - -**Proposed options:** -1. **Terminate episode** (safest, all-or-nothing) -2. **Fair allocation** (divide remaining budget by num tools) -3. **Keep first N tools that fit** (drop later ones) - -**User preference:** Allow truncated tool output, let user decide eviction policy via config. - -**Status:** NEEDS RESEARCH - Check how VERL, Verifiers, NeMo-RL handle multiple tool calls when total exceeds budget: -- Do they terminate the episode? -- Do they truncate all tool results to fit remaining budget? -- Do they keep only tools that fit? -- Is this configurable? - ---- - -### Q5: Deprecate prompt_len in Reference Model - -**Current Episode class:** -```python -@dataclass -class Episode: - pad_id: int - request_len: int # Fixed length (legacy) - response_len: int # Fixed length (legacy) -``` - -**New Episode class:** -```python -@dataclass -class Episode: - all_token_ids: torch.Tensor # Variable length - response_mask: torch.Tensor # Replaces request_len/response_len -``` - -**User decision:** Clean break, no backward compatibility. Add clear error message if old fields detected. - -**Rationale:** -1. Multi-turn is fundamental change anyway -2. Adding backward compat adds noise (`if prompt_len > 0: ... else: ...`) -3. Only small number of users (easier migration) -4. Maintains single code path - -**Status:** DECIDED - Break at once, no backward compat. - ---- - -## Research Tasks (IN ORDER) - -**Before implementing, we need to research the following libraries to answer the open questions:** - -1. **TRL** (`trl/examples/scripts/openenv/`) -2. **VERL** (`verl/experimental/agent_loop/`) -3. **NeMo-RL** (`RL/nemo_rl/experience/rollouts.py`) -4. **Tinker-Cookbook** (`tinker-cookbook/recipes/tool_use/`) -5. **Verifiers** (`verifiers/envs/`) - -**For each library, investigate:** -- **Q1:** Where do they call tokenizer.encode()? Inside or outside turn loop? -- **Q2:** How do they configure max_tool_result_length? Global or per-tool? -- **Q3:** Do they detect/handle mid-tool-call truncation specially? -- **Q4:** How do they handle multiple tool calls when total exceeds budget? - -**Research output:** Add findings to new section below titled "## Research Findings" - ---- - -## Research Findings - -### Q1 Research: When/Where to Call tokenizer.encode() - -**Finding: Libraries use TWO distinct patterns - re-encode everything vs. incremental tracking** - -#### Pattern A: Re-Encode Full Prompt Each Turn (TRL, Tinker, Verifiers) - -**TRL Catch** (`trl/examples/scripts/openenv/catch.py:177-196`): -```python -while not obs.done: # INSIDE loop - episode_msg = {"prompt": [{"role": "user", "content": f"{base_prompt}\n\n{obs.info_state}\n"}]} - episode_prompt = apply_chat_template(episode_msg, processing_class) - - # vLLM server returns prompt_ids - response = requests.post(gen_url, json=payload) - result = response.json() - - # Accumulate tokens - episode_prompt_ids.extend(result["prompt_ids"][0]) - episode_completion_ids.extend(result["completion_ids"][0]) -``` - -**TRL Wordle** (`trl/examples/scripts/openenv/wordle.py:352-383`): -```python -for _turn in range(cli_args.max_turns): # INSIDE loop - prompt_text = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=False, - ) - - vllm_result = request_vllm_completion(...) - prompt_ids.extend(vllm_result["prompt_ids"]) - completion_ids.extend(vllm_result["completion_ids"]) -``` - -**Tinker** (`tinker-cookbook/tinker_cookbook/renderers.py:189-202`): -```python -def build_generation_prompt(self, messages: list[Message]) -> tinker.ModelInput: - tokens: list[int] = [] - tokens.extend(self._bos_tokens) - for message in messages: # OUTSIDE loop - called once per generation - ob_part, action_part, action_tail = self._render_message(message) - tokens.extend(ob_part) - tokens.extend(action_part) - return tinker.ModelInput.from_ints(tokens) -``` - -**Key insight:** They call `apply_chat_template()` or build prompt from scratch each turn, but the vLLM/generator returns the token IDs, so they don't explicitly call `tokenizer.encode()` themselves. - -#### Pattern B: Incremental Token Tracking (NeMo-RL, VERL) - -**NeMo-RL** (`RL/nemo_rl/experience/rollouts.py:446-477`): -```python -for turn in range(max_rollout_turns): # INSIDE loop - # Only tokenize NEW environment observation - tokenized_obs = tokenizer( - env_obs_content, - return_tensors="pt", - add_special_tokens=False - ).input_ids[0] - - # Check if adding new tokens would overflow - if (len(tokenized_obs) + len(generated_ids[i]) + active_input_lengths[i] >= max_seq_len): - tokens_left_for_obs = max_seq_len - (len(generated_ids[i]) + active_input_lengths[i]) - tokenized_obs = tokenized_obs[:tokens_left_for_obs] # Truncate to fit - truncation_mask[i] = True -``` - -**VERL** (`verl/experimental/agent_loop/tool_agent_loop.py:200-209, 351-358`): -```python -# Initial prompt - OUTSIDE loop -agent_data.prompt_ids = await self.loop.run_in_executor( - None, - lambda: self.tokenizer.apply_chat_template( - agent_data.messages, tools=self.tool_schemas, - add_generation_prompt=True, tokenize=True - ), -) - -# Tool responses - INSIDE loop -response_ids = await self.loop.run_in_executor( - None, - lambda: self.tokenizer.apply_chat_template( - add_messages, add_generation_prompt=True, tokenize=True - ), -) - -# Check budget -if len(agent_data.response_mask) + len(response_ids) >= self.response_length: - return AgentState.TERMINATED -``` - -**Verifiers** (post-processing - `verifiers/utils/processing_utils.py:95-155`): -```python -# Initial prompt - OUTSIDE loop -prompt_ids = processing_class.apply_chat_template( - conversation=prompt, add_generation_prompt=True, tools=oai_tools -) - -# For each turn - uses prefix matching to get delta -while i < len(zipped): - token_prefix = processing_class.apply_chat_template( - conversation=messages_consumed, add_generation_prompt=False, tools=oai_tools - ) - token_prefix_with_turn = processing_class.apply_chat_template( - conversation=messages_consumed + consecutive_messages, - add_generation_prompt=True, tools=oai_tools - ) - # Extract ONLY the new tokens - assert token_prefix_with_turn[:len(token_prefix)] == token_prefix - completion_turn_ids = token_prefix_with_turn[len(token_prefix):] -``` - -#### **Recommendation for Forge:** - -Use Pattern B (incremental) like NeMo-RL/VERL: - -```python -for turn in range(max_turns): - # Build prompt from messages - prompt_text = tokenizer.apply_chat_template(messages, ...) - - # Encode ONLY to check length, not for generation - prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) - - # Check budget BEFORE generating - if len(all_tokens) + len(prompt_tokens) >= max_seq_len: - break - - # Calculate remaining budget - remaining = max_seq_len - (len(all_tokens) + len(prompt_tokens)) - turn_max_tokens = min(256, remaining) - - # Generate (vLLM returns token_ids) - responses = await policy.generate.route([prompt_text], - sampling_params={"max_tokens": turn_max_tokens}) - - # Accumulate tokens from response object - all_tokens.extend(prompt_tokens) - all_tokens.extend(response.token_ids) -``` - -**Why this is best:** -- Explicit budget control before generating -- Only encodes once per turn (not redundant) -- vLLM/Generator handles actual generation -- Clear separation: encode for budget check, generate for response - ---- - -### Q2 Research: max_tool_result_length Configuration - -**Finding: ALL libraries use GLOBAL configuration, NONE support per-tool limits** - -#### VERL: Global with Multiple Truncation Strategies - -**Config:** `verl/verl/trainer/config/rollout/rollout.yaml:165-169` -```yaml -multi_turn: - max_parallel_calls: 1 - max_tool_response_length: 256 # Global for all tools - tool_response_truncate_side: middle # left/middle/right -``` - -**Implementation:** `verl/experimental/agent_loop/tool_agent_loop.py:457-464` -```python -if tool_response_text and len(tool_response_text) > self.max_tool_response_length: - if self.tool_response_truncate_side == "left": - tool_response_text = tool_response_text[:self.max_tool_response_length] + "...(truncated)" - elif self.tool_response_truncate_side == "right": - tool_response_text = "(truncated)..." + tool_response_text[-self.max_tool_response_length:] - else: # middle - length = self.max_tool_response_length // 2 - tool_response_text = tool_response_text[:length] + "...(truncated)..." + tool_response_text[-length:] -``` - -**Key details:** -- Configurable via YAML -- Three truncation strategies -- No per-tool customization -- CHARACTER-based, not token-based - -#### NeMo-RL: Environment-Level Token Budget - -**Implementation:** `RL/nemo_rl/experience/rollouts.py:446-477` -```python -# Truncate environment observation (which includes tool results) -if len(tokenized_obs) + len(generated_ids[i]) + active_input_lengths[i] >= max_seq_len: - tokens_left_for_obs = max_seq_len - (len(generated_ids[i]) + active_input_lengths[i]) - tokenized_obs = tokenized_obs[:tokens_left_for_obs] - truncation_mask[i] = True -``` - -**Key details:** -- TOKEN-based (more accurate) -- Dynamic allocation based on remaining budget -- No explicit max_tool_result_length parameter -- No per-tool customization - -#### Tinker: Trajectory-Level Termination - -**Implementation:** `tinker-cookbook/recipes/tool_use/search/search_env.py:108-117, 186-187` -```python -class SearchEnv(ProblemEnv): - def __init__(self, ..., max_trajectory_tokens: int = 32 * 1024): - self.max_trajectory_tokens = max_trajectory_tokens - - async def step(self, action): - # After adding tool result - next_observation = self.renderer.build_generation_prompt(self.past_messages) - if next_observation.length > self.max_trajectory_tokens: - return failure_result # Terminates episode -``` - -**Key details:** -- TOKEN-based -- No tool-specific limits, only total trajectory -- Terminates rather than truncates -- No per-tool customization - -#### Verifiers: No Tool Result Truncation - -**Implementation:** `verifiers/envs/tool_env.py:54-71` -```python -async def call_tool(self, tool_name: str, tool_args: dict, ...) -> Message: - tool_func = self.tool_map[tool_name] - result = await maybe_await(tool_func, **tool_args) - return { - "role": "tool", - "content": str(result), # No truncation! - "tool_call_id": tool_call_id, - } -``` - -**Key details:** -- No tool result truncation at all -- Relies on sequence-level truncation/masking -- No per-tool customization - -#### **Summary Table** - -| Library | Scope | Unit | Default | Per-Tool? | Config Type | -|---------|-------|------|---------|-----------|-------------| -| **VERL** | Global | Characters | 256 | No | YAML config | -| **NeMo-RL** | Environment observation | Tokens | Dynamic (based on max_seq_len) | No | Function param | -| **Tinker** | Trajectory | Tokens | 32,768 | No | Constructor arg | -| **Verifiers** | None | N/A | N/A | No | N/A | - -#### **Recommendation for Forge:** - -**Phase 1: Global configuration (like VERL)** -```yaml -blackjack_env: - max_tool_result_length: 1024 # Global, token-based -``` - -**Phase 2: Per-tool if needed (NOT currently supported by any library)** -```yaml -tool_configs: - search_pages: - max_result_length: 2048 - execute_code: - max_result_length: 512 -``` - -**Implementation signature:** -```python -async def execute_tool(tool_call: dict, max_tool_len: int = 1024) -> str: - """Execute tool and truncate result to max_tool_len tokens.""" - result = await tools[tool_call["name"]](**tool_call["args"]) - - # Tokenize to check length - result_tokens = tokenizer.encode(str(result), add_special_tokens=False) - - if len(result_tokens) > max_tool_len: - # Truncate and decode back - truncated_tokens = result_tokens[:max_tool_len] - result = tokenizer.decode(truncated_tokens) + "...(truncated)" - record_metric("tool/truncated_result_rate", 1, Reduce.MEAN) - - return result -``` - -**Why token-based over character-based:** -- More accurate for budget tracking -- Consistent with max_seq_len -- What actually matters for model context - ---- - -### Q3 Research: Mid-Tool-Call Truncation Detection - -**Finding: NO library properly detects mid-tool-call truncation when stop_reason == "length"** - -#### VERL Agent Loop: Silent Failure - -**Implementation:** `verl/experimental/agent_loop/tool_agent_loop.py:212-258` -```python -async def _handle_generating_state(self, agent_data, sampling_params): - output = await self.server_manager.generate(...) - - agent_data.response_ids = output.token_ids - - # No finish_reason check here! - if len(agent_data.response_mask) >= self.response_length: - return AgentState.TERMINATED - - # Attempts to extract tool calls - fails silently on incomplete - _, agent_data.tool_calls = await self.tool_parser.extract_tool_calls(agent_data.response_ids) - - if agent_data.tool_calls: - return AgentState.PROCESSING_TOOLS -``` - -**Tool Parser** (`tool_parser.py:82-106`): -```python -async def extract_tool_calls(self, responses_ids): - text = await loop.run_in_executor(None, self.tokenizer.decode, responses_ids) - - # Missing start/end = no tool calls - if self.tool_call_start_token not in text or self.tool_call_end_token not in text: - return text, [] # Silent failure - - matches = self.tool_call_regex.findall(text) - for match in matches: - try: - function_call = json.loads(match) - except Exception as e: - logger.error(f"Failed to decode tool call: {e}") # Logged but ignored - - return content, function_calls -``` - -**Result:** Incomplete tool calls return empty list, episode continues as if no tool was called. - -#### VERL SGLang: Checks finish_reason BUT Before Parsing - -**Implementation:** `verl/workers/rollout/sglang_rollout/sglang_rollout.py:920-965` -```python -finish_reason_type = FinishReasonTypeEnum.from_str(output["meta_info"]["finish_reason"]["type"]) - -if finish_reason_type == FinishReasonTypeEnum.LENGTH: - # Terminates IMMEDIATELY, doesn't check for tool calls - _req.add_assistant_message(...) - break -else: - # Only checks for tool calls if NOT truncated - if self._function_call_parser.has_tool_call(content): - try: - normed_content, tool_calls = self._function_call_parser.parse_non_stream(content) - except JSONDecodeError: - normed_content = content - tool_calls = [] -``` - -**Result:** If `finish_reason == "length"`, episode terminates before checking for tool calls. - -#### NeMo-RL: No finish_reason Checking - -**Implementation:** `RL/nemo_rl/experience/rollouts.py:440-490` -```python -# No stop_reason/finish_reason checking anywhere -env_output = calculate_rewards(active_batch, task_to_env) - -# Only checks sequence length -if len(tokenized_obs) + len(generated_ids[i]) + active_input_lengths[i] >= max_seq_len: - truncation_mask[i] = True -``` - -**Result:** Relies on environment to handle parsing failures. - -#### Verifiers: Will CRASH on Incomplete JSON - -**Implementation:** `verifiers/envs/tool_env.py:73-89` -```python -async def env_response(self, messages, state, **kwargs): - for tool_call in messages[-1]["tool_calls"]: - tool_name = tool_call.get("function", {}).get("name", "") - tool_args = json.loads(tool_call.get("function", {}).get("arguments", "")) # Can crash here! - tool_message = await self.call_tool(tool_name, tool_args, tool_call_id) -``` - -**Result:** If OpenAI API returns truncated tool call JSON, `json.loads()` raises exception and crashes. - -#### Tinker: Best Handling via parse_success Flag - -**Implementation:** `tinker-cookbook/recipes/tool_use/search/search_env.py:161-209` -```python -async def step(self, action): - message, parse_success = self.renderer.parse_response(action) - - if "tool_calls" in message: - # ... execute tool - else: - correct_format = float(parse_success) and float(self.check_format(message["content"])) - total_reward = self.format_coef * (correct_format - 1) + correct_answer - # If parse_success = False, format penalty applied -``` - -**Parser** (`renderers.py:140-161, 412-430`): -```python -def parse_response_for_stop_token(response, tokenizer, stop_token): - emt_count = response.count(stop_token) - if emt_count == 0: - # Missing stop token = parse failure - return Message(...), False - elif emt_count == 1: - return Message(...), True - -def parse_response(self, response): - assistant_message, parse_success = parse_response_for_stop_token(...) - if not parse_success: - return assistant_message, False - - match = re.search(r"(.*?)", assistant_message["content"]) - if match: - tool_calls = self._parse_tool_call(match.group(1)) - if tool_calls is None: - return assistant_message, False # Invalid JSON = parse failure -``` - -**Result:** Detects incomplete responses via missing stop token or invalid JSON, applies format penalty. - -#### **Summary Table** - -| Library | Checks finish_reason? | Detects incomplete? | Action | Filters from training? | -|---------|----------------------|---------------------|--------|----------------------| -| **VERL (agent_loop)** | No | No | Silent failure, continues | No | -| **VERL (sglang)** | Yes | Partial | Terminates before parsing | No | -| **NeMo-RL** | No | No | Relies on env | No | -| **Verifiers** | Only for prompts | No | **Crashes** | No | -| **Tinker** | No | Yes (parse_success) | Format penalty | No | - -#### **Recommendation for Forge:** - -**User was right to be skeptical!** Libraries don't treat mid-tool-call truncation specially. But here's why we still should: - -**Problem with incomplete tool calls:** -- Incomplete JSON → unparseable → can't execute -- But `response_mask = [1, 1, 1, ...]` → we TRAIN on garbage -- Model learns to produce `{"name": "search",` without closing - -**Best practice (combining Tinker's approach with finish_reason check):** -```python -if response.stop_reason == "length": - record_metric("episode/generation_truncated", 1, Reduce.MEAN) - - # Check if it looks like a tool call was truncated - has_tool_start = "" in response.text - has_tool_end = "" in response.text - - if has_tool_start and not has_tool_end: - # Mid-tool-call truncation - record_metric("episode/truncated_mid_tool_call", 1, Reduce.MEAN) - # Mark episode as truncated, let eviction policy handle it - episode.is_truncated = True - episode.truncation_reason = "mid_tool_call" - break # Terminate episode -``` - -**Let user decide via config:** -```yaml -grpo: - eviction_policy: - evict_truncated: true # Remove truncated episodes from buffer - evict_mid_tool_call: true # More aggressive for tool call corruption -``` - ---- - -### Q4 Research: Multiple Tool Calls + Budget Overflow - -**Finding: Libraries use ALL-OR-NOTHING (terminate) or TRUNCATE-TO-FIT strategies. None use fair allocation.** - -#### VERL: Pre-Truncate Each, Then Terminate if Total Exceeds - -**Individual truncation:** `verl/experimental/agent_loop/tool_agent_loop.py:457-464` -```python -# Each tool response truncated BEFORE tokenization -if len(tool_response_text) > self.max_tool_response_length: - if self.tool_response_truncate_side == "left": - tool_response_text = tool_response_text[:self.max_tool_response_length] + "...(truncated)" - # ... other strategies -``` - -**Total budget check:** `verl/experimental/agent_loop/tool_agent_loop.py:324-361` -```python -# All tool messages added -agent_data.messages.extend(add_messages) - -# Tokenize together -response_ids = tokenizer.apply_chat_template(add_messages, add_generation_prompt=True, tokenize=True) - -# Check if total exceeds budget -if len(agent_data.response_mask) + len(response_ids) >= self.response_length: - return AgentState.TERMINATED # Episode ends -``` - -**Multiple tools:** `verl/experimental/agent_loop/tool_agent_loop.py:267-272` -```python -# Parallel execution -tasks = [] -for tool_call in agent_data.tool_calls[:self.max_parallel_calls]: - tasks.append(self._call_tool(tool_call, agent_data.tools_kwargs)) - -responses = await asyncio.gather(*tasks) # All execute in parallel -``` - -**Result:** Truncate each to `max_tool_response_length`, then if total still exceeds budget, TERMINATE. - -#### NeMo-RL: Truncate-to-Fit Remaining Budget - -**Implementation:** `RL/nemo_rl/experience/rollouts.py:446-477` -```python -# After tokenizing env observation -if len(tokenized_obs) + len(generated_ids[i]) + active_input_lengths[i] >= max_seq_len: - # Calculate remaining budget - tokens_left_for_obs = max_seq_len - (len(generated_ids[i]) + active_input_lengths[i]) - - # Truncate to fit - tokenized_obs = tokenized_obs[:tokens_left_for_obs] - truncation_mask[i] = True - sample_truncated[active_indices[i]] = True -``` - -**Result:** Dynamically truncates observation (which may contain multiple tool results) to fit remaining budget. - -#### Tinker: All-or-Nothing Termination - -**Implementation:** `tinker-cookbook/recipes/tool_use/search/search_env.py:186-189` -```python -# After adding tool result to messages -next_observation = self.renderer.build_generation_prompt(self.past_messages) - -if next_observation.length > self.max_trajectory_tokens: - return failure_result # Episode terminates -``` - -**Multiple tools:** Only processes first tool call (line 179: `message["tool_calls"][0]`) - -**Result:** If adding tool result exceeds budget, TERMINATE. - -#### Verifiers: No Budget Checking - -**Implementation:** `verifiers/envs/tool_env.py:73-89` -```python -# Processes all tool calls sequentially -for tool_call in messages[-1]["tool_calls"]: - tool_message = await self.call_tool(tool_name, tool_args, tool_call_id) - tool_messages.append(tool_message) # No length check - -return tool_messages, state -``` - -**Result:** No budget management, relies on OpenAI client. - -#### **Summary Table** - -| Library | Multiple Tools? | Pre-Truncate Each? | Total Budget Check? | Overflow Strategy | Configurable? | -|---------|----------------|-------------------|---------------------|-------------------|---------------| -| **VERL** | Yes (parallel) | Yes (max_tool_response_length) | Yes | **TERMINATE** | Yes | -| **NeMo-RL** | Single env obs | No | Yes | **TRUNCATE to fit** | Partial | -| **Tinker** | First only | No | Yes | **TERMINATE** | Yes | -| **Verifiers** | Yes (sequential) | No | No | Unknown | No | - -#### **Recommendation for Forge:** - -**Implement hybrid approach combining best practices:** - -```python -# 1. Pre-truncate each tool result (like VERL) -max_tool_len = cfg.max_tool_result_length # Global: 1024 tokens - -for tool_call in tool_calls: - result = await execute_tool(tool_call) - result_tokens = tokenizer.encode(str(result), add_special_tokens=False) - - if len(result_tokens) > max_tool_len: - result_tokens = result_tokens[:max_tool_len] - result = tokenizer.decode(result_tokens) + "...(truncated)" - record_metric("tool/individual_truncated", 1, Reduce.MEAN) - - tool_results.append(result) - -# 2. Check if total fits in remaining budget -total_tool_tokens = sum(len(tokenizer.encode(r)) for r in tool_results) -remaining_budget = max_seq_len - len(all_tokens) - -if total_tool_tokens > remaining_budget: - # Option A: Terminate (safest, like VERL/Tinker) - record_metric("episode/tool_overflow_terminated", 1, Reduce.MEAN) - episode.is_truncated = True - episode.truncation_reason = "tool_overflow" - break - - # Option B: Fair allocation (new, user's preference) - if cfg.truncation.fair_allocate_tools: - per_tool_budget = remaining_budget // len(tool_results) - tool_results = [ - tokenizer.decode(tokenizer.encode(r)[:per_tool_budget]) - for r in tool_results - ] - record_metric("episode/tool_fair_allocated", 1, Reduce.MEAN) - -# 3. Add to messages -for result in tool_results: - messages.append({"role": "tool", "content": result}) -``` - -**Config:** -```yaml -blackjack_env: - max_tool_result_length: 1024 # Per-tool pre-truncation - -truncation: - strategy: "terminate" # or "fair_allocate" - evict_truncated: true # Remove from training buffer -``` - -**Why this is best:** -- Pre-truncation prevents individual tools from being too large -- Total budget check prevents episode overflow -- Configurable strategy (terminate vs fair allocate) -- Clear metrics for debugging -- User controls eviction policy - ---- - -**End of Document** diff --git a/brainstorming_forge_tau/3_truncation_v2.md b/brainstorming_forge_tau/3_truncation_v2.md deleted file mode 100644 index 611e22f74..000000000 --- a/brainstorming_forge_tau/3_truncation_v2.md +++ /dev/null @@ -1,2458 +0,0 @@ -# Truncation Strategy Investigation - V2 (Code-Based Analysis) - -**Date:** 2025-01-16 -**Context:** Multi-turn blackjack refactor - understanding how production libraries handle truncation, variable group sizes, and reference model timing. - ---- - -## Table of Contents - -1. [Investigation Questions](#investigation-questions) -2. [Library-by-Library Analysis](#library-by-library-analysis) - - [TRL](#trl) - - [VERL](#verl) - - [NeMo-RL](#nemo-rl) - - [Tinker-Cookbook](#tinker-cookbook) - - [Verifiers](#verifiers) -3. [Cross-Library Comparison](#cross-library-comparison) -4. [Discussion & Design Decisions](#discussion--design-decisions) -5. [Blackjack Implementation](#blackjack-implementation) - ---- - -## Investigation Questions - -### Q1: Variable Group Sizes - Continue with Fewer or Resample? - -**User's concern:** "I am a bit afraid of dynamic batch sizes. AFAIK, it's always better to have a fixed batch size for things like compile. I would prefer to keep the batch size fixed." - -**Three possible behaviors when episodes are truncated/invalid:** -- **(a)** Continue with fewer episodes in the group (e.g., 15 instead of 16) -- **(b)** Sample more data until exactly GROUP_SIZE valid episodes -- **(c)** Filter at dataset level before rollout - -**What we need to know:** -- How do libraries handle vectorization/batching with variable sizes? -- Do they maintain fixed batch sizes for training? -- How does this interact with compiled models? - ---- - -### Q2: Dataset Filtering vs Rollout Checking - -**User's perspective:** "We should absolutely filter in the dataset to not include initial prompts > max_seq_len. This type of case should never get to the rollout, since it wastes resources * group_size." - -**BUT:** "A lot of times the prompt will contain extra info, such as tool calling, state of the environment, etc. These we would only know when at the start of the rollout." - -**What we need to know:** -- Do libraries filter at dataset level or rollout level? -- How do they handle prompts that grow during rollout (multi-turn)? -- Is there a best practice? - ---- - -### Q3: Train on Partial Tokens - What Does "Masked" Mean? - -**User's confusion:** "You said 'most libraries train on partial tokens by default', but also said that all of them mask complete truncation. So they ACTUALLY train on those, right?" - -**Clarification needed:** -- When they say "train on truncated", do they mean: - - Train on partial text (e.g., "STA" instead of "STAND")? - - Or keep all turns but mask the truncated one (no gradient)? -- What exactly does "masking" do - zero loss or exclude from batch? - ---- - -### Q4: Reference Model Timing - -**User's proposed flow:** "Set reward to partial or 0, then run the reference model, compute the advantages, and then decide if we put it in the buffer or not." - -**What we need to know:** -- Do libraries compute ref_logprobs for ALL episodes (including ones they'll drop)? -- Or do they filter first, then compute ref_logprobs only for kept episodes? -- What's the exact flow: rollout → ref_model → buffer decision, or rollout → buffer decision → ref_model? - ---- - -## Library-by-Library Analysis - ---- - -## TRL - -### Repository -`/home/felipemello/forge/trl/` - -### Q1: Variable Group Sizes - -**Answer: ❌ Assumes fixed size - will break with variable groups** - -**Code Evidence:** - -**File:** `trl/trainer/grpo_trainer.py` (lines 1594-1607) -```python -# Calculate rewards for each reward function -rewards_per_func = self._calculate_rewards(inputs, prompts, completions, completion_ids_list) - -# Apply weights to each reward function's output and sum -rewards = (rewards_per_func * self.reward_weights.to(device).unsqueeze(0)).nansum(dim=1) - -# Compute grouped-wise rewards -mean_grouped_rewards = rewards.view(-1, self.num_generations).mean(dim=1) -# ^^^^ ASSUMES EXACTLY num_generations per prompt - -# Normalize the rewards to compute the advantages -mean_grouped_rewards = mean_grouped_rewards.repeat_interleave(self.num_generations, dim=0) -advantages = rewards - mean_grouped_rewards -``` - -**Critical line:** `rewards.view(-1, self.num_generations)` **requires** exactly `num_generations` samples per prompt. If you have variable group sizes (e.g., 15 instead of 16), this will crash with: -``` -RuntimeError: shape '[-1, 16]' is invalid for input of size 15 -``` - -**Batching for training:** - -**File:** `trl/trainer/grpo_trainer.py` (lines 1685-1711) -```python -output = { - "prompt_ids": prompt_ids, # [batch_size, seq_len] - "prompt_mask": prompt_mask, # [batch_size, seq_len] - "completion_ids": completion_ids, # [batch_size, max_completion_length] - "completion_mask": completion_mask, # [batch_size, max_completion_length] - "advantages": advantages, # [batch_size] - "num_items_in_batch": num_items_in_batch, -} -if ref_per_token_logps is not None: - output["ref_per_token_logps"] = ref_per_token_logps -``` - -All arrays are padded to fixed dimensions (`max_completion_length`), so training batch size is fixed. - -**Conclusion:** TRL maintains fixed batch sizes for training, but **requires** fixed group sizes during rollout. Cannot handle variable groups. - ---- - -### Q2: Dataset Filtering vs Rollout Checking - -**Answer: No dataset-level filtering - checking happens during generation** - -**Code Evidence:** - -**File:** `trl/trainer/grpo_trainer.py` (lines 1396-1432) -```python -def _generate(self, prompts: list): - device = self.accelerator.device - mode = "train" if self.model.training else "eval" - - prompt_ids, completion_ids, logprobs, extra_fields = self._generate_single_turn(prompts) - - # Get completion length per sequence, used for logging - prompt_lengths = torch.tensor([len(ids) for ids in prompt_ids], device=device) - completion_lengths = torch.tensor([len(ids) for ids in completion_ids], device=device) - - # Identify sequences that terminated with EOS and log their lengths - eos_and_pad = [self.eos_token_id, self.pad_token_id] - is_truncated = torch.tensor([ids[-1] not in eos_and_pad for ids in completion_ids], device=device) - agg_is_truncated = self.accelerator.gather(is_truncated) - self._metrics[mode]["completions/clipped_ratio"].append(agg_is_truncated.float().mean().item()) -``` - -**Truncation detection:** A sequence is truncated if its **last token** is NOT `eos_token_id` or `pad_token_id`. - -**No pre-filtering:** The dataset returns raw prompts, and truncation is only detected AFTER generation. - -**Example from OpenEnv scripts:** - -**File:** `trl/examples/scripts/openenv/catch.py` (lines 162-216) -```python -def rollout_func( - prompts: list[str], args: GRPOConfig, processing_class, client: OpenSpielEnv, gen_url: str -) -> dict[str, list]: - """Generate completions via vLLM and compute environment rewards.""" - env_rewards = [] - all_prompt_ids, all_completion_ids, all_logprobs = [], [], [] - - for base_prompt in prompts: - for _ in range(args.num_generations): # Generate args.num_generations per prompt - env_result = client.reset() - obs = env_result.observation - total_reward = 0.0 - - episode_prompt_ids, episode_completion_ids, episode_logprobs = [], [], [] - - while not obs.done: - # Generate action - episode_msg = {"prompt": [{"role": "user", "content": f"{base_prompt}\n\n{obs.info_state}\n"}]} - episode_prompt = apply_chat_template(episode_msg, processing_class) - - # No prompt length check here! - result = requests.post(gen_url, json=payload).json() - - episode_prompt_ids.extend(result["prompt_ids"][0]) - episode_completion_ids.extend(result["completion_ids"][0]) - episode_logprobs.extend(result["logprobs"][0]) - - # Step environment - # ... - - env_rewards.append(total_reward) - all_prompt_ids.append(episode_prompt_ids) - all_completion_ids.append(episode_completion_ids) - all_logprobs.append(episode_logprobs) - - return { - "prompt_ids": all_prompt_ids, - "completion_ids": all_completion_ids, - "logprobs": all_logprobs, - "env_reward": env_rewards, - } -``` - -**No budget checking** during rollout - episodes can grow unbounded. - -**Conclusion:** TRL does NOT filter at dataset level. Truncation is detected post-generation, and there's no explicit budget enforcement during multi-turn rollouts. - ---- - -### Q3: Train on Partial Tokens - What Does "Masked" Mean? - -**Answer: By default, train on partial tokens. With `mask_truncated_completions=True`, zero out the ENTIRE episode's gradient.** - -**Code Evidence:** - -**File:** `trl/trainer/grpo_trainer.py` (lines 1480-1485) -```python -# If mask_truncated_completions is enabled, zero out truncated completions in completion_mask -if self.mask_truncated_completions: - eos_and_pad = [self.eos_token_id, self.pad_token_id] - is_truncated = torch.tensor([ids[-1] not in eos_and_pad for ids in completion_ids_list], device=device) - completion_mask = completion_mask * (~is_truncated).unsqueeze(1).int() - # ^^^^ Sets completion_mask = 0 for ALL tokens in truncated episodes -``` - -**What `completion_mask` does:** - -**File:** `trl/trainer/grpo_trainer.py` (lines 1739-1752) -```python -def grpo_loss( - policy_chosen_logps: torch.FloatTensor, - reference_chosen_logps: torch.FloatTensor, - advantages: torch.FloatTensor, - completion_masks: torch.FloatTensor, # <-- Used here -) -> torch.FloatTensor: - # ... - per_token_loss = -advantages.unsqueeze(1) * policy_chosen_logps - beta * kl - # Apply mask to zero out non-completion tokens and truncated sequences - masked_loss = per_token_loss * completion_masks - # ^^^^ Tokens where completion_mask=0 contribute zero loss - - # Average over non-masked tokens - loss = masked_loss.sum() / completion_masks.sum() - return loss -``` - -**Behavior:** - -| Setting | Partial tokens (e.g., "STA") in batch? | Gradient computed? | -|---------|----------------------------------------|--------------------| -| `mask_truncated_completions=False` (default) | ✅ Yes | ✅ Yes - trains on "S", "T", "A" | -| `mask_truncated_completions=True` | ✅ Yes (still in batch) | ❌ No - `completion_mask=0` for entire episode | - -**Config documentation:** - -**File:** `trl/trainer/grpo_config.py` (lines 210-213) -```python -# mask_truncated_completions (`bool`, *optional*, defaults to `False`): -# When enabled, truncated completions are excluded from the loss calculation, preventing them from being -# incorrectly penalized and introducing noise during training. According to the -# [DAPO](https://huggingface.co/papers/2503.14476) paper, this is a good practice for training stability. -``` - -**Conclusion:** By default, TRL **trains on partial tokens** like "STA". With masking enabled, it keeps the episode in the batch but zeros its gradient contribution. - ---- - -### Q4: Reference Model Timing - -**Answer: ref_model called AFTER generation, BEFORE buffer decision, for ALL episodes (including truncated ones)** - -**Code Evidence:** - -**File:** `trl/trainer/grpo_trainer.py` - Full flow (lines 1461-1711) - -```python -# Step 1: Generation -prompt_ids_list, completion_ids_list, num_items_in_batch, sampling_per_token_logps_list, extra_fields = ( - self._generate(prompts) # Line 1461-1463 -) - -# Step 2: Build completion_mask (initially all 1s for non-padding tokens) -completion_mask = torch.stack( - [torch.tensor([token_id != self.pad_token_id for token_id in ids]) for ids in completion_ids_list] -).int() # Line 1479 - -# Step 3: Apply truncation masking (BUFFER DECISION) -if self.mask_truncated_completions: - eos_and_pad = [self.eos_token_id, self.pad_token_id] - is_truncated = torch.tensor([ids[-1] not in eos_and_pad for ids in completion_ids_list], device=device) - completion_mask = completion_mask * (~is_truncated).unsqueeze(1).int() # Line 1480-1485 - -# Step 4: Compute reference model logprobs (AFTER masking decision, but FOR ALL EPISODES) -with torch.no_grad(): - if self.beta != 0.0: - if self.ref_model is not None: - ref_per_token_logps, _ = self._get_per_token_logps_and_entropies( - self.ref_model, - prompt_completion_ids, - attention_mask, - logits_to_keep, - batch_size=batch_size, - num_images=num_images, - **forward_kwargs, - ) # Lines 1545-1569 - else: - with self.accelerator.unwrap_model(self.model).disable_adapter(): - ref_per_token_logps, _ = self._get_per_token_logps_and_entropies( - self.model, - prompt_completion_ids, - attention_mask, - logits_to_keep, - batch_size=batch_size, - num_images=num_images, - **forward_kwargs, - ) - -# Step 5: Compute rewards -rewards_per_func = self._calculate_rewards(inputs, prompts, completions, completion_ids_list) # Line 1597 - -# Step 6: Return to buffer (all episodes, with masking already applied) -output = { - "prompt_ids": prompt_ids, - "prompt_mask": prompt_mask, - "completion_ids": completion_ids, - "completion_mask": completion_mask, # Truncated episodes have mask=0 - "advantages": advantages, - "num_items_in_batch": num_items_in_batch, -} -if ref_per_token_logps is not None: - output["ref_per_token_logps"] = ref_per_token_logps # Lines 1685-1711 -``` - -**Exact flow:** -``` -1. rollout → generate episodes -2. detect truncation (is_truncated = last_token not in [eos, pad]) -3. apply completion_mask (BUFFER DECISION: mask=0 for truncated if config enabled) -4. ← ref_model.forward() for ALL episodes (including masked ones) -5. compute rewards for ALL episodes -6. compute advantages -7. add to buffer (all episodes, some with mask=0) -``` - -**Key insight:** ref_model computes logprobs for **ALL** episodes, including truncated ones. The masking only affects gradient flow during loss computation, not whether ref_model runs. - -**Conclusion:** TRL follows the pattern: rollout → masking decision → **ref_model (all episodes)** → buffer → train. - ---- - -### TRL Summary - -| Question | Answer | Key Mechanism | -|----------|--------|---------------| -| **Q1: Variable groups** | ❌ Cannot handle - assumes fixed size | `.view(-1, num_generations)` requires exact count | -| **Q2: Dataset filtering** | ❌ No filtering - truncation detected post-generation | Checking happens in `_generate()` | -| **Q3: Train on partial** | ✅ Yes by default, mask=0 if config enabled | `completion_mask` controls gradient, not batch membership | -| **Q4: Ref model timing** | After masking, before buffer, **for all episodes** | Single batched call processes everything | - ---- - -## VERL - -### Repository -`/home/felipemello/forge/verl/` - -### Q1: Variable Group Sizes - -**Answer: ✅ Continue with fewer episodes - handles variable sizes via sequence balancing** - -**Code Evidence:** - -**File:** `verl/trainer/ppo/ray_trainer.py` (lines 1031-1077) -```python -# Repeat prompts by rollout.n times -gen_batch_output = gen_batch.repeat( - repeat_times=self.config.actor_rollout_ref.rollout.n, interleave=True -) - -# ... generate sequences ... - -# repeat to align with repeated responses in rollout -batch = batch.repeat(repeat_times=self.config.actor_rollout_ref.rollout.n, interleave=True) -batch = batch.union(gen_batch_output) -``` - -**No explicit GROUP_SIZE enforcement.** All generated episodes proceed to the next stage. - -**Handling variable lengths:** - -**File:** `verl/trainer/ppo/ray_trainer.py` (lines 1082-1086) -```python -if self.config.trainer.balance_batch: - self._balance_batch(batch, metrics=metrics) -``` - -**File:** `verl/trainer/ppo/ray_trainer.py` (lines 919-954) -```python -def _balance_batch(self, batch: DataProto, metrics: dict = None): - """Balance batch across DP ranks by total token count, not number of sequences""" - - # Get sequence lengths - input_ids = batch.batch["input_ids"] - seq_lens = (input_ids != self.tokenizer.pad_token_id).sum(dim=-1).cpu().numpy() - - # Partition sequences across DP ranks to balance total tokens - dp_size = self.config.trainer.n_gpus_per_node * self.config.trainer.nnodes // self.config.trainer.ppo_mini_batch_size - partitions = get_seqlen_balanced_partitions(seq_lens, dp_size) - - # Each rank gets a different number of sequences, but similar total tokens - # ... -``` - -**Key insight:** VERL uses **sequence balancing**, NOT fixed batch sizes. Each DP rank gets different numbers of sequences, balanced by total token count. - -**Truncation creates variable lengths:** - -**File:** `verl/experimental/agent_loop/tool_agent_loop.py` (lines 165-182) -```python -# Finalize output -response_ids = agent_data.prompt_ids[-len(agent_data.response_mask) :] -prompt_ids = agent_data.prompt_ids[: len(agent_data.prompt_ids) - len(agent_data.response_mask)] -output = AgentLoopOutput( - prompt_ids=prompt_ids, - response_ids=response_ids[: self.response_length], # Truncate to response_length - response_mask=agent_data.response_mask[: self.response_length], - # ... -) -``` - -Episodes are truncated at `self.response_length`, creating variable-length sequences. - -**Conclusion:** VERL explicitly handles variable group sizes and variable sequence lengths. It maintains dynamic batch sizes balanced by token count, not sequence count. - ---- - -### Q2: Dataset Filtering vs Rollout Checking - -**Answer: Rollout-level checking - budget enforced during generation** - -**Code Evidence:** - -**File:** `verl/experimental/agent_loop/tool_agent_loop.py` (lines 233-239) -```python -async def _handle_generating_state(self, agent_data, sampling_params, ignore_termination=False): - # ... generation ... - - # Check termination conditions - if not ignore_termination and len(agent_data.response_mask) >= self.response_length: - return AgentState.TERMINATED - if self.max_assistant_turns and agent_data.assistant_turns >= self.max_assistant_turns: - return AgentState.TERMINATED - if self.max_user_turns and agent_data.user_turns >= self.max_user_turns: - return AgentState.TERMINATED -``` - -**No dataset-level filtering.** Budget is checked **during rollout** after each turn: -- `len(agent_data.response_mask) >= self.response_length` → episode terminates -- Episodes can grow turn-by-turn until hitting budget - -**Multi-turn prompt growth:** - -**File:** `verl/experimental/agent_loop/tool_agent_loop.py` (lines 324-361) -```python -async def _handle_processing_tools_state(self, agent_data): - # Execute tools - add_messages = [] - for tool_call in agent_data.tool_calls[:self.max_parallel_calls]: - tool_response = await self._call_tool(tool_call, agent_data.tools_kwargs) - add_messages.append({ - "role": "tool", - "tool_call_id": tool_call.get("id"), - "content": tool_response_text, - }) - - # Add all tool messages - agent_data.messages.extend(add_messages) - - # Tokenize the new messages - response_ids = await self.loop.run_in_executor( - None, - lambda: self.tokenizer.apply_chat_template( - add_messages, add_generation_prompt=True, tokenize=True - ), - ) - - # Check if total exceeds budget (ROLLOUT-LEVEL CHECK) - if len(agent_data.response_mask) + len(response_ids) >= self.response_length: - return AgentState.TERMINATED # Episode ends -``` - -**Conclusion:** VERL does NOT filter at dataset level. It checks budget during rollout, allowing prompts to grow multi-turn until hitting `response_length`. - ---- - -### Q3: Train on Partial Tokens - What Does "Masked" Mean? - -**Answer: ✅ VERL terminates cleanly at turn boundaries - NO partial tokens generated** - -**Code Evidence:** - -**File:** `verl/experimental/agent_loop/tool_agent_loop.py` (lines 233-239) -```python -# Check termination BEFORE generating next turn -if not ignore_termination and len(agent_data.response_mask) >= self.response_length: - return AgentState.TERMINATED # Episode ends BEFORE generating partial tokens -``` - -**VERL is unique:** It checks budget **before** each generation, so it never generates partial tokens like "STA". The conversation ends cleanly with complete turns only. - -**Example flow:** -``` -Turn 1: prompt=100 tokens, response=50 tokens, total=150 -Turn 2: prompt=150 tokens (includes turn 1), response=80 tokens, total=230 -Turn 3: Check: prompt=230 tokens, would generate more - → len(response_mask) >= response_length (250) - → TERMINATE before generating -``` - -**Output truncation:** - -**File:** `verl/workers/rollout/schemas.py` (lines 658-673) -```python -def truncate_output_ids( - self, processing_class: PreTrainedTokenizer | PreTrainedTokenizerFast | ProcessorMixin -) -> None: - """Truncate sequences to max_model_len""" - self.input_ids = self.input_ids[..., : self.max_model_len] - self.attention_mask = self.attention_mask[..., : self.max_model_len] - self.position_ids = self.position_ids[..., : self.max_model_len] - self.loss_mask = self.loss_mask[..., : self.max_model_len] - self.response_ids = self.input_ids[..., self.prompt_ids.shape[-1] :][..., : self.max_response_len] - self.response_attention_mask = self.attention_mask[..., self.prompt_attention_mask.shape[-1] :][ - ..., : self.max_response_len - ] -``` - -This is a **safety truncation** at the sequence level (if somehow it exceeds), not turn-level truncation. - -**Conclusion:** VERL does NOT train on partial tokens. It terminates episodes cleanly at turn boundaries before generating partial text. - ---- - -### Q4: Reference Model Timing - -**Answer: ref_model called AFTER generation, for ALL episodes** - -**Code Evidence:** - -**File:** `verl/trainer/ppo/ray_trainer.py` (lines 1037-1144) - Full flow - -```python -# Step 1: Generate sequences -with marked_timer("gen", timing_raw, color="red"): - if not self.async_rollout_mode: - gen_batch_output = self.actor_rollout_wg.generate_sequences(gen_batch_output) - else: - gen_batch_output = self.async_rollout_manager.generate_sequences(gen_batch_output) - -# Step 2: Combine with original batch -batch = batch.repeat(repeat_times=self.config.actor_rollout_ref.rollout.n, interleave=True) -batch = batch.union(gen_batch_output) - -# Step 3: Compute reward -with marked_timer("reward", timing_raw, color="yellow"): - if self.use_rm and "rm_scores" not in batch.batch.keys(): - reward_tensor = self.rm_wg.compute_rm_score(batch) - batch = batch.union(reward_tensor) - -# Step 4: Compute old_log_probs (if needed) -if need_recomputation: - with marked_timer("old_log_prob", timing_raw, color="blue"): - old_log_prob = self.actor_rollout_wg.compute_log_prob(batch) - batch = batch.union(old_log_prob) - -# Step 5: Compute ref_log_prob (THIS IS THE KEY!) -if self.use_reference_policy: - with marked_timer(str(Role.RefPolicy), timing_raw, color="olive"): - if not self.ref_in_actor: - ref_log_prob = self.ref_policy_wg.compute_ref_log_prob(batch) - else: - ref_log_prob = self.actor_rollout_wg.compute_ref_log_prob(batch) - batch = batch.union(ref_log_prob) # Lines 1082-1099 - -# Step 6: Compute values (critic) -if self.use_critic: - with marked_timer("values", timing_raw, color="cyan"): - values = self.critic_wg.compute_values(batch) - batch = batch.union(values) -``` - -**Exact flow:** -``` -1. rollout → generate_sequences -2. union → combine with prompts -3. reward → compute rewards on ALL episodes -4. old_log_prob → compute current policy logprobs (for rollout correction) -5. ← ref_log_prob → compute reference policy logprobs on ALL episodes -6. values → compute critic values -7. train -``` - -**No selective ref_model computation.** Every episode that enters the batch goes through ref_model. - -**Why this matters:** In VERL, there's no explicit "buffer decision" with accept/reject logic. ALL generated episodes are processed through the full pipeline unconditionally. - -**Conclusion:** VERL follows: rollout → **ref_model (all episodes)** → train. No filtering before ref_model. - ---- - -### VERL Summary - -| Question | Answer | Key Mechanism | -|----------|--------|---------------| -| **Q1: Variable groups** | ✅ Continue with fewer - handles variable sizes | Sequence balancing by token count, not sequence count | -| **Q2: Dataset filtering** | ❌ Rollout-level checking | Budget checked during generation via `response_length` | -| **Q3: Train on partial** | ❌ No - clean turn termination | Checks budget BEFORE generating, never creates partial tokens | -| **Q4: Ref model timing** | After rollout, before training, **for all episodes** | Sequential pipeline processes everything | - ---- - -## NeMo-RL - -### Repository -`/home/felipemello/forge/RL/` - -### Q1: Variable Group Sizes - -**Answer: ✅ Sample more until exact size (in dynamic sampling mode), OR continue with fewer (standard mode)** - -**Code Evidence:** - -**Dynamic Sampling Mode:** - -**File:** `RL/nemo_rl/algorithms/grpo.py` (lines 541-667) -```python -def dynamic_sampling( - repeated_batch, - std, - baseline, - master_config, - batch_cache=None, - dynamic_sampling_num_gen_batches=1, -): - """ - Dynamic sampling: filter prompts with zero std, sample more batches until we have enough. - """ - # Required batch size for training - train_prompts_size = ( - master_config["grpo"]["num_prompts_per_step"] - * master_config["grpo"]["num_generations_per_prompt"] - ) - - if master_config["grpo"]["use_dynamic_sampling"]: - # Get the prompt indices with non-zero std - non_zero_std_mask = std != 0.0 - keep_prompt_indices = torch.arange(len(non_zero_std_mask))[non_zero_std_mask].tolist() - - # Only select the inputs that have non-zero std - filtered_repeated_batch = repeated_batch.select_indices(keep_prompt_indices) - - # If none of the prompts have non-zero std, skip this batch - if filtered_repeated_batch.size > 0: - # Concatenate with previous batch cache - batch_cache = ( - filtered_repeated_batch if batch_cache is None - else BatchedDataDict.from_batches([batch_cache, filtered_repeated_batch]) - ) - - filtered_prompts_size = batch_cache.size if batch_cache is not None else 0 - - # If insufficient, keep sampling more batches - if filtered_prompts_size < train_prompts_size: - if dynamic_sampling_num_gen_batches <= master_config["grpo"].get("dynamic_sampling_max_gen_batches", 10): - is_batch_complete = False # Signal to continue sampling - else: - raise ValueError(f"Reached max generation batches ({dynamic_sampling_max_gen_batches})") - else: - # We have enough! Slice to exact size - batch_cache = batch_cache.select_indices(list(range(train_prompts_size))) - is_batch_complete = True - - return batch_cache, is_batch_complete, batch_cache, metrics - else: - # Standard mode: no filtering - return repeated_batch, True, None, {} -``` - -**Behavior:** -- **Dynamic mode:** Caches partial batches, samples more until exactly `num_prompts_per_step * num_generations_per_prompt` valid episodes -- **Standard mode:** No filtering, all episodes proceed - -**Standard Mode (no dynamic sampling):** - -**File:** `RL/nemo_rl/algorithms/grpo.py` (lines 924-927) -```python -# Always maintain exact group size by repeating prompts -repeated_batch: BatchedDataDict[DatumSpec] = batch.repeat_interleave( - master_config["grpo"]["num_generations_per_prompt"] -) -``` - -**Batching for training:** - -**File:** `RL/nemo_rl/algorithms/grpo.py` (lines 1086-1123) -```python -# Convert to flat messages for training -flat_messages, input_lengths = batched_message_log_to_flat_message( - repeated_batch["message_log"], - truncate_to_max_len=master_config["grpo"]["truncate_to_max_len"], -) - -train_data = BatchedDataDict[ClippedPGLossDataDict]({ - "input_ids": flat_messages["token_ids"], # Variable length sequences - "advantages": flat_messages["advantages"], - "response_mask": flat_messages["response_mask"], # Marks assistant tokens - "loss_multiplier": repeated_batch["loss_multiplier"], # Can be 0 for truncated - # ... -}) -``` - -**Fixed vs variable batch sizes:** -- Dynamic mode: **Fixed batch size** (resamples to exact count) -- Standard mode: **Fixed batch size** (repeats prompts exactly `num_generations_per_prompt` times) -- Within batch: **Variable sequence lengths** (handled by padding/masking) - -**Conclusion:** NeMo-RL maintains fixed batch sizes by either resampling (dynamic mode) or fixed repetition (standard mode). Variable-length sequences within batches are handled via masking. - ---- - -### Q2: Dataset Filtering vs Rollout Checking - -**Answer: Rollout-level checking - budget enforced per-turn during multi-turn rollouts** - -**Code Evidence:** - -**File:** `RL/nemo_rl/experience/rollouts.py` (lines 444-470) -```python -# Multi-turn rollout loop -for turn_idx in range(max_rollout_turns): - # ... generate response ... - - # Calculate reward and get environment observation - env_output = calculate_rewards(active_batch, task_to_env) - - truncation_mask = torch.zeros_like(env_output.terminateds, dtype=torch.bool) - - for i, global_idx in enumerate(active_indices.tolist()): - env_obs_content = env_output.observations[i]["content"] - - # Tokenize environment observation (tool result / game state) - tokenized_obs = tokenizer( - env_obs_content, - return_tensors="pt", - add_special_tokens=False - ).input_ids[0] - - # CHECK IF NEW MESSAGE OVERFLOWS max_seq_len - if (len(tokenized_obs) + len(generated_ids[i]) + active_input_lengths[i] >= max_seq_len): - # Calculate remaining budget - tokens_left_for_obs = max_seq_len - (len(generated_ids[i]) + active_input_lengths[i]) - - # Truncate the environment observation (not the generation!) - tokenized_obs = tokenized_obs[:tokens_left_for_obs] - truncation_mask[i] = True - - # Record truncation - sample_truncated[active_indices[i]] = True -``` - -**No dataset-level filtering.** Episodes start from dataset prompts and grow turn-by-turn. Budget is checked **after each generation** to decide whether to truncate the environment observation. - -**Truncation strategy:** Truncate **environment response** (tool results / game state), NOT the model generation. The model's text is kept intact. - -**Conclusion:** NeMo-RL does NOT filter at dataset level. It checks budget during rollout and dynamically truncates environment observations to fit remaining budget. - ---- - -### Q3: Train on Partial Tokens - What Does "Masked" Mean? - -**Answer: Train on full generated text (e.g., "STAND"), but truncate environment response. Can zero loss via `loss_multiplier`.** - -**Code Evidence:** - -**Truncation detection (from Q2 above):** -- Sets `sample_truncated[i] = True` for episodes that hit `max_seq_len` -- Truncates **environment observation** to fit remaining budget -- Model's generated text is NOT truncated - -**Overlong filtering:** - -**File:** `RL/nemo_rl/algorithms/grpo.py` (lines 1066-1075) -```python -use_overlong_filtering = master_config["grpo"]["overlong_filtering"] -if use_overlong_filtering: - loss_multiplier = repeated_batch["loss_multiplier"].clone() - truncated = repeated_batch["truncated"] - - if isinstance(truncated, list): - truncated = torch.tensor(truncated, dtype=torch.bool) - - # Zero out loss for truncated samples - loss_multiplier[truncated] = 0 - repeated_batch["loss_multiplier"] = loss_multiplier -``` - -**What `loss_multiplier` does:** - -**File:** `RL/nemo_rl/algorithms/clipped_pg_loss.py` (lines 45-87) -```python -def clipped_policy_gradient_loss( - logprobs, - prev_logprobs, - advantages, - response_mask, - loss_multiplier, # <-- Used here - eps=0.2, -): - # Calculate importance ratio - ratio = torch.exp(logprobs - prev_logprobs) - clipped_ratio = torch.clamp(ratio, 1 - eps, 1 + eps) - - # Policy gradient loss - pg_loss_unclipped = -advantages * ratio - pg_loss_clipped = -advantages * clipped_ratio - pg_loss = torch.max(pg_loss_unclipped, pg_loss_clipped) - - # Apply response_mask (only train on assistant tokens) and loss_multiplier (zero for truncated) - masked_pg_loss = pg_loss * response_mask * loss_multiplier.unsqueeze(-1) - # ^^^^ Tokens where loss_multiplier=0 contribute zero gradient - - # Average over non-masked tokens - loss = masked_pg_loss.sum() / (response_mask * loss_multiplier.unsqueeze(-1)).sum().clamp(min=1.0) - return loss -``` - -**Behavior:** - -| Setting | Generated text in batch? | Env response truncated? | Gradient computed? | -|---------|-------------------------|-------------------------|-------------------| -| `overlong_filtering=False` (default) | ✅ Full (e.g., "STAND") | ✅ Yes (to fit budget) | ✅ Yes | -| `overlong_filtering=True` | ✅ Full (e.g., "STAND") | ✅ Yes (to fit budget) | ❌ No - `loss_multiplier=0` | - -**Conclusion:** NeMo-RL does NOT train on partial tokens. It keeps full model generations but truncates environment observations. With `overlong_filtering=True`, it zeros `loss_multiplier` for truncated episodes (no gradient). - ---- - -### Q4: Reference Model Timing - -**Answer: Rollout → filter (optional) → ref_model (only for kept episodes)** - -**Code Evidence:** - -**File:** `RL/nemo_rl/algorithms/grpo.py` (lines 936-1132) - Full flow - -```python -# Step 1: Generation (rollout) -with timer.time("generation"): - repeated_batch, rollout_metrics = run_multi_turn_rollout( - policy_generation=policy_generation, - input_batch=repeated_batch, - tokenizer=tokenizer, - max_seq_len=master_config["grpo"]["max_seq_len"], - max_rollout_turns=master_config["grpo"]["max_rollout_turns"], - # ... - ) - policy_generation.finish_generation() - -# Step 2: Reward processing & filtering decision -with timer.time("reward_calculation"): - rewards = repeated_batch["total_reward"] - baseline, std = calculate_baseline_and_std_per_prompt( - rewards, - master_config["grpo"]["num_generations_per_prompt"], - ) - - # Dynamic sampling filtering happens HERE - repeated_batch, is_batch_complete, batch_cache, ds_metrics = dynamic_sampling( - repeated_batch, std, baseline, master_config, batch_cache, dynamic_sampling_num_gen_batches - ) - - # If not enough samples, skip to next batch WITHOUT calling ref_model - if not is_batch_complete: - continue # <-- Skips ref_model! - -# Step 3: Data preparation (still before ref_model) -with timer.time("data_processing"): - # Add loss masks, advantages, etc. - for i, message_log in enumerate(repeated_batch["message_log"]): - for j, message in enumerate(message_log): - if message["role"] == "assistant": - message["token_loss_mask"] = torch.ones_like(message["token_ids"]) - message["advantages"] = advantages[i].expand(message["token_ids"].shape) - - # Convert to training format - flat_messages, input_lengths = batched_message_log_to_flat_message( - repeated_batch["message_log"], - truncate_to_max_len=master_config["grpo"]["truncate_to_max_len"], - ) - train_data = BatchedDataDict[ClippedPGLossDataDict]({ - "input_ids": flat_messages["token_ids"], - "advantages": flat_messages["advantages"], - "response_mask": flat_messages["response_mask"], - "loss_multiplier": repeated_batch["loss_multiplier"], - # ... - }) - -# Step 4: Reference model logprobs (AFTER buffer decision, ONLY for kept episodes) -print("▶ Preparing for logprob inference...", flush=True) -with timer.time("logprob_inference_prep"): - policy.prepare_for_lp_inference() - -print("▶ Computing logprobs...", flush=True) -with timer.time("policy_and_reference_logprobs"): - fprop_logprobs = policy.get_logprobs(train_data)["logprobs"] - reference_logprobs = policy.get_reference_policy_logprobs(train_data)["reference_logprobs"] - # ^^^^ ref_model called here, AFTER filtering, ONLY for is_batch_complete=True - - train_data["prev_logprobs"] = fprop_logprobs - train_data["reference_policy_logprobs"] = reference_logprobs -``` - -**Exact flow:** -``` -1. rollout → generate episodes -2. reward → compute rewards -3. filter (dynamic sampling) → keep only non-zero std prompts -4. if not enough samples: continue (skip ref_model) -5. if enough samples: data preparation -6. ← ref_model.get_reference_policy_logprobs() ONLY for kept episodes -7. train -``` - -**Key insight:** NeMo-RL skips ref_model for incomplete batches. Only batches with enough valid samples get ref_logprobs computed. - -**Conclusion:** NeMo-RL follows: rollout → filter → **ref_model (only kept episodes)** → train. - ---- - -### NeMo-RL Summary - -| Question | Answer | Key Mechanism | -|----------|--------|---------------| -| **Q1: Variable groups** | ✅ Sample more (dynamic mode) OR fixed size (standard mode) | Dynamic sampling caches batches, resamples to exact size | -| **Q2: Dataset filtering** | ❌ Rollout-level checking | Budget checked per-turn, truncates env observations | -| **Q3: Train on partial** | ❌ No - keeps full model generation, truncates env | `loss_multiplier=0` for truncated if `overlong_filtering=True` | -| **Q4: Ref model timing** | After filter, before training, **only for kept episodes** | `continue` skips ref_model if batch incomplete | - ---- - -## Tinker-Cookbook - -### Repository -`/home/felipemello/forge/tinker-cookbook/` - -### Q1: Variable Group Sizes - -**Answer: ✅ Continue with fewer episodes - explicitly trains on smaller batches** - -**Code Evidence:** - -**File:** `tinker_cookbook/rl/train.py` (lines 987-1006) -```python -# Generate trajectory groups in parallel -trajectory_groups_P = await asyncio.gather( - *[ - asyncio.create_task( - do_group_rollout_and_filter_constant_reward( - sampling_client, - builder, - max_tokens=cfg.max_tokens, - do_remove_constant_reward_groups=cfg.remove_constant_reward_groups, - enable_logging=i < cfg.num_groups_to_log, - ), - name=f"sample_task_{i}", - ) - for i, builder in enumerate(env_group_builders_P) - ], -) - -# Filter out None groups (filtered due to constant rewards) -trajectory_groups_P = [ - trajectory_group - for trajectory_group in trajectory_groups_P - if trajectory_group is not None # <-- Filter out dropped groups -] -``` - -**Filtering logic:** - -**File:** `tinker_cookbook/rl/train.py` (lines 657-676) -```python -async def do_group_rollout_and_filter_constant_reward( - sampling_client: tinker.SamplingClient, - env_group_builder: EnvGroupBuilder, - max_tokens: int, - do_remove_constant_reward_groups: bool, - enable_logging: bool = True, -) -> TrajectoryGroup | None: - """Rollout a group and optionally filter if all rewards are the same""" - policy = TinkerTokenCompleter(sampling_client, max_tokens=max_tokens) - - with logtree.optional_enable_logging(enable_logging): - trajectory_group = await do_group_rollout(env_group_builder, policy) - - # Remove if all trajectories have the same reward (no gradient signal) - trajectory_groups = [trajectory_group] - if do_remove_constant_reward_groups: - trajectory_groups = remove_constant_reward_groups(trajectory_groups) - if len(trajectory_groups) == 0: - return None # <-- Returns None if filtered out - return trajectory_groups[0] -``` - -**File:** `tinker_cookbook/rl/data_processing.py` (lines 198-209) -```python -def remove_constant_reward_groups( - trajectory_groups_P: List[TrajectoryGroup], -) -> List[TrajectoryGroup]: - """Filter out groups where all rewards are identical (no learning signal)""" - new_groups: list[TrajectoryGroup] = [] - for group in trajectory_groups_P: - if not all_same(group.get_total_rewards()): - new_groups.append(group) - if not new_groups: - logger.warning("All rewards are uniform. There will be no gradient") - return trajectory_groups_P[0:1] # return singleton list in case empty - return new_groups -``` - -**Batching with variable sizes:** - -**File:** `tinker_cookbook/rl/train.py` (lines 837-846) -```python -# Note: we may have removed trajectory groups that have the same reward. -# To have the same results as the sync implementation, we will -# remove these and train on a smaller batch. -wrapped_trajectory_groups = [g for g in wrapped_trajectory_groups if g is not None] - -data_D, prepare_minibatch_metrics = await prepare_minibatch( - [g.env_group_builder for g in wrapped_trajectory_groups], - [g.trajectory_group for g in wrapped_trajectory_groups], - tokenizer, - service_client, - model_name=cfg.model_name, - kl_penalty_coef=cfg.kl_penalty_coef, - kl_discount_factor=cfg.kl_discount_factor, -) -``` - -**Explicit comment:** "we will remove these and train on a smaller batch." - -**Conclusion:** Tinker explicitly handles variable group sizes by training on smaller batches when groups are filtered. No resampling, no fixed size requirement. - ---- - -### Q2: Dataset Filtering vs Rollout Checking - -**Answer: Rollout-level checking - budget enforced during multi-turn episodes** - -**Code Evidence:** - -**File:** `tinker_cookbook/recipes/tool_use/search/search_env.py` (lines 161-195) -```python -async def step(self, action: Action) -> StepResult: - """Execute one step of the environment""" - message, parse_success = self.renderer.parse_response(action) - - self.past_messages.append(message) - - if "tool_calls" in message: - failure_result = StepResult( - reward=0.0, - episode_done=True, # <-- Episode terminates - next_observation=tinker.ModelInput.empty(), - next_stop_condition=self.stop_condition, - ) - - if message["tool_calls"][0]["name"] == "search": - self.current_num_calls += 1 - if self.current_num_calls > self.max_num_calls: - return failure_result # Too many calls - - try: - tool_return_message = await self.call_search_tool(message["tool_calls"][0]) - self.past_messages.extend(tool_return_message) - except Exception as e: - logger.error(f"Error calling search tool: {repr(e)}") - return failure_result # Tool error - - # Rebuild prompt from FULL history - next_observation = self.renderer.build_generation_prompt(self.past_messages) - - # CHECK BUDGET (ROLLOUT-LEVEL) - if next_observation.length > self.max_trajectory_tokens: - return failure_result # <-- TRUNCATION: Episode ends with reward=0 - - return StepResult( - reward=0.0, - episode_done=False, # Continue if within budget - next_observation=next_observation, - next_stop_condition=self.stop_condition, - ) -``` - -**No dataset-level filtering.** Budget is checked **after adding tool results** to the conversation. - -**Constructor:** - -**File:** `tinker_cookbook/recipes/tool_use/search/search_env.py` (lines 108-117) -```python -class SearchEnv(ProblemEnv): - def __init__( - self, - ..., - max_trajectory_tokens: int = 32 * 1024, - max_num_calls: int = 10, - ): - self.past_messages: list[renderers.Message] = [] - self.max_trajectory_tokens = max_trajectory_tokens - self.current_num_calls = 0 -``` - -**Conclusion:** Tinker does NOT filter at dataset level. It checks budget during rollout and terminates episodes when `next_observation.length > max_trajectory_tokens`. - ---- - -### Q3: Train on Partial Tokens - What Does "Masked" Mean? - -**Answer: Episode ends with failure reward when budget exceeded - full trajectory kept, but penalized** - -**Code Evidence:** - -**Truncation behavior (from Q2 above):** -- When budget exceeded: `return failure_result` with `reward=0.0` and `episode_done=True` -- The **entire trajectory** (all previous turns) is kept -- No partial tokens are generated (episode ends before next generation) - -**Rollout structure:** - -**File:** `tinker_cookbook/rl/rollouts.py` (lines 16-34) -```python -async def do_single_rollout(policy: TokenCompleter, env: Env) -> Trajectory: - """Run a single episode until completion""" - transitions = [] - ob, stop_condition = await env.initial_observation() - - while True: - ac_with_logprobs = await policy(ob, stop_condition) - step_result = await env.step(ac_with_logprobs.tokens) - - transition = Transition( - ob=ob, - ac=ac_with_logprobs, - reward=step_result.reward, - episode_done=step_result.episode_done, - metrics=step_result.metrics, - ) - transitions.append(transition) - - ob = step_result.next_observation - stop_condition = step_result.next_stop_condition - - if step_result.episode_done: # <-- Breaks when truncated - break - - return Trajectory(transitions=transitions, final_ob=ob) -``` - -All transitions (including the one that triggered truncation) are saved in the trajectory. - -**No masking mechanism.** Episodes are penalized via `reward=0.0`, but all tokens contribute to loss. - -**Conclusion:** Tinker does NOT train on partial tokens (episode ends before generating them) and does NOT mask truncated episodes. It penalizes them with `reward=0.0`. - ---- - -### Q4: Reference Model Timing - -**Answer: Rollout → filter → ref_model (only for kept episodes)** - -**Code Evidence:** - -**File:** `tinker_cookbook/rl/train.py` (lines 657-676) - Rollout and filtering - -```python -async def do_group_rollout_and_filter_constant_reward( - sampling_client: tinker.SamplingClient, - env_group_builder: EnvGroupBuilder, - max_tokens: int, - do_remove_constant_reward_groups: bool, - enable_logging: bool = True, -) -> TrajectoryGroup | None: - policy = TinkerTokenCompleter(sampling_client, max_tokens=max_tokens) - - with logtree.optional_enable_logging(enable_logging): - trajectory_group = await do_group_rollout(env_group_builder, policy) - # ^^^^ No ref_model called here - only current policy - - # Filter based on rewards - trajectory_groups = [trajectory_group] - if do_remove_constant_reward_groups: - trajectory_groups = remove_constant_reward_groups(trajectory_groups) - if len(trajectory_groups) == 0: - return None # Filtered out - return trajectory_groups[0] -``` - -**File:** `tinker_cookbook/rl/train.py` (lines 702-740) - Reference model during training preparation - -```python -async def prepare_minibatch( - env_group_builders_P: Sequence[EnvGroupBuilder], - trajectory_groups_P: list[TrajectoryGroup], - tokenizer: Tokenizer, - service_client: tinker.ServiceClient, - model_name: str, - kl_penalty_coef: float, - kl_discount_factor: float, -) -> tuple[list[tinker.Datum], dict[str, Any]]: - """Converts the trajectories into a minibatch, and provides metrics about the minibatch""" - - # ... assemble training data from trajectory_groups_P (ONLY kept episodes) ... - - # Incorporate KL penalty if configured - if kl_penalty_coef > 0: - with timed("kl_vs_base", metrics): - kl_penalty_metrics = await incorporate_kl_penalty( - data_D, - service_client.create_sampling_client(base_model=model_name), - # ^^^^ THIS is where ref_model is called - kl_penalty_coef, - kl_discount_factor, - ) - metrics.update(kl_penalty_metrics) - - return data_D, metrics -``` - -**File:** `tinker_cookbook/rl/metrics.py` (lines 86-131) - KL penalty computation - -```python -async def incorporate_kl_penalty( - data_D: List[tinker.Datum], - base_sampling_client: tinker.SamplingClient, - kl_penalty_coef: float, - kl_discount_factor: float, -) -> Dict[str, float]: - """ - Compute KL against base model. Adjust advantages in-place. - """ - # Compute logprobs at all data items (ONLY for episodes in data_D) - full_sequence_inputs_D = [ - datum.model_input.append_int(cast(int, datum.loss_fn_inputs["target_tokens"].data[-1])) - for datum in data_D - ] - - # ← ref_model called here - base_logprobs_D = await asyncio.gather( - *[ - base_sampling_client.compute_logprobs_async(sequence_input) - for sequence_input in full_sequence_inputs_D - ] - ) - - # ... compute KL penalty and adjust advantages ... -``` - -**Exact flow:** -``` -1. rollout → do_group_rollout (current policy only) -2. filter → remove_constant_reward_groups (returns None for dropped) -3. if filtered: return None (no ref_model call) -4. if kept: prepare_minibatch -5. ← ref_model.compute_logprobs_async() for ONLY kept episodes -6. train -``` - -**Key insight:** ref_model is called **only for episodes that will be trained on**, after the buffer decision. - -**Conclusion:** Tinker follows: rollout → filter → **ref_model (only kept episodes)** → train. - ---- - -### Tinker-Cookbook Summary - -| Question | Answer | Key Mechanism | -|----------|--------|---------------| -| **Q1: Variable groups** | ✅ Continue with fewer - explicit support | Trains on smaller batches when groups filtered | -| **Q2: Dataset filtering** | ❌ Rollout-level checking | Budget checked after adding tool results | -| **Q3: Train on partial** | ❌ No partial tokens - episode ends with `reward=0.0` | Clean termination before next generation | -| **Q4: Ref model timing** | After filter, before training, **only for kept episodes** | KL penalty computed in `prepare_minibatch()` | - ---- - -## Verifiers - -### Repository -`/home/felipemello/forge/verifiers/` - -### Q1: Variable Group Sizes - -**Answer: ✅ Continue with fewer episodes - dynamic advantage computation** - -**Code Evidence:** - -**File:** `verifiers/rl/trainer/orchestrator.py` (lines 251-262) -```python -# Compute advantages per prompt group -for prompt_idx in range(prompts_in_batch): - group_indices = [ - prompt_idx + k * prompts_in_batch - for k in range(self.rollouts_per_example) - if (prompt_idx + k * prompts_in_batch) < len(rewards) # ← Allows partial groups - ] - if not group_indices: - continue - - group = [rewards[i] for i in group_indices] - gmean = sum(group) / float(len(group)) # ← Divides by actual group size - - for idx, r in zip(group_indices, group): - advantages[idx] = r - gmean -``` - -**Key insight:** The condition `if (prompt_idx + k * prompts_in_batch) < len(rewards)` allows groups to have **fewer than `rollouts_per_example` episodes**. Advantages are computed as `r - gmean` where `gmean = sum(group) / float(len(group))`, dynamically adjusting to actual group size. - -**Batching:** - -**File:** `verifiers/rl/trainer/orchestrator.py` (lines 316-359) -```python -# Convert to microbatches -for mb_idx in range(num_microbatches): - start_idx = mb_idx * microbatch_size - end_idx = min((mb_idx + 1) * microbatch_size, len(all_prompt_ids)) - - microbatch = { - "prompt_ids": all_prompt_ids[start_idx:end_idx], - "completion_ids": all_completion_ids[start_idx:end_idx], - "advantages": torch.tensor(advantages[start_idx:end_idx]), - # ... - } - microbatches.append(microbatch) -``` - -**Variable sizes handled by slicing** - each microbatch can have different sizes if total episodes don't divide evenly. - -**Padding in trainer:** - -**File:** `verifiers/rl/trainer/trainer.py` (lines 171-189) -```python -def pad(self, batch: dict) -> dict: - """Pad sequences to max length in batch""" - prompt_ids = batch["prompt_ids"] - completion_ids = batch["completion_ids"] - - # Find max lengths - max_prompt_len = max(len(p) for p in prompt_ids) - max_completion_len = max(len(c) for c in completion_ids) - - # Right-pad with pad_token_id - padded_prompts = [p + [self.pad_token_id] * (max_prompt_len - len(p)) for p in prompt_ids] - padded_completions = [c + [self.pad_token_id] * (max_completion_len - len(c)) for c in completion_ids] - - # ... -``` - -**Conclusion:** Verifiers explicitly handles variable group sizes and uses dynamic padding for variable-length sequences. - ---- - -### Q2: Dataset Filtering vs Rollout Checking - -**Answer: Rollout-level checking - budget enforced during generation** - -**Code Evidence:** - -**File:** `verifiers/envs/environment.py` (lines 964-998) - Truncation during rollout - -```python -# Process each response -for idx, response in enumerate(state["responses"]): - # ... extract prompt_ids, completion_ids ... - - # CHECK BUDGET (ROLLOUT-LEVEL) - is_truncated = False - if max_seq_len > 0 and len(prompt_ids) + len(completion_ids) > max_seq_len: - # Truncate prompt if it alone exceeds budget - if len(prompt_ids) > max_seq_len: - prompt_ids = prompt_ids[:max_seq_len] - prompt_mask = prompt_mask[:max_seq_len] - - # Truncate completion to fit remaining budget - completion_ids = completion_ids[: max_seq_len - len(prompt_ids)] - completion_mask = completion_mask[: max_seq_len - len(prompt_ids)] - completion_logprobs = completion_logprobs[: max_seq_len - len(prompt_ids)] - is_truncated = True - - # Apply masking/zeroing based on config - if is_truncated and mask_truncated_completions: - completion_mask = [0] * len(completion_ids) # ← Masks all completion tokens - - # ... later ... - if zero_truncated_completions and is_truncated: - all_rewards.append(0) # ← Sets reward to 0 - all_is_truncated.append(True) - else: - all_rewards.append(reward) - all_is_truncated.append(False) -``` - -**No dataset-level filtering.** Budget is checked **during rollout** after each response is generated. - -**Conclusion:** Verifiers does NOT filter at dataset level. It checks budget during rollout and hard-truncates sequences at `max_seq_len`. - ---- - -### Q3: Train on Partial Tokens - What Does "Masked" Mean? - -**Answer: By default, train on partial tokens. With config flags, mask or zero-reward truncated episodes.** - -**Code Evidence:** - -**Truncation logic (from Q2 above):** -- Hard-truncate at `max_seq_len`: `completion_ids = completion_ids[: max_seq_len - len(prompt_ids)]` -- This creates partial tokens (e.g., "STA" if "STAND" was truncated) - -**Two configuration options:** - -**File:** `verifiers/rl/trainer/config.py` (lines 118-129) -```python -@dataclass -class GRPOTrainerConfig: - # ... - mask_truncated_completions: bool = False - # When True: Sets completion_mask = [0] * len(completion_ids) - # Effect: Excludes truncated tokens from loss calculation - - zero_truncated_completions: bool = False - # When True: Sets reward = 0 for truncated episodes - # Effect: Episode trains with negative advantage (if other episodes have positive rewards) -``` - -**File:** `verifiers/envs/environment.py` (lines 983-994) -```python -if is_truncated and mask_truncated_completions: - completion_mask = [0] * len(completion_ids) # ← Zero mask for all tokens - -# ... later ... -if zero_truncated_completions and is_truncated: - all_rewards.append(0) # ← Zero reward - all_is_truncated.append(True) -else: - all_rewards.append(reward) - all_is_truncated.append(False) -``` - -**Behavior:** - -| Setting | Partial tokens (e.g., "STA") in batch? | Gradient computed? | Reward | -|---------|----------------------------------------|--------------------|--------| -| Both `False` (default) | ✅ Yes | ✅ Yes - trains on "S", "T", "A" | Original reward | -| `mask_truncated_completions=True` | ✅ Yes | ❌ No - `completion_mask=0` | Original reward (but no gradient) | -| `zero_truncated_completions=True` | ✅ Yes | ✅ Yes | `reward=0` (negative advantage) | - -**Documentation:** - -**File:** `verifiers/docs/training.md` (lines 69-70) -```toml -mask_truncated_completions = false -zero_truncated_completions = true -``` - -Recommended config: keep masked tokens in batch, but zero their rewards. - -**Conclusion:** By default, Verifiers **trains on partial tokens**. With config flags, it can mask (zero gradient) or zero-reward truncated episodes while keeping them in the batch. - ---- - -### Q4: Reference Model Timing - -**Answer: No separate reference model - uses vLLM sampling logprobs** - -**Code Evidence:** - -**File:** `verifiers/rl/trainer/orchestrator.py` (lines 221-228) - Generation with logprobs - -```python -# Generate with vLLM (includes logprobs in response) -env_results = await self.env.a_generate( - repeated_ds, - client=self.client, - model=self.model_name, - sampling_args=self.sampling_args, # ← Includes logprobs=True - score_rollouts=True, - max_concurrent=self.max_concurrent, -) -``` - -**File:** `verifiers/rl/trainer/config.py` (lines 307-324) - Sampling args config - -```python -self.sampling_args = { - "temperature": self.temperature, - "top_p": self.top_p, - "max_tokens": self.max_tokens or self.max_seq_len, - "n": 1, - "logprobs": True, # ← Request logprobs during generation - "extra_body": { - "return_tokens_as_token_ids": True, - }, -} -``` - -**vLLM returns logprobs during generation**, which are stored in `state["responses"]` and used as "reference logprobs". - -**Training with importance sampling:** - -**File:** `verifiers/rl/trainer/trainer.py` (lines 241-262) - Loss computation - -```python -def compute_loss( - self, - batch: dict, - trainer_logprobs: torch.Tensor, - inference_logprobs: torch.Tensor, # ← From vLLM generation -) -> tuple[torch.Tensor, dict]: - """ - Compute GRPO loss with importance sampling - """ - advantages = batch["advantages"] - completion_mask = batch["completion_mask"] - - # Importance ratio: current policy vs inference policy - log_importance_ratio = trainer_logprobs - inference_logprobs - # ^^^^ inference_logprobs are the "reference" (from sampling time) - - # GRPO loss (similar to PPO) - # ... -``` - -**No separate reference model forward pass.** The "reference" is the policy at the time of sampling, whose logprobs are captured by vLLM. - -**Exact flow:** -``` -1. rollout (vLLM with logprobs=True) → captures inference_logprobs -2. score rollout → compute rewards -3. process_env_results_vllm → apply truncation masks/rewards -4. create microbatches (all episodes, including masked ones) -5. trainer.forward() → compute trainer_logprobs (current policy) -6. compute_loss(trainer_logprobs, inference_logprobs) → importance sampling -``` - -**Conclusion:** Verifiers does NOT have a separate reference model call. It uses vLLM's sampling logprobs as the reference for importance sampling. - ---- - -### Verifiers Summary - -| Question | Answer | Key Mechanism | -|----------|--------|---------------| -| **Q1: Variable groups** | ✅ Continue with fewer - dynamic advantage computation | `gmean = sum(group) / float(len(group))` | -| **Q2: Dataset filtering** | ❌ Rollout-level checking | Hard-truncate at `max_seq_len` during generation | -| **Q3: Train on partial** | ✅ Yes by default, mask/zero-reward if config enabled | `completion_mask=0` or `reward=0` for truncated | -| **Q4: Ref model timing** | N/A - no separate ref model | Uses vLLM sampling logprobs for importance sampling | - ---- - -## Cross-Library Comparison - -### Q1: Variable Group Sizes - -| Library | Continue with Fewer? | Resample to Exact Size? | Filter at Dataset? | Batching Strategy | -|---------|---------------------|------------------------|--------------------|-------------------| -| **TRL** | ❌ No - assumes fixed | ❌ No | ❌ No | Fixed batch size, `.view(-1, num_gen)` breaks with variable | -| **VERL** | ✅ Yes | ❌ No | ❌ No | Variable batch size, sequence balancing by token count | -| **NeMo-RL** | ✅ Yes (standard) | ✅ Yes (dynamic mode) | ❌ No | Fixed batch size (via resampling or fixed repetition) | -| **Tinker** | ✅ Yes | ❌ No | ❌ No | Variable batch size, explicit "train on smaller batch" | -| **Verifiers** | ✅ Yes | ❌ No | ❌ No | Variable batch size, dynamic padding | - -**Majority pattern:** Continue with fewer episodes (4/5 libraries) - -**Exception:** TRL assumes fixed size and will crash with variable groups - ---- - -### Q2: Dataset Filtering vs Rollout Checking - -| Library | Dataset Filtering? | Rollout Checking? | When is Budget Checked? | -|---------|-------------------|-------------------|------------------------| -| **TRL** | ❌ No | ⚠️ Partial (post-generation) | After generation, checks if last token is EOS | -| **VERL** | ❌ No | ✅ Yes | Before each turn, checks `len(response_mask) >= response_length` | -| **NeMo-RL** | ❌ No | ✅ Yes | After each turn, truncates env observation to fit budget | -| **Tinker** | ❌ No | ✅ Yes | After adding tool results, checks `observation.length > max_trajectory_tokens` | -| **Verifiers** | ❌ No | ✅ Yes | During generation, hard-truncates at `max_seq_len` | - -**Unanimous:** **No dataset filtering** - all libraries check budget during rollout - -**Reasoning:** Prompts grow during multi-turn rollouts (tool results, game state), so initial prompt length doesn't predict final length - ---- - -### Q3: Train on Partial Tokens - -| Library | Generates Partial Tokens? | Default Behavior | Masking Option? | How Masking Works | -|---------|--------------------------|------------------|-----------------|-------------------| -| **TRL** | ✅ Yes (e.g., "STA") | Train on partial | ✅ `mask_truncated_completions` | `completion_mask=0` → zero gradient | -| **VERL** | ❌ No - clean termination | N/A | ❌ N/A | Terminates before generating partial tokens | -| **NeMo-RL** | ❌ No - truncates env response | Train on full generation | ✅ `overlong_filtering` | `loss_multiplier=0` → zero gradient | -| **Tinker** | ❌ No - episode ends | Penalty via `reward=0.0` | ❌ No | No masking, just low reward | -| **Verifiers** | ✅ Yes (hard-truncated) | Train on partial | ✅ `mask_truncated_completions` | `completion_mask=0` → zero gradient | - -**Key insight:** "Masked" means **zero gradient** (via `completion_mask=0` or `loss_multiplier=0`), NOT excluded from batch - -**Clarification for user's Q3:** -- **"Train on partial tokens by default"**: TRL and Verifiers generate "STA" and compute gradients on it -- **"All of them mask"**: Libraries that generate partial tokens offer CONFIG OPTIONS to zero gradients -- **Default vs optional**: Most libraries train on partial by default, but allow masking via config - ---- - -### Q4: Reference Model Timing - -| Library | Flow | Ref Model Called for All Episodes? | Ref Model Called for Dropped Episodes? | -|---------|------|-------------------------------------|----------------------------------------| -| **TRL** | rollout → mask → **ref** → buffer | ✅ Yes | ✅ Yes (mask only affects gradient) | -| **VERL** | rollout → **ref** → train | ✅ Yes | N/A (no dropping) | -| **NeMo-RL** | rollout → filter → **ref** → train | ❌ No - only kept | ❌ No - skips if `is_batch_complete=False` | -| **Tinker** | rollout → filter → **ref** → train | ❌ No - only kept | ❌ No - filtered return `None` | -| **Verifiers** | rollout (captures logprobs) → train | N/A - no separate ref model | N/A | - -**Two patterns:** -1. **TRL/VERL**: Compute ref_model for ALL episodes, masking/filtering affects only gradients -2. **NeMo-RL/Tinker**: Filter first, compute ref_model only for kept episodes (more efficient) - ---- - -## Discussion & Design Decisions - -### User's Questions & Answers - ---- - -#### **Q1: Variable Group Sizes - "I'm afraid of dynamic batch sizes for compile"** - -**Answer: You can maintain fixed batch sizes for training while handling variable rollout sizes** - -**Evidence:** -- **TRL**: Pads all sequences to fixed dimensions (`max_completion_length`), so training batch is always fixed shape -- **NeMo-RL**: Uses dynamic sampling to resample until exactly `num_prompts * num_generations` episodes, maintaining fixed training batch size -- **VERL/Tinker/Verifiers**: Use variable batch sizes, but rely on padding/masking for fixed tensor shapes - -**Recommendation for blackjack:** - -```python -# Option A: Pad to fixed size (like TRL) -async def continuous_rollouts(tokenizer, pad_id): - GROUP_SIZE = cfg.group_size # e.g., 16 - - while not shutdown_event.is_set(): - episodes = [] - for game_idx in range(GROUP_SIZE): - episode = await play_game(...) - episodes.append(episode) - - # Filter invalid episodes - valid_episodes = [ - e for e in episodes - if not (e.is_truncated and not cfg.grpo.include_truncated_in_buffer) - ] - - if len(valid_episodes) < GROUP_SIZE: - # Pad with dummy episodes (zero loss_multiplier) - dummy_episode = create_dummy_episode(pad_id) - dummy_episode.loss_multiplier = 0 # No gradient - while len(valid_episodes) < GROUP_SIZE: - valid_episodes.append(dummy_episode) - - # Now valid_episodes is always exactly GROUP_SIZE - # Compute ref_logprobs, advantages, etc. -``` - -**Or simpler: Just continue with fewer episodes (like Tinker)** - -Most libraries handle variable sizes fine. Compilation works with dynamic shapes in modern PyTorch (2.0+). - ---- - -#### **Q2: Dataset Filtering - "Should we filter prompts > max_seq_len at dataset level?"** - -**Answer: No - all libraries check at rollout level** - -**Reasoning:** -1. **Multi-turn growth**: Initial prompt might be 500 tokens, but after 3 tool calls it's 2000 tokens -2. **Wasted filtering**: If you filter at dataset level, you'd drop potentially valid prompts that happen to have long initial messages but few turns -3. **Uniform pattern**: ALL 5 libraries check budget during rollout, NONE filter at dataset - -**For blackjack:** -- Initial prompt is small (~100 tokens for system message) -- Grows turn-by-turn with game state -- **Don't filter at dataset level** -- Check budget before each generation in `play_game()` - -**However:** You can add a **sanity check** to warn if initial prompts are unreasonably large: - -```python -# In play_game() -prompt_text = tokenizer.apply_chat_template(messages, ...) -prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) - -if len(prompt_tokens) >= max_seq_len: - logger.warning(f"Initial prompt ({len(prompt_tokens)} tokens) exceeds max_seq_len ({max_seq_len})") - record_metric("episode/initial_prompt_too_large", 1, Reduce.MEAN) - # Return truncated episode (don't crash) - return Episode(is_truncated=True, truncation_reason="initial_prompt_exceeds_budget", ...) -``` - ---- - -#### **Q3: "They train on partial tokens but also mask. What's happening?"** - -**Answer: "Masked" = zero gradient, NOT excluded from batch** - -**Clarification:** - -| Config | Partial Tokens in Batch? | Forward Pass Computed? | Gradient Computed? | -|--------|-------------------------|------------------------|-------------------| -| **Default** (no masking) | ✅ Yes ("STA") | ✅ Yes | ✅ Yes - trains on "STA" | -| **With masking** | ✅ Yes ("STA") | ✅ Yes | ❌ No - `completion_mask=0` zeros gradient | - -**Example from TRL:** -```python -# Batch contains: ["STAND", "HIT", "STA"] # "STA" is truncated -completion_mask = torch.tensor([[1,1,1,1,1], [1,1,1], [1,1,1]]) # Default: all 1s - -if mask_truncated_completions: - is_truncated = [False, False, True] - completion_mask = completion_mask * (~is_truncated).unsqueeze(1) - # Result: [[1,1,1,1,1], [1,1,1], [0,0,0]] # "STA" tokens masked to 0 - -# Loss computation -masked_loss = per_token_loss * completion_mask -# "STA" tokens contribute zero to loss (but are still in batch) -``` - -**Summary:** -- **"Train on partial"** = partial tokens go through forward pass and loss computation -- **"Masked"** = their loss contribution is multiplied by 0 (no gradient) -- They still occupy space in the batch, still go through ref_model, etc. - ---- - -#### **Q4: User's Proposed Flow - "Set reward, run ref_model, compute advantages, then decide buffer"** - -**Answer: Two valid patterns - recommend Tinker/NeMo-RL (filter first, then ref_model)** - -**User's proposed flow:** -``` -rollout → set reward → ref_model → compute advantages → buffer decision -``` - -**This matches TRL/VERL** - compute ref_model for ALL episodes, including ones that might be dropped. - -**Alternative (Tinker/NeMo-RL):** -``` -rollout → set reward → filter → ref_model (only kept) → compute advantages → add to buffer -``` - -**Pros/cons:** - -| Approach | Pros | Cons | -|----------|------|------| -| **Ref_model for all** (TRL/VERL) | Simpler code, no filtering logic | Wastes computation on episodes you'll drop | -| **Ref_model for kept** (Tinker/NeMo-RL) | More efficient (skip ref_model for dropped) | Slightly more complex (need to filter first) | - -**Recommendation:** Use **filter-first approach** (Tinker/NeMo-RL) for efficiency: - -```python -# In continuous_rollouts() -episodes = [] -for game_idx in range(group_size): - episode = await play_game(...) - episodes.append(episode) - -# Filter BEFORE ref_model -valid_episodes = [ - e for e in episodes - if not e.is_truncated or cfg.grpo.include_truncated_in_buffer -] - -if not valid_episodes: - continue # No valid episodes, skip entire rollout - -# Compute ref_logprobs ONLY for valid episodes -# (pad to max_len, batch together) -max_len = max(len(e.all_token_ids) for e in valid_episodes) -padded_tokens = [] -for episode in valid_episodes: - seq_len = len(episode.all_token_ids) - pad_len = max_len - seq_len - padded = F.pad(episode.all_token_ids, (0, pad_len), value=pad_id) - padded_tokens.append(padded) - -input_ids = torch.stack(padded_tokens) -ref_logprobs = await ref_model.forward.route(input_ids, 0, return_logprobs=True) - -# Unpad and assign -for i, episode in enumerate(valid_episodes): - seq_len = len(episode.all_token_ids) - episode.ref_logprobs = ref_logprobs[i, :seq_len] - -# Compute advantages -advantages = await compute_advantages.compute.call_one(valid_episodes) -for episode, advantage in zip(valid_episodes, advantages): - episode.advantage = advantage - await replay_buffer.add.call_one(episode) -``` - -This skips ref_model for dropped episodes, saving computation. - ---- - -## Blackjack Implementation - -Based on the library investigation, here's the recommended implementation for blackjack. - ---- - -### Configuration - -**File:** `apps/blackjack/qwen3_1_7b.yaml` - -```yaml -blackjack_env: - server_url: "http://localhost:8004" - server_port: 8004 - game_name: "blackjack" - model: "Qwen/Qwen3-1.7B" - max_seq_len: 2048 # Episode-level budget (all turns) - max_turns: 10 # Hard limit on turns per episode - -grpo: - group_size: 16 # Number of games per group - include_truncated_in_buffer: false # Drop truncated episodes (configurable) - -policy: - engine_args: - enable_prefix_caching: true # Critical for multi-turn (2-3x speedup) - max_model_len: 4096 # vLLM model context limit -``` - ---- - -### Episode Class - -**File:** `apps/blackjack/episode.py` (new file) - -```python -from dataclasses import dataclass, field -from typing import Any -import torch - - -@dataclass -class Episode: - """ - Episode data for GRPO training with multi-turn support. - - For blackjack (multi-turn game, single episode): - - all_token_ids: [prompt1, resp1, prompt2, resp2, ...] - - response_mask: [0, 0, ..., 1, 1, ..., 0, 0, ..., 1, 1, ...] - [ prompt1 ][ resp1 ][ prompt2 ][ resp2 ] - - reward: Final game outcome (win/loss/push) - - One episode = one complete game with all turns. - """ - - # ============ Core Identifiers ============ - episode_id: str - task_name: str | None = None # e.g., "blackjack" - - # ============ Policy Version (for replay buffer eviction) ============ - generator_version: int = 0 - is_truncated: bool = False # Hit max_seq_len or max_turns - truncation_reason: str | None = None # "max_seq_len", "initial_prompt_exceeds_budget", "max_turns" - - # ============ Token Data ============ - all_token_ids: torch.Tensor # Shape: (seq_len,) - logprobs: torch.Tensor # Shape: (seq_len,) - response_mask: torch.Tensor # Shape: (seq_len,) - # 1.0 = train on this token (response) - # 0.0 = skip this token (prompt) - - # ============ Rewards & Training ============ - reward: float | None = None - advantage: float | None = None - ref_logprobs: torch.Tensor | None = None # Shape: (seq_len,) - - # ============ Metadata ============ - metadata: dict[str, Any] = field(default_factory=dict) - # Suggested fields: - # - num_turns: int - # - game_id: str - # - env_reward: float (raw from environment) - - # ============ Optional Debugging ============ - message_log: list[dict[str, Any]] | None = None - # OpenAI-compatible messages for debugging/analysis - - -# Type alias for GRPO groups -Group = list[Episode] -``` - ---- - -### Unified Action Parser - -**File:** `apps/blackjack/main.py` - -```python -def parse_action(response_text: str) -> str: - """ - Parse action from model's text response. - - Returns: - "HIT", "STAND", or "INVALID" - - Note: - INVALID actions default to STAND in play_game(). - """ - text_lower = response_text.lower().strip() - - if text_lower.endswith("hit"): - return "HIT" - elif text_lower.endswith("stand"): - return "STAND" - else: - return "INVALID" -``` - ---- - -### Reward Calculation - -**File:** `apps/blackjack/main.py` - -```python -def calculate_reward(env_reward: float) -> float: - """ - Reward structure: - - Win: +3 - - Else: -1 - - Args: - env_reward: Raw environment reward (+1 win, 0 push, -1 loss) - - Returns: - Final shaped reward for training - """ - if env_reward > 0: # Win - return 3.0 - else: # Loss or push - return -1.0 -``` - ---- - -### Multi-Turn Game Rollout - -**File:** `apps/blackjack/main.py` - -```python -async def play_game( - game_idx: int, - game_id: str, - server_url: str, - policy: Generator, - tokenizer, - pad_id: int, - max_seq_len: int = 2048, - max_turns: int = 10, - rollout_count: int = 0, -) -> Episode: - """ - Play a single blackjack game and return ONE episode with all turns. - - Key changes from single-turn: - - Formats messages each turn (not once at start) - - Tracks episode-level budget (max_seq_len) - - Returns single Episode with concatenated tokens - - Includes response_mask for training - - Returns: - Episode with all turns concatenated - """ - env = OpenSpielEnv(base_url=server_url) - env._http.trust_env = False - - print(f"\n🎮 GAME {game_idx + 1} (Rollout #{rollout_count + 1}) - ID: {game_id}") - - # Initialize message history - messages = [ - { - "role": "system", - "content": "You are an expert BlackJack player. Analyze the game state and output only 'HIT' or 'STAND'.", - } - ] - - # Track all tokens and masks across all turns - all_tokens = [] - all_logprobs = [] - response_mask = [] - - # Track for truncation - is_truncated = False - truncation_reason = None - - try: - result = env.reset() - obs = result.observation - done = False - turn_num = 0 - - while not done and turn_num < max_turns: - # Add user message with current game state - player_total = obs.metadata.get("player_total", "?") - dealer_card = obs.metadata.get("dealer_card", "?") - dealer_str = "Ace" if dealer_card == 1 else str(dealer_card) - - state_desc = f"=== BlackJack Game (Turn {turn_num + 1}) ===\n\n" - state_desc += "Current State:\n" - state_desc += f" Your hand total: {player_total}\n" - state_desc += f" Dealer shows: {dealer_str}\n" - state_desc += f" Legal actions: HIT, STAND\n\n" - state_desc += "What do you do? Output only 'HIT' or 'STAND'." - - messages.append({"role": "user", "content": state_desc}) - - # Format prompt from full message history - prompt_text = tokenizer.apply_chat_template( - messages, add_generation_prompt=True, tokenize=False - ) - - # Encode to check budget (ROLLOUT-LEVEL CHECK, following all libraries) - prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) - - # Check if prompt exceeds budget (like VERL/Tinker/NeMo-RL) - if len(prompt_tokens) >= max_seq_len: - is_truncated = True - truncation_reason = "max_seq_len" - record_metric("episode/terminated_budget_exceeded", 1, Reduce.MEAN) - print(f" [TRUNCATED] Prompt length {len(prompt_tokens)} >= {max_seq_len}") - break - - # Calculate remaining budget for this turn - remaining = max_seq_len - len(prompt_tokens) - - # Safety check (like NeMo-RL) - if remaining <= 0: - is_truncated = True - truncation_reason = "zero_budget" - record_metric("episode/terminated_zero_budget", 1, Reduce.MEAN) - break - - # Generate with remaining budget - try: - responses = await asyncio.wait_for( - policy.generate.route( - [prompt_text], sampling_params={"max_tokens": remaining} - ), - timeout=60.0, - ) - except asyncio.TimeoutError: - print(f"[ERROR] Policy generation timed out for {game_id} at turn {turn_num}") - raise - - response = responses[0] - - # Check if generation was cut off (like TRL/Verifiers) - if response.stop_reason == "length": - is_truncated = True - truncation_reason = "generation_length" - record_metric("episode/generation_truncated", 1, Reduce.MEAN) - print(f" [TRUNCATED] Generation hit max_tokens={remaining}") - # Note: We continue to parse and execute, but mark episode as truncated - # This follows VERL's pattern (but VERL terminates cleanly, we don't generate partial) - - # Accumulate tokens and build response mask - all_tokens.extend(prompt_tokens) - all_tokens.extend(response.token_ids) - response_mask.extend([0] * len(prompt_tokens)) # Don't train on prompts - response_mask.extend([1] * len(response.token_ids)) # Train on responses - all_logprobs.extend([0.0] * len(prompt_tokens)) - all_logprobs.extend(response.logprobs) - - # Parse action - action_name = parse_action(response.text) - - # Add assistant response to message history - messages.append({"role": "assistant", "content": response.text}) - - if action_name == "INVALID": - action_name = "STAND" # Fallback - action_id = 1 - elif action_name == "HIT": - action_id = 0 - elif action_name == "STAND": - action_id = 1 - - # Execute action - result = env.step(OpenSpielAction(action_id=action_id, game_name="blackjack")) - obs = result.observation - done = result.done - - turn_num += 1 - - # Check if hit max_turns - if turn_num >= max_turns and not done: - is_truncated = True - truncation_reason = "max_turns" - record_metric("episode/hit_max_turns", 1, Reduce.MEAN) - - # Get final game outcome - final_game_reward = result.reward - - outcome_text = ( - "WIN" if final_game_reward > 0 else ("LOSS" if final_game_reward < 0 else "PUSH") - ) - print(f" Result: {outcome_text} (reward={final_game_reward}, turns={turn_num})") - - # Calculate final reward - reward = calculate_reward(env_reward=final_game_reward) - - # Metrics - record_metric("reward/env_reward", final_game_reward, Reduce.MEAN) - record_metric("reward/final_reward", reward, Reduce.MEAN) - record_metric("game/total_games_played", 1, Reduce.SUM) - record_metric("game/average_game_length_in_turns", turn_num, Reduce.MEAN) - record_metric("game/win_rate", 1 if final_game_reward > 0 else 0, Reduce.MEAN) - - # Create episode - episode = Episode( - episode_id=str(uuid.uuid4()), - task_name="blackjack", - generator_version=0, # TODO: Get from policy - is_truncated=is_truncated, - truncation_reason=truncation_reason, - all_token_ids=torch.tensor(all_tokens, dtype=torch.long), - logprobs=torch.tensor(all_logprobs, dtype=torch.float), - response_mask=torch.tensor(response_mask, dtype=torch.float), - reward=reward, - advantage=None, # Computed later - ref_logprobs=None, # Computed later - message_log=messages, - metadata={ - "num_turns": turn_num, - "game_id": game_id, - "env_reward": final_game_reward, - }, - ) - - return episode - - except Exception as e: - print(f"[ERROR] play_game {game_id} failed with {type(e).__name__}: {e}") - import traceback - - traceback.print_exc() - raise - finally: - env.close() -``` - ---- - -### Continuous Rollouts - -**File:** `apps/blackjack/main.py` - -Following **Tinker/NeMo-RL pattern** - filter first, then compute ref_model only for kept episodes. - -```python -async def continuous_rollouts(tokenizer, pad_id): - """ - Continuous rollout loop following Tinker/NeMo-RL pattern: - 1. Generate episodes - 2. Filter invalid/truncated (if config) - 3. Compute ref_logprobs ONLY for kept episodes - 4. Compute advantages - 5. Add to buffer - """ - rollout_count = 0 - server_url = cfg.blackjack_env.get("server_url", "http://localhost:8004") - max_seq_len = cfg.blackjack_env.get("max_seq_len", 2048) - max_turns = cfg.blackjack_env.get("max_turns", 10) - group_size = cfg.grpo.get("group_size", 16) - include_truncated = cfg.grpo.get("include_truncated_in_buffer", False) - - while not shutdown_event.is_set(): - t = Tracer("main_perf/continuous_rollouts") - t.start() - - # Step 1: Generate group_size games - episodes = [] - for game_idx in range(group_size): - game_id = str(uuid.uuid4())[:8] - episode = await play_game( - game_idx=game_idx, - game_id=game_id, - server_url=server_url, - policy=policy, - tokenizer=tokenizer, - pad_id=pad_id, - max_seq_len=max_seq_len, - max_turns=max_turns, - rollout_count=rollout_count, - ) - episodes.append(episode) - - t.step("play_games") - - # Metrics - record_metric("rollout/episodes_generated", len(episodes), Reduce.SUM) - - # Step 2: Filter BEFORE ref_model (Tinker/NeMo-RL approach - more efficient) - valid_episodes = [ - e for e in episodes if not e.is_truncated or include_truncated - ] - - if not valid_episodes: - print(f"[WARNING] No valid episodes in rollout {rollout_count}, skipping") - record_metric("rollout/rollouts_with_no_valid_episodes", 1, Reduce.SUM) - rollout_count += 1 - continue - - record_metric("rollout/episodes_kept", len(valid_episodes), Reduce.SUM) - record_metric("rollout/episodes_dropped", len(episodes) - len(valid_episodes), Reduce.SUM) - - # Step 3: Compute ref_logprobs ONLY for valid episodes - # Pad episodes to same length for batching - max_len = max(len(e.all_token_ids) for e in valid_episodes) - padded_tokens = [] - for episode in valid_episodes: - seq_len = len(episode.all_token_ids) - pad_len = max_len - seq_len - padded = F.pad(episode.all_token_ids, (0, pad_len), value=pad_id) - padded_tokens.append(padded) - - input_ids = torch.stack(padded_tokens) # [num_valid_episodes, max_len] - - # Get reference logprobs - ref_logprobs = await ref_model.forward.route( - input_ids, 0, return_logprobs=True # 0 = no separate prompt (mask handles it) - ) - t.step("reference_model_calculate_logprobs") - - # Assign ref_logprobs to episodes (unpad) - for i, episode in enumerate(valid_episodes): - seq_len = len(episode.all_token_ids) - episode.ref_logprobs = ref_logprobs[i, :seq_len] # Unpad - - del ref_logprobs, input_ids - - # Step 4: Compute advantages - advantages = await compute_advantages.compute.call_one(valid_episodes) - t.step("compute_advantages") - - # Step 5: Add to buffer - for episode, advantage in zip(valid_episodes, advantages): - episode.advantage = advantage - await replay_buffer.add.call_one(episode) - - rollout_count += 1 - record_metric("main/continuous_rollouts/count_rollout_iterations", 1, Reduce.SUM) - t.stop() -``` - ---- - -### Collate Function - -**File:** `apps/blackjack/main.py` - -```python -def collate(batches: list[Group]) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: - """ - Collates episodes into batches with dynamic padding. - - Each episode has variable length (different number of turns). - Handles variable-length episodes like VERL/Tinker/Verifiers. - """ - inputs = [] - targets = [] - - for batch in batches: - # Find max length in this batch - max_len = max(len(e.all_token_ids) for e in batch) - pad_id = 0 # Will be set via F.pad value parameter - - all_token_ids = [] - logprobs_list = [] - ref_logprobs_list = [] - advantages_list = [] - masks = [] - - for e in batch: - seq_len = len(e.all_token_ids) - pad_len = max_len - seq_len - - # Right-pad tokens - padded_tokens = F.pad(e.all_token_ids, (0, pad_len), value=pad_id) - all_token_ids.append(padded_tokens) - - # Right-pad response_mask (0 for padding) - padded_mask = F.pad(e.response_mask, (0, pad_len), value=0) - masks.append(padded_mask) - - # Pad logprobs - padded_logprobs = F.pad(e.logprobs, (0, pad_len), value=0) - logprobs_list.append(padded_logprobs) - - # Pad ref_logprobs - padded_ref = F.pad(e.ref_logprobs, (0, pad_len), value=0) - ref_logprobs_list.append(padded_ref) - - advantages_list.append(e.advantage) - - input = {"tokens": torch.stack(all_token_ids)} - target = { - "response": torch.stack(all_token_ids), # Full sequence - "ref_logprobs": torch.stack(ref_logprobs_list), - "advantages": torch.tensor(advantages_list).unsqueeze(-1), - "padding_mask": torch.stack(masks), # Combined response + padding mask - } - - inputs.append(input) - targets.append(target) - - return inputs, targets -``` - ---- - -### Main Setup - -**File:** `apps/blackjack/main.py` - -```python -async def main(cfg: DictConfig): - """Main GRPO training loop with rollout and training processes.""" - group_size = cfg.grpo.group_size - max_req_tokens = cfg.max_req_tokens # Deprecated, but keep for compatibility - max_res_tokens = cfg.max_res_tokens # Deprecated, but keep for compatibility - - # ---- Start OpenSpiel Server ---- # - # ... (same as before) ... - - # ---- Global setups ---- # - # ... (same as before) ... - - # ---- Setup services ---- # - ( - policy, - trainer, - replay_buffer, - compute_advantages, - ref_model, - ) = await asyncio.gather( - Policy.options(**cfg.services.policy).as_service(**cfg.policy), - TitanTrainer.options(**cfg.actors.trainer).as_actor(**cfg.trainer, loss=simple_grpo_loss), - ReplayBuffer.options(**cfg.actors.replay_buffer).as_actor(**cfg.replay_buffer, collate=collate), - ComputeAdvantages.options(**cfg.actors.compute_advantages).as_actor(), - ReferenceModel.options(**cfg.services.ref_model).as_service(**cfg.ref_model), - ) - - # Get tokenizer for rollout loop (following VERL/NeMo-RL/Tinker pattern) - from vllm.transformers_utils.tokenizer import get_tokenizer - - tokenizer = get_tokenizer(cfg.blackjack_env.model) - pad_id = tokenizer.pad_token_id if tokenizer.pad_token_id is not None else tokenizer.eos_token_id - - print("All services initialized successfully!") - - # ... (rest of main setup) ... - - # ---- Core RL loops ---- # - num_rollout_threads = cfg.get("rollout_threads", 1) - num_training_threads = cfg.get("training_threads", 1) - - print(f"Starting GRPO with {num_rollout_threads} rollout threads, {num_training_threads} training threads") - - rollout_tasks = [ - asyncio.create_task(continuous_rollouts(tokenizer, pad_id)) - for _ in range(num_rollout_threads) - ] - training_task = asyncio.create_task(continuous_training()) - - try: - await training_task - except KeyboardInterrupt: - print("Training interrupted by user") - finally: - # ... (shutdown logic same as before) ... -``` - ---- - -## Summary & Recommendations - -### Key Findings - -1. **Variable group sizes**: - - **Majority (4/5)** continue with fewer episodes - - **TRL** breaks with variable sizes (assumes fixed) - - **Recommendation**: Continue with fewer (like Tinker), or pad to fixed size if needed for compile - -2. **Dataset filtering**: - - **ALL libraries** check budget at rollout level, NOT dataset level - - **Recommendation**: Check budget during `play_game()`, don't filter at dataset - -3. **Train on partial tokens**: - - **"Masked" = zero gradient**, not excluded from batch - - Libraries either generate partial tokens (TRL/Verifiers) or terminate cleanly (VERL/NeMo-RL/Tinker) - - **Recommendation**: Follow VERL/Tinker - terminate before generating partial tokens - -4. **Reference model timing**: - - **TRL/VERL**: Compute for all episodes - - **NeMo-RL/Tinker**: Filter first, compute only for kept episodes (more efficient) - - **Recommendation**: Follow Tinker/NeMo-RL - filter first, then ref_model - -### Implementation Checklist - -- [x] New Episode class with `all_token_ids`, `response_mask`, `logprobs` -- [x] Unified `parse_action()` function -- [x] Separate `calculate_reward()` function -- [x] Multi-turn `play_game()` with budget tracking -- [x] `continuous_rollouts()` with filter-first pattern -- [x] Variable-length `collate()` function -- [x] Config parameters: `max_seq_len`, `max_turns`, `include_truncated_in_buffer` -- [ ] Remove old Episode class from main.py -- [ ] Remove `BlackJackReward` actor -- [ ] Remove `EnvironmentActor` class -- [ ] Test with single game -- [ ] Test with group_size > 1 -- [ ] Monitor truncation metrics - ---- - -**End of Document** diff --git a/brainstorming_forge_tau/4_examples_APIs.md b/brainstorming_forge_tau/4_examples_APIs.md deleted file mode 100644 index c0756fd2e..000000000 --- a/brainstorming_forge_tau/4_examples_APIs.md +++ /dev/null @@ -1,4395 +0,0 @@ -# Example APIs and Patterns - -**Goal:** Understand existing patterns for tool calling + multi-turn to design our own clean API for Forge. - -**UPDATED:** Now includes deep dive into TRL's low-level implementation of multi-turn with OpenEnv. - ---- - -## 📊 Framework Comparison: Component Coverage Analysis - -### Complete Multi-Turn Tool Calling RL Loop Components - -Below is the breakdown of ALL components needed for a complete multi-turn tool calling RL system, organized into three phases: - -#### **Phase 1: Episode Execution (Rollout)** - -1. **Episode Initialization** - - Create/reset environment - - Set initial state - - Build initial prompt - -2. **Multi-Turn Generation Loop** - - Format prompt with conversation history + tool definitions - - Call generator/LLM - - Parse response (tool call vs final answer) - - Execute tools if tool call detected - - Update conversation history - - Determine continue vs terminate - -3. **Token Collection & Tracking** - - Store generated tokens per turn - - Store logprobs per token - - Track response mask (which tokens are LLM output vs tool results) - - Concatenate multi-turn tokens OR store per-step - -#### **Phase 2: Reward & Advantage** - -4. **Reward Computation** - - Score final outcome - - Assign rewards (sparse or dense) - - Handle multi-step credit assignment - -5. **Reference Model (for KL penalty)** - - Get reference logprobs for generated tokens - - Compute KL divergence - -6. **Advantage Computation** - - Normalize rewards (e.g., group-relative for GRPO) - - Compute advantages (GAE or other methods) - -#### **Phase 3: Training** - -7. **Training Data Preparation** - - Create batches from episodes - - Apply response masks - - Format for loss function - -8. **Training Step** - - Forward pass through model - - Compute loss (GRPO/PPO/Importance Sampling) - - Backward pass - - Optimizer step - - -**Note:** The examples below provide detailed implementations addressing all these components. - ---- - -## Example 1: OpenEnv BlackJack (Forge Integration) - -**Location:** `/home/felipemello/forge/OpenEnv/examples/grpo_blackjack/grpo_utils.py` - -### Architecture - -``` -Forge GRPO → OpenEnv HTTP Server → Game Logic - ↓ -Generator (vLLM) → Text Response - ↓ -Parse Action → Execute in Environment - ↓ -Collect Episodes → Train -``` - -### Key Components - -**1. Episode Structure** -```python -@dataclass -class Episode: - episode_id: str - pad_id: int - request_len: int - response_len: int - game_id: str - step_in_game: int - completion: Completion | None = None - ref_logprobs: torch.Tensor | None = None - reward: float | None = None - advantage: float | None = None -``` - -**2. Rollout Loop (play_game)** -```python -async def play_game(game_idx, game_id, server_url, policy, tokenizer, game_log): - env = OpenSpielEnv(base_url=server_url) - result = env.reset() - - step_num = 0 - action_history = [] - game_steps = [] - done = False - - while not done and step_num < 10: - # 1. Format prompt from game state - prompt = format_prompt(step_num, action_history, tokenizer) - - # 2. Generate response with policy - responses = await policy.generate.route(prompt) - response = responses[0] - - # 3. Parse action from text - action_id = parse_action(response.text, obs.legal_actions) - action_name = "HIT" if action_id == 0 else "STAND" - action_history.append((action_id, action_name)) - - # 4. Store step data - game_steps.append({ - "step_num": step_num, - "prompt": prompt, - "response": response, - }) - - # 5. Execute action in environment - result = env.step(OpenSpielAction(action_id=action_id)) - obs = result.observation - done = result.done - step_num += 1 - - # 6. Get final reward - final_game_reward = result.reward # +1, -1, or 0 - - # 7. Assign final reward to all steps - all_step_results = [] - for step_data in game_steps: - all_step_results.append({ - "game_id": game_id, - "final_reward": final_game_reward, - **step_data, - }) - - return all_step_results -``` - -**3. Prompt Formatting** -```python -def format_prompt(step_num: int, action_history: list, tokenizer) -> str: - system = "You are an expert BlackJack player. Output only 'HIT' or 'STAND'." - - state_desc = f"=== BlackJack Game (Step {step_num + 1}) ===\n\n" - if action_history: - state_desc += "Previous actions:\n" - for i, (_, name) in enumerate(action_history): - state_desc += f" {i + 1}. {name}\n" - state_desc += "\n" - - state_desc += "What do you do? (Output only 'HIT' or 'STAND')" - - chat = [ - {"role": "system", "content": system}, - {"role": "user", "content": state_desc}, - ] - - return tokenizer.apply_chat_template( - chat, tokenize=False, add_generation_prompt=True - ) -``` - -**4. Action Parsing** -```python -def parse_action(response_text: str, legal_actions: list[int]) -> int: - text_lower = response_text.lower().strip() - - if "hit" in text_lower: - action_id = 0 - elif "stand" in text_lower: - action_id = 1 - else: - action_id = 1 # Default: STAND - - # Ensure action is legal - if action_id not in legal_actions: - action_id = legal_actions[0] - - return action_id -``` - -**5. Episode Creation (in continuous_rollouts)** -```python -# Play multiple games -for game_idx in range(group_size): - game_id = str(uuid.uuid4())[:8] - step_results = await play_game( - game_idx, game_id, server_url, policy, tokenizer, game_log - ) - all_step_results.extend(step_results) - -# Create episodes -episodes = [] -for step_result in all_step_results: - episode = Episode( - episode_id=str(uuid.uuid4()), - pad_id=pad_id, - request_len=max_req_tokens, - response_len=max_res_tokens, - game_id=step_result["game_id"], - step_in_game=step_result["step_num"], - completion=step_result["response"], - ) - - # Evaluate reward (with optional shaping) - episode.reward = await reward_actor.evaluate_response.route( - prompt=step_result["prompt"], - response=step_result["response"].text, - game_reward=step_result["final_reward"], - ) - - episodes.append(episode) -``` - -**6. Integration with Forge GRPO** -```python -# Get reference logprobs -ref_logprobs = await ref_model.forward.route( - input_ids, max_req_tokens, return_logprobs=True -) -for i, episode in enumerate(episodes): - episode.ref_logprobs = ref_logprobs[i] - -# Compute advantages (group-relative) -advantages = await compute_advantages.compute.call_one(episodes) -for episode, advantage in zip(episodes, advantages): - episode.advantage = advantage - await replay_buffer.add.call_one(episode) -``` - -### Key Insights - -✅ **Text-based action parsing works**: No need for structured tool calling -✅ **Multi-step = multiple episodes**: One episode per step, shared final reward -✅ **Action history in prompt**: Previous actions included in context -✅ **Simple prompt formatting**: Chat template with system + user message -✅ **Async environment calls**: `await env.step()` wraps sync OpenEnv - -### Episode Organization: Per-Step Strategy - -**BlackJack uses Strategy A:** Each step = separate Episode - -```python -# Game with 3 steps produces 3 Episodes: -Episode(game_id="abc123", step_in_game=0, reward=1.0) # Step 1 -Episode(game_id="abc123", step_in_game=1, reward=1.0) # Step 2 -Episode(game_id="abc123", step_in_game=2, reward=1.0) # Final step -``` - -**Credit Assignment:** -- Final game reward (`+1`, `-1`, or `0`) is assigned to ALL steps -- Each step trains independently -- No gradient flow between steps - -**Why this works:** -- Simpler implementation -- Each Episode is self-contained -- No need for response masks (each completion is pure LLM output) -- Matches existing Forge GRPO pattern - ---- - -## Example 2: Tinker-Cookbook Search Tool (Multi-turn + Tools) - -**Location:** `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/recipes/tool_use/search/` - -### Architecture - -``` -RL Training Loop → SearchEnv → ChromaDB Tool - ↓ -Model Generate → Parse Tool Calls - ↓ -Execute Tools → Return Results - ↓ -Continue or Terminate → Reward -``` - -### Key Components - -**1. Tool Interface** -```python -class ToolClientInterface(ABC): - @abstractmethod - def get_tool_schemas(self) -> list[dict[str, Any]]: - """Returns tool definitions""" - ... - - @abstractmethod - async def invoke(self, tool_call: ToolCall) -> list[Message]: - """Executes tool and returns results""" - ... -``` - -**2. Tool Schema** -```python -{ - "name": "search", - "title": "Wikipedia search", - "description": "Searches Wikipedia for relevant information...", - "inputSchema": { - "type": "object", - "properties": { - "query_list": { - "type": "array", - "items": {"type": "string"}, - "description": "A list of fully-formed semantic queries...", - } - }, - "required": ["query_list"], - }, - "outputSchema": { - "type": "string", - "description": "The search results in JSON format", - }, -} -``` - -**3. System Prompt with Tool Instructions** -```python -SEARCH_TOOL_SYSTEM_PROMPT = """ -You are an expert assistant who solves tasks using a Wikipedia search tool. -Tool calling. Execute the tool by wrapping calls in ... - -The search tool you are given has the following schema: -{tool_schema} - -Here are instructions for how to solve a problem: -1. Think step by step before calling the tool -2. Call the tool with the queries you have decided on -3. Think step by step again after you receive the result -4. If you have the information you need, provide your answer -5. Otherwise, come up with new queries -6. Include your final answer after the "Answer:" prefix - -Example: -Question: "Between 2020 and 2025, which year did NYC see most growth?" -1. Think: I need to search for NYC population data 2020-2025 -2. Tool call: {"name": "search", "args": {"query_list": ["NYC population 2020-2025"]}} -3. Think: Based on results, 2024 had most growth. Now check San Francisco... -4. Tool call: {"name": "search", "args": {"query_list": ["SF population 2024"]}} -5. Answer: NYC grew most in 2024, SF changed by XXXX. -""" -``` - -**4. Environment Step Function** -```python -class SearchEnv(ProblemEnv): - async def step(self, action: Action) -> StepResult: - # Parse response (text or tool call) - message, parse_success = self.renderer.parse_response(action) - self.past_messages.append(message) - - # If tool call - if "tool_calls" in message: - if message["tool_calls"][0]["name"] == "search": - self.current_num_calls += 1 - - # Check max calls limit - if self.current_num_calls > self.max_num_calls: - return StepResult( - reward=0.0, - episode_done=True, - next_observation=ModelInput.empty(), - ) - - # Execute tool - tool_return_message = await self.call_search_tool( - message["tool_calls"][0] - ) - self.past_messages.extend(tool_return_message) - - # Continue episode with tool results - next_observation = self.renderer.build_generation_prompt( - self.past_messages - ) - return StepResult( - reward=0.0, - episode_done=False, - next_observation=next_observation, - ) - - # If final answer (no tool call) - else: - correct_format = self.check_format(message["content"]) - correct_answer = self.check_answer(message["content"]) - total_reward = format_coef * (correct_format - 1) + correct_answer - - return StepResult( - reward=total_reward, - episode_done=True, - next_observation=ModelInput.empty(), - metrics={"format": correct_format, "correct": correct_answer}, - ) -``` - -**5. Message/History Management** -```python -class SearchEnv: - def __init__(self, ...): - self.past_messages: list[Message] = [] - self.convo_prefix: list[Message] = convo_prefix or [] - - async def initial_observation(self): - convo = self.convo_prefix + [ - {"role": "user", "content": self.get_question()}, - ] - self.past_messages = convo.copy() - return self.renderer.build_generation_prompt(convo) - - async def step(self, action): - message = parse_response(action) - self.past_messages.append(message) # Add assistant message - - if is_tool_call(message): - tool_result = await execute_tool(...) - self.past_messages.extend(tool_result) # Add tool result - - # Build next prompt with full history - next_prompt = self.renderer.build_generation_prompt( - self.past_messages - ) - return StepResult(next_observation=next_prompt, ...) -``` - -**6. Renderer Pattern (Message → Prompt)** -```python -class Renderer: - def build_generation_prompt(self, messages: list[Message]) -> ModelInput: - """Convert message history to tokenized prompt""" - # Format: [system, user, assistant, tool, user, assistant, ...] - prompt_text = self.tokenizer.apply_chat_template( - messages, - tokenize=False, - add_generation_prompt=True - ) - return ModelInput(prompt=prompt_text, tokens=...) - - def parse_response(self, action: Action) -> tuple[Message, bool]: - """Parse model output to Message (text or tool call)""" - # Check for ... - if "" in action.text: - tool_call = extract_tool_call(action.text) - return Message( - role="assistant", - tool_calls=[tool_call] - ), True - else: - return Message( - role="assistant", - content=action.text - ), True -``` - -**7. Tool Execution** -```python -async def call_search_tool(self, tool_call: ToolCall) -> list[Message]: - # Validate tool call - if tool_call["name"] != "search": - return [Message(role="tool", content="Error: invalid tool")] - - # Execute tool (async) - query_list = tool_call["args"]["query_list"] - results = await self.chroma_tool_client.invoke(query_list) - - # Format results as tool message - message_content = "" - for query, documents in zip(query_list, results["documents"]): - message_content += f"Query: {query}\n" - for i, doc in enumerate(documents): - message_content += f"Document {i + 1}:\n{doc}\n" - - return [Message(role="tool", content=message_content)] -``` - -### Key Insights - -✅ **Tool calls wrapped in special tags**: `...` -✅ **Message history tracked explicitly**: `self.past_messages` grows each turn -✅ **Renderer abstracts prompt building**: Clean separation of concerns -✅ **Environment controls episode flow**: Decides when to continue vs terminate -✅ **Sparse rewards at end**: Intermediate tool calls get reward=0 -✅ **Tool results added to history**: Next prompt includes tool outputs - -### Response Masking Implementation - -**File:** `tinker_cookbook/rl/data_processing.py:160-168` - -**How Tinker builds the mask during trajectory→training data conversion:** - -```python -# For each transition (observation → action): -def trajectory_to_data(traj: Trajectory, traj_advantage: float): - for transition in traj.transitions: - ob = transition.ob # Environment observation (includes tool results) - ac = transition.ac # LLM-generated action - - delta_ob_len = len(observation_tokens) # Tool results, env state - ac_len = len(action_tokens) # LLM output - - # Build mask: 0 for observations, 1 for actions - SequenceAccumulator.mask.extend( - [0.0] * delta_ob_len + # DON'T train on observations - [1.0] * ac_len # TRAIN on LLM actions - ) - - # Also accumulate advantages (only for action tokens) - SequenceAccumulator.advantages.extend( - [0] * delta_ob_len + # No advantage for observations - [traj_advantage] * ac_len # Advantage for actions - ) -``` - -**Final training data:** -```python -tinker.Datum( - model_input=input_tokens, - loss_fn_inputs={ - "target_tokens": targets, - "logprobs": sampled_logprobs, - "advantages": advantages, # Per-token advantages - "mask": mask, # Per-token mask - } -) -``` - -**Key points:** -- Per-token granularity: Each token has its own mask value -- Applied during loss computation via element-wise multiplication -- Observations (tool results) get `mask=0.0` → no gradient -- Actions (LLM output) get `mask=1.0` → full gradient - ---- - -### Tinker-Cookbook Deep Dive: Low-Level Implementation Details - -**NOW LET'S LOOK AT THE ACTUAL CODE** to see how Tinker-Cookbook implements multi-turn tool calling. - -#### **1. Renderer: How Prompts Are Actually Built** (`renderers.py`) - -The Renderer is KEY to understanding Tinker. Here's how it ACTUALLY works: - -**Qwen3Renderer Example** (with tool calling support): - -```python -class Qwen3Renderer(Renderer): - def _render_message(self, idx: int, message: Message) -> tuple[list[int], list[int], list[int]]: - """Render a message into three parts: observation, action, action_tail.""" - maybe_newline = "\n" if idx > 0 else "" - ob_str = f"{maybe_newline}<|im_start|>{message['role']}\n" - - # Handle tool calls - ac_content = message["content"] - if "tool_calls" in message: - # Add tool call XML to content - ac_content += "\n".join( - [ - f"\n{json.dumps(tool_call)}\n" - for tool_call in message["tool_calls"] - ] - ) - ac_content += "<|im_end|>" - - return ( - self.tokenizer.encode(ob_str, add_special_tokens=False), # Observation - self.tokenizer.encode(ac_content, add_special_tokens=False), # Action - self.tokenizer.encode("", add_special_tokens=False), # Action tail (empty for Qwen) - ) - - def build_generation_prompt( - self, messages: list[Message], role: Role = "assistant", prefill: str | None = None - ) -> tinker.ModelInput: - """Build prompt for generation from message history.""" - tokens: list[int] = [] # No BOS token for Qwen - for idx, message in enumerate(messages): - ob_part, action_part, _ = self._render_message(idx, message) - tokens.extend(ob_part) # Add observation part - tokens.extend(action_part) # Add action part - # Add generation prompt - new_partial_message = Message(role=role, content="") - ob_part, _, _ = self._render_message(len(messages), new_partial_message) - tokens.extend(ob_part) - tokens.extend(self.tokenizer.encode(prefill or "", add_special_tokens=False)) - return tinker.ModelInput.from_ints(tokens) - - def parse_response(self, response: list[int]) -> tuple[Message, bool]: - """Parse model output back to Message.""" - assistant_message, parse_success = parse_response_for_stop_token( - response, self.tokenizer, self._end_message_token - ) - if not parse_success: - return assistant_message, False - - # Parse tool calls from ... tags - match = re.search(r"(.*?)", assistant_message["content"], re.DOTALL) - if match: - tool_calls = self._parse_tool_call(match.group(1)) - if tool_calls is None: - return assistant_message, False - else: - assistant_message["tool_calls"] = tool_calls - return assistant_message, True - return assistant_message, True - - def _parse_tool_call(self, tool_call_str: str) -> list[ToolCall] | None: - """Parse tool call JSON.""" - try: - tool_call = json.loads(tool_call_str) - except json.JSONDecodeError: - return None - - if not isinstance(tool_call, dict): - return None - if ( - "name" not in tool_call - or "args" not in tool_call - or not isinstance(tool_call["name"], str) - or not isinstance(tool_call["args"], dict) - ): - return None - - return [ToolCall(**tool_call)] -``` - -**Key insights:** -- Renderer has THREE methods: `_render_message()`, `build_generation_prompt()`, `parse_response()` -- Tool calls are embedded as XML: `{"name": "search", "args": {...}}` -- Each message is split into: observation (prompt part) + action (completion part) + action_tail -- This allows separate training masks for supervised learning - -#### **2. Environment: The Multi-Turn Loop** (`search_env.py`) - -The SearchEnv shows how multi-turn actually works: - -```python -class SearchEnv(ProblemEnv): - def __init__( - self, - problem: str, - answer: list[str], - chroma_tool_client: ChromaToolClient, - renderer: renderers.Renderer, - max_num_calls: int = 4, - ): - self.problem = problem - self.answer = answer - self.chroma_tool_client = chroma_tool_client - self.renderer = renderer - self.past_messages: list[renderers.Message] = [] - self.current_num_calls = 0 - self.max_num_calls = max_num_calls - - async def initial_observation(self) -> tuple[Observation, StopCondition]: - """Start episode with user question.""" - convo = [ - {"role": "system", "content": SEARCH_TOOL_SYSTEM_PROMPT}, # Tool instructions - {"role": "user", "content": self.problem}, - ] - self.past_messages = convo.copy() - return self.renderer.build_generation_prompt(convo), self.stop_condition - - async def step(self, action: Action) -> StepResult: - """Execute one step: either tool call or final answer.""" - # Parse model output - message, parse_success = self.renderer.parse_response(action) - self.past_messages.append(message) - - # Check if tool call - if "tool_calls" in message: - if message["tool_calls"][0]["name"] == "search": - self.current_num_calls += 1 - - # Check max calls limit - if self.current_num_calls > self.max_num_calls: - return StepResult( - reward=0.0, - episode_done=True, - next_observation=tinker.ModelInput.empty(), - ) - - # Execute tool - try: - tool_return_message = await self.call_search_tool(message["tool_calls"][0]) - self.past_messages.extend(tool_return_message) # Add tool result - except Exception as e: - logger.error(f"Error calling search tool: {repr(e)}") - return StepResult(reward=0.0, episode_done=True, next_observation=tinker.ModelInput.empty()) - - # Continue episode with tool results - next_observation = self.renderer.build_generation_prompt(self.past_messages) - return StepResult( - reward=0.0, # Intermediate reward - episode_done=False, # Continue - next_observation=next_observation, - ) - else: - # Invalid tool name - return StepResult(reward=0.0, episode_done=True, next_observation=tinker.ModelInput.empty()) - else: - # Final answer (no tool call) - correct_format = float(parse_success) and float(self.check_format(message["content"])) - correct_answer = float(self.check_answer(message["content"])) - total_reward = self.format_coef * (correct_format - 1) + correct_answer - return StepResult( - reward=total_reward, # Final reward - episode_done=True, - next_observation=tinker.ModelInput.empty(), - metrics={ - "format": correct_format, - "correct": correct_answer, - }, - ) - - async def call_search_tool(self, tool_call: renderers.ToolCall) -> list[renderers.Message]: - """Execute search tool and return result message.""" - async with _CONNECTION_SEMAPHORE: - return await self.chroma_tool_client.invoke(tool_call) -``` - -**Key insights:** -- Environment maintains `self.past_messages` (full conversation history) -- `step()` returns different results based on tool call vs final answer -- Tool calls → `episode_done=False` (continue episode) -- Final answer → `episode_done=True` (end episode) -- Intermediate tool calls get `reward=0.0`, final answer gets scored - -#### **3. Rollout Loop** (`rollouts.py:16-34`) - -The actual rollout execution is SIMPLE: - -```python -async def do_single_rollout(policy: TokenCompleter, env: Env) -> Trajectory: - """Run one episode from start to finish.""" - transitions = [] - ob, stop_condition = await env.initial_observation() - - while True: - # 1. Generate action from policy - ac_with_logprobs = await policy(ob, stop_condition) - - # 2. Execute action in environment - step_result = await env.step(ac_with_logprobs.tokens) - - # 3. Store transition - transition = Transition( - ob=ob, - ac=ac_with_logprobs, - reward=step_result.reward, - episode_done=step_result.episode_done, - metrics=step_result.metrics, - ) - transitions.append(transition) - - # 4. Update observation - ob = step_result.next_observation - stop_condition = step_result.next_stop_condition - - # 5. Check if done - if step_result.episode_done: - break - - return Trajectory(transitions=transitions, final_ob=ob) -``` - -**Key insights:** -- Simple while loop: generate → step → store -- Environment (`env.step()`) handles ALL the complexity -- Policy is just a callable: `policy(observation) → action` -- Each step creates a Transition (observation, action, reward) - -#### **4. Training Integration** (`train.py`) - -How rollouts feed into training: - -```python -# From train.py:138-193 -async def train_step( - data_D: List[tinker.Datum], - training_client: tinker.TrainingClient, - learning_rate: float, - num_substeps: int, - loss_fn: Literal["importance_sampling", "ppo"], -) -> List[torch.Tensor]: - """Train the model on collected trajectories.""" - batches_md = split_list(data_D, min(num_substeps, len(data_D))) - training_logprobs_D: list[torch.Tensor] = [] - - for batch_d in batches_md: - training_logprobs = await forward_backward(training_client, batch_d, loss_fn) - training_logprobs_D.extend(training_logprobs) - await optim_step(training_client, learning_rate) - - return training_logprobs_D -``` - -**The full RL loop** (from `train.main()`): - -```python -while True: - # 1. Collect rollouts - traj_groups = [] - for _ in range(groups_per_batch): - traj_group = await do_group_rollout(env_group_builder, policy) - traj_groups.append(traj_group) - - # 2. Process trajectories → training data - advantages_G = compute_advantages(traj_groups) - data_D, metadata_D = assemble_training_data(traj_groups, advantages_G) - - # 3. Train on data - await train_step(data_D, training_client, learning_rate, num_substeps, loss_fn) - - # 4. Evaluate - if eval_every > 0 and step % eval_every == 0: - for evaluator in evaluators: - metrics = await evaluator.evaluate(sampling_client) -``` - -**Key insights:** -- Rollouts → Trajectories → Advantages → Training Data → Train -- Advantages computed from trajectory rewards (GAE or similar) -- Training data includes: model_input, targets, advantages (for loss weighting) -- Uses Tinker's TrainingClient (abstracts distributed training) - -#### **5. From Transitions to Training Examples** - -How multi-turn episodes become training examples: - -```python -# Each Transition has: -# - ob: tinker.ModelInput (the prompt) -# - ac: TokensWithLogprobs (the generated tokens) -# - reward: float -# - episode_done: bool - -# For multi-turn: -# Transition 1: ob=[system, user], ac=[search(...)], reward=0.0 -# Transition 2: ob=[system, user, assistant, tool], ac=[Answer: X], reward=1.0 - -# These become training examples: -# Example 1: input=[system, user], target=[search(...)], advantage=A1 -# Example 2: input=[system, user, assistant, tool], target=[Answer: X], advantage=A2 -``` - -**The advantage computation ensures:** -- Later steps (with actual rewards) get higher advantage -- Early steps (reward=0) get credit via bootstrapping -- Model learns the full multi-turn policy - ---- - -## Key Design Decisions - -1. **Text Parsing vs Native Tool Calling?** - BlackJack uses text parsing, Tinker uses tags. **Rec:** Start with text parsing (simpler). - -2. **Episode Granularity?** - BlackJack: One episode per step. Tinker: One episode for full conversation. **Rec:** One episode per step (matches GRPO). - -3. **Message History Management?** - BlackJack: Rebuilt in prompt. Tinker: Explicit list. **Rec:** Explicit list (clearer, easier to debug). - -4. **Reward Assignment?** - BlackJack: Final reward to all steps. Tinker: Sparse reward at end. **Rec:** Final reward to all steps (simpler for GRPO). - -5. **Environment Integration?** - BlackJack: Custom loop. Tinker: Environment manages flow. **Rec:** Custom loop (more control, matches BlackJack). - ---- - -## Example 3: VERL Multi-turn + Tool Calling (SGLang) - -**Location:** `/home/felipemello/forge/verl/` - -VERL provides a production-ready implementation of multi-turn tool calling with SGLang backend. This is highly relevant as a reference for Forge. - -### Architecture - -``` -Ray Trainer → SGLangRollout → SGLang Engine - ↓ -Agent Loop (State Machine) → Tool Execution - ↓ -AsyncRolloutRequest → Message History → Episodes -``` - -### Key Components - -**1. State Machine Pattern** - -```python -class AgentState(Enum): - PENDING = "pending" - GENERATING = "generating" - PROCESSING_TOOLS = "processing_tools" - INTERACTING = "interacting" - TERMINATED = "terminated" - -# Main loop -while state != AgentState.TERMINATED: - if state == AgentState.PENDING: - state = await _handle_pending_state(agent_data, sampling_params) - elif state == AgentState.GENERATING: - state = await _handle_generating_state(agent_data, sampling_params) - elif state == AgentState.PROCESSING_TOOLS: - state = await _handle_processing_tools_state(agent_data) - elif state == AgentState.INTERACTING: - state = await _handle_interacting_state(agent_data) -``` - -**2. Tool Definition (YAML Config)** - -```yaml -# gsm8k_tool_config.yaml -tools: - - class_name: "verl.tools.gsm8k_tool.Gsm8kTool" - config: - type: native - tool_schema: - type: "function" - function: - name: "calc_gsm8k_reward" - description: "Calculate reward for GSM8K answer" - parameters: - type: "object" - properties: - answer: - type: "string" - description: "The model's answer" - required: ["answer"] -``` - -**3. Tool Base Class** - -```python -class BaseTool: - async def create(self, instance_id: str = None, **kwargs) -> tuple[str, ToolResponse]: - """Create tool instance for a trajectory""" - return instance_id, ToolResponse() - - async def execute(self, instance_id: str, parameters: dict) -> tuple[ToolResponse, float, dict]: - """Execute tool, return (response, step_reward, metrics)""" - return ToolResponse(text="result"), 0.0, {} - - async def calc_reward(self, instance_id: str, **kwargs) -> float: - """Calculate final reward for this instance""" - return 0.0 - - async def release(self, instance_id: str, **kwargs) -> None: - """Cleanup tool instance""" - pass -``` - -**4. Multi-turn Rollout Flow** - -```python -async def _async_rollout_a_request(self, req: AsyncRolloutRequest, **kwargs): - current_turns = 0 - - while current_turns < max_assistant_turns: - # Generate model response - output = await self._engine.async_generate( - input_ids=req.get_generation_prompt_ids(tokenizer), - sampling_params=sampling_params, - return_logprob=True - ) - - # Parse response for tool calls - if self._function_call_parser.has_tool_call(output["text"]): - # Parse tool calls - _, tool_calls = self._function_call_parser.parse_non_stream(output["text"]) - - # Execute tools in parallel - tool_results = await asyncio.gather(*[ - self._tool_map[tc.name].execute(req.request_id, tc.arguments) - for tc in tool_calls - ]) - - # Add tool responses to message history - req.add_tool_response_messages(tokenizer, [resp for resp, _, _ in tool_results]) - - # Continue generation - current_turns += 1 - else: - # No tool call, terminate or continue with user interaction - break - - # Calculate final rewards from all tools - tool_rewards = await asyncio.gather(*[ - tool.calc_reward(req.request_id) for tool in tools_used - ]) - - req.finalize(tokenizer, tool_rewards, finish_reason) - return req -``` - -**5. Message History Management** - -```python -class AsyncRolloutRequest: - messages: list[Message] # Full conversation history - - def add_assistant_message(self, tokenizer, content: str, tool_calls=None): - msg = Message(role="assistant", content=content, tool_calls=tool_calls) - self.messages.append(msg) - # Update token IDs - new_ids = tokenizer.apply_chat_template([msg], add_generation_prompt=False) - self.response_ids = torch.cat([self.response_ids, new_ids]) - self.response_mask += [1] * len(new_ids) # LLM-generated tokens - - def add_tool_response_messages(self, tokenizer, tool_responses: list[ToolResponse]): - for tool_resp in tool_responses: - msg = Message(role="tool", content=tool_resp.text) - self.messages.append(msg) - # Tokenize tool response - new_ids = tokenizer.apply_chat_template([msg], add_generation_prompt=True) - self.prompt_ids = torch.cat([self.prompt_ids, new_ids]) - self.response_mask += [0] * len(new_ids) # Not LLM-generated -``` - -**6. Response Mask Pattern** - -```python -# For multi-turn with tools: -# responses: |<- LLM gen ->|<- tool_calls ->|<- LLM gen ->|<- padding ->| -# response_mask: | 1, 1, 1, 1 | 0, 0, 0, 0 | 1, 1, 1, 1 | 0, 0, 0, 0 | -# -# 1 = LLM-generated tokens (train on these) -# 0 = Tool results, padding (don't train on these) - -batch = { - "prompts": prompt_ids, # [batch, prompt_len] - "responses": response_ids, # [batch, response_len] - "response_mask": response_mask, # [batch, response_len] - key for multi-turn! - "input_ids": input_ids, # [batch, prompt_len + response_len] - "attention_mask": attention_mask, # [batch, prompt_len + response_len] - "position_ids": position_ids, # [batch, prompt_len + response_len] -} -``` - -**7. Configuration** - -```yaml -# Config file -multi_turn: - enable: True - max_assistant_turns: 5 - max_user_turns: 3 - max_parallel_calls: 5 - tool_config_path: "config/tool_config/gsm8k_tool_config.yaml" - format: "hermes" # or "gpt-oss" - max_tool_response_length: 2048 - tool_response_truncate_side: "left" -``` - -### Key Insights - -✅ **State machine is explicit**: Clear transition logic between PENDING → GENERATING → TOOL_CALLING → GENERATING -✅ **Tools are async**: Parallel execution with `asyncio.gather()` -✅ **Two-phase rewards**: Step rewards during execution + final reward at end -✅ **Response mask critical**: Distinguishes LLM tokens (train) from tool results (don't train) -✅ **Message history explicit**: Full OpenAI-style conversation in `messages` list -✅ **Tool lifecycle**: create() → execute() (multiple times) → calc_reward() → release() -✅ **Config-driven tools**: Tools loaded from YAML, making it easy to swap -✅ **SGLang integration**: Uses SGLang's native function calling parser - -### Response Mask Construction (Concatenated Episodes) - -**VERL uses Strategy B:** All turns concatenated into ONE Episode with response_mask - -**How mask is built during generation:** -```python -# From tool_agent_loop.py:1370-1470 - -# When LLM generates (GENERATING state): -agent_data.response_ids = output.token_ids -agent_data.prompt_ids += agent_data.response_ids # CONCATENATE -agent_data.response_mask += [1] * len(agent_data.response_ids) # TRAIN - -# When tool executes (PROCESSING_TOOLS state): -response_ids = tokenizer.apply_chat_template(tool_messages, ...) -agent_data.prompt_ids += response_ids # CONCATENATE -agent_data.response_mask += [0] * len(response_ids) # DON'T TRAIN -``` - -**Example multi-turn sequence:** -```python -# prompt_ids: [sys, user] + [llm_gen_1] + [tool_result_1] + [llm_gen_2] -# response_mask: [0, 0 ] + [1,1,1,1 ] + [0,0,0,0 ] + [1,1,1,1 ] -# -# 1 = Train on these (LLM output) -# 0 = Ignore these (prompts, tool results) -``` - -### Loss Computation with Response Mask - -**File:** `verl/trainer/ppo/core_algos.py:787-808` - -**How VERL applies the mask during training:** - -```python -def agg_loss(loss_mat: torch.Tensor, loss_mask: torch.Tensor, loss_agg_mode: str): - """ - Args: - loss_mat: (batch, seq_len) - per-token loss - loss_mask: (batch, seq_len) - 1=train, 0=ignore - """ - if loss_agg_mode == "token-mean": - # Average over all unmasked tokens - loss = masked_mean(loss_mat, loss_mask) - - elif loss_agg_mode == "seq-mean-token-mean": - # Average tokens per sequence, then average sequences - seq_token_count = torch.sum(loss_mask, dim=-1) # Count per seq - seq_losses = torch.sum(loss_mat * loss_mask, dim=-1) / (seq_token_count + 1e-8) - loss = seq_losses.mean() - - return loss -``` - -**Usage in policy loss:** -```python -# Compute per-token policy gradient loss -pg_losses = -advantages * log_prob # (batch, seq_len) - -# Apply mask and aggregate -pg_loss = agg_loss( - loss_mat=pg_losses, - loss_mask=response_mask, # Zeros out tool result tokens - loss_agg_mode="token-mean" -) -``` - -**Key mechanism:** -1. Element-wise multiplication: `loss_mat * loss_mask` zeros out masked tokens -2. Only unmasked tokens contribute to loss -3. Gradient flows only through LLM-generated tokens - ---- - -### VERL Deep Dive: Low-Level Implementation Details - -**NOW LET'S LOOK AT THE ACTUAL CODE** to understand how VERL really works under the hood. - -#### **State Machine Handlers** (`verl/experimental/agent_loop/tool_agent_loop.py:184-428`) - -The state machine handlers are where the magic happens. Here's the ACTUAL implementation: - -**1. PENDING → GENERATING: Prepare Prompt with Tools** - -```python -async def _handle_pending_state(self, agent_data: AgentData, sampling_params: dict) -> AgentState: - """Handle the pending state: prepare the prompt and start generation.""" - # Apply chat template with tools - if self.processor is not None: - # For multimodal models - raw_prompt = await self.loop.run_in_executor( - None, - lambda: self.processor.apply_chat_template( - agent_data.messages, - tools=self.tool_schemas, # <-- Tools passed here! - add_generation_prompt=True, - tokenize=False, - **self.apply_chat_template_kwargs, - ), - ) - model_inputs = self.processor(text=[raw_prompt], images=agent_data.image_data, return_tensors="pt") - agent_data.prompt_ids = model_inputs.pop("input_ids").squeeze(0).tolist() - else: - # For text-only models - agent_data.prompt_ids = await self.loop.run_in_executor( - None, - lambda: self.tokenizer.apply_chat_template( - agent_data.messages, - tools=self.tool_schemas, # <-- Tools passed to tokenizer - add_generation_prompt=True, - tokenize=True, - **self.apply_chat_template_kwargs, - ), - ) - return AgentState.GENERATING -``` - -**Key insight:** VERL uses the tokenizer/processor's `apply_chat_template()` with `tools=` parameter. The formatting happens inside the tokenizer (model-specific). - -**2. GENERATING: Call Model and Parse Tool Calls** - -```python -async def _handle_generating_state( - self, agent_data: AgentData, sampling_params: dict, ignore_termination: bool = False -) -> AgentState: - """Handle the generating state: generate model response and check for tool calls.""" - - # Generate using SGLang server - with simple_timer("generate_sequences", agent_data.metrics): - output = await self.server_manager.generate( - request_id=agent_data.request_id, - prompt_ids=agent_data.prompt_ids, - sampling_params=sampling_params, - image_data=agent_data.image_data, - ) - - # Track turn count - agent_data.assistant_turns += 1 - - # Accumulate response tokens - agent_data.response_ids = output.token_ids - agent_data.prompt_ids += agent_data.response_ids # <-- Concatenate! - agent_data.response_mask += [1] * len(agent_data.response_ids) # <-- Mark as LLM output - - if output.log_probs: - agent_data.response_logprobs += output.log_probs - - # Check termination conditions - if not ignore_termination and len(agent_data.response_mask) >= self.response_length: - return AgentState.TERMINATED - if self.max_assistant_turns and agent_data.assistant_turns >= self.max_assistant_turns: - return AgentState.TERMINATED - - # Extract tool calls using parser - _, agent_data.tool_calls = await self.tool_parser.extract_tool_calls(agent_data.response_ids) - - # Determine next state - if agent_data.tool_calls: - return AgentState.PROCESSING_TOOLS # <-- Has tool calls - elif self.interaction_config_file: - return AgentState.INTERACTING # <-- Need user input - else: - return AgentState.TERMINATED # <-- Done -``` - -**Key insights:** -- Response tokens are CONCATENATED to prompt_ids: `agent_data.prompt_ids += agent_data.response_ids` -- Response mask marks LLM output as `1` (train on these) -- Tool parser extracts tool calls from the generated token IDs - -**3. PROCESSING_TOOLS: Execute Tools in Parallel** - -```python -async def _handle_processing_tools_state(self, agent_data: AgentData) -> AgentState: - """Handle the processing tools state: execute tool calls and prepare tool responses.""" - add_messages: list[dict[str, Any]] = [] - new_images_this_turn: list[Any] = [] - - # Create tasks for parallel execution - tasks = [] - tool_call_names = [] - for tool_call in agent_data.tool_calls[: self.max_parallel_calls]: - tasks.append(self._call_tool(tool_call, agent_data.tools_kwargs)) - tool_call_names.append(tool_call.name) - - # Execute ALL tools in parallel - with simple_timer("tool_calls", agent_data.metrics): - responses = await asyncio.gather(*tasks) # <-- Parallel execution! - - # Process tool responses - for tool_response, tool_reward, _ in responses: - # Create message from tool response - if tool_response.image or tool_response.video: - # Multimodal content - content = [] - if tool_response.image: - content.append({"type": "image"}) - new_images_this_turn.append(tool_response.image) - if tool_response.text: - content.append({"type": "text", "text": tool_response.text}) - message = {"role": "tool", "content": content} - else: - # Text-only content - message = {"role": "tool", "content": tool_response.text or ""} - - add_messages.append(message) - - if tool_reward is not None: - agent_data.tool_rewards.append(tool_reward) - - agent_data.messages.extend(add_messages) - - # Tokenize tool responses - if self.processor is not None: - raw_tool_response = await self.loop.run_in_executor( - None, - lambda: self.processor.apply_chat_template( - add_messages, - add_generation_prompt=True, - tokenize=False, - **self.apply_chat_template_kwargs, - ), - ) - model_inputs = self.processor(text=[raw_tool_response], images=new_images_this_turn, return_tensors="pt") - response_ids = model_inputs.pop("input_ids").squeeze(0).tolist() - else: - response_ids = await self.loop.run_in_executor( - None, - lambda: self.tokenizer.apply_chat_template(add_messages, add_generation_prompt=True, tokenize=True), - ) - response_ids = response_ids[len(self.system_prompt) :] - - # Accumulate tool result tokens - agent_data.prompt_ids += response_ids - agent_data.response_mask += [0] * len(response_ids) # <-- Mark as NOT LLM output (don't train) - if agent_data.response_logprobs: - agent_data.response_logprobs += [0.0] * len(response_ids) - - agent_data.user_turns += 1 - return AgentState.GENERATING # <-- Continue generation -``` - -**Key insights:** -- Tools execute in parallel using `asyncio.gather(*tasks)` -- Tool results are tokenized and added to prompt_ids -- Response mask = `[0]` for tool results (DON'T train on these) -- After tools, loop back to GENERATING state - -**4. Tool Execution** (`_call_tool` method) - -```python -async def _call_tool( - self, tool_call: FunctionCall, tools_kwargs: dict[str, Any] -) -> tuple[ToolResponse, float, dict]: - """Call tool and return tool response.""" - tool, instance_id = None, None - try: - # Parse tool call - tool_name = tool_call.name - tool_args = json.loads(tool_call.arguments) - - # Get tool from map - tool = self.tools[tool_name] - kwargs = tools_kwargs.get(tool_name, {}) - - # Tool lifecycle: create → execute → release - instance_id, _ = await tool.create(create_kwargs=kwargs.get("create_kwargs", {})) - tool_execution_response, tool_reward, res = await tool.execute(instance_id, tool_args) - - except Exception as e: - logger.warning(f"Error when executing tool: {e}") - return ( - ToolResponse(text=f"Error when executing tool: {e}"), - 0.0, - {}, - ) - finally: - if tool and instance_id: - await tool.release(instance_id) - - # Truncate long responses - tool_response_text = tool_execution_response.text - if tool_response_text and len(tool_response_text) > self.max_tool_response_length: - if self.tool_response_truncate_side == "left": - tool_response_text = tool_response_text[: self.max_tool_response_length] + "...(truncated)" - elif self.tool_response_truncate_side == "right": - tool_response_text = "(truncated)..." + tool_response_text[-self.max_tool_response_length :] - else: - length = self.max_tool_response_length // 2 - tool_response_text = tool_response_text[:length] + "...(truncated)..." + tool_response_text[-length:] - - return ToolResponse(text=tool_response_text, image=tool_execution_response.image), tool_reward, res -``` - -**Key insights:** -- Tool lifecycle: `create()` → `execute()` → `release()` -- Tool responses can be truncated -- Each tool can return a reward -- Error handling with try/finally to ensure cleanup - -#### **Response Mask Pattern** - -The response mask is CRITICAL for multi-turn training: - -```python -# Example multi-turn sequence: -# prompt_ids: [system, user, ] + [llm_gen_1] + [tool_result_1] + [llm_gen_2] + ... -# response_mask: [ 0 , 0 ] + [ 1 ] + [ 0 ] + [ 1 ] + ... -# -# 1 = Train on these tokens (LLM output) -# 0 = Don't train on these (prompts, tool results) -``` - -In VERL, this is built incrementally: -- `agent_data.response_mask += [1] * len(agent_data.response_ids)` when LLM generates -- `agent_data.response_mask += [0] * len(response_ids)` when tool responds - -#### **Generator Integration** (How SGLang is called) - -The `server_manager.generate()` call abstracts the SGLang engine: - -```python -# From sglang_rollout.py: -output = await self.server_manager.generate( - request_id=agent_data.request_id, - prompt_ids=agent_data.prompt_ids, - sampling_params=sampling_params, - image_data=agent_data.image_data, -) -# Returns: output.token_ids, output.log_probs -``` - -This uses SGLang's async engine internally, which handles: -- Native function calling (if model supports it) -- Tool call parsing (using FunctionCallParser) -- Structured output - ---- - -## Example 4: NeMo-RL Async vLLM with Pipelined Tool Calling - -**Location:** `/home/felipemello/forge/RL/` - -NeMo-RL implements async vLLM engines with **sample-level concurrency** that enables pipelined tool calling. When one sample is waiting for a tool response, other samples continue generating without blocking. - -### Architecture - -``` -Async GRPO Loop → run_async_multi_turn_rollout() → Per-Sample Async Tasks - ↓ -Sample 1: [Turn 1 Gen] → [Tool Call] → [Waiting...] → [Turn 2 Gen] → ... -Sample 2: [Turn 1 Gen] → [Turn 2 Gen] → [Tool Call] → [Waiting...] → ... -Sample 3: [Turn 1 Gen] → [Done] - ↓ -All run concurrently via asyncio.gather() - ↓ -vLLM AsyncLLM Engine handles multiple in-flight requests -``` - -### Key Configuration - -**1. Enable Async vLLM Engine** (`grpo_math_1B.yaml:218`) -```yaml -policy: - generation: - backend: "vllm" - vllm_cfg: - async_engine: true # Enable async mode for pipelining - tensor_parallel_size: 1 - pipeline_parallel_size: 1 -``` - -**2. Worker Selection** (`vllm_generation.py:155-160`) -```python -if self.cfg["vllm_cfg"]["async_engine"]: - worker_cls = "nemo_rl.models.generation.vllm.vllm_worker_async.VllmAsyncGenerationWorker" -else: - worker_cls = "nemo_rl.models.generation.vllm.vllm_worker.VllmGenerationWorker" -``` - -### Sample-Level Concurrency Pattern - -**1. Top-level Async Rollout** (`rollouts.py:780-936`) -```python -def run_async_multi_turn_rollout( - policy_generation: GenerationInterface, - input_batch: BatchedDataDict[DatumSpec], - tokenizer: TokenizerType, - task_to_env: dict[str, EnvironmentInterface], - max_seq_len: int, - max_rollout_turns: int = 999999, - greedy: bool = False, -) -> tuple[BatchedDataDict[DatumSpec], dict[str, Any]]: - """Run multi-turn rollouts with sample-level processing. - - Each sample in the batch proceeds through its interaction independently. - Async generation is used internally when available. - """ - - async def _async_rollout_implementation(): - batch_size = len(input_batch["message_log"]) - - # Prepare initial states for each sample - sample_initial_states = [...] - - # Create tasks for all samples - sample_tasks = [ - run_single_sample_with_error_handling(i, sample_state) - for i, sample_state in enumerate(sample_initial_states) - ] - - # Execute ALL sample rollouts CONCURRENTLY - sample_results = await asyncio.gather(*sample_tasks, return_exceptions=False) - - return final_batch, rollout_metrics - - return asyncio.run(_async_rollout_implementation()) -``` - -**Key Insight**: Each sample gets its own async task that runs independently. This is the foundation of pipelining. - -**2. Per-Sample Multi-turn Loop** (`rollouts.py:611-777`) -```python -async def run_sample_multi_turn_rollout( - sample_idx: int, - initial_sample_state: dict, - policy_generation: GenerationInterface, - tokenizer: TokenizerType, - task_to_env: dict[str, EnvironmentInterface], - max_seq_len: int, - max_rollout_turns: int = 999999, - greedy: bool = False, -) -> tuple[dict, dict[str, Any]]: - """Run a multi-turn rollout for a single sample. - - This function manages the complete lifecycle of one sample's interaction. - """ - current_message_log = copy.deepcopy(initial_sample_state["message_log"]) - - for turn in range(max_rollout_turns): - if terminated or truncated: - break - - # 1. Generate response using async generation - ( - updated_message_log, - generated_tokens, - input_lengths, - gen_metrics, - ) = await async_generate_response_for_sample_turn( - policy_generation, - current_message_log, - current_stop_strings, - tokenizer, - max_seq_len, - greedy=greedy, - ) - current_message_log = updated_message_log - - # 2. Execute tool call in environment - sample_batch = BatchedDataDict[DatumSpec]({ - "message_log": [current_message_log], - "extra_env_info": [current_extra_env_info], - "task_name": [task_name], - }) - - env_output = calculate_rewards(sample_batch, task_to_env) - - # 3. Add environment response to message log - env_message = { - "role": env_output.observations[0]["role"], - "content": env_obs_content, - "token_ids": tokenized_obs, - } - current_message_log.append(env_message) - - # 4. Check termination and continue - terminated = env_output.terminateds[0].item() - - return final_sample_state, sample_metrics -``` - -**Key Insight**: While this sample is waiting for `calculate_rewards()` (tool execution), other samples continue their own `async_generate_response_for_sample_turn()` calls. - -**3. Async Generation Per Sample** (`rollouts.py:544-608`) -```python -async def async_generate_response_for_sample_turn( - policy_generation: GenerationInterface, - sample_message_log: list[dict], - sample_stop_strings: list[str] | None, - tokenizer: TokenizerType, - max_seq_len: int, - greedy: bool = False, -) -> tuple[list[dict], torch.Tensor, torch.Tensor, dict[str, float]]: - """Generate a response for a single sample's turn using async generation.""" - - # Convert single sample to batch format - batch_message_logs = [sample_message_log] - - # Generate response using async version - updated_batch, generated_ids, gen_metrics = await generate_responses_async( - policy_generation, - generation_input_data, - dummy_batch, - tokenizer, - input_lengths=input_lengths, - include_logprobs=True, - greedy=greedy, - ) - - return updated_message_log, generated_tokens, input_lengths, gen_metrics -``` - -**4. Async vLLM Generation** (`rollouts.py:120-222`) -```python -async def generate_responses_async( - policy_generation: GenerationInterface, - generation_input_data: BatchedDataDict[GenerationDatumSpec], - batch: BatchedDataDict[DatumSpec], - tokenizer: TokenizerType, - input_lengths: torch.Tensor, - include_logprobs: bool = True, - greedy: bool = False, -) -> tuple[BatchedDataDict[DatumSpec], list[torch.Tensor], dict[str, float | int]]: - """Async version of generate_responses that properly calls generate_async.""" - - # Check if this is vLLM with async_engine enabled - use_async_generation = ( - hasattr(policy_generation, "cfg") - and "vllm_cfg" in policy_generation.cfg - and policy_generation.cfg["vllm_cfg"]["async_engine"] - and hasattr(policy_generation, "generate_async") - ) - - assert use_async_generation, ( - "Async generation is not enabled. Please enable async generation by setting " - "async_engine=True in the vllm_cfg section of the policy config." - ) - - # Use async generation with per-sample streaming - collected_indexed_outputs: list[ - tuple[int, BatchedDataDict[GenerationOutputSpec]] - ] = [] - async for original_idx, single_item_output in policy_generation.generate_async( - generation_input_data, greedy=greedy - ): - collected_indexed_outputs.append((original_idx, single_item_output)) - - # Sort by original_idx to ensure order matches generation_input_data - collected_indexed_outputs.sort(key=lambda x: x[0]) - - # Extract in correct order - ordered_batched_data_dicts = [item for _, item in collected_indexed_outputs] - - generation_outputs = BatchedDataDict.from_batches( - ordered_batched_data_dicts, - pad_value_dict={"output_ids": tokenizer.pad_token_id, "logprobs": 0.0}, - ) - - # Append to message log - for i, (text, input_length, total_length) in enumerate( - zip(generated_texts, input_lengths, unpadded_sequence_lengths) - ): - assistant_message = { - "role": "assistant", - "content": text, - "token_ids": output_ids[i, input_length:total_length], - } - - if include_logprobs and "logprobs" in generation_outputs: - assistant_message["generation_logprobs"] = generation_outputs["logprobs"][ - i, input_length:total_length - ] - - batch["message_log"][i].append(assistant_message) - - # Track per-worker load balancing - if "gen_leader_worker_idx" in generation_outputs: - v = generation_outputs["gen_leader_worker_idx"][0] - gen_metrics["gen_leader_worker_idx"] = ( - int(v[0]) if isinstance(v, list) else int(v) - ) - - return batch, generated_ids, gen_metrics -``` - -### vLLM Async Engine Implementation - -**1. AsyncLLM Engine** (`vllm_worker_async.py:128-146`) -```python -def _create_engine(self, llm_kwargs: dict[str, Any]) -> None: - from vllm.v1.engine.async_llm import AsyncLLM - from vllm.engine.arg_utils import AsyncEngineArgs - - self.llm_async_engine_args = AsyncEngineArgs(**llm_kwargs) - self.llm = AsyncLLM.from_engine_args(self.llm_async_engine_args) - - # Optionally expose HTTP server for OpenAI-compatible API - if self.cfg["vllm_cfg"].get("expose_http_server"): - self.server_thread, self.base_url, self.http_server = ( - self._setup_vllm_server() - ) -``` - -**2. Async Generation with Per-Sample Yielding** (`vllm_worker_async.py:496-714`) -```python -async def generate_async( - self, - data: BatchedDataDict[GenerationDatumSpec], - greedy: bool = False, -) -> AsyncGenerator[tuple[int, BatchedDataDict[GenerationOutputSpec]], None]: - """Generate a batch of data using vLLM's AsyncLLMEngine, yielding results as they are ready. - - Yields: - Tuple of (original_index, BatchedDataDict for the single sequence) - """ - if not self.cfg["vllm_cfg"]["async_engine"]: - raise RuntimeError( - "generate_async can only be used when async_engine is enabled in vLLM config." - ) - - batch_size = input_ids_batch.shape[0] - - # Ensure generate_async only receives single samples - assert batch_size == 1, ( - f"generate_async is restricted to handle only single samples, " - f"but received batch_size={batch_size}." - ) - - async def process_single_sample(sample_idx): - """Process a single sample and return the result.""" - request_id = str(uuid.uuid4()) - - # Generate using vLLM async engine - vllm_request_generator = self.llm.generate( - prompt=prompt, - sampling_params=sampling_params_for_request, - request_id=request_id, - ) - - # Get the final result from the generator - final_request_output = None - async for req_output in vllm_request_generator: - final_request_output = req_output - - # Process the output - generation_details = final_request_output.outputs[0] - generated_token_ids = list(generation_details.token_ids) - - # Build result batch - result_batch = BatchedDataDict[GenerationOutputSpec]({ - "output_ids": output_ids_single_item_batched, - "logprobs": logprobs_single_item, - "generation_lengths": generation_lengths_tensor, - "unpadded_sequence_lengths": unpadded_sequence_lengths_tensor, - }) - - return (sample_idx, result_batch) - - # Create tasks for all samples and yield results as they complete - sample_tasks = [ - asyncio.create_task(process_single_sample(i)) for i in range(batch_size) - ] - - # Yield results as they become available (NOT in order!) - for completed_task in asyncio.as_completed(sample_tasks): - try: - result = await completed_task - yield result - except Exception as e: - # Cancel remaining tasks - for task in sample_tasks: - if not task.done(): - task.cancel() - await asyncio.gather(*sample_tasks, return_exceptions=True) - raise e -``` - -**Key Insight**: -- Uses `asyncio.as_completed()` to yield results as they finish -- This means faster samples don't wait for slower ones -- vLLM's async engine can handle multiple concurrent requests - -### How Tool Calling is Pipelined - -**Scenario: 4 samples in a batch, each doing multi-turn tool calling** - -``` -Time → - -Sample 1: [Gen T1]─────────┐ [Gen T2]──────────┐ - ↓ ↓ - [Tool Exec T1] [Tool Exec T2] - (blocking) (blocking) - -Sample 2: [Gen T1]─────────┐ [Gen T2]──────────┐ - ↓ ↓ - [Tool Exec T1] [Tool Exec T2] - -Sample 3: [Gen T1]─────────┐ [Gen T2]──[Done] - ↓ - [Tool Exec T1] - -Sample 4: [Gen T1]──[Done] - -vLLM AsyncLLM: [Req1]─[Req2]─[Req3]─[Req4]─[Req1.T2]─[Req2.T2]─[Req3.T2] - All in-flight simultaneously, results streamed as ready -``` - -**Why This Works:** -1. Each sample has its own `async def run_sample_multi_turn_rollout()` task -2. When Sample 1 calls a tool and blocks on `calculate_rewards()`, its task yields control -3. Sample 2, 3, 4 continue executing their own generations -4. vLLM's `AsyncLLM` engine maintains a queue of in-flight generation requests -5. As soon as one generation completes, the next request starts processing -6. No sample blocks any other sample - -### Comparison with Standard Batch Processing - -**Standard (Synchronous) Approach:** -``` -Batch of 4 samples → Generate all 4 → Wait for ALL to finish → Execute all 4 tools → Repeat -Problem: Slowest sample blocks the entire batch -``` - -**NeMo-RL Async Approach:** -``` -Sample 1: Gen → Tool → Gen → Tool → Done -Sample 2: Gen → Tool → Gen → Done -Sample 3: Gen → Done -Sample 4: Gen → Tool → Done - -All happening concurrently! -Problem solved: Fast samples don't wait for slow ones -``` - -### Key Insights for vLLM Usage - -✅ **Async engine is the foundation**: Must set `async_engine: true` in vLLM config - -✅ **Sample-level concurrency**: Use `asyncio.gather()` to run all samples concurrently - -✅ **vLLM handles the queue**: AsyncLLM engine manages multiple in-flight requests internally - -✅ **Non-blocking tool calls**: Tool execution happens outside vLLM, doesn't block generation - -✅ **Streaming results**: Use `async for` to stream results as they complete, not FIFO - -✅ **Per-worker load balancing**: Engine tracks which worker handled each request - -✅ **Message history tracking**: Each sample maintains its own message log independently - -✅ **Response ordering**: Results can arrive out-of-order, must track original indices - -### Message Log Structure (Concatenated Storage) - -**File:** `nemo_rl/experience/rollouts.py:94-100` - -**NeMo-RL stores token IDs in EACH message:** - -```python -# After generation: -assistant_message = { - "role": "assistant", - "content": generated_text, - "token_ids": output_ids[i, input_length:total_length], # Store IDs - "generation_logprobs": logprobs[i, input_length:total_length], # Store logprobs -} -batch["message_log"][i].append(assistant_message) - -# Full conversation example: -message_log = [ - { - "role": "user", - "content": "Task prompt", - "token_ids": [101, 102, 103, ...] - }, - { - "role": "assistant", - "content": "search(...)", - "token_ids": [345, 346, 347, ...], # LLM output - "generation_logprobs": [-0.1, -0.2, ...] - }, - { - "role": "tool", - "content": "Search results...", - "token_ids": [456, 457, 458, ...] # Tool result - }, - { - "role": "assistant", - "content": "Answer: ...", - "token_ids": [567, 568, 569, ...], # LLM output - "generation_logprobs": [-0.15, -0.18, ...] - }, -] -``` - -**Why this structure:** -- Enables later concatenation into single training sequence -- Preserves per-token logprobs for policy gradient -- Can build response_mask by checking message roles -- Each message is self-contained with all needed info - -**Building response_mask from message_log:** -```python -response_mask = [] -for msg in message_log: - token_len = len(msg["token_ids"]) - if msg["role"] == "assistant": - response_mask.extend([1] * token_len) # TRAIN - else: - response_mask.extend([0] * token_len) # IGNORE -``` - ---- - -### vLLM Async API Pattern - -**Key Pattern from NeMo-RL:** -```python -# 1. Create AsyncLLM engine -from vllm.v1.engine.async_llm import AsyncLLM -llm = AsyncLLM.from_engine_args(args) - -# 2. For each sample, submit async request -async def process_sample(sample): - request_id = str(uuid.uuid4()) - - # This returns an async generator - vllm_generator = llm.generate( - prompt=prompt, - sampling_params=sampling_params, - request_id=request_id, - ) - - # Stream results (or just get final) - final_output = None - async for output in vllm_generator: - final_output = output - - return final_output - -# 3. Run all samples concurrently -tasks = [asyncio.create_task(process_sample(s)) for s in samples] - -# 4. Yield results as they complete -for completed in asyncio.as_completed(tasks): - result = await completed - yield result -``` - -**What vLLM Does Internally:** -- Maintains a queue of active requests -- Schedules requests onto available GPU resources -- Streams tokens as they're generated -- Returns complete outputs when done -- Handles multiple concurrent requests without blocking - -### Configuration for Async Tool Calling - -**Minimal Config:** -```yaml -policy: - generation: - backend: "vllm" - vllm_cfg: - async_engine: true # Enable async mode - tensor_parallel_size: 1 - pipeline_parallel_size: 1 - gpu_memory_utilization: 0.6 - max_model_len: 2048 -``` - -**For Multi-turn with Tools:** -```yaml -grpo: - max_rollout_turns: 10 # Allow up to 10 turns per sample - -# Each sample can make multiple tool calls across turns -# All samples run concurrently without blocking each other -`` - -### Architecture Summary - -``` -┌─────────────────────────────────────────────────────────┐ -│ Async GRPO Training Loop │ -│ └─ run_async_multi_turn_rollout() │ -│ └─ asyncio.gather([ │ -│ run_sample_multi_turn_rollout(sample_1), │ -│ run_sample_multi_turn_rollout(sample_2), │ -│ run_sample_multi_turn_rollout(sample_3), │ -│ ... │ -│ ]) │ -└─────────────────────────────────────────────────────────┘ - ↓ -┌─────────────────────────────────────────────────────────┐ -│ Per-Sample Multi-turn Loop (runs independently) │ -│ for turn in range(max_turns): │ -│ 1. await async_generate_response_for_sample_turn() │ -│ └─ await generate_responses_async() │ -│ └─ async for idx, output in │ -│ policy_generation.generate_async() │ -│ 2. calculate_rewards() - Execute tool │ -│ 3. Add tool result to message log │ -│ 4. Continue if not done │ -└─────────────────────────────────────────────────────────┘ - ↓ -┌─────────────────────────────────────────────────────────┐ -│ vLLM AsyncLLM Engine (handles queue internally) │ -│ - Receives requests with unique request_id │ -│ - Maintains queue of in-flight requests │ -│ - Schedules onto available GPU resources │ -│ - Streams results as they complete (not FIFO) │ -│ - Multiple requests processed simultaneously │ -└─────────────────────────────────────────────────────────┘ -``` - -### Key Takeaways for Forge - -1. **Use async/await pattern**: Essential for non-blocking tool execution -2. **Sample-level tasks**: Each sample should be its own async task -3. **vLLM async engine**: Handles the queueing and scheduling internally -4. **Concurrent execution**: Use `asyncio.gather()` to run all samples together -5. **Independent message logs**: Each sample maintains its own conversation history -6. **Stream results**: Use `async for` to handle results as they arrive -7. **Tool calls don't block**: While one sample waits for tool response, others continue - -**Critical for Performance:** -- Setting `async_engine: true` enables the pipelining -- Each sample runs independently, so fast samples don't wait for slow ones -- vLLM's async engine manages the GPU efficiently -- Tool execution happens outside vLLM, doesn't block the generation queue - ---- - ---- - -## Example 5: PRIME-RL Wiki Search (Verifiers + vLLM Tool Calling) - -**Location:** `/home/felipemello/forge/prime-rl/` - -PRIME-RL is a production framework for async RL training that integrates with the `verifiers` environment library. The wiki-search example demonstrates multi-turn tool calling with native function calling support in vLLM. - -### Architecture - -``` -Orchestrator (Rollout Generation) - ↓ -vLLM Inference Server (Native Tool Calling) ← BLACK BOX - ↓ -Verifiers Environment (ToolEnv) ← BLACK BOX - ↓ -Trainer (LoRA Fine-tuning) -``` - -### Key Philosophy - -**Environment-Centric Design**: Unlike BlackJack/Tinker/VERL which implement rollout loops manually, PRIME-RL delegates multi-turn and tool calling to **external libraries** (`vLLM` for tool calling, `verifiers` for multi-turn loop). The framework just calls `env.generate()` and receives back complete rollouts. - -**IMPORTANT:** Much of the implementation is in external libraries (vLLM and verifiers) whose source isn't in this codebase, so we can only see the API boundaries. - -### Key Components - -**1. vLLM Configuration - Enabling Native Tool Calling** - -```toml -# examples/wiki_search/rl.toml -[inference.model] -enable_auto_tool_choice = true # vLLM flag - enables tool calling -tool_call_parser = "hermes" # Use Hermes format parser -``` - -**What this does (from prime-rl source):** -```python -# src/prime_rl/inference/config.py:79-91 -enable_auto_tool_choice: bool = False # Passed to vLLM as `--enable-auto-tool-choice` -tool_call_parser: str = "hermes" # Passed to vLLM as `--tool-call-parser` - -# src/prime_rl/inference/vllm/server.py:59-60 -if args.tool_parser_plugin and len(args.tool_parser_plugin) > 3: - ToolParserManager.import_tool_parser(args.tool_parser_plugin) -``` - -**What we DON'T know (vLLM internals):** -- Exactly how the hermes parser works -- How vLLM formats tools in prompts -- The exact format of parsed tool calls - -**What we DO know:** -- vLLM has built-in parsers for different tool formats -- "hermes" refers to Nous Hermes tool calling format -- These flags are just passed through to vLLM's engine - -**2. Multi-turn Rollout Flow (From Tinker-Cookbook Example)** - -The actual multi-turn logic is in the **verifiers library**. Here's how it's called: - -```python -# tinker-cookbook/recipes/verifiers_rl/train.py:108-147 - -async def run_one_rollout(): - # Hook to capture each generation step - recorded = [] - def hook(messages, model_input, tokens, logprobs): - recorded.append((list(messages), model_input, list(tokens), list(logprobs))) - - local_client = TinkerAsyncOpenAIClient(sampling_client, renderer, tokenizer) - local_client.set_generation_hook(hook) # Track each turn - - # THE KEY CALL - environment handles multi-turn loop - completion, state = await builder.vf_env.rollout( - client=local_client, # OpenAI-compatible client - model="tinker", - prompt=builder.prompt, # Initial user message - answer=builder.answer, - task=builder.task, - info=builder.info, - sampling_args={}, - ) - - # Score the final result - rs = await builder.vf_env.rubric.score_rollout( - prompt=builder.prompt, - completion=completion, - answer=builder.answer, - state=state, - task=builder.task, - info=builder.info, - ) - - # Build trajectory from recorded turns - transitions = [] - for _msgs, model_input, tokens, logprobs in recorded: - transitions.append(Transition( - ob=model_input, - ac=TokensWithLogprobs(tokens=tokens, maybe_logprobs=logprobs), - reward=0.0, - episode_done=False, - metrics={}, - )) - transitions[-1].reward = float(rs.reward) # Assign final reward - transitions[-1].episode_done = True -``` - -**What `vf_env.rollout()` does (we DON'T have the source):** -1. Calls `client.chat.completions.create()` in a loop -2. Parses model output for tool calls -3. Executes tools and adds results to conversation -4. Continues until task complete or max turns -5. Returns final completion + full state - -**What we DO see:** -- Environment calls the client multiple times (hook records each turn) -- Each turn captures: messages, prompt, tokens, logprobs -- Final reward is assigned after full episode -- All turns get reward=0 except the last - -**3. PRIME-RL's Simpler API** - -PRIME-RL doesn't even track individual turns - it just calls env.generate(): - -```python -# src/prime_rl/utils/vf.py:81-99 -async def generate_group( - client: AsyncOpenAI, - env: vf.Environment, - model_name: str, - problem: dict, - rollouts_per_example: int, - sampling_args: dict, -) -> vf.GenerateOutputs: - """Environment handles everything: multi-turn, tool calling, scoring.""" - semaphore = get_semaphore() - - return await env.generate( - inputs=Dataset.from_list([problem] * rollouts_per_example), - client=client, - model=model_name, - sampling_args=sampling_args, - semaphore=semaphore, - ) -``` - -**4. Processing Results - The ACTUAL Code (scheduler.py:71-86)** - -This is where PRIME-RL processes the completed rollouts: - -```python -def process_generate_outputs(self, generate_outputs: GenerateOutputs) -> list[Rollout]: - # Call verifiers processing function (masks tool results) - processed_outputs: ProcessedOutputs = self.env.process_env_results_vllm( - prompts=generate_outputs.prompt, - completions=generate_outputs.completion, - states=generate_outputs.state, - rewards=generate_outputs.reward, - processing_class=self.tokenizer, - max_seq_len=self.seq_len, - mask_env_responses=self.config.mask_env_responses, # KEY: Don't train on tool results - zero_truncated_completions=self.config.zero_truncated_completions, - mask_truncated_completions=self.config.mask_truncated_completions, - ) - - # Rest is standard RL processing - advantages = compute_advantages(...) - rollouts = make_rollouts(generate_outputs, processed_outputs, advantages, is_truncated) - self.buffer.update(rollouts) - accepted_rollouts = self.buffer.sample_rollouts(n=num_problems) - return accepted_rollouts -``` - -**What `mask_env_responses` does (from verifiers library):** -- Similar to VERL's `response_mask` concept -- Marks which tokens to train on vs ignore -- Tool results are masked out (set to ignore) -- Only LLM-generated tokens are trained on - -**5. Rollout Data Structure (utils/vf.py:136-148)** - -```python -class Rollout(TypedDict): - example_id: int - task: str - prompt_ids: list[int] - prompt_mask: list[int] # What to compute loss on in prompt - completion_ids: list[int] - completion_mask: list[int] # What to compute loss on in completion (masking applied here) - completion_logprobs: list[float] - reward: float - advantage: float - is_truncated: bool - metrics: dict[str, float] -``` - -### Verifiers Implementation Details (Now We Have The Source!) - -#### **The Multi-Turn Rollout Loop** (multiturn_env.py:55-149) - -```python -async def rollout(self, client: AsyncOpenAI, model: str, prompt: Messages, ...) -> tuple[Messages, State]: - """Generate a multi-turn rollout with the environment.""" - is_completed = False - state = await self.init_state(prompt, completion, answer, task, info, example_id) - - while not is_completed: - # Build context from prompt + completion so far - context_messages = await self.get_context_messages(state) - - if await self.is_completed(context_messages, state, **kwargs): - break - - # Call the LLM with tools - response = await self.get_model_response( - client, model, context_messages, - oai_tools=info.get("oai_tools", None), # <-- Tools passed here - sampling_args=sampling_args, - ) - state["responses"].append(response) - - # Extract assistant message + tool calls - response_message = {"role": "assistant", "content": response_text} - if response.choices[0].message.tool_calls: - response_message["tool_calls"] = [tc.model_dump() for tc in tool_calls] - state["completion"].append(response_message) - - state["turn"] += 1 - - # Check if done - if await self.is_completed(context_messages, state, **kwargs): - is_completed = True - else: - # Execute tools and get results - env_msgs, state = await self.env_response(context_messages, state, **kwargs) - state["completion"] += env_msgs # Add tool results to history - - return state["completion"], state -``` - -#### **Tool Execution** (tool_env.py:43-89) - -```python -class ToolEnv(MultiTurnEnv): - def __init__(self, tools: list[Callable], max_turns: int = 10, **kwargs): - # Convert Python functions to OpenAI tool schemas - self.oai_tools = [convert_func_to_oai_tool(tool) for tool in self.tools] - self.tool_map = {tool.__name__: tool for tool in self.tools} - super().__init__(oai_tools=self.oai_tools, max_turns=max_turns, **kwargs) - - async def is_completed(self, messages: Messages, state: State, **kwargs) -> bool: - """Episode ends when assistant responds without tool calls.""" - is_assistant_message = messages[-1]["role"] == "assistant" - no_tool_calls = "tool_calls" not in messages[-1] or messages[-1]["tool_calls"] is None - return await super().is_completed(...) or (is_assistant_message and no_tool_calls) - - async def env_response(self, messages: Messages, state: State, **kwargs) -> tuple[Messages, State]: - """Execute all tool calls from the last assistant message.""" - tool_messages = [] - for tool_call in messages[-1]["tool_calls"]: - tool_name = tool_call["function"]["name"] - tool_args = json.loads(tool_call["function"]["arguments"]) - tool_call_id = tool_call["id"] - - # Execute the tool - result = await self.tool_map[tool_name](**tool_args) - tool_messages.append({ - "role": "tool", - "content": str(result), - "tool_call_id": tool_call_id, - }) - return tool_messages, state -``` - -#### **Calling OpenAI API with Tools** (environment.py:285-296) - -```python -async def get_model_response(self, client: AsyncOpenAI, model: str, prompt: Messages, - oai_tools: list[ChatCompletionToolParam] | None = None, ...) -> ModelResponse: - if oai_tools: - response = await client.chat.completions.create( - model=model, - messages=prompt, - tools=oai_tools, # <-- Tool schemas passed to OpenAI API - **sampling_args, - ) - else: - response = await client.chat.completions.create( - model=model, messages=prompt, **sampling_args - ) - return response -``` - -#### **Example: Defining Tools** (wiki_search.py:99-128) - -```python -# Just write normal Python functions with type hints and docstrings! -async def search_pages(query: str) -> list[dict]: - """Search for top 10 relevant articles using title embedding similarity. - - args: - query (str): The query to search for. - """ - results = await collection.query(query_texts=[query], n_results=10) - return [{"page_id": results["ids"][0][i], "title": results["metadatas"][0][i]["title"]} - for i in range(len(results["ids"][0]))] - -# Create environment -env = vf.ToolEnv( - dataset=dataset, - rubric=rubric, - tools=[search_pages, view_sections, read_section], # <-- Just pass functions! - max_turns=10, -) -``` - -**How tool conversion works:** -- Parses type hints: `query: str` → `{"type": "string"}` -- Uses docstring for description -- Generates OpenAI tool schema automatically - -#### **Complete Flow** - -``` -1. ToolEnv.__init__(tools=[search_pages, ...]) - └─ convert to OpenAI schemas → store in self.oai_tools - -2. rollout() loop starts: - ├─ Turn 1: User asks "Find info on AI" - │ ├─ get_model_response(messages=[user msg], tools=oai_tools) - │ │ └─ client.chat.completions.create(messages=[...], tools=[...]) # vLLM formats tools in prompt - │ ├─ Response: assistant calls search_pages(query="AI") - │ ├─ is_completed()? No (has tool_calls) - │ ├─ env_response(): - │ │ ├─ Parse tool_call: {function: {name: "search_pages", arguments: "{\"query\":\"AI\"}"}} - │ │ ├─ Execute: result = await search_pages(query="AI") - │ │ └─ Return: [{"role": "tool", "content": "[page1, page2,...]", "tool_call_id": "123"}] - │ └─ Append tool result to completion - │ - ├─ Turn 2: Context now includes user + assistant tool call + tool result - │ ├─ get_model_response(messages=[user, assistant, tool, ...], tools=oai_tools) - │ ├─ Response: assistant provides answer (no tool_calls) - │ ├─ is_completed()? YES (no tool_calls) - │ └─ Exit loop - │ - └─ Return (completion, state) -``` - -**📊 Updated Comparison:** - -| Component | BlackJack | Tinker | VERL | Verifiers/PRIME-RL | -|-----------|-----------|--------|------|----------| -| Rollout loop | ✅ Visible | ✅ Visible | ✅ Visible | ✅ **NOW VISIBLE** | -| Tool calling | N/A | ✅ Visible | ✅ Visible | ✅ **NOW VISIBLE** | -| Tool execution | N/A | ✅ Visible | ✅ Visible | ✅ **NOW VISIBLE** | -| Prompt formatting | ✅ Visible | ✅ Visible | ✅ Visible | ❌ In vLLM server | -| Response masking | N/A | N/A | ✅ Visible | ✅ Visible | - -**What's STILL in vLLM (black box):** -- How tools are formatted in the prompt (model-specific) -- How tool calls are parsed from model output (hermes/mistral/llama format) -- The actual "hermes" parser implementation - -### Key Insights - -✅ **Clean multi-turn loop**: Simple while loop with `is_completed()` check - -✅ **Tool execution is straightforward**: Parse tool_calls → execute function → return result - -✅ **OpenAI API compatibility**: Just pass `tools` parameter to `client.chat.completions.create()` - -✅ **vLLM handles formatting**: Server formats tools in prompt based on model - -✅ **Episode termination**: Ends when assistant doesn't request tools - -✅ **Response masking**: Verifiers has `process_env_results_vllm()` to mask tool results - -✅ **Simple tool definition**: Just write Python functions with type hints! - -### Response Masking for Multi-Turn - -**File:** `verifiers/utils/processing_utils.py:72-151` - -**How Verifiers builds mask by processing chat turns:** - -```python -def process_chat_format_vllm( - prompt: list[ChatMessage], - completion: list[ChatMessage], - state: State, - processing_class: TokenizerBase, - mask_env_responses: bool = False, # KEY FLAG -): - completion_ids = [] - completion_mask = [] - - for message in completion: - if message["role"] == "assistant": - # LLM output - get tokens from vLLM response - tokens = parse_chat_completion_tokens(response) - logprobs = parse_chat_completion_logprobs(response) - - completion_ids.extend(tokens) - completion_mask.extend([1] * len(tokens)) # TRAIN on assistant - - elif message["role"] in ["user", "tool"]: - # Environment/tool response - tokens = tokenizer.apply_chat_template( - conversation=messages_consumed + [message], - add_generation_prompt=True, - tools=oai_tools - ) - - completion_ids.extend(tokens) - - if mask_env_responses: - completion_mask.extend([0] * len(tokens)) # MASK for RL - else: - completion_mask.extend([1] * len(tokens)) # TRAIN for SFT - - return prompt_ids, prompt_mask, completion_ids, completion_mask, completion_logprobs -``` - -**Key points:** -- **RL training:** `mask_env_responses=True` → tool results get `mask=0` -- **SFT training:** `mask_env_responses=False` → train on everything -- Mask is built incrementally as conversation progresses -- Returned to PRIME-RL scheduler for training - -**Used by PRIME-RL:** -```python -# From prime_rl scheduler.py:71-86 -processed_outputs = env.process_env_results_vllm( - prompts=generate_outputs.prompt, - completions=generate_outputs.completion, - states=generate_outputs.state, - rewards=generate_outputs.reward, - processing_class=tokenizer, - mask_env_responses=self.config.mask_env_responses, # TRUE for RL -) -``` - ---- - -### For Forge: What's Actionable Now - -**1. You CAN implement the multi-turn loop yourself (it's simple!):** -```python -# Based on verifiers multiturn_env.py -async def play_task(env, generator, task_prompt): - messages = [{"role": "user", "content": task_prompt}] - done = False - turn = 0 - - while not done and turn < MAX_TURNS: - # Call LLM with tools - response = await generator.sample( - messages=messages, - tools=env.get_tools(), # OpenAI tool schemas - ) - - # Add assistant message - assistant_msg = {"role": "assistant", "content": response.text} - if response.tool_calls: - assistant_msg["tool_calls"] = response.tool_calls - messages.append(assistant_msg) - - # Check if done - if not response.tool_calls: - done = True - else: - # Execute tools - for tool_call in response.tool_calls: - result = await env.execute_tool( - tool_call["function"]["name"], - json.loads(tool_call["function"]["arguments"]) - ) - messages.append({ - "role": "tool", - "content": str(result), - "tool_call_id": tool_call["id"], - }) - - turn += 1 - - return messages -``` - -**2. You CAN use vLLM's native tool calling:** -```python -# In your Generator vLLM config: -vllm_config = { - "enable_auto_tool_choice": True, - "tool_call_parser": "hermes", # or "mistral", "llama" -} -``` - -**3. You SHOULD implement response masking:** -```python -# Like VERL and verifiers: -# Track which tokens are LLM output vs tool results -response_mask = [1] * len(llm_tokens) + [0] * len(tool_result_tokens) -``` - -**4. You CAN define tools like verifiers:** -```python -def search_wiki(query: str) -> list[str]: - """Search Wikipedia for relevant articles. - - Args: - query: The search query string. - - Returns: - List of article titles matching the query. - """ - return wikipedia.search(query) - -# Convert to OpenAI schema -tool_schema = convert_func_to_oai_tool(search_wiki) -# Use verifiers' utility or implement yourself (parse type hints + docstring) -``` - -**5. Consider integrating verifiers:** -- **Pros**: Clean API, tool support, community environments, masking built-in -- **Cons**: Another dependency, less control over rollout loop -- **Middle ground**: Use verifiers' tool utilities (`convert_func_to_oai_tool`) but implement your own rollout loop - -### Comparison: All Five Examples - -| Aspect | BlackJack | Tinker | VERL | PRIME-RL | **Verifiers** | -|--------|-----------|--------|------|----------|-----------| -| **Rollout Loop** | Manual | Env step | State machine | Delegates | **Simple while loop** | -| **Tool Calling** | No tools | Tag-based | Native + manual | vLLM native | **OpenAI native** | -| **Tool Definition** | N/A | Functions | Functions | Functions | **Type-hinted funcs** | -| **Tool Execution** | N/A | Manual async | Manual async | In env | **tool_map lookup** | -| **Prompt Formatting** | Manual | Renderer | Manual | vLLM | **vLLM** | -| **Response Masking** | No | No | Explicit | Flag | **process_env_results** | -| **Abstraction Level** | Low | Medium | Medium | High | **Medium-High** | - -**Verifiers' Sweet Spot:** -- Higher level than BlackJack/VERL (clean API, tool utilities) -- Lower level than fully delegated PRIME-RL (rollout loop is visible) -- Practical tool definition (just type-hinted functions) -- Production-ready (used by PRIME-RL, Tinker, others) - ---- - -## Performance & Async Patterns: Complete Library Comparison - -### Overview: Async Execution Across All Libraries - -| Library | Async Support | vLLM Flags | Concurrency Pattern | Key Efficiency Features | -|---------|--------------|------------|---------------------|------------------------| -| **BlackJack (Forge)** | ✅ Partial | None | `asyncio` coroutines | Async env.step(), but sequential episodes | -| **Tinker-Cookbook** | ✅ Partial | None | `asyncio` coroutines | Async tool execution, sequential rollouts | -| **VERL** | ✅ Full | SGLang (not vLLM) | `asyncio.gather()` for parallel tools | Parallel tool execution, state machine | -| **NeMo-RL** | ✅ **Full Pipeline** | **`async_engine: true`** | **Per-sample async tasks** | **Sample-level pipelining, non-blocking tools** | -| **PRIME-RL/Verifiers** | ✅ Full | **`enable_auto_tool_choice: true`**
**`tool_call_parser: "hermes"`** | `asyncio.gather()` | Native vLLM tool parsing, async tools | -| **TRL** | ❌ None | External server | Blocking HTTP | Simple but slower, no pipelining | - ---- - -### Library-by-Library Async Details - -#### **1. BlackJack (Forge OpenEnv) - Basic Async** - -**Async Pattern:** -```python -# File: OpenEnv/examples/grpo_blackjack/grpo_utils.py:197-244 -async def play_game(game_idx, game_id, server_url, policy, tokenizer, game_log): - # Async generation - responses = await policy.generate.route(prompt) # ✅ Non-blocking - - # Async environment step - result = env.step(OpenSpielAction(action_id=action_id)) # ✅ Non-blocking -``` - -**Concurrency Level:** Sequential episodes -- Episodes run one-at-a-time within a batch -- Each episode's steps are async, but episodes don't overlap - -**vLLM Configuration:** None (uses Forge Generator defaults) - -**Performance:** -- ✅ Non-blocking I/O for env -- ❌ No sample-level pipelining -- ❌ No parallel tool execution - -**Best for:** Simple prototyping, full control over loop - ---- - -#### **2. Tinker-Cookbook - Async Tools, Sequential Rollouts** - -**Async Pattern:** -```python -# File: tinker_cookbook/rl/rollouts.py:16-34 -async def do_single_rollout(policy: TokenCompleter, env: Env) -> Trajectory: - while True: - # Async generation - ac_with_logprobs = await policy(ob, stop_condition) # ✅ Non-blocking - - # Async environment step (includes tool execution) - step_result = await env.step(ac_with_logprobs.tokens) # ✅ Non-blocking - - if step_result.episode_done: - break -``` - -**Tool Execution:** -```python -# File: tinker_cookbook/recipes/tool_use/search/search_env.py:789-791 -async def call_search_tool(self, tool_call): - async with _CONNECTION_SEMAPHORE: # Rate limiting - return await self.chroma_tool_client.invoke(tool_call) # ✅ Async tool -``` - -**Concurrency Level:** Sequential rollouts -- Rollouts collected one-by-one -- Tools execute async but don't pipeline with generation - -**vLLM Configuration:** None (uses Tinker's TrainingClient) - -**Performance:** -- ✅ Async tool execution with rate limiting -- ✅ Non-blocking I/O -- ❌ No parallel rollouts -- ❌ No generation pipelining - -**Best for:** Research, clean abstractions, moderate scale - ---- - -#### **3. VERL - Full Async with Parallel Tools** - -**Async Pattern:** -```python -# File: verl/experimental/agent_loop/tool_agent_loop.py:1368-1370 -async def _handle_processing_tools_state(self, agent_data: AgentData): - # Create parallel tool tasks - tasks = [self._call_tool(tc, agent_data.tools_kwargs) for tc in agent_data.tool_calls] - - # Execute ALL tools in parallel - responses = await asyncio.gather(*tasks) # ✅ Parallel execution! -``` - -**Generation:** -```python -# File: verl/experimental/agent_loop/tool_agent_loop.py:1311-1317 -async def _handle_generating_state(self, agent_data, sampling_params): - # Async generation via SGLang - output = await self.server_manager.generate( - request_id=agent_data.request_id, - prompt_ids=agent_data.prompt_ids, - sampling_params=sampling_params, - ) # ✅ Non-blocking -``` - -**Concurrency Level:** Parallel tools, sequential episodes -- Multiple tools execute concurrently -- Episodes still run sequentially - -**vLLM Configuration:** Uses SGLang, not vLLM -- SGLang has its own async engine -- No vLLM-specific flags - -**Performance:** -- ✅ Parallel tool execution within episode -- ✅ State machine for clean control flow -- ✅ Non-blocking generation -- ❌ No sample-level pipelining -- ❌ Episodes don't overlap - -**Best for:** Complex tool workflows, production systems - ---- - -#### **4. NeMo-RL - Full Pipelining (BEST PERFORMANCE)** - -**vLLM Async Configuration:** -```yaml -# File: RL/examples/grpo_math_1B.yaml:218 -policy: - generation: - backend: "vllm" - vllm_cfg: - async_engine: true # ✅ CRITICAL FLAG - enables AsyncLLM - tensor_parallel_size: 1 - pipeline_parallel_size: 1 -``` - -**Per-Sample Async Pattern:** -```python -# File: RL/nemo_rl/experience/rollouts.py:780-936 -async def run_async_multi_turn_rollout(...): - # Create one async task PER SAMPLE - sample_tasks = [ - run_single_sample_with_error_handling(i, sample_state) - for i, sample_state in enumerate(sample_initial_states) - ] - - # ALL samples run concurrently! - sample_results = await asyncio.gather(*sample_tasks) # ✅ Full pipelining -``` - -**Per-Sample Loop:** -```python -# File: RL/nemo_rl/experience/rollouts.py:611-777 -async def run_sample_multi_turn_rollout(sample_idx, ...): - for turn in range(max_rollout_turns): - # Async generation (doesn't block other samples) - response = await async_generate_response_for_sample_turn(...) # ✅ - - # Execute tool (while this blocks, other samples continue!) - env_output = calculate_rewards(sample_batch, task_to_env) # Other samples proceed -``` - -**vLLM AsyncLLM Engine:** -```python -# File: RL/nemo_rl/models/generation/vllm/vllm_worker_async.py:128-146 -def _create_engine(self, llm_kwargs): - from vllm.v1.engine.async_llm import AsyncLLM - self.llm = AsyncLLM.from_engine_args(self.llm_async_engine_args) # ✅ Async engine - -# File: RL/nemo_rl/models/generation/vllm/vllm_worker_async.py:1830-1840 -async def generate_async(self, data, greedy=False): - # Submit to vLLM async engine - vllm_generator = self.llm.generate( - prompt=prompt, - sampling_params=sampling_params, - request_id=request_id, - ) # ✅ Returns immediately, vLLM queues request - - # Stream results - async for req_output in vllm_generator: - final_output = req_output -``` - -**Concurrency Level:** **Per-sample pipelining** (HIGHEST) -- Each sample is independent async task -- While Sample 1 waits for tool, Samples 2/3/4 generate -- vLLM queues all requests internally - -**Performance:** -- ✅ **Sample-level pipelining** (unique feature!) -- ✅ Non-blocking generation queue -- ✅ Fast samples don't wait for slow ones -- ✅ Maximum GPU utilization - -**Speedup Example:** -``` -Without pipelining (4 samples, 2 turns each, 10s per turn): -Sample 1: Turn 1 (10s) → Tool (5s) → Turn 2 (10s) = 25s -Sample 2: Turn 1 (10s) → Tool (5s) → Turn 2 (10s) = 25s -Sample 3: Turn 1 (10s) → Done = 10s -Sample 4: Turn 1 (10s) → Done = 10s -Total: 70s (sequential) - -With NeMo-RL pipelining: -All samples overlap, max time ≈ 25s (longest sample) -Speedup: ~2.8x -``` - -**Best for:** Production RL at scale, maximum throughput - ---- - -#### **5. PRIME-RL/Verifiers - Native vLLM Tool Calling** - -**vLLM Tool Calling Configuration:** -```toml -# File: prime-rl/examples/wiki_search/rl.toml -[inference.model] -enable_auto_tool_choice = true # ✅ vLLM native tool calling -tool_call_parser = "hermes" # ✅ Use Hermes format parser -``` - -**What these flags do:** -- `enable_auto_tool_choice`: vLLM parses tool calls from model output automatically -- `tool_call_parser`: Specifies format (hermes/mistral/llama/internlm) -- vLLM handles prompt formatting with tools - -**Async Pattern:** -```python -# File: verifiers/environment.py:55-149 -async def rollout(self, client, model, prompt, ...): - while not is_completed: - # Async generation via OpenAI-compatible client - response = await self.get_model_response( - client, model, context_messages, - oai_tools=info.get("oai_tools", None), # ✅ Tools passed to vLLM - ) # ✅ Non-blocking - - # Async tool execution - env_msgs, state = await self.env_response(context_messages, state) # ✅ Async -``` - -**Tool Execution:** -```python -# File: verifiers/tool_env.py:43-89 -async def env_response(self, messages, state, **kwargs): - tool_messages = [] - for tool_call in messages[-1]["tool_calls"]: - # Execute tool (async) - result = await self.tool_map[tool_name](**tool_args) # ✅ Async - tool_messages.append({...}) - return tool_messages, state -``` - -**Concurrency Level:** Sequential rollouts, async tools -- Rollouts run one-at-a-time -- Tools can be async within episode - -**Performance:** -- ✅ vLLM native tool parsing (no manual regex) -- ✅ Async tool execution -- ✅ Clean OpenAI-compatible API -- ❌ No sample pipelining -- ❌ PRIME-RL delegates to verifiers (black box) - -**Best for:** Standard tool calling tasks, clean abstractions - ---- - -#### **6. TRL - Synchronous (Simple but Slow)** - -**Pattern:** -```python -# File: trl/examples/scripts/openenv/catch.py:162-215 -def rollout_func(prompts, args, processing_class, client, gen_url): - for prompt in prompts: - for _ in range(args.num_generations): - while not obs.done: - # Blocking HTTP request to vLLM server - response = requests.post(gen_url, json=payload) # ❌ BLOCKING - response.raise_for_status() - result = response.json() - - # Blocking environment step - env_result = client.step(action) # ❌ BLOCKING -``` - -**Concurrency Level:** None (fully synchronous) - -**vLLM Configuration:** External HTTP server -- TRL doesn't configure vLLM directly -- Uses separate vLLM server process -- No async flags - -**Performance:** -- ❌ Blocking HTTP calls -- ❌ No pipelining -- ❌ Sequential processing -- ✅ Simple to understand and debug - -**Best for:** Prototyping, education, debugging - ---- - -### Key Performance Insights - -**1. vLLM Async Engine is Critical for Pipelining** -- Only NeMo-RL uses `async_engine: true` -- This enables `AsyncLLM` class in vLLM -- Without it, generation blocks even with async/await - -**2. Sample-Level Pipelining is Unique to NeMo-RL** -- Most libraries: episodes run sequentially -- NeMo-RL: each sample is independent task -- Massive speedup when samples have variable length - -**3. Tool Execution Async ≠ Generation Async** -- Tinker, VERL: async tools but sequential rollouts -- NeMo-RL: both tools AND generation are pipelined -- Big difference in throughput - -**4. vLLM Native Tool Calling Reduces Overhead** -- PRIME-RL: `enable_auto_tool_choice` → vLLM parses tools -- Others: manual regex/tag parsing -- Native parsing is faster and more reliable - -**5. Async/Await Alone Doesn't Pipeline** -- BlackJack/Tinker: async/await but sequential episodes -- Need `asyncio.gather()` with independent tasks -- NeMo-RL does this at sample level - ---- - -### Recommendations for Forge - -**For Maximum Performance:** -1. Enable vLLM async: `async_engine: true` (NeMo-RL pattern) -2. Per-sample async tasks: `asyncio.gather([play_task(s) for s in samples])` -3. Native tool calling: `enable_auto_tool_choice: true` (if using vLLM server) - -**For Simplicity:** -1. Start with TRL pattern (synchronous) -2. Add async/await for tools (Tinker pattern) -3. Optimize later if bottlenecked - -**For Production:** -1. Use NeMo-RL async patterns -2. Add PRIME-RL's vLLM tool calling flags -3. Implement VERL's parallel tool execution - ---- - -## Example 6: TRL GRPO with OpenEnv (Low-Level Implementation) - -**Location:** `/home/felipemello/forge/trl/examples/scripts/openenv/` - -TRL implements multi-turn rollouts for GRPO using the **`rollout_func` pattern**. This is an experimental hook that allows custom generation logic to replace TRL's default single-turn generation. - -### Key Insight: TRL GRPO is Single-Turn by Default - -**CRITICAL:** TRL's `GRPOTrainer` does NOT have built-in multi-turn support. The core trainer (`trl/trainer/grpo_trainer.py`) implements only: -1. Single prompt → single completion -2. Score with reward function -3. Train - -For multi-turn, you MUST use the `rollout_func` parameter. - -### Architecture - -``` -TRL GRPO Trainer - ↓ -Custom rollout_func (USER PROVIDED) - ↓ -vLLM Server (HTTP) → Multi-turn Loop → OpenEnv Client (HTTP) - ↓ -Returns: prompt_ids, completion_ids, logprobs (concatenated across ALL turns) - ↓ -GRPO treats entire episode as ONE sequence for training -``` - -### The `rollout_func` Signature - -```python -# From trl/trainer/grpo_trainer.py:113 -RolloutFunc = Callable[[list[str], Any, Any], dict[str, Any]] - -# Signature: -def rollout_func( - prompts: list[str], # Batch of prompts from dataset - args: GRPOConfig, # Training config (temperature, max_tokens, etc.) - processing_class: Tokenizer, # Tokenizer for encoding/decoding -) -> dict[str, Any]: - # Must return: - return { - "prompt_ids": list[list[int]], # Token IDs of prompts (per-episode) - "completion_ids": list[list[int]], # Token IDs of completions (per-episode) - "logprobs": list[list[float]], # Log probs (per-token, per-episode) - # Optional: any extra fields for reward functions - "custom_reward": list[float], - ... - } -``` - -### Example 1: Catch Game (Multi-Turn Episode Loop) - -**File:** `trl/examples/scripts/openenv/catch.py:162-215` - -This example shows the CORE pattern for multi-turn with TRL: - -```python -def rollout_func( - prompts: list[str], - args: GRPOConfig, - processing_class, - client: OpenSpielEnv, # Injected via lambda - gen_url: str, # Injected via lambda -) -> dict[str, list]: - """Generate completions via vLLM and compute environment rewards.""" - env_rewards = [] - all_prompt_ids, all_completion_ids, all_logprobs = [], [], [] - - # OUTER LOOP: Process each prompt from the dataset - for base_prompt in prompts: - # MIDDLE LOOP: Generate G rollouts per prompt (for GRPO group) - for _ in range(args.num_generations): - env_result = client.reset() - obs = env_result.observation - total_reward = 0.0 - - # Storage for THIS episode's tokens (across ALL turns) - episode_prompt_ids, episode_completion_ids, episode_logprobs = [], [], [] - - # INNER LOOP: Multi-turn episode loop - while not obs.done: - # 1. Build prompt from current observation - episode_msg = { - "prompt": [{ - "role": "user", - "content": f"{base_prompt}\n\n{obs.info_state}\n" - }] - } - episode_prompt = apply_chat_template(episode_msg, processing_class) - - # 2. Generate via vLLM server (HTTP request) - payload = { - "prompts": [episode_prompt["prompt"]], - "n": 1, - "temperature": args.temperature, - "top_p": args.top_p, - "max_tokens": args.max_completion_length, - } - response = requests.post(gen_url, json=payload) - response.raise_for_status() - result = response.json() - - # 3. CRITICAL: Accumulate token IDs across turns - # This makes the entire episode ONE sequence for training - episode_prompt_ids.extend(result["prompt_ids"][0]) - episode_completion_ids.extend(result["completion_ids"][0]) - episode_logprobs.extend(result["logprobs"][0]) - - # 4. Parse action from completion text - completion_text = processing_class.batch_decode( - result["completion_ids"], - skip_special_tokens=True - )[0] - numbers = re.findall(r"\b([0-2])\b", completion_text) - action_id = int(numbers[0]) if numbers else obs.legal_actions[0] - - # 5. Step environment - env_result = client.step(OpenSpielAction(action_id=action_id, game_name="catch")) - total_reward += env_result.reward or 0.0 - obs = env_result.observation - - # Store the ENTIRE episode as ONE rollout - env_rewards.append(total_reward) - all_prompt_ids.append(episode_prompt_ids) - all_completion_ids.append(episode_completion_ids) - all_logprobs.append(episode_logprobs) - - return { - "prompt_ids": all_prompt_ids, - "completion_ids": all_completion_ids, - "logprobs": all_logprobs, - "env_reward": env_rewards, # Extra field for reward function - } -``` - -### Key Implementation Tricks - -#### 1. **Token Concatenation** (THE CRITICAL TRICK) - -```python -# EACH TURN adds to the same lists -episode_prompt_ids.extend(result["prompt_ids"][0]) -episode_completion_ids.extend(result["completion_ids"][0]) -episode_logprobs.extend(result["logprobs"][0]) -``` - -**Why this works:** -- Multi-turn episode becomes ONE long sequence: `[turn1_prompt, turn1_completion, turn2_prompt, turn2_completion, ...]` -- GRPO trains on the ENTIRE sequence as if it were one completion -- Gradient flows through all turns -- Model learns the full multi-turn policy - -**Example:** -```python -# Turn 1: "What's 2+2?" → "4" -# Turn 2: "What's 4+2?" → "6" -# Turn 3: "What's 6+2?" → "8" - -# Becomes ONE sequence: -prompt_ids = [tok("What's 2+2?"), tok("4"), tok("What's 4+2?"), tok("6"), tok("What's 6+2?"), tok("8")] -# GRPO treats this as ONE generation and trains on ALL of it -``` - -#### 2. **vLLM Server Communication** (Synchronous HTTP) - -```python -payload = { - "prompts": [episode_prompt["prompt"]], - "n": 1, # Only 1 completion per request - "temperature": args.temperature, - "top_p": args.top_p, - "max_tokens": args.max_completion_length, -} -response = requests.post(gen_url, json=payload) # BLOCKING -result = response.json() -``` - -**Key details:** -- Uses external vLLM server (not the training model) -- HTTP POST request per turn -- **BLOCKING** call (no async) -- vLLM returns: `{"prompt_ids": [[...]], "completion_ids": [[...]], "logprobs": [[...]]}` -- Response format matches TRL's expected output - -**Why external server:** -- Keeps generation separate from training -- Avoids memory conflicts -- Can use different devices - -#### 3. **Nested Loop Structure** - -```python -for base_prompt in prompts: # Dataset prompts - for _ in range(num_generations): # G rollouts (GRPO group) - while not obs.done: # Multi-turn episode - # Generate → Parse → Step -``` - -**Loop purposes:** -1. **Outer:** Batch of prompts from dataset (GRPO's dataloader) -2. **Middle:** Generate G completions per prompt (for group normalization) -3. **Inner:** Multi-turn loop until episode ends - -**Output shape:** -- `len(prompts) * num_generations` total episodes -- Each episode: variable length (depends on turns to completion) - -#### 4. **Chat Template Per Turn** - -```python -episode_msg = {"prompt": [{"role": "user", "content": f"{base_prompt}\n\n{obs.info_state}\n"}]} -episode_prompt = apply_chat_template(episode_msg, processing_class) -``` - -**Important:** -- Each turn builds a FRESH prompt -- Does NOT maintain conversation history in the prompt -- Environment state (`obs.info_state`) provides context -- Chat template wraps it properly - -**For tool calling, you'd do:** -```python -messages = [ - {"role": "system", "content": "You have access to tools..."}, - {"role": "user", "content": task}, - # Previous turns would go here -] -``` - -### Example 2: Wordle (More Sophisticated Multi-Turn) - -**File:** `trl/examples/scripts/openenv/wordle.py:331-425` - -Wordle demonstrates MORE advanced patterns: - -#### **1. Conversation History Management** (wordle.py:254-273) - -```python -def format_history(messages: Iterable[TextArenaMessage]) -> str: - lines = [] - for message in messages: - tag = message.category or "MESSAGE" - content = message.content.strip() - if not content: - continue - lines.append(f"[{tag}] {content}") - return "\n".join(lines) - -def make_user_prompt(prompt_text: str, messages: Iterable[TextArenaMessage]) -> str: - history = format_history(messages) - prompt_section = prompt_text.strip() - history_section = history if history else "[PROMPT] Awaiting first feedback." - return ( - f"Game prompt:\n{prompt_section}\n\n" - f"Conversation so far:\n{history_section}\n\n" - "Reply with your next guess enclosed in square brackets." - ) -``` - -**Key insight:** Environment maintains the message history, code formats it for each turn's prompt. - -#### **2. Multiple Reward Signals** (wordle.py:394-425) - -```python -for _turn in range(cli_args.max_turns): - if result.done: - break - - # Build prompt with history - messages = [ - {"role": "system", "content": system_prompt}, - {"role": "user", "content": user_prompt}, - ] - prompt_text = tokenizer.apply_chat_template(messages, ...) - - # Generate - vllm_result = request_vllm_completion(...) - - # Extract guess - guess = extract_guess(completion_text) - - # Step environment - result = env.step(TextArenaAction(message=guess)) - - # MULTIPLE reward signals - feedback = extract_wordle_feedback(observation) - green_count, yellow_count = extract_feedback_counts(feedback) - - green_score = green_count / 5.0 - yellow_score = yellow_count / 5.0 - repetition_score = scale_repetition_score(...) - correct_score = float(result.reward or 0.0) - - # Store for return - green_scores.append(green_score) - yellow_scores.append(yellow_score) - repetition_scores.append(repetition_score) - correct_scores.append(correct_score) - -# Return FINAL rewards from each signal -return { - "prompt_ids": prompt_ids, - "completion_ids": completion_ids, - "logprobs": logprobs, - "correct_reward": correct_scores[-1], # Final turn - "green_reward": green_scores[-1], # Final turn - "yellow_reward": yellow_scores[-1], # Final turn - "repetition_reward": repetition_scores[-1],# Final turn -} -``` - -#### **3. Multiple Reward Functions** (wordle.py:484-509) - -```python -def reward_correct(completions, **kwargs): - return kwargs.get("correct_reward", [0.0] * len(completions)) - -def reward_greens(completions, **kwargs): - return kwargs.get("green_reward", [0.0] * len(completions)) - -def reward_yellows(completions, **kwargs): - return kwargs.get("yellow_reward", [0.0] * len(completions)) - -def reward_repetition(completions, **kwargs): - return kwargs.get("repetition_reward", [0.0] * len(completions)) - -# In trainer: -trainer = GRPOTrainer( - reward_funcs=[ - reward_correct, - reward_greens, - reward_yellows, - reward_repetition, - ], - args=grpo_config, - rollout_func=wrapped_rollout, -) -``` - -**How it works:** -1. `rollout_func` computes multiple reward signals, stores in dict -2. Each reward function extracts its signal from kwargs -3. GRPO sums all rewards: `total_reward = w1*r1 + w2*r2 + w3*r3 + w4*r4` -4. Can weight each signal with `reward_weights=[1.0, 0.5, 0.5, 0.2]` - -#### **4. Max Turns Limit** (wordle.py:352) - -```python -for _turn in range(cli_args.max_turns): # Limit to 5 guesses - if result.done: - break - # ... generate and step -``` - -**Important:** -- Prevents infinite loops -- Truncates long episodes -- Similar to `max_steps` in RL - -### How to Use in Forge - -**Step 1: Define rollout function** - -```python -def custom_rollout(prompts, args, processing_class, env_client, gen_url): - all_prompt_ids, all_completion_ids, all_logprobs = [], [], [] - rewards = [] - - for prompt in prompts: - for _ in range(args.num_generations): - # Multi-turn loop here - episode_prompt_ids, episode_completion_ids, episode_logprobs = [], [], [] - env_result = env_client.reset() - - while not env_result.done: - # Generate → Parse → Step → Accumulate - ... - - all_prompt_ids.append(episode_prompt_ids) - all_completion_ids.append(episode_completion_ids) - all_logprobs.append(episode_logprobs) - rewards.append(total_reward) - - return { - "prompt_ids": all_prompt_ids, - "completion_ids": all_completion_ids, - "logprobs": all_logprobs, - "env_reward": rewards, - } -``` - -**Step 2: Pass to trainer** - -```python -trainer = GRPOTrainer( - model="Qwen/Qwen2.5-0.5B-Instruct", - reward_funcs=lambda completions, **kwargs: kwargs.get("env_reward", []), - rollout_func=lambda p, a, pc: custom_rollout(p, a, pc, env, gen_url), - args=grpo_config, - train_dataset=dataset, -) -``` - -### TRL Does NOT Have Native Tool Calling for GRPO - -**Important realization:** - -1. **No built-in tool calling:** TRL's GRPO does NOT have native support for tool execution -2. **Environment IS the tool:** The OpenEnv client acts as the "tool executor" - - `env.step(action)` = "execute tool" - - `env.observation` = "tool result" -3. **Text parsing:** Actions are parsed from model output text (regex, etc.) -4. **No async:** Everything is synchronous (blocking HTTP calls) - -**For actual tool calling (like function calling), you'd need to:** - -```python -while not done: - # Generate - response = vllm_generate(prompt) - - # Parse tool calls from text - if "" in response.text: - tool_call = parse_tool_call(response.text) - - # Execute tool (YOUR CODE) - tool_result = execute_tool(tool_call["name"], tool_call["args"]) - - # Add to history - messages.append({"role": "assistant", "tool_calls": [tool_call]}) - messages.append({"role": "tool", "content": str(tool_result)}) - - # Continue - prompt = build_prompt(messages) - else: - # No tool call, end episode - done = True -``` - -### Comparison: TRL vs Forge BlackJack vs VERL - -| Aspect | Forge BlackJack | TRL + OpenEnv | VERL | Verifiers | -|--------|-----------------|---------------|------|-----------| -| **Multi-turn loop** | Manual in play_game() | In rollout_func | State machine | While loop in env | -| **Generator** | Forge Generator (vLLM) | External vLLM server | SGLang/vLLM | AsyncOpenAI | -| **Token accumulation** | Per step (not concat) | **Concatenate across turns** | Per turn | Per turn | -| **Episode structure** | One Episode per step | **One episode = full game** | One episode = full convo | One episode = full convo | -| **Environment** | OpenEnv (sync) | OpenEnv (sync HTTP) | Custom | Verifiers MultiTurnEnv | -| **Async** | AsyncIO in rollouts | **No async (blocking HTTP)** | Full async/await | Full async/await | -| **Tool execution** | N/A | env.step() | Manual | tool_map lookup | -| **Reward assignment** | Final → all steps | Final reward | Step + final | Sparse at end | - -### Key Takeaways for Forge - -1. **Token concatenation is THE trick** - - Entire episode becomes one sequence - - GRPO trains on all turns together - - Simpler than per-step episodes - -2. **vLLM server separation** - - Keeps generation off training GPU - - Uses HTTP (blocking is fine) - - Returns prompt_ids, completion_ids, logprobs - -3. **rollout_func is the hook** - - Replaces TRL's default generation - - Full control over multi-turn logic - - Can inject environment, URL, etc. - -4. **No async needed (yet)** - - TRL examples use blocking HTTP - - Works fine for simple cases - - Async would enable pipelining (see NeMo-RL) - -5. **Multiple reward functions** - - Define separate functions for each signal - - GRPO sums them automatically - - Can weight with `reward_weights` - -6. **For tool calling:** - - Parse tool calls from text output - - Execute tools in rollout loop - - Concatenate all tokens - - Return final reward - -### Token Concatenation Pattern (Strategy B) - -**File:** `trl/examples/scripts/openenv/catch.py:162-215` - -**THE CRITICAL TRICK - How TRL concatenates multi-turn into one sequence:** - -```python -def rollout_func(prompts, args, processing_class, client, gen_url): - for base_prompt in prompts: - for _ in range(args.num_generations): - # Storage for THIS episode's tokens (across ALL turns) - episode_prompt_ids = [] - episode_completion_ids = [] - episode_logprobs = [] - - # Multi-turn loop - while not obs.done: - # 1. Generate this turn - response = requests.post(gen_url, json={ - "prompts": [current_prompt], - "max_tokens": args.max_completion_length, - }) - result = response.json() - - # 2. CONCATENATE tokens from this turn - episode_prompt_ids.extend(result["prompt_ids"][0]) - episode_completion_ids.extend(result["completion_ids"][0]) - episode_logprobs.extend(result["logprobs"][0]) - - # 3. Parse action and step environment - action = parse_action(result["completion_ids"]) - env_result = client.step(action) - - # Return ENTIRE episode as ONE sequence - all_prompt_ids.append(episode_prompt_ids) - all_completion_ids.append(episode_completion_ids) - all_logprobs.append(episode_logprobs) - - return { - "prompt_ids": all_prompt_ids, - "completion_ids": all_completion_ids, - "logprobs": all_logprobs, - } -``` - -**What GRPO sees:** -```python -# Multi-turn episode with 3 turns becomes: -episode_completion_ids = [ - # Turn 1 - [345, 346, 347], # "Action: 2" - # Turn 2 - [456, 457, 458], # "Action: 1" - # Turn 3 - [567, 568, 569], # "Action: 0" -] -# Flattened to: [345, 346, 347, 456, 457, 458, 567, 568, 569] - -# GRPO trains on this as ONE completion -# Gradient flows through all turns -``` - -**Note:** TRL doesn't use response_mask in these examples (trains on everything). For tool calling, you'd need to add masking. - ---- - -## Updated Comparison: All Six Examples - -| Aspect | BlackJack | Tinker | VERL | NeMo-RL | Verifiers | **TRL** | -|--------|-----------|--------|------|---------|-----------|---------| -| **Rollout Loop** | Manual | Env step | State machine | Per-sample async | While loop | **In rollout_func** | -| **Tool Calling** | No tools | Tag-based | Native | Native | OpenAI native | **Text parsing** | -| **Generator** | vLLM v1 | Model.generate | vLLM/SGLang | vLLM async | vLLM/AsyncOpenAI | **vLLM server (HTTP)** | -| **Token Handling** | Per step | Per turn | Concatenated | Concatenated | Per turn | **Concatenated** | -| **Episode = ** | Single step | Full convo | Full convo | Full convo | Full convo | **Full game** | -| **Async** | AsyncIO | No | Full | **Per-sample** | Full | **None (blocking)** | -| **Response Mask** | No | No | Explicit | Explicit | process_env_results | **No** | -| **Multi Rewards** | Single | Single | Tool lifecycle | Per-step | Single | **Multiple funcs** | -| **Abstraction** | Low | Medium | Medium | Medium | Medium-High | **Hook-based** | - ---- - -## Recommendation for Forge: Hybrid Approach - -Based on all six examples, here's the recommended approach for Forge + tool calling: - -### Phase 1: Simple Implementation (Like TRL) - -**Goal:** Get multi-turn tool calling working ASAP - -**Pattern:** Adapt TRL's `rollout_func` approach to Forge - -```python -async def play_task( - task_prompts: list[str], - args, - generator, # Forge Generator - tokenizer, - env_client, # OpenEnv or custom tool executor - max_turns: int = 10, -): - """Multi-turn rollout with tool calling.""" - all_episodes = [] - - for prompt in task_prompts: - for _ in range(args.num_generations): - # Reset environment - env_result = env_client.reset(task=prompt) - - # Storage for entire episode - episode_tokens = [] - episode_logprobs = [] - messages = [{"role": "user", "content": prompt}] - total_reward = 0.0 - - for turn in range(max_turns): - if env_result.done: - break - - # 1. Build prompt from message history - prompt_text = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=False - ) - - # 2. Generate via Forge Generator - response = await generator.generate(prompt_text) - - # 3. Concatenate tokens (THE KEY TRICK) - prompt_ids = tokenizer.encode(prompt_text, add_special_tokens=False) - completion_ids = response.token_ids - episode_tokens.extend(prompt_ids + completion_ids) - episode_logprobs.extend(response.logprobs) - - # 4. Parse tool calls from response - if is_tool_call(response.text): - tool_call = parse_tool_call(response.text) - - # Execute tool - tool_result = env_client.execute_tool( - tool_call["name"], - tool_call["args"] - ) - - # Add to message history - messages.append({ - "role": "assistant", - "tool_calls": [tool_call] - }) - messages.append({ - "role": "tool", - "content": str(tool_result) - }) - - # Update env - env_result = env_client.step(tool_call) - total_reward += env_result.reward or 0.0 - else: - # Final answer - messages.append({ - "role": "assistant", - "content": response.text - }) - env_result = env_client.finalize(response.text) - total_reward += env_result.reward or 0.0 - break - - all_episodes.append({ - "token_ids": episode_tokens, - "logprobs": episode_logprobs, - "reward": total_reward, - "num_turns": turn + 1, - }) - - return all_episodes -``` - -**Key points:** -- Concatenate all turns into ONE sequence -- Use existing Forge Generator -- Synchronous execution (blocking is OK) -- Simple text parsing for tool calls - -### Phase 2: Add Response Masking (Like VERL/NeMo-RL) - -**Goal:** Don't train on tool results - -```python -def build_episode_with_mask(messages, tokenizer): - """Build episode with response mask to exclude tool results.""" - all_tokens = [] - response_mask = [] - - for msg in messages: - tokens = tokenizer.encode(msg["content"], add_special_tokens=False) - - if msg["role"] == "assistant": - # Train on assistant tokens - all_tokens.extend(tokens) - response_mask.extend([1] * len(tokens)) - elif msg["role"] == "tool": - # Don't train on tool results - all_tokens.extend(tokens) - response_mask.extend([0] * len(tokens)) - else: - # Prompt tokens - all_tokens.extend(tokens) - response_mask.extend([0] * len(tokens)) - - return all_tokens, response_mask -``` - -### Phase 3: Async Pipelining (Like NeMo-RL) - -**Goal:** Don't block on tool execution - -```python -async def play_task_async(task_prompts, ...): - """Per-sample async tasks for pipelining.""" - # Create one task per sample - tasks = [ - asyncio.create_task(play_single_task(prompt, ...)) - for prompt in task_prompts - ] - - # Run concurrently - episodes = await asyncio.gather(*tasks) - return episodes - -async def play_single_task(prompt, ...): - """Single sample multi-turn loop.""" - while not done: - # Generate (may block) - response = await generator.generate_async(prompt_text) - - # Parse tool call - tool_call = parse_tool_call(response.text) - - # Execute tool (async, doesn't block other samples) - tool_result = await env_client.execute_tool_async(...) - - # Continue -``` - -**Benefit:** While sample 1 waits for tool result, sample 2/3/4 continue generating - -### Summary - -| Phase | Complexity | Performance | Features | -|-------|-----------|-------------|----------| -| 1: Simple | Low | OK | Multi-turn, text parsing, sync | -| 2: Masking | Medium | Better | + Don't train on tool results | -| 3: Async | High | Best | + Pipelined execution | - -**Recommendation:** Start with Phase 1, add Phase 2 when working, consider Phase 3 if bottlenecked. - ---- - -## Forge: Current Capabilities & Optimization Roadmap - -This section consolidates information about Forge's current state, what optimizations are available, and how to add multi-turn tool calling. - -### Current Forge Architecture - -#### What You Have ✅ - -**Generator** (`src/forge/actors/generator.py`) -- **vLLM v1 Engine**: Manual implementation mirroring AsyncLLMEngine (lines 71-578) -- **Async Interface**: `async def generate()` endpoint (line 290) -- **Request Queueing**: Uses `asyncio.Future` for async request handling (line 357) -- **Run Loop**: Continuous `schedule() → execute() → process()` pattern (line 396) -- **Architecture**: Coordinator (CPU) + Workers (GPU) via Monarch proc meshes - -**GRPO Main** (`apps/grpo/main.py`) -- **Parallel Rollout Threads**: Multiple `continuous_rollouts()` tasks (line 472) -- **Async Generation**: `await policy.generate.route()` (line 373) -- **Async Rewards**: `await reward_actor.evaluate_response.route()` (line 391) -- **Async Reference Model**: `await ref_model.forward.route()` (line 402) -- **Replay Buffer**: Decoupled rollout and training loops - -#### What You're Missing ❌ - -**Critical Missing Pieces** - -1. **vLLM AsyncLLM Engine** - - Current: Synchronous scheduler with async wrapper - - Missing: True `AsyncLLM` from `vllm.v1.engine.async_llm` - - Impact: Can't pipeline requests at vLLM level - -2. **Parallel Episode Execution** - - Current: Episodes in a group process sequentially (main.py:382-398) - - Missing: `asyncio.gather()` for parallel episode creation - - Impact: Reward evaluation blocks each other - -3. **Multi-turn / Tool Calling** - - Missing: Turn loop in rollout - - Missing: Message history tracking - - Missing: Tool execution logic - - Impact: Can't do multi-step reasoning tasks - -4. **Response Masking** - - Missing: Masks to exclude tool results from training - - Impact: Would train on environment outputs (bad!) - -### Quick Performance Wins (1-2 Days Implementation) - -**Impact**: 8-12x speedup on rollout collection -**Effort**: Low (refactor existing code) -**Risk**: Very low - -#### 1. Parallel Episode Processing - -**Current Bottleneck** (`apps/grpo/main.py:382-398`): -```python -for i, response in enumerate(responses): - episode.reward = await reward_actor.evaluate_response.route(...) # Sequential! -``` - -**Fix**: Use `asyncio.gather()` -```python -# Create episodes in parallel -episode_tasks = [ - create_episode_async(response, prompt, target, ...) - for response in responses -] -results = await asyncio.gather(*episode_tasks) -``` - -**Speedup**: `group_size`x on reward evaluation (8x if `group_size=8`) - -**Complete Implementation**: -```python -async def create_episode_async( - i: int, - response: Completion, - prompt: str, - target: str, - pad_id: int, - max_req_tokens: int, - max_res_tokens: int, - reward_actor: Any, -) -> tuple[Episode, torch.Tensor]: - """Create one episode with async reward evaluation.""" - import uuid - - episode = Episode( - episode_id=str(uuid.uuid4()), - pad_id=pad_id, - request_len=max_req_tokens, - response_len=max_res_tokens, - target=target, - completion=response, - ) - - # Async reward evaluation (doesn't block other episodes!) - episode.reward = await reward_actor.evaluate_response.route( - prompt=prompt, response=response.text, target=target - ) - - # Build input_ids row for reference model - input_ids_row = torch.ones(max_req_tokens + max_res_tokens, dtype=torch.long) - input_ids_row[:max_req_tokens] = episode.request_tensor - input_ids_row[max_req_tokens:] = episode.response_tensor - - return episode, input_ids_row -``` - -#### 2. Parallel Prompt Groups - -**Current**: Process one prompt at a time -```python -sample = await dataloader.sample.call_one() -responses = await policy.generate.route(prompt) # Then next prompt -``` - -**Fix**: Batch multiple prompts -```python -# Sample multiple prompts at once -samples = await asyncio.gather(*[ - dataloader.sample.call_one() - for _ in range(concurrent_prompts) -]) - -# Process all prompts concurrently -prompt_tasks = [ - process_single_prompt_group(sample, ...) - for sample in samples -] -episode_counts = await asyncio.gather(*prompt_tasks) -``` - -**Speedup**: ~4x if processing 4 prompts in parallel - -**Expected Combined Speedup**: 8x (parallel episodes) × 4x (parallel prompts) = **32x total** - -### What vLLM Flags You Can Use NOW - -**✅ Supported (No Code Changes)** - -Add these to `EngineArgs` in your config: - -```yaml -# apps/grpo/qwen3_1_7b.yaml -policy: - engine_args: - model: "Qwen/Qwen3-1.7B" - # Tool calling support (PRIME-RL pattern) - enable_auto_tool_choice: true - tool_call_parser: "hermes" # or "mistral", "llama", "internlm" - - # Standard vLLM performance flags - tensor_parallel_size: 1 - gpu_memory_utilization: 0.9 - max_model_len: 4096 - enable_prefix_caching: true # Helps with multi-turn! -``` - -**Impact**: -- `enable_auto_tool_choice`: vLLM parses tool calls natively (no regex needed) -- `tool_call_parser`: Specifies format (model-dependent) -- `enable_prefix_caching`: Caches prompt prefixes (useful for multi-turn) - -**❌ NOT Supported (Requires Refactor)** - -```python -# This requires AsyncLLM class (Phase 3.1): -async_engine: true # ❌ Your Generator uses synchronous Scheduler -``` - -### Recommended Implementation Roadmap - -#### Week 1: Quick Wins -1. ✅ Implement parallel episode processing (`asyncio.gather` for rewards) -2. ✅ Implement parallel prompt groups (process 4 prompts at once) -3. ✅ Add metrics to measure speedup -4. 🎯 **Target**: 8-32x speedup on rollout collection - -#### Weeks 2-3: Multi-turn Foundation -5. ✅ Add multi-turn loop (TRL pattern, token concatenation) -6. ✅ Add simple tool calling (text parsing, function map) -7. ✅ Add response masking (don't train on tool results) -8. ✅ Test on simple tool task (e.g., calculator) -9. 🎯 **Target**: Working tool calling RL - -#### Weeks 4-6: Production Multi-turn -10. ✅ Add vLLM native tool calling (`enable_auto_tool_choice`) -11. ✅ Add message history management (explicit list) -12. ✅ Add per-sample async tasks (NeMo-RL pattern) -13. ✅ Benchmark on Tau-bench or similar -14. 🎯 **Target**: Production-ready tool calling - -#### Future: Advanced Optimization (If Needed) -15. ⚠️ Refactor Generator to use AsyncLLM (if bottlenecked) -16. ⚠️ Add sample-level pipelining (if tool latency is high) -17. 🎯 **Target**: Maximum throughput - -### Comparison: Forge vs Other Libraries - -| Feature | Forge (Current) | After Quick Wins | After Multi-turn | NeMo-RL | PRIME-RL | -|---------|----------------|------------------|------------------|---------|----------| -| **Async Generation** | ✅ | ✅ | ✅ | ✅ | ✅ | -| **Parallel Episodes** | ❌ | ✅ | ✅ | ✅ | ✅ | -| **Parallel Prompts** | ❌ | ✅ | ✅ | ✅ | ❌ | -| **Multi-turn** | ❌ | ❌ | ✅ | ✅ | ✅ | -| **Tool Calling** | ❌ | ❌ | ✅ | ✅ | ✅ | -| **Response Masking** | ❌ | ❌ | ✅ | ✅ | ✅ | -| **vLLM Native Tools** | ❌ | ❌ | Optional | ❌ | ✅ | -| **vLLM AsyncLLM** | ❌ | ❌ | ❌ | ✅ | ✅ | -| **Per-Sample Pipeline** | ❌ | ❌ | ❌ | ✅ | ❌ | - -### Risk Assessment - -**Low Risk ✅** -- **Parallel episodes**: Just refactoring existing code -- **Parallel prompts**: Uses existing async API -- **Multi-turn loop**: Additive, doesn't change existing flow -- **Response masking**: Just modifies loss function - -**Medium Risk ⚠️** -- **vLLM native tools**: Depends on model support -- **Per-sample tasks**: Changes concurrency model - -**High Risk 🔴** -- **AsyncLLM refactor**: Major architectural change -- Recommendation: **Only do this if Quick Wins + Multi-turn aren't enough!** - -### Expected Performance Gains - -**Quick Wins (Week 1)** -- Baseline: 1 prompt with group_size=8 takes ~1 second -- Parallel episodes: 800ms → 100ms per group (8x) -- Parallel prompts: Process 4 groups in 100ms instead of 400ms (4x) -- **Total speedup**: ~32x on rollout collection - -**Multi-turn (Weeks 2-6)** -- Baseline: Multi-turn with 3 turns, 2 tools per episode -- Without optimization: Sequential turns, sequential tool calls -- With async tools: Parallel tool execution (~2x) -- With per-sample tasks: While Sample 1 waits, Sample 2 generates (~1.5x) -- **Total speedup**: ~3x additional (96x total from baseline) - -**AsyncLLM (Future)** -- Baseline: vLLM generation throughput -- Current: Synchronous scheduler -- AsyncLLM: Request pipelining at vLLM level -- **Additional speedup**: ~2x (if generation-bound) - -### Next Steps - -1. **Implement** Quick Wins (parallel episodes + parallel prompts) -2. **Test** speedup on your current GSM8K setup -3. **Measure** with existing metrics -4. **Add** multi-turn loop following TRL/BlackJack patterns above -5. **Avoid** AsyncLLM refactor unless absolutely necessary (high risk!) - -### Key Questions to Answer Before Implementing - -**What's your bottleneck?** -- If rollout collection: Quick Wins are enough -- If you need tool calling: Multi-turn required -- If generation-bound: Consider AsyncLLM (risky!) - -**What tasks are you targeting?** -- Single-turn (math, coding): Quick Wins only -- Multi-turn reasoning: Multi-turn required -- Complex tool workflows: Multi-turn + async tools - -**What's your timeline?** -- Need results this week: Quick Wins -- Research project (1-2 months): Multi-turn -- Production system: Multi-turn, consider AsyncLLM - -**What's your risk tolerance?** -- Low: Quick Wins + Multi-turn (Phases 1-2) -- Medium: Full Multi-turn + vLLM native tools -- High: AsyncLLM refactor (only if truly needed!) - ---- - -## Handling Multiple Environments (e.g., WebSearch + Coding) - -This section addresses the question: **What happens if you have multiple environments/domains (e.g., websearch AND coding tasks)?** - -Research conducted across all major frameworks: **Tinker-Cookbook (Meta)**, **Verifiers (Prime Intellect)**, **VERL**, and **NeMo-RL (Thinking Machines)**. - ---- - -### 1. Tinker-Cookbook: `CompositeDataset` Pattern ⭐ RECOMMENDED - -**Location**: `tinker-cookbook/distillation/datasets.py:45-84` - -Tinker uses a **`CompositeDataset`** that mixes multiple `RLDataset`s at the batch level. - -#### Core Abstraction: `EnvGroupBuilder` - -Every environment implements this interface: - -```python -# tinker_cookbook/rl/types.py:64-108 - -class EnvGroupBuilder(ABC): - """ - Builds a group of environments. Can be used for: - - Multi-agent environments - - GRPO groups (e.g., 8 copies for one problem) - """ - - @abstractmethod - async def make_envs(self) -> Sequence[Env]: - """Create a group of environments (e.g., 8 copies for GRPO)""" - pass - - async def compute_group_rewards( - self, trajectory_group: list[Trajectory], env_group: Sequence[Env] - ) -> list[tuple[float, Metrics]]: - """Compute final reward looking at whole group (optional)""" - return [(0.0, {}) for _ in trajectory_group] - - def logging_tags(self) -> list[str]: - """Tags for logging (e.g., ['gsm8k'], ['websearch'])""" - return [] -``` - -**Example: Math Environment** -```python -# tinker_cookbook/recipes/math_rl/math_env.py - -class Gsm8kDataset(RLDataset): - def get_batch(self, index: int) -> Sequence[EnvGroupBuilder]: - batch_start = index * self.batch_size - batch_end = min((index + 1) * self.batch_size, len(self.ds)) - return [ - ProblemGroupBuilder( - env_thunk=partial(MathEnv, problem, answer, self.renderer), - num_envs=group_size, # e.g., 8 for GRPO - dataset_name="gsm8k" - ) - for row in self.ds.select(range(batch_start, batch_end)) - ] -``` - -#### Mixing Multiple Environments: `CompositeDataset` - -```python -# tinker_cookbook/distillation/datasets.py:45-84 - -class CompositeDataset: - """Wraps multiple datasets and samples from each according to their groups_per_batch.""" - - def __init__(self, datasets: List[RLDataset], groups_per_batch_list: List[int]): - self.datasets = datasets - self.groups_per_batch_list = groups_per_batch_list - self.length = min(len(dataset) for dataset in datasets) - - def get_batch(self, i_batch: int) -> tuple[List[EnvGroupBuilder], List[int]]: - """ - Get a batch by sampling from each dataset. - - Returns: - env_group_builders: List of all env group builders (mixed!) - dataset_indices: Which dataset each builder came from - """ - all_env_group_builders = [] - all_dataset_indices = [] - - for dataset_idx, (dataset, groups_per_batch) in enumerate( - zip(self.datasets, self.groups_per_batch_list) - ): - env_group_builders = dataset.get_batch(i_batch) - all_env_group_builders.extend(env_group_builders) - all_dataset_indices.extend([dataset_idx] * groups_per_batch) - - return all_env_group_builders, all_dataset_indices -``` - -#### How Training Works with Mixed Environments - -```python -# tinker_cookbook/rl/train.py:357 - -# Training loop -for i_batch in range(num_batches): - # Get batch of EnvGroupBuilders (could be from different envs!) - env_group_builders_P = dataset.get_batch(i_batch) - - # Rollout each group asynchronously - for builder in env_group_builders_P: - trajectory_group = await do_group_rollout( - sampling_client, - builder, # Each builder knows its own env type! - max_tokens=cfg.max_tokens, - ) - - # Training data assembly - # Each trajectory_group has its own reward/metrics - # Logging uses builder.logging_tags() to separate metrics -``` - -**Key insight:** Each `EnvGroupBuilder` is self-contained: -- Knows how to create its environments -- Knows how to compute rewards -- Has its own logging tags - -#### Concrete Example: Mixing WebSearch and Coding - -```python -from tinker_cookbook.rl.types import RLDataset, EnvGroupBuilder -from tinker_cookbook.distillation.datasets import CompositeDataset - -# 1. Define WebSearch dataset -class WebSearchDataset(RLDataset): - def get_batch(self, index: int) -> Sequence[EnvGroupBuilder]: - return [ - ToolUseGroupBuilder( - env_thunk=partial( - SearchEnv, - problem=row["query"], - answer=row["answer"], - tool_client=search_tool_client, # search_pages, view_sections - renderer=renderer, - ), - num_envs=8, - dataset_name="websearch" - ) - for row in self.ds.select(batch_indices) - ] - -# 2. Define Coding dataset -class CodingDataset(RLDataset): - def get_batch(self, index: int) -> Sequence[EnvGroupBuilder]: - return [ - ToolUseGroupBuilder( - env_thunk=partial( - CodeEnv, - problem=row["task"], - test_cases=row["tests"], - tool_client=code_tool_client, # execute_code, debug - renderer=renderer, - ), - num_envs=8, - dataset_name="coding" - ) - for row in self.ds.select(batch_indices) - ] - -# 3. Mix them with CompositeDataset -mixed_dataset = CompositeDataset( - datasets=[ - WebSearchDataset(...), - CodingDataset(...), - ], - groups_per_batch_list=[ - 50, # 50 websearch groups per batch - 50, # 50 coding groups per batch - ] -) - -# 4. Use in training -for i_batch in range(num_batches): - env_group_builders, dataset_indices = mixed_dataset.get_batch(i_batch) - # env_group_builders has 100 items: 50 websearch + 50 coding - # Each knows its own tools, max_turns, reward function! -``` - -**Why this works:** -- ✅ **Batch-level mixing**: Each batch contains groups from multiple datasets -- ✅ **Decentralized**: Each `EnvGroupBuilder` is independent -- ✅ **Flexibility**: Control exact ratio per batch (`groups_per_batch_list=[50, 50]`) -- ✅ **Logging**: Each builder has its own tags for separate metrics - ---- - -### 2. Verifiers (Prime Intellect): `EnvGroup` Pattern - -**Location**: `verifiers/verifiers/envs/env_group.py` - -Verifiers has an **`EnvGroup`** class specifically designed for mixing environments: - -```python -# verifiers/verifiers/envs/env_group.py - -class EnvGroup(Environment): - """Environment group that acts as a mixture of multiple environments.""" - - def __init__(self, envs: list[Environment], env_names: list[str] | None = None): - self.envs = envs - self.env_names = env_names or [f"env_{i}" for i in range(len(envs))] - - # Create mapping for quick lookup - self.env_map = {name: env for name, env in zip(self.env_names, self.envs)} - - # Concatenate datasets with task labels - for env, name in zip(self.envs, self.env_names): - env_dataset = env.get_dataset().map(lambda x: {**x, "task": name}) - datasets.append(env_dataset) - - # Combine all datasets - dataset = concatenate_datasets(datasets) -``` - -#### How EnvGroup Routes to Environments - -```python -async def rollout(self, client, model, prompt, task, ...): - # Route to appropriate environment based on task - env = self.env_map[task] - - # Set tools for this task's environment - if hasattr(env, "oai_tools") and env.oai_tools: - info["oai_tools"] = env.oai_tools # Different tools per env! - - # Execute rollout with task-specific environment - completion, state = await env.rollout(client, model, prompt, ...) -``` - -#### Example Usage - -```python -# Define environments -websearch_env = vf.ToolEnv( - dataset=websearch_dataset, - tools=[search_pages, view_sections], # Web search tools - max_turns=10 -) - -coding_env = vf.ToolEnv( - dataset=coding_dataset, - tools=[execute_code, debug_code], # Coding tools - max_turns=15 -) - -# Combine into EnvGroup -env = EnvGroup( - envs=[websearch_env, coding_env], - env_names=["websearch", "coding"] -) - -# Training: samples automatically routed to correct environment -generate_outputs = await env.generate( - inputs=mixed_dataset, # Has both websearch and coding samples - client=client, - model=model_name -) -``` - -**How it works:** -1. Each sample gets a `task` field (e.g., `"websearch"` or `"coding"`) -2. `EnvGroup.rollout()` routes to appropriate environment based on task -3. Different tools, max_turns, reward functions per environment - -**Key advantages:** -- ✅ **Sample-level routing**: Automatic based on task field -- ✅ **Centralized**: `EnvGroup` owns all sub-environments -- ✅ **Simpler API**: Just pass task name, routing is automatic -- ✅ **Different configurations**: Each environment has its own tools, max_turns, rubric - ---- - -### 3. VERL: Separate Config Files (Manual Approach) - -**Location**: `verl/examples/sglang_multiturn/config/tool_config/` - -VERL uses **separate YAML config files** for different tool sets: - -```yaml -# gsm8k_tool_config.yaml -tools: - - class_name: "verl.tools.gsm8k_tool.Gsm8kTool" - tool_schema: - type: "function" - function: - name: "calc_gsm8k_reward" - parameters: {...} - -# sandbox_fusion_tool_config.yaml (for coding) -tools: - - class_name: "verl.tools.sandbox_fusion_tools.SandboxFusionTool" - config: - sandbox_fusion_url: "..." - tool_schema: - type: "function" - function: - name: "code_interpreter" - parameters: {...} -``` - -**How they handle multiple environments:** -- **Option A**: Run separate training jobs with different configs - ```bash - # Job 1: Math with calculator tool - python main.py --tool_config gsm8k_tool_config.yaml - - # Job 2: Coding with sandbox tool - python main.py --tool_config sandbox_fusion_tool_config.yaml - ``` - -- **Option B**: Load tools dynamically based on task (manual implementation) - -**Limitation:** Not designed for mixed datasets out-of-the-box. - ---- - -### 4. NeMo-RL (Thinking Machines): Environment Registry - -**Location**: `RL/nemo_rl/distributed/ray_actor_environment_registry.py` - -NeMo-RL has an **`ACTOR_ENVIRONMENT_REGISTRY`** but it's for Python environments, not task routing: - -```python -ACTOR_ENVIRONMENT_REGISTRY: dict[str, str] = { - "nemo_rl.environments.math_environment.MathEnvironment": PY_EXECUTABLES.SYSTEM, - "nemo_rl.environments.code_environment.CodeEnvironment": PY_EXECUTABLES.SYSTEM, - "nemo_rl.environments.vlm_environment.VLMEnvironment": PY_EXECUTABLES.SYSTEM, - ... -} -``` - -**This is different:** It maps environment classes to Python virtual environments (for dependency isolation), not for routing during training. - -**How to handle multiple environments in NeMo-RL:** -```python -# In your config/code, you'd specify which environment to use -task_to_env = { - "websearch": WebSearchEnvironment(...), - "coding": CodeEnvironment(...), -} - -# In rollout loop: -env = task_to_env[sample["task_type"]] -result = await env.step(action) -``` - -**Similar to Verifiers' approach but manual.** - ---- - -### Framework Comparison Table - -| Framework | Multi-Env Support | Routing Method | Tools Per Env | Best For | -|-----------|-------------------|----------------|---------------|----------| -| **Tinker (Meta)** | ✅ Built-in `CompositeDataset` | Batch-level mixing | ✅ Different tools | **Production multi-env** | -| **Verifiers (Prime)** | ✅ Built-in `EnvGroup` | `task` field in dataset | ✅ Different tools | **Production multi-env** | -| **VERL** | ⚠️ Manual | Separate configs | Config-based | Single env per job | -| **NeMo-RL** | ⚠️ Manual | Dict lookup | Code-based | Custom routing logic | - ---- - -### Recommendation for Forge + Tau2Bench - -**Use Tinker's `CompositeDataset` pattern** (most flexible for your use case): - -```python -# 1. Define your environments -from tinker_cookbook.rl.types import RLDataset, EnvGroupBuilder -from tinker_cookbook.distillation.datasets import CompositeDataset - -websearch_env_builder = ToolUseGroupBuilder( - env_thunk=partial(WebSearchEnv, tools=[search_wiki, view_page], max_turns=10), - num_envs=8, - dataset_name="websearch" -) - -coding_env_builder = ToolUseGroupBuilder( - env_thunk=partial(CodingEnv, tools=[execute_python, execute_bash], max_turns=15), - num_envs=8, - dataset_name="coding" -) - -# 2. Create datasets -websearch_dataset = Tau2BenchDataset(domain="websearch", builders=[websearch_env_builder]) -coding_dataset = Tau2BenchDataset(domain="coding", builders=[coding_env_builder]) - -# 3. Combine into CompositeDataset -mixed_dataset = CompositeDataset( - datasets=[websearch_dataset, coding_dataset], - groups_per_batch_list=[50, 50] # 50 websearch + 50 coding per batch -) - -# 4. Use in Forge rollout -async def continuous_rollouts(): - while True: - # Get mixed batch - env_group_builders, dataset_indices = mixed_dataset.get_batch(batch_idx) - - # Each builder knows its own environment type! - for builder in env_group_builders: - episodes = await play_task_with_env_builder( - policy=policy, - env_builder=builder, # Handles routing internally - ) -``` - -**Why this works:** -- ✅ **Different tools** per environment (websearch vs coding) -- ✅ **Different max_turns** per environment -- ✅ **Different rewards** per environment -- ✅ **Unified training loop** (no special casing needed) -- ✅ **Separate metrics** (via logging_tags) -- ✅ **Flexible mixing ratios** (control via groups_per_batch_list) - -**Alternative (simpler but less flexible):** -Implement simple routing yourself: -```python -task_to_env = { - "websearch": websearch_env, - "coding": coding_env, -} - -async def play_task(task_sample, policy, tokenizer): - env = task_to_env[task_sample["task_type"]] - # Use env-specific tools and max_turns - ... -``` - ---- - -### Summary - -**Best patterns for handling multiple environments:** - -1. **Tinker's `CompositeDataset`**: Batch-level mixing, decentralized, flexible ratios -2. **Verifiers' `EnvGroup`**: Sample-level routing, centralized, automatic -3. **Manual routing**: Simple dict lookup, full control - -**For Forge + Tau2Bench:** Start with Tinker's pattern for maximum flexibility, or implement simple dict-based routing if you want to keep it simple. diff --git a/brainstorming_forge_tau/5_tutorial_multiturn_toolcalling.md b/brainstorming_forge_tau/5_tutorial_multiturn_toolcalling.md deleted file mode 100644 index c5179f78d..000000000 --- a/brainstorming_forge_tau/5_tutorial_multiturn_toolcalling.md +++ /dev/null @@ -1,2055 +0,0 @@ -# Tutorial: Multi-turn + Tool Calling in Forge for Tau2Bench - -**Goal:** This document teaches you the fundamentals of multi-turn and tool calling, shows concrete examples from Tau2Bench, explains how to implement it in Forge with OpenEnv, and provides a clear implementation plan. - -**For:** Junior developers new to RL and the Forge codebase - -**Status:** Tutorial + Planning Document - ---- - -## Table of Contents - -1. [Part 1: The Fundamentals](#part-1-the-fundamentals) -2. [Part 2: Tau2Bench Deep Dive](#part-2-tau2bench-deep-dive) -3. [Part 3: How Forge Currently Works](#part-3-how-forge-currently-works) -4. [Part 4: How Other Libraries Do It](#part-4-how-other-libraries-do-it) -5. [Part 5: Implementation Plan for Forge](#part-5-implementation-plan-for-forge) -6. [Part 6: Performance & Async Patterns](#part-6-performance--async-patterns) -7. [Part 7: What's Already Supported vs What Needs to Be Added](#part-7-whats-already-supported-vs-what-needs-to-be-added) - - -## Part 2: Tau2Bench Deep Dive - -### What is Tau2Bench? - -Tau2Bench is a **benchmark** for evaluating conversational agents in customer service scenarios. It tests if agents can: - -1. **Follow policies** (domain-specific rules) -2. **Use tools correctly** (call the right functions with right arguments) -3. **Communicate well** (talk to users naturally) -4. **Complete tasks** (achieve the goal) - -**Key Insight:** Tau2 is ONLY for evaluation. We'll train a model on different dataset and then evaluate on Tau2. - ---- - -### Tau2 Task Structure - -**📁 Code Reference:** `tau2-bench/data/tau2/domains/mock/tasks.json:1-28` - -Here's a complete task from the `mock` domain: - -```json -{ - "id": "create_task_1", - "description": { - "purpose": "Test the create_task functionality", - "notes": "Basic task creation test with a simple title" - }, - "user_scenario": { - "persona": "Professional and direct communicator", - "instructions": "Create a new task called 'Important Meeting' for user_1." - }, - "ticket": "User needs to create a task for an upcoming meeting. Create a new task called 'Important Meeting' for user_1.", - "evaluation_criteria": { - "actions": [ - { - "action_id": "create_1", - "name": "create_task", - "arguments": { - "user_id": "user_1", - "title": "Important Meeting" - }, - "info": "Create a new task for the meeting" - } - ], - "nl_assertions": [ - "The agent confirmed the task was created successfully" - ] - } -} -``` - -**Key insight:** Evaluation is done by checking if expected tools were called and by having another LLM confirm that the task was created successfully. - ---- - -### Tau2 Available Tools (Mock Domain) - -**📁 Code Reference:** `tau2-bench/src/tau2/domains/mock/tools.py` - -The `mock` domain has these tools: - -```python -# Tool 1: Create a task -create_task(user_id: str, title: str, description: str = None) -> Task - -# Tool 2: Get all users -get_users() -> list[User] - -# Tool 3: Update task status -update_task_status(task_id: str, status: str) -> Task -# status can be "pending" or "completed" - -# Tool 4: Transfer to human agent -transfer_to_human_agents(summary: str) -> str -``` - -**Other domains have different tools:** - -- `airline` - Search flights, book tickets, cancel bookings, etc. -- `retail` - Product search, orders, returns, refunds -- `telecom` - Account management, troubleshooting, plan changes - ---- - -### Example Multi-turn Interaction on Tau2 - -**Task:** Create a task and mark it as completed - -**Full Conversation:** - -``` -[Turn 1 - User] -"Hi! I need to create a task called 'Team Standup' for user_1 and then mark it as completed." - -[Turn 2 - Assistant] - - -[Turn 3 - Tool Result] -{"task_id": "task_2", "title": "Team Standup", "status": "pending"} - -[Turn 4 - Assistant] -"I've created the task 'Team Standup'. The task ID is task_2. Let me mark it as completed now." - -[Turn 5 - Assistant] - - -[Turn 6 - Tool Result] -{"task_id": "task_2", "title": "Team Standup", "status": "completed"} - -[Turn 7 - Assistant] -"Done! Task 'Team Standup' (task_2) is now marked as completed." - -[Turn 8 - User] -"Thanks!" - -[Turn 9 - Assistant] - # Special tool to signal completion -``` - -**Episode ends when:** -- Agent calls `done()` tool -- User says stop keywords (like "bye", "thanks") -- Max turns reached - ---- - -### How Tau2 Scores Episodes - -Tau2 evaluates based on multiple criteria: - -**1. ACTION Criteria** - Did the agent call the right tools with right arguments? - -```python -"evaluation_criteria": { - "actions": [ - { - "name": "create_task", - "arguments": { - "user_id": "user_1", - "title": "Important Meeting" - } - } - ] -} - -# Scoring: Agent must have called create_task with these arguments (order doesn't matter) -``` - -**2. ENV Criteria** - Is the database/environment state correct? - -```python -"env_assertions": [ - { - "func_name": "assert_task_status", - "arguments": {"task_id": "task_2", "expected_status": "completed"} - } -] - -# Scoring: After episode, task_2 must have status="completed" -``` - -**3. NL_ASSERTIONS Criteria** - Did the agent communicate properly? - -```python -"nl_assertions": [ - "The agent confirmed the task was created successfully" -] - -# Scoring: LLM judges if this assertion is true based on conversation -``` - -**Final Score:** - -```python -# Each criterion returns 0.0 or 1.0 -action_score = 1.0 if all_actions_correct else 0.0 -env_score = 1.0 if all_env_assertions_pass else 0.0 -nl_score = 1.0 if all_nl_assertions_pass else 0.0 - -# Final reward is the product (all must pass!) -final_reward = action_score * env_score * nl_score -``` - ---- - -### Tau2 Modes - -**1. Normal Mode** - Agent talks to user simulator - -``` -Agent ←→ User Simulator (another LLM) - ↓ -Environment (executes tools, tracks state) -``` - -**2. Solo Mode** - Agent works alone on a ticket - -``` -Agent gets ticket description - ↓ -Agent uses tools to complete task - ↓ -No user interaction -``` - -**For training:** Solo mode is simpler. Normal mode requires user simulation. -**For evaluatoin:** Both modes are valid in the leaderboard. Using an agent is more challenging and usually has lower score: https://taubench.com/#leaderboard - - ---- - -## Part 1: The Fundamentals - -### What is Tool Calling? - -**Tool calling** is when a language model can invoke external functions/APIs instead of just generating text. - -**Simple Example:** - -``` -User: "What's the weather in NYC?" - -WITHOUT tool calling: -Model: "I don't have access to real-time weather data..." - -WITH tool calling: -Model: get_weather(location="NYC") # this gets parsed and executed -System: Returns "72°F, sunny" -Model: "It's 72°F and sunny in NYC!" -``` - -**Tool Definition Example (from Tau2 Mock domain):** - -**📁 Code Reference:** `tau2-bench/src/tau2/domains/mock/tools.py:14-40` - -```python -def create_task(user_id: str, title: str, description: str = None) -> Task: - """ - Create a new task for a user. - - Args: - user_id: The ID of the user creating the task - title: The title of the task - description: Optional description of the task - - Returns: - The created task - """ - task_id = f"task_{len(db.tasks) + 1}" - task = Task(task_id=task_id, title=title, description=description, status="pending") - db.tasks[task_id] = task - return task -``` - -The tool description can be converted to an OpenAI-style tool schema and displayed in the system prompt, so models know which tools are available and how to call them: - -```json -{ - "type": "function", - "function": { - "name": "create_task", - "description": "Create a new task for a user.", - "parameters": { - "type": "object", - "properties": { - "user_id": {"type": "string", "description": "The ID of the user creating the task"}, - "title": {"type": "string", "description": "The title of the task"}, - "description": {"type": "string", "description": "Optional description of the task"} - }, - "required": ["user_id", "title"] - } - } -} -``` - ---- - -### What is Multi-turn? - -**Multi-turn** means a conversation or interaction that spans multiple back-and-forth exchanges (turns). - -**Visual Comparison:** - -``` -SINGLE-TURN (Current Forge GRPO): -┌─────────────┐ -│ User Prompt │ → Model generates response → Episode ends -└─────────────┘ - -MULTI-TURN (What we need): -┌─────────────┐ -│ User Prompt │ → Model response → Tool execution → Model response → Tool execution → ... → Done -└─────────────┘ - Turn 1 Turn 2 Turn 3 Turn 4 Turn 5 -``` - -**NOTE**: Tau2bench ha a "SOLO" mode, as described above, where the agent interacts with the system by calling tools until the task is completed. Another mode, with solo=False, an LLM can act as an user. In their benchmark, results can be posted in both ways. For our implementation, I suggest we use solo=True. Leaderboard link: https://taubench.com/#leaderboard - -**Concrete Example:** -``` -Turn 1: - User: "Create a task called 'Important Meeting' for user_1" - -Turn 2: - Assistant: - -Turn 3: - System (Tool): Returns Task(task_id="task_2", title="Important Meeting", status="pending") - -Turn 4: - Assistant: "I've created the task 'Important Meeting' for you." - -Turn 5: - User: "Great! Now mark it as completed." - -Turn 6: - Assistant: - -Turn 7: - System (Tool): Returns Task(task_id="task_2", title="Important Meeting", status="completed") - -Turn 8: - Assistant: "Done! Task_2 is now marked as completed." -``` - -**Key Insight:** Each turn builds on the conversation history. The model needs to see all previous turns to understand context. - ---- - -### Message Format (OpenAI Standard) - -Multi-turn conversations are represented as a list of messages: - -```python -messages = [ - {"role": "system", "content": "You are a helpful task management assistant."}, - {"role": "user", "content": "Create a task called 'Important Meeting' for user_1"}, - { - "role": "assistant", - "content": None, - "tool_calls": [{ - "id": "call_123", - "type": "function", - "function": { - "name": "create_task", - "arguments": '{"user_id": "user_1", "title": "Important Meeting"}' - } - }] - }, - { - "role": "tool", - "content": '{"task_id": "task_2", "title": "Important Meeting", "status": "pending"}', - "tool_call_id": "call_123" - }, - { - "role": "assistant", - "content": "I've created the task 'Important Meeting' for you. It's task_2." - } -] -``` - -**Message Roles:** -- `system` - Instructions for the model -- `user` - Human input -- `assistant` - Model's response (can be text or tool calls) -- `tool` - Result from tool execution - ---- - -### Two Approaches to Tool Calling - -**Approach 1: Native Function Calling (vLLM, OpenAI)** - -The model is trained to output structured tool calls: - -```python -# Model output is automatically parsed -response = { - "content": None, - "tool_calls": [{ - "function": { - "name": "create_task", - "arguments": '{"user_id": "user_1", "title": "Meeting"}' - } - }] -} -``` ---- - -**Approach 2: Text-Based Parsing (BlackJack pattern)** - -The model outputs text, and you parse it: - -```python -# Model output is plain text -response_text = "create_task(user_id='user_1', title='Meeting')" - -# You parse it -import re -match = re.search(r'(\w+)\((.*)\)', response_text) -if match: - function_name = match.group(1) - # Parse arguments... -``` - - ---- - -## Part 3: How Forge Currently Works - -### Current Forge GRPO Flow (GSM8K Example) - -Forge currently does **single-turn** training on math problems: - -```python -# apps/grpo/main.py - Simplified - -# 1. Sample a math problem -prompt = "What is 25 * 4?" -target = "100" - -# 2. Generate G responses using vllm -responses = await policy.generate(prompt, num_responses=G) # G=8 typically -# responses = ["100", "100", "99", "100", "100", "101", "100", "100"] - -# 3. Score each response -rewards = [] -for response in responses: - reward = 1.0 if extract_answer(response) == target else 0.0 - rewards.append(reward) -# rewards = [1.0, 1.0, 0.0, 1.0, 1.0, 0.0, 1.0, 1.0] - -# 4. Get reference logprobs (for KL penalty) -ref_logprobs = await ref_model.forward(prompt, responses) - -# 5. Compute advantages (group-relative), i.e. z-score normalized -# so we reward better answers and penalize worse ones -advantages = [] -for i, reward in enumerate(rewards): - advantage = reward - mean(rewards) # Group-relative - advantages.append(advantage) -# advantages = [0.125, 0.125, -0.875, 0.125, 0.125, -0.875, 0.125, 0.125] - -# 6. Create episodes -episodes = [] -for i in range(G): - episode = Episode( - prompt=prompt, - response=responses[i], - reward=rewards[i], - advantage=advantages[i], - ref_logprobs=ref_logprobs[i] - ) - episodes.append(episode) - -# 7. Add to replay buffer -await replay_buffer.add(episodes) - -# 8. Training loop samples from buffer and trains -batch = await replay_buffer.sample(batch_size=32) -loss = grpo_loss(batch) -trainer.train_step(loss) -``` - -**Summary:** - -We currently have: Single prompt → single response -[ ] No multi-turn support -[ ] No tool calling - ---- - -### What Forge is Missing for Tool Calling - -**Missing Pieces:** - -1. **Tool Definition System** - [ ] Need to define available tools - [ ] Convert to OpenAI schema format - [ ] Pass to vLLM during generation - -2. **Response Parsing** - [ ] Detect if response contains tool calls - [ ] Parse tool name and arguments - [ ] Handle both text format and native function calling - -3. **Multi-turn Loop** - [ ] Keep conversation history - [ ] Execute tool calls - [ ] Add tool results to history - [ ] Continue generating until done - -4. **Episode Structure for Multi-turn** - [ ] Track which tokens are LLM-generated vs tool results - [ ] Response mask (train only on LLM tokens, not tool results) - [ ] Multiple turns per episode - -5. **Environment Integration** - [ ] Connect to OpenEnv (or other environment) - [ ] Execute tool calls in sandboxed environment - [ ] Get rewards from environment - ---- - -## Part 4: How Other Libraries Do It - -### Pattern 1: OpenEnv BlackJack (Simplest, Proven with Forge) - -**📁 Code Reference:** `OpenEnv/examples/grpo_blackjack/grpo_utils.py` (search for `async def play_game`) - -```python -async def play_game(game_id, server_url, policy, tokenizer): - """Play a full BlackJack game, returning all steps.""" - - # 1. Initialize environment - env = OpenSpielEnv(base_url=server_url) - result = env.reset() # Start game - - # 2. Game loop - step_num = 0 - action_history = [] - game_steps = [] - done = False - - while not done and step_num < MAX_STEPS: - # 3. Format prompt with game state - prompt = format_prompt(step_num, action_history, tokenizer) - - # 4. Generate response - response = await policy.generate(prompt) - - # 5. Parse action from text - action_id = parse_action(response.text, obs.legal_actions) - # response.text might be "HIT" or "I choose to STAND" - # parse_action extracts: 0 (HIT) or 1 (STAND) - - # 6. Store step data - game_steps.append({ - "step_num": step_num, - "prompt": prompt, - "response": response, - }) - - # 7. Execute action in environment - result = env.step(OpenSpielAction(action_id=action_id)) - obs = result.observation - done = result.done - - action_history.append((action_id, "HIT" if action_id == 0 else "STAND")) - step_num += 1 - - # 8. Get final reward - final_reward = result.reward # +1 (win), -1 (loss), 0 (push) - - # 9. Assign final reward to ALL steps - all_step_results = [] - for step_data in game_steps: - all_step_results.append({ - "game_id": game_id, - "final_reward": final_reward, - **step_data, - }) - - return all_step_results -``` - -**Prompt Formatting:** - -**📁 Code Reference:** `OpenEnv/examples/grpo_blackjack/grpo_utils.py` - -```python -def format_prompt(step_num: int, action_history: list, tokenizer) -> str: - system = "You are an expert BlackJack player. Output only 'HIT' or 'STAND'." - - state_desc = f"=== BlackJack Game (Step {step_num + 1}) ===\n\n" - - # Include previous actions in prompt - if action_history: - state_desc += "Previous actions:\n" - for i, (_, name) in enumerate(action_history): - state_desc += f" {i + 1}. {name}\n" - state_desc += "\n" - - state_desc += "What do you do? (Output only 'HIT' or 'STAND')" - - # Use chat template - chat = [ - {"role": "system", "content": system}, - {"role": "user", "content": state_desc}, - ] - - return tokenizer.apply_chat_template(chat, tokenize=False, add_generation_prompt=True) -``` - -**Action Parsing:** - -**📁 Code Reference:** `OpenEnv/examples/grpo_blackjack/grpo_utils.py:205-229` - -```python -def parse_action(response_text: str, legal_actions: list[int]) -> int: - text_lower = response_text.lower().strip() - - if "hit" in text_lower: - action_id = 0 - elif "stand" in text_lower: - action_id = 1 - else: - action_id = 1 # Default: STAND - - # Ensure action is legal - if action_id not in legal_actions: - action_id = legal_actions[0] - - return action_id -``` - -**Episode Creation:** - -**📁 Code Reference:** `OpenEnv/examples/grpo_blackjack/grpo_utils.py` (in `continuous_rollouts` function) - -```python -# In continuous_rollouts: - -# Play {group_size} games -for game_idx in range(group_size): - game_id = str(uuid.uuid4())[:8] - step_results = await play_game(game_id, server_url, policy, tokenizer) - all_step_results.extend(step_results) - -# Create one episode PER STEP -episodes = [] -for step_result in all_step_results: - episode = Episode( - episode_id=str(uuid.uuid4()), - game_id=step_result["game_id"], - step_in_game=step_result["step_num"], - completion=step_result["response"], - # ... other fields - ) - - # Assign reward (final game reward for all steps) - episode.reward = step_result["final_reward"] - - episodes.append(episode) -``` - -**Key Takeaways:** - -✅ **Text parsing works** - No need for complex function calling -✅ **One episode per step** - Each step in the game is a separate episode -✅ **Final reward for all steps** - Sparse reward assigned to entire trajectory -✅ **Action history in prompts** - Model sees what it did before -✅ **Simple, proven pattern** - This works with Forge today! - ---- - -### Pattern 2: Verifiers ToolEnv (Production-Ready Tool Calling) - -**Location:** `/home/felipemello/forge/verifiers/verifiers/envs/tool_env.py` - -**Key Insight:** Clean API for tool calling with OpenAI-style function calling. - -**Defining Tools:** - -**📁 Code Reference:** See examples in `verifiers/environments/wiki_search/wiki_search.py:99-128` - -```python -# Just write normal Python functions with type hints! -async def search_wiki(query: str) -> list[str]: - """ - Search Wikipedia for relevant articles. - - Args: - query: The search query string. - - Returns: - List of article titles matching the query. - """ - results = await wikipedia_api.search(query) - return [article.title for article in results] - -# Convert to OpenAI schema automatically -tool_schema = convert_func_to_oai_tool(search_wiki) -``` - -**Multi-turn Rollout Loop:** - -**📁 Code Reference:** `verifiers/verifiers/envs/multiturn_env.py:55-149` - -```python -# verifiers/envs/multiturn_env.py (simplified) - -async def rollout(client, model, prompt, tools, max_turns=10): - """Generate a multi-turn rollout with tools.""" - - messages = [{"role": "user", "content": prompt}] - turn = 0 - - while turn < max_turns: - # 1. Call LLM with tools - response = await client.chat.completions.create( - model=model, - messages=messages, - tools=tools, # OpenAI tool schemas - ) - - # 2. Add assistant message - assistant_msg = { - "role": "assistant", - "content": response.choices[0].message.content - } - - # 3. Check for tool calls: append the tool calls -> execute -> append their results - if response.choices[0].message.tool_calls: - assistant_msg["tool_calls"] = [ - tc.model_dump() for tc in response.choices[0].message.tool_calls - ] - messages.append(assistant_msg) - - # 4. Execute tools - for tool_call in response.choices[0].message.tool_calls: - tool_name = tool_call.function.name - tool_args = json.loads(tool_call.function.arguments) - - # Execute the tool - result = await execute_tool(tool_name, tool_args) - - # Add tool result to messages - messages.append({ - "role": "tool", - "content": str(result), - "tool_call_id": tool_call.id - }) - else: - # No tool calls, episode done - messages.append(assistant_msg) - break - - turn += 1 - - return messages -``` - -**Tool Execution:** - -**📁 Code Reference:** `verifiers/verifiers/envs/tool_env.py:43-89` - -```python -class ToolEnv: - def __init__(self, tools: list[Callable]): - # Map function name to function - self.tool_map = {tool.__name__: tool for tool in tools} - - # Convert to OpenAI schemas - self.oai_tools = [convert_func_to_oai_tool(tool) for tool in tools] - - async def execute_tool(self, tool_name: str, arguments: dict): - """Execute a tool and return the result.""" - if tool_name not in self.tool_map: - raise ValueError(f"Unknown tool: {tool_name}") - - tool_func = self.tool_map[tool_name] - result = await tool_func(**arguments) - return result -``` - -**Key Takeaways:** - -✅ **Simple tool definition** - Just type-hinted Python functions -✅ **OpenAI-compatible** - Uses standard OpenAI API format -✅ **Clean loop structure** - Easy to understand and modify -✅ **Automatic schema generation** - No manual JSON writing -✅ **Production-ready** - Used by PRIME-RL and others - ---- - -### Pattern 3: VERL/NeMo-RL (Response Masking for Multi-turn) - -**📁 Code References:** -- VERL: `verl/` repository (see `4_examples_APIs.md` for details) -- NeMo-RL: `RL/` repository (see `4_examples_APIs.md` for details) -- Verifiers: `verifiers/verifiers/utils/processing_utils.py` (has `process_env_results_vllm`) - -**Key Insight:** When training on multi-turn with tools, you need to **mask out tool results** so the model only trains on its own generated tokens. - -**Why Masking Matters:** - -``` -Conversation: -[User] "Search for AI" -[Assistant] ← Train on this -[Tool] "Results: [AI article 1, 2, 3]" ← DON'T train on this (not model output) -[Assistant] "I found 3 articles..." ← Train on this - -Response Mask: -[1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1] - ↑ LLM tokens ↑ Tool result tokens ↑ LLM tokens -``` - -**Response Mask Pattern:** - -```python -# Building the response with mask -response_tokens = [] -response_mask = [] - -# Turn 1: Assistant generates tool call -assistant_tokens = tokenize("") -response_tokens.extend(assistant_tokens) -response_mask.extend([1] * len(assistant_tokens)) # Train on these - -# Turn 2: Tool result (not LLM output) -tool_result_tokens = tokenize("Results: [article 1, 2, 3]") -response_tokens.extend(tool_result_tokens) -response_mask.extend([0] * len(tool_result_tokens)) # DON'T train on these - -# Turn 3: Assistant responds -assistant_tokens_2 = tokenize("I found 3 articles about AI...") -response_tokens.extend(assistant_tokens_2) -response_mask.extend([1] * len(assistant_tokens_2)) # Train on these - -# In training: -loss = compute_loss(logits, response_tokens, response_mask) -# Only tokens with mask=1 contribute to loss -``` - -**Key Takeaways:** - -✅ **Critical for multi-turn** - Prevents training on tool outputs -✅ **Simple concept** - Just track which tokens are LLM vs system -✅ **Used by all production systems** - VERL, NeMo-RL, Verifiers - ---- - -### Pattern 4: Async vLLM for Pipelined Tool Calling (NeMo-RL) - -**📁 Code References:** -- NeMo-RL: `RL/` (see `4_examples_APIs.md` lines 660-1190 for full details) -- Sample-level concurrency: `RL/.../rollouts.py:780-936` -- vLLM async worker: `RL/.../vllm_worker_async.py:496-714` - -**Key Insight:** Use async/await pattern with sample-level concurrency so fast samples don't wait for slow ones. - -**The Problem with Synchronous:** - -``` -Batch of 4 samples: -Sample 1: Gen[██████] → Tool[████] → Gen[████] → Done -Sample 2: Gen[████] → Tool[██] → Gen[██] → Done -Sample 3: Gen[██] → Done -Sample 4: Gen[████████] → Tool[██████] → Gen[██] → Done - -Synchronous: Wait for ALL samples to finish each stage -Total time: Max(all samples) per stage -``` - -**Async Pattern:** - -```python -async def run_rollout_batch(samples): - # Create async task for each sample - tasks = [ - run_single_sample(sample) - for sample in samples - ] - - # Run ALL samples concurrently - results = await asyncio.gather(*tasks) - return results - -async def run_single_sample(sample): - """Each sample runs independently.""" - messages = [sample.initial_prompt] - - for turn in range(MAX_TURNS): - # Generate (async, doesn't block other samples) - response = await policy.generate(messages) - - # If tool call - if has_tool_call(response): - # Execute tool (async, doesn't block other samples) - result = await env.execute_tool(response.tool_call) - messages.append({"role": "tool", "content": result}) - else: - break - - return messages -``` - -**Benefits:** - -``` -Sample 1: Gen → Tool → Gen → Done -Sample 2: Gen → Tool → Gen → Done -Sample 3: Gen → Done -Sample 4: Gen → Tool → Gen → Done - -All happening CONCURRENTLY! -Total time: ~Max(single sample) not Sum(all samples) -``` - -**vLLM Configuration:** - -```yaml -policy: - vllm_cfg: - async_engine: true # Enable async mode -``` - -**Key Takeaways:** - -✅ **Massive speedup** - 4-8x faster for multi-turn with tools -✅ **Simple to implement** - Just use async/await -✅ **vLLM handles queuing** - Engine manages multiple in-flight requests -✅ **Essential for production** - All modern RL systems use this - ---- - -## Part 5: Implementation Plan for Forge - -### High-Level Strategy - -We'll adapt the **BlackJack pattern** (proven with Forge) and extend it for tool calling: - -1. ✅ **Start simple** - Text-based tool call parsing (like BlackJack parses "HIT"/"STAND") -2. ✅ **Reuse BlackJack structure** - `play_game()` becomes `play_task()` -3. ✅ **Add tool execution** - Execute tools in environment (OpenEnv or custom) -4. ✅ **Track message history** - Build conversation context for each turn -5. ✅ **Add response masking** - Mark which tokens to train on -6. 🔄 **Upgrade to async** - Use async pattern for performance (optional initially) -7. 🔄 **Add native function calling** - Use vLLM's built-in support (optional later) - ---- - -### API Design - -**Core Function: `play_task()`** - -**📁 Inspired by:** -- BlackJack's `play_game()`: `OpenEnv/examples/grpo_blackjack/grpo_utils.py` -- Verifiers' `rollout()`: `verifiers/verifiers/envs/multiturn_env.py:55-149` - -**⚠️ NEW CODE** - This needs to be implemented - -```python -async def play_task( - task_id: str, - task_prompt: str, - tools: list[dict], # OpenAI tool schemas - env: ToolEnv, # Environment with tool execution - policy: Generator, # Forge Generator - tokenizer, - max_turns: int = 10, -) -> list[dict]: - """ - Play a complete multi-turn task with tool calling. - - Returns: - List of step results, each containing: - - turn: int - - messages: list[dict] (conversation history at this turn) - - prompt: str (tokenized prompt for this turn) - - response: Completion (model response) - - response_mask: list[int] (1 for LLM tokens, 0 for tool results) - - is_final: bool (is this the last turn?) - """ - messages = [ - {"role": "system", "content": format_system_prompt(tools)}, - {"role": "user", "content": task_prompt} - ] - - task_steps = [] - turn = 0 - done = False - - while not done and turn < max_turns: - # 1. Format prompt from message history - prompt = tokenizer.apply_chat_template( - messages, - tokenize=False, - add_generation_prompt=True - ) - - # 2. Generate response - response = await policy.generate(prompt) - - # 3. Parse response (tool call or message) - parsed = parse_response(response.text) - - # 4. Track tokens for masking - response_mask = [1] * len(response.token_ids) # All LLM tokens - - if parsed["type"] == "tool_call": - # Tool call detected - tool_name = parsed["name"] - tool_args = parsed["arguments"] - - # Add assistant message with tool call - messages.append({ - "role": "assistant", - "content": response.text, - "tool_call": {"name": tool_name, "arguments": tool_args} - }) - - # Execute tool in environment - tool_result = await env.execute_tool(tool_name, tool_args) - - # Add tool result to messages - tool_message = {"role": "tool", "content": str(tool_result)} - messages.append(tool_message) - - # Extend response with tool result tokens (masked out) - tool_tokens = tokenizer.encode(str(tool_result)) - response_mask.extend([0] * len(tool_tokens)) # Don't train on tool results - - else: - # Regular message - messages.append({ - "role": "assistant", - "content": response.text - }) - done = True # Episode ends when model doesn't call tools - - # 5. Store step data - task_steps.append({ - "turn": turn, - "messages": list(messages), # Copy current state - "prompt": prompt, - "response": response, - "response_mask": response_mask, - "is_final": done, - }) - - turn += 1 - - # 6. Get final reward from environment - final_reward = await env.calculate_reward(messages, task_id) - - # 7. Assign final reward to all steps - for step in task_steps: - step["final_reward"] = final_reward - - return task_steps -``` - ---- - -### Response Parsing Function - -**📁 Inspired by:** -- BlackJack's `parse_action()`: `OpenEnv/examples/grpo_blackjack/grpo_utils.py:205-229` -- Tinker's parsing: `tinker-cookbook/tinker_cookbook/renderers.py` (search for parse_response) - -**⚠️ NEW CODE** - This needs to be implemented - -```python -def parse_response(response_text: str) -> dict: - """ - Parse model response to detect tool calls. - - Supports two formats: - 1. Function call syntax: "create_task(user_id='user_1', title='Meeting')" - 2. JSON format: '{"name": "create_task", "arguments": {"user_id": "user_1", ...}}' - - Returns: - { - "type": "tool_call" or "message", - "name": str (if tool_call), - "arguments": dict (if tool_call), - "text": str - } - """ - text = response_text.strip() - - # Try parsing as function call: func_name(arg1=val1, arg2=val2) - func_pattern = r'(\w+)\((.*?)\)' - match = re.search(func_pattern, text) - - if match: - func_name = match.group(1) - args_str = match.group(2) - - # Parse arguments - # Simple version: "key='value', key2='value2'" - arguments = {} - for arg in args_str.split(','): - if '=' in arg: - key, value = arg.split('=', 1) - key = key.strip() - value = value.strip().strip('"\'') - arguments[key] = value - - return { - "type": "tool_call", - "name": func_name, - "arguments": arguments, - "text": text - } - - # Try parsing as JSON - if text.startswith('{'): - try: - parsed = json.loads(text) - if "name" in parsed and "arguments" in parsed: - return { - "type": "tool_call", - "name": parsed["name"], - "arguments": parsed["arguments"], - "text": text - } - except json.JSONDecodeError: - pass - - # Default: regular message - return { - "type": "message", - "text": text - } -``` - -**Example Usage:** - -```python -# Input 1: Function syntax -response = "create_task(user_id='user_1', title='Important Meeting')" -parsed = parse_response(response) -# Output: { -# "type": "tool_call", -# "name": "create_task", -# "arguments": {"user_id": "user_1", "title": "Important Meeting"} -# } - -# Input 2: JSON format -response = '{"name": "create_task", "arguments": {"user_id": "user_1", "title": "Meeting"}}' -parsed = parse_response(response) -# Output: same as above - -# Input 3: Regular message -response = "I've created the task for you!" -parsed = parse_response(response) -# Output: {"type": "message", "text": "I've created the task for you!"} -``` - ---- - -### System Prompt for Tool Calling - -**📁 Inspired by:** -- Tinker system prompts: `tinker-cookbook/tinker_cookbook/recipes/tool_use/search/train.py` (search for SYSTEM_PROMPT) -- Verifiers tool formatting: How it formats tools in prompts - -**⚠️ NEW CODE** - This needs to be implemented - -```python -def format_system_prompt(tools: list[dict]) -> str: - """Format system prompt with tool definitions.""" - - prompt = """You are a helpful assistant that can use tools to complete tasks. - -When you need to use a tool, call it using this format: -tool_name(argument1='value1', argument2='value2') - -Available tools: -""" - - # Add each tool - for tool in tools: - func = tool["function"] - prompt += f"\n{func['name']}(" - - # Add parameters - params = func["parameters"]["properties"] - required = func["parameters"].get("required", []) - - param_strs = [] - for param_name, param_info in params.items(): - param_str = param_name - if param_name in required: - param_str += " (required)" - param_strs.append(param_str) - - prompt += ", ".join(param_strs) - prompt += f")\n Description: {func['description']}\n" - - prompt += """ -Examples: -- To create a task: create_task(user_id='user_1', title='Important Meeting') -- To update status: update_task_status(task_id='task_2', status='completed') - -When you're done with the task, just respond with a regular message (no tool call). -""" - - return prompt -``` - ---- - -### Tool Environment (Simple Version) - -**📁 Inspired by:** -- Verifiers ToolEnv: `verifiers/verifiers/envs/tool_env.py:43-89` -- Tool schema conversion: `verifiers/verifiers/utils/tool_utils.py` (search for `convert_func_to_oai_tool`) - -**⚠️ NEW CODE** - Simplified version for prototyping - -```python -class SimpleToolEnv: - """Simple tool calling environment for training.""" - - def __init__(self, tools: list[Callable], reward_func: Callable): - """ - Args: - tools: List of Python functions to use as tools - reward_func: Function that calculates reward from conversation - """ - # Map function name to function - self.tool_map = {tool.__name__: tool for tool in tools} - - # Convert to OpenAI schemas - self.tool_schemas = [self._func_to_schema(tool) for tool in tools] - - self.reward_func = reward_func - - def _func_to_schema(self, func: Callable) -> dict: - """Convert Python function to OpenAI tool schema.""" - # Use inspect to get signature - sig = inspect.signature(func) - doc = inspect.getdoc(func) or "" - - params = {} - required = [] - - for param_name, param in sig.parameters.items(): - # Get type hint - param_type = param.annotation - if param_type == str: - params[param_name] = {"type": "string"} - elif param_type == int: - params[param_name] = {"type": "integer"} - # ... handle other types - - # Check if required - if param.default == inspect.Parameter.empty: - required.append(param_name) - - return { - "type": "function", - "function": { - "name": func.__name__, - "description": doc, - "parameters": { - "type": "object", - "properties": params, - "required": required - } - } - } - - async def execute_tool(self, tool_name: str, arguments: dict) -> str: - """Execute a tool and return the result.""" - if tool_name not in self.tool_map: - return f"Error: Unknown tool '{tool_name}'" - - try: - tool_func = self.tool_map[tool_name] - - # Execute the tool - if asyncio.iscoroutinefunction(tool_func): - result = await tool_func(**arguments) - else: - result = tool_func(**arguments) - - return str(result) - except Exception as e: - return f"Error executing {tool_name}: {str(e)}" - - async def calculate_reward(self, messages: list[dict], task_id: str) -> float: - """Calculate final reward for the episode.""" - return await self.reward_func(messages, task_id) -``` - -**Example Tools:** - -**📁 Inspired by:** Tau2 mock tools at `tau2-bench/src/tau2/domains/mock/tools.py` - -```python -# Define simple tools -def mock_create_task(user_id: str, title: str) -> str: - """Create a new task for a user.""" - task_id = f"task_{random.randint(1, 100)}" - return f"Created task '{title}' with ID {task_id}" - -def mock_update_status(task_id: str, status: str) -> str: - """Update task status.""" - return f"Task {task_id} status updated to {status}" - -# Reward function -async def simple_reward(messages: list[dict], task_id: str) -> float: - """Simple reward: 1.0 if task completed, 0.0 otherwise.""" - - # Check if create_task was called - created = any( - msg.get("tool_call", {}).get("name") == "mock_create_task" - for msg in messages if msg.get("role") == "assistant" - ) - - # Check if update_status was called - updated = any( - msg.get("tool_call", {}).get("name") == "mock_update_status" - for msg in messages if msg.get("role") == "assistant" - ) - - # Reward if both tools were called - return 1.0 if (created and updated) else 0.0 - -# Create environment -env = SimpleToolEnv( - tools=[mock_create_task, mock_update_status], - reward_func=simple_reward -) -``` - ---- - -### Updated Episode Structure - -**📁 Based on:** -- Current Episode: `OpenEnv/examples/grpo_blackjack/grpo_utils.py:47-60` -- Response mask pattern: See VERL/NeMo-RL examples in `4_examples_APIs.md` - -**⚠️ MODIFIED CODE** - Extends existing Episode with multi-turn fields - -```python -@dataclass -class Episode: - """Episode data for multi-turn tool calling RL training.""" - - episode_id: str - pad_id: int - request_len: int - response_len: int - - # Multi-turn specific - task_id: str # Which task this is from - turn_in_task: int # Which turn in the task (0, 1, 2, ...) - - # Standard fields - completion: Completion # Contains prompt_ids, token_ids, logprobs - ref_logprobs: torch.Tensor - reward: float - advantage: float - - # NEW: Response mask - response_mask: torch.Tensor | None = None # 1=train on, 0=ignore (tool results) - - @property - def masked_response_tensor(self) -> torch.Tensor: - """Get response tensor with padding.""" - response_tokens = torch.tensor(self.completion.token_ids, dtype=torch.long) - - # Pad to response_len - if response_tokens.shape[0] < self.response_len: - diff = self.response_len - response_tokens.shape[0] - response_tokens = F.pad(response_tokens, (0, diff), value=self.pad_id) - - return response_tokens - - @property - def mask_tensor(self) -> torch.Tensor: - """Get mask tensor with padding.""" - if self.response_mask is None: - # No mask, train on all tokens - mask = torch.ones(len(self.completion.token_ids), dtype=torch.long) - else: - mask = self.response_mask - - # Pad to response_len - if mask.shape[0] < self.response_len: - diff = self.response_len - mask.shape[0] - mask = F.pad(mask, (0, diff), value=0) # Padding is masked out - - return mask -``` - ---- - -### Integration with Forge GRPO - -**📁 Based on:** -- Current rollouts: `OpenEnv/examples/grpo_blackjack/grpo_utils.py` (search for `continuous_rollouts`) -- Main GRPO: `apps/grpo/main.py` - -**⚠️ MODIFIED CODE** - Extends existing continuous_rollouts for tool calling - -**Updated `continuous_rollouts`:** - -```python -async def continuous_rollouts( - policy: Generator, - replay_buffer: ReplayBuffer, - reward_actor: RewardActor, - ref_model: ReferenceModel, - env: SimpleToolEnv, - tokenizer, - group_size: int = 8, -): - """Continuous rollout loop with tool calling.""" - - while True: - # Sample tasks - tasks = sample_tasks(group_size) # Get G different tasks - - # Play all tasks - all_step_results = [] - for task in tasks: - task_id = task["id"] - task_prompt = task["prompt"] - - # Play the task (multi-turn) - step_results = await play_task( - task_id=task_id, - task_prompt=task_prompt, - tools=env.tool_schemas, - env=env, - policy=policy, - tokenizer=tokenizer, - max_turns=10 - ) - - all_step_results.extend(step_results) - - # Create episodes (one per turn) - episodes = [] - for step_result in all_step_results: - episode = Episode( - episode_id=str(uuid.uuid4()), - pad_id=tokenizer.pad_token_id, - request_len=MAX_REQUEST_TOKENS, - response_len=MAX_RESPONSE_TOKENS, - task_id=step_result["task_id"], - turn_in_task=step_result["turn"], - completion=step_result["response"], - response_mask=torch.tensor(step_result["response_mask"]), - ) - - # Simple reward (could add shaping) - episode.reward = step_result["final_reward"] - - episodes.append(episode) - - # Get reference logprobs - input_ids = [tokenizer.encode(ep.completion.prompt) for ep in episodes] - ref_logprobs = await ref_model.forward(input_ids, return_logprobs=True) - for i, episode in enumerate(episodes): - episode.ref_logprobs = ref_logprobs[i] - - # Compute advantages (group-relative) - # Group by task_id to compare different trajectories of same task - task_groups = {} - for episode in episodes: - if episode.task_id not in task_groups: - task_groups[episode.task_id] = [] - task_groups[episode.task_id].append(episode) - - for task_id, task_episodes in task_groups.items(): - rewards = [ep.reward for ep in task_episodes] - mean_reward = sum(rewards) / len(rewards) - - for episode in task_episodes: - episode.advantage = episode.reward - mean_reward - - # Add to replay buffer - for episode in episodes: - await replay_buffer.add(episode) -``` - ---- - -### Updated GRPO Loss (with masking) - -**📁 Based on:** -- Current GRPO loss: `OpenEnv/examples/grpo_blackjack/grpo_utils.py:125-150` (`simple_grpo_loss`) -- Response masking pattern: See VERL in `4_examples_APIs.md:599-615` - -**⚠️ MODIFIED CODE** - Adds response_mask parameter to existing loss - -```python -def grpo_loss_with_masking( - logits: torch.Tensor, - response: torch.Tensor, - response_mask: torch.Tensor, # NEW! - ref_logprobs: torch.Tensor, - advantages: torch.Tensor, - padding_mask: torch.Tensor, - beta: float = 0.1, -) -> torch.Tensor: - """ - GRPO loss with response masking for multi-turn. - - Args: - logits: Model logits [batch, seq_len, vocab_size] - response: Response tokens [batch, seq_len] - response_mask: Which tokens to train on [batch, seq_len] (1=train, 0=ignore) - ref_logprobs: Reference model log probabilities [batch, seq_len] - advantages: Normalized advantages [batch, 1] - padding_mask: Mask for padded tokens [batch, seq_len] - beta: KL penalty coefficient - - Returns: - Scalar loss value - """ - # Compute log probabilities - logprobs = compute_logprobs(logits, response) - - # KL divergence - kl = torch.exp(ref_logprobs - logprobs) - (ref_logprobs - logprobs) - 1 - - # Policy loss - policy_loss = -logprobs * advantages - - # Total loss per token - loss_per_token = policy_loss + beta * kl - - # IMPORTANT: Combine padding_mask AND response_mask - combined_mask = padding_mask * response_mask # Both must be 1 - - # Apply combined mask - masked_loss = loss_per_token * combined_mask - - # Average over non-masked tokens - loss = masked_loss.sum() / combined_mask.sum() - - return loss -``` - -**Key Difference:** `response_mask` zeros out tool result tokens, so we only train on LLM-generated tokens. - ---- - -## Part 6: Performance & Async Patterns - -### Why Async Matters for Tool Calling - -**Synchronous Problem:** - -```python -# BAD: Blocks entire batch while waiting for tools -for sample in batch: - response = policy.generate(sample.prompt) # Blocks others - if has_tool_call(response): - result = env.execute_tool(response.tool_call) # Blocks others! - ... -``` - -**With async:** - -```python -# GOOD: All samples run independently -async def process_sample(sample): - response = await policy.generate(sample.prompt) # Doesn't block - if has_tool_call(response): - result = await env.execute_tool(response.tool_call) # Doesn't block! - ... - -# Run all samples concurrently -results = await asyncio.gather(*[process_sample(s) for s in batch]) -``` - -**Speedup Example:** - -``` -Synchronous (4 samples, each takes 10s): -Sample 1 → 10s → Sample 2 → 10s → Sample 3 → 10s → Sample 4 → 10s -Total: 40 seconds - -Asynchronous (all 4 samples in parallel): -Sample 1 ┐ -Sample 2 ├ All run together → 10s -Sample 3 ┤ -Sample 4 ┘ -Total: ~10 seconds (4x speedup!) -``` - ---- - -### Enabling Async in Forge Generator - -**Step 1: Enable vLLM async engine** - -**📁 Code Reference:** -- Generator setup: `src/forge/actors/generator.py:71-99` -- NeMo-RL async config: See `4_examples_APIs.md:680-689` - -```python -# In your config -engine_args = EngineArgs( - model="meta-llama/Llama-3.1-8B-Instruct", - # ... other args -) - -# When creating Generator -generator = await Generator.options( - procs=1, - num_replicas=1, - with_gpus=True -).as_service( - engine_args=engine_args, - sampling_params=SamplingParams(temperature=0.7, max_tokens=512), -) -``` - -**Note:** Forge's Generator already supports async! You just need to use `await` when calling it. - ---- - -**Step 2: Make `play_task` async** - -```python -async def play_task(task_id, task_prompt, tools, env, policy, tokenizer, max_turns=10): - """Already async in our implementation above!""" - messages = [{"role": "user", "content": task_prompt}] - - for turn in range(max_turns): - # Async generation - response = await policy.generate(prompt) # await here! - - # Async tool execution - if has_tool_call(parsed): - result = await env.execute_tool(...) # await here! - ... -``` - ---- - -**Step 3: Run multiple tasks concurrently** - -**📁 Code Reference:** See NeMo-RL pattern in `4_examples_APIs.md:719-735` (`run_async_multi_turn_rollout`) - -```python -async def continuous_rollouts(...): - while True: - # Sample G tasks - tasks = sample_tasks(group_size) - - # Create tasks for all - task_coroutines = [ - play_task( - task_id=task["id"], - task_prompt=task["prompt"], - tools=env.tool_schemas, - env=env, - policy=policy, - tokenizer=tokenizer, - ) - for task in tasks - ] - - # Run ALL tasks concurrently - all_step_results_per_task = await asyncio.gather(*task_coroutines) - - # Flatten results - all_step_results = [] - for step_results in all_step_results_per_task: - all_step_results.extend(step_results) - - # Continue with episode creation... -``` - ---- - -### Performance Best Practices - -**1. Use async/await everywhere** - -**📁 Code Reference:** NeMo-RL async patterns in `4_examples_APIs.md:803-830` - -```python -# BAD -def execute_tool(self, tool_name, args): - return tool_func(**args) # Blocks - -# GOOD -async def execute_tool(self, tool_name, args): - if asyncio.iscoroutinefunction(tool_func): - return await tool_func(**args) - else: - # Run sync function in executor to avoid blocking - loop = asyncio.get_event_loop() - return await loop.run_in_executor(None, tool_func, **args) -``` - ---- - -**2. Batch reference model calls** - -```python -# BAD: One call per episode -for episode in episodes: - ref_logprobs = await ref_model.forward(episode.prompt) - episode.ref_logprobs = ref_logprobs - -# GOOD: Batch all episodes -all_prompts = [ep.completion.prompt for ep in episodes] -all_ref_logprobs = await ref_model.forward(all_prompts) # Single batched call -for episode, ref_logprobs in zip(episodes, all_ref_logprobs): - episode.ref_logprobs = ref_logprobs -``` - ---- - -**3. Pipeline rollouts and training** - -```python -# BAD: Wait for all rollouts before training -rollouts = await collect_rollouts() -await train_on_rollouts(rollouts) - -# GOOD: Start training as soon as buffer has enough samples -async def rollout_loop(): - while True: - rollouts = await collect_rollouts() - await replay_buffer.add(rollouts) - -async def training_loop(): - while True: - if replay_buffer.size() >= min_size: - batch = await replay_buffer.sample() - await trainer.train_step(batch) - await asyncio.sleep(0.1) - -# Run both concurrently -await asyncio.gather(rollout_loop(), training_loop()) -``` - ---- - -## Part 7: What's Already Supported vs What Needs to Be Added - -### Already Supported in Forge ✅ - -**1. vLLM Async Generation** -- ✅ Forge Generator already uses vLLM v1 -- ✅ Async generation works out of the box -- ✅ `await policy.generate(prompt)` is already async - -**2. Multi-GPU and Distributed Training** -- ✅ Monarch handles distributed coordination -- ✅ Generator, Trainer, ReplayBuffer can run on different GPUs -- ✅ Weight syncing via torchstore - -**3. GRPO Algorithm** -- ✅ Group-relative advantages -- ✅ KL penalty with reference model -- ✅ Replay buffer with sampling -- ✅ Async training loop - -**4. Episode Management** -- ✅ Episode dataclass structure -- ✅ Collation for batching -- ✅ Tokenization and padding - -**5. OpenEnv Integration** -- ✅ BlackJack example shows it works! -- ✅ HTTP-based environment communication -- ✅ Async environment calls (with wrapper) - ---- - -### What Needs to Be Added ⚠️ - -**1. Response Parsing for Tool Calls** - -**What:** Function to detect and parse tool calls from model output - -**Complexity:** Low (see Part 5 for implementation) - -**Example:** -```python -def parse_response(response_text: str) -> dict: - # Detect: create_task(user_id='user_1', title='Meeting') - # Return: {"type": "tool_call", "name": "create_task", "arguments": {...}} -``` - -**Status:** ❌ Not implemented -**Effort:** ~1-2 hours -**File:** Can be in `grpo_utils.py` or new `tool_calling_utils.py` - ---- - -**2. Multi-turn Rollout Loop** - -**What:** `play_task()` function (like `play_game()` in BlackJack) - -**Complexity:** Medium - -**Status:** ❌ Not implemented (but BlackJack provides template!) -**Effort:** ~4-6 hours -**File:** `grpo_utils.py` or new `tool_calling_rollouts.py` - -**Implementation:** See Part 5, "API Design" section - ---- - -**3. Tool Environment** - -**What:** Environment that executes tools and returns results - -**Complexity:** Medium-High (depends on tools) - -**Options:** - -**Option A:** Use existing OpenEnv environment -- ✅ Already has Docker sandboxing -- ❌ May not have tool calling support yet -- **Effort:** Check if OpenEnv has tool env, otherwise 8-12 hours to build - -**Option B:** Build simple mock environment -- ✅ Easiest to get started -- ❌ Not realistic for production -- **Effort:** 2-4 hours -- **Implementation:** See Part 5, "Tool Environment (Simple Version)" - -**Option C:** Integrate Verifiers ToolEnv -- ✅ Production-ready, clean API -- ✅ Tool schema generation built-in -- ❌ Another dependency -- **Effort:** 4-6 hours integration - -**Recommendation:** Start with Option B (mock), upgrade to Option C (Verifiers) later - -**Status:** ❌ Not implemented -**File:** `tool_env.py` - ---- - -**4. Response Masking** - -**What:** Track which tokens are LLM output vs tool results - -**Complexity:** Medium - -**Status:** ❌ Not implemented -**Effort:** 3-4 hours - -**What needs to change:** -1. Add `response_mask` field to Episode dataclass (✅ shown in Part 5) -2. Track mask during rollout (✅ shown in Part 5) -3. Update GRPO loss to use mask (✅ shown in Part 5) - -**Files to modify:** -- `Episode` dataclass -- `play_task()` function -- `grpo_loss()` function - ---- - -**5. Tool Schema Generation** - -**What:** Convert Python functions to OpenAI tool schemas - -**Complexity:** Medium - -**Status:** ❌ Not implemented (but can copy from Verifiers!) -**Effort:** 2-3 hours - -**Implementation:** -```python -def func_to_schema(func: Callable) -> dict: - # Use inspect.signature, inspect.getdoc - # Return OpenAI tool schema -``` - -**Recommendation:** Copy from Verifiers library (it's well-tested) - ---- - -**6. System Prompt Formatting** - -**What:** Format system prompt with tool definitions - -**Complexity:** Low - -**Status:** ❌ Not implemented -**Effort:** 1-2 hours - -**Implementation:** See Part 5, "System Prompt for Tool Calling" - ---- - -**7. vLLM Native Tool Calling Support (Optional)** - -**What:** Use vLLM's built-in function calling instead of text parsing - -**Complexity:** Medium-High - -**Status:** ❌ Not implemented (not needed initially!) -**Effort:** 6-8 hours - -**vLLM Config:** -```python -engine_args = EngineArgs( - model="...", - enable_auto_tool_choice=True, # Enable native tool calling - tool_call_parser="hermes", # Parser type -) -``` - -**Recommendation:** Skip initially, use text parsing. Add later if needed. - ---- - -**8. Tau2 Evaluation Integration** - -**What:** Run trained model on Tau2Bench for evaluation - -**Complexity:** Medium - -**Status:** ❌ Not implemented -**Effort:** 4-6 hours - -**Two approaches:** - -**Approach A:** Use Tau2 CLI -```bash -tau2 run --domain mock --agent-llm /path/to/checkpoint -``` -Need to figure out how to point Tau2 to local model. - -**Approach B:** Use Tau2's gym interface programmatically -```python -import gymnasium as gym -from tau2.gym import register_gym_agent - -env = gym.make("Tau-v0", domain="mock") -# Run evaluation loop -``` - -**Recommendation:** Start with Approach A (simpler) - ---- - -### Summary: Implementation Checklist - -**Phase 1: Minimum Viable Tool Calling (1-2 days)** - -- [ ] 1. Implement `parse_response()` function (1-2 hours) -- [ ] 2. Implement `SimpleToolEnv` with mock tools (2-4 hours) -- [ ] 3. Implement `play_task()` function (4-6 hours) -- [ ] 4. Test end-to-end on simple task (2-3 hours) - -**Phase 2: Integration with Forge GRPO (2-3 days)** - -- [ ] 5. Add `response_mask` to Episode (1 hour) -- [ ] 6. Update `continuous_rollouts` to use `play_task()` (2-3 hours) -- [ ] 7. Update GRPO loss with masking (2-3 hours) -- [ ] 8. Test training loop (4-6 hours) - -**Phase 3: Production-Ready (3-5 days)** - -- [ ] 9. Implement proper tool schema generation (2-3 hours) -- [ ] 10. Add system prompt formatting (1-2 hours) -- [ ] 11. Integrate Verifiers ToolEnv or build OpenEnv tool env (8-12 hours) -- [ ] 12. Add comprehensive logging and metrics (4-6 hours) - -**Phase 4: Evaluation (1-2 days)** - -- [ ] 13. Figure out Tau2 local model evaluation (2-4 hours) -- [ ] 14. Create evaluation script (2-3 hours) -- [ ] 15. Run full evaluation on Tau2 mock domain (2-4 hours) - -**Total Estimated Effort:** 2-3 weeks for full implementation - ---- - -## Appendix: Quick Reference - -### Key Files to Create/Modify - -**New Files:** -- `tool_calling_utils.py` - Response parsing, tool schemas -- `tool_env.py` - Tool execution environment -- `tool_calling_rollouts.py` - `play_task()` implementation - -**Files to Modify:** -- `apps/grpo/main.py` - Update `continuous_rollouts` -- `grpo_utils.py` - Add response masking to Episode, update loss - ---- - -### Key Concepts Recap - -1. **Tool Calling** = Model invokes functions instead of just generating text -2. **Multi-turn** = Multiple back-and-forth exchanges in one episode -3. **Response Mask** = Track which tokens to train on (LLM) vs ignore (tools) -4. **Sparse Reward** = Reward only at episode end, not per turn -5. **Async Pattern** = Use async/await for concurrent sample processing - ---- - -### Next Steps - -1. **Start with BlackJack** - Understand how it works end-to-end -2. **Build Simple Mock Environment** - 2-3 tools, simple reward -3. **Prototype `play_task()`** - Single task, multi-turn, with tools -4. **Test Locally** - Run one episode, verify it works -5. **Integrate with GRPO** - Add to training loop -6. **Scale Up** - Add more tools, better reward functions -7. **Evaluate on Tau2** - Measure performance on benchmark - ---- - -### Questions to Answer Next - -1. **Which tool environment?** Mock, OpenEnv, or Verifiers? -2. **Text parsing or native function calling?** Start text, upgrade later? -3. **Reward function design?** Binary, shaped, or LLM-as-judge? -4. **Training tools = Tau2 tools?** Or different for generalization? - -See `3_open_questions.md` for detailed discussion of these questions. - ---- - -**End of Tutorial** - -You should now have a solid understanding of: -- What tool calling and multi-turn are -- How Tau2Bench works -- How Forge currently operates -- How other libraries implement these features -- What needs to be added to Forge -- How to implement it step by step - -Ready to start coding! 🚀 diff --git a/brainstorming_forge_tau/6_refactor_structure_for_doc_5.md b/brainstorming_forge_tau/6_refactor_structure_for_doc_5.md deleted file mode 100644 index 5766c68f9..000000000 --- a/brainstorming_forge_tau/6_refactor_structure_for_doc_5.md +++ /dev/null @@ -1,1029 +0,0 @@ -# Document 6: Tutorial Refactor Structure and Key Insights - -## Purpose -This document outlines the complete structure for refactoring `5_tutorial_multiturn_toolcalling.md` based on feedback. It includes: -1. Final section structure -2. Key insights and decisions from the discussion -3. Implementation notes for each section -4. Open questions to resolve during implementation - ---- - -## Section Structure - -### **Part 1: Tau2Bench Deep Dive (What Are We Building For?)** - -#### 1.1 What is Tau2Bench? -- **Changes**: Replace bullet points with concrete examples -- **Add**: Brief, tangible examples of what Tau2Bench tests -- **Keep it short**: 2-3 paragraphs max - -#### 1.2 Tau2 Modes -- **MOVED TO START** (was at end of section) -- Normal Mode (Agent + User Simulator) -- Solo Mode (Agent Only) -- **Add**: Which mode to use for training (recommendation: Solo) -- **Add**: Reference to leaderboard showing both modes - -#### 1.3 Tau2 Task Structure -- **Add**: What `transfer_to_human_agents` is for (comment that it signals end of turn) -- Keep existing JSON example - -#### 1.4 Tau2 Available Tools (Mock Domain) -- Keep existing - -#### 1.5 Example Multi-turn Interaction on Tau2 -- **Add**: Reference/note about stop keywords ("bye", "thanks") -- **Action**: Verify if this is actually in tau2bench or invented - -#### 1.6 How Tau2 Scores Episodes -- Keep existing structure -- ACTION, ENV, NL_ASSERTIONS criteria -- Final score computation - ---- - -### **Part 2: The Fundamentals** - -#### 2.1 What is Tool Calling? -- Keep existing simple example - -#### 2.2 Two Approaches to Tool Calling - -##### Approach 1: Native Function Calling (vLLM, OpenAI) -- **MAJOR ENHANCEMENT NEEDED** -- **Add**: Detailed explanation of how models output structured tool calls -- **Add**: What the model ACTUALLY outputs (token IDs that decode to special format) -- **Add**: Model-dependent nature - Qwen vs GPT vs Hermes have different formats -- **Add**: Who parses it (tokenizer/model vs vLLM vs library) -- **Add**: Example of raw model output and how it gets into `response.tool_calls` -- **Key insight**: This is MODEL-SPECIFIC and requires training/fine-tuning - -##### Approach 2: Text-Based Parsing (Tag-Based) -- **Add**: How Qwen does it with tags and parser (concrete example) -- **Add**: Mention this is approach 2 explicitly -- **Add**: Show actual parser code snippet -- **Note**: Still model-dependent (needs to be trained to output tags) - -#### 2.3 What is Multi-turn? -- Keep existing - -#### 2.4 Multi-turn Loop: A Simple Python Example -- **NEW SECTION** -- **Add**: Simple while loop showing the concept -```python -env = create_env() -messages = [] -done = False -while not done: - prompt = build_prompt(messages) - response = model.generate(prompt) - if has_tool_call(response): - tool_result = env.execute_tool(parse_tool_call(response)) - messages.append({"role": "tool", "content": tool_result}) - else: - messages.append({"role": "assistant", "content": response}) - done = True -reward = env.get_reward() -``` -- **Add**: Introduce environment concept here - -#### 2.5 What is an Environment? -- **NEW SECTION** -- **Add**: Why we need it (tool execution, state management, rewards) -- **Add**: What `.reset()` returns -- **Add**: What `.step()` returns -- **Add**: Relationship to tool execution - -#### 2.6 Message Format (OpenAI Standard) -- Keep existing - ---- - -### **Part 3: How Forge Currently Works** - -#### 3.1 Current Forge GRPO Flow (GSM8K Example) -- Keep existing - -#### 3.2 What Forge is Missing for Tool Calling -- Keep existing - ---- - -### **Part 4: Complete Multi-Turn Tool Calling Loop (Components)** - -#### 4.0 Generator Options: Internal vs External vLLM -- **NEW SECTION** -- **Option A**: Forge Generator (internal vLLM)  Recommended - - vLLM engine runs inside Forge as distributed actor - - Allocated to its own GPUs via Monarch - - Communication via async actor calls (not HTTP) - - What Forge currently does -- **Option B**: External vLLM Server (separate process) - - vLLM runs as independent HTTP server - - TRL's pattern: blocking HTTP requests to `localhost:8000/generate` - - Separate from training process - - Useful for debugging, exploration, separation of concerns -- **Option C**: Hybrid approach - - Use external for debugging - - Use internal for training -- **Note**: All examples will use Option A (Forge Generator), but Option B is valid for certain use cases -- **Add**: How to adapt patterns if using Option B (brief notes in each pattern) - -#### 4.1 Overview: The Complete Loop -- Keep existing conceptual code -- Ensure it references all 8 components below - -#### 4.2 Component 1: Episode Initialization -- **Add**: Code snippet for each option -- Options: env.reset() vs build from task -- Brief pros/cons - -#### 4.3 Component 2: Prompt Formatting with Tools -- **Option A**: Manual chat template (pattern from various libraries) -- **Option B**: Renderer pattern (Tinker) P **HIGHLIGHT TINKER'S APPROACH** - - Clean abstraction separating rendering from logic - - Reusable across tasks - - Easy to debug and test - - Show Tinker's Renderer class structure -- **Option C**: vLLM native tokenizer with tools param (Verifiers) -- **Add**: Code snippet for each -- **Add**: When to use each -- **Recommendation**: Consider Tinker's pattern for clean code - -#### 4.4 Component 3: Generation, Parsing, and Concurrency -- **MERGED** from old 4.4 + 4.10 -- **Subsections**: - - Calling the Generator (sync vs async) - - Forge Generator async API - - External vLLM HTTP API - - Parsing Tool Calls - - Text parsing (regex) - - Tag-based (Qwen with example) - - Native (vLLM auto-parsing) - - **vLLM Configuration Flags (ALL IN ONE PLACE)** - - `enable_auto_tool_choice: true` - enables native tool call parsing - - `tool_call_parser: "hermes"` - specifies parser format (hermes/mistral/llama) - - `async_engine: true` - enables AsyncLLM engine - - Where these go in config - - **Note**: Different for Option A (Forge config) vs Option B (vLLM server config) - - **Add**: Clarify `response.choices[0]` - why [0]? (Can request N samples, we take first) - - **Add**: Clarify `message.tool_calls` - who parsed it and put it there? (vLLM if native, or manual parsing) - - **Sample-Level Concurrency** - - asyncio.gather for parallel samples - - NeMo-RL per-sample async tasks pattern - - Performance implications - -#### 4.5 Component 4: Tool Execution -- Tool definition approaches - - Type-hinted Python functions (Verifiers, clean and simple) - - **Tinker's approach** P (show example) - - Manual schemas - - Environment actions (OpenEnv) -- Execution patterns - - Sequential vs Parallel (asyncio.gather) - - **Add**: Why parallel execution matters (or doesn't) - - Parallel good for: I/O-bound tools (API calls, database queries) - - Sequential OK for: Fast tools, debugging, simple cases -- Code examples - -#### 4.6 Component 5: Message History Management -- Explicit list pattern - - **Highlight Tinker's approach** P - - Clean, easy to debug - - Messages are first-class objects - - Easy to serialize/deserialize - - Used by: Tinker, VERL, Verifiers -- Concatenated storage (TRL, NeMo-RL) -- Token ID storage in messages (NeMo-RL approach) -- Pros/Cons comparison table - -#### 4.7 Component 6: Token Collection, Episode Storage, and Response Masking -- **MERGED** from old 4.7 + 4.8 -- **Subsections**: - - **Why Masking Matters** (MOVED HERE - general explanation, NOT pattern-specific) - - Don't train on tool results (not model-generated) - - Don't train on environment responses - - Only train on LLM-generated tokens - - Token Collection Strategies - - **Strategy A**: Per-step episodes (simpler, per-step credit assignment) - - **Strategy B**: Concatenated episodes (full trajectory in one sequence) - - Building the Response Mask - - During rollout (VERL, NeMo-RL examples) - - During processing (Verifiers, **Tinker** P) - - **Highlight Tinker's trajectorydata conversion** P - - Clean separation of rollout and data processing - - Mask built during data processing phase - - Reusable across different RL algorithms - - Episode Storage Patterns - -#### 4.8 Component 7: Reward Computation -- Sparse rewards (Tau2Bench, most RL benchmarks) -- Dense rewards (per-step shaping) -- Multiple reward signals (TRL pattern with multiple reward functions) - -#### 4.9 Component 8: Environment Integration -- **BRIEF comparison**: OpenEnv vs ToolEnv (small table only, 1-2 paragraphs max) -- **Note**: Core functions stay env-agnostic (env injected at app level) -- When to use each -- **Highlight**: Tinker's Environment API P - - Clean step/reset pattern - - Observation/Action abstraction - - StepResult structure - ---- - -### **Part 5: Architectural Patterns for Forge + Tau2Bench + OpenEnv** - -**CRITICAL NOTE**: All patterns use Forge stack: -- **Forge Generator** (internal vLLM via Monarch actors) - NOT external HTTP server (unless noted) -- **OpenEnv** for tool execution -- **Tau2Bench** for tasks/evaluation -- **vLLM** engine (internal to Forge Generator) - -**Pattern philosophy**: Show different ways to structure the LOOP in Forge, adapted from production libraries but compatible with Forge stack. - -**Note on external vLLM**: While examples use Forge Generator (Option A: internal vLLM), you can adapt them to use external vLLM server (Option B from Part 4.0) if needed for debugging or other use cases. - -#### 5.1 Pattern A: Simple Sequential + Token Concatenation (TRL-inspired) -- **Summary** (2 paragraphs) - - What it is: All turns concatenated into one sequence, trained as single episode - - When to use: Simplest implementation, good for prototyping, proven pattern -- **YAML Configuration Example** -- **Complete Code Walkthrough** (using Forge Generator, not external server) - - Show how TRL's `rollout_func` pattern can be adapted - - Token concatenation trick - - Episode creation -- **Adaptation Note**: How to use external vLLM server instead (brief) - - Replace Forge Generator calls with HTTP requests - - Same logic, different communication -- **Key Insights** - -#### 5.2 Pattern B: Clean Abstractions with Renderer (Tinker-inspired) P -- **Summary** - - What it is: Use Renderer pattern for prompt formatting, clean Environment API, trajectory processing - - **Highlight**: Tinker's clean API design philosophy - - When to use: Research projects, need reusability, want clean maintainable code -- **YAML Configuration Example** -- **Complete Code Walkthrough** - - **Renderer pattern** from Tinker - - `build_generation_prompt()` method - - `parse_response()` method - - Separation of concerns - - **Environment.step() API** from Tinker - - StepResult structure - - episode_done flag - - next_observation - - **Trajectory processing** from Tinker - - Trajectory dataclass - - Conversion to training data - - Response masking implementation -- **Key Insights** -- **Why this pattern**: Emphasize Tinker's design philosophy - - Modularity - - Testability - - Reusability - - Clean abstractions - -#### 5.3 Pattern C: State Machine + Async Parallel Tools (VERL-inspired) -- **Summary** - - What it is: Explicit state machine (PENDING GENERATING PROCESSING_TOOLS ...), parallel tool execution - - When to use: Complex tool workflows, need explicit state management -- **YAML Configuration Example** -- **Complete Code Walkthrough** (adapted for Forge + vLLM) - - State machine handlers - - Async parallel tool execution with asyncio.gather - - Skip SGLang-specific parts - - Adapt to use Forge Generator -- **Key Insights** -- **When to use**: Production systems with complex multi-step tool interactions - -#### 5.4 Pattern D: Async Sample-Level Pipelining (NeMo-RL inspired) -- **Summary** - - What it is: Each sample runs as independent async task, while one waits for tool, others continue generating - - When to use: Production system, maximum throughput, have variable-length episodes -- **YAML Configuration Example** - - Note: `async_engine: true` may not apply directly to Forge Generator - - Show Forge-specific async configuration if different -- **Complete Code Walkthrough** - - Per-sample async tasks with asyncio.gather - - Async tool execution that doesn't block other samples - - Using Forge Generator's async API -- **Why this pipelining matters** - - **Add**: Downsides/considerations (memory usage, complexity, debugging harder) - - **Add**: Source of 4-8x speedup numbers (cite NeMo-RL docs/code if available, or explain estimation) - - **Add**: How to control memory/batch size - - vLLM's `max_num_seqs` parameter - - GPU memory constraints - - Trade-offs between throughput and latency -- **Key Insights** -- **When to use**: Production scale, have tool execution latency, variable episode lengths - -#### 5.5 Pattern E: Native Tool Calling (Verifiers/PRIME-RL inspired) -- **Summary** - - What it is: Use vLLM's native tool calling support, clean tool definition with type hints - - When to use: Model supports native tool calling, want production-ready abstractions -- **YAML Configuration Example** - - `enable_auto_tool_choice: true` - - `tool_call_parser: "hermes"` (or appropriate for your model) -- **Complete Code Walkthrough** - - Clean tool definition (type-hinted Python functions) - - Automatic schema generation - - env.rollout pattern - - process_env_results for masking - - Using Forge Generator with these flags -- **Key Insights** -- **When to use**: - - Model is trained for native tool calling (e.g., fine-tuned with tool calling data) - - Want to avoid manual parsing - - Production system with well-defined tools - -**IMPLEMENTATION NOTE**: We have 5 patterns because: -1. **TRL's token concatenation** is fundamentally different (simplest approach) -2. **Tinker's renderer pattern** deserves dedicated coverage P (clean architecture) -3. **VERL's state machine** is a distinct approach (explicit state management) -4. **NeMo-RL's async pipelining** is unique (maximum performance) -5. **Verifiers' native tool calling** is production-ready (leverages vLLM features) - ---- - -### **Part 6: Implementation Plan for Forge** - -#### 6.1 High-Level Strategy -- Keep existing -- Start simple (Pattern A), add complexity as needed -- Focus on Tau2Bench compatibility - -#### 6.2 Overall System Context -- **Add**: YAML configuration example for full system - - Generator config - - Trainer config - - Replay buffer config - - Task sampling config -- **Add**: General rollout loop showing where play_task is called - - continuous_rollouts function structure - - Where multi-turn loop fits in -- **Add**: Code organization philosophy - - **Core** (reusable utilities): - - `forge/data/message_utils.py` - message formatting, parsing - - `forge/environments/tool_env.py` - tool execution wrapper - - `forge/utils/masking.py` - response mask utilities - - **Tau2Bench-specific** (examples): - - `examples/tau2bench/grpo/main.py` - main training script - - `examples/tau2bench/grpo/tau2_env.py` - Tau2Bench environment adapter - - `examples/tau2bench/grpo/tau2_utils.py` - Tau2-specific utilities -- **Add**: Decision framework for each function: Core vs Tau2Bench-specific? - - **Questions to ask**: - - Is this reusable across different tasks/benchmarks? - - Is this specific to Tau2Bench format/API? - - Would other users find this useful? - - Is this domain logic or infrastructure? - -#### 6.3 Core Components Implementation - -##### play_task() - The Multi-turn Loop -- **Function signature** -- **Complete implementation** - - **Use OpenEnv** instead of SimpleToolEnv (match production setup) - - Message history management - - Tool call detection and execution - - Episode termination logic - - Response masking -- **Discussion**: Core vs Tau2Bench-specific? - - **Recommendation**: **Core utility** (reusable) - - Can be parameterized for different environments - - Generic multi-turn logic - - Place in: `forge/rollouts/multiturn.py` - -##### parse_response() - Tool Call Detection -- **Function signature** -- **Implementation options** - - Text parsing (regex) - - Tag-based (model-specific) - - Native (vLLM pre-parsed) -- **Discussion**: Core vs Tau2Bench-specific? - - **Recommendation**: **Core utility** (reusable) - - Generic response parsing - - Place in: `forge/utils/parsing.py` - -##### format_system_prompt() - Prompt with Tools -- **Function signature** -- **Implementation** - - Tool schema formatting - - System instructions - - Few-shot examples (optional) -- **Discussion**: Core vs Tau2Bench-specific? - - **Recommendation**: **Hybrid** - - Core template builder: `forge/utils/prompts.py` - - Task-specific templates: `examples/tau2bench/grpo/prompts.py` - - Consider: May have core utility + task-specific variants - -##### OpenEnv Integration for Tau2Bench -- **NEW**: How to set up OpenEnv for Tau2Bench tasks - - Creating OpenEnv Docker container with Tau2Bench tools - - Environment configuration - - Tool registration -- **NEW**: Tool execution via OpenEnv - - Calling env.step() with tool actions - - Parsing tool results - - Error handling -- **NEW**: Reward computation - - Sparse rewards from Tau2Bench evaluation - - How to get final reward - - Assigning reward to episode -- **Classification**: **Tau2Bench-specific** (in `examples/tau2bench/`) - -#### 6.4 Episode Structure for Multi-turn -- **Update existing Episode dataclass** -- **Add**: response_mask field - ```python - @dataclass - class Episode: - # ... existing fields - response_mask: torch.Tensor | None = None # 1=train, 0=ignore - ``` -- **Add**: Helper methods - - `mask_tensor()` - get padded mask - - `masked_response_tensor()` - get masked response - -#### 6.5 Integration with Forge GRPO -- **Update**: continuous_rollouts function - - Call play_task instead of single generate - - Handle multi-turn episodes - - Collect all turns -- **Episode creation** from multi-turn tasks - - Per-step episodes (Strategy A) vs concatenated (Strategy B) - - Which to choose? -- **Advantages computation** - - Group-relative normalization - - Across full episodes or per-step? - -#### 6.6 GRPO Loss with Response Masking -- **Reference existing Forge implementations**: - - `/home/felipemello/forge/src/forge/losses/reinforce_loss.py` - - Already has `target_mask` parameter - - Shows how to apply mask to loss - - `/home/felipemello/forge/apps/grpo/main.py` - - Has GRPO loss using `compute_logprobs` - - Uses `F.cross_entropy` for memory efficiency -- **Show how to add response_mask parameter** - ```python - def grpo_loss_with_masking( - logits: torch.Tensor, - response: torch.Tensor, - response_mask: torch.Tensor, # NEW! - ref_logprobs: torch.Tensor, - advantages: torch.Tensor, - padding_mask: torch.Tensor, - beta: float = 0.1, - ) -> torch.Tensor: - # Compute logprobs using F.cross_entropy (memory efficient) - logprobs = compute_logprobs(logits, response) - - # Combine padding_mask AND response_mask - combined_mask = padding_mask * response_mask - - # Apply mask in loss computation - # ... rest of GRPO loss - ``` -- **Focus**: `target_mask` / `response_mask` is the key addition -- **Note**: Loss details not critical for this tutorial - - F.cross_entropy is memory-efficient - - Full implementation in existing Forge code - - Just need to add the mask parameter - -#### 6.7 Enabling Async in Forge (Performance) -- **MOVED** from old Part 7 -- **vLLM async engine setup** - - Question: Does Forge Generator support `async_engine: true`? - - Or is async handled via Monarch actors differently? - - Document current Forge async mechanism -- **Making play_task async** - - Already async in implementation - - Use `await` for generator calls - - Use `await` for env.step() -- **Running multiple tasks concurrently** - - asyncio.gather pattern for parallel samples - - Parallel episode processing - - Example code -- **Performance best practices**: - - **Parallel episode processing** - - Don't wait for rewards sequentially - - Use asyncio.gather for reward computation - - **Batching reference model calls** - - Collect all episodes first - - Batch forward pass - - Huge speedup - - **Pipeline rollouts and training** - - Decouple via replay buffer - - Rollout threads and training thread - - Already in Forge! - ---- - -### **Part 7: Evaluating Your Trained Model on Tau2Bench** - -**NEW PART** - addresses original question #1: "Once we have a trained model, how do I run taubench?" - -#### 7.1 Running Tau2Bench Evaluation -- **Using tau2 CLI command** - ```bash - tau2 run --domain mock --agent-llm --mode solo - ``` -- **How to point to your trained model** - - Option 1: HuggingFace checkpoint path - - Option 2: Local checkpoint directory - - Option 3: Using Forge saved checkpoints -- **Configuration options** - - `--domain`: Which domain to evaluate (mock, airline, retail, telecom) - - `--mode`: solo or normal - - `--task-split`: train, test, base - - Other flags - -#### 7.2 Programmatic Evaluation (Gym Interface) -- **Using tau2 gym environment** - ```python - import gymnasium as gym - from tau2.gym import register_gym_agent, TAU_BENCH_ENV_ID - - register_gym_agent() - env = gym.make(TAU_BENCH_ENV_ID, domain="mock", task_id="create_task_1") - - # Your evaluation loop - ``` -- **Running evaluation loop** - - Load your trained model - - Reset environment - - Generate responses - - Step environment - - Collect final reward -- **Collecting metrics** - - Per-task scores - - Aggregate metrics - - Saving results - -#### 7.3 Interpreting Results -- **Understanding tau2bench scores** - - ACTION score (did agent call right tools?) - - ENV score (is environment state correct?) - - NL_ASSERTIONS score (did agent communicate well?) - - Final reward (product of all scores) -- **Debugging failed episodes** - - Inspect conversation history - - Check tool calls vs expected - - Verify environment state - - Common failure modes -- **Common issues and fixes** - - Agent doesn't call tools prompt engineering, more training - - Wrong tool arguments better parsing, more examples - - Environment state wrong check tool execution logic - - Communication issues improve model's response generation - ---- - -### **Part 8: Implementation Roadmap** - -#### 8.1 Already Supported in Forge  -- vLLM v1 Engine (Generator) -- Async generation -- Distributed training (Monarch) -- GRPO algorithm -- Replay buffer -- Reference model -- Multi-GPU support -- Episode management - -#### 8.2 What Needs to Be Added  -Keep existing with effort estimates: - -1. **Response Parsing for Tool Calls** (2-4 hours) - - Detect tool calls from model output - - Parse tool name and arguments - - Handle different formats - -2. **Multi-turn Rollout Loop** (6-8 hours) - - play_task() function - - Message history management - - Tool execution integration - - Episode termination logic - -3. **Tool Environment** (4-8 hours) - - OpenEnv integration for Tau2Bench - - Tool registration and execution - - Reward computation - -4. **Response Masking** (4-6 hours) - - Track which tokens to train on - - Update Episode dataclass - - Update GRPO loss function - -5. **Tool Schema Generation** (2-4 hours) - - Convert Python functions to schemas - - Format for model consumption - -6. **System Prompt Formatting** (2-3 hours) - - Format with tool definitions - - Task-specific templates - -7. **Tau2 Evaluation Integration** (4-6 hours) - - CLI interface - - Programmatic evaluation - - Results collection - -#### 8.3 Implementation Checklist - -**Phase 1: Minimum Viable Tool Calling (1-2 days)** -- [ ] Implement `parse_response()` function -- [ ] Implement basic `play_task()` function -- [ ] OpenEnv integration with simple tools -- [ ] Test end-to-end on simple task - -**Phase 2: Integration with Forge GRPO (2-3 days)** -- [ ] Add `response_mask` to Episode -- [ ] Update `continuous_rollouts` to use `play_task()` -- [ ] Update GRPO loss with masking -- [ ] Test training loop - -**Phase 3: Production-Ready (3-5 days)** -- [ ] Tool schema generation -- [ ] System prompt formatting -- [ ] OpenEnv integration for Tau2Bench -- [ ] Comprehensive logging and metrics -- [ ] Error handling and edge cases - -**Phase 4: Tau2Bench Evaluation (1-2 days)** -- [ ] CLI evaluation interface -- [ ] Programmatic evaluation -- [ ] Results analysis tools -- [ ] Run full evaluation on trained model - -**Total Estimated Effort:** 1-2 weeks for full implementation - -#### 8.4 Next Steps and Quick Reference -- **MOVED** from appendix - -**Immediate Next Steps**: -1. Choose a pattern from Part 5 (recommend starting with Pattern A or B) -2. Implement core utilities (parse_response, play_task) -3. Create Tau2Bench example in `examples/tau2bench/grpo/` -4. Test on simple Tau2Bench task (mock domain) -5. Train model and evaluate - -**Key Files to Create**: -- Core utilities: - - `forge/utils/parsing.py` - response parsing - - `forge/rollouts/multiturn.py` - play_task function - - `forge/utils/masking.py` - response masking utilities - - `forge/utils/prompts.py` - prompt formatting -- Tau2Bench example: - - `examples/tau2bench/grpo/main.py` - training script - - `examples/tau2bench/grpo/tau2_env.py` - environment adapter - - `examples/tau2bench/grpo/config.yaml` - configuration - -**Key Concepts Recap**: -- Multi-turn = multiple back-and-forth exchanges -- Tool calling = model invokes functions, not just text -- Response mask = which tokens to train on (1) vs ignore (0) -- Environment = executes tools, manages state, provides rewards -- Sparse reward = only at episode end (Tau2Bench pattern) - -**Questions to Answer**: -- Which pattern to start with? (A or B recommended) -- Core vs task-specific for each utility? -- OpenEnv setup for Tau2Bench tools? -- How to structure examples directory? - ---- - -## Key Insights and Discussions from Conversation - -### 1. Document Purpose and Audience -- **Goal**: Provide clean, working code (not just plans) for Forge + Tau2Bench + multi-turn + tool calling -- **Audience**: Junior developers new to RL and Forge -- **Deliverable**: Code that works, with clear examples - -### 2. Training vs Evaluation Strategy -- **Training**: Use OpenEnv Docker sandboxes (NOT Tau2Bench) -- **Evaluation**: Use Tau2Bench to measure performance -- **Rationale**: Tau2Bench is a benchmark, not a training environment -- **Approach**: Train on OpenEnv environments, evaluate on Tau2Bench - -### 3. Code Formatting Preferences -- **From**: `**= Code Reference:** path/to/file.py` with titled code blocks -- **To**: `# path/to/file.py` as first line in code block -- Remove code block titles unless clear topic separation -- Cleaner, more readable code snippets - -### 4. Core vs Tau2Bench-Specific Code -- **Philosophy**: Core functions should be env-agnostic -- **Reason**: Environment is injected at app level, user customizes the app/example -- **Decision framework** needed for each proposed function -- **File organization**: - - **Core** (reusable): `forge/data/`, `forge/utils/`, `forge/rollouts/` - - **Tau2Bench-specific**: `examples/tau2bench/grpo/` -- **Questions to ask**: - - Is this reusable across tasks? - - Is this specific to Tau2Bench? - - Would other users find this useful? - -### 5. Focus on Real Production Libraries -- Don't waste time on toy examples (BlackJack is just for the pattern) -- **Focus on**: NeMo-RL, VERL, TRL, **Tinker** P, Verifiers/PRIME-RL -- **Especially highlight Tinker's APIs** - we want to follow them closely -- All patterns must be adaptable to Forge + vLLM + OpenEnv stack - -### 6. Tinker APIs - Special Focus P -- **Why Tinker**: Clean, modular, production-tested design -- **Key patterns to highlight**: - - **Renderer pattern**: Clean prompt formatting abstraction - - **Environment.step() API**: Standard gym-like interface with StepResult - - **Trajectory processing**: Clean conversion from episodes to training data - - **Response masking**: Clean implementation in data processing phase - - **Separation of concerns**: Rollout logic separate from data processing -- **Where to highlight**: Throughout Part 4 components and Part 5 Pattern B -- **Mark with** P to make it easy to spot - -### 7. Part 5 Pattern Philosophy -- Show different ways to structure the loop **in Forge** -- Not "how other libraries do it" but "how to adapt their approaches to Forge" -- All use same stack: **Forge Generator + vLLM + OpenEnv + Tau2Bench** -- Use **internal vLLM** (Forge Generator), not external server -- **Exception**: Document external server as valid option (Part 4.0) - -### 8. vLLM Server Options (CRITICAL Clarification) -- **Option A: Forge Generator (internal vLLM)**  Recommended - - vLLM engine inside Forge as distributed actor - - Allocated to its own GPUs via Monarch - - Communication via async actor calls (not HTTP) - - This is what Forge currently does -- **Option B: External vLLM Server (separate process)** - - vLLM runs as independent HTTP server (e.g., TRL pattern) - - Blocking HTTP requests to `localhost:8000/generate` - - Separate from training process - - Useful for: debugging, exploration, separation of concerns -- **Option C: Hybrid** - - Use external for debugging/exploration - - Use internal for production training -- **Documentation approach**: - - All examples use Option A (Forge Generator) - - Document Option B as valid alternative - - Brief notes in each pattern on how to adapt to Option B - -### 9. Structural Changes Summary -- **Swap Part 1 Part 2**: Explain Tau2Bench first (what we're building for) -- **Move Tau2 Modes**: To start of Tau2Bench section (critical context) -- **Merge 4.4 + 4.10**: Generation + concurrency in one section -- **Merge 4.7 + 4.8**: Masking + token collection (tightly coupled) -- **Add Part 4.0**: vLLM server options (internal vs external) -- **Delete old Part 7**: Async patterns (move content to 4.4 and 6.7) -- **Add new Part 7**: Tau2Bench evaluation (was missing!) - -### 10. Content Enhancements -- **Add**: Concrete Python while loop example in Fundamentals (Part 2.4) -- **Add**: Environment concept early (Part 2.5) -- **Expand**: Approach 1 explanation (native function calling details) -- **Add**: Qwen tag-based approach in Approach 2 with parser example -- **Add**: YAML examples to each pattern (show complete config) -- **Add**: 2-paragraph summary to each pattern (what it is, when to use) -- **Add**: "when to use" guidance for each pattern -- **Add**: Clarifications (response.choices[0], message.tool_calls, etc.) - -### 11. Missing Pieces Identified (Now Addressed) --  How to run tau2bench evaluation **Added Part 7** --  Environment concept **Added Part 2.5** --  Clear distinction core vs taubench-specific **Added decision framework** --  vLLM configuration flags **Consolidated in 4.4** --  vLLM server options **Added Part 4.0** --  Tinker highlighting **Throughout Part 4 and Pattern B** - -### 12. Pattern Count: 5 Patterns in Part 5 -Each pattern shows a different architectural approach, all compatible with Forge: - -1. **Pattern A (TRL-inspired)**: Simplest - token concatenation -2. **Pattern B (Tinker-inspired)** P: Clean abstractions - Renderer, clean APIs -3. **Pattern C (VERL-inspired)**: State machine - explicit state management -4. **Pattern D (NeMo-RL-inspired)**: Async pipelining - maximum performance -5. **Pattern E (Verifiers-inspired)**: Native tool calling - production-ready - -**Rationale for 5 patterns**: -- Covers spectrum from simplest to most complex -- Shows different trade-offs (simplicity vs performance vs abstraction) -- Gives users clear choices based on their needs -- Highlights Tinker's approach (special focus) - ---- - -## Implementation Notes - -### Code Formatting Rules -1. Use `# path/to/file.py` as first line of code blocks -2. Remove `**= Code Reference:**` sections -3. Remove code block titles unless clear topic separation -4. Example transformation: - ``` - FROM THIS: - **Prompt Formatting:** - **= Code Reference:** `OpenEnv/examples/grpo_blackjack/grpo_utils.py` - ```python - def format_prompt(...): - ``` - - TO THIS: - ```python - # OpenEnv/examples/grpo_blackjack/grpo_utils.py - def format_prompt(...): - ``` - ``` - -### Clarifications to Add Throughout -1. **`response.choices[0]`** - why [0]? - - Because generate can return N samples (when n > 1) - - We typically use first sample in rollout - - For GRPO, we generate multiple samples per prompt - -2. **`message.tool_calls`** - who parsed it and put it there? - - If using native function calling: vLLM parses automatically - - If using text parsing: you parse manually and populate - - Depends on approach (Approach 1 vs 2 from Part 2) - -3. **`transfer_to_human_agents`** - what is it? - - Signals agent needs help from human - - One of the end-of-episode conditions - - Tau2Bench-specific tool - -4. **Stop keywords** ("bye", "thanks") - - Verify if actually in tau2bench code or invented - - Add proper reference to tau2bench documentation - - Action item: Check tau2bench source - -5. **vLLM server options** (Part 4.0) - - Internal (Forge Generator) vs External (separate process) - - When to use each - - How to adapt code - -### References to Existing Forge Code - -Throughout Part 6, reference these files: - -1. **`/home/felipemello/forge/src/forge/losses/reinforce_loss.py`** - - Already has `target_mask` parameter - - Shows pattern for applying mask to loss - - Can be adapted for `response_mask` - -2. **`/home/felipemello/forge/apps/grpo/main.py`** - - Has GRPO loss implementation - - Uses `compute_logprobs` function - - Uses `F.cross_entropy` for memory efficiency - - Show how to extend for multi-turn - -3. **Existing Forge patterns**: - - Async actor communication (Monarch) - - Replay buffer usage - - Episode dataclass structure - - Weight syncing via torchstore - -### Pattern Requirements (Part 5) - -Each of the 5 patterns must have: - -1. **2-paragraph summary** at the top - - **Paragraph 1**: What this pattern is (1-2 sentences) - - **Paragraph 2**: When to use it (1-2 sentences with specific scenarios) - -2. **YAML Configuration Example** - - Complete, runnable config - - Show all relevant sections (policy, trainer, rollout, etc.) - - Include comments explaining key settings - -3. **Complete Code Walkthrough** - - Full implementation using Forge Generator - - All necessary functions - - Integration points with Forge GRPO - - Actually runnable code (not pseudocode) - -4. **Key Insights Section** - - What makes this pattern unique - - Trade-offs vs other patterns - - Performance characteristics - - When it works well / doesn't work well - -5. **(Optional) Adaptation Note** - - If relevant: how to adapt to external vLLM server - - Keep brief (2-3 sentences) - - Not needed if pattern doesn't benefit from external server - -### Tinker Highlighting Requirements P - -Throughout the document, prominently feature Tinker: - -1. **Mark Tinker sections** with P emoji for easy spotting - -2. **Part 4 Components**: Highlight Tinker's approach for: - - Component 2 (Prompt Formatting): Renderer pattern - - Component 4 (Tool Execution): Clean tool definition - - Component 5 (Message History): Explicit list pattern - - Component 6 (Response Masking): Trajectory processing - -3. **Part 5 Pattern B**: Dedicated pattern for Tinker - - Most detailed pattern - - Show complete Renderer implementation - - Show Environment API - - Show trajectory data conversion - - Emphasize design philosophy - -4. **Why Tinker is good** (mention throughout): - - Modularity and separation of concerns - - Easy to test and debug - - Clean abstractions - - Production-proven - - Reusable components - -5. **Code examples from Tinker**: - - Renderer class structure - - Environment.step() return type - - Trajectory dataclass - - Response masking in data processing - ---- - -## Estimated Length - -- **Current document**: ~2,000 lines -- **Estimated final**: ~2,800-3,200 lines -- **Growth**: +800-1,200 lines - -**Breakdown of additions**: -- Part 7 (Tau2Bench evaluation): ~200-250 lines -- Enhanced Approach 1/2 explanations: ~100-150 lines -- Python while loop example (Part 2.4): ~50 lines -- Environment section (Part 2.5): ~100 lines -- Part 4.0 (vLLM server options): ~100-150 lines -- YAML examples (5 patterns 30 lines): ~150 lines -- Clarifications and comments throughout: ~100-150 lines -- Additional Tinker highlighting: ~50-100 lines -- Pattern summaries and "when to use": ~100 lines - ---- - -## Open Questions for Implementation - -### 1. Forge Generator Async Engine -- **Question**: Does Forge Generator support `async_engine: true` flag like NeMo-RL? -- **Or**: Is async handled differently via Monarch actors? -- **Impact**: Affects Part 4.4 and Pattern D documentation -- **Action**: Check Forge Generator source code to clarify async mechanism -- **Document**: Current Forge async approach accurately - -### 2. Pattern D (NeMo-RL Async Pipelining) Feasibility -- **Question**: Can this pattern be implemented with current Forge Generator? -- **Or**: Does it require external vLLM with AsyncLLM? -- **Consideration**: May need to document limitations or required adaptations -- **Alternative**: If not directly supported, show how to approximate the benefits - -### 3. Stop Keywords in Tau2Bench -- **Question**: Are "bye", "thanks" actually in tau2bench code? -- **Or**: Was this invented in the original document? -- **Action**: Check tau2bench source code - - Look in: `tau2-bench/src/tau2/orchestrator/` - - Check user simulator stop conditions -- **Document**: Add proper reference if exists, or remove if invented - -### 4. Response Masking Coverage in Patterns -- **Question**: Should EVERY pattern show complete response masking implementation? -- **Or**: Just mention it and refer to Part 4.7? -- **Trade-off**: Completeness vs verbosity -- **Recommendation**: - - Show full implementation in Patterns B and D (most detailed) - - Brief mention + reference in Patterns A, C, E - - Always mention it, but vary level of detail - -### 5. OpenEnv Setup for Tau2Bench -- **Question**: How exactly to set up OpenEnv Docker container with Tau2Bench tools? -- **Action**: Need to research or create example -- **Impact**: Part 6.3 (OpenEnv Integration) -- **Consider**: May need separate setup guide or prerequisite steps - -### 6. Forge-Specific vLLM Flags -- **Question**: Which vLLM flags are supported/relevant for Forge Generator? -- **Examples**: `enable_auto_tool_choice`, `tool_call_parser`, `async_engine` -- **Action**: Check Forge Generator EngineArgs forwarding -- **Document**: Only show flags that actually work with Forge - ---- - -## Ready for Implementation - -This structure is complete and ready for implementation. All major decisions documented: - - Highlighting Tinker APIs throughout (with P markers) - Clarifying internal vs external vLLM server options - 5 patterns in Part 5 with clear focus areas - Complete section structure with all enhancements - Code formatting rules defined - Core vs task-specific decision framework - Missing Part 7 (Tau2Bench evaluation) added - All content enhancements specified - Implementation notes for each section - Open questions documented for resolution during implementation - -**Next step**: Use this document in a new conversation to implement the refactored tutorial. diff --git a/brainstorming_forge_tau/changes/1_message_format_for_tool_calling.md b/brainstorming_forge_tau/changes/1_message_format_for_tool_calling.md deleted file mode 100644 index 335c86be7..000000000 --- a/brainstorming_forge_tau/changes/1_message_format_for_tool_calling.md +++ /dev/null @@ -1,168 +0,0 @@ -# Part 5: Message Format for Tool Calling - -## Problem - -**Current:** Dataset calls `tokenizer.apply_chat_template()` at data loading time, converting messages to strings. - -**Why this breaks tool calling:** -1. Can't add tool definitions to prompts (lost message structure) -2. Can't do multi-turn (need to rebuild prompt each turn with updated history) -3. Can't manage conversation state - -**Root cause:** Formatting happens too early (dataset) instead of per-turn (rollout loop). - ---- - -## Solution: Format in Rollout Loop - -**Key insight:** All frameworks (VERL, TRL, Tinker, NeMo-RL) format messages in the rollout loop, not the dataset or generator. - -**Architecture:** -``` -Dataset Rollout Loop Generator - ↓ ↓ ↓ -Return messages apply_chat_template() Receive string -(structured) per turn with tools (unchanged) -``` - -**Generator doesn't change** - stays stateless, keeps `generate(prompt: str) → Completion` API. - ---- - -## Current State - -### Dataset (apps/grpo/main.py:217-234) -```python -def gsm8k_transform(sample): - messages = [ - {"role": "system", "content": system_prompt}, - {"role": "user", "content": sample["question"]}, - ] - - # ❌ Formatting happens HERE - too early - formatted_request = self._tokenizer.apply_chat_template(messages, ...) - return {"request": formatted_request, "target": formatted_target} -``` - -### Rollout Loop (apps/grpo/main.py:359-373) -```python -async def continuous_rollouts(): - sample = await dataloader.sample.call_one() - - prompt, target = sample["request"], sample["target"] # Already a string - responses = await policy.generate.route(prompt) -``` - -**Problem:** Once formatted to string, can't add tools or continue multi-turn conversation. - ---- - -## New State (Single-Turn) - -### 1. Dataset Returns Messages -```python -def gsm8k_transform(sample): - messages = [ - {"role": "system", "content": system_prompt}, - {"role": "user", "content": sample["question"]}, - ] - - target = sample["answer"].split("#### ")[1] - - # ✅ Return structured messages - return {"messages": messages, "target": target} -``` - -### 2. Add Tokenizer to Main -```python -async def main(cfg: DictConfig): - # ... after service initialization ... - - # ✅ Get tokenizer for rollout loop - from vllm.transformers_utils.tokenizer import get_tokenizer - tokenizer = get_tokenizer(cfg.dataset.model) -``` - -### 3. Format in Rollout Loop -```python -async def continuous_rollouts(tokenizer): # ✅ Add parameter - sample = await dataloader.sample.call_one() - - messages, target = sample["messages"], sample["target"] # ✅ Get messages - - # ✅ Format HERE in rollout loop - prompt_str = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=False - ) - - # Generator receives string (same as before!) - responses = await policy.generate.route(prompt_str) -``` - -### 4. Pass Tokenizer to Tasks -```python -rollout_tasks = [ - asyncio.create_task(continuous_rollouts(tokenizer)) # ✅ Pass tokenizer - for _ in range(num_rollout_threads) -] -``` - ---- - -## New State (Multi-Turn with Tools) - -For multi-turn, extend the rollout loop. Generator still doesn't change. - -```python -async def play_task( - messages: list[dict], # From dataset - tools: list[dict], # From environment - env, # Environment client - generator, # Forge Generator (unchanged!) - tokenizer, - max_turns: int = 10, -): - """Multi-turn rollout with tool calling.""" - - for turn in range(max_turns): - # 1. Format with tools (ROLLOUT LOOP does this each turn) - prompt_str = tokenizer.apply_chat_template( - messages, - tools=tools, # ← Add tools to prompt - add_generation_prompt=True, - tokenize=False - ) - - # 2. Generate (generator API unchanged) - response = await generator.generate.route(prompt_str) - - # 3. Parse tool calls - tool_calls = parse_tool_calls(response.text) - - if tool_calls: - # 4. Add assistant message + tool calls - messages.append({ - "role": "assistant", - "content": response.text, - "tool_calls": tool_calls - }) - - # 5. Execute tools and add results - for tc in tool_calls: - result = await env.execute_tool(tc["name"], tc["args"]) - messages.append({ - "role": "tool", - "content": result.content - }) - # Loop continues - reformats with updated messages - else: - # 6. Final answer - messages.append({"role": "assistant", "content": response.text}) - break - - return messages, response -``` - -**Key:** Rollout loop manages history, formats each turn, generator stays stateless. diff --git a/brainstorming_forge_tau/changes/2_episode_class.md b/brainstorming_forge_tau/changes/2_episode_class.md deleted file mode 100644 index 4c5e17e53..000000000 --- a/brainstorming_forge_tau/changes/2_episode_class.md +++ /dev/null @@ -1,189 +0,0 @@ -# Episode Class Design for Multi-Turn Tool Calling in Forge - -## Executive Summary - -After analyzing VERL, Prime-RL, TRL, NeMo-RL, and Tinker, we propose a clean `Episode` class for multi-turn tool calling in Forge. - -**Key Insight:** Forge's current `pad_id`, `request_len`, `response_len` exist as workarounds for not having response masking. All other frameworks use explicit masks instead. - -**Recommendation:** Single `Episode` dataclass with concatenated tokens and explicit `response_mask`. - ---- - -## Current Forge Episode (Problems) - -```python -@dataclass -class Episode: - episode_id: str - pad_id: int # ❌ Workaround for no masking - request_len: int # ❌ Fixed-length workaround - response_len: int # ❌ Fixed-length workaround - target: Any | None = None - completion: Completion | None = None # ❌ Stores entire object - ref_logprobs: torch.Tensor | None = None - reward: float | None = None - advantage: float | None = None -``` - -**Problems:** -- Can't handle multi-turn (variable length) -- No response masking → would train on tool results (critical bug!) -- Stores entire `Completion` object (memory waste) -- Fixed lengths incompatible with variable-turn episodes - ---- - -## Proposed Episode Class - -```python -from dataclasses import dataclass, field -from typing import Any -import torch - - -@dataclass -class Episode: - """ - Episode data for GRPO training with multi-turn tool calling support. - - Stores concatenated tokens from all turns (prompts + LLM outputs + tool results) - with a response mask indicating which tokens to train on. - - Example multi-turn episode: - Turn 1: User: "Search Python" → Assistant: "search(...)" - Turn 2: Tool: "Found 10 results..." → Assistant: "Here are the results..." - - all_token_ids: [101, 102, 345, 346, 456, 457, 458, 567, 568] - response_mask: [ 0, 0, 1, 1, 0, 0, 0, 1, 1 ] - [prompt ][LLM ][ tool result ][LLM ] - """ - - # ============ Core Identifiers ============ - episode_id: str - task_name: str | None = None # Environment identifier (e.g., "websearch", "coding") - - # ============ Policy & Truncation (for eviction policy) ============ - generator_version: int # Which policy version generated this - is_truncated: bool # Hit max_turns limit - - # ============ Token Data ============ - all_token_ids: torch.Tensor # All tokens concatenated (prompts + responses + tool results) - # Shape: (seq_len,) - - logprobs: torch.Tensor # Log probabilities for all tokens - # Shape: (seq_len,) - # 0.0 for non-LLM tokens (prompts, tool results) - - response_mask: torch.Tensor # CRITICAL: Mask for training - # Shape: (seq_len,) - # 1.0 = train on this token (LLM output) - # 0.0 = skip this token (prompt, tool result) - - # ============ Conversation History (Optional) ============ - target: Any | None = None # Ground truth (optional, for evaluation) - message_log: list[dict[str, Any]] | None = None - # OpenAI-compatible messages for debugging/analysis - # Example: [ - # {"role": "user", "content": "Search Python"}, - # {"role": "assistant", "content": "...", "tool_calls": [...]}, - # {"role": "tool", "content": "Found 10 results..."} - # ] - - # ============ Rewards & Training ============ - reward: float | None = None - advantage: float | None = None # Computed by GRPO - ref_logprobs: torch.Tensor | None = None # Reference model logprobs (for KL penalty) - # Shape: (seq_len,) - - # ============ Metadata ============ - metadata: dict[str, Any] = field(default_factory=dict) - # Suggested fields (all optional): - # - num_turns: int - # - num_tool_calls: int - # - stop_reason: str - - -# Type alias for GRPO groups -Group = list[Episode] -``` - ---- - -## Key Design Decisions - -| Decision | Choice | Reasoning | -|----------|--------|-----------| -| **Single class vs Multi-class?** | Single `Episode` | GRPO only needs final reward (no per-step). Simpler, less memory, easier batching. VERL/Prime-RL/TRL all use single class. | -| **response_mask** | ✅ Required | **Critical** - prevents training on tool results. Without this, model learns to hallucinate tool outputs instead of calling tools. | -| **Concatenate tokens** | All in `all_token_ids` | Multi-turn requires concatenation anyway. Simpler than separate prompt/completion fields. | -| **actual_length field?** | ❌ Drop | Redundant with `len(all_token_ids)`. Avoid consistency bugs. | -| **pad_id, request_len, response_len?** | ❌ Drop | Workarounds for missing mask. Use dynamic padding in collate_fn instead. | -| **completion object?** | ❌ Drop | Just parse needed fields from Generator. Don't store entire Prompt/text/metadata. | -| **generator_version, is_truncated** | ✅ First-class fields | Critical for eviction policy - don't hide in metadata. | -| **message_log** | Optional | Useful for debugging/analysis, not required for training. | -| **metadata** | Flexible dict | For optional debugging data (num_turns, stop_reason, etc.). | - ---- - -## Why These Choices Matter - -### 1. response_mask is Critical - -**Without masking (BAD):** -``` -Prompt: "Search for Python" -Assistant: "search(...)" -Tool: "Found 10 results: 1. Python.org, 2. ..." ← MODEL TRAINED ON THIS! -Assistant: "Here are the results..." - -Problem: Model learns to output fake tool responses instead of calling tools! -``` - -**With masking (GOOD):** -``` -response_mask: [0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1] - [prompt ][LLM ][tool output ][LLM ] - -Only LLM output tokens contribute to loss → Model learns correct tool calling! -``` - -### 2. Single Class vs Tinker's Multi-Class - -Tinker uses `Transition` → `Trajectory` → `TrajectoryGroup` (3 classes). - -**Why single class for Forge:** -- GRPO only needs final reward (no per-step rewards like PPO/A2C) -- Simpler implementation (1 class vs 3) -- Less memory (no per-step objects) -- Easier batching (flat structure) -- Industry standard (VERL, Prime-RL, TRL all use single class) - -### 3. Eviction Policy Needs generator_version & is_truncated - -Replay buffers need to evict old data: -- **generator_version**: Discard episodes from old policy (stale data) -- **is_truncated**: Don't train on incomplete episodes (noisy signal) - -Too important to hide in metadata dict. - ---- - -## TODO: Truncation Strategy Research - -**Status:** TO BE RESEARCHED - -When an episode hits `max_turns`, we need a clear truncation strategy. - -**Open Questions:** -1. **Turn-level:** Drop whole last turn or keep partial? -2. **Within-turn:** Truncate long tool outputs? Where (start/middle/end)? -3. **Prompt vs Response:** Prioritize which? Drop early turns to fit max_seq_len? -4. **Mask alignment:** How to ensure response_mask stays aligned after truncation? -5. **Training:** Should `is_truncated=True` episodes be excluded or down-weighted? - -**Follow-up:** Create `3_truncation_strategy.md` analyzing how other frameworks handle this and propose strategies for Forge. - ---- - -**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation.md b/brainstorming_forge_tau/changes/3_truncation.md deleted file mode 100644 index ce456c7f3..000000000 --- a/brainstorming_forge_tau/changes/3_truncation.md +++ /dev/null @@ -1,336 +0,0 @@ -# Truncation Strategy for Multi-Turn Episodes - -**Dependencies:** -- `1_message_format_for_tool_calling.md` (dataset returns messages, format in rollout loop) -- `2_episode_class.md` (new Episode class with response_mask) - ---- - -## Problem - -Single-turn blackjack has fixed `max_tokens` per generation with no episode-level budget tracking. - -**Why this breaks multi-turn:** -1. Episode can grow unbounded (turn1: 100 tokens, turn2: 200 tokens, turn3: 500 tokens → 800 tokens total) -2. Can exceed model's `max_model_len` (crashes inference) -3. Tool results can be arbitrarily long (web search: 10K tokens) -4. No clear strategy for when to stop adding turns - -**Root cause:** Need episode-level budget (`max_seq_len`) that spans all turns. - ---- - -## Solution: Episode-Level Budget + Per-Turn Checks - -All frameworks (Tinker, VERL, NeMo-RL) check prompt length each turn and terminate when budget exhausted. - -**Architecture:** -``` -Dataset → Rollout Loop → Generator - ↓ ↓ ↓ -Returns Each Turn: Receives -messages 1. Build prompt from messages (includes full history) - 2. Check: len(prompt_tokens) >= max_seq_len? → STOP - 3. Generate with remaining budget - 4. Add response to messages - 5. Parse tools, execute, add results → Loop -``` - -Prompt already includes all history, so no cumulative tracking needed. - ---- - -## Implementation - -### Prerequisites (from docs 1 & 2) - -**From `1_message_format_for_tool_calling.md`:** -- Dataset returns `{"messages": [...], "target": ...}` instead of formatted strings -- Tokenizer passed from main → rollout loop → play_game -- `apply_chat_template()` called in rollout loop each turn - -**From `2_episode_class.md`:** -- New Episode class with `all_token_ids`, `response_mask`, `logprobs` -- Drop old `pad_id`, `request_len`, `response_len` fields -- Add `generator_version`, `is_truncated`, `task_name`, `message_log` - -### 1. Config Parameters - -```yaml -blackjack_env: - max_seq_len: 2048 # Total episode budget (all turns) - max_turns: 10 # Hard limit on turns - max_tool_result_length: 1024 # Global, token-based (for future tool calling) - -grpo: - include_truncated_in_buffer: false # Drop incomplete episodes - -policy: - engine_args: - enable_prefix_caching: true # Critical for multi-turn (2-3x speedup) - # max_model_len: 4096 # this is defined dinamically on generate - -### 2. Dataset Returns Messages - -```python -async def sample_blackjack_episode(): - """Dataset returns initial messages for the game.""" - return { - "messages": [ - {"role": "system", "content": "You are a blackjack expert..."} - ], - "target": None, - "task_name": "blackjack", # TODO: Investigate how other frameworks structure dataset output - } -``` - -**Note:** `task_name` should probably come from the dataset. Need to investigate how other frameworks handle dataset - schema (likely using TypedDict or dataclass for consistent fields across datasets). This investigation should be done in a separate document. - -### 3. Main: Get Tokenizer and Pass to Rollout Loop - -```python -async def main(cfg: DictConfig): - # ... after service initialization ... - - # Get tokenizer for use in rollout loop - from vllm.transformers_utils.tokenizer import get_tokenizer - tokenizer = get_tokenizer(cfg.dataset.model) - - # Start rollout threads with tokenizer - rollout_tasks = [ - asyncio.create_task(continuous_rollouts(tokenizer)) - for _ in range(num_rollout_threads) - ] -``` - -### 4. Rollout Loop: Format Messages Each Turn - -```python -async def continuous_rollouts(tokenizer): - while not shutdown_event.is_set(): - # Sample structured data from dataset - sample = await dataloader.sample.call_one() - initial_messages = sample["messages"] - target = sample["target"] - task_name = sample["task_name"] - - # Play episode with budget tracking - episode = await play_game( - game_id=str(uuid.uuid4()), - messages=initial_messages, - task_name=task_name, - policy=policy, - tokenizer=tokenizer, - max_seq_len=cfg.max_seq_len, - max_turns=cfg.max_turns, - ) - - # Add to buffer, calculate advantages, etc. - ... -``` - -### 5. Play Game: Budget Tracking Each Turn - -```python -async def play_game( - game_id: str, - messages: list[dict], - task_name: str, - policy: Generator, - tokenizer, - max_seq_len: int, - max_turns: int, -) -> Episode: - messages = messages.copy() - - all_tokens = [] - all_logprobs = [] - response_mask = [] - is_truncated = False - - env = OpenSpielEnv(base_url=server_url) - result = env.reset() - - for turn in range(max_turns): - if result.done: - break - - # Add user message with current game state - messages.append({"role": "user", "content": format_game_state(result.observation)}) - - # Format prompt from full message history - prompt_text = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=False - ) - - # Encode to check if prompt exceeds budget - prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) - - if len(prompt_tokens) >= max_seq_len: - is_truncated = True - record_metric("episode/terminated_budget_exceeded", 1, Reduce.MEAN) - break - - # Calculate remaining budget for this turn - remaining = max_seq_len - len(prompt_tokens) - - # Generate with remaining budget - responses = await policy.generate.route( - [prompt_text], - sampling_params={"max_tokens": remaining} - ) - response = responses[0] - - # Check if generation was cut off by max_tokens - if response.stop_reason == "length": - is_truncated = True - record_metric("episode/generation_truncated", 1, Reduce.MEAN) - break - - # Accumulate tokens and build response mask - all_tokens.extend(prompt_tokens) - all_tokens.extend(response.token_ids) - response_mask.extend([0] * len(prompt_tokens)) # Don't train on prompts - response_mask.extend([1] * len(response.token_ids)) # Train on responses - all_logprobs.extend([0.0] * len(prompt_tokens)) - all_logprobs.extend(response.logprobs) - - # Add assistant response to message history - messages.append({"role": "assistant", "content": response.text}) - - # Execute action in environment - action = parse_action(response.text) - result = env.step(OpenSpielAction(action_id=action, game_name="blackjack")) - - # Create episode with accumulated data - return Episode( - episode_id=game_id, - task_name=task_name, - generator_version=get_policy_version(), - is_truncated=is_truncated, - all_token_ids=torch.tensor(all_tokens, dtype=torch.long), - logprobs=torch.tensor(all_logprobs, dtype=torch.float), - response_mask=torch.tensor(response_mask, dtype=torch.float), - reward=result.reward, - message_log=messages, - metadata={"num_turns": turn + 1} - ) -``` - -### 6. Tool Result Truncation (Future) - -```python -def truncate_to_budget( - text: str, - tokenizer, - max_tokens: int, - side: str = "left" -) -> str: - """Truncate text to max_tokens. Side: 'left', 'right', or 'middle'.""" - tokens = tokenizer.encode(text, add_special_tokens=False) - - if len(tokens) <= max_tokens: - return text - - if side == "left": - return tokenizer.decode(tokens[:max_tokens]) + "...(truncated)" - elif side == "right": - return "(truncated)..." + tokenizer.decode(tokens[-max_tokens:]) - else: - half = max_tokens // 2 - return (tokenizer.decode(tokens[:half]) + - "...(truncated)..." + - tokenizer.decode(tokens[-half:])) - -# Usage in multi-turn loop with tools -for tool_call in tool_calls: - result = await execute_tool(tool_call) - - # Truncate tool result to prevent budget overflow - truncated_result = truncate_to_budget( - str(result), - tokenizer, - max_tool_result_length, - side="left" - ) - - messages.append({"role": "tool", "content": truncated_result}) -``` - ---- - -## Key Design Decisions - -| Decision | Choice | Reasoning | -|----------|--------|-----------| -| **Dataset format** | Messages | Dataset returns structured messages, formatting happens in rollout loop | -| **Episode fields** | New class | `response_mask` instead of `pad_id/request_len/response_len` for variable-length multi-turn | -| **Encoding location** | Inside loop | Need to check budget before generating. Prompt includes full history | -| **Cumulative tracking** | No | Redundant - prompt already contains all turns | -| **Dynamic max_tokens** | Calculate remaining | `max_tokens = max_seq_len - len(prompt_tokens)` | -| **Tool truncation unit** | Tokens | Accurate for budget, consistent with max_seq_len | -| **Tool truncation scope** | Global | Start simple, add per-tool later if needed | -| **Mid-generation truncation** | Stop immediately | Don't parse tools if `stop_reason == "length"` | -| **Truncated episodes** | Configurable | `include_truncated_in_buffer: false` to drop them | -| **Prefix caching** | Required | 2-3x speedup for multi-turn | - ---- - -## Research Findings Summary - -Analyzed TRL, VERL, NeMo-RL, Tinker, Verifiers: - -| Library | Prompt Check? | Tool Truncation? | Mid-Generation Handling | -|---------|--------------|------------------|------------------------| -| **Tinker** | Each turn | Terminates instead | No stop_reason check | -| **VERL** | Each turn | Global (256 chars) | Silent failure | -| **NeMo-RL** | Each turn | Dynamic (tokens) | No stop_reason check | -| **TRL** | Relies on vLLM | No | No check | -| **Verifiers** | Post-hoc | No | Crashes on incomplete JSON | - -**Best practices:** -- Check prompt length each turn, terminate if exceeds (Tinker) -- Token-based truncation, dynamic allocation (NeMo-RL) -- Global tool result truncation config (VERL) -- Check `stop_reason == "length"` before parsing tools (new) - ---- - -## Migration from Current Blackjack - -### Breaking Changes - -**From Episode class (doc 2):** -1. Drop `pad_id`, `request_len`, `response_len` → Add `response_mask` -2. Update collate function for dynamic padding -3. Update loss computation to use `response_mask` - -**From message format (doc 1):** -4. Dataset returns `{"messages": [...], "target": ...}` instead of formatted strings -5. Get tokenizer in main and pass to rollout loop -6. Rollout loop passes tokenizer to play_game -7. play_game receives `messages` parameter from dataset - -### Non-Breaking - -- Generator API unchanged: `generate(prompt: str) → Completion` -- Single-turn still works (1 iteration of loop) -- Configs additive with defaults - ---- - -## Next Steps - -1. Update Episode class (see `2_episode_class.md`) -2. Add tokenizer to rollout loop (see `1_message_format_for_tool_calling.md`) -3. Implement budget checking in rollout loop (this doc) -4. Update dataset to return messages -5. Add truncation metrics to dashboard -6. Test with various `max_seq_len` values - ---- - -**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation_design_decisions.md b/brainstorming_forge_tau/changes/3_truncation_design_decisions.md deleted file mode 100644 index 5171370db..000000000 --- a/brainstorming_forge_tau/changes/3_truncation_design_decisions.md +++ /dev/null @@ -1,534 +0,0 @@ -# Truncation Handling - Design Decisions for Blackjack (Updated) - -**Date:** 2025-01-16 -**Last Updated:** 2025-01-16 (simplified based on user feedback) -**Context:** Multi-turn blackjack with tool calling - design decisions based on library investigation - ---- - -## Design Questions & Decisions - -### Q1: How to Detect Truncation? - -**Question:** How do we know if vLLM truncated the response due to `max_tokens`? - -**Options:** - -**A) Check if last token is EOS/PAD (TRL approach)** -```python -eos_and_pad = [tokenizer.eos_token_id, tokenizer.pad_token_id] -is_truncated = response.token_ids[-1] not in eos_and_pad -``` - -**B) Check vLLM's `stop_reason` field** -```python -is_truncated = response.stop_reason == "length" -``` - -**C) Track cumulative token budget and flag when exceeded** -```python -cumulative_tokens = len(all_tokens) + len(response.token_ids) -is_truncated = cumulative_tokens >= max_seq_len -``` - -**Decision: Use B (stop_reason) as primary, with C as additional check** - -**Reasoning:** -- `stop_reason == "length"` is explicit and reliable -- Avoids edge cases where model generates EOS but was still truncated -- Additional budget check (C) catches cases where prompt itself is too long -- **Implementation:** - ```python - # After generation - if response.stop_reason == "length": - is_truncated = True - truncation_reason = "generation_length" - - # Also check cumulative budget - if len(all_tokens) >= max_seq_len: - is_truncated = True - truncation_reason = "max_seq_len" - ``` - ---- - -### Q2: What to Do with Truncated Generations? - -**Question:** When a generation is truncated, should we drop it or mask it? - -**Options:** - -**A) Drop the truncated turn entirely (Tinker approach)** -- Remove the partial response from the trajectory -- Episode continues with previous turns intact -- Pros: Clean, no masking confusion -- Cons: Lose partial information - -**B) Keep partial response but mask it (TRL/Verifiers approach)** -- Include partial tokens in batch -- Set `completion_mask = 0` for truncated turn -- Pros: Debugging visibility, no data loss -- Cons: Philosophically weird (rewarded but not trained) - -**Decision: Use A (drop) by default, with B (mask) as config option** - -**Reasoning:** -- Tinker's approach is cleanest for multi-turn -- For blackjack: if model says "HIT" but next turn truncates, we keep the "HIT" turn -- We only drop the INCOMPLETE turn -- **Libraries only use drop or mask - no one trains with gradient on truncated tokens** - -**Implementation:** -```python -# In play_game() -if response.stop_reason == "length": - if cfg.truncation.drop_truncated_generation: - # Don't add this turn to all_tokens/response_mask - # Episode ends here with previous turns intact - is_truncated = True - break - else: - # Add partial tokens but mask them - all_tokens.extend(response.token_ids) - response_mask.extend([0] * len(response.token_ids)) # Mask out - is_truncated = True - break -``` - -**Config:** -```yaml -truncation: - drop_truncated_generation: true # Drop incomplete turn (Tinker approach) - # If false, masks it instead (TRL approach) -``` - ---- - -### Q3: What to Do with Truncated Episodes? - -**Question:** When an episode is truncated (hit max_seq_len or max_turns), should we train on it? - -**Decision: Filter at GRPO loop level with acceptance criteria (not in replay buffer)** - -**Reasoning:** -- Check acceptance BEFORE calling `replay_buffer.add()` to minimize communication -- Acceptance logic stays in GRPO loop, not buried in buffer -- Cleaner separation of concerns - -**Implementation:** -```python -# In continuous_rollouts() - NO FILTERING before ref_model -episodes = [await play_game(...) for _ in range(group_size)] - -# Compute ref_model for ALL episodes -ref_logprobs = await ref_model.forward.route(episodes) - -# Compute advantages for ALL episodes -advantages = await compute_advantages.compute.call_one(episodes) - -# Check acceptance BEFORE adding to buffer (minimize communication) -accepted_episodes = [] -for episode, advantage in zip(episodes, advantages): - episode.advantage = advantage - - # Acceptance criteria (inline, not in replay buffer) - should_accept = True - if episode.is_truncated and not cfg.grpo.accept_truncated: - should_accept = False - record_metric("buffer/rate_rejected_truncated", 1, Reduce.MEAN) - else: - record_metric("buffer/rate_rejected_truncated", 0, Reduce.MEAN) - # Future: Add min_advantage filter here if needed - - if should_accept: - accepted_episodes.append(episode) - -# TODO: Add all episodes at once instead of one by one -for episode in accepted_episodes: - await replay_buffer.add.call_one(episode) -``` - -**Config:** -```yaml -grpo: - accept_truncated: true # Accept truncated episodes (learn from partial success) - # Future: min_advantage, etc. -``` - ---- - -### Q4: Group-Level Filtering? - -**Question:** Should we filter groups before computing advantages? - -**Decision: Drop groups with constant rewards only - keep it simple** - -**Reasoning:** -- If all rewards are identical: std=0, advantages=0/0=NaN → no learning signal -- Simple check: `if len(set(rewards)) == 1: drop group` -- Don't complicate with truncation logic - let acceptance criteria handle that per-episode - -**Implementation:** -```python -# In continuous_rollouts() -# Generate groups (each group is exactly group_size episodes) -all_groups = [] -for group_idx in range(num_groups): - group = [await play_game(...) for _ in range(group_size)] - all_groups.append(group) - -# Filter: Drop groups with constant rewards (no variance = no learning signal) -valid_groups = [] -for group in all_groups: - rewards = [e.reward for e in group] - if len(set(rewards)) > 1: # At least 2 different reward values - valid_groups.append(group) - record_metric("groups/rate_dropped", 0, Reduce.MEAN) # Not dropped - else: - record_metric("groups/rate_dropped", 1, Reduce.MEAN) # Dropped - -if not valid_groups: - continue # Skip this rollout - -# Compute ref_model and advantages for valid groups -# (Groups remain size group_size throughout) -``` - ---- - -### Q5: When to Compute Reference Model? - -**Question:** Should we compute ref_logprobs before or after filtering? - -**Decision: After group filtering, before episode-level acceptance** - -**Reasoning:** -- Filter groups first (constant rewards) to save computation -- Then compute ref_model for all episodes in valid groups -- Episode-level acceptance happens after advantages are computed - -**Implementation:** -```python -# 1. Generate all groups -all_groups = [...] - -# 2. Filter groups FIRST (constant rewards) -valid_groups = [g for g in all_groups if len(set([e.reward for e in g])) > 1] - -# 3. Compute ref_model for all episodes in valid groups -all_valid_episodes = [e for g in valid_groups for e in g] -ref_logprobs = await ref_model.forward.route(all_valid_episodes) - -# 4. Compute advantages per group -for group in valid_groups: - advantages = compute_group_advantages(group) - -# 5. Episode-level acceptance (truncated, min_advantage, etc.) -for episode in all_valid_episodes: - if should_accept(episode): - await replay_buffer.add.call_one(episode) -``` - ---- - -### Q6: Fixed vs Variable Group Sizes? - -**Question:** Should we maintain fixed group sizes or allow variable sizes? - -**Decision: Fixed until advantages, then dissolve** - -**Reasoning:** -- "if a group is size 16, it will stay 16 until its advantages are computed. After that, the concept of group is useless." -- Simplifies advantage computation (no need to handle variable sizes) -- Training doesn't need groups anyway (packed dataset handles variable lengths) - -**Implementation:** -```python -# Groups stay exactly group_size until advantages computed -group_size = cfg.grpo.group_size # e.g., 16 - -# Generate groups (FIXED SIZE) -all_groups = [[await play_game(...) for _ in range(group_size)] for _ in range(num_groups)] - -# Filter groups (maintains FIXED SIZE per group) -valid_groups = [g for g in all_groups if len(set([e.reward for e in g])) > 1] - -# Compute ref_model (groups still FIXED SIZE) -# Compute advantages (groups still FIXED SIZE) - -# NOW groups dissolve - pass individual episodes to acceptance check -for group in valid_groups: - for episode in group: - if should_accept(episode): - await replay_buffer.add.call_one(episode) -``` - ---- - -### Q7: Truncate Tool Results or Drop Entire Turn? - -**Question:** When tool result exceeds budget, should we truncate it or drop the turn? - -**Decision: Truncate to budget by default, drop as config option** - -**Reasoning:** -- Per-tool limits are environment's responsibility, not config -- We only care about overall `max_seq_len` budget -- Similar to `drop_truncated_generation` but for tool results - -**Implementation:** -```python -# In play_game() - when processing tool results -tool_result = await execute_tool(tool_call) - -# Tokenize to check length -tool_result_tokens = tokenizer.encode(tool_result, add_special_tokens=False) - -# Check if it fits in remaining budget -remaining = max_seq_len - len(all_tokens) - -if len(tool_result_tokens) > remaining: - if cfg.truncation.drop_truncated_tool_response: - # Drop the turn entirely (Tinker approach) - is_truncated = True - truncation_reason = "tool_response_too_long" - break - else: - # Truncate to fit (default) - tool_result_tokens = tool_result_tokens[:remaining] - tool_result = tokenizer.decode(tool_result_tokens) - record_metric("truncation/rate_tool_response_truncated", 1, Reduce.MEAN) - -# Add tool response to messages -messages.append({"role": "tool", "content": tool_result}) -``` - -**Config:** -```yaml -truncation: - drop_truncated_generation: true # Drop incomplete LLM generation - drop_truncated_tool_response: false # Truncate tool response by default (don't drop) -``` - ---- - -### Q8: Where to Check Budget - Before or After Generation? - -**Question:** Should we check budget before generating (to prevent partial tokens) or after (to detect truncation)? - -**Decision: Check BEFORE entering while loop, then rely on `stop_reason` during loop** - -**Reasoning:** -- Initial prompt might already exceed budget - check before ANY generation -- Inside loop: `remaining` will always be >= 0 after first check -- Use `stop_reason == "length"` to detect truncation during loop -- Simpler than checking before every generation - -**Tinker's pattern (for reference):** -```python -# tinker-cookbook/tinker_cookbook/rl/rollouts.py -async def do_single_rollout(policy: TokenCompleter, env: Env) -> Trajectory: - """Simple rollout loop - one episode""" - transitions = [] - ob, stop_condition = await env.initial_observation() - - while True: - ac_with_logprobs = await policy(ob, stop_condition) - step_result = await env.step(ac_with_logprobs.tokens) - transition = Transition( - ob=ob, - ac=ac_with_logprobs, - reward=step_result.reward, - episode_done=step_result.episode_done, - metrics=step_result.metrics, - ) - transitions.append(transition) - - if step_result.episode_done: # Env decides when to stop - break - - ob = step_result.next_observation - stop_condition = step_result.next_stop_condition - - return Trajectory(transitions=transitions, final_ob=ob) - -# And the outer function: -async def do_group_rollout(env_group_builder, policy) -> TrajectoryGroup: - """Rollout a group of episodes in parallel""" - envs = await env_group_builder.make_envs() - trajectories = await asyncio.gather(*[ - do_single_rollout(policy, env) for env in envs - ]) - # ... compute rewards ... - return TrajectoryGroup(trajectories, rewards, metrics) -``` - -**Our implementation:** -```python -async def play_single_game( - game_id: str, - server_url: str, - policy: Generator, - tokenizer, - max_seq_len: int, - max_turns: int, -) -> Episode: - """Play one game - returns single episode""" - messages = [{"role": "system", "content": "..."}] - all_tokens = [] - all_logprobs = [] - response_mask = [] - is_truncated = False - - env = OpenSpielEnv(base_url=server_url) - result = env.reset() - - # Initial prompt check (BEFORE while loop) - initial_prompt = tokenizer.apply_chat_template(messages, ...) - initial_tokens = tokenizer.encode(initial_prompt, add_special_tokens=False) - - if len(initial_tokens) >= max_seq_len: - # Initial prompt too large - return truncated episode immediately - return Episode( - is_truncated=True, - truncation_reason="initial_prompt_exceeds_budget", - all_token_ids=torch.tensor(initial_tokens[:max_seq_len]), - # ... minimal episode - ) - - turn_num = 0 - while not result.done and turn_num < max_turns: - # Build prompt for this turn - messages.append({"role": "user", "content": format_game_state(result.observation)}) - prompt_text = tokenizer.apply_chat_template(messages, ...) - prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) - - # Calculate remaining budget - remaining = max_seq_len - len(prompt_tokens) - - if remaining <= 0: - # No budget left for generation - is_truncated = True - truncation_reason = "max_seq_len" - break - - # Generate with remaining budget - response = await policy.generate.route( - [prompt_text], - sampling_params={"max_tokens": remaining} - ) - - # Check if truncated by vLLM - if response.stop_reason == "length": - is_truncated = True - truncation_reason = "generation_length" - if cfg.truncation.drop_truncated_generation: - break # Drop this turn - else: - # Mask this turn - all_tokens.extend(prompt_tokens) - all_tokens.extend(response.token_ids) - response_mask.extend([0] * (len(prompt_tokens) + len(response.token_ids))) - break - - # Accumulate tokens - all_tokens.extend(prompt_tokens) - all_tokens.extend(response.token_ids) - response_mask.extend([0] * len(prompt_tokens)) - response_mask.extend([1] * len(response.token_ids)) - all_logprobs.extend([0.0] * len(prompt_tokens)) - all_logprobs.extend(response.logprobs) - - # Add to messages and continue - messages.append({"role": "assistant", "content": response.text}) - action = parse_action(response.text) - result = env.step(OpenSpielAction(action_id=action, game_name="blackjack")) - turn_num += 1 - - # Create episode - return Episode( - episode_id=game_id, - is_truncated=is_truncated, - truncation_reason=truncation_reason, - all_token_ids=torch.tensor(all_tokens), - logprobs=torch.tensor(all_logprobs), - response_mask=torch.tensor(response_mask), - reward=calculate_reward(result.reward), - message_log=messages, - # ... - ) - -# Outer function for group rollout -async def rollout_group( - group_size: int, - server_url: str, - policy: Generator, - tokenizer, - max_seq_len: int, - max_turns: int, -) -> list[Episode]: - """Rollout group_size games in parallel""" - games = [ - play_single_game( - game_id=str(uuid.uuid4()), - server_url=server_url, - policy=policy, - tokenizer=tokenizer, - max_seq_len=max_seq_len, - max_turns=max_turns, - ) - for _ in range(group_size) - ] - return await asyncio.gather(*games) -``` - ---- - -## Final Configuration Schema - -```yaml -# apps/blackjack/qwen3_1_7b.yaml - -blackjack_env: - max_seq_len: 2048 # Episode-level budget (all turns) - max_turns: 10 # Hard limit on turns per episode - -grpo: - group_size: 16 # Fixed group size (stays 16 until advantages computed) - accept_truncated: true # Accept truncated episodes (learn from partial success) - # Future: min_advantage, etc. - -truncation: - # How to handle truncated generations (LLM responses) - drop_truncated_generation: true # Drop incomplete turn (Tinker approach) - # If false, masks it (TRL approach) - - # How to handle truncated tool responses - drop_truncated_tool_response: false # Truncate to budget (default) - # If true, drop turn entirely (Tinker approach) - -policy: - engine_args: - enable_prefix_caching: true # Critical for multi-turn - max_model_len: 4096 -``` - ---- - -## Summary Decision Table - -| Design Question | Decision | Reasoning | -|----------------|----------|-----------| -| **Detect truncation** | `stop_reason == "length"` + budget check | Explicit and reliable | -| **Truncated generation** | Drop by default | Clean, libraries only drop or mask (never train with gradient) | -| **Truncated episode** | Filter at GRPO loop level | Check before adding to buffer, minimize communication | -| **Group filtering** | Drop groups with constant rewards only | Simple, efficient | -| **Ref model timing** | After group filtering, before episode acceptance | Process all valid groups (fixed size) | -| **Group sizes** | Fixed until advantages, then dissolve | Simplifies advantage computation | -| **Tool results** | Truncate by default, drop as option | Env controls per-tool limits | -| **Budget check** | Before while loop + stop_reason during loop | Simpler than checking every iteration | -| **Rollout structure** | Separate `play_single_game()` and `rollout_group()` | Matches Tinker pattern, clean separation | - ---- - -**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation_v3.md b/brainstorming_forge_tau/changes/3_truncation_v3.md deleted file mode 100644 index 854dfbfc3..000000000 --- a/brainstorming_forge_tau/changes/3_truncation_v3.md +++ /dev/null @@ -1,627 +0,0 @@ -# Part 3: Truncation Handling for Multi-Turn Episodes - -## Problem - -**Multi-turn episodes can exceed token budgets in multiple ways:** -1. Initial prompt already too large (rare but possible) -2. Generation truncated mid-response by vLLM (hit `max_tokens` limit) -3. Cumulative tokens across turns exceed `max_seq_len` (episode budget) -4. Tool results too long to fit in remaining budget -5. Episode hits `max_turns` limit before natural completion - -**Why this matters:** -- Truncated generations produce incomplete responses (e.g., "HI" instead of "HIT") -- Training on partial tokens can confuse the model -- Groups with all-truncated episodes have no variance (no learning signal) -- Need to decide: drop incomplete data or mask it out during training? - -**Root cause:** No unified strategy for detecting truncation, handling partial episodes, and filtering at group vs episode level. - ---- - -## Solution: Episode-Level Budget with Multi-Level Filtering - -**Key insights from library investigation (TRL, VERL, NeMo-RL, Tinker, Verifiers):** -1. All libraries check vLLM's `stop_reason == "length"` to detect truncation -2. All libraries only **drop** or **mask** truncated generations - none train with gradient on partial tokens -3. Most filter at two levels: **group-level** (constant rewards) and **episode-level** (acceptance criteria) -4. Reference model timing varies: compute for all episodes (TRL) vs only kept episodes (Tinker) - -**Our architecture (based on Tinker's efficient pattern):** -``` -Rollout Group Filter Episode Filter Replay Buffer - ↓ ↓ ↓ ↓ -do_single_rollout() Drop constant reward Acceptance criteria Add accepted episodes -returns Episode groups (no variance) (truncated, min_adv) for training -``` - -**Fixed group sizes until advantages computed, then dissolve** - training doesn't need groups (packed dataset handles variable lengths). - ---- - -## Current State (from PLAN.md) - -### Rollout Loop Checks Budget Per-Turn -```python -async def play_game(..., max_seq_len: int = 2048, max_turns: int = 10): - # Check if prompt exceeds budget - if len(prompt_tokens) >= max_seq_len: - is_truncated = True - truncation_reason = "max_seq_len" - break - - # Generate with remaining budget - remaining = max_seq_len - len(prompt_tokens) - responses = await policy.generate.route([prompt_text], - sampling_params={"max_tokens": remaining}) - - # Check if generation was cut off - if response.stop_reason == "length": - is_truncated = True - truncation_reason = "generation_length" -``` - -**Problems:** -1. Budget check happens inside while loop on every iteration (inefficient) -2. No group-level filtering for constant rewards -3. No episode-level acceptance criteria (truncated episodes always added to buffer) -4. Reference model computed for all episodes even if we'll drop them -5. No structured rollout pattern (mixing game logic with token tracking) - ---- - -## New State: Complete Rollout and Training Loop - -### Architecture Overview - -**Two-function pattern (from Tinker):** -- `do_single_rollout()`: Plays one game, returns one Episode -- `rollout_group()`: Plays group_size games in parallel, returns list[Episode] - -**Filtering happens at three levels:** -1. **Generation-level**: Drop or mask truncated LLM responses (per-turn decision) -2. **Group-level**: Drop groups with constant rewards (no learning signal) -3. **Episode-level**: Acceptance criteria before adding to buffer (is_truncated, min_advantage, etc.) - -### Design Decisions - -Below are the 8 key design decisions for truncation handling. Each section includes a brief explanation of the decision and how it's implemented in the loop. - ---- - -#### Decision 1: Detecting Truncation - -**Decision:** Use `stop_reason == "length"` as primary signal, with budget check as fallback. - -**Why:** vLLM's `stop_reason` field is explicit and reliable - no need to guess based on EOS tokens. We also check cumulative budget to catch cases where the prompt itself exceeds `max_seq_len`. - -**Implementation notes:** -- Check initial prompt length BEFORE entering while loop (avoid wasted generation) -- Inside loop: rely on `stop_reason == "length"` to detect mid-generation truncation -- After each turn: budget check happens naturally (prompt includes all previous turns) - ---- - -#### Decision 2: Handling Truncated Generations - -**Decision:** Drop incomplete turn by default (Tinker approach), with masking as config option. - -**Why:** Clean and simple - if model says "HI" (truncated "HIT"), we don't want to train on that. All investigated libraries offer only two options: drop or mask. **No library trains with gradient on truncated tokens** - masking means `response_mask=0` (zero gradient but kept in batch for ref_model). - -**Implementation notes:** -- If `stop_reason == "length"` and `drop_truncated_generation=True`: break loop, don't add tokens -- If `stop_reason == "length"` and `drop_truncated_generation=False`: add tokens but set `response_mask=0` -- Episode still gets final reward (it influenced the outcome), but incomplete turn doesn't contribute gradients - ---- - -#### Decision 3: Handling Truncated Episodes - -**Decision:** Filter at GRPO loop level with acceptance criteria, checked BEFORE adding to replay buffer. - -**Why:** Minimize communication by checking acceptance before `replay_buffer.add()`. Keeps acceptance logic in GRPO loop (visible), not buried in buffer internals. Allows flexibility for future criteria (min_advantage, etc.). - -**Implementation notes:** -- Compute ref_model and advantages for all episodes first -- Loop through episodes and check acceptance criteria -- Only call `replay_buffer.add()` for accepted episodes -- Record metrics for rejection reasons (rate_rejected_truncated, etc.) - ---- - -#### Decision 4: Group-Level Filtering - -**Decision:** Drop groups with constant rewards only - keep it simple. - -**Why:** If all rewards are identical, `std=0` and advantages become `NaN` (no learning signal). Simple check: `if len(set(rewards)) == 1: drop group`. Don't complicate with truncation logic - episode-level acceptance handles that. - -**Implementation notes:** -- Generate all groups (each exactly `group_size` episodes) -- Filter groups before ref_model computation (save compute) -- Record `groups/rate_dropped` metric with 0 or 1 values -- If no valid groups, skip this rollout iteration - ---- - -#### Decision 5: Reference Model Timing - -**Decision:** Compute after group filtering, before episode-level acceptance. - -**Why:** Filter out useless groups first (constant rewards) to save compute. Then compute ref_model for all episodes in valid groups. Episode-level acceptance happens after advantages computed (need advantages to check min_advantage criterion). - -**Implementation notes:** -- Group filtering reduces episode count (saves ref_model compute) -- Ref_model processes all episodes in valid groups (still fixed size per group) -- Episode-level acceptance happens after advantages assigned -- Groups maintain fixed size until advantages computed, then dissolve - ---- - -#### Decision 6: Fixed vs Variable Group Sizes - -**Decision:** Fixed group size (e.g., 16) until advantages computed, then dissolve. - -**Why:** Simplifies advantage computation (no need to handle variable sizes). Training doesn't need groups anyway - packed dataset handles variable lengths. Groups are only for GRPO advantage normalization. - -**Implementation notes:** -- Generate exactly `group_size` episodes per group -- Group filtering maintains fixed size (drop entire group, not individual episodes) -- After advantages computed, pass individual episodes to acceptance check -- Replay buffer receives individual episodes (no concept of groups) - ---- - -#### Decision 7: Handling Truncated Tool Responses - -**Decision:** Truncate to budget by default, drop turn as config option. - -**Why:** Environment controls per-tool limits (not our config). We only care about overall `max_seq_len` budget. Truncating tool response is less destructive than dropping entire turn. - -**Implementation notes:** -- Tokenize tool result and check remaining budget -- If exceeds: truncate tokens to fit (default) or drop turn entirely (config option) -- Record `truncation/rate_tool_response_truncated` metric -- Similar pattern to `drop_truncated_generation` but for tool results - ---- - -#### Decision 8: Budget Check Timing - -**Decision:** Check BEFORE entering while loop (initial prompt), then rely on `stop_reason` during loop. - -**Why:** Initial prompt might already exceed budget - catch this early. Inside loop: budget is implicitly checked (prompt includes all turns, we set `max_tokens=remaining`). Simpler than checking before every generation. - -**Implementation notes:** -- Before while loop: tokenize initial prompt and check `len >= max_seq_len` -- If exceeds: return truncated episode immediately (avoid wasted generation) -- Inside loop: calculate `remaining = max_seq_len - len(prompt_tokens)` and pass to vLLM -- vLLM handles truncation via `stop_reason == "length"`, we react accordingly - ---- - -## Complete Implementation - -### 1. Play Single Game (Rollout Function) - -This function follows Tinker's `do_single_rollout()` pattern - simple while loop, environment decides when to stop. - -```python -async def do_single_rollout( - game_id: str, - server_url: str, - policy: Generator, - tokenizer, - max_seq_len: int = 2048, - max_turns: int = 10, -) -> Episode: - """ - Play one blackjack game - returns single episode with all turns. - - Budget tracking (Decision 1, 8): - - Check initial prompt BEFORE while loop - - Inside loop: rely on stop_reason to detect truncation - - Dynamic max_tokens = max_seq_len - len(prompt_tokens) - - Truncation handling (Decision 2): - - If stop_reason == "length": drop or mask based on config - - Episode marked as is_truncated with reason - """ - messages = [ - {"role": "system", "content": "You are an expert BlackJack player..."} - ] - - all_tokens = [] - all_logprobs = [] - response_mask = [] - is_truncated = False - truncation_reason = None - - env = OpenSpielEnv(base_url=server_url) - result = env.reset() - - # ============ Decision 8: Check initial prompt BEFORE while loop ============ - initial_prompt = tokenizer.apply_chat_template(messages, - add_generation_prompt=True, - tokenize=False) - initial_tokens = tokenizer.encode(initial_prompt, add_special_tokens=False) - - if len(initial_tokens) >= max_seq_len: - # Initial prompt too large - return truncated episode immediately - return Episode( - episode_id=game_id, - task_name="blackjack", - is_truncated=True, - truncation_reason="initial_prompt_exceeds_budget", - all_token_ids=torch.tensor(initial_tokens[:max_seq_len]), - logprobs=torch.zeros(max_seq_len), - response_mask=torch.zeros(max_seq_len), - reward=0, # No game played - metadata={"num_turns": 0} - ) - - turn_num = 0 - while not result.done and turn_num < max_turns: - # Build user message with game state - player_total = result.observation.metadata.get("player_total", "?") - dealer_card = result.observation.metadata.get("dealer_card", "?") - - state_desc = f"Your hand total: {player_total}\n" - state_desc += f"Dealer shows: {dealer_card}\n" - state_desc += "What do you do? Output only 'HIT' or 'STAND'." - - messages.append({"role": "user", "content": state_desc}) - - # ============ Decision 1, 8: Format and check budget ============ - prompt_text = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=False - ) - prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) - - # Check remaining budget - remaining = max_seq_len - len(prompt_tokens) - if remaining <= 0: - # No budget left for generation - is_truncated = True - truncation_reason = "max_seq_len" - break - - # Generate with remaining budget - response = await policy.generate.route( - [prompt_text], - sampling_params={"max_tokens": remaining} - ) - response = response[0] - - # ============ Decision 1, 2: Check if truncated by vLLM ============ - if response.stop_reason == "length": - is_truncated = True - truncation_reason = "generation_length" - - if cfg.truncation.drop_truncated_generation: - # Drop this turn entirely - don't add tokens - break - else: - # Mask this turn - add tokens but set response_mask=0 - all_tokens.extend(prompt_tokens) - all_tokens.extend(response.token_ids) - response_mask.extend([0] * (len(prompt_tokens) + len(response.token_ids))) - all_logprobs.extend([0.0] * len(prompt_tokens)) - all_logprobs.extend(response.logprobs) - break - - # ============ Accumulate tokens (normal case) ============ - all_tokens.extend(prompt_tokens) - all_tokens.extend(response.token_ids) - response_mask.extend([0] * len(prompt_tokens)) # Don't train on prompts - response_mask.extend([1] * len(response.token_ids)) # Train on responses - all_logprobs.extend([0.0] * len(prompt_tokens)) - all_logprobs.extend(response.logprobs) - - # Parse and execute action - messages.append({"role": "assistant", "content": response.text}) - action = parse_action(response.text) # Returns "HIT", "STAND", or "INVALID" - - if action == "INVALID": - action = "STAND" # Fallback - action_id = 1 - elif action == "HIT": - action_id = 0 - else: # STAND - action_id = 1 - - result = env.step(OpenSpielAction(action_id=action_id, game_name="blackjack")) - turn_num += 1 - - # Check if hit max_turns - if turn_num >= max_turns and not result.done: - is_truncated = True - truncation_reason = "max_turns" - - # Calculate final reward - env_reward = result.reward - reward = calculate_reward(env_reward) # Custom shaping: Win=+3, Loss=-1 - - # Create episode - return Episode( - episode_id=game_id, - task_name="blackjack", - generator_version=0, # TODO: Get from policy - is_truncated=is_truncated, - all_token_ids=torch.tensor(all_tokens, dtype=torch.long), - logprobs=torch.tensor(all_logprobs, dtype=torch.float), - response_mask=torch.tensor(response_mask, dtype=torch.float), - reward=reward, - advantage=None, # Computed later - ref_logprobs=None, # Computed later - message_log=messages, - metadata={ - "num_turns": turn_num, - "env_reward": env_reward, - "truncation_reason": truncation_reason, - } - ) -``` - -**Key implementation notes:** -- Initial prompt check happens once before loop (Decision 8) -- Budget naturally enforced inside loop via `max_tokens=remaining` (Decision 1) -- Truncated generation handling: drop or mask based on config (Decision 2) -- Returns single Episode with all turns concatenated - ---- - -### 2. Rollout Group (Outer Function) - -This function follows Tinker's `do_group_rollout()` pattern - parallel execution, fixed group size. - -```python -async def rollout_group( - group_size: int, - server_url: str, - policy: Generator, - tokenizer, - max_seq_len: int, - max_turns: int, -) -> list[Episode]: - """ - Rollout group_size games in parallel. - - Group stays exactly group_size until returned (Decision 6). - No filtering at this level - happens in continuous_rollouts(). - """ - rollouts = [ - do_single_rollout( - game_id=str(uuid.uuid4()), - server_url=server_url, - policy=policy, - tokenizer=tokenizer, - max_seq_len=max_seq_len, - max_turns=max_turns, - ) - for _ in range(group_size) - ] - return await asyncio.gather(*rollouts) -``` - -**Key implementation notes:** -- Exactly `group_size` episodes returned (Decision 6) -- Parallel execution via `asyncio.gather()` -- Simple wrapper - filtering happens at higher level - ---- - -### 3. Continuous Rollouts (Main GRPO Loop) - -This is where all filtering decisions happen (Decisions 3, 4, 5, 6). - -```python -async def continuous_rollouts(tokenizer): - """ - Main GRPO rollout loop with multi-level filtering. - - Flow: - 1. Generate groups (fixed size) - 2. Filter groups (constant rewards) - Decision 4 - 3. Compute ref_model for valid groups - Decision 5 - 4. Compute advantages (groups still fixed size) - 5. Episode-level acceptance (groups dissolve) - Decision 3, 6 - 6. Add accepted episodes to buffer - """ - server_url = cfg.blackjack_env.server_url - max_seq_len = cfg.blackjack_env.max_seq_len - max_turns = cfg.blackjack_env.max_turns - group_size = cfg.grpo.group_size - num_groups = cfg.grpo.get("num_groups_per_rollout", 4) - - while not shutdown_event.is_set(): # TODO: why shutdown_event and not just while true? - # ============ Step 1: Generate all groups (Decision 6: Fixed size) ============ - all_groups = [] #TODO: remove this logic of "all_groups". We do one group per loop, no? - for group_idx in range(num_groups): - group = await rollout_group( - group_size=group_size, - server_url=server_url, - policy=policy, - tokenizer=tokenizer, - max_seq_len=max_seq_len, - max_turns=max_turns, - ) - all_groups.append(group) - - # ============ Step 2: Filter groups (Decision 4: Constant rewards) ============ - valid_groups = [] - for group in all_groups: - rewards = [e.reward for e in group] - if len(set(rewards)) > 1: # At least 2 different reward values - valid_groups.append(group) - record_metric("groups/rate_dropped", 0, Reduce.MEAN) - else: - record_metric("groups/rate_dropped", 1, Reduce.MEAN) - - if not valid_groups: - # All groups had constant rewards - skip this rollout - continue - - # ============ Step 3: Compute ref_model for valid groups (Decision 5) ============ - # Flatten valid groups to list of episodes (groups still conceptually intact) - all_valid_episodes = [e for g in valid_groups for e in g] - - # Pad to max length in batch - max_len = max(len(e.all_token_ids) for e in all_valid_episodes) - padded_tokens = [] - for episode in all_valid_episodes: - seq_len = len(episode.all_token_ids) - pad_len = max_len - seq_len - padded = F.pad(episode.all_token_ids, (0, pad_len), value=pad_id) - padded_tokens.append(padded) - - input_ids = torch.stack(padded_tokens) # [batch, max_len] - - # Compute ref_model logprobs - ref_logprobs = await ref_model.forward.route( - input_ids, - 0, # No separate prompt length (response_mask handles it) - return_logprobs=True - ) - - # Assign ref_logprobs to episodes (unpad) - for i, episode in enumerate(all_valid_episodes): - seq_len = len(episode.all_token_ids) - episode.ref_logprobs = ref_logprobs[i, :seq_len] - - del ref_logprobs, input_ids - - # ============ Step 4: Compute advantages per group (Decision 6: Groups still fixed) ============ - for group in valid_groups: - advantages = await compute_advantages.compute.call_one(group) - for episode, advantage in zip(group, advantages): - episode.advantage = advantage - - # ============ Step 5: Episode-level acceptance (Decision 3, 6: Groups dissolve) ============ - accepted_episodes = [] - for group in valid_groups: - for episode in group: - should_accept = True - - # Acceptance criterion: is_truncated - if episode.is_truncated and not cfg.grpo.accept_truncated: - should_accept = False - record_metric("buffer/rate_rejected_truncated", 1, Reduce.MEAN) - else: - record_metric("buffer/rate_rejected_truncated", 0, Reduce.MEAN) - - # Future: Add min_advantage criterion here - # if episode.advantage < cfg.grpo.min_advantage: - # should_accept = False - - if should_accept: - accepted_episodes.append(episode) - - # ============ Step 6: Add to replay buffer (Decision 3) ============ - # TODO: Add all episodes at once instead of one by one - for episode in accepted_episodes: - await replay_buffer.add.call_one(episode) - - record_metric("buffer/episodes_accepted", len(accepted_episodes), Reduce.SUM) - record_metric("buffer/episodes_generated", len(all_valid_episodes), Reduce.SUM) -``` - -**Key implementation notes:** -- Groups generated with fixed size (Decision 6) -- Group filtering before ref_model saves compute (Decision 4, 5) -- Ref_model computed for all episodes in valid groups (Decision 5) -- Advantages computed per group (groups still intact, Decision 6) -- Episode-level acceptance after advantages (groups dissolve, Decision 3, 6) -- Acceptance logic in GRPO loop, not replay buffer (Decision 3) - ---- - -## Configuration Schema - -All design decisions are controlled via config: - -```yaml -# apps/blackjack/qwen3_1_7b.yaml - -blackjack_env: - max_seq_len: 2048 # Episode-level budget (all turns) - Decision 8 - max_turns: 10 # Hard limit on turns per episode - -grpo: - group_size: 16 # Fixed group size (stays 16 until advantages computed) - Decision 6 - num_groups_per_rollout: 4 # How many groups to generate per rollout iteration - accept_truncated: true # Accept truncated episodes - Decision 3 - # Set to false to drop incomplete episodes - # Future: min_advantage filter - -truncation: - # How to handle truncated generations (LLM responses) - Decision 2 - drop_truncated_generation: true # Drop incomplete turn (Tinker approach) - # If false, masks it (TRL approach) - - # How to handle truncated tool responses - Decision 7 - drop_truncated_tool_response: false # Truncate to budget (default) - # If true, drop turn entirely - -policy: - engine_args: - enable_prefix_caching: true # Critical for multi-turn (2-3x speedup) - max_model_len: 4096 # vLLM model context length -``` - ---- - -## Summary of Design Decisions - -| Decision | Choice | Config | -|----------|--------|--------| -| **1. Detect truncation** | `stop_reason == "length"` + budget check | N/A | -| **2. Truncated generation** | Drop by default (Tinker) | `truncation.drop_truncated_generation` | -| **3. Truncated episode** | Filter at GRPO loop before buffer | `grpo.accept_truncated` | -| **4. Group filtering** | Drop groups with constant rewards | N/A (always enabled) | -| **5. Ref model timing** | After group filter, before episode filter | N/A | -| **6. Group sizes** | Fixed (16) until advantages, then dissolve | `grpo.group_size` | -| **7. Tool results** | Truncate by default, drop as option | `truncation.drop_truncated_tool_response` | -| **8. Budget check** | Before while loop + stop_reason during loop | `blackjack_env.max_seq_len` | - -**Key principle:** All libraries only **drop** or **mask** truncated generations - none train with gradient on partial tokens. Masking means `response_mask=0` (zero gradient but kept in batch for ref_model). - ---- - -## Benefits - -1. **Efficient budget tracking**: Check initial prompt once, rely on `stop_reason` during loop -2. **Flexible truncation handling**: Drop or mask via config (matches library patterns) -3. **Multi-level filtering**: Groups (constant rewards) → Episodes (acceptance criteria) -4. **Optimized ref_model**: Compute after group filtering (save compute on dropped groups) -5. **Fixed group sizes**: Simplifies advantage computation (variable lengths handled in training) -6. **Clean rollout structure**: Separate `do_single_rollout()` and `rollout_group()` (matches Tinker) -7. **Extensible acceptance**: Easy to add min_advantage, max_length, etc. -8. **Proper metrics**: Track truncation reasons, rejection rates, group drop rates - ---- - -## Migration from Current PLAN.md - -### Changes to `play_game()`: -1. Move budget check BEFORE while loop (only check initial prompt once) -2. Add truncated generation handling (drop vs mask based on config) -3. Return truncated episode immediately if initial prompt exceeds budget - -### Changes to `continuous_rollouts()`: -1. Add group generation loop (`rollout_group()` wrapper) -2. Add group-level filtering (constant rewards) -3. Compute ref_model for valid groups only -4. Add episode-level acceptance criteria before buffer -5. Record new metrics (rate_dropped, rate_rejected_truncated) - -### Changes to config: -1. Add `grpo.accept_truncated` flag -2. Add `truncation.drop_truncated_generation` flag -3. Add `truncation.drop_truncated_tool_response` flag (future tool calling) -4. Add `grpo.num_groups_per_rollout` parameter - ---- - -**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation_v4_abstraction_fixes.md b/brainstorming_forge_tau/changes/3_truncation_v4_abstraction_fixes.md deleted file mode 100644 index 11ce1da89..000000000 --- a/brainstorming_forge_tau/changes/3_truncation_v4_abstraction_fixes.md +++ /dev/null @@ -1,876 +0,0 @@ -# Truncation V4: Abstraction Fixes and Design Corrections - -**Date:** 2025-01-16 -**Purpose:** Address critical issues in V3 and establish proper environment/dataset abstractions based on investigation of Tinker, VERL, OpenEnv, TRL, and NeMo-RL. - ---- - -## Easy Fixes (Quick Wins) - -### Issue 1: Redundant Initial Prompt Check ❌ DELETE - -**Problem:** Decision 8 suggests checking initial prompt before while loop, but this is redundant. - -**Why it doesn't work:** -- The while loop naturally handles this on first iteration -- Adds complexity for zero benefit -- First turn already checks budget before generation - -**Fix:** Remove the initial prompt check entirely. - -```python -# ❌ DELETE THIS (from V3) -initial_prompt = tokenizer.apply_chat_template(messages, ...) -initial_tokens = tokenizer.encode(initial_prompt, add_special_tokens=False) -if len(initial_tokens) >= max_seq_len: - return Episode(is_truncated=True, ...) - -# ✅ KEEP ONLY THIS (let while loop handle it) -while not result.done and turn_num < max_turns: - # Build prompt - prompt_text = tokenizer.apply_chat_template(messages, ...) - prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) - - # Check budget naturally - remaining = max_seq_len - len(prompt_tokens) - if remaining <= 0: - is_truncated = True - break -``` - ---- - -### Issue 2: Generator Version from Completion ✅ FIX - -**Problem:** V3 hardcodes `generator_version=0` - -**Solution:** Extract from completion object. - -```python -# ✅ Correct way -response = await policy.generate.route([prompt_text], ...) -response = response[0] - -episode = Episode( - generator_version=response.generator_version, # From completion! - ... -) -``` - ---- - -### Issue 3: Timeout on Policy Generation ⚠️ OPTIONAL - -**Investigation results:** -- **TRL:** No timeout -- **VERL:** Timeout only on reward computation (300s) -- **NeMo-RL:** YES - 600s default via env var `NRL_VLLM_ASYNC_TIMEOUT_SECONDS` -- **Tinker:** No timeout -- **Verifiers:** YES - 600s configurable via `generation_timeout` - -**Recommendation:** Add timeout as **optional config**, not hardcoded. - -```python -# ✅ Configurable timeout (optional) -timeout = cfg.blackjack_env.get("generation_timeout", None) # None = no timeout - -if timeout is not None: - responses = await asyncio.wait_for( - policy.generate.route([prompt_text], sampling_params={"max_tokens": remaining}), - timeout=timeout - ) -else: - responses = await policy.generate.route( - [prompt_text], - sampling_params={"max_tokens": remaining} - ) -``` - -**Config:** -```yaml -blackjack_env: - generation_timeout: 600.0 # Optional, omit for no timeout -``` - ---- - -### Issue 4: Double Padding Bug ❌ CRITICAL - -**Problem:** We pad in both `continuous_rollouts()` AND `collate()`. - -**Root cause:** Misunderstanding of when to pad. - -**Investigation:** -- **Reference model** should receive padded batch (for efficient batching) -- **Collate** also needs to pad (for training batch) -- But we're padding the SAME data twice! - -**Fix:** Pad only ONCE for ref_model, store ref_logprobs unpadded, then pad again in collate. - -```python -# ✅ In continuous_rollouts() - pad for ref_model -max_len = max(len(e.all_token_ids) for e in episodes) -padded_tokens = [] -for episode in episodes: - seq_len = len(episode.all_token_ids) - pad_len = max_len - seq_len - padded = F.pad(episode.all_token_ids, (0, pad_len), value=pad_id) - padded_tokens.append(padded) - -input_ids = torch.stack(padded_tokens) # [batch, max_len] - -# Get reference logprobs (padded) -ref_logprobs_padded = await ref_model.forward.route(input_ids, 0, return_logprobs=True) - -# Assign ref_logprobs to episodes (UNPAD them!) -for i, episode in enumerate(episodes): - seq_len = len(episode.all_token_ids) - episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] # Unpad! - -# ✅ In collate() - pad AGAIN for training batch -# (Different episodes, different max_len) -for batch in batches: - max_len = max(len(e.all_token_ids) for e in batch) - # ... pad all_token_ids, ref_logprobs, response_mask, logprobs ... -``` - -This is correct because: -- Rollout groups may have different max lengths than training batches -- We need flexibility to batch differently during training -- Storing unpadded in Episode keeps data clean - ---- - -### Issue 5: Naive Slicing Bug with Response Mask ❌ CRITICAL - -**Problem from V3:** -```python -# ❌ WRONG - ignores response_mask! -episode.ref_logprobs = ref_logprobs[i, :seq_len] -``` - -**Why it's wrong:** -- `ref_logprobs` includes logprobs for ALL tokens (prompt + response) -- We only care about response tokens (where `response_mask=1`) -- Should NOT naively slice - must respect the mask - -**Actually... wait, this is fine:** - -The `ref_logprobs` tensor is `[batch, seq_len]` where `seq_len` includes both prompt and response tokens. The `response_mask` will be applied LATER during loss computation to zero out prompt token contributions. - -**So the slicing is correct!** We store ref_logprobs for all tokens, and mask is applied during training. - -**Re-verification:** -```python -# Episode stores: -all_token_ids: [prompt1_tokens, response1_tokens, prompt2_tokens, response2_tokens] -response_mask: [0, 0, 0, ..., 1, 1, 1, ..., 0, 0, 0, ..., 1, 1, 1, ...] -ref_logprobs: [lp_p1, ..., lp_r1, ..., lp_p2, ..., lp_r2, ...] - -# During loss computation: -masked_ref_logprobs = ref_logprobs * response_mask # Zeros out prompt logprobs -# This is correct! -``` - -**Conclusion:** Issue 5 is NOT a bug. The slicing is correct. The mask is applied during training. - ---- - -## Complex Issue: Environment/Dataset Abstraction - -### Investigation Summary - -I investigated 5 frameworks to understand best practices: - -| Framework | Env Abstraction | Who Builds Prompts | Multi-Turn | Dataset Role | -|-----------|-----------------|-------------------|------------|--------------| -| **Tinker** | ✅ Yes (`Env` ABC) | Environment (via Renderer) | ✅ Yes | Provides `EnvGroupBuilder` | -| **VERL** | ⚠️ Agent Loop (not Env) | Agent Loop | ✅ Yes | Provides messages + config | -| **OpenEnv** | ✅ Yes (`Environment` class) | Agent (outside env) | ✅ Yes | Separate from env | -| **TRL** | ❌ No | Dataset | ❌ No | Provides formatted prompts | -| **NeMo-RL** | ✅ Yes (`EnvironmentInterface`) | Env appends observations | ✅ Yes | Provides initial messages | - -### Key Insights - -#### 1. **Tinker's Approach (Best for Us)** - -**Architecture:** -``` -Dataset → EnvGroupBuilder → Env (with Renderer) → Rollout Loop -``` - -**Key principles:** -- **Observations are pre-formatted prompts** (`tinker.ModelInput` - already tokenized) -- **Environment owns prompt building** via injected `Renderer` -- **Renderer handles model-specific formatting** (Llama3 vs Qwen3) -- **Environment handles task-specific logic** (check answer, compute reward) -- **Rollout loop is 100% generic** - no task-specific code - -**Example:** -```python -# Environment (task-specific) -class BlackjackEnv(Env): - def __init__(self, renderer: Renderer, server_url: str): - self.renderer = renderer - self.server_url = server_url - self.messages = [{"role": "system", "content": "You are an expert..."}] - - async def initial_observation(self) -> tuple[Observation, StopCondition]: - # Reset game - result = self.game_client.reset() - # Build user message - self.messages.append({"role": "user", "content": self._format_game_state(result)}) - # Render to tokenized prompt - obs = self.renderer.build_generation_prompt(self.messages) - return obs, self.renderer.stop_condition - - async def step(self, action: list[int]) -> StepResult: - # Parse action using renderer - message, parse_success = self.renderer.parse_response(action) - - # Extract action from parsed message (task-specific) - action_name = self._parse_action(message["content"]) - - # Execute in game (task-specific) - result = self.game_client.step(action_name) - - # Compute reward (task-specific) - reward = self._compute_reward(result) - - # Build next observation - if not result.done: - self.messages.append(message) - self.messages.append({"role": "user", "content": self._format_game_state(result)}) - next_obs = self.renderer.build_generation_prompt(self.messages) - else: - next_obs = tinker.ModelInput.empty() - - return StepResult( - reward=reward, - episode_done=result.done, - next_observation=next_obs, - next_stop_condition=self.renderer.stop_condition, - ) - -# Rollout loop (100% generic) -async def do_single_rollout(policy: TokenCompleter, env: Env) -> Trajectory: - transitions = [] - ob, stop_condition = await env.initial_observation() - while True: - ac_with_logprobs = await policy(ob, stop_condition) - step_result = await env.step(ac_with_logprobs.tokens) - transition = Transition(ob=ob, ac=ac_with_logprobs, reward=step_result.reward, ...) - transitions.append(transition) - ob = step_result.next_observation - stop_condition = step_result.next_stop_condition - if step_result.episode_done: - break - return Trajectory(transitions=transitions, final_ob=ob) -``` - -**Benefits:** -- Loop never touches tokenizer or chat templates -- Same loop works for blackjack, math, code, dialogue -- Swap renderer to support new model (Llama → Qwen) -- Environment encapsulates ALL task logic - -#### 2. **OpenEnv's Approach (Most Modular)** - -**Architecture:** -``` -Dataset (separate) → Agent → Environment (structured observations) -``` - -**Key principles:** -- **Environment returns structured data**, NOT formatted prompts -- **Agent builds prompts** from structured observations -- **Environment and Dataset are completely separate** -- **Reusability:** Same env works across many datasets - -**Example:** -```python -# Environment returns structured observation -@dataclass -class GameObservation(Observation): - player_total: int - dealer_card: int - done: bool - reward: float - -# Agent builds prompt -def build_prompt(obs: GameObservation) -> str: - return f"Your total: {obs.player_total}, Dealer shows: {obs.dealer_card}" -``` - -**Benefits:** -- Maximum separation of concerns -- Environment is pure game logic -- Agent controls prompt format -- Easy to swap prompt strategies - -**Drawbacks:** -- More boilerplate (agent must format every observation) -- Tokenizer lives in agent, not env - -#### 3. **VERL's Approach (Registry-Based)** - -**Architecture:** -``` -Dataset → Agent Loop (Registry) → Tools -``` - -**Key principles:** -- **No traditional Env** - `AgentLoopBase.run()` encapsulates everything -- **Registry pattern** - dataset specifies which agent loop via `agent_name` -- **State machine** - `AgentState` enum drives multi-turn logic - -**Benefits:** -- Highly extensible via registry -- Supports mixing task types in one training run - -**Drawbacks:** -- Less clear boundaries (agent loop does everything) -- Harder to understand data flow - ---- - -### Recommendation for Blackjack - -**Use Tinker's pattern** with slight adaptations: - -**Reasons:** -1. **Clean separation:** Env handles game logic, Renderer handles formatting, Loop is generic -2. **Observation = formatted prompt:** Loop doesn't need tokenizer -3. **Future-proof:** When we add tool calling, same pattern works -4. **Proven:** Tinker uses this for math, code, dialogue, games - -**Adaptations needed:** -1. **No dataset (yet):** Blackjack generates fresh games, not from dataset -2. **Env setup:** Create `BlackjackEnv` with server URL, renderer -3. **Renderer:** Use existing Forge renderer (Qwen3Renderer) - ---- - -## Proposed Abstraction: Blackjack with Tinker Pattern - -### Architecture - -``` -EnvBuilder → BlackjackEnv (with Renderer) → do_single_rollout() → Episode - ↓ - OpenSpielClient -``` - -### Component Responsibilities - -| Component | Responsibilities | NOT Responsible For | -|-----------|-----------------|---------------------| -| **BlackjackEnv** | Game state, reward logic, action parsing, message history | Tokenization, model formatting | -| **Renderer** | Chat template, tokenization, stop sequences, parsing tokens → messages | Game logic, rewards | -| **Rollout Loop** | Call policy, step env, record transitions | Formatting, parsing, game logic | -| **OpenSpielClient** | HTTP communication with game server | Prompt building, parsing | - -### Code Structure - -#### 1. Environment Class - -```python -# apps/blackjack/env.py - -from tinker_cookbook.rl.types import Env, StepResult, Observation, StopCondition -from tinker_cookbook.renderers import Renderer -import tinker - -class BlackjackEnv(Env): - """ - Blackjack environment following Tinker's pattern. - - Responsibilities: - - Manage game state via OpenSpielClient - - Build conversation messages (user/assistant) - - Parse actions from assistant messages - - Compute rewards - - Format game state into user messages - - Renderer handles all tokenization and model formatting. - """ - - def __init__( - self, - renderer: Renderer, - server_url: str, - system_prompt: str | None = None, - ): - self.renderer = renderer - self.server_url = server_url - self.client = OpenSpielEnv(base_url=server_url) - - # Message history (task-specific) - self.messages = [] - if system_prompt: - self.messages.append({"role": "system", "content": system_prompt}) - - # Metrics tracking - self.turn_count = 0 - self.has_invalid_action = False - - async def initial_observation(self) -> tuple[Observation, StopCondition]: - """Reset game and return first observation.""" - # Reset game state - result = self.client.reset() - - # Build user message with game state (task-specific) - user_message = self._format_game_state(result.observation) - self.messages.append({"role": "user", "content": user_message}) - - # Render to tokenized observation (renderer handles this) - obs = self.renderer.build_generation_prompt(self.messages) - - return obs, self.renderer.stop_condition - - async def step(self, action: list[int]) -> StepResult: - """ - Execute action and return next observation. - - Args: - action: Token IDs from model generation - - Returns: - StepResult with next observation, reward, done flag - """ - # Parse tokens → message (renderer handles this) - message, parse_success = self.renderer.parse_response(action) - - # Extract action from message content (task-specific) - action_name = self._parse_action(message["content"]) - if action_name == "INVALID": - self.has_invalid_action = True - action_name = "STAND" # Fallback - - # Add assistant message to history - self.messages.append(message) - - # Execute action in game (task-specific) - action_id = 0 if action_name == "HIT" else 1 - result = self.client.step(OpenSpielAction(action_id=action_id, game_name="blackjack")) - - self.turn_count += 1 - - # Compute reward (task-specific) - if result.done: - reward = self._compute_reward(result.reward, self.has_invalid_action) - else: - reward = 0.0 # No intermediate rewards for blackjack - - # Build next observation - if not result.done: - user_message = self._format_game_state(result.observation) - self.messages.append({"role": "user", "content": user_message}) - next_obs = self.renderer.build_generation_prompt(self.messages) - else: - next_obs = tinker.ModelInput.empty() - - return StepResult( - reward=reward, - episode_done=result.done, - next_observation=next_obs, - next_stop_condition=self.renderer.stop_condition, - metrics={ - "turn_count": self.turn_count, - "has_invalid_action": self.has_invalid_action, - } - ) - - def _format_game_state(self, observation) -> str: - """Format game state into user message (task-specific).""" - player_total = observation.metadata.get("player_total", "?") - dealer_card = observation.metadata.get("dealer_card", "?") - dealer_str = "Ace" if dealer_card == 1 else str(dealer_card) - - return ( - f"=== BlackJack Game (Turn {self.turn_count + 1}) ===\n\n" - f"Current State:\n" - f" Your hand total: {player_total}\n" - f" Dealer shows: {dealer_str}\n" - f" Legal actions: HIT, STAND\n\n" - f"What do you do? Output only 'HIT' or 'STAND'." - ) - - def _parse_action(self, text: str) -> str: - """Parse action from assistant text (task-specific).""" - text_lower = text.lower().strip() - if text_lower.endswith("hit"): - return "HIT" - elif text_lower.endswith("stand"): - return "STAND" - else: - return "INVALID" - - def _compute_reward(self, env_reward: float, has_invalid: bool) -> float: - """Compute final reward (task-specific).""" - if env_reward > 0: # Win - return 3.0 - else: # Loss or push - return -1.0 -``` - -#### 2. Environment Builder - -```python -# apps/blackjack/env.py (continued) - -from functools import partial -from tinker_cookbook.rl.types import EnvGroupBuilder - -@dataclass(frozen=True) -class BlackjackEnvGroupBuilder(EnvGroupBuilder): - """ - Builder for creating groups of blackjack environments. - - Each env in the group is independent (different game instance). - """ - server_url: str - renderer: Renderer - system_prompt: str - num_envs: int - - async def make_envs(self) -> list[Env]: - """Create num_envs independent blackjack environments.""" - return [ - BlackjackEnv( - renderer=self.renderer, - server_url=self.server_url, - system_prompt=self.system_prompt, - ) - for _ in range(self.num_envs) - ] -``` - -#### 3. Rollout Loop (Generic - Reuse Tinker's) - -```python -# apps/blackjack/rollouts.py - -from tinker_cookbook.rl.rollouts import do_single_rollout, do_group_rollout -from tinker_cookbook.rl.types import Trajectory, TrajectoryGroup - -# ✅ Use Tinker's generic rollout functions directly! -# No need to rewrite them - they work with any Env implementation. - -async def rollout_blackjack_group( - env_builder: BlackjackEnvGroupBuilder, - policy: TokenCompleter, -) -> TrajectoryGroup: - """Rollout a group of blackjack games.""" - return await do_group_rollout(env_builder, policy) -``` - -#### 4. Convert Trajectory → Episode - -```python -# apps/blackjack/main.py - -def trajectory_to_episode(traj: Trajectory, game_id: str) -> Episode: - """ - Convert Tinker Trajectory to Forge Episode. - - Trajectory stores transitions (per-turn), Episode stores concatenated sequence. - """ - all_tokens = [] - all_logprobs = [] - response_mask = [] - - for transition in traj.transitions: - # Observation tokens (prompt) - ob_tokens = transition.ob.input_ids.tolist() - all_tokens.extend(ob_tokens) - response_mask.extend([0] * len(ob_tokens)) - all_logprobs.extend([0.0] * len(ob_tokens)) - - # Action tokens (response) - ac_tokens = transition.ac.tokens - ac_logprobs = transition.ac.logprobs - all_tokens.extend(ac_tokens) - response_mask.extend([1] * len(ac_tokens)) - all_logprobs.extend(ac_logprobs) - - # Final reward from last transition - final_reward = traj.transitions[-1].reward if traj.transitions else 0.0 - - return Episode( - episode_id=game_id, - task_name="blackjack", - generator_version=0, # TODO: Get from policy - is_truncated=False, # TODO: Add truncation tracking - all_token_ids=torch.tensor(all_tokens, dtype=torch.long), - logprobs=torch.tensor(all_logprobs, dtype=torch.float), - response_mask=torch.tensor(response_mask, dtype=torch.float), - reward=final_reward, - metadata={ - "num_turns": len(traj.transitions), - "game_id": game_id, - } - ) -``` - -#### 5. Updated Continuous Rollouts - -```python -# apps/blackjack/main.py - -async def continuous_rollouts(): - """Main rollout loop using Tinker pattern.""" - - # Setup renderer (model-specific, task-agnostic) - renderer = get_renderer(cfg.policy.model) # Qwen3Renderer, Llama3Renderer, etc. - - # Setup env builder - env_builder = BlackjackEnvGroupBuilder( - server_url=cfg.blackjack_env.server_url, - renderer=renderer, - system_prompt="You are an expert BlackJack player...", - num_envs=cfg.grpo.group_size, - ) - - while not shutdown_event.is_set(): - # ============ Step 1: Rollout group (Tinker's generic function) ============ - trajectory_group = await do_group_rollout(env_builder, policy) - - # ============ Step 2: Convert trajectories → episodes ============ - episodes = [ - trajectory_to_episode(traj, game_id=str(uuid.uuid4())) - for traj in trajectory_group.trajectories - ] - - # ============ Step 3: Filter groups (constant rewards) ============ - rewards = [e.reward for e in episodes] - if len(set(rewards)) == 1: - record_metric("groups/rate_dropped", 1, Reduce.MEAN) - continue - record_metric("groups/rate_dropped", 0, Reduce.MEAN) - - # ============ Step 4: Compute ref_model ============ - max_len = max(len(e.all_token_ids) for e in episodes) - padded_tokens = [ - F.pad(e.all_token_ids, (0, max_len - len(e.all_token_ids)), value=pad_id) - for e in episodes - ] - input_ids = torch.stack(padded_tokens) - - ref_logprobs_padded = await ref_model.forward.route(input_ids, 0, return_logprobs=True) - - # Assign unpadded ref_logprobs - for i, episode in enumerate(episodes): - seq_len = len(episode.all_token_ids) - episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] - - # ============ Step 5: Compute advantages ============ - advantages = await compute_advantages.compute.call_one(episodes) - for episode, advantage in zip(episodes, advantages): - episode.advantage = advantage - - # ============ Step 6: Episode-level acceptance ============ - accepted_episodes = [] - for episode in episodes: - should_accept = True - if episode.is_truncated and not cfg.grpo.accept_truncated: - should_accept = False - record_metric("buffer/rate_rejected_truncated", 1, Reduce.MEAN) - else: - record_metric("buffer/rate_rejected_truncated", 0, Reduce.MEAN) - - if should_accept: - accepted_episodes.append(episode) - - # ============ Step 7: Add to buffer ============ - for episode in accepted_episodes: - await replay_buffer.add.call_one(episode) -``` - ---- - -## Handling Truncation with Env Pattern - -### Where Does max_seq_len Fit? - -**Problem:** Tinker's `Env` doesn't know about token budgets - it returns `ModelInput` (already tokenized). - -**Solution:** Add budget tracking to `StepResult` via `metrics`: - -```python -class BlackjackEnv(Env): - def __init__(self, renderer, server_url, max_seq_len: int = 2048): - self.max_seq_len = max_seq_len - self.cumulative_tokens = 0 - - async def initial_observation(self): - obs = self.renderer.build_generation_prompt(self.messages) - self.cumulative_tokens = obs.length - return obs, self.renderer.stop_condition - - async def step(self, action): - # Track cumulative tokens - self.cumulative_tokens += len(action) - - # Check if we're approaching budget - if self.cumulative_tokens >= self.max_seq_len: - # Mark episode as truncated via metrics - return StepResult( - reward=self._compute_reward(...), - episode_done=True, # Force termination - next_observation=tinker.ModelInput.empty(), - metrics={"is_truncated": True, "truncation_reason": "max_seq_len"}, - ... - ) - - # Normal step logic... -``` - -**Rollout loop extracts truncation info:** -```python -def trajectory_to_episode(traj: Trajectory, game_id: str) -> Episode: - # Check last transition for truncation - last_transition = traj.transitions[-1] - is_truncated = last_transition.metrics.get("is_truncated", False) - truncation_reason = last_transition.metrics.get("truncation_reason", None) - - return Episode( - is_truncated=is_truncated, - metadata={"truncation_reason": truncation_reason, ...}, - ... - ) -``` - ---- - -## Summary of Changes to V3 - -### Delete -1. ❌ Initial prompt check before while loop (Issue 1) -2. ❌ Hardcoded timeout=60.0 (Issue 3 - make configurable) -3. ❌ The entire `do_single_rollout()` function in V3 (use Tinker's instead) - -### Fix -1. ✅ `generator_version` from `completion.generator_version` (Issue 2) -2. ✅ Double padding: Keep padding in both places but unpad when storing (Issue 4) -3. ✅ Slicing is actually correct (Issue 5 - no bug) - -### Add -1. ✅ `BlackjackEnv(Env)` class following Tinker pattern -2. ✅ `BlackjackEnvGroupBuilder(EnvGroupBuilder)` -3. ✅ `trajectory_to_episode()` conversion function -4. ✅ Budget tracking via `StepResult.metrics` -5. ✅ Optional timeout config - -### Refactor -1. ✅ Use Tinker's `do_single_rollout()` and `do_group_rollout()` directly -2. ✅ Move all game logic into `BlackjackEnv` -3. ✅ Move all formatting into `Renderer` (already exists in Forge) -4. ✅ Keep rollout loop 100% generic - ---- - -## Final Architecture Diagram - -``` -┌─────────────────────────────────────────────────────────────┐ -│ Main Training Loop │ -│ (continuous_rollouts) │ -└────────┬────────────────────────────────────────────────────┘ - │ - ▼ -┌─────────────────────────────────────────────────────────────┐ -│ BlackjackEnvGroupBuilder │ -│ • Creates group_size BlackjackEnv instances │ -│ • Injects Renderer (Qwen3Renderer, etc.) │ -└────────┬────────────────────────────────────────────────────┘ - │ make_envs() - ▼ -┌─────────────────────────────────────────────────────────────┐ -│ BlackjackEnv (Env) │ -│ • Manages OpenSpielClient │ -│ • Builds messages (user/assistant) │ -│ • Parses actions from text │ -│ • Computes rewards │ -│ • Tracks budget via cumulative_tokens │ -│ • Returns tokenized observations via Renderer │ -└────────┬───────────────────────────┬────────────────────────┘ - │ │ - │ initial_observation() │ step(action_tokens) - │ returns ModelInput │ returns StepResult - ▼ ▼ -┌─────────────────────────────────────────────────────────────┐ -│ Tinker's Generic Rollout Loop │ -│ (do_single_rollout, do_group_rollout) │ -│ • Calls policy(obs, stop_cond) → action_tokens │ -│ • Calls env.step(action_tokens) → StepResult │ -│ • Records Transition(ob, ac, reward, done) │ -│ • Returns Trajectory (list of transitions) │ -└────────┬────────────────────────────────────────────────────┘ - │ - ▼ -┌─────────────────────────────────────────────────────────────┐ -│ trajectory_to_episode() │ -│ • Concatenates all transitions into single sequence │ -│ • Builds response_mask (0 for prompts, 1 for responses) │ -│ • Extracts final reward │ -│ • Returns Episode (Forge format) │ -└────────┬────────────────────────────────────────────────────┘ - │ - ▼ -┌─────────────────────────────────────────────────────────────┐ -│ GRPO Training (same as V3) │ -│ • Filter groups (constant rewards) │ -│ • Compute ref_model │ -│ • Compute advantages │ -│ • Episode-level acceptance │ -│ • Add to replay buffer │ -└─────────────────────────────────────────────────────────────┘ -``` - ---- - -## Config Schema (Updated) - -```yaml -blackjack_env: - server_url: "http://localhost:8004" - max_seq_len: 2048 # Episode-level budget - max_turns: 10 # Hard limit on turns - generation_timeout: null # Optional (e.g., 600.0), null = no timeout - -grpo: - group_size: 16 - accept_truncated: true - -truncation: - # Note: drop_truncated_generation not needed with Env pattern - # Env decides when to terminate via episode_done flag - -policy: - model: "Qwen/Qwen3-1.7B" - engine_args: - enable_prefix_caching: true - max_model_len: 4096 -``` - ---- - -## Migration Checklist - -- [ ] Create `apps/blackjack/env.py` with `BlackjackEnv` class -- [ ] Create `BlackjackEnvGroupBuilder` -- [ ] Add `trajectory_to_episode()` conversion function -- [ ] Update `continuous_rollouts()` to use Tinker's pattern -- [ ] Remove hardcoded timeout, add optional config -- [ ] Fix `generator_version` to use `completion.generator_version` -- [ ] Verify padding logic (pad → unpad → pad again is correct) -- [ ] Add budget tracking via `StepResult.metrics` -- [ ] Test with single game -- [ ] Test with group rollout -- [ ] Verify truncation handling -- [ ] Verify metrics tracking - ---- - -**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation_v4_final.md b/brainstorming_forge_tau/changes/3_truncation_v4_final.md deleted file mode 100644 index c2fd9505c..000000000 --- a/brainstorming_forge_tau/changes/3_truncation_v4_final.md +++ /dev/null @@ -1,860 +0,0 @@ -# Truncation V4: Complete Implementation (No Tinker Imports) - -**Date:** 2025-01-16 -**Purpose:** Complete, concrete implementation of blackjack with proper abstractions. No Tinker imports, all classes defined once. - ---- - -## Architecture Overview - -``` -continuous_rollouts() (while True loop) - ↓ -do_group_rollout(envs: list[BlackjackEnv], policy) - ↓ - ├─ do_single_rollout(env[0], policy) → Episode - ├─ do_single_rollout(env[1], policy) → Episode - ├─ ... - └─ do_single_rollout(env[N], policy) → Episode - ↓ -Returns list[Episode] -``` - -**Key insight:** We create N env instances upfront, then pass `env[i]` to each parallel rollout. - ---- - -## Complete Implementation (Every Class, Start to Finish) - -### File 1: `apps/blackjack/types.py` - Core Types - -```python -""" -Core types for blackjack RL training. -No external dependencies except dataclasses and torch. -""" - -from dataclasses import dataclass, field -from typing import Any -import torch - - -@dataclass -class Episode: - """ - Episode data for GRPO training with multi-turn support. - - For blackjack: - - all_token_ids: [prompt1, resp1, prompt2, resp2, ...] - - response_mask: [0, 0, ..., 1, 1, ..., 0, 0, ..., 1, 1, ...] - - reward: Final game outcome (win/loss) - - One episode = one complete game with all turns. - """ - - # ============ Core Identifiers ============ - episode_id: str - task_name: str = "blackjack" - - # ============ Policy Version ============ - generator_version: int = 0 - is_truncated: bool = False - - # ============ Token Data ============ - all_token_ids: torch.Tensor # Shape: (seq_len,) - logprobs: torch.Tensor # Shape: (seq_len,) - response_mask: torch.Tensor # Shape: (seq_len,) - # 1.0 = train on this token (response) - # 0.0 = skip this token (prompt) - - # ============ Rewards & Training ============ - reward: float - advantage: float | None = None - ref_logprobs: torch.Tensor | None = None # Shape: (seq_len,) - - # ============ Metadata ============ - metadata: dict[str, Any] = field(default_factory=dict) - message_log: list[dict[str, Any]] | None = None - - -@dataclass -class GameState: - """Observation from blackjack game.""" - player_total: int - dealer_card: int - done: bool - reward: float - - -# Type alias for GRPO groups -Group = list[Episode] -``` - ---- - -### File 2: `apps/blackjack/env.py` - Environment - -```python -""" -BlackjackEnv: Manages game state, prompt building, and reward computation. - -This wraps OpenSpielEnv to control the data flow and prompt format. -""" - -from __future__ import annotations -import asyncio -from typing import Any - -from apps.blackjack.types import GameState -from forge.openenv.clients.openspiel_env import OpenSpielEnv, OpenSpielAction - - -class BlackjackEnv: - """ - Blackjack environment for RL training. - - Responsibilities: - - Manage game state via OpenSpielEnv - - Build conversation messages (user/assistant) - - Format prompts using tokenizer.apply_chat_template - - Parse actions from assistant text - - Compute rewards - - Track budget and truncation - - Does NOT handle: - - Policy generation (caller does this) - - Reference model computation (caller does this) - - Advantage computation (caller does this) - """ - - def __init__( - self, - server_url: str, - tokenizer, - system_prompt: str, - max_seq_len: int = 2048, - max_turns: int = 10, - ): - """ - Args: - server_url: OpenSpiel server URL (e.g., "http://localhost:8004") - tokenizer: HuggingFace tokenizer with apply_chat_template - system_prompt: System message for the game - max_seq_len: Maximum total tokens across all turns - max_turns: Maximum number of game turns - """ - self.server_url = server_url - self.tokenizer = tokenizer - self.system_prompt = system_prompt - self.max_seq_len = max_seq_len - self.max_turns = max_turns - - # Game client - self.client = OpenSpielEnv(base_url=server_url) - self.client._http.trust_env = False - - # Episode state (reset on each game) - self.messages: list[dict[str, str]] = [] - self.cumulative_tokens = 0 - self.turn_count = 0 - self.has_invalid_action = False - - def reset(self) -> tuple[str, int]: - """ - Reset environment for new game. - - Returns: - prompt: Formatted prompt string - remaining_tokens: Budget remaining for first generation - """ - # Reset episode state - self.messages = [] - self.cumulative_tokens = 0 - self.turn_count = 0 - self.has_invalid_action = False - - # Add system message - if self.system_prompt: - self.messages.append({"role": "system", "content": self.system_prompt}) - - # Reset game - result = self.client.reset() - - # Build first user message - user_message = self._format_game_state( - player_total=result.observation.metadata.get("player_total", "?"), - dealer_card=result.observation.metadata.get("dealer_card", "?"), - ) - self.messages.append({"role": "user", "content": user_message}) - - # Format prompt - prompt = self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=True, - tokenize=False - ) - - # Track tokens - prompt_tokens = self.tokenizer.encode(prompt, add_special_tokens=False) - self.cumulative_tokens = len(prompt_tokens) - - # Calculate remaining budget - remaining = self.max_seq_len - self.cumulative_tokens - - return prompt, remaining - - def step( - self, - response_text: str, - response_token_ids: list[int], - response_logprobs: list[float], - ) -> tuple[GameState | None, str | None, int | None]: - """ - Execute one turn of the game. - - Args: - response_text: Assistant's text response - response_token_ids: Token IDs of response - response_logprobs: Log probabilities of response tokens - - Returns: - (game_state, next_prompt, remaining_budget) if continuing - (game_state, None, None) if game ended - Where game_state contains: player_total, dealer_card, done, reward - """ - # Update cumulative tokens - self.cumulative_tokens += len(response_token_ids) - - # Add assistant message to history - self.messages.append({"role": "assistant", "content": response_text}) - - # Parse action - action_name = self._parse_action(response_text) - if action_name == "INVALID": - self.has_invalid_action = True - action_name = "STAND" # Fallback - - # Execute action in game - action_id = 0 if action_name == "HIT" else 1 - result = self.client.step( - OpenSpielAction(action_id=action_id, game_name="blackjack") - ) - - self.turn_count += 1 - - # Build game state - game_state = GameState( - player_total=result.observation.metadata.get("player_total", 0), - dealer_card=result.observation.metadata.get("dealer_card", 0), - done=result.done, - reward=result.reward, - ) - - # Check if game ended - if result.done: - return game_state, None, None - - # Check if hit max turns - if self.turn_count >= self.max_turns: - game_state.done = True - return game_state, None, None - - # Game continues - build next prompt - user_message = self._format_game_state( - player_total=game_state.player_total, - dealer_card=game_state.dealer_card, - ) - self.messages.append({"role": "user", "content": user_message}) - - # Format next prompt - next_prompt = self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=True, - tokenize=False - ) - - # Track tokens - prompt_tokens = self.tokenizer.encode(next_prompt, add_special_tokens=False) - self.cumulative_tokens = len(prompt_tokens) - - # Calculate remaining budget - remaining = self.max_seq_len - self.cumulative_tokens - - return game_state, next_prompt, remaining - - def compute_reward(self, game_state: GameState) -> float: - """ - Compute final reward from game outcome. - - Args: - game_state: Final game state - - Returns: - Shaped reward for training - """ - if game_state.reward > 0: # Win - return 3.0 - else: # Loss or push - return -1.0 - - def get_metadata(self) -> dict[str, Any]: - """Get episode metadata for logging.""" - return { - "num_turns": self.turn_count, - "has_invalid_action": self.has_invalid_action, - "cumulative_tokens": self.cumulative_tokens, - } - - def _format_game_state(self, player_total: int, dealer_card: int) -> str: - """Format game state into user message.""" - dealer_str = "Ace" if dealer_card == 1 else str(dealer_card) - - return ( - f"=== BlackJack Game (Turn {self.turn_count + 1}) ===\n\n" - f"Current State:\n" - f" Your hand total: {player_total}\n" - f" Dealer shows: {dealer_str}\n" - f" Legal actions: HIT, STAND\n\n" - f"What do you do? Output only 'HIT' or 'STAND'." - ) - - def _parse_action(self, text: str) -> str: - """Parse action from assistant text.""" - text_lower = text.lower().strip() - if text_lower.endswith("hit"): - return "HIT" - elif text_lower.endswith("stand"): - return "STAND" - else: - return "INVALID" - - def close(self): - """Clean up resources.""" - self.client.close() -``` - ---- - -### File 3: `apps/blackjack/rollouts.py` - Rollout Functions - -```python -""" -Rollout functions for blackjack RL training. - -These are generic - they work with any environment that follows the pattern: - env.reset() → (prompt, remaining_budget) - env.step(text, tokens, logprobs) → (game_state, next_prompt, remaining_budget) -""" - -import asyncio -import uuid -import torch -from typing import Any - -from apps.blackjack.types import Episode -from apps.blackjack.env import BlackjackEnv - - -async def do_single_rollout( - env: BlackjackEnv, - policy, - game_id: str | None = None, -) -> Episode: - """ - Play one game and return one Episode. - - Args: - env: BlackjackEnv instance - policy: Policy with .generate.route() method - game_id: Optional game ID for logging - - Returns: - Episode with all turns concatenated - """ - if game_id is None: - game_id = str(uuid.uuid4()) - - # Accumulators for episode data - all_tokens: list[int] = [] - all_logprobs: list[float] = [] - response_mask: list[int] = [] - - # Truncation tracking - is_truncated = False - truncation_reason: str | None = None - - try: - # ============ Reset environment ============ - prompt, remaining = env.reset() - - # Tokenize initial prompt - prompt_tokens = env.tokenizer.encode(prompt, add_special_tokens=False) - - # Check if initial prompt exceeds budget (edge case) - if remaining <= 0: - is_truncated = True - truncation_reason = "initial_prompt_exceeds_budget" - # Return minimal episode - return Episode( - episode_id=game_id, - generator_version=0, - is_truncated=True, - all_token_ids=torch.tensor(prompt_tokens[:env.max_seq_len], dtype=torch.long), - logprobs=torch.zeros(min(len(prompt_tokens), env.max_seq_len)), - response_mask=torch.zeros(min(len(prompt_tokens), env.max_seq_len)), - reward=0.0, - metadata={"truncation_reason": truncation_reason, "num_turns": 0}, - ) - - # ============ Multi-turn loop ============ - game_state = None - turn_num = 0 - - while True: - # Tokenize current prompt - prompt_tokens = env.tokenizer.encode(prompt, add_special_tokens=False) - - # Check budget before generation - if remaining <= 0: - is_truncated = True - truncation_reason = "max_seq_len" - break - - # ============ Generate response ============ - responses = await policy.generate.route( - [prompt], - sampling_params={"max_tokens": remaining} - ) - response = responses[0] - - # Check if generation was truncated - if response.stop_reason == "length": - is_truncated = True - truncation_reason = "generation_length" - # Add tokens but break after this turn - all_tokens.extend(prompt_tokens) - all_tokens.extend(response.token_ids) - response_mask.extend([0] * len(prompt_tokens)) - response_mask.extend([1] * len(response.token_ids)) - all_logprobs.extend([0.0] * len(prompt_tokens)) - all_logprobs.extend(response.logprobs) - break - - # ============ Accumulate tokens ============ - all_tokens.extend(prompt_tokens) - all_tokens.extend(response.token_ids) - response_mask.extend([0] * len(prompt_tokens)) # Don't train on prompts - response_mask.extend([1] * len(response.token_ids)) # Train on responses - all_logprobs.extend([0.0] * len(prompt_tokens)) - all_logprobs.extend(response.logprobs) - - # ============ Step environment ============ - game_state, next_prompt, next_remaining = env.step( - response_text=response.text, - response_token_ids=response.token_ids, - response_logprobs=response.logprobs, - ) - - turn_num += 1 - - # Check if game ended - if game_state.done or next_prompt is None: - break - - # Check if hit max turns - if turn_num >= env.max_turns: - is_truncated = True - truncation_reason = "max_turns" - break - - # Continue to next turn - prompt = next_prompt - remaining = next_remaining - - # ============ Compute final reward ============ - if game_state is not None: - reward = env.compute_reward(game_state) - else: - reward = 0.0 # Truncated before first turn completed - - # ============ Create episode ============ - episode = Episode( - episode_id=game_id, - task_name="blackjack", - generator_version=response.generator_version if 'response' in locals() else 0, - is_truncated=is_truncated, - all_token_ids=torch.tensor(all_tokens, dtype=torch.long), - logprobs=torch.tensor(all_logprobs, dtype=torch.float), - response_mask=torch.tensor(response_mask, dtype=torch.float), - reward=reward, - advantage=None, # Computed later - ref_logprobs=None, # Computed later - message_log=env.messages.copy(), - metadata={ - **env.get_metadata(), - "truncation_reason": truncation_reason, - "env_reward": game_state.reward if game_state else 0.0, - } - ) - - return episode - - finally: - env.close() - - -async def do_group_rollout( - envs: list[BlackjackEnv], - policy, -) -> list[Episode]: - """ - Rollout multiple games in parallel. - - Args: - envs: List of BlackjackEnv instances (one per game) - policy: Policy for generation - - Returns: - List of Episodes (one per env) - """ - # Create tasks for parallel execution - # Each task gets its own env from the list - tasks = [ - do_single_rollout( - env=envs[i], - policy=policy, - game_id=f"game_{i}_{uuid.uuid4().hex[:8]}", - ) - for i in range(len(envs)) - ] - - # Execute in parallel - episodes = await asyncio.gather(*tasks) - - return list(episodes) -``` - ---- - -### File 4: `apps/blackjack/main.py` - Main Training Loop (Updated) - -```python -""" -Main training loop for blackjack with complete implementation. -""" - -import asyncio -import uuid -import torch -import torch.nn.functional as F -from omegaconf import DictConfig - -from apps.blackjack.types import Episode, Group -from apps.blackjack.env import BlackjackEnv -from apps.blackjack.rollouts import do_group_rollout -from forge.metrics import record_metric, Reduce - - -async def continuous_rollouts( - cfg: DictConfig, - policy, - ref_model, - compute_advantages, - replay_buffer, - tokenizer, - pad_id: int, -): - """ - Main GRPO rollout loop. - - Flow: - 1. Create N environments - 2. Rollout group in parallel → list[Episode] - 3. Filter groups (constant rewards) - 4. Compute ref_model for valid group - 5. Compute advantages - 6. Episode-level acceptance - 7. Add to replay buffer - 8. Repeat - """ - - # Extract config - server_url = cfg.blackjack_env.server_url - max_seq_len = cfg.blackjack_env.max_seq_len - max_turns = cfg.blackjack_env.max_turns - group_size = cfg.grpo.group_size - system_prompt = "You are an expert BlackJack player. Analyze the game state and output only 'HIT' or 'STAND'." - - rollout_count = 0 - - # ============ Main loop ============ - while True: # User asked: why shutdown_event? Answer: Just use while True! - - # ============ Step 1: Create N environments ============ - envs = [ - BlackjackEnv( - server_url=server_url, - tokenizer=tokenizer, - system_prompt=system_prompt, - max_seq_len=max_seq_len, - max_turns=max_turns, - ) - for _ in range(group_size) - ] - - # ============ Step 2: Rollout group in parallel ============ - episodes = await do_group_rollout(envs, policy) - - # ============ Step 3: Filter groups (constant rewards) ============ - rewards = [e.reward for e in episodes] - if len(set(rewards)) == 1: - # All rewards identical - no learning signal - record_metric("groups/rate_dropped", 1, Reduce.MEAN) - rollout_count += 1 - continue - - record_metric("groups/rate_dropped", 0, Reduce.MEAN) - - # ============ Step 4: Compute ref_model ============ - # Pad episodes to same length for batching - max_len = max(len(e.all_token_ids) for e in episodes) - padded_tokens = [] - for episode in episodes: - seq_len = len(episode.all_token_ids) - pad_len = max_len - seq_len - padded = F.pad(episode.all_token_ids, (0, pad_len), value=pad_id) - padded_tokens.append(padded) - - input_ids = torch.stack(padded_tokens) # [group_size, max_len] - - # Get reference logprobs (padded) - ref_logprobs_padded = await ref_model.forward.route( - input_ids, - 0, # No separate prompt length (response_mask handles it) - return_logprobs=True - ) - - # Assign ref_logprobs to episodes (UNPAD) - for i, episode in enumerate(episodes): - seq_len = len(episode.all_token_ids) - episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] # Remove padding - - del ref_logprobs_padded, input_ids - - # ============ Step 5: Compute advantages ============ - advantages = await compute_advantages.compute.call_one(episodes) - for episode, advantage in zip(episodes, advantages): - episode.advantage = advantage - - # ============ Step 6: Episode-level acceptance ============ - accepted_episodes = [] - for episode in episodes: - should_accept = True - - # Acceptance criterion: is_truncated - if episode.is_truncated and not cfg.grpo.get("accept_truncated", True): - should_accept = False - record_metric("buffer/rate_rejected_truncated", 1, Reduce.MEAN) - else: - record_metric("buffer/rate_rejected_truncated", 0, Reduce.MEAN) - - # Future: Add min_advantage criterion here - - if should_accept: - accepted_episodes.append(episode) - - # ============ Step 7: Add to replay buffer ============ - # TODO: Add all episodes at once instead of one by one - for episode in accepted_episodes: - await replay_buffer.add.call_one(episode) - - # Metrics - record_metric("buffer/episodes_accepted", len(accepted_episodes), Reduce.SUM) - record_metric("buffer/episodes_generated", len(episodes), Reduce.SUM) - record_metric("main/rollout_iterations", 1, Reduce.SUM) - - rollout_count += 1 - - -# ============ Update main() to use new rollout ============ - -async def main(cfg: DictConfig): - """Main entry point.""" - - # ... existing service initialization ... - - # ============ Get tokenizer ============ - from transformers import AutoTokenizer - tokenizer = AutoTokenizer.from_pretrained(cfg.policy.model) - pad_id = tokenizer.pad_token_id if tokenizer.pad_token_id is not None else tokenizer.eos_token_id - - # ============ Start rollout tasks ============ - num_rollout_threads = cfg.main.get("num_rollout_threads", 1) - - rollout_tasks = [ - asyncio.create_task( - continuous_rollouts( - cfg=cfg, - policy=policy, - ref_model=ref_model, - compute_advantages=compute_advantages, - replay_buffer=replay_buffer, - tokenizer=tokenizer, - pad_id=pad_id, - ) - ) - for _ in range(num_rollout_threads) - ] - - # ... rest of main ... -``` - ---- - -## Complete Flow Diagram - -``` -continuous_rollouts(): -│ -├─ Create N BlackjackEnv instances -│ env[0] = BlackjackEnv(server_url, tokenizer, system_prompt, ...) -│ env[1] = BlackjackEnv(...) -│ ... -│ env[N-1] = BlackjackEnv(...) -│ -├─ do_group_rollout(envs, policy) -│ │ -│ ├─ Launch parallel tasks: -│ │ ├─ asyncio.create_task(do_single_rollout(env[0], policy)) -│ │ ├─ asyncio.create_task(do_single_rollout(env[1], policy)) -│ │ └─ ... -│ │ -│ └─ await asyncio.gather(*tasks) → list[Episode] -│ │ -│ └─ Each do_single_rollout(): -│ │ -│ ├─ prompt, remaining = env.reset() -│ │ └─ env builds messages: [system, user] -│ │ └─ env.tokenizer.apply_chat_template(messages) -│ │ -│ ├─ while True: -│ │ ├─ response = await policy.generate(prompt, max_tokens=remaining) -│ │ ├─ Accumulate: all_tokens, all_logprobs, response_mask -│ │ ├─ game_state, next_prompt, next_remaining = env.step(response) -│ │ │ └─ env parses action from response.text -│ │ │ └─ env calls OpenSpielEnv.step(action) -│ │ │ └─ env builds next user message -│ │ │ └─ env.tokenizer.apply_chat_template(messages) -│ │ └─ if game_state.done: break -│ │ -│ └─ return Episode(all_tokens, response_mask, reward, ...) -│ -├─ Filter: if len(set(rewards)) == 1: continue -│ -├─ Compute ref_model (pad → forward → unpad) -│ -├─ Compute advantages -│ -├─ Episode-level acceptance (truncated filter) -│ -└─ Add accepted episodes to replay buffer -``` - ---- - -## How do_group_rollout Works (Step by Step) - -**Question:** "How does rollout i have access to env i?" - -**Answer:** We pass the entire `envs` list to `do_group_rollout()`, then inside that function we create tasks using `envs[i]`: - -```python -async def do_group_rollout( - envs: list[BlackjackEnv], # ← List of N envs passed in - policy, -) -> list[Episode]: - - # Create N tasks, each using envs[i] - tasks = [ - do_single_rollout( - env=envs[i], # ← Task i gets env i - policy=policy, - game_id=f"game_{i}_...", - ) - for i in range(len(envs)) - ] - - # Execute all tasks in parallel - episodes = await asyncio.gather(*tasks) - - return list(episodes) -``` - -**Flow:** -1. `continuous_rollouts()` creates list of N envs -2. Passes entire list to `do_group_rollout(envs, policy)` -3. `do_group_rollout()` creates N tasks, each with `envs[i]` -4. `asyncio.gather()` runs all N tasks in parallel -5. Each task calls `do_single_rollout(env[i], policy)` -6. Returns list of N episodes - ---- - -## Why `while True` instead of `while not shutdown_event.is_set()`? - -**Answer:** You're right - we should just use `while True`! The shutdown will be handled by task cancellation when the program exits. Updated in the code above. - ---- - -## Config Schema - -```yaml -blackjack_env: - server_url: "http://localhost:8004" - max_seq_len: 2048 - max_turns: 10 - -grpo: - group_size: 16 - accept_truncated: true - -policy: - model: "Qwen/Qwen2.5-1.5B-Instruct" - engine_args: - enable_prefix_caching: true - max_model_len: 4096 - -main: - num_rollout_threads: 1 -``` - ---- - -## Summary of Changes from V3 - -### Removed -- ❌ All Tinker imports -- ❌ Tinker ABCs (Env, EnvGroupBuilder, etc.) -- ❌ Renderer abstraction (just use `tokenizer.apply_chat_template`) -- ❌ Initial prompt check before while loop -- ❌ `shutdown_event` (use `while True`) -- ❌ Redundant class definitions - -### Added -- ✅ Complete `BlackjackEnv` class (defined once) -- ✅ Complete `do_single_rollout()` function -- ✅ Complete `do_group_rollout()` function -- ✅ Complete `continuous_rollouts()` function -- ✅ Clear explanation of how env[i] is passed to rollout i -- ✅ `generator_version` from `response.generator_version` - -### Key Design -- **No ABCs** - Just concrete classes (battle test first, abstract later) -- **No Tinker** - Self-contained implementation -- **tokenizer.apply_chat_template** - Instead of Renderer -- **OpenEnv inside BlackjackEnv** - We control the data flow -- **Explicit env list** - Create N envs, pass to do_group_rollout - ---- - -**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation_v5_simplified_env.md b/brainstorming_forge_tau/changes/3_truncation_v5_simplified_env.md deleted file mode 100644 index b436bd9fb..000000000 --- a/brainstorming_forge_tau/changes/3_truncation_v5_simplified_env.md +++ /dev/null @@ -1,997 +0,0 @@ -# Truncation V8: Simplified with TokenAccumulator (BASE Anchor Pattern) - -**Date:** 2025-01-17 -**Changes from V5:** Uses TokenAccumulator class with BASE anchor pattern for O(N) complexity -**Based on:** Clean implementation from `test_simple_vllm_v2.py` - -**Major Changes:** -1. **TokenAccumulator Class:** Encapsulates all token management logic with BASE anchor pattern -2. **O(N) Complexity:** Tokenize BASE + 1 message (not full history) using delta extraction -3. **Automatic Role Headers:** Delta extraction includes chat template formatting automatically -4. **Finalize Validation:** Optional sanity check to detect tokenization mismatches -5. **Clean API:** Simple methods (`add_assistant_response`, `add_user_message`, `get_remaining_budget`) -6. **Logprobs Alignment:** Automatically aligns vLLM logprobs (content only) with full tokens (headers + content) - -**Key Benefits:** -- ✅ **Fewer tokenization calls:** O(N) instead of O(N²) - tokenize 2-3 messages per turn instead of full history -- ✅ **Automatic role headers:** No manual role header computation, included in delta automatically -- ✅ **Validation built-in:** Optional `finalize()` check catches tokenization bugs -- ✅ **Simpler rollout code:** ~40% fewer lines in rollout loop -- ✅ **Model agnostic:** Works with Qwen, Llama 3, and any chat template - ---- - -## Key Insight from NeMo-RL - -**The rollout loop holds `message_log`, not the environment!** - -```python -# NeMo-RL pattern: -message_log = [{"role": "user", "content": initial_prompt}] - -for turn in range(max_turns): - # Generate - response = await policy.generate(message_log) - message_log.append({"role": "assistant", "content": response}) - - # Get next observation from env - env_output = env.step(message_log, metadata) - - # Append env observation to message_log - message_log.append(env_output.observations[0]) # {"role": "user", "content": "..."} -``` - -**Environment only returns the NEXT message to append, not the whole conversation!** - ---- - -## Complete Implementation (Simplified) - -### File 1: `apps/blackjack/types.py` - -```python -"""Core types for blackjack RL training.""" - -from dataclasses import dataclass, field -from typing import Any -import torch - - -@dataclass -class Episode: - """Episode data for GRPO training.""" - episode_id: str - task_name: str = "blackjack" - generator_version: int = 0 - is_truncated: bool = False - - all_token_ids: torch.Tensor - logprobs: torch.Tensor - response_mask: torch.Tensor - - reward: float - advantage: float | None = None - ref_logprobs: torch.Tensor | None = None - - metadata: dict[str, Any] = field(default_factory=dict) - message_log: list[dict[str, str]] | None = None - - -@dataclass -class EnvStepResult: - """Result from environment step.""" - observation: dict[str, str] # Next message: {"role": "user", "content": "..."} - reward: float # Reward for this step - done: bool # Episode ended? - metadata: dict[str, Any] = field(default_factory=dict) -``` - ---- - -### File 2: `apps/blackjack/token_accumulator.py` - -```python -""" -Efficient multi-turn token accumulator using BASE anchor pattern. - -Instead of re-tokenizing full conversation history each turn, we tokenize -BASE + 1 new message and extract the delta. This gives O(N) complexity -instead of O(N²) and automatically includes role headers. -""" - -from enum import Enum -from functools import lru_cache - - -class SanityCheckMode(Enum): - """Sanity check modes for finalize validation.""" - - STRICT = "strict" - IGNORE_STRIPPABLE = "ignore_strippable" - DISABLE = "disable" - - -@lru_cache(maxsize=1) -def get_generation_prompt_len(tokenizer) -> int: - """Get length of generation prompt added by apply_chat_template.""" - messages = [{"role": "user", "content": "x"}] - without_gen = tokenizer.apply_chat_template( - messages, add_generation_prompt=False, tokenize=True - ) - with_gen = tokenizer.apply_chat_template( - messages, add_generation_prompt=True, tokenize=True - ) - return len(with_gen) - len(without_gen) - - -class TokenAccumulator: - """ - Efficient multi-turn token accumulator using BASE anchor pattern. - - Instead of re-tokenizing full conversation history each turn, we tokenize - BASE + 1 new message and extract the delta. This gives O(N) complexity - instead of O(N²) and automatically includes role headers. - """ - - def __init__( - self, - tokenizer, - messages: list[dict], - max_seq_len: int, - eos_token_id: int, - sanity_check_mode: SanityCheckMode = SanityCheckMode.STRICT, - ): - self.tokenizer = tokenizer - self.max_seq_len = max_seq_len - self.eos_token_id = eos_token_id - self.sanity_check_mode = sanity_check_mode - - self.messages = messages.copy() - self.all_tokens: list[int] = [] - self.response_mask: list[int] = [] - self.logprobs: list[float] = [] - - self.gen_prompt_len = get_generation_prompt_len(tokenizer) - self.is_truncated = False - self.truncation_reason: str | None = None - - # Setup BASE anchor - if len(messages) == 0: - raise ValueError("Must provide at least system message") - - system_msg = ( - messages[0] - if messages[0]["role"] == "system" - else {"role": "system", "content": ""} - ) - - self.BASE_CHAT_HISTORY = [ - system_msg, - {"role": "user", "content": ""}, - ] - - # Pre-compute slice positions - self.base_tokens_wo_gen = self.tokenizer.apply_chat_template( - self.BASE_CHAT_HISTORY, - add_generation_prompt=False, - tokenize=True, - ) - self.base_len_wo_gen = len(self.base_tokens_wo_gen) - - system_tokens = self.tokenizer.apply_chat_template( - [system_msg], - add_generation_prompt=False, - tokenize=True, - ) - self.system_len = len(system_tokens) - - # Initialize with initial messages - if len(messages) > 0: - initial_tokens = tokenizer.apply_chat_template( - messages, - add_generation_prompt=False, - tokenize=True, - ) - self.all_tokens.extend(initial_tokens) - self.response_mask.extend([0] * len(initial_tokens)) - self.logprobs.extend([0.0] * len(initial_tokens)) - - def get_remaining_budget(self) -> int: - """Calculate remaining tokens before hitting max_seq_len.""" - current_with_gen_prompt = len(self.all_tokens) + self.gen_prompt_len - return self.max_seq_len - current_with_gen_prompt - - def format_prompt(self) -> str: - """Format prompt for generation.""" - return self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=True, - tokenize=False, - ) - - def add_assistant_response( - self, - response_text: str, - response_token_ids: list[int], - response_logprobs: list[float] | None = None, - ) -> bool: - """ - Add assistant response using BASE anchor. - - Args: - response_text: Response text from vLLM - response_token_ids: Content token IDs from vLLM (for truncation check) - response_logprobs: Logprobs from vLLM (content tokens only) - - Returns: - True if not truncated, False if truncated - """ - is_truncated = ( - len(response_token_ids) > 0 and response_token_ids[-1] != self.eos_token_id - ) - - self.messages.append({"role": "assistant", "content": response_text}) - - # Tokenize BASE + assistant to get delta (includes role headers) - temp_messages = [ - *self.BASE_CHAT_HISTORY, - {"role": "assistant", "content": response_text}, - ] - full_with_assistant = self.tokenizer.apply_chat_template( - temp_messages, - add_generation_prompt=False, - tokenize=True, - ) - assistant_tokens = full_with_assistant[self.base_len_wo_gen :] - - # Align logprobs: vLLM provides content only, we have headers + content - num_content_tokens = len(response_token_ids) - num_total_tokens = len(assistant_tokens) - num_role_overhead = num_total_tokens - num_content_tokens - - assistant_logprobs = [0.0] * num_role_overhead - if response_logprobs is not None: - assistant_logprobs.extend(response_logprobs) - else: - assistant_logprobs.extend([0.0] * num_content_tokens) - - # Accumulate - mask_value = 0 if is_truncated else 1 - self.all_tokens.extend(assistant_tokens) - self.response_mask.extend([mask_value] * len(assistant_tokens)) - self.logprobs.extend(assistant_logprobs) - - if is_truncated: - self.is_truncated = True - self.truncation_reason = "generation_length" - - return not is_truncated - - def add_user_message(self, content: str, check_budget: bool = True) -> bool: - """ - Add user message using BASE anchor. - - Args: - content: User message content - check_budget: If True, check if adding would exceed budget - - Returns: - True if successful, False if would exceed budget - """ - self.messages.append({"role": "user", "content": content}) - - # Tokenize system + user to get delta - temp_messages = [ - self.BASE_CHAT_HISTORY[0], - {"role": "user", "content": content}, - ] - full_with_user = self.tokenizer.apply_chat_template( - temp_messages, - add_generation_prompt=False, - tokenize=True, - ) - user_message_tokens = full_with_user[self.system_len :] - - # Check budget - if check_budget: - would_be = ( - len(self.all_tokens) + len(user_message_tokens) + self.gen_prompt_len - ) - if would_be > self.max_seq_len: - self.messages.pop() - self.is_truncated = True - self.truncation_reason = "env_observation_length" - return False - - # Accumulate - self.all_tokens.extend(user_message_tokens) - self.response_mask.extend([0] * len(user_message_tokens)) - self.logprobs.extend([0.0] * len(user_message_tokens)) - - return True - - def finalize(self, strict: bool = None) -> bool: - """ - Validate BASE-based accumulation against ground truth. - - Detects tokenization mismatches that can occur when chat templates - behave differently based on conversation structure. - - Args: - strict: Override sanity_check_mode if provided - - Returns: - True if validation passed or skipped, False if mismatch detected - - Raises: - ValueError: If mismatch detected and mode is STRICT - """ - assert len(self.logprobs) == len(self.all_tokens) - assert len(self.logprobs) == len(self.response_mask) - - mode = self.sanity_check_mode - if strict is not None: - mode = SanityCheckMode.STRICT if strict else SanityCheckMode.DISABLE - - if mode == SanityCheckMode.DISABLE: - return True - - ground_truth = self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=False, - tokenize=True, - ) - - if len(self.all_tokens) != len(ground_truth): - diff = len(ground_truth) - len(self.all_tokens) - - # Check if only whitespace differs - if mode == SanityCheckMode.IGNORE_STRIPPABLE: - accumulated_text = self.tokenizer.decode(self.all_tokens) - ground_truth_text = self.tokenizer.decode(ground_truth) - if accumulated_text.strip() == ground_truth_text.strip(): - return True - - error_msg = ( - f"Token accumulation mismatch!\n" - f" Accumulated: {len(self.all_tokens)} tokens\n" - f" Ground truth: {len(ground_truth)} tokens\n" - f" Difference: {diff}\n" - f" Last 20 accumulated: {self.all_tokens[-20:]}\n" - f" Last 20 ground truth: {ground_truth[-20:]}\n" - f" Sanity check mode: {mode.value}" - ) - - if mode == SanityCheckMode.STRICT: - raise ValueError(error_msg) - else: - print(f"⚠️ {error_msg}") - return False - - return True -``` - ---- - -### File 3: `apps/blackjack/env.py` - -```python -""" -BlackjackEnv: Minimal environment that returns next observation. - -The rollout loop manages messages and tokenization. -""" - -from dataclasses import dataclass -from typing import Any - -from apps.blackjack.types import EnvStepResult -from forge.openenv.clients.openspiel_env import OpenSpielEnv, OpenSpielAction - -from forge.observability.metrics import record_metric, Reduce -class BlackjackEnv: - """ - Minimal blackjack environment. - - Responsibilities: - - Manage game state via OpenSpielEnv - - Parse actions from text - - Return next observation message - - Compute rewards - - Does NOT: - - Hold message history (rollout loop does this) - - Tokenize (rollout loop does this) - - Track cumulative tokens (rollout loop does this) - """ - - def __init__(self, server_url: str): - self.server_url = server_url - self.client = OpenSpielEnv(base_url=server_url) - self.client._http.trust_env = False - - # Game state - self.turn_count = 0 - self.has_invalid_action = False - - def reset(self) -> str: - """ - Reset game and return initial user message. - - Returns: - Initial observation text (NOT a dict, just the content string) - """ - self.turn_count = 0 - self.has_invalid_action = False - - # Reset game - result = self.client.reset() - - # Build initial observation - return self._format_observation(result.observation) - - def step(self, action_text: str) -> EnvStepResult: - """ - Execute action and return next observation. - - Args: - action_text: The assistant's text response - - Returns: - EnvStepResult with next observation message, reward, done - """ - - # Parse action - action_name = self._parse_action(action_text) - if action_name == "INVALID": - self.has_invalid_action = True - action_name = "STAND" # Fallback - record_metric("game/invalid_action_rate", 1, Reduce.MEAN) - else: - record_metric("game/invalid_action_rate", 0, Reduce.MEAN) - - # Execute in game - action_id = 0 if action_name == "HIT" else 1 - result = self.client.step( - OpenSpielAction(action_id=action_id, game_name="blackjack") - ) - - self.turn_count += 1 - - # Compute reward - if result.done: - reward = self._compute_reward(result.reward) - # Record game outcome metrics - record_metric("game/games_played", 1, Reduce.SUM) - record_metric("game/average_turns", self.turn_count, Reduce.MEAN) - record_metric("game/win_rate", 1 if result.reward > 0 else 0, Reduce.MEAN) - record_metric("game/env_reward", result.reward, Reduce.MEAN) - else: - reward = 0.0 # No intermediate rewards - - # Build next observation (if game continues) - if result.done: - observation = {"role": "user", "content": ""} # Empty, game ended - else: - obs_text = self._format_observation(result.observation) - observation = {"message": {"role": "user", "content": obs_text}} - - return EnvStepResult( - observation=observation, - reward=reward, - done=result.done, - metadata={ - "turn_count": self.turn_count, - "has_invalid_action": self.has_invalid_action, - "env_reward": result.reward if result.done else 0.0, - } - ) - - def _format_observation(self, observation) -> str: - """Format game observation into text""" - player_total = observation.metadata.get("player_total", "?") - dealer_card = observation.metadata.get("dealer_card", "?") - dealer_str = "Ace" if dealer_card == 1 else str(dealer_card) - - return f"Hand: {player_total}, Dealer: {dealer_str}" - - def _parse_action(self, text: str) -> str: - """Parse action from assistant text.""" - text_lower = text.lower().strip() - if text_lower.endswith("hit"): - return "HIT" - elif text_lower.endswith("stand"): - return "STAND" - else: - return "INVALID" - - def _compute_reward(self, env_reward: float) -> float: - """Compute final reward.""" - if env_reward > 0: # Win - return 3.0 - else: # Loss or push - return -1.0 - - def close(self): - """Clean up.""" - self.client.close() -``` - ---- - -### File 4: `apps/blackjack/rollouts.py` - -```python -""" -Rollout functions for blackjack using TokenAccumulator. - -The rollout loop manages: -- Message history (conversation) -- Tokenization (via TokenAccumulator with BASE anchor pattern) -- Budget tracking -""" - -import asyncio -import uuid -import torch - -from apps.blackjack.types import Episode -from apps.blackjack.env import BlackjackEnv -from apps.blackjack.token_accumulator import TokenAccumulator, SanityCheckMode -from forge.observability.metrics import record_metric, Reduce - - -async def do_single_rollout( - env: BlackjackEnv, - policy, - tokenizer, - max_seq_len: int, - max_turns: int, - messages: list[dict], - game_id: str | None = None, -) -> Episode: - """ - Play one game and return one Episode. - - Uses TokenAccumulator for efficient multi-turn token management with BASE anchor pattern. - - Args: - env: BlackjackEnv instance - policy: Policy for generation - tokenizer: Tokenizer with apply_chat_template - max_seq_len: Maximum tokens for full conversation - max_turns: Maximum game turns - messages: Initial messages (e.g., [{"role": "system", "content": "..."}]) - game_id: Optional game ID - - Returns: - Episode with accumulated tokens, masks, and logprobs - """ - - if game_id is None: - game_id = str(uuid.uuid4()) - - # Initialize TokenAccumulator with BASE anchor pattern - accumulator = TokenAccumulator( - tokenizer=tokenizer, - messages=messages, - max_seq_len=max_seq_len, - eos_token_id=tokenizer.eos_token_id, - sanity_check_mode=SanityCheckMode.DISABLE, # Disable in production for speed - ) - - try: - # ============ Reset environment ============ - initial_obs = env.reset() - accumulator.add_user_message(initial_obs, check_budget=False) - - # ============ Multi-turn loop ============ - final_reward = 0.0 - turn_num = 0 - game_done = False - - while not game_done and turn_num < max_turns: - # Check budget - remaining = accumulator.get_remaining_budget() - if remaining <= 0: - accumulator.is_truncated = True - accumulator.truncation_reason = "max_seq_len" - break - - # Format prompt - prompt = accumulator.format_prompt() - - # ============ Generate ============ - responses = await policy.generate.route( - [prompt], - sampling_params={"max_tokens": remaining} - ) - response = responses[0] - - # Extract logprobs from response - response_logprobs = response.logprobs if hasattr(response, 'logprobs') else None - - # ============ Add assistant response ============ - success = accumulator.add_assistant_response( - response_text=response.text, - response_token_ids=response.token_ids, - response_logprobs=response_logprobs, - ) - - # If generation truncated, break - if not success: - break - - # ============ Step environment ============ - result = env.step(action_text=response.text) - final_reward = result.reward - game_done = result.done - turn_num += 1 - - # ============ Add environment observation ============ - if not result.done: - obs_text = result.observation["content"] - success = accumulator.add_user_message(obs_text, check_budget=True) - - # If env obs would exceed budget, break - if not success: - break - - # Check if hit max_turns - if turn_num >= max_turns and not game_done: - accumulator.is_truncated = True - accumulator.truncation_reason = "max_turns" - - # Optional: Validate token accumulation (useful in dev/staging) - # accumulator.finalize() - - # Record metrics once at the end - if accumulator.truncation_reason: - record_metric(f"episode/truncated_{accumulator.truncation_reason}", 1, Reduce.SUM) - record_metric("episode/total_tokens", len(accumulator.all_tokens), Reduce.MEAN) - record_metric("episode/turns", turn_num, Reduce.MEAN) - - # ============ Create episode ============ - return Episode( - episode_id=game_id, - task_name="blackjack", - generator_version=response.generator_version if 'response' in locals() else 0, - is_truncated=accumulator.is_truncated, - all_token_ids=torch.tensor(accumulator.all_tokens, dtype=torch.long), - logprobs=torch.tensor(accumulator.logprobs, dtype=torch.float), - response_mask=torch.tensor(accumulator.response_mask, dtype=torch.float), - reward=final_reward, - message_log=accumulator.messages.copy(), - metadata={ - "truncation_reason": accumulator.truncation_reason, - "num_turns": turn_num, - **result.metadata if 'result' in locals() else {}, - } - ) - - finally: - env.close() - - -async def do_group_rollout( - envs: list[BlackjackEnv], - policy, - tokenizer, - max_seq_len: int, - max_turns: int, - messages: list[dict], -) -> list[Episode]: - """ - Rollout multiple games in parallel. - - Args: - envs: List of N BlackjackEnv instances - policy: Policy for generation - tokenizer: Tokenizer for chat template - max_seq_len: Episode-level token budget - max_turns: Max turns per game - messages: Initial messages for all games (e.g., [{"role": "system", ...}]) - - Returns: - List of N Episodes - """ - tasks = [ - do_single_rollout( - env=envs[i], - policy=policy, - tokenizer=tokenizer, - max_seq_len=max_seq_len, - max_turns=max_turns, - messages=messages, - game_id=f"game_{i}_{uuid.uuid4().hex[:8]}", - ) - for i in range(len(envs)) - ] - - episodes = await asyncio.gather(*tasks) - return list(episodes) -``` - ---- - -### File 5: `apps/blackjack/main.py` (Updated continuous_rollouts) - -```python -"""Main training loop.""" - -import asyncio -import torch -import torch.nn.functional as F - -from apps.blackjack.env import BlackjackEnv -from apps.blackjack.rollouts import do_group_rollout -from forge.metrics import record_metric, Reduce - - -async def continuous_rollouts( - cfg, - policy, - ref_model, - compute_advantages, - replay_buffer, - tokenizer, - pad_id: int, -): - """Main GRPO rollout loop.""" - from forge.observability.metrics import record_metric, Reduce - - # Config - server_url = cfg.blackjack_env.server_url - max_seq_len = cfg.blackjack_env.max_seq_len - max_turns = cfg.blackjack_env.max_turns - group_size = cfg.grpo.group_size - - # Initial messages - can be extended with tools in the future - initial_messages = [ - {"role": "system", "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'."} - ] - - # ============ Main loop ============ - while True: - - # ============ Step 1: Create environments ============ - envs = [ - BlackjackEnv(server_url=server_url) - for _ in range(group_size) - ] - - # ============ Step 2: Rollout group ============ - episodes = await do_group_rollout( - envs=envs, - policy=policy, - tokenizer=tokenizer, - max_seq_len=max_seq_len, - max_turns=max_turns, - messages=initial_messages, - ) - - # ============ Step 3: Filter groups (constant rewards) ============ - rewards = [e.reward for e in episodes] - if len(set(rewards)) == 1: - record_metric("groups/rate_dropped", 1, Reduce.MEAN) - continue - record_metric("groups/rate_dropped", 0, Reduce.MEAN) - - # ============ Step 4: Compute ref_model ============ - max_len = max(len(e.all_token_ids) for e in episodes) - padded_tokens = [ - F.pad(e.all_token_ids, (0, max_len - len(e.all_token_ids)), value=pad_id) - for e in episodes - ] - input_ids = torch.stack(padded_tokens) - - ref_logprobs_padded = await ref_model.forward.route( - input_ids, 0, return_logprobs=True - ) - - for i, episode in enumerate(episodes): - seq_len = len(episode.all_token_ids) - episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] - - del ref_logprobs_padded, input_ids - - # ============ Step 5: Compute advantages ============ - advantages = await compute_advantages.compute.call_one(episodes) - for episode, advantage in zip(episodes, advantages): - episode.advantage = advantage - - # ============ Step 6: Episode-level acceptance ============ - accepted = [] - for episode in episodes: - if episode.is_truncated and not cfg.grpo.get("accept_truncated", True): - record_metric("buffer/rate_rejected_truncated", 1, Reduce.MEAN) - else: - record_metric("buffer/rate_rejected_truncated", 0, Reduce.MEAN) - accepted.append(episode) - - # ============ Step 7: Add to buffer ============ - for episode in accepted: - await replay_buffer.add.call_one(episode) - - record_metric("buffer/episodes_accepted", len(accepted), Reduce.SUM) - record_metric("buffer/episodes_generated", len(episodes), Reduce.SUM) - record_metric("buffer/acceptance_rate", len(accepted) / len(episodes) if episodes else 0, Reduce.MEAN) -``` - ---- - -## Key Changes from V5 - -### Added TokenAccumulator Class -- ✅ **BASE Anchor Pattern:** Tokenize BASE + 1 message (not full history) - O(N) vs O(N²) -- ✅ **Automatic Role Headers:** Delta extraction includes chat template formatting -- ✅ **Logprobs Alignment:** Aligns vLLM logprobs (content only) with full tokens (headers + content) -- ✅ **Finalize Validation:** Optional sanity check to detect tokenization mismatches -- ✅ **Simpler Rollout Code:** ~40% fewer lines using TokenAccumulator methods - -### Rollout Changes -- ✅ Uses `TokenAccumulator` instead of manual lists (`all_tokens`, `all_logprobs`, `response_mask`) -- ✅ Calls `accumulator.add_assistant_response()` instead of manual token accumulation -- ✅ Calls `accumulator.add_user_message()` instead of manual env obs tokenization -- ✅ Calls `accumulator.get_remaining_budget()` for budget tracking -- ✅ Optional `accumulator.finalize()` for validation (useful in dev/staging) - -### What Stayed the Same -- ✅ Environment still minimal (returns next observation only) -- ✅ Rollout loop still manages message history -- ✅ Budget tracking still pre-generation -- ✅ Same truncation reasons (max_seq_len, generation_length, env_observation_length, max_turns) -- ✅ Same Episode data structure - ---- - -## Benefits of TokenAccumulator - -### Performance -- **O(N) tokenization** instead of O(N²) - tokenize 2-3 messages per turn instead of full history -- **Cached computations** - gen_prompt_len, base_len_wo_gen, system_len computed once - -### Correctness -- **Automatic role headers** - no manual computation, included in delta automatically -- **Validation built-in** - optional finalize() catches tokenization bugs -- **Tested thoroughly** - 5 test cases pass (normal, vllm_truncation, env_obs_truncation, early_exit, long_obs) - -### Code Quality -- **40% fewer lines** in rollout loop -- **Clear API** - simple methods with obvious names -- **Model agnostic** - works with Qwen, Llama 3, any chat template -- **Reusable** - can be used in other RL environments - ---- - -## Summary of Implementation - -### File Structure -1. `types.py` - Episode and EnvStepResult dataclasses -2. `token_accumulator.py` - TokenAccumulator class with BASE anchor pattern -3. `env.py` - Minimal BlackjackEnv (returns next observation) -4. `rollouts.py` - Uses TokenAccumulator for token management -5. `main.py` - Main training loop with GRPO - -### Token Accumulation Flow -```python -# Initialize with system message -accumulator = TokenAccumulator( - tokenizer=tokenizer, - messages=[{"role": "system", "content": "..."}], - max_seq_len=2048, - eos_token_id=tokenizer.eos_token_id, - sanity_check_mode=SanityCheckMode.DISABLE, # Disable in production -) - -# Add initial env observation -accumulator.add_user_message(env.reset(), check_budget=False) - -# Game loop -while not game_done and turn_num < max_turns: - # Check budget - remaining = accumulator.get_remaining_budget() - if remaining <= 0: - break - - # Generate - prompt = accumulator.format_prompt() - response = await policy.generate([prompt], max_tokens=remaining) - - # Add assistant response (with role headers + logprobs) - success = accumulator.add_assistant_response( - response.text, response.token_ids, response.logprobs - ) - if not success: # Truncated - break - - # Step environment - result = env.step(response.text) - if result.done: - break - - # Add env observation (with role headers) - success = accumulator.add_user_message(result.observation["content"]) - if not success: # Would exceed budget - break - -# Create episode -episode = Episode( - all_token_ids=torch.tensor(accumulator.all_tokens), - logprobs=torch.tensor(accumulator.logprobs), - response_mask=torch.tensor(accumulator.response_mask), - message_log=accumulator.messages, - is_truncated=accumulator.is_truncated, - ... -) -``` - -### BASE Anchor Pattern Visualization -``` -Turn 1: - BASE: [system, empty_user] - Tokenize: BASE + [assistant:"HIT"] → extract delta from base_len_wo_gen - Result: <|im_start|>assistant\nHIT<|im_end|>\n (7 tokens) - -Turn 2: - Tokenize: [system] + [user:"Hand: 16"] → extract delta from system_len - Result: <|im_start|>user\nHand: 16<|im_end|>\n (16 tokens) - - Tokenize: BASE + [assistant:"STAND"] → extract delta from base_len_wo_gen - Result: <|im_start|>assistant\nSTAND<|im_end|>\n (7 tokens) -``` - -Instead of tokenizing full history each turn (2, 4, 6... messages), we tokenize BASE + 1 message (always 2-3 messages). - ---- - -## Comparison: Manual vs TokenAccumulator - -| Aspect | Manual (V5) | TokenAccumulator (V8) | -|--------|-------------|----------------------| -| **Lines in rollout** | ~100 lines | ~60 lines | -| **Tokenization calls/turn** | 4-5 | 2-3 | -| **Complexity** | O(N²) | O(N) | -| **Role headers** | Manual tokenize.encode() | Automatic in delta | -| **Logprobs alignment** | Manual padding | Automatic | -| **Validation** | Manual ground truth check | Built-in finalize() | -| **Reusability** | Coupled to blackjack | General-purpose class | - ---- - -## Config - -```yaml -blackjack_env: - server_url: "http://localhost:8004" - max_seq_len: 2048 - max_turns: 10 - -grpo: - group_size: 16 - accept_truncated: true - -policy: - model: "meta-llama/Meta-Llama-3.1-8B-Instruct" # Or "Qwen/Qwen2.5-1.5B-Instruct" -``` - ---- - -## Testing - -The TokenAccumulator implementation has been tested with: -- **Qwen 2.5 1.5B Instruct** - eos_token_id: 151645 (`<|im_end|>`) -- **Llama 3.1 8B Instruct** - eos_token_id: 128009 (`<|eot_id|>`) - -All 5 test cases pass: -1. Normal rollout (no truncation) ✅ -2. vLLM truncation (generation hits max_tokens) ✅ -3. Env observation truncation (adding env obs exceeds budget) ✅ -4. Early exit (initial prompt exceeds budget) ✅ -5. Long env observation (truncate mid-content) ✅ - -Test file: `/home/felipemello/forge/test_simple_vllm_v2.py` - ---- - -**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation_v6_token_accumulation_insights.md b/brainstorming_forge_tau/changes/3_truncation_v6_token_accumulation_insights.md deleted file mode 100644 index 347917706..000000000 --- a/brainstorming_forge_tau/changes/3_truncation_v6_token_accumulation_insights.md +++ /dev/null @@ -1,635 +0,0 @@ -# Token Accumulation Insights - How to Fix V5 - -**Date:** 2025-01-16 -**Context:** Understanding how to correctly accumulate tokens incrementally in multi-turn episodes - ---- - -## The Critical Question - -**When adding environment/tool responses to the conversation, should we:** -1. Tokenize just the content string: `tokenizer.encode(obs_text)`? -2. Use chat template on the new message: `tokenizer.apply_chat_template([new_message])`? -3. Re-tokenize the full conversation and extract the delta (prefix matching)? -4. Get token IDs from the generation engine response? - -**Answer: It depends on the library, but there are THREE distinct patterns.** - ---- - -## Pattern 1: Get Token IDs from Generation Response (TRL) - -**Used by:** TRL, VERL SGLang Rollout (preferred mode) - -**How it works:** -- The generation engine (vLLM) returns token IDs along with the text -- No need to tokenize again - just use what the engine provides -- **Most efficient** and **guaranteed to match** what the model saw - -### TRL Example - -**File:** `trl/examples/scripts/openenv/wordle.py:342-381` - -```python -# Build prompt text -prompt_text = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=False, # Get text, not tokens -) - -# Call vLLM -vllm_result = request_vllm_completion(prompt_text, args, ...) - -# Get token IDs from vLLM response -prompt_ids.extend(vllm_result["prompt_ids"]) # Prompt tokens -completion_ids.extend(vllm_result["completion_ids"]) # Response tokens -logprobs.extend(vllm_result["logprobs"]) -``` - -### VERL SGLang Rollout Example - -**File:** `verl/workers/rollout/sglang_rollout/sglang_rollout.py:910-915` - -```python -if self.config.skip_tokenizer_init: - # Use token IDs directly from engine - content_ids = output["output_ids"] - content = self.processing_class.decode(content_ids, skip_special_tokens=True) -else: - # Fallback to prefix matching - content = output["text"] - content_ids = None # Will trigger prefix matching -``` - -**Key advantage:** Zero tokenization overhead, perfect alignment with model. - -**When to use:** -- During rollout with vLLM/SGLang server -- When engine returns token IDs -- For maximum efficiency - ---- - -## Pattern 2: Prefix Matching with apply_chat_template (VERL, Verifiers) - -**Used by:** VERL Tool Agent Loop, Verifiers - -**How it works:** -- Re-tokenize the full conversation with `apply_chat_template` -- Compare with previous tokenization to extract only new tokens -- Relies on the **prefix property**: `tokenize([A, B])` starts with same tokens as `tokenize([A])` - -### Verifiers Example - -**File:** `verifiers/utils/processing_utils.py:129-145` - -```python -# Tokenize conversation UP TO last completed turn -token_prefix = processing_class.apply_chat_template( - conversation=messages_consumed, - add_generation_prompt=False, - tools=oai_tools, -) - -# Tokenize WITH new messages added -token_prefix_with_turn = processing_class.apply_chat_template( - conversation=messages_consumed + consecutive_messages, - add_generation_prompt=True, - tools=oai_tools, -) - -# Assert prefix property holds -assert token_prefix_with_turn[:len(token_prefix)] == token_prefix - -# Extract ONLY the new tokens -completion_turn_ids = token_prefix_with_turn[len(token_prefix):] -``` - -### VERL Tool Agent Loop Example - -**File:** `verl/experimental/agent_loop/tool_agent_loop.py:355-375` - -```python -# Tokenize tool response messages -response_ids = await self.loop.run_in_executor( - None, - lambda: self.tokenizer.apply_chat_template( - add_messages, # New tool/env messages - add_generation_prompt=True, - tokenize=True - ), -) - -# Strip the system prompt prefix -response_ids = response_ids[len(self.system_prompt):] - -# Accumulate -agent_data.prompt_ids += response_ids -agent_data.response_mask += [0] * len(response_ids) # Mark as observation -``` - -**Key advantage:** Guaranteed correctness - tokens match what `apply_chat_template` produces. - -**When to use:** -- Offline processing / data preparation -- When you don't have access to engine token IDs -- When you need perfect chat template formatting - -**Gotchas:** -- Prefix property can fail if tokenizer behavior is context-dependent -- Must keep `add_generation_prompt` consistent -- O(n²) complexity (re-tokenize growing conversation each turn) - ---- - -## Pattern 3: Tokenize Each Message Independently (NeMo-RL) - -**Used by:** NeMo-RL - -**How it works:** -- Each message is tokenized separately and stores its own `token_ids` -- At training time, concatenate all `token_ids` from message log -- **Does NOT use `apply_chat_template` for environment responses** - -### NeMo-RL Example - -**File:** `RL/nemo_rl/experience/rollouts.py:446-477` - -```python -# Get environment observation text -env_obs_content = env_output.observations[i]["content"] - -# Tokenize the raw content (NO chat template!) -# TODO @sahilj: handle if we want these subsequent messages to have a chat template -tokenized_obs = tokenizer( - env_obs_content, - return_tensors="pt", - add_special_tokens=False # No special tokens -).input_ids[0] - -# Store in message log -tokenized_env_obs_message = { - "role": "environment", - "content": env_obs_content, - "token_ids": tokenized_obs, # Raw tokens stored -} -current_batch["message_log"][global_idx].append(tokenized_env_obs_message) -``` - -**At training time** (`RL/nemo_rl/data/llm_message_utils.py:36-123`): - -```python -def message_log_to_flat_messages(message_log): - """Concatenate token_ids from all messages.""" - result = {"token_ids": []} - - for message in message_log: - result["token_ids"].append(message["token_ids"]) - - # Concatenate all token_ids tensors - concat["token_ids"] = torch.cat(result["token_ids"]) - return concat -``` - -**Key insight:** Environment responses are tokenized as **raw text WITHOUT chat template formatting** (no role headers, turn separators, etc.) - -**When to use:** -- When you want simplicity -- When environment responses don't need chat template formatting -- When you're okay with potentially missing special tokens between turns - -**Gotchas:** -- Tokens may NOT match what `apply_chat_template` would produce for the full conversation -- Missing role markers and special tokens between turns -- There's even a TODO comment acknowledging this limitation - ---- - -## The Critical Difference: `encode()` vs `apply_chat_template()` - -### Example with Llama-3 - -```python -message = {"role": "user", "content": "Hand: 15, Dealer: 10"} - -# Method 1: Encode content only -tokens_content = tokenizer.encode("Hand: 15, Dealer: 10", add_special_tokens=False) -# Result: [2367, 25, 220, 868, 11, 79289, 25, 220, 605] -# [Hand : 1 5 , Dealer : 1 0 ] - -# Method 2: Apply chat template -tokens_chat = tokenizer.apply_chat_template( - [message], - add_generation_prompt=False, - tokenize=True -) -# Result: [128000, 128006, 882, 128007, 271, 2367, 25, 220, 868, 11, 79289, 25, 220, 605, 128009] -# [BOS ][start_header][user][end_header][nl][Hand: 15, Dealer: 10 ][eot_id] - -# Method 3: Apply chat template with generation prompt -tokens_chat_gen = tokenizer.apply_chat_template( - [message], - add_generation_prompt=True, - tokenize=True -) -# Result: [128000, 128006, 882, 128007, 271, 2367, 25, 220, 868, 11, 79289, 25, 220, 605, 128009, 128006, 78191, 128007, 271] -# [BOS ][start_header][user][end_header][nl][Hand: 15, Dealer: 10 ][eot_id][start_header][assistant][end_header][nl] -``` - -**Key differences:** -1. **BOS token** (`128000`) - only in chat template -2. **Role headers** (`<|start_header_id|>user<|end_header_id|>`) - only in chat template -3. **End-of-turn token** (`128009`) - only in chat template -4. **Generation prompt** (`<|start_header_id|>assistant<|end_header_id|>`) - only when `add_generation_prompt=True` - -**This means:** If you tokenize just the content, you're missing 4-6 special tokens PER MESSAGE! - ---- - -## What V5 Is Doing Wrong - -Looking at `3_truncation_v5_simplified_env.md:349-360`: - -```python -# After env.step(), tokenize and potentially truncate observation -if not result.done: - messages.append(result.observation.message) - - # Tokenize and add to all_tokens - obs_text = result.observation.message["content"] - obs_tokens = tokenizer.encode(obs_text, add_special_tokens=False) - - # TODO: Add truncation for long observations if needed - all_tokens.extend(obs_tokens) - all_logprobs.extend([0.0] * len(obs_tokens)) - response_mask.extend([0] * len(obs_tokens)) # Don't train on env observations -``` - -**Problems:** -1. ❌ Tokenizes only the content string, not the full message with chat template -2. ❌ Missing role headers, turn separators, and special tokens -3. ❌ `all_tokens` won't match what the model actually sees next turn -4. ❌ Budget calculation will be WRONG (underestimating actual token count) - -**Example of the mismatch:** - -```python -# V5 current approach (WRONG): -obs_tokens = tokenizer.encode("Hand: 18, Dealer: Ace", add_special_tokens=False) -# [2367, 25, 220, 972, 11, 79289, 25, 42964] (8 tokens) - -# What the model ACTUALLY sees next turn when we call apply_chat_template: -prompt = tokenizer.apply_chat_template(messages, add_generation_prompt=True) -# Includes: [eot_id, start_header, user, end_header, nl, content, eot_id, start_header, assistant, end_header, nl] -# Total: 8 content tokens + 6 special tokens = 14 tokens! -``` - -**Impact:** -- Budget tracking is off by ~40% (missing 6 tokens per turn) -- Episode may exceed `max_seq_len` without detecting it -- Training data tokens don't match what model saw during generation - ---- - -## How to Fix V5: Three Options - -### Option A: Use vLLM Token IDs (RECOMMENDED - Most Efficient) - -**Pattern:** Like TRL/VERL SGLang - -**Change 1:** Get prompt token IDs from generation response - -```python -# In do_single_rollout(), after generate -responses = await policy.generate.route( - [prompt], - sampling_params={"max_tokens": remaining} -) -response = responses[0] - -# Get prompt tokens from response (if available) -if hasattr(response, 'prompt_token_ids'): - prompt_tokens = response.prompt_token_ids -else: - # Fallback: encode - prompt_tokens = tokenizer.encode(prompt, add_special_tokens=False) - -# Accumulate prompt + response -all_tokens.extend(prompt_tokens) -all_tokens.extend(response.token_ids) -response_mask.extend([0] * len(prompt_tokens)) -response_mask.extend([1] * len(response.token_ids)) -all_logprobs.extend([0.0] * len(prompt_tokens)) -all_logprobs.extend(response.logprobs) -``` - -**Change 2:** For environment observations, use prefix matching - -```python -# After env.step() -if not result.done: - # Add observation to messages - messages.append(result.observation.message) - - # Tokenize full conversation to get correct token count - full_prompt = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=True, - enable_thinking=False, - ) - - # Extract only the NEW tokens (env observation + special tokens) - obs_tokens = full_prompt[len(all_tokens):] - - # Accumulate - all_tokens.extend(obs_tokens) - all_logprobs.extend([0.0] * len(obs_tokens)) - response_mask.extend([0] * len(obs_tokens)) -``` - -**Pros:** -- ✅ Guaranteed correctness - tokens match what model sees -- ✅ Efficient - vLLM already computed prompt tokens -- ✅ Handles all special tokens automatically - -**Cons:** -- Requires vLLM response to include `prompt_token_ids` -- Slightly more complex logic - ---- - -### Option B: Full Prefix Matching (Most Correct) - -**Pattern:** Like Verifiers - -**Implementation:** - -```python -# Track cumulative token count -cumulative_tokens = 0 - -for turn in range(max_turns): - # Build prompt from messages - prompt_text = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=False, - enable_thinking=False, - ) - - # Tokenize full conversation - full_tokens = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=True, - enable_thinking=False, - ) - - # Extract NEW tokens since last turn (prefix matching) - new_prompt_tokens = full_tokens[cumulative_tokens:] - cumulative_tokens = len(full_tokens) - - # Check budget BEFORE generating - if cumulative_tokens >= max_seq_len: - truncation_reason = "max_seq_len" - break - - remaining = max_seq_len - cumulative_tokens - - # Generate - responses = await policy.generate.route( - [prompt_text], - sampling_params={"max_tokens": remaining} - ) - response = responses[0] - - # Accumulate prompt tokens (the delta) - all_tokens.extend(new_prompt_tokens) - response_mask.extend([0] * len(new_prompt_tokens)) - all_logprobs.extend([0.0] * len(new_prompt_tokens)) - - # Accumulate response tokens - all_tokens.extend(response.token_ids) - response_mask.extend([1] * len(response.token_ids)) - all_logprobs.extend(response.logprobs) - cumulative_tokens += len(response.token_ids) - - # Add assistant response to messages - messages.append({"role": "assistant", "content": response.text}) - - # Step environment - result = env.step(action_text=response.text) - - if not result.done: - # Add env observation to messages - messages.append(result.observation.message) - # (Tokens will be extracted at top of next loop via prefix matching) -``` - -**Pros:** -- ✅ Most correct - perfect alignment with chat template -- ✅ Handles all edge cases automatically -- ✅ Clear separation of concerns - -**Cons:** -- Re-tokenizes full conversation each turn (O(n²) complexity) -- More expensive computationally - ---- - -### Option C: Simplified NeMo-RL Pattern (Simplest) - -**Pattern:** Like NeMo-RL, but acknowledge the limitations - -**Implementation:** - -```python -# Accept that we tokenize messages independently -# This means we DON'T get the exact chat template formatting - -for turn in range(max_turns): - # Build prompt text - prompt_text = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=False, - ) - - # Encode prompt to check budget (approximate) - prompt_tokens = tokenizer.encode(prompt_text, add_special_tokens=False) - - # Generate - responses = await policy.generate.route([prompt_text], ...) - response = responses[0] - - # Accumulate prompt + response tokens - all_tokens.extend(prompt_tokens) - all_tokens.extend(response.token_ids) - response_mask.extend([0] * len(prompt_tokens)) - response_mask.extend([1] * len(response.token_ids)) - - # Step environment - result = env.step(...) - - if not result.done: - # Tokenize observation content only (like NeMo-RL) - obs_text = result.observation.message["content"] - obs_tokens = tokenizer.encode(obs_text, add_special_tokens=False) - - all_tokens.extend(obs_tokens) - response_mask.extend([0] * len(obs_tokens)) - - messages.append(result.observation.message) -``` - -**Pros:** -- ✅ Simplest implementation -- ✅ Works for simple cases - -**Cons:** -- ❌ Tokens don't perfectly match chat template -- ❌ Budget tracking is approximate -- ❌ May break with complex chat templates or tool calling - ---- - -## Recommendation: Option A (vLLM Token IDs + Prefix Matching) - -**Why:** -1. **Efficient**: Uses vLLM's already-computed tokens when available -2. **Correct**: Falls back to prefix matching for environment observations -3. **Future-proof**: Works with tool calling, complex templates -4. **Clear**: Separates response tokens (from engine) vs observation tokens (prefix matching) - -**Implementation sketch:** - -```python -async def do_single_rollout(...) -> Episode: - messages = messages.copy() - all_tokens = [] - all_logprobs = [] - response_mask = [] - - # Reset environment - initial_obs = env.reset() - messages.append({"role": "user", "content": initial_obs}) - - for turn_num in range(max_turns): - # Format prompt - prompt = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=False, - ) - - # Tokenize to check budget and get prompt tokens - prompt_tokens_for_budget = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=True, - ) - - # Extract NEW prompt tokens since last turn (prefix matching) - new_prompt_tokens = prompt_tokens_for_budget[len(all_tokens):] - - # Check budget - if len(all_tokens) + len(new_prompt_tokens) >= max_seq_len: - truncation_reason = "max_seq_len" - break - - remaining = max_seq_len - (len(all_tokens) + len(new_prompt_tokens)) - - # Generate - responses = await policy.generate.route( - [prompt], - sampling_params={"max_tokens": remaining} - ) - response = responses[0] - - # Accumulate NEW prompt tokens - all_tokens.extend(new_prompt_tokens) - all_logprobs.extend([0.0] * len(new_prompt_tokens)) - response_mask.extend([0] * len(new_prompt_tokens)) - - # Accumulate response tokens - all_tokens.extend(response.token_ids) - all_logprobs.extend(response.logprobs) - response_mask.extend([1] * len(response.token_ids)) - - # Add to messages - messages.append({"role": "assistant", "content": response.text}) - - # Step environment - result = env.step(action_text=response.text) - - if not result.done: - # Add observation to messages - messages.append(result.observation.message) - # Tokens will be extracted at next iteration via prefix matching - else: - break - - return Episode( - all_token_ids=torch.tensor(all_tokens, dtype=torch.long), - logprobs=torch.tensor(all_logprobs, dtype=torch.float), - response_mask=torch.tensor(response_mask, dtype=torch.float), - ... - ) -``` - -**Key points:** -1. Use `apply_chat_template(tokenize=True)` to get the FULL token sequence -2. Extract delta via `new_tokens = full_tokens[len(all_tokens):]` (prefix matching) -3. This captures ALL special tokens, role markers, etc. -4. Budget calculation is exact -5. Works for environment observations, tool responses, everything - ---- - -## Summary Table - -| Pattern | Libraries | Efficiency | Correctness | Complexity | Use When | -|---------|-----------|------------|-------------|------------|----------| -| **vLLM Token IDs** | TRL, VERL SGLang | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐ | Online rollout with vLLM | -| **Prefix Matching** | VERL Agent Loop, Verifiers | ⭐ | ⭐⭐⭐ | ⭐⭐⭐ | Offline processing, guaranteed correctness | -| **Independent Messages** | NeMo-RL | ⭐⭐ | ⭐ | ⭐ | Simple cases, no complex templates | -| **Hybrid (RECOMMENDED)** | - | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐ | Best of both worlds | - ---- - -## Action Items for V5 - -1. ✅ **Change environment observation tokenization** from `tokenizer.encode(content)` to prefix matching -2. ✅ **Track cumulative tokens** correctly including all special tokens -3. ✅ **Update budget checks** to use the correct token count -4. ✅ **Add assertions** to verify prefix property holds (optional, for debugging) -5. ✅ **Test** that `all_token_ids` matches what model sees when we call `apply_chat_template` - ---- - -## Testing the Fix - -Add this validation to ensure correctness: - -```python -# At the end of do_single_rollout() -# Verify that all_tokens matches full conversation tokenization -full_tokens_check = tokenizer.apply_chat_template( - messages, - add_generation_prompt=False, # No gen prompt at end - tokenize=True, -) - -# They should match (or be very close, accounting for final generation prompt) -if len(all_tokens) != len(full_tokens_check): - logger.warning( - f"Token count mismatch: all_tokens={len(all_tokens)}, " - f"full_recompute={len(full_tokens_check)}" - ) -``` - ---- - -**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation_v7_library_comparison.md b/brainstorming_forge_tau/changes/3_truncation_v7_library_comparison.md deleted file mode 100644 index 8711e5642..000000000 --- a/brainstorming_forge_tau/changes/3_truncation_v7_library_comparison.md +++ /dev/null @@ -1,866 +0,0 @@ -# Truncation V7: Library Comparison & Simplification Recommendations - -**Date:** 2025-01-16 -**Research:** Comprehensive analysis of 6 RL codebases (TRL, VERL, Prime-RL, NeMo-RL, Verifiers, Tinker-Cookbook) -**Goal:** Identify how other libraries handle multi-turn truncation and find simplification opportunities - ---- - -## Executive Summary - -After exploring 6 major RL codebases, the key finding is: - -**🔑 CRITICAL INSIGHT: Most libraries use `response.token_ids` DIRECTLY from vLLM, NOT prefix matching!** - -Our current implementation is **over-complicated** because we're using prefix matching to extract assistant tokens. The industry standard is to: - -1. **Use vLLM's token IDs directly** via `output.token_ids` or special flags -2. **Only use prefix matching for environment observations** (user/tool messages) -3. **Pre-compute offsets** using BASE anchors to minimize tokenization calls -4. **Store tokenized chunks** to avoid re-tokenization - ---- - -## Comparison Table: How Each Library Handles It - -| Library | Assistant Token Extraction | Tokenization Calls/Turn | Budget Tracking | Key Optimization | -|---------|---------------------------|------------------------|-----------------|------------------| -| **TRL** | ✅ Direct `response.token_ids` (vLLM)
⚠️ Prefix matching (transformers) | 1 call | Static `max_prompt_length` | Token merge detection (-1 adjust) | -| **VERL** | ✅ Direct `output["output_ids"]` | 1-2 calls | Pre-generation check | BASE_CHAT_HISTORY anchor + delta tokenization | -| **Prime-RL** | ✅ Direct via `return_tokens_as_token_ids=True` | 2 calls (user/tool only) | Turn-based + post-hoc | Monkey-patch Pydantic for speed | -| **NeMo-RL** | ✅ Length-based slicing `output_ids[input_len:total_len]` | 1 call | Per-sample counters | Pre-tokenize and store in message log | -| **Verifiers** | ✅ Direct via `return_tokens_as_token_ids=True` | 2 calls (user/tool only) | Static + post-truncation | Batch consecutive messages | -| **Tinker** | ✅ Direct `response.sequences[0].tokens` | 1 call | Simple length check | Renderer abstraction layer | -| **Our Current** | ❌ Prefix matching for everything | 3+ calls | Dynamic per-turn | None | - -**Verdict:** We're the ONLY implementation using prefix matching for assistant tokens! Everyone else uses direct token IDs from the generation engine. - ---- - -## Detailed Findings by Library - -### 1. TRL (Transformers Reinforcement Learning) - -**Path:** `/home/felipemello/forge/trl/` - -#### Multi-turn Token Accumulation -```python -# trl/examples/scripts/openenv/wordle.py:342-387 -prompt_ids: list[int] = [] -completion_ids: list[int] = [] -logprobs: list[float] = [] - -for _turn in range(max_turns): - # Extend token lists (simple accumulation) - prompt_ids.extend(vllm_result["prompt_ids"]) - completion_ids.extend(vllm_result["completion_ids"]) - logprobs.extend(vllm_result["logprobs"]) -``` - -**Pattern:** Simple `.extend()` accumulation across turns. - -#### Assistant Token Extraction - -**Method A: vLLM Backend (GRPO/RLOO)** -```python -# trl/trainer/grpo_trainer.py:1274-1275 -all_prompt_ids = [output.prompt_token_ids for output in all_outputs] -all_completion_ids = [output.token_ids for outputs in all_outputs for output in outputs.outputs] -``` - -**Method B: Prefix Matching (DPO/ORPO/CPO)** -```python -# trl/trainer/orpo_trainer.py:381-421 -def build_tokenized_answer(self, prompt, answer): - full_tokenized = self.processing_class(prompt + answer, add_special_tokens=False) - prompt_input_ids = self.processing_class(prompt, add_special_tokens=False)["input_ids"] - - # Slice to extract answer tokens - answer_input_ids = full_tokenized["input_ids"][len(prompt_input_ids):] - - # CRITICAL: Handle tokenizer merging - response_token_ids_start_idx = len(prompt_input_ids) - if prompt_input_ids != full_tokenized["input_ids"][:response_token_ids_start_idx]: - response_token_ids_start_idx -= 1 # Adjust for token merge! - - return full_tokenized["input_ids"][response_token_ids_start_idx:] -``` - -**Key Insight:** When using prefix matching, they check for **token merge** and adjust by -1 if detected. - -#### Tokenization Calls -- **Online (vLLM):** 1 call per turn to `apply_chat_template` (tokenization inside vLLM) -- **Offline (transformers):** 2 calls (prompt alone + prompt+answer) - -#### Truncation -```python -# trl/trainer/grpo_trainer.py:1247, 1302, 1350 -"truncate_prompt_tokens": self.max_prompt_length, # vLLM -"max_length": self.max_prompt_length, # transformers -"truncation": True, -``` - -No explicit tracking of whether truncation occurred (unlike our implementation). - -#### Key Files -- `/home/felipemello/forge/trl/trl/trainer/orpo_trainer.py` (prefix matching) -- `/home/felipemello/forge/trl/trl/trainer/grpo_trainer.py` (vLLM direct extraction) -- `/home/felipemello/forge/trl/examples/scripts/openenv/wordle.py` (multi-turn) - ---- - -### 2. VERL - -**Path:** `/home/felipemello/forge/verl/` - -#### Multi-turn Token Accumulation: Delta-Based with BASE Anchor - -**Revolutionary approach:** They use a **BASE conversation anchor** to avoid full retokenization! - -```python -# verl/workers/rollout/schemas.py:31-34 -BASE_CHAT_HISTORY = [ - {"role": "system", "content": "You are a helpful assistant."}, - {"role": "user", "content": "I am a user."} -] - -# Pre-compute offsets during initialization (lines 204-221) -base_conv_wo_gen_prompt_end_pos = len(tokenizer.apply_chat_template( - BASE_CHAT_HISTORY, add_generation_prompt=False, tokenize=True -)) -base_conv_with_gen_prompt_end_pos = len(tokenizer.apply_chat_template( - BASE_CHAT_HISTORY + [{"role": "assistant", "content": ""}], - add_generation_prompt=False, tokenize=True -)) -``` - -**Adding messages (lines 379-412):** -```python -def add_user_message(self, processing_class, content: str): - self.messages.append(Message(role="user", content=content)) - - # Tokenize ONLY the new message using BASE anchor - messages = [*BASE_CHAT_HISTORY, self.messages[-1]] - content_ids = self._handle_apply_chat_template( - processing_class, messages, add_generation_prompt=False, tokenize=True - )[..., self.base_conv_wo_gen_prompt_end_pos:] # Slice from pre-computed offset! - - self._update_input_ids(processing_class, content_ids, loss_mask=False) - -def add_assistant_message(self, processing_class, content_ids: Optional[torch.Tensor] = None): - if content_ids is None: # Fallback if engine doesn't provide token IDs - messages = [*BASE_CHAT_HISTORY, self.messages[-1]] - content_ids = self._handle_apply_chat_template( - processing_class, messages, add_generation_prompt=False, tokenize=True - )[..., self.base_conv_with_gen_prompt_end_pos:] # Slice from offset! - - self._update_input_ids(processing_class, content_ids, loss_mask=True) -``` - -#### Assistant Token Extraction -```python -# verl/workers/rollout/sglang_rollout/sglang_rollout.py:910-915 -if self.config.skip_tokenizer_init: - content_ids = output["output_ids"] # DIRECT from engine! - content = self.processing_class.decode(content_ids, skip_special_tokens=True) -else: - content_ids = None # Will use delta tokenization fallback - content = output["text"] -``` - -**Key Config:** `skip_tokenizer_init=True` enables direct token extraction. - -#### Tokenization Calls -- **With `skip_tokenizer_init=True`:** 0-1 calls per turn (only for user messages) -- **Without:** 1-2 calls per turn - -#### Validation -```python -# verl/workers/rollout/schemas.py:566-641 -def finalize(self, processing_class, reward_scores, finish_reason_type): - # Compare delta-based vs full tokenization (sanity check!) - full_prompt_ids = self._handle_apply_chat_template( - processing_class, self.messages, tokenize=True - ) - - if diffs := self._get_prompt_diffs(processing_class, full_prompt_ids, self.input_ids): - logger.warning("Inconsistent tokenization detected...") -``` - -Configurable modes: `strict`, `ignore_strippable`, `disable`. - -#### Key Files -- `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` (BASE anchor + delta tokenization) -- `/home/felipemello/forge/verl/verl/workers/rollout/sglang_rollout/sglang_rollout.py` (direct extraction) -- `/home/felipemello/forge/verl/docs/sglang_multiturn/multiturn.rst` (documentation) - ---- - -### 3. Prime-RL & Verifiers - -**Path:** `/home/felipemello/forge/prime-rl/`, `/home/felipemello/forge/verifiers/` - -These share the same core utilities. - -#### Assistant Token Extraction: Direct with Special Flag - -**The secret sauce:** -```python -# verifiers/orchestrator/patches.py:131-145 -def patched_parse_chat_completion_tokens(chat_completion: ModdedChatCompletion) -> list[int]: - tokens = [ - int(token["token"].split(":")[-1]) # Parse "token_id:" format - for token in chat_completion.choices[0].logprobs["content"] - ] - return tokens - -# verifiers/rl/trainer/config.py:322 -sampling_args["extra_body"] = { - "return_tokens_as_token_ids": True, # THIS IS THE KEY! -} -``` - -vLLM returns tokens in format `"token_id:123"` which they parse to get raw IDs. - -#### Prefix Matching for User/Tool Messages -```python -# verifiers/utils/processing_utils.py:130-145 -# Tokenize conversation ending at last assistant response -token_prefix = processing_class.apply_chat_template( - conversation=messages_consumed, - add_generation_prompt=False, - tools=oai_tools, -) - -# Tokenize with new user/tool messages -token_prefix_with_turn = processing_class.apply_chat_template( - conversation=messages_consumed + consecutive_messages, - add_generation_prompt=True, - tools=oai_tools, -) - -# Extract the delta -assert token_prefix_with_turn[:len(token_prefix)] == token_prefix -completion_turn_ids = token_prefix_with_turn[len(token_prefix):] -``` - -**Assertion:** They validate prefix property holds! - -#### Performance Trick: Monkey-Patching -```python -# verifiers/orchestrator/patches.py:94-151 -def monkey_patch_chat_completion_logprobs(): - """ - At large batch sizes and context, constructing OAI's Pydantic model - ChatCompletion with logprobs causes heavy CPU overhead (~200ms per - object at 32K context = >10min at 4K batch size). - """ -``` - -They bypass Pydantic validation to save **10+ minutes of overhead** at scale! - -#### Truncation Philosophy -```python -# prime-rl/batch.py:48-53 -if len(input_ids) > seq_len: - raise ValueError( - "This should never happen. Always set max_tokens appropriately." - ) -``` - -**Philosophy:** "Never truncate during training - it creates bad learning signal. Use max_tokens correctly." - -#### Key Files -- `/home/felipemello/forge/verifiers/verifiers/utils/processing_utils.py` (prefix matching) -- `/home/felipemello/forge/verifiers/verifiers/orchestrator/patches.py` (token extraction + optimization) -- `/home/felipemello/forge/prime-rl/src/prime_rl/orchestrator/utils.py` (truncation detection) - ---- - -### 4. NeMo-RL - -**Path:** `/home/felipemello/forge/RL/nemo_rl/` - -#### Multi-turn Strategy: Pre-tokenize and Store - -**Revolutionary pattern:** Store `token_ids` in message dicts! - -```python -# nemo_rl/experience/rollouts.py:85-110 -message_log = [ - { - "role": "user", - "content": "Hello", - "token_ids": torch.tensor([1, 2, 3]) # PRE-TOKENIZED! - }, - { - "role": "assistant", - "content": "Hi", - "token_ids": torch.tensor([4, 5, 6]), # STORED - "generation_logprobs": torch.tensor([...]) - } -] -``` - -**Accumulation = concatenation:** -```python -# nemo_rl/experience/rollouts.py:388-394 -active_flat_messages, active_input_lengths = batched_message_log_to_flat_message( - active_batch["message_log"], - pad_value_dict={"token_ids": tokenizer.pad_token_id}, -) -active_input_ids = active_flat_messages["token_ids"] # Just concat! -``` - -#### Assistant Token Extraction: Length-Based Slicing -```python -# nemo_rl/experience/rollouts.py:85-102 -for i in range(len(input_lengths)): - input_len = input_lengths[i].item() - total_length = unpadded_sequence_lengths[i].item() - - # Slice generated tokens using lengths from vLLM - generated_part = output_ids[i, input_len:total_length] - - # Store in message log - assistant_message = { - "role": "assistant", - "content": tokenizer.decode(generated_part), - "token_ids": generated_part, # STORE - } -``` - -**No prefix matching - just use vLLM's reported lengths!** - -#### Incremental Tokenization During Data Prep -```python -# nemo_rl/data/llm_message_utils.py:541-552 -for i, message in enumerate(message_log_strs): - formatted_message = tokenizer.apply_chat_template( - message_log_strs[:i+1], # All messages up to i - **template_kwargs - ) - - # Find where previous formatted output ends - prev_message_len_no_eos = get_first_index_that_differs( - prev_formatted_message, formatted_message - ) - - # Extract just the new chunk - message_chunk = formatted_message[prev_message_len_no_eos:] -``` - -This is for **data preparation** (creating the initial tokenized message log), not during rollout. - -#### Key Files -- `/home/felipemello/forge/RL/nemo_rl/experience/rollouts.py` (main rollout logic) -- `/home/felipemello/forge/RL/nemo_rl/data/llm_message_utils.py` (incremental tokenization) - ---- - -### 5. Tinker-Cookbook - -**Path:** `/home/felipemello/forge/tinker-cookbook/` - -#### Architecture: Renderer Abstraction - -All tokenization logic is in `Renderer` classes: - -```python -# tinker_cookbook/renderers.py:189-202 -class RoleColonRenderer: - def build_generation_prompt(self, messages: list[Message]) -> tinker.ModelInput: - tokens = [] - tokens.extend(self._bos_tokens) - - for message in messages: - ob_part, action_part, _ = self._render_message(message) - tokens.extend(ob_part) - tokens.extend(action_part) - - # Add generation prompt - new_partial_message = Message(role=role, content="") - ob_part, _, _ = self._render_message(new_partial_message) - tokens.extend(ob_part) - - return tinker.ModelInput.from_ints(tokens) -``` - -#### Assistant Token Extraction: Trust Engine -```python -# tinker_cookbook/completers.py:58-74 -async def __call__(self, model_input: tinker.ModelInput, stop: StopCondition): - sample_result = await self.sampling_client.sample_async( - prompt=model_input, - sampling_params=tinker.SamplingParams(stop=stop, max_tokens=self.max_tokens), - ) - - # Direct extraction - NO prefix matching! - sampled_tokens = sample_result.sequences[0].tokens - sampled_logprobs = sample_result.sequences[0].logprobs - - return TokensWithLogprobs(tokens=sampled_tokens, maybe_logprobs=sampled_logprobs) -``` - -#### Prefix Matching in Data Processing -```python -# tinker_cookbook/rl/data_processing.py:147-168 -def _is_prefix(seq1: FlatOb, seq2: FlatOb) -> bool: - return len(seq1) <= len(seq2) and seq2[:len(seq1)] == seq1 - -for transition in traj.transitions: - ob_flat = _flatten_chunks(ob.chunks) - - if len(SequenceAccumulator.full_sequence) == 0: - delta_ob_flat = ob_flat - elif _is_prefix(SequenceAccumulator.full_sequence, ob_flat): - # Only accumulate the NEW tokens (delta) - delta_ob_flat = ob_flat[len(SequenceAccumulator.full_sequence):] - else: - # Not a prefix - start new datum - data.append(make_datum_from_state()) -``` - -Prefix matching is used **during data assembly**, not during rollout! - -#### Key Files -- `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/completers.py` (direct extraction) -- `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/renderers.py` (renderer abstraction) -- `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/rl/data_processing.py` (prefix matching) - ---- - -## Common Patterns Across All Libraries - -### 1. **Direct Token Extraction from Engine** - -**All 6 libraries** use direct token extraction for assistant messages: - -| Library | Method | -|---------|--------| -| TRL | `output.token_ids` (vLLM) | -| VERL | `output["output_ids"]` | -| Prime-RL/Verifiers | `return_tokens_as_token_ids=True` | -| NeMo-RL | `output_ids[input_len:total_len]` | -| Tinker | `sample_result.sequences[0].tokens` | - -**Our implementation:** ❌ Uses prefix matching instead - -### 2. **Prefix Matching Only for Environment Messages** - -When they DO use prefix matching, it's for: -- User messages (environment observations) -- Tool responses -- NOT for assistant messages - -### 3. **Minimal Tokenization Calls** - -| Library | Calls per Turn | -|---------|---------------| -| TRL (vLLM) | 1 | -| VERL (with skip_tokenizer_init) | 0-1 | -| Prime-RL/Verifiers | 2 (user/tool only) | -| NeMo-RL | 0 (pre-tokenized) | -| Tinker | 1 | -| **Our implementation** | **3+** | - -### 4. **Validation/Assertions** - -Several libraries validate correctness: -- **VERL:** Optional sanity check comparing delta vs full tokenization -- **Prime-RL/Verifiers:** Assert prefix property holds -- **NeMo-RL:** Assert tokens_left_for_obs >= 0 - ---- - -## Recommended Simplifications for Our Implementation - -### ⭐ Priority 1: Use Direct Token Extraction - -**Current (complex):** -```python -# test_simple_vllm.py:112-120 -messages.append({"role": "assistant", "content": response_text}) -full_conversation_with_assistant = tokenizer.apply_chat_template( - messages, add_generation_prompt=False, tokenize=True -) -assistant_tokens = full_conversation_with_assistant[len(all_tokens):] # Prefix match -``` - -**Recommended (simple):** -```python -# Use vLLM's token_ids directly (like ALL 6 libraries!) -sampling_params = SamplingParams( - logprobs=1, # Enable logprobs to get token_ids - prompt_logprobs=0, -) -output = llm.generate([prompt_text], sampling_params)[0].outputs[0] - -# Direct extraction - NO prefix matching needed! -assistant_content_tokens = output.token_ids # [3 tokens: "HIT"] - -# Get role header tokens via chat template on empty assistant message -role_header_tokens = tokenizer.apply_chat_template( - [{"role": "assistant", "content": ""}], - add_generation_prompt=False, - tokenize=True, -)[len(tokenizer.apply_chat_template([], add_generation_prompt=False, tokenize=True)):] - -assistant_tokens = role_header_tokens + assistant_content_tokens -``` - -**Even simpler - if vLLM supports it:** -```python -# Try using vLLM's extra_body like Prime-RL/Verifiers -sampling_params = SamplingParams( - logprobs=1, - extra_body={"return_tokens_as_token_ids": True} -) -``` - -### ⭐ Priority 2: Use BASE Anchor for Environment Observations - -**Current (re-tokenize everything):** -```python -# Multiple apply_chat_template calls -full_conversation = tokenizer.apply_chat_template(messages, ...) -new_prompt_tokens = full_conversation[len(all_tokens):] -``` - -**Recommended (VERL-style delta tokenization):** -```python -# Pre-compute BASE anchor once at initialization -BASE_CONVERSATION = [ - {"role": "system", "content": system_prompt}, - {"role": "user", "content": ""}, # Empty user message -] -base_tokens = tokenizer.apply_chat_template( - BASE_CONVERSATION, add_generation_prompt=False, tokenize=True -) -base_len = len(base_tokens) - -# For each new user message, tokenize delta -def get_user_message_tokens(content: str): - temp_messages = BASE_CONVERSATION.copy() - temp_messages[-1]["content"] = content - - full_tokens = tokenizer.apply_chat_template( - temp_messages, add_generation_prompt=False, tokenize=True - ) - - # Extract only the new tokens - return full_tokens[base_len:] -``` - -This reduces tokenization from **3 calls per turn** to **1 call per turn**. - -### ⭐ Priority 3: Add Token Merge Detection - -**From TRL's ORPO trainer:** -```python -def extract_assistant_tokens_with_merge_check(tokenizer, messages_before, messages_after): - full_tokenized = tokenizer.apply_chat_template( - messages_after, add_generation_prompt=False, tokenize=True - ) - prefix_len = len(tokenizer.apply_chat_template( - messages_before, add_generation_prompt=False, tokenize=True - )) - - # Check if last token merged - if full_tokenized[:prefix_len] != messages_before_tokens: - prefix_len -= 1 # Adjust for token merge! - - return full_tokenized[prefix_len:] -``` - -This handles edge cases with Llama-style tokenizers. - -### Priority 4: Store Responses in State - -**Current:** Reconstruct from text -**Recommended:** Store full response objects like Prime-RL - -```python -state = { - "messages": [...], - "responses": [], # Store vLLM response objects - "turn": 0, -} - -# During rollout -response = llm.generate([prompt])[0] -state["responses"].append(response) # Store the whole object - -# During data processing -for i, response in enumerate(state["responses"]): - assistant_tokens = response.outputs[0].token_ids # Direct access! -``` - -### Priority 5: Validation Layer - -**Add optional sanity check like VERL:** -```python -def validate_token_accumulation(messages, all_tokens, tokenizer): - """Optional validation - disable in production""" - ground_truth = tokenizer.apply_chat_template( - messages, add_generation_prompt=False, tokenize=True - ) - - if len(all_tokens) != len(ground_truth): - logger.warning( - f"Token mismatch: accumulated={len(all_tokens)}, " - f"ground_truth={len(ground_truth)}, diff={len(ground_truth)-len(all_tokens)}" - ) -``` - ---- - -## Simplified Implementation Proposal - -### New File: `apps/blackjack/token_utils.py` - -```python -"""Token utilities for efficient multi-turn accumulation.""" - -import torch -from transformers import PreTrainedTokenizer - -class TokenAccumulator: - """Efficient token accumulation for multi-turn rollouts.""" - - def __init__(self, tokenizer: PreTrainedTokenizer, system_prompt: str): - self.tokenizer = tokenizer - - # Pre-compute BASE anchor (VERL-style) - self.base_conversation = [ - {"role": "system", "content": system_prompt}, - {"role": "user", "content": ""}, # Empty placeholder - ] - self.base_tokens = tokenizer.apply_chat_template( - self.base_conversation, - add_generation_prompt=False, - tokenize=True, - ) - self.base_len = len(self.base_tokens) - - # Accumulators - self.all_tokens: list[int] = [] - self.response_mask: list[int] = [] - self.messages: list[dict] = [ - {"role": "system", "content": system_prompt} - ] - - def add_user_message(self, content: str) -> list[int]: - """Add user message and return its tokens (delta).""" - self.messages.append({"role": "user", "content": content}) - - # Tokenize using BASE anchor - temp_conv = self.base_conversation.copy() - temp_conv[-1]["content"] = content - - full_tokens = self.tokenizer.apply_chat_template( - temp_conv, - add_generation_prompt=False, - tokenize=True, - ) - - # Extract delta - user_tokens = full_tokens[self.base_len:] - - # Accumulate - self.all_tokens.extend(user_tokens) - self.response_mask.extend([0] * len(user_tokens)) - - return user_tokens - - def add_assistant_response( - self, - content: str, - token_ids: list[int], # Direct from vLLM! - is_truncated: bool = False - ): - """Add assistant response using direct token_ids.""" - self.messages.append({"role": "assistant", "content": content}) - - # Get role header tokens (once, could be cached) - role_header = self._get_assistant_role_header_tokens() - - # Combine: role_header + content_tokens - assistant_tokens = role_header + token_ids - - # Accumulate - mask_value = 0 if is_truncated else 1 - self.all_tokens.extend(assistant_tokens) - self.response_mask.extend([mask_value] * len(assistant_tokens)) - - def _get_assistant_role_header_tokens(self) -> list[int]: - """Get tokens for '<|im_start|>assistant\n' etc.""" - empty_assistant = self.tokenizer.apply_chat_template( - [{"role": "assistant", "content": ""}], - add_generation_prompt=False, - tokenize=True, - ) - - empty_base = self.tokenizer.apply_chat_template( - [], - add_generation_prompt=False, - tokenize=True, - ) - - return empty_assistant[len(empty_base):] - - def validate(self, strict: bool = False): - """Validate accumulated tokens match ground truth.""" - ground_truth = self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=False, - tokenize=True, - ) - - if len(self.all_tokens) != len(ground_truth): - msg = ( - f"Token mismatch: accumulated={len(self.all_tokens)}, " - f"ground_truth={len(ground_truth)}" - ) - if strict: - raise ValueError(msg) - else: - print(f"⚠️ {msg}") - else: - print(f"✅ Token validation passed: {len(self.all_tokens)} tokens") -``` - -### Usage in Rollout - -```python -# apps/blackjack/rollouts.py (simplified) - -async def do_single_rollout(...): - accumulator = TokenAccumulator(tokenizer, system_prompt) - - # Initial user message - initial_obs = env.reset() - accumulator.add_user_message(initial_obs) - - for turn in range(max_turns): - # Generate - prompt_text = tokenizer.apply_chat_template( - accumulator.messages, - add_generation_prompt=True, - tokenize=False, - ) - - response = await policy.generate([prompt_text])[0] - - # Add assistant response (DIRECT token_ids, no prefix matching!) - accumulator.add_assistant_response( - content=response.text, - token_ids=response.outputs[0].token_ids, # DIRECT! - is_truncated=(response.outputs[0].finish_reason == "length") - ) - - if response.outputs[0].finish_reason == "length": - break - - # Step env - result = env.step(response.text) - if result.done: - break - - # Add env observation - accumulator.add_user_message(result.observation) - - # Validate (optional, disable in production) - accumulator.validate(strict=False) - - return Episode( - all_token_ids=torch.tensor(accumulator.all_tokens), - response_mask=torch.tensor(accumulator.response_mask), - message_log=accumulator.messages, - ... - ) -``` - ---- - -## Performance Comparison - -| Metric | Current (v5) | Proposed (v7) | Improvement | -|--------|-------------|---------------|-------------| -| **apply_chat_template calls/turn** | 6 | 1-2 | **3-6x fewer** | -| **Prefix matching operations** | Every turn (assistant) | Only for validation | **~3x fewer** | -| **Token re-computation** | Full conversation each turn | Delta only | **~N x fewer** (N=turns) | -| **Code complexity** | High (multiple template calls) | Low (direct token_ids) | **Simpler** | -| **Matches ground truth** | Yes (tested) | Yes (with validation) | **Same correctness** | - ---- - -## Migration Path - -### Phase 1: Add Direct Token Extraction (Low Risk) -1. Enable logprobs in sampling_params -2. Use `response.outputs[0].token_ids` for assistant content -3. Add role header tokens separately -4. Keep validation against old approach - -### Phase 2: Add BASE Anchor for User Messages (Medium Risk) -1. Implement `TokenAccumulator` class -2. Use delta tokenization for user messages -3. Compare against full retokenization - -### Phase 3: Remove Prefix Matching (High Confidence) -1. Once phases 1-2 are validated, remove old prefix matching code -2. Simplify test suite -3. Add VERL-style sanity check as optional validation - ---- - -## Conclusion - -**The current implementation is correct but over-complicated.** - -Industry best practices from 6 major RL libraries show: - -1. ✅ **Use direct token_ids from generation engine** (everyone does this) -2. ✅ **Use prefix matching ONLY for environment observations** (not assistant) -3. ✅ **Pre-compute BASE anchors** to minimize tokenization calls (VERL innovation) -4. ✅ **Store response objects** to avoid reconstruction (NeMo-RL pattern) -5. ✅ **Add validation layers** for debugging (VERL, Prime-RL patterns) - -**Recommended action:** Implement `TokenAccumulator` class with direct token extraction to reduce from **6 tokenization calls per turn to 1-2**. - ---- - -## References - -### Code Paths by Library - -**TRL:** -- Prefix matching: `/home/felipemello/forge/trl/trl/trainer/orpo_trainer.py:381-421` -- Direct extraction: `/home/felipemello/forge/trl/trl/trainer/grpo_trainer.py:1274-1275` -- Multi-turn: `/home/felipemello/forge/trl/examples/scripts/openenv/wordle.py:342-387` - -**VERL:** -- BASE anchor: `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py:31-34, 204-221` -- Delta tokenization: `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py:379-412` -- Direct extraction: `/home/felipemello/forge/verl/verl/workers/rollout/sglang_rollout/sglang_rollout.py:910-915` -- Validation: `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py:566-641` - -**Prime-RL/Verifiers:** -- Direct extraction: `/home/felipemello/forge/verifiers/verifiers/orchestrator/patches.py:131-145` -- Prefix matching: `/home/felipemello/forge/verifiers/verifiers/utils/processing_utils.py:130-145` -- Config: `/home/felipemello/forge/verifiers/verifiers/rl/trainer/config.py:322` - -**NeMo-RL:** -- Pre-tokenization: `/home/felipemello/forge/RL/nemo_rl/experience/rollouts.py:85-110` -- Length slicing: `/home/felipemello/forge/RL/nemo_rl/experience/rollouts.py:388-394` -- Incremental: `/home/felipemello/forge/RL/nemo_rl/data/llm_message_utils.py:541-552` - -**Tinker:** -- Renderer: `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/renderers.py:189-202` -- Direct extraction: `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/completers.py:58-74` -- Data processing: `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/rl/data_processing.py:147-168` - ---- - -**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation_v7_simplified_implementation.md b/brainstorming_forge_tau/changes/3_truncation_v7_simplified_implementation.md deleted file mode 100644 index 5e10459e6..000000000 --- a/brainstorming_forge_tau/changes/3_truncation_v7_simplified_implementation.md +++ /dev/null @@ -1,818 +0,0 @@ -# Truncation V7: Simplified Implementation (Based on test_simple_vllm.py Requirements) - -**Date:** 2025-01-16 -**Based on:** Exact requirements from `/home/felipemello/forge/test_simple_vllm.py` -**Research:** Library comparison from v7 (6 major RL codebases) -**Implementation:** `/home/felipemello/forge/test_simple_vllm_v2.py` ✅ ALL 5 TESTS PASS - -**Status:** Partial simplification achieved. Direct token extraction proved more complex than expected. - ---- - -## Implementation Results Summary - -### ✅ What We Achieved - -**File:** `/home/felipemello/forge/test_simple_vllm_v2.py` -**Test Results:** ALL 5 TESTS PASS ✅ - -| Improvement | Status | Impact | -|-------------|--------|--------| -| **TokenAccumulator class** | ✅ Implemented | Better code organization, reusable | -| **Immediate env obs accumulation** | ✅ Implemented | Simpler flow (no dangling messages) | -| **Cached gen_prompt_len** | ✅ Implemented | Small optimization | -| **Optional validation** | ✅ Implemented | Can disable in production | -| **Direct token extraction** | ❌ Not achieved | Harder than expected (see below) | - -### ⚠️ Why Direct Token Extraction Failed - -**Original plan:** Use `output.token_ids` directly from vLLM (no prefix matching). - -**Reality discovered:** -- `output.token_ids` contains **content tokens only** (e.g., `[3]` for "HIT") -- Chat templates add **role headers**: `<|im_start|>assistant\n` + content + `<|im_end|>\n` -- These role header tokens are **template-specific** and not returned by vLLM -- Computing role headers requires understanding each template's format - -**Attempt:** -```python -def get_role_header_tokens(tokenizer, role: str) -> list[int]: - # Failed: Cannot call apply_chat_template([]) - # Unclear how to isolate just the role header portion -``` - -**Libraries that DO use direct extraction:** -- **Prime-RL/Verifiers:** Use vLLM's `return_tokens_as_token_ids=True` flag -- **NeMo-RL:** Use length-based slicing with vLLM's reported lengths -- **VERL:** Use BASE anchor + delta computation (complex) - -**Conclusion:** Direct extraction requires deeper vLLM integration or template-specific logic. - -### ✅ What We Still Use (Proven Correct) - -**Prefix matching** for both assistant and user messages: -```python -# Add message to messages list -self.messages.append({"role": "assistant", "content": response_text}) - -# Tokenize full conversation -full_conversation = tokenizer.apply_chat_template( - self.messages, add_generation_prompt=False, tokenize=True -) - -# Extract delta -new_tokens = full_conversation[len(self.all_tokens):] -``` - -This approach: -- ✅ Works reliably across all chat templates -- ✅ Includes role headers automatically -- ✅ Validated by test suite (all 5 tests pass) -- ✅ Used by TRL, Verifiers, and others - -### 📊 Comparison: v1 vs v2 - -| Metric | v1 (test_simple_vllm.py) | v2 (test_simple_vllm_v2.py) | Improvement | -|--------|--------------------------|----------------------------|-------------| -| **Code organization** | Inline logic | `TokenAccumulator` class | ✅ Much cleaner | -| **Env obs accumulation** | Start of next turn | Immediately | ✅ Simpler | -| **Gen prompt len** | Calculated each turn | Cached | ✅ Faster | -| **Validation** | Every turn (mandatory) | Optional flag | ✅ Flexible | -| **Token extraction** | Prefix matching | Prefix matching | Same | -| **Lines of code per test** | ~150 lines | ~100 lines (with class) | ✅ More compact | - -### 🎯 Actual Simplifications Achieved - -1. **Better Code Structure** - TokenAccumulator encapsulates all logic -2. **Immediate Accumulation** - Clearer flow, no "start of next turn" confusion -3. **Cached Values** - gen_prompt_len computed once -4. **Cleaner Tests** - Less repetitive code - -**Net result:** Code is more maintainable, but NOT fewer tokenization calls (still uses prefix matching). - ---- - -## Exact Requirements from test_simple_vllm.py - -The test shows the following **precise flow** for multi-turn token accumulation: - -### Per-Turn Flow (13 Steps) - -**START OF TURN:** -1. **Extract new prompt tokens** (delta) - - Tokenize `messages` WITHOUT gen prompt - - Extract: `new_prompt_tokens = full_conversation[len(all_tokens):]` - - Add to `all_tokens` with `mask=0` - -2. **Check budget** - - Tokenize `messages` WITH gen prompt - - Calculate: `remaining = max_seq_len - len(prompt_with_gen)` - - If `remaining <= 0`: break (early exit) - -3. **Generate** - - Create prompt text (tokenize=False, for display) - - Set `max_tokens = min(remaining, default_max_tokens)` - - Generate with vLLM - - Get `response_text` and `response_tokens` (content only, no role headers) - -**AFTER GENERATION:** -4. **Add assistant message to messages** - - `messages.append({"role": "assistant", "content": response_text})` - -5. **Extract assistant tokens** (delta, with role headers) - - Tokenize `messages` (now includes assistant) WITHOUT gen prompt - - Extract: `assistant_tokens = full_conversation_with_assistant[len(all_tokens):]` - - This includes role headers: `<|im_start|>assistant\n` + content + `<|im_end|>\n` - -6. **Check truncation** - - If `response_tokens[-1] != eos_token_id`: truncated - - Set `mask_value = 0` if truncated, else `1` - -7. **Add assistant tokens to all_tokens** - - `all_tokens.extend(assistant_tokens)` - - `response_mask.extend([mask_value] * len(assistant_tokens))` - -8. **Validate** (optional, debug only) - - Compare `all_tokens` vs ground truth tokenization - -**CHECK EARLY EXIT:** -9. **If generation truncated**: break - -10. **If game done**: break - -**ENV OBSERVATION:** -11. **Add env observation to messages** - - `messages.append({"role": "user", "content": env_obs})` - -12. **Check if env obs exceeds budget** - - Tokenize `messages` WITH gen prompt (includes new env obs) - - If `len(temp_conversation) > max_seq_len`: - - `messages.pop()` (remove the env obs we just added) - - Break loop - -13. **Loop** back to step 1 - ---- - -## Key Insights - -### 1. Two Accumulation Points Per Turn - -**This is critical and often missed!** - -Each turn accumulates tokens **TWICE**: -- **Start of turn (step 1):** Accumulate NEW PROMPT TOKENS (the env observation from previous turn) -- **After generation (step 7):** Accumulate ASSISTANT TOKENS (with role headers) - -```python -# Visualization of token accumulation -Turn 1 start: [system, user1] # NEW: user1 tokens -Turn 1 gen: [system, user1, assistant1] # NEW: assistant1 tokens -Turn 2 start: [system, user1, assistant1, user2] # NEW: user2 tokens -Turn 2 gen: [system, user1, assistant1, user2, assistant2] # NEW: assistant2 tokens -``` - -### 2. Three Tokenization Calls Per Turn (Current Approach) - -Looking at the test, each turn does: -1. **Tokenize to extract new prompt tokens** (line 49, tokenize=True) -2. **Tokenize to check budget** (line 67, tokenize=True) -3. **Tokenize to extract assistant tokens** (line 113, tokenize=True) -4. **Tokenize to check env obs budget** (line 189, tokenize=True) -5. **Tokenize for validation** (line 146, tokenize=True) - OPTIONAL - -**Total: 4 required calls, 1 optional = 3-5 per turn** - -*(Not counting the tokenize=False call at line 86 which is just for string formatting)* - -### 3. Prefix Matching is Used Twice - -- **For prompt tokens:** Extract delta at start of turn (step 1) -- **For assistant tokens:** Extract delta after generation (step 5) - -Both use the same pattern: `delta = full_conversation[len(all_tokens):]` - -### 4. Budget Check is Required Before Generation - -You CANNOT skip the budget check (step 2) - it's required to: -- Know if we can generate at all (`remaining <= 0` → early exit) -- Set `max_tokens` appropriately for vLLM - ---- - -## Current Implementation Tokenization Count - -From test_simple_vllm.py, here are the actual `apply_chat_template` calls: - -| Step | Line | Call | Purpose | Required? | -|------|------|------|---------|-----------| -| 1 | 49-54 | `apply_chat_template(messages, add_generation_prompt=False, tokenize=True)` | Extract new prompt tokens | ✅ YES | -| 2 | 67-72 | `apply_chat_template(messages, add_generation_prompt=True, tokenize=True)` | Check budget | ✅ YES | -| 3 | 86-91 | `apply_chat_template(messages, add_generation_prompt=True, tokenize=False)` | Format prompt text | ⚠️ NO (vLLM can do this) | -| 4 | 113-118 | `apply_chat_template(messages, add_generation_prompt=False, tokenize=True)` | Extract assistant tokens | ✅ YES (with current approach) | -| 5 | 146-151 | `apply_chat_template(messages, add_generation_prompt=False, tokenize=True)` | Validation | ⚠️ NO (debug only) | -| 6 | 189-194 | `apply_chat_template(messages, add_generation_prompt=True, tokenize=True)` | Check env obs budget | ✅ YES | - -**Total required: 4 tokenization calls per turn** - ---- - -## Proposed Simplifications (Based on Library Research) - -From the library comparison (v7), we identified these optimizations: - -### ⭐ Optimization 1: Use Direct Token IDs from vLLM - -**Current (steps 4-5):** -```python -messages.append({"role": "assistant", "content": response_text}) - -# Extract assistant tokens via prefix matching -full_conversation_with_assistant = tokenizer.apply_chat_template( - messages, add_generation_prompt=False, tokenize=True -) -assistant_tokens = full_conversation_with_assistant[len(all_tokens):] -``` - -**Simplified (all 6 libraries do this):** -```python -# Get assistant tokens directly from vLLM response -assistant_content_tokens = output.token_ids # Direct from vLLM! - -# Get role header tokens (computed once, can be cached) -role_header_tokens = get_role_header_tokens(tokenizer, "assistant") - -# Combine -assistant_tokens = role_header_tokens + assistant_content_tokens - -# Add to messages (for next turn's prompt) -messages.append({"role": "assistant", "content": response_text}) -``` - -This **eliminates 1 tokenization call** (step 4). - -**Helper function (cached):** -```python -@lru_cache(maxsize=2) -def get_role_header_tokens(tokenizer, role: str) -> list[int]: - """Get tokens for '<|im_start|>assistant\n' etc.""" - empty_msg = tokenizer.apply_chat_template( - [{role: role, "content": ""}], - add_generation_prompt=False, - tokenize=True, - ) - base = tokenizer.apply_chat_template( - [], - add_generation_prompt=False, - tokenize=True, - ) - return empty_msg[len(base):] -``` - -### ⭐ Optimization 2: Use BASE Anchor for Prompt Tokens (VERL Pattern) - -**Current (step 1):** -```python -# Tokenize entire conversation every turn -full_conversation = tokenizer.apply_chat_template( - messages, # Could be 10+ messages! - add_generation_prompt=False, - tokenize=True, -) -new_prompt_tokens = full_conversation[len(all_tokens):] -``` - -**Simplified (VERL pattern):** -```python -# Pre-compute BASE anchor once at initialization -BASE_CONVERSATION = [ - {"role": "system", "content": system_prompt}, - {"role": "user", "content": ""}, # Empty placeholder -] -base_tokens = tokenizer.apply_chat_template(BASE_CONVERSATION, ...) -base_len = len(base_tokens) - -# For each new user message, tokenize ONLY the delta -def get_user_message_tokens(content: str) -> list[int]: - temp = BASE_CONVERSATION.copy() - temp[-1]["content"] = content - - full = tokenizer.apply_chat_template(temp, add_generation_prompt=False, tokenize=True) - return full[base_len:] # Extract only the new tokens! -``` - -This is **more efficient** for long conversations (tokenize 2 messages instead of N messages). - -**Caveat:** Works best for simple user messages. For complex multi-message scenarios (tool calls, etc.), fall back to full tokenization. - -### ⭐ Optimization 3: Smarter Budget Check for Env Obs - -**Current (step 12):** -```python -# Add env obs to messages -messages.append({"role": "user", "content": env_obs}) - -# Tokenize ENTIRE conversation again -temp_conversation = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=True, -) - -if len(temp_conversation) > max_seq_len: - messages.pop() - break -``` - -**Simplified:** -```python -# Get env obs tokens -env_obs_tokens = get_user_message_tokens(env_obs) # Using BASE anchor - -# Calculate: current + env_obs + gen_prompt -gen_prompt_len = get_generation_prompt_len(tokenizer) # Cached -would_be = len(all_tokens) + len(env_obs_tokens) + gen_prompt_len - -if would_be > max_seq_len: - # Don't even add to messages - break -else: - # Add to both messages and all_tokens - messages.append({"role": "user", "content": env_obs}) - all_tokens.extend(env_obs_tokens) - response_mask.extend([0] * len(env_obs_tokens)) -``` - -**Problem:** This approach accumulates env obs tokens at the END of the turn, but the test accumulates them at the START of the next turn. - -**Solution:** Keep the test's approach (accumulate at start of next turn) OR switch to immediate accumulation (simpler but different ordering). - -### Trade-off: When to Accumulate Env Obs Tokens? - -**Option A: Accumulate at START of next turn (current test approach)** -- ✅ Pro: Matches test exactly -- ❌ Con: Need to tokenize at start of turn - -**Option B: Accumulate IMMEDIATELY after env.step()** -- ✅ Pro: Simpler flow, no "dangling" messages -- ✅ Pro: Can skip tokenization at start of turn -- ❌ Con: Different from test (but equivalent) - -**Recommendation:** Use Option B (immediate accumulation) as it's cleaner and matches how most libraries do it (TRL, NeMo-RL, etc.). - ---- - -## Simplified Implementation - -### Updated Flow (12 Steps, Immediate Env Obs Accumulation) - -**START OF TURN:** -1. **Check budget** - - Count tokens in `all_tokens` + gen_prompt_len - - Calculate: `remaining = max_seq_len - (len(all_tokens) + gen_prompt_len)` - - If `remaining <= 0`: break - -2. **Generate** - - Format prompt from `messages` (can use cached template) - - Set `max_tokens = min(remaining, default_max_tokens)` - - Generate with vLLM - -**AFTER GENERATION:** -3. **Get assistant tokens directly** - - `assistant_content_tokens = output.token_ids` (from vLLM) - - `role_header_tokens = get_role_header_tokens(tokenizer, "assistant")` (cached) - - `assistant_tokens = role_header_tokens + assistant_content_tokens` - -4. **Check truncation** - - If `output.token_ids[-1] != eos_token_id`: truncated - - Set `mask_value = 0` if truncated, else `1` - -5. **Add assistant tokens** - - `all_tokens.extend(assistant_tokens)` - - `response_mask.extend([mask_value] * len(assistant_tokens))` - - `messages.append({"role": "assistant", "content": output.text})` - -6. **Validate** (optional) - -**CHECK EARLY EXIT:** -7. **If generation truncated**: break - -8. **If game done**: break - -**ENV OBSERVATION (IMMEDIATE ACCUMULATION):** -9. **Get env observation** - - `env_result = env.step(action)` - - `env_obs = env_result.observation` - -10. **Get env obs tokens** - - Option A (simple): `env_obs_tokens = tokenizer.encode(env_obs, add_special_tokens=False)` - - Option B (BASE anchor): `env_obs_tokens = get_user_message_tokens(env_obs)` - -11. **Check if adding env obs would exceed budget** - - Calculate: `would_be = len(all_tokens) + len(env_obs_tokens) + gen_prompt_len` - - If `would_be > max_seq_len`: break (truncated) - -12. **Add env obs tokens IMMEDIATELY** - - `messages.append({"role": "user", "content": env_obs})` - - `all_tokens.extend(env_obs_tokens)` ← IMMEDIATE! - - `response_mask.extend([0] * len(env_obs_tokens))` - -13. **Loop** back to step 1 - ---- - -## Tokenization Call Comparison - -| Step | Current Test (v6) | Simplified (v7) | Savings | -|------|-------------------|-----------------|---------| -| **Start of turn** | Extract new prompt tokens (tokenize=True) | ❌ Skipped (accumulated immediately last turn) | -1 call | -| **Budget check** | Tokenize with gen prompt (tokenize=True) | ✅ Use `len(all_tokens) + gen_prompt_len` | -1 call (cached gen_prompt_len) | -| **Format prompt** | Tokenize=False for string | ✅ Same | 0 | -| **Extract assistant** | Prefix matching (tokenize=True) | ❌ Use `output.token_ids` + cached role headers | -1 call | -| **Env obs** | Tokenize to check budget (tokenize=True) | ✅ Use BASE anchor or simple encode | Same (but faster) | -| **Validation** | Full tokenization (tokenize=True) | ⚠️ Optional | 0 (optional) | - -**Total: 4 calls → 1-2 calls per turn (depending on BASE anchor usage)** - ---- - -## Complete Simplified Code (IMPLEMENTED & TESTED) - -### File: `test_simple_vllm_v2.py` - TokenAccumulator Class - -**Key changes from v1:** -1. ✅ Uses `TokenAccumulator` class (better organization) -2. ✅ Immediate env obs accumulation (simpler flow) -3. ✅ Cached gen_prompt_len (optimization) -4. ✅ Optional validation flag -5. ⚠️ Still uses prefix matching (proven correct, not "direct") - -```python -@lru_cache(maxsize=1) -def get_generation_prompt_len(tokenizer) -> int: - """Get length of generation prompt (e.g., '<|im_start|>assistant\n').""" - messages = [{"role": "user", "content": "x"}] - without_gen = tokenizer.apply_chat_template( - messages, add_generation_prompt=False, tokenize=True - ) - with_gen = tokenizer.apply_chat_template( - messages, add_generation_prompt=True, tokenize=True - ) - return len(with_gen) - len(without_gen) - - -class TokenAccumulator: - """ - Simplified token accumulator with hybrid approach. - - Uses prefix matching (proven correct) with better organization. - """ - - def __init__( - self, - tokenizer, - messages: list[dict], - max_seq_len: int, - eos_token_id: int, - validate: bool = True, - ): - self.tokenizer = tokenizer - self.max_seq_len = max_seq_len - self.eos_token_id = eos_token_id - self.validate_enabled = validate - - # Message log (for prompt construction) - self.messages = messages.copy() - - # Token accumulators - self.all_tokens: list[int] = [] - self.response_mask: list[int] = [] - - # Cached values - self.gen_prompt_len = get_generation_prompt_len(tokenizer) - - # Truncation tracking - self.is_truncated = False - self.truncation_reason: str | None = None - - # Initialize with initial messages - if len(messages) > 0: - initial_tokens = tokenizer.apply_chat_template( - messages, add_generation_prompt=False, tokenize=True - ) - self.all_tokens.extend(initial_tokens) - self.response_mask.extend([0] * len(initial_tokens)) - - def get_remaining_budget(self) -> int: - """Calculate remaining tokens before hitting max_seq_len.""" - current_with_gen_prompt = len(self.all_tokens) + self.gen_prompt_len - return self.max_seq_len - current_with_gen_prompt - - def format_prompt(self) -> str: - """Format prompt for generation (no tokenization, just string).""" - return self.tokenizer.apply_chat_template( - self.messages, add_generation_prompt=True, tokenize=False - ) - - def add_assistant_response( - self, response_text: str, response_token_ids: list[int] - ) -> bool: - """ - Add assistant response using prefix matching. - - Args: - response_text: Response text from vLLM - response_token_ids: Content tokens (for truncation check only) - - Returns: - True if successful, False if truncated - """ - # Check truncation - is_truncated = ( - len(response_token_ids) > 0 and - response_token_ids[-1] != self.eos_token_id - ) - - # Add to messages FIRST - self.messages.append({"role": "assistant", "content": response_text}) - - # Use prefix matching to get assistant tokens WITH role headers - full_conversation = self.tokenizer.apply_chat_template( - self.messages, add_generation_prompt=False, tokenize=True - ) - assistant_tokens = full_conversation[len(self.all_tokens):] - - # Accumulate - mask_value = 0 if is_truncated else 1 - self.all_tokens.extend(assistant_tokens) - self.response_mask.extend([mask_value] * len(assistant_tokens)) - - # Track truncation - if is_truncated: - self.is_truncated = True - self.truncation_reason = "generation_length" - - # Validate if enabled - if self.validate_enabled: - self._validate() - - return not is_truncated - - def add_user_message(self, content: str, check_budget: bool = True) -> bool: - """ - Add user message (env observation) IMMEDIATELY using prefix matching. - - Args: - content: User message content - check_budget: If True, check if adding would exceed budget - - Returns: - True if successful, False if would exceed budget - """ - # Add to messages FIRST - self.messages.append({"role": "user", "content": content}) - - # Use prefix matching to get user message tokens - full_conversation = self.tokenizer.apply_chat_template( - self.messages, add_generation_prompt=False, tokenize=True - ) - user_message_tokens = full_conversation[len(self.all_tokens):] - - # Check budget if requested - if check_budget: - would_be = ( - len(self.all_tokens) + len(user_message_tokens) + self.gen_prompt_len - ) - if would_be > self.max_seq_len: - # Remove from messages and mark truncated - self.messages.pop() - self.is_truncated = True - self.truncation_reason = "env_observation_length" - return False - - # Accumulate - self.all_tokens.extend(user_message_tokens) - self.response_mask.extend([0] * len(user_message_tokens)) - - # Validate if enabled - if self.validate_enabled: - self._validate() - - return True - - def _validate(self): - """Optional validation: compare vs ground truth.""" - ground_truth = self.tokenizer.apply_chat_template( - self.messages, add_generation_prompt=False, tokenize=True - ) - if len(self.all_tokens) != len(ground_truth): - raise ValueError( - f"Token mismatch: {len(self.all_tokens)} vs {len(ground_truth)}" - ) -``` - -### Usage Example (Simplified Rollout) - -```python -async def do_single_rollout(env, policy, tokenizer, max_seq_len, max_turns, messages): - """Simplified rollout using TokenAccumulator.""" - - # Initialize accumulator - accumulator = TokenAccumulator( - tokenizer=tokenizer, - messages=messages, - max_seq_len=max_seq_len, - eos_token_id=tokenizer.eos_token_id, - validate=True, # Enable validation - ) - - # Add initial observation - initial_obs = env.reset() - accumulator.add_user_message(initial_obs, check_budget=False) - - for turn in range(max_turns): - # Check budget - remaining = accumulator.get_remaining_budget() - if remaining <= 0: - break - - # Generate - prompt = accumulator.format_prompt() - response = await policy.generate([prompt], max_tokens=remaining)[0] - - # Add assistant response - success = accumulator.add_assistant_response( - response_text=response.text, - response_token_ids=response.token_ids, - ) - - if not success: # Generation truncated - break - - # Step env - result = env.step(response.text) - if result.done: - break - - # Add env observation IMMEDIATELY - success = accumulator.add_user_message(result.observation, check_budget=True) - if not success: # Env obs truncated - break - - # Create Episode - return Episode( - all_token_ids=torch.tensor(accumulator.all_tokens), - response_mask=torch.tensor(accumulator.response_mask), - is_truncated=accumulator.is_truncated, - truncation_reason=accumulator.truncation_reason, - message_log=accumulator.messages, - ... - ) -``` - ---- - ---- - -## Future Work: True Direct Token Extraction - -For those wanting to eliminate prefix matching entirely, here are the approaches used by other libraries: - -### Approach 1: vLLM's `return_tokens_as_token_ids` Flag (Prime-RL/Verifiers) - -**File:** `/home/felipemello/forge/verifiers/verifiers/rl/trainer/config.py:322` - -```python -# In vLLM sampling config -sampling_args["extra_body"] = { - "return_tokens_as_token_ids": True, # Returns tokens as "token_id:" -} - -# Then parse them -def parse_chat_completion_tokens(chat_completion): - tokens = [ - int(token["token"].split(":")[-1]) - for token in chat_completion.choices[0].logprobs["content"] - ] - return tokens -``` - -**Status:** Needs investigation - this may return content tokens only, still requiring role header computation. - -### Approach 2: Length-Based Slicing (NeMo-RL) - -**File:** `/home/felipemello/forge/RL/nemo_rl/experience/rollouts.py:85-102` - -```python -# vLLM returns input_lengths and generation_lengths -input_len = input_lengths[i].item() -total_length = unpadded_sequence_lengths[i].item() - -# Slice generated tokens using lengths -generated_part = output_ids[i, input_len:total_length] - -# Store in message log with pre-tokenized tokens -assistant_message = { - "role": "assistant", - "content": text, - "token_ids": generated_part, # Store tokens in message! -} -``` - -**Key insight:** Pre-tokenize and store tokens in message dicts, then concatenate when needed. - -**Requires:** Modifying message log structure to include `token_ids` field. - -### Approach 3: BASE Anchor + Delta Computation (VERL) - -**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py:204-221, 379-412` - -```python -# Pre-compute BASE conversation -BASE_CONVERSATION = [ - {"role": "system", "content": "You are a helpful assistant."}, - {"role": "user", "content": ""}, # Empty placeholder -] -base_tokens = tokenizer.apply_chat_template(BASE_CONVERSATION, ...) -base_len = len(base_tokens) - -# For each message, tokenize with BASE -def add_user_message(content: str): - temp = [*BASE_CONVERSATION, {"role": "user", "content": content}] - full_tokens = tokenizer.apply_chat_template(temp, ...) - - # Extract only the new tokens - new_tokens = full_tokens[base_len:] - return new_tokens -``` - -**Benefit:** Avoids tokenizing full conversation each time. - -**Requires:** Understanding chat template behavior with BASE anchor (Qwen models modify content!). - -### Approach 4: Manual Role Header Computation (Template-Specific) - -```python -# For Qwen chat template specifically -def get_qwen_role_header_tokens(tokenizer, role: str) -> list[int]: - """Qwen format: <|im_start|>{role}\n""" - header_text = f"<|im_start|>{role}\n" - return tokenizer.encode(header_text, add_special_tokens=False) - -def get_qwen_role_footer_tokens(tokenizer) -> list[int]: - """Qwen format: <|im_end|>\n""" - footer_text = "<|im_end|>\n" - return tokenizer.encode(footer_text, add_special_tokens=False) - -# Then combine -assistant_tokens = ( - get_qwen_role_header_tokens(tokenizer, "assistant") + - response.token_ids + # From vLLM - get_qwen_role_footer_tokens(tokenizer) -) -``` - -**Problem:** This is template-specific and brittle. Won't work across different chat templates. - -### Recommendation - -**For production use:** -- ✅ Stick with prefix matching (proven correct, works universally) -- ✅ Use `TokenAccumulator` class from v2 (better organization) -- ✅ Enable validation in dev/staging, disable in production - -**For optimization (if needed):** -1. Profile first - is prefix matching actually a bottleneck? -2. If yes, try Approach 2 (length-based slicing like NeMo-RL) -3. If that fails, try Approach 3 (BASE anchor like VERL) -4. Last resort: Template-specific logic (Approach 4) - -**Don't optimize prematurely** - the current approach is correct and maintainable. - ---- - -## Summary - -**What we achieved in v7:** -1. ✅ `TokenAccumulator` class - better code organization -2. ✅ Immediate env obs accumulation - simpler flow -3. ✅ Cached gen_prompt_len - small optimization -4. ✅ Optional validation flag - flexible debugging -5. ✅ All 5 test cases pass - proven correctness - -**What we didn't achieve:** -- ❌ Direct token extraction from vLLM (harder than expected) -- ❌ Fewer tokenization calls (still uses prefix matching) - -**Recommendation:** -- Use `TokenAccumulator` from `test_simple_vllm_v2.py` for production -- It's cleaner, more maintainable, and provably correct -- Only optimize further if profiling shows tokenization is a bottleneck - -**Files:** -- Implementation: `/home/felipemello/forge/test_simple_vllm_v2.py` -- Library comparison: `/home/felipemello/forge/brainstorming_forge_tau/changes/3_truncation_v7_library_comparison.md` - ---- - -**End of Document** diff --git a/brainstorming_forge_tau/changes/3_truncation_v8_qwen_think_tags.md b/brainstorming_forge_tau/changes/3_truncation_v8_qwen_think_tags.md deleted file mode 100644 index aceb3fce0..000000000 --- a/brainstorming_forge_tau/changes/3_truncation_v8_qwen_think_tags.md +++ /dev/null @@ -1,1073 +0,0 @@ -# Truncation V8: Qwen Think Tags Deep Dive - -**Date:** 2025-01-17 -**Focus:** Debugging multi-turn token accumulation with Qwen's `` tags -**Status:** ⚠️ IN PROGRESS - Duplicate tags issue found - ---- - -## Executive Summary - -While investigating budget overflow issues in multi-turn RL rollouts, we discovered: - -1. ✅ **Budget calculation bug fixed:** Using `assistant_overhead` instead of `gen_prompt_len` -2. ❌ **Duplicate `` tags:** Qwen's chat template auto-wraps content, causing duplicates -3. 🔍 **Root cause:** BASE_CHAT_HISTORY anchor includes empty `` wrapper -4. 📚 **VERL comparison:** Industry uses direct token extraction, we use delta tokenization - ---- - -## Table of Contents - -1. [Initial Bug Discovery](#initial-bug-discovery) -2. [Budget Calculation Fix (v1)](#budget-calculation-fix-v1) -3. [VERL Investigation](#verl-investigation) -4. [Qwen's enable_thinking Parameter](#qwens-enable_thinking-parameter) -5. [Duplicate Think Tags Issue](#duplicate-think-tags-issue) -6. [Current Status](#current-status) - ---- - -## Initial Bug Discovery - -### Symptom - -``` -[do_single_rollout] Turn 1 - Remaining budget: 404 - Current tokens: 1641 - Max seq len: 2048 - Calling vLLM with max_tokens=404 - - vLLM returned 404 tokens -[TokenAccumulator.add_assistant_response] - vLLM content tokens: 404 - Assistant tokens (with headers): 413 - Role header overhead: 9 - After: all_tokens=2054, is_truncated=True - ❌ EXCEEDED max_seq_len by 6 tokens! -``` - -**Math:** -- We calculated: `remaining = 2048 - 1641 - 3 = 404` -- vLLM generated: 404 tokens -- Added to accumulator: 404 + 9 = 413 tokens -- Total: 1641 + 413 = 2054 > 2048 ❌ - -### Question Asked - -"Why does this work in `test_simple_vllm_v2.py` but not in `main_v2.py`?" - -**Answer:** Both were broken! The test used Llama-3.1-8B where the overhead happened to be 4 tokens for both `gen_prompt_len` and actual overhead. When we switched to Qwen3, the mismatch became visible. - ---- - -## Budget Calculation Fix (v1) - -### Root Cause - -The old `get_generation_prompt_len()` calculated **prompt-side overhead only**: - -```python -# OLD (WRONG) -def get_generation_prompt_len(tokenizer) -> int: - messages = [{"role": "user", "content": "x"}] - without_gen = tokenize(messages, add_generation_prompt=False) - # Result: [user_tokens] - - with_gen = tokenize(messages, add_generation_prompt=True) - # Result: [user_tokens, <|im_start|>assistant\n] - - return len(with_gen) - len(without_gen) # = 3 for Qwen -``` - -This only captures the **generation prompt** added before vLLM generates, not the full overhead when accumulating the response. - -### The Fix - -```python -# NEW (CORRECT v1) -def get_assistant_overhead(tokenizer) -> int: - """Get FULL overhead including role headers + EOS token.""" - base = [ - {"role": "system", "content": ""}, - {"role": "user", "content": ""}, - ] - base_tokens = tokenizer.apply_chat_template( - base, add_generation_prompt=False, tokenize=True - ) - - # Empty assistant response - with_assistant = base + [{"role": "assistant", "content": ""}] - full_tokens = tokenizer.apply_chat_template( - with_assistant, add_generation_prompt=False, tokenize=True - ) - - return len(full_tokens) - len(base_tokens) # = 9 for Qwen3 -``` - -**Comparison:** - -| Tokenizer | gen_prompt_len | assistant_overhead | Difference | -|-----------|----------------|-------------------|------------| -| Llama-3.1-8B | 4 | 4 | 0 (accidentally works!) | -| Qwen2.5-3B | 3 | 5 | 2 tokens | -| Qwen3-1.7B | 3 | 9 | 6 tokens | - -**Budget calculation:** -```python -# OLD (wrong) -remaining = max_seq_len - current_tokens - gen_prompt_len -# For Qwen3: 2048 - 1641 - 3 = 404 -# vLLM generates 404, adds 9 overhead → 1641 + 413 = 2054 > 2048 ❌ - -# NEW (correct) -remaining = max_seq_len - current_tokens - assistant_overhead -# For Qwen3: 2048 - 1641 - 9 = 398 -# vLLM generates 398, adds 9 overhead → 1641 + 407 = 2048 ✅ -``` - ---- - -## VERL Investigation - -### Why Look at VERL? - -After finding the duplicate `` tags, we questioned whether our **prefix matching approach** was fundamentally wrong. From the library comparison doc: - -> **🔑 CRITICAL INSIGHT: Most libraries use `response.token_ids` DIRECTLY from vLLM, NOT prefix matching!** - -This led us to investigate how VERL handles Qwen without bugs. - -### VERL's Architecture - -**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` - -```python -# Lines 31-34: BASE conversation anchor -BASE_CHAT_HISTORY = [ - {"role": "system", "content": "You are a helpful assistant."}, - {"role": "user", "content": "I am a user."} -] - -# Lines 204-221: Pre-compute offsets at initialization -base_conv_wo_gen_prompt_end_pos = len(tokenizer.apply_chat_template( - BASE_CHAT_HISTORY, - add_generation_prompt=False, - tokenize=True -)) - -base_conv_with_gen_prompt_end_pos = len(tokenizer.apply_chat_template( - BASE_CHAT_HISTORY + [{"role": "assistant", "content": ""}], - add_generation_prompt=False, - tokenize=True -)) -``` - -### VERL's Token Flow (with `skip_tokenizer_init=True`) - -**Step 1: Add user message (delta tokenization)** -```python -# Lines 379-393 -def add_user_message(self, processing_class, content: str): - self.messages.append(Message(role="user", content=content)) - - # Tokenize ONLY the new message using BASE anchor - messages = [*BASE_CHAT_HISTORY, self.messages[-1]] - content_ids = self._handle_apply_chat_template( - processing_class, - messages, - add_generation_prompt=False, - tokenize=True - )[..., self.base_conv_wo_gen_prompt_end_pos:] # Slice from pre-computed offset! - - self._update_input_ids(processing_class, content_ids, loss_mask=False) -``` - -**Step 2: Generate** -```python -# Lines 1053-1075: Generate with engine -generation_prompt_ids = _req.get_generation_prompt_ids(self.processing_class) -output = await self._engine.async_generate( - input_ids=generation_prompt_ids, - sampling_params=kwargs, - return_logprob=return_logprob, -) -``` - -**Step 3: Add assistant response (direct extraction)** -```python -# Lines 910-918 -if self.config.skip_tokenizer_init: - content_ids = output["output_ids"] # DIRECT from engine! - content = self.processing_class.decode(content_ids, skip_special_tokens=True) -else: - content_ids = None # Will use delta tokenization fallback - content = output["text"] - -# Lines 395-412 -def add_assistant_message(self, processing_class, content: str, content_ids: Optional[torch.Tensor] = None): - self.messages.append(Message(role="assistant", content=content, ...)) - - if content_ids is None: # Fallback if engine doesn't provide token IDs - messages = [*BASE_CHAT_HISTORY, self.messages[-1]] - content_ids = self._handle_apply_chat_template( - processing_class, - messages, - add_generation_prompt=False, - tokenize=True - )[..., self.base_conv_with_gen_prompt_end_pos:] # Slice from offset! - - self._update_input_ids(processing_class, content_ids, loss_mask=True) -``` - -### Key Difference: VERL vs Our Approach - -**VERL (Direct Token Extraction):** -```python -# 1. Generate -gen_prompt = tokenize(messages, add_generation_prompt=True) -# = [...system..., ...user..., <|im_start|>assistant\n] - -output = engine.generate(gen_prompt) -# output["output_ids"] = [content_tokens..., <|im_end|>] - -# 2. Accumulate generation prompt tokens (role headers) -gen_prompt_tokens = gen_prompt[base_with_gen_prompt_end_pos:] -input_ids.extend(gen_prompt_tokens) # loss_mask=False - -# 3. Accumulate output tokens -input_ids.extend(output["output_ids"]) # loss_mask=True - -# Final: [...system..., ...user..., <|im_start|>assistant\n, content..., <|im_end|>] -``` - -**Our Approach (Delta Tokenization):** -```python -# 1. Generate -prompt_text = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=False -) -response = vLLM.generate(prompt_text) -# response.text = "Okay..." - -# 2. Re-tokenize full assistant message -temp_messages = [*BASE_CHAT_HISTORY, {"role": "assistant", "content": response.text}] -full_tokens = tokenizer.apply_chat_template( - temp_messages, - add_generation_prompt=False, - tokenize=True -) - -# 3. Extract delta -assistant_delta = full_tokens[base_len_wo_gen:] -all_tokens.extend(assistant_delta) - -# Final: [...system..., ...user..., <|im_start|>assistant\n..., content..., <|im_end|>] -``` - -### Why VERL Works and We Don't (Initially) - -**VERL:** Splits response into: -- Generation prompt tokens (added before generation) -- Engine output tokens (added after generation) -- These are kept separate and never re-tokenized - -**Us:** Re-apply chat template to full response: -- This re-tokenizes the response through the template -- Template has special handling for `` tags -- If we use empty content for overhead calculation, template auto-adds wrappers - -### Concrete Example - -**User message:** "Hi" - -**VERL Flow:** -```python -# Generation prompt -gen_prompt = tokenize([system, user, "Hi"], add_gen_prompt=True) -# = [1,2,3, 100,101, 151644,77091,198] -# system "Hi" <|im_start|>assistant\n - -# Engine generates (continues from prompt) -output["output_ids"] = [9906, 151645] # "Hello<|im_end|>" - -# Accumulate -input_ids = [1,2,3, 100,101, 151644,77091,198, 9906,151645] -# system "Hi" role_header "Hello"<|im_end|> -``` - -**Our Flow:** -```python -# Generate -response.text = "Hello" - -# Re-tokenize [BASE + assistant] -messages = [BASE, {"role": "assistant", "content": "Hello"}] -full_tokens = tokenize(messages, add_gen_prompt=False) -# = [1,2,3, 151644,77091,198, 9906, 151645] -# system <|im_start|>assistant\n "Hello" <|im_end|> - -# Extract delta -assistant_delta = full_tokens[len(base):] -# = [151644,77091,198, 9906, 151645] - -# Accumulate -all_tokens.extend([100,101]) # "Hi" (added earlier) -all_tokens.extend(assistant_delta) -# Final: [1,2,3, 100,101, 151644,77091,198, 9906, 151645] -# system "Hi" role_header "Hello"<|im_end|> -``` - -**Both produce IDENTICAL results!** The difference is: -- VERL never re-tokenizes (more efficient) -- We re-tokenize (handles complex templates correctly) - -### Why Our Approach Is Actually Correct for Qwen - -From TEST CASE 7 output (lines 430-486 in out5.txt): - -``` -APPROACH 1: PREFIX MATCHING (OUR CURRENT IMPLEMENTATION) - Decoded: '<|im_start|>assistant - - - - - -Okay, let<|im_end|>' - -APPROACH 2: DIRECT EXTRACTION (TRL, VERL, PRIME-RL, etc.) - Decoded: '<|im_start|>assistant - - - - -<|im_end|> ← End token in the MIDDLE! - -Okay, let' -``` - -**Direct extraction produces INVALID output** for Qwen because the template has special `` tag handling. When we concatenate `role_header + content_tokens`, we bypass this handling. - -**Conclusion:** Our prefix matching approach is correct for Qwen. The issue is the overhead calculation, not the approach. - ---- - -## Qwen's enable_thinking Parameter - -### Discovery - -Qwen's tokenizer has an `enable_thinking` parameter that controls `` wrapper behavior: - -```bash -python3 -c " -from vllm.transformers_utils.tokenizer import get_tokenizer -tokenizer = get_tokenizer('Qwen/Qwen3-1.7B') - -base = [{'role': 'system', 'content': ''}, {'role': 'user', 'content': ''}] - -# Test 1: Generation prompt with enable_thinking=True -tokens_gen_on = tokenizer.apply_chat_template( - base, add_generation_prompt=True, enable_thinking=True, tokenize=True -) -print('Gen prompt (thinking=True):', tokenizer.decode(tokens_gen_on)) - -# Test 2: Generation prompt with enable_thinking=False -tokens_gen_off = tokenizer.apply_chat_template( - base, add_generation_prompt=True, enable_thinking=False, tokenize=True -) -print('Gen prompt (thinking=False):', tokenizer.decode(tokens_gen_off)) - -# Test 3: Accumulation with empty content (thinking=True) -msgs = base + [{'role': 'assistant', 'content': ''}] -tokens_empty_on = tokenizer.apply_chat_template( - msgs, add_generation_prompt=False, enable_thinking=True, tokenize=True -) -print('Empty assistant (thinking=True):', tokenizer.decode(tokens_empty_on)) - -# Test 4: Accumulation with empty content (thinking=False) -tokens_empty_off = tokenizer.apply_chat_template( - msgs, add_generation_prompt=False, enable_thinking=False, tokenize=True -) -print('Empty assistant (thinking=False):', tokenizer.decode(tokens_empty_off)) -" -``` - -**Output:** -``` -1. Empty assistant (enable_thinking=True): - '<|im_start|>system\n<|im_end|>\n<|im_start|>user\n<|im_end|>\n<|im_start|>assistant\n\n\n\n\n<|im_end|>\n' - -2. Empty assistant (enable_thinking=False): - '<|im_start|>system\n<|im_end|>\n<|im_start|>user\n<|im_end|>\n<|im_start|>assistant\n\n\n\n\n<|im_end|>\n' - -3. Assistant with content "Hello" (enable_thinking=True): - '<|im_start|>assistant\n\n\n\n\nHello<|im_end|>\n' - -4. Generation prompt (enable_thinking=True): - '<|im_start|>assistant\n' - -5. Generation prompt (enable_thinking=False): - '<|im_start|>assistant\n\n\n\n\n' -``` - -### Key Findings - -1. **For accumulation (`add_generation_prompt=False`):** Both `enable_thinking=True/False` produce **identical output** with empty content - both auto-add `\n\n\n\n` wrapper! - -2. **For generation prompt (`add_generation_prompt=True`):** - - `enable_thinking=True`: No wrapper (just `<|im_start|>assistant\n`) - - `enable_thinking=False`: Adds wrapper - -3. **Content preservation:** When content already has `` tags, both settings preserve them correctly: - -```bash -python3 -c " -from vllm.transformers_utils.tokenizer import get_tokenizer -tokenizer = get_tokenizer('Qwen/Qwen3-1.7B') - -base = [{'role': 'system', 'content': ''}, {'role': 'user', 'content': ''}] -msgs = base + [{'role': 'assistant', 'content': '\nHello\n'}] - -tokens = tokenizer.apply_chat_template(msgs, add_generation_prompt=False, enable_thinking=True, tokenize=True) -print(tokenizer.decode(tokens)) -" -``` - -**Output:** -``` -'<|im_start|>system\n<|im_end|>\n<|im_start|>user\n<|im_end|>\n<|im_start|>assistant\n\nHello\n\n\n<|im_end|>\n' -``` - -✅ Preserves the `` tags correctly, no duplicates! - ---- - -## Duplicate Think Tags Issue - -### The Problem - -From `out5.txt` (lines 88-100): - -``` -<|im_start|>assistant - ← Empty wrapper (shouldn't be here!) - - - - ← Actual vLLM generation -Okay, let's see. The user has a hand of 15... -``` - -### Hypothesis 1: Overhead Calculation - -**Original approach (v1):** -```python -def get_assistant_overhead(tokenizer) -> int: - base = [{"role": "system", "content": ""}, {"role": "user", "content": ""}] - base_tokens = tokenizer.apply_chat_template(base, add_generation_prompt=False, tokenize=True) - - # Empty assistant response - with_assistant = base + [{"role": "assistant", "content": ""}] - full_tokens = tokenizer.apply_chat_template(with_assistant, add_generation_prompt=False, tokenize=True) - - return len(full_tokens) - len(base_tokens) # = 9 for Qwen3 -``` - -**Decoded:** -``` -'<|im_start|>assistant\n\n\n\n\n<|im_end|>\n' -``` - -The overhead (9 tokens) includes the auto-added `\n\n\n\n` wrapper! - -**Attempted fix (v2):** -```python -def get_assistant_overhead(tokenizer) -> int: - base = [{"role": "system", "content": ""}, {"role": "user", "content": ""}] - base_tokens = tokenizer.apply_chat_template(base, add_generation_prompt=False, tokenize=True) - - # Use content with think tags to avoid auto-wrapper - with_assistant = base + [{"role": "assistant", "content": "X"}] - full_tokens = tokenizer.apply_chat_template(with_assistant, add_generation_prompt=False, tokenize=True) - - # Subtract the content tokens - content_only = tokenizer.encode("X", add_special_tokens=False) - overhead = len(full_tokens) - len(base_tokens) - len(content_only) - - return overhead # = 8 for Qwen3 -``` - -**Test result:** -```bash -OLD overhead (empty content): 9 -NEW overhead (with think tags): 8 -Difference: 1 tokens -``` - -But from `out5.txt` line 410-411: -``` -Total tokens added (with headers): 161 -Role header overhead: 9 ← STILL 9 when accumulating! -``` - -**The issue:** `tokenizer.encode("X")` tokenizes differently than how it appears inside `apply_chat_template()`. Inside the template, it becomes `\nX\n\n\n` (with newlines). - -### Hypothesis 2: BASE_CHAT_HISTORY Anchor - -Looking at our BASE_CHAT_HISTORY setup: - -```python -# In __init__ -self.BASE_CHAT_HISTORY = [ - {"role": "system", "content": system_prompt}, - {"role": "user", "content": ""}, # Empty user message -] - -self.base_len_wo_gen = len(tokenizer.apply_chat_template( - self.BASE_CHAT_HISTORY, - add_generation_prompt=False, - tokenize=True, -)) -``` - -When we extract assistant delta: - -```python -temp_messages = [*self.BASE_CHAT_HISTORY, {"role": "assistant", "content": response_text}] -full_with_assistant = tokenizer.apply_chat_template( - temp_messages, - add_generation_prompt=False, - tokenize=True, -) -assistant_tokens = full_with_assistant[self.base_len_wo_gen:] -``` - -**The question:** Does `BASE_CHAT_HISTORY` include the empty `` wrapper when we tokenize it? - -**Test:** -```bash -python3 -c " -from vllm.transformers_utils.tokenizer import get_tokenizer -tokenizer = get_tokenizer('Qwen/Qwen3-1.7B') - -BASE = [{'role': 'system', 'content': ''}, {'role': 'user', 'content': ''}] -base_tokens = tokenizer.apply_chat_template(BASE, add_generation_prompt=False, tokenize=True) - -# With vLLM response -with_resp = BASE + [{'role': 'assistant', 'content': 'Hello'}] -full_tokens = tokenizer.apply_chat_template(with_resp, add_generation_prompt=False, tokenize=True) - -print(f'BASE length: {len(base_tokens)}') -print(f'BASE decoded: {repr(tokenizer.decode(base_tokens))}') -print(f'Full length: {len(full_tokens)}') -print(f'Full decoded: {repr(tokenizer.decode(full_tokens))}') -print(f'Delta: {full_tokens[len(base_tokens):]}') -print(f'Delta decoded: {repr(tokenizer.decode(full_tokens[len(base_tokens):]))}') -" -``` - -This will show us if the delta includes unwanted empty wrappers. - ---- - -## Current Status - -### What Works -- ✅ Test validation passes (all_tokens matches ground_truth) -- ✅ Budget calculation uses correct overhead value -- ✅ Token accumulation is accurate (no missing tokens) - -### What's Broken -- ❌ Duplicate `` tags in decoded output -- ❌ Empty `\n\n\n\n` wrapper appearing before actual content -- ❌ Budget still exceeds by 1 token in TEST CASE 6 - -### Evidence from out5.txt - -**Lines 88-100 (Duplicate tags):** -``` -<|im_start|>assistant - - - - - -Okay, let's see... -``` - -**Lines 410-421 (Budget overflow):** -``` -Assistant overhead: 8 -vLLM generated: 152 tokens -Total tokens added: 161 -Role header overhead: 9 ← Actual is 9, not 8! -❌ BUDGET EXCEEDED by 1 token -``` - -**Lines 514-525 (Multi-turn duplicates):** -``` -<|im_start|>assistant - -Okay, let<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - - -Okay, let<|im_end|> -``` - ---- - -## Next Debugging Steps - -1. ✅ Test if `BASE_CHAT_HISTORY` tokenization includes empty wrapper -2. ⚠️ Investigate where the empty `` comes from during delta extraction -3. ⚠️ Fix overhead calculation to return 9 instead of 8 -4. ⚠️ Decide: Keep prefix matching or switch to direct extraction? - ---- - -## Code Locations - -- Test file: `/home/felipemello/forge/test_simple_vllm_v2.py` -- Main training: `/home/felipemello/forge/apps/blackjack/main_v2.py` -- Config: `/home/felipemello/forge/apps/blackjack/qwen3_1_7b.yaml` -- Library comparison: `/home/felipemello/forge/brainstorming_forge_tau/changes/3_truncation_v7_library_comparison.md` -- VERL schemas: `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` -- VERL rollout: `/home/felipemello/forge/verl/verl/workers/rollout/sglang_rollout/sglang_rollout.py` - ---- - -## Key Learnings - -1. **Budget calculation:** Must account for FULL overhead (role headers + EOS), not just generation prompt -2. **Model-specific behavior:** Llama vs Qwen have different overhead values; tests must use production model -3. **Qwen's think tags:** Template auto-wraps empty content in ``, causing overhead calculation issues -4. **VERL's approach:** Direct token extraction avoids re-tokenization but requires careful role header handling -5. **Prefix matching trade-offs:** Handles complex templates correctly but requires precise overhead calculation -6. **Test robustness:** Using different models in test vs production masked the bug initially - ---- - -**STATUS:** Investigation ongoing - need to determine source of empty `` wrapper in delta extraction. - -**Symptom:** -``` -[do_single_rollout] Turn 1 - Remaining budget: 404 - vLLM returned 404 tokens - -[TokenAccumulator.add_assistant_response] - vLLM content tokens: 404 - Assistant tokens (with headers): 413 - Role header overhead: 9 - After: all_tokens=2054, is_truncated=True - ❌ EXCEEDED max_seq_len by 6 tokens! -``` - -**Root Cause:** - -The old `get_generation_prompt_len()` calculated: -```python -# Calculates prompt-side overhead only -messages = [{"role": "user", "content": "x"}] -without_gen = tokenize(messages, add_generation_prompt=False) # [tokens] -with_gen = tokenize(messages, add_generation_prompt=True) # [tokens, <|im_start|>assistant\n] -gen_prompt_len = len(with_gen) - len(without_gen) # = 3 for Qwen -``` - -This gives **only the prompt-side assistant header** (`<|im_start|>assistant\n`), but not the full overhead when accumulating responses. - -**The Fix (v1):** - -```python -def get_assistant_overhead(tokenizer) -> int: - """Get FULL overhead including role headers + EOS token.""" - base = [ - {"role": "system", "content": ""}, - {"role": "user", "content": ""}, - ] - base_tokens = tokenizer.apply_chat_template(base, add_generation_prompt=False, tokenize=True) - - # Empty assistant response - with_assistant = base + [{"role": "assistant", "content": ""}] - full_tokens = tokenizer.apply_chat_template(with_assistant, add_generation_prompt=False, tokenize=True) - - return len(full_tokens) - len(base_tokens) # = 9 for Qwen -``` - -**Budget calculation:** -```python -# OLD (wrong) -remaining = max_seq_len - current_tokens - gen_prompt_len # Uses 3 -# Result: 2048 - 1641 - 3 = 404 -# vLLM generates 404, adds 9 overhead → 1641 + 413 = 2054 > 2048 ❌ - -# NEW (correct) -remaining = max_seq_len - current_tokens - assistant_overhead # Uses 9 -# Result: 2048 - 1641 - 9 = 398 -# vLLM generates 398, adds 9 overhead → 1641 + 407 = 2048 ✅ -``` - ---- - -### Issue 2: Qwen's `enable_thinking` Parameter - -**Discovery:** - -Qwen's tokenizer has an `enable_thinking` parameter that controls `` wrapper behavior: - -```python -# Test with generation prompt (add_generation_prompt=True) -tokenize(messages, add_generation_prompt=True, enable_thinking=True) -# → '<|im_start|>assistant\n' (NO wrapper) - -tokenize(messages, add_generation_prompt=True, enable_thinking=False) -# → '<|im_start|>assistant\n\n\n\n\n' (ADDS wrapper) - -# Test with accumulation (add_generation_prompt=False, empty content) -tokenize([...assistant with ""], add_generation_prompt=False, enable_thinking=True) -# → '<|im_start|>assistant\n\n\n\n\n<|im_end|>\n' - -tokenize([...assistant with ""], add_generation_prompt=False, enable_thinking=False) -# → '<|im_start|>assistant\n\n\n\n\n<|im_end|>\n' (SAME!) -``` - -**Key Insight:** -- For `add_generation_prompt=False` (accumulation), both settings produce the same output with empty content -- The template auto-adds `` wrapper for empty assistant messages - -**With content that already has think tags:** -```python -tokenize([...assistant with "Hello"], add_generation_prompt=False, enable_thinking=True) -# → '<|im_start|>assistant\n\nHello\n\n\n<|im_end|>\n' (Preserves tags ✅) - -tokenize([...assistant with "Hello"], add_generation_prompt=False, enable_thinking=False) -# → '<|im_start|>assistant\n\nHello\n\n\n<|im_end|>\n' (Preserves tags ✅) -``` - ---- - -### Issue 3: Duplicate `` Tags (CURRENT ISSUE) - -**Symptom:** - -From test output (`out5.txt`): -``` -<|im_start|>assistant - ← Empty wrapper (shouldn't be here!) - - - - ← Actual vLLM generation -Okay, let's see... -``` - -**The Problem:** - -When computing overhead with **empty content**, the template adds `\n\n\n\n`: - -```python -# Old approach -with_assistant = base + [{"role": "assistant", "content": ""}] -full_tokens = tokenize(with_assistant, add_generation_prompt=False) -# Result: [..., <|im_start|>assistant\n\n\n\n\n<|im_end|>\n] -overhead = len(full_tokens) - len(base_tokens) # = 9 tokens -``` - -This overhead (9 tokens) includes the auto-added `\n\n\n\n` wrapper, which shouldn't be counted as overhead! - -**The Fix (v2 - attempted):** - -```python -def get_assistant_overhead(tokenizer) -> int: - """Compute overhead WITHOUT the think wrapper.""" - base = [...] - base_tokens = tokenizer.apply_chat_template(base, add_generation_prompt=False, tokenize=True) - - # Use content with think tags to avoid auto-wrapper - with_assistant = base + [{"role": "assistant", "content": "X"}] - full_tokens = tokenizer.apply_chat_template(with_assistant, add_generation_prompt=False, tokenize=True) - - # Subtract the content tokens - content_only = tokenizer.encode("X", add_special_tokens=False) - overhead = len(full_tokens) - len(base_tokens) - len(content_only) - - return overhead # = 8 tokens (was 9) -``` - -**Result:** -``` -OLD overhead (empty content): 9 -NEW overhead (with think tags): 8 -Difference: 1 token -``` - -But the decoded output still shows duplicates! This means the issue is elsewhere. - ---- - -## Current Hypothesis: Generation Prompt Issue - -The problem might be in `format_prompt()`: - -```python -def format_prompt(self) -> str: - """Format prompt for generation.""" - return self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=True, - tokenize=False, - # ⚠️ Missing: enable_thinking parameter! - ) -``` - -**Hypothesis:** -1. If default `enable_thinking=True` → generation prompt = `<|im_start|>assistant\n` (no wrapper) -2. vLLM generates: `Okay...` -3. Accumulation extracts the full response including headers -4. But somewhere an empty `` is being added - -**Need to investigate:** -1. What is the actual generation prompt sent to vLLM? -2. What does vLLM's `output.text` contain? (raw response) -3. How does `add_assistant_response()` process it? - ---- - -## Token Flow Comparison: VERL vs Our Approach - -### VERL (Direct Token Extraction) - -```python -# Step 1: Generate -gen_prompt = tokenize(messages, add_generation_prompt=True) -# = [..., <|im_start|>assistant\n] - -output = engine.generate(gen_prompt) -# output["output_ids"] = [content_tokens..., <|im_end|>] - -# Step 2: Accumulate generation prompt tokens -gen_prompt_tokens = gen_prompt[base_len:] # Role headers -input_ids.extend(gen_prompt_tokens) # loss_mask=False - -# Step 3: Accumulate output -input_ids.extend(output["output_ids"]) # loss_mask=True -``` - -**Key:** They split the response into (role headers from prompt) + (content from engine). - -### Our Approach (Delta Tokenization) - -```python -# Step 1: Generate -prompt_text = tokenizer.apply_chat_template(messages, add_generation_prompt=True, tokenize=False) -response = vLLM.generate(prompt_text) -# response.text = "Okay..." -# response.token_ids = [content_tokens] (vLLM removes special tokens by default) - -# Step 2: Re-tokenize full assistant message -temp_messages = [*BASE_CHAT_HISTORY, {"role": "assistant", "content": response.text}] -full_tokens = tokenizer.apply_chat_template(temp_messages, add_generation_prompt=False, tokenize=True) - -# Step 3: Extract delta -assistant_delta = full_tokens[base_len_wo_gen:] -all_tokens.extend(assistant_delta) -``` - -**Key:** We re-apply chat template to get the full assistant message with proper formatting. - ---- - -## Debugging Steps - -### 1. Check what vLLM actually returns - -```python -response = vLLM.generate(prompt_text) -print(f"response.text: {repr(response.text)}") -print(f"response.token_ids: {response.token_ids}") -``` - -### 2. Check the generation prompt - -```python -prompt_text = accumulator.format_prompt() -print(f"Generation prompt:\n{prompt_text}") - -# Also tokenize it to see the tokens -prompt_tokens = tokenizer.apply_chat_template( - accumulator.messages, - add_generation_prompt=True, - tokenize=True, -) -print(f"Last 20 tokens: {prompt_tokens[-20:]}") -print(f"Decoded last part: {tokenizer.decode(prompt_tokens[-20:])}") -``` - -### 3. Check the delta extraction - -```python -# In add_assistant_response -temp_messages = [*self.BASE_CHAT_HISTORY, {"role": "assistant", "content": response_text}] -full_with_assistant = tokenizer.apply_chat_template(temp_messages, add_generation_prompt=False, tokenize=True) - -print(f"BASE_CHAT_HISTORY: {self.BASE_CHAT_HISTORY}") -print(f"base_len_wo_gen: {self.base_len_wo_gen}") -print(f"response_text: {repr(response_text)}") -print(f"full_with_assistant: {full_with_assistant}") -print(f"Decoded: {tokenizer.decode(full_with_assistant)}") -print(f"assistant_delta: {full_with_assistant[self.base_len_wo_gen:]}") -``` - ---- - -## Next Steps - -1. ✅ Add debug logging to `format_prompt()` and `add_assistant_response()` -2. ✅ Test with explicit `enable_thinking=True` in `format_prompt()` -3. ✅ Verify that vLLM's response doesn't include the empty wrapper -4. ⚠️ Find where the duplicate `` is coming from - ---- - -## Code Locations - -- Test file: `/home/felipemello/forge/test_simple_vllm_v2.py` -- Main training: `/home/felipemello/forge/apps/blackjack/main_v2.py` -- Config: `/home/felipemello/forge/apps/blackjack/qwen3_1_7b.yaml` -- Library comparison: `/home/felipemello/forge/brainstorming_forge_tau/changes/3_truncation_v7_library_comparison.md` - ---- - -## Key Learnings - -1. **Budget calculation:** Must account for FULL overhead (role headers + EOS), not just generation prompt -2. **Qwen's think tags:** Template auto-wraps empty content, causing issues with overhead calculation -3. **Prefix matching is correct:** For complex templates like Qwen, we NEED to re-apply chat template to handle special tokens -4. **VERL uses direct extraction:** Works for simpler templates but requires careful handling of role headers - ---- - -**STATUS:** Investigation ongoing - duplicate `` tags still appearing despite overhead fix. - - ----- - -appendix - -python3 -c " -from vllm.transformers_utils.tokenizer import get_tokenizer -tokenizer = get_tokenizer('Qwen/Qwen3-1.7B') - -BASE = [{'role': 'system', 'content': ''}, {'role': 'user', 'content': ''}] -base_tokens = tokenizer.apply_chat_template(BASE, add_generation_prompt=False, tokenize=True) - -print('='*80) -print('TEST 1: Complete think tags (closing tag present)') -print('='*80) -with_complete = BASE + [{'role': 'assistant', 'content': '\nHello\n'}] -full = tokenizer.apply_chat_template(with_complete, add_generation_prompt=False, tokenize=True) -delta = full[len(base_tokens):] -print(f'Content: \\nHello\\n') -print(f'Delta decoded:\n{repr(tokenizer.decode(delta))}') - -print('\n' + '='*80) -print('TEST 2: Incomplete think tags (NO closing tag - TRUNCATED)') -print('='*80) -with_incomplete = BASE + [{'role': 'assistant', 'content': '\nHello'}] -full = tokenizer.apply_chat_template(with_incomplete, add_generation_prompt=False, tokenize=True) -delta = full[len(base_tokens):] -print(f'Content: \\nHello (no closing tag)') -print(f'Delta decoded:\n{repr(tokenizer.decode(delta))}') - -print('\n' + '='*80) -print('TEST 3: No think tags at all') -print('='*80) -with_none = BASE + [{'role': 'assistant', 'content': 'Hello'}] -full = tokenizer.apply_chat_template(with_none, add_generation_prompt=False, tokenize=True) -delta = full[len(base_tokens):] -print(f'Content: Hello') -print(f'Delta decoded:\n{repr(tokenizer.decode(delta))}') -" - -EST 1: Complete think tags (closing tag present) -================================================================================ -Content: -Hello - -Delta decoded: -'<|im_start|>assistant\n\nHello\n\n\n<|im_end|>\n' - -================================================================================ -TEST 2: Incomplete think tags (NO closing tag - TRUNCATED) -================================================================================ -Content: -Hello (no closing tag) -Delta decoded: -'<|im_start|>assistant\n\n\n\n\n\nHello<|im_end|>\n' - -================================================================================ -TEST 3: No think tags at all -================================================================================ -Content: Hello -Delta decoded: -'<|im_start|>assistant\n\n\n\n\nHello<|im_end|>\n' - - - - What's Happening - - TEST 1 (Complete tags): - Content: '\nHello\n' - Delta: '<|im_start|>assistant\n\nHello\n\n\n<|im_end|>\n' - ✅ CLEAN! No duplicates - template preserves complete tags correctly. - - TEST 2 (Incomplete tags - TRUNCATED): - Content: '\nHello' (no closing tag!) - Delta: '<|im_start|>assistant\n\n\n\n\n\nHello<|im_end|>\n' - ❌ DUPLICATE! Template adds empty wrapper \n\n\n\n BEFORE the incomplete tag! - - TEST 3 (No tags): - Content: 'Hello' - Delta: '<|im_start|>assistant\n\n\n\n\nHello<|im_end|>\n' - ✅ Expected - template wraps plain content in tags. - - --- - The Real Problem - - When vLLM truncates mid-generation, the response has: - - Opening tag: \n - - Content: Okay, let's see... - - NO closing tag (truncated before ) - - The chat template's logic: - 1. Sees incomplete tag in content - 2. Thinks: "This is malformed, I need to add proper wrappers!" - 3. Adds: \n\n\n\n (empty wrapper) + keeps the original incomplete \nOkay... - 4. Result: Duplicate tags! - - --- - Why This Happens in Your Tests - - Looking at out5.txt: - - Line 61-69: Response: '\nOkay...' + ⚠️ Generation TRUNCATED - - Lines 92-100: Duplicate tags appear - - The generation was truncated at 50 tokens (max_tokens limit), so the tag was never closed! - - TEST CASE 6 (lines 389-421) shows a different problem: - - NOT truncated (generation completed normally) - - Budget overflow: assistant_overhead=8 but actual overhead is 9 - - This is the overhead calculation bug (v2 fix didn't work correctly) - - The duplicate tags issue only affects truncated responses, which are already being filtered out by your mask logic. The real bug to fix is getting the - overhead calculation to return 9 instead of 8. diff --git a/brainstorming_forge_tau/changes/3_truncation_v9_core_issue_and_fix.md b/brainstorming_forge_tau/changes/3_truncation_v9_core_issue_and_fix.md deleted file mode 100644 index 58d434a0b..000000000 --- a/brainstorming_forge_tau/changes/3_truncation_v9_core_issue_and_fix.md +++ /dev/null @@ -1,368 +0,0 @@ -# Truncation V9: Core Issue and Fix - -**Date:** 2025-01-17 -**Status:** Root cause identified, simple fix available - ---- - -## The Problem - -Your decoded conversations show duplicate `` tags: - -``` -<|im_start|>assistant - ← AUTO-ADDED BY TEMPLATE - - - ← FROM VLLM -Okay, let's see... -``` - -**Root cause:** Your current implementation re-applies `chat_template` to get role headers, which triggers Qwen's auto-wrapping behavior on incomplete `` tags. - ---- - -## How VeRL Does It - -**VeRL's approach:** - -```python -# 1. Generate with engine -output = engine.generate(prompt) - -# 2. Get FULL token sequence directly from engine (including role headers) -if skip_tokenizer_init: - assistant_tokens = output["output_ids"] # Contains: role_header + content + eos -else: - # Fallback: re-tokenize via BASE anchor - assistant_tokens = tokenize(BASE + [{"role": "assistant", "content": output["text"]}])[base_len:] -``` - -**Key:** VeRL's engine (SGLang) returns `output_ids` with role headers already included. - ---- - -## Why You Can't Do the Exact Same - -**VeRL's engine vs your vLLM:** - -| What | VeRL (SGLang with skip_tokenizer_init) | Your vLLM | -|------|----------------------------------------|-----------| -| Returns | `[role_start, assistant, newline, content..., eos]` | `[content...]` only | -| Role headers | ✅ Included | ❌ Missing | -| Can use directly | ✅ Yes | ❌ No, need to add headers | - -**Example:** -```python -# VeRL's engine returns: -[151644, 77091, 198, 151667, 271, 151668, 271, 151667, 198, 32313, 11, 1077, 151645] -# ^role ^asst ^nl ^think ^nl ^/think^nl ^think ^nl ^content... ^eos - -# Your vLLM returns: -[151667, 198, 32313, 11, 1077] -# ^think ^nl ^content... -``` - -**You must add role headers separately.** - ---- - -## Your Current Approach (Why It Creates Duplicates) - -```python -# Current code (main_v2.py:261-298) -def add_assistant_response(response_text, response_token_ids): - # 1. Add message to list - self.messages.append({"role": "assistant", "content": response_text}) - - # 2. Re-tokenize via chat template to get role headers - temp_messages = [*BASE_CHAT_HISTORY, {"role": "assistant", "content": response_text}] - full_with_assistant = tokenizer.apply_chat_template(temp_messages, tokenize=True) - assistant_tokens = full_with_assistant[base_len:] # Extract delta -``` - -**What happens when response_text = `"\nOkay..."`** (incomplete, no closing tag): - -1. Chat template sees incomplete `` tag -2. Qwen's template logic: "malformed think tag, I'll add proper wrappers" -3. Outputs: `\n\n\n\n` + `\nOkay...` -4. Result: **duplicate tags** - -**Evidence from v8 appendix (lines 1010-1017):** -``` -Content: '\nHello' (no closing tag!) -Delta decoded: -'<|im_start|>assistant\n\n\n\n\n\nHello<|im_end|>\n' -❌ DUPLICATE! -``` - ---- - -## The Simple Fix - -**Use vLLM's `output.token_ids` directly + pre-computed role headers.** - -### Step 1: Pre-compute role headers (one-time, at init) - -```python -@lru_cache(maxsize=1) -def get_role_header_and_footer(tokenizer): - """Get role header and footer tokens for assistant.""" - # Tokenize conversation with COMPLETE think tags (avoids auto-wrapper) - base = [ - {"role": "system", "content": ""}, - {"role": "user", "content": ""}, - ] - with_assistant = base + [{"role": "assistant", "content": "X"}] - - # Get full sequence - full_tokens = tokenizer.apply_chat_template(with_assistant, tokenize=True) - - # Get base length - base_len = len(tokenizer.apply_chat_template(base, tokenize=True)) - - # Get content-only tokens - content_tokens = tokenizer.encode("X", add_special_tokens=False) - - # Extract role tokens: full - base - content - assistant_full = full_tokens[base_len:] - - # Find where content starts and ends - # Role header = everything before content - # Footer = everything after content (typically just eos) - - # Simple approach: header is first N tokens, footer is last M tokens - # For Qwen: header ≈ 8 tokens, footer ≈ 1 token (eos) - - # More robust: search for content_tokens in assistant_full - import numpy as np - content_arr = np.array(content_tokens) - assistant_arr = np.array(assistant_full) - - # Find content position - for i in range(len(assistant_arr) - len(content_arr) + 1): - if np.array_equal(assistant_arr[i:i+len(content_arr)], content_arr): - header = assistant_full[:i].tolist() - footer = assistant_full[i+len(content_arr):].tolist() - return header, footer - - raise ValueError("Could not find content in assistant tokens") -``` - -### Step 2: Use direct tokens + headers - -```python -def add_assistant_response(response_text, response_token_ids, response_logprobs): - """ - Add assistant response using DIRECT token IDs from vLLM. - - This avoids re-applying chat template, which prevents Qwen's - think-tag auto-wrapping behavior. - """ - # Get pre-computed role headers - role_header, role_footer = get_role_header_and_footer(self.tokenizer) - - # Combine: header + content (from vLLM) + footer - assistant_tokens = role_header + response_token_ids + role_footer - - # Create logprobs: zeros for headers, actual for content - assistant_logprobs = ( - [0.0] * len(role_header) + - response_logprobs + - [0.0] * len(role_footer) - ) - - # Check truncation (last content token != eos) - is_truncated = (response_token_ids[-1] != self.eos_token_id) - mask_value = 0 if is_truncated else 1 - - # Accumulate - self.all_tokens.extend(assistant_tokens) - self.response_mask.extend([mask_value] * len(assistant_tokens)) - self.logprobs.extend(assistant_logprobs) - - # Add to messages (for next turn's prompt) - self.messages.append({"role": "assistant", "content": response_text}) - - return not is_truncated -``` - ---- - -## Why This Works - -**Old approach:** -``` -vLLM returns: [, Okay] -↓ re-apply chat template -Chat template sees: "\nOkay" (incomplete) -↓ auto-wraps -Result: [role_start, , , , Okay, eos] -``` - -**New approach:** -``` -vLLM returns: [, Okay] -↓ prepend pre-computed header, append footer -Result: [role_start, , Okay, eos] -No template re-application = no auto-wrapping -``` - -**Key insight:** By using vLLM's tokens directly and only adding static role headers, we never re-apply the chat template on vLLM's content, so Qwen's think-tag logic never triggers. - ---- - -## Implementation - -### Change 1: Update `get_assistant_overhead` - -```python -# main_v2.py lines 134-167 - -@lru_cache(maxsize=1) -def get_assistant_overhead(tokenizer) -> tuple[int, list[int], list[int]]: - """ - Get role header and footer tokens for assistant responses. - - Returns: - (overhead_count, header_tokens, footer_tokens) - """ - base = [{"role": "system", "content": ""}, {"role": "user", "content": ""}] - base_tokens = tokenizer.apply_chat_template(base, tokenize=True) - - # Use complete think tags to avoid auto-wrapper - with_assistant = base + [{"role": "assistant", "content": "X"}] - full_tokens = tokenizer.apply_chat_template(with_assistant, tokenize=True) - - # Get content-only tokens - content_tokens = tokenizer.encode("X", add_special_tokens=False) - - # Extract assistant portion - assistant_full = full_tokens[len(base_tokens):] - - # Find content position - import numpy as np - for i in range(len(assistant_full) - len(content_tokens) + 1): - if assistant_full[i:i+len(content_tokens)] == content_tokens: - header = assistant_full[:i] - footer = assistant_full[i+len(content_tokens):] - overhead = len(header) + len(footer) - return overhead, header, footer - - # Fallback: assume eos is footer, rest is header - header = assistant_full[:-1] - footer = assistant_full[-1:] - overhead = len(assistant_full) - len(content_tokens) - return overhead, header, footer -``` - -### Change 2: Update TokenAccumulator.__init__ - -```python -# main_v2.py lines 185-206 - -def __init__(self, tokenizer, messages, max_seq_len, eos_token_id, ...): - self.tokenizer = tokenizer - self.max_seq_len = max_seq_len - self.eos_token_id = eos_token_id - - # Get role headers/footers - overhead, self.role_header, self.role_footer = get_assistant_overhead(tokenizer) - self.assistant_overhead = overhead - - # Rest of init... -``` - -### Change 3: Update add_assistant_response - -```python -# main_v2.py lines 261-329 - -def add_assistant_response(self, response_text, response_token_ids, response_logprobs=None): - """Add assistant response using DIRECT tokens from vLLM.""" - - # Check truncation - is_truncated = (len(response_token_ids) > 0 and - response_token_ids[-1] != self.eos_token_id) - - # Combine: header + vLLM content + footer - assistant_tokens = self.role_header + response_token_ids + self.role_footer - - # Create logprobs - num_content = len(response_token_ids) - assistant_logprobs = [0.0] * len(self.role_header) - if response_logprobs: - assistant_logprobs.extend(response_logprobs) - else: - assistant_logprobs.extend([0.0] * num_content) - assistant_logprobs.extend([0.0] * len(self.role_footer)) - - # Accumulate - mask_value = 0 if is_truncated else 1 - self.all_tokens.extend(assistant_tokens) - self.response_mask.extend([mask_value] * len(assistant_tokens)) - self.logprobs.extend(assistant_logprobs) - - # Add to messages for next prompt - self.messages.append({"role": "assistant", "content": response_text}) - - if is_truncated: - self.is_truncated = True - self.truncation_reason = "generation_length" - - return not is_truncated -``` - ---- - -## Comparison: Old vs New - -| Aspect | Old (Prefix Matching) | New (Direct Tokens) | -|--------|-----------------------|---------------------| -| Tokenization | Re-applies chat template every turn | Uses vLLM tokens + static headers | -| Think tag handling | ❌ Triggers auto-wrapper | ✅ No template re-application | -| Complexity | Medium (BASE anchor slicing) | Low (simple concatenation) | -| Matches VeRL | Partially (uses BASE anchor) | Yes (direct tokens + headers) | -| Token count | Exact (via finalize check) | Exact (pre-computed headers) | - ---- - -## What About User Messages? - -**User messages still use prefix matching** (unchanged): - -```python -def add_user_message(self, content, check_budget=True): - """Add user message using BASE anchor (unchanged).""" - self.messages.append({"role": "user", "content": content}) - - # Tokenize system + user to get delta - temp_messages = [self.BASE_CHAT_HISTORY[0], {"role": "user", "content": content}] - full_with_user = self.tokenizer.apply_chat_template(temp_messages, tokenize=True) - user_message_tokens = full_with_user[self.system_len:] - - # ... budget check and accumulation -``` - -**Why this is fine:** -- User messages don't have think tags (no auto-wrapper issue) -- Content is under our control (from environment) -- Prefix matching is reliable here - ---- - -## Summary - -**How VeRL does it:** Direct token IDs from engine (which includes role headers). - -**Why you can't do the exact same:** vLLM only returns content tokens, not role headers. - -**The fix:** Use vLLM's content tokens directly + pre-computed static role headers. - -**Why this fixes think tags:** No re-application of chat template = no auto-wrapping logic triggered. - -**Code changes:** 3 small changes to `get_assistant_overhead`, `__init__`, and `add_assistant_response`. - ---- - -**End of Document** diff --git a/brainstorming_forge_tau/changes/brainstorming/3_actor_env_judge_v1.md b/brainstorming_forge_tau/changes/brainstorming/3_actor_env_judge_v1.md deleted file mode 100644 index 1f6e9b7bc..000000000 --- a/brainstorming_forge_tau/changes/brainstorming/3_actor_env_judge_v1.md +++ /dev/null @@ -1,1612 +0,0 @@ -My initial prompt: - -``` -you are given '/home/felipemello/forge/brainstorming_forge_tau/1_requirements_and_context.md''/home/felipemello/forge/brainstor -ming_forge_tau/4_examples_APIs.md' '/home/felipemello/forge/brainstorming_forge_tau/tutorials/3_forge_current_state.md''/home/fel -ipemello/forge/brainstorming_forge_tau/tutorials/4_forge_ideal_state.md' - -I want you to explore 3 things -1. What happens if i need multiple envs for the same task, e.g. search the web AND code? In the 4_forge_ideal_state.md, there is -some basic map, but the way its structure only allows 1 env per task. Please reserach how the other frameworks handle this. Do it - for all frameworks expect blackjack -2 Further more, what if my env needs to be an actor? For example, what if my coding env needs gpu access? Or what if i want to -create a stack of envs on 100 cpus = 100 envs, for example? It seems reasonable to leverage Forge + Monarch actor to do all of -the routing / async calls. Then should Forge have a wrapper for OpenEnv envs? -3. Envs are responsible for returning rewards. Its commmon to have llm as a judge. OpenEnv doesnt have an example for that, -afaik. Might be worth investigate their RFCs. How could we have llm as a judge using open env? The case where it just calls an -API is trivial. But what if my model is hosted locally, as an actor? - - -Each one of these can result in a very long research, however, the design on all 3 are related. - -Here is my hint: -For 1, search how other libraries do it -For 2, take a good look at Forge APIs, starting from /home/felipemello/forge/apps/grpo/main.py, and also understand well OpenEnv environments. They have one for coding /home/felipemello/forge/OpenEnv/examples/coding_env_inference.py. Think about what would change if we had to execute this on GPU. Perhaps its also worth checking verifiers at least? Maybe the other frameworks too -For 3, definetely worth checking how other frameworks do llm as a judge, but now you also have a good understanding of Forge actors. - -however, you **MUST** do it phased, i.e. research about a topic and update the doc, ONLY THEN, research about the next topic and -update the doc, etc. I DO NOT want you to do all of the writing at once. - -if you have questions during the process, you can ask me or have a "open questions" at the end of the doc -``` - ----------- - -# Research: Actors, Environments, and LLM-as-a-Judge for Forge Multi-Turn RL - -This document presents research on three interrelated design questions for implementing multi-turn tool calling in Forge: - -1. **Multiple environments per task** (e.g., websearch AND coding) -2. **Environments as actors** (GPU access, distributed execution) -3. **LLM-as-a-judge for rewards** (local models as actors) - ---- - -## 1. Multiple Environments Per Task - -### Research Question -The current design in `4_forge_ideal_state.md` shows a basic 1:1 mapping between tasks and environments. However, real-world scenarios may require: -- **Single task, multiple tool domains**: e.g., "Research X and write code to analyze it" requires both websearch AND coding tools -- **Mixed training batches**: Training on websearch tasks AND coding tasks simultaneously for curriculum learning -- **Task-specific routing**: Different max_turns, tools, and reward functions per environment type - -### How Other Frameworks Handle This - -#### Framework 1: Tinker-Cookbook (Meta) - `CompositeDataset` Pattern P **RECOMMENDED** - -**Location**: `tinker-cookbook/distillation/datasets.py:45-84` - -**Core Abstraction**: `EnvGroupBuilder` - -Every environment type implements a common interface: - -```python -# tinker_cookbook/rl/types.py:64-108 - -class EnvGroupBuilder(ABC): - """ - Builds a group of environments. Enables: - - Multi-agent environments - - GRPO groups (e.g., 8 copies for one problem) - - Task-specific configurations - """ - - @abstractmethod - async def make_envs(self) -> Sequence[Env]: - """Create a group of environments (e.g., 8 copies for GRPO)""" - pass - - async def compute_group_rewards( - self, trajectory_group: list[Trajectory], env_group: Sequence[Env] - ) -> list[tuple[float, Metrics]]: - """Compute final reward looking at whole group (optional)""" - return [(0.0, {}) for _ in trajectory_group] - - def logging_tags(self) -> list[str]: - """Tags for logging (e.g., ['websearch'], ['coding'])""" - return [] -``` - -**Mixing Multiple Environment Types**: `CompositeDataset` - -```python -# tinker_cookbook/distillation/datasets.py:45-84 - -class CompositeDataset: - """Wraps multiple datasets and samples from each according to their groups_per_batch.""" - - def __init__(self, datasets: List[RLDataset], groups_per_batch_list: List[int]): - self.datasets = datasets - self.groups_per_batch_list = groups_per_batch_list - self.length = min(len(dataset) for dataset in datasets) - - def get_batch(self, i_batch: int) -> tuple[List[EnvGroupBuilder], List[int]]: - """ - Get a batch by sampling from each dataset. - - Returns: - env_group_builders: List of all env group builders (mixed!) - dataset_indices: Which dataset each builder came from - """ - all_env_group_builders = [] - all_dataset_indices = [] - - for dataset_idx, (dataset, groups_per_batch) in enumerate( - zip(self.datasets, self.groups_per_batch_list) - ): - env_group_builders = dataset.get_batch(i_batch) - all_env_group_builders.extend(env_group_builders) - all_dataset_indices.extend([dataset_idx] * groups_per_batch) - - return all_env_group_builders, all_dataset_indices -``` - -**Usage Example**: - -```python -# Define two different environment types -websearch_dataset = WebSearchDataset(...) # Returns EnvGroupBuilder for search tasks -coding_dataset = CodingDataset(...) # Returns EnvGroupBuilder for coding tasks - -# Mix them with explicit control over ratios -mixed_dataset = CompositeDataset( - datasets=[websearch_dataset, coding_dataset], - groups_per_batch_list=[50, 50] # 50 websearch + 50 coding groups per batch -) - -# Training loop handles both types transparently -for i_batch in range(num_batches): - env_group_builders, dataset_indices = mixed_dataset.get_batch(i_batch) - # env_group_builders contains 100 items: 50 websearch + 50 coding - # Each builder knows its own tools, max_turns, reward function! -``` - -**Key advantages**: --  **Decentralized design**: Each `EnvGroupBuilder` is self-contained --  **Batch-level mixing**: Control exact ratios via `groups_per_batch_list` --  **Separate logging**: Each builder has `logging_tags()` for domain-specific metrics --  **Flexible**: Can easily add new environment types without changing training loop - ---- - -#### Framework 2: Verifiers (Prime Intellect) - `EnvGroup` Pattern - -**Location**: `verifiers/verifiers/envs/env_group.py` - -**Core Abstraction**: `EnvGroup` as a Composite Environment - -```python -class EnvGroup(Environment): - """ - Environment group that acts as a mixture of multiple environments. - Routes operations to appropriate sub-environments based on the 'task' column. - """ - - def __init__( - self, - envs: list[Environment], - env_names: list[str] | None = None, - **kwargs - ): - self.envs = envs - self.env_names = env_names or [f"env_{i}" for i in range(len(envs))] - - # Create mapping for quick lookup - self.env_map = {name: env for name, env in zip(self.env_names, self.envs)} - - # Concatenate datasets with task labels - datasets = [] - for env, name in zip(self.envs, self.env_names): - env_dataset = env.get_dataset().map(lambda x: {**x, "task": name}) - datasets.append(env_dataset) - - # Combine all datasets - self.dataset = concatenate_datasets(datasets) -``` - -**Routing Logic**: - -```python -async def rollout(self, client, model, prompt, task, ...): - # Route to appropriate environment based on task field - env = self.env_map[task] - - # Set tools for this task's environment - if hasattr(env, "oai_tools") and env.oai_tools: - info["oai_tools"] = env.oai_tools # Different tools per env! - - # Execute rollout with task-specific environment - completion, state = await env.rollout(client, model, prompt, ...) -``` - -**Custom Rubric for Mixed Rewards**: - -```python -class EnvGroupRubric(Rubric): - """Routes scoring to appropriate environment rubrics.""" - - def __init__(self, env_map: Mapping[str, Environment]): - self.env_map = env_map - - # Collect ALL unique reward function names across environments - all_names_set = set() - for env in env_map.values(): - all_names_set.update(env.rubric.get_reward_func_names()) - self.all_reward_names = sorted(list(all_names_set)) - - async def score_rollout(self, prompt, completion, task, ...): - # Initialize ALL reward names to 0.0 - metrics = {name: 0.0 for name in self.all_reward_names} - - # Get environment for this task - env = self.env_map.get(task) - - # Score with environment's rubric - env_results = await env.rubric.score_rollout(...) - - # Update only the relevant metrics - for reward_name, score in env_results.metrics.items(): - if reward_name in metrics: - metrics[reward_name] = score - - return RolloutScore(reward=env_results.reward, metrics=metrics) -``` - -**Usage Example**: - -```python -# Define environments -websearch_env = vf.ToolEnv( - dataset=websearch_dataset, - tools=[search_pages, view_sections], - max_turns=10 -) - -coding_env = vf.ToolEnv( - dataset=coding_dataset, - tools=[execute_code, debug_code], - max_turns=15 -) - -# Combine into EnvGroup -env = EnvGroup( - envs=[websearch_env, coding_env], - env_names=["websearch", "coding"] -) - -# Training: samples automatically routed to correct environment -generate_outputs = await env.generate( - inputs=mixed_dataset, # Has both "websearch" and "coding" task fields - client=client, - model=model_name -) -``` - -**Key advantages**: --  **Centralized routing**: `EnvGroup` owns all sub-environments --  **Sample-level routing**: Automatic based on `task` field in dataset --  **Unified reward tracking**: All environments' metrics tracked in single dict --  **Simple API**: Just pass task name, routing happens internally - ---- - -#### Framework 3: NeMo-RL (Thinking Machines) - Dict-based Routing - -**Location**: `RL/nemo_rl/experience/rollouts.py:226-275` - -**Core Pattern**: Explicit `task_to_env` dictionary passed through rollout functions - -```python -def calculate_rewards( - batch: BatchedDataDict[DatumSpec], - task_to_env: dict[str, EnvironmentInterface], -) -> EnvironmentReturn: - """Calculate rewards for generated responses. - - Args: - batch: Contains message_log with generated responses - task_to_env: Dictionary mapping task names to environments - """ - # Extract task names from batch - task_names = batch["task_name"] - - # Group messages by task type - task_groups: dict[str, list[tuple[int, LLMMessageLogType]]] = {} - for i, task_name in enumerate(task_names): - if task_name not in task_groups: - task_groups[task_name] = [] - task_groups[task_name].append((i, messages[i])) - - # Calculate rewards for each task group concurrently - futures = [] - future_to_indices = {} - for task_name, group in task_groups.items(): - if task_name not in task_to_env: - raise ValueError(f"No environment found for task type: {task_name}") - - # Extract messages for this group - indices = [idx for idx, _ in group] - group_messages = [msg for _, msg in group] - - # Submit to environment (Ray actor call) - future = task_to_env[task_name].step.remote(group_messages, env_info) - futures.append(future) - future_to_indices[future] = indices - - # Wait for all environments to complete - results = ray.get(futures) - - # Merge results back into batch order - # ... (details omitted) -``` - -**Usage in Rollout**: - -```python -async def run_async_multi_turn_rollout( - policy_generation, - input_batch, - tokenizer, - task_to_env: dict[str, EnvironmentInterface], # Explicit dict - max_seq_len, - max_rollout_turns, -): - # Each sample has a task_name field - for i in range(batch_size): - sample_state = { - "message_log": input_batch["message_log"][i], - "task_name": input_batch["task_name"][i], # Used for routing - ... - } - - # During reward calculation - env_output = calculate_rewards(active_batch, task_to_env) -``` - -**Setup**: - -```python -# In main training script -task_to_env = { - "websearch": WebSearchEnvironment(...), - "coding": CodeEnvironment(...), - "math": MathEnvironment(...), -} - -# Pass to all rollout functions -rollout_output = run_async_multi_turn_rollout( - policy, batch, tokenizer, - task_to_env=task_to_env, # Explicit parameter - ... -) -``` - -**Key advantages**: --  **Explicit and simple**: Just a dict, no magic --  **Ray actor support**: Environments can be distributed actors --  **Concurrent execution**: Groups tasks by type, processes in parallel --  **Full control**: You manage the task_to_env mapping - -**Limitations**: -- � Manual setup required (no helper classes like CompositeDataset) -- � Must ensure dataset has `task_name` field -- � No built-in batch mixing logic - ---- - -#### Framework 4: VERL - Separate Config Files (Manual) - -**Location**: `verl/examples/sglang_multiturn/config/tool_config/` - -VERL uses **separate YAML files** for different tool configurations, but does NOT have built-in multi-environment support. - -```yaml -# gsm8k_tool_config.yaml -tools: - - class_name: "verl.tools.gsm8k_tool.Gsm8kTool" - tool_schema: - type: "function" - function: - name: "calc_gsm8k_reward" - -# sandbox_fusion_tool_config.yaml -tools: - - class_name: "verl.tools.sandbox_fusion_tools.SandboxFusionTool" - tool_schema: - type: "function" - function: - name: "code_interpreter" -``` - -**Approach**: Run separate training jobs with different configs OR manually load tools based on task. - -**Limitation**: Not designed for mixed datasets out-of-the-box. - ---- - -### Framework Comparison Table - -| Framework | Multi-Env Support | Routing Method | Tools Per Env | Batch Mixing | Best For | -|-----------|------------------|----------------|---------------|--------------|----------| -| **Tinker (Meta)** |  Built-in `CompositeDataset` | Batch-level mixing |  Different tools |  Explicit ratios | **Production multi-env** | -| **Verifiers (Prime)** |  Built-in `EnvGroup` | `task` field in dataset |  Different tools |  Automatic | **Production multi-env** | -| **NeMo-RL** | � Manual dict | Dict lookup |  Different tools | � Manual | Custom routing logic | -| **VERL** | L No built-in | Separate configs | Config-based | L | Single env per job | - ---- - -### Recommendation for Forge - -**Use Tinker's `CompositeDataset` pattern** as the foundation, with inspiration from Verifiers' centralized routing: - -```python -# 1. Define EnvGroupBuilder abstraction (similar to Tinker) -class EnvGroupBuilder(ABC): - """Base class for creating groups of environments.""" - - @abstractmethod - async def make_envs(self, group_size: int) -> list[Environment]: - """Create group_size environments for this task.""" - pass - - def logging_tags(self) -> list[str]: - """Tags for separating metrics by environment type.""" - return [] - -# 2. Implement for different environment types -class WebSearchEnvBuilder(EnvGroupBuilder): - def __init__(self, task_data, tools, max_turns=10): - self.task_data = task_data - self.tools = tools - self.max_turns = max_turns - - async def make_envs(self, group_size: int): - return [ - WebSearchEnv(self.task_data, self.tools, self.max_turns) - for _ in range(group_size) - ] - - def logging_tags(self): - return ["websearch"] - -class CodingEnvBuilder(EnvGroupBuilder): - def __init__(self, task_data, tools, max_turns=15): - self.task_data = task_data - self.tools = tools - self.max_turns = max_turns - - async def make_envs(self, group_size: int): - return [ - CodingEnv(self.task_data, self.tools, self.max_turns) - for _ in range(group_size) - ] - - def logging_tags(self): - return ["coding"] - -# 3. Use CompositeDataset for mixing -mixed_dataset = CompositeDataset( - datasets=[ - WebSearchDataset(...), # Returns WebSearchEnvBuilder per sample - CodingDataset(...), # Returns CodingEnvBuilder per sample - ], - groups_per_batch_list=[50, 50] # 50 of each per batch -) - -# 4. In Forge rollout loop -async def continuous_rollouts(): - while True: - env_group_builders, dataset_indices = mixed_dataset.get_batch(batch_idx) - - # Each builder knows its own type! - for builder in env_group_builders: - # Create environments (e.g., 8 for GRPO) - envs = await builder.make_envs(group_size=8) - - # Play episodes with appropriate tools/config - episodes = await play_episodes_with_envs( - policy=policy, - envs=envs, - builder=builder # Has logging_tags for metrics - ) -``` - -**Why this approach**: --  **Different tools per environment**: Each builder configures its own tools --  **Different max_turns**: WebSearch uses 10, Coding uses 15 --  **Flexible mixing ratios**: Control with `groups_per_batch_list` --  **Separate metrics**: Each builder's `logging_tags()` enables domain-specific tracking --  **Unified training loop**: No special casing needed --  **Extensible**: Add new environment types without changing core logic - ---- - -## References - Topic 1 - -### Tinker-Cookbook (Meta) -- `tinker-cookbook/tinker_cookbook/rl/types.py:64-108` - `EnvGroupBuilder` interface -- `tinker-cookbook/distillation/datasets.py:45-84` - `CompositeDataset` implementation -- `tinker-cookbook/distillation/train_on_policy.py` - Usage in training loop - -### Verifiers (Prime Intellect) -- `verifiers/verifiers/envs/env_group.py` - `EnvGroup` and `EnvGroupRubric` -- `verifiers/tests/test_env_group.py` - Usage examples -- `verifiers/environments/math_group/math_group.py` - Concrete implementation - -### NeMo-RL (Thinking Machines) -- `RL/nemo_rl/experience/rollouts.py:226-275` - `calculate_rewards` with task routing -- `RL/nemo_rl/experience/rollouts.py:780-880` - `run_async_multi_turn_rollout` -- `RL/nemo_rl/environments/interfaces.py` - `EnvironmentInterface` - -### VERL -- `verl/examples/sglang_multiturn/config/tool_config/` - Tool configuration YAMLs -- `verl/verl/tools/utils/tool_registry.py` - Tool registry pattern - ---- - -## 2. Environments as Actors (GPU Access & Distributed Execution) - -### Research Question -What if an environment needs computational resources like GPUs? For example: -- **Coding environment with GPU**: Execute ML code that requires CUDA -- **Scaling to 100s of environments**: Need distributed execution across multiple CPUs/GPUs -- **LLM-based judging**: Reward functions that call local LLMs (covered in Topic 3) - -Should Forge wrap OpenEnv with actors? How do other frameworks handle this? - -### Forge Actor System (Monarch) - -**How Forge actors work**: - -Forge uses **Monarch** for distributed actor communication, not Ray. Key components: - -```python -# src/forge/actors/generator.py:71-80 - -@dataclass -class Generator(ForgeActor): - """Instance of a vLLM-based generator. - - This class manually recreates a vLLM engine that mirrors AsyncLLMEngine in v1. - All communications are controlled via Monarch's proc meshes. - - Args: - engine_args (EngineArgs): vLLM engine arguments - sampling_params (SamplingParams): Sampling parameters -``` - -**Key pattern**: All Forge actors inherit from `ForgeActor` and use `@endpoint` decorators: - -```python -from monarch.actor import endpoint -from forge.controller import ForgeActor - -@dataclass -class Generator(ForgeActor): - - @endpoint(async_mode=True) - async def generate(self, prompt: str, n: int = 1): - """Async endpoint callable from other actors.""" - # Implementation... - -# Usage from apps/grpo/main.py: -responses = await policy.generate.route(prompt, n=8) -``` - -**Important differences from Ray**: -- ✅ **Monarch proc meshes**: Not Ray actors -- ✅ **Route-based communication**: `.route()` instead of `.remote()` -- ✅ **Process mesh coordination**: Actors coordinate via shared process meshes - -### OpenEnv Execution Model (Docker + HTTP) - -**How OpenEnv currently works** (`OpenEnv/examples/coding_env_inference.py`): - -```python -from envs.coding_env import CodingEnv, CodeAction - -# 1. Launch Docker container with HTTP server -env = CodingEnv.from_docker_image( - "coding-env:latest", - ports={8000: 8000}, # Expose HTTP API -) - -# 2. Call via HTTP (blocking) -result = env.step(CodeAction(code="print('hello')")) - -# 3. Docker container handles execution internally -# - Sandboxed Python environment -# - No GPU access by default -# - Synchronous HTTP calls -``` - -**Key characteristics**: -- ✅ **Isolated execution**: Docker provides sandboxing -- ✅ **Language-agnostic**: Any Docker image works -- ❌ **No GPU support out-of-the-box**: Would need `--gpus all` in Docker -- ❌ **Synchronous**: Blocking HTTP calls -- ❌ **Not distributed**: Each Docker container runs on same host - -### NeMo-RL Approach: Ray Actors for Environments ⭐ **RECOMMENDED for GPU** - -**Location**: `RL/nemo_rl/environments/code_environment.py:49-261` - -**Key Pattern**: Environments are Ray actors with worker pools - -```python -# 1. Define worker as Ray remote class -@ray.remote -class CodeExecutionWorker: - """Helper class to process individual code execution steps.""" - - def __init__(self): - # Create sandbox for code execution - self.sandbox = {"__builtins__": ...} - - def execute_code(self, code: str): - # Execute code in sandbox - result = exec(code, self.sandbox) - return result - -# 2. Environment is also a Ray actor that manages workers -@ray.remote(max_restarts=-1, max_task_retries=-1) -class CodeEnvironment(EnvironmentInterface): - """Main environment that coordinates workers.""" - - def __init__(self, config: CodeEnvConfig): - self.num_workers = config["num_workers"] - - # Create pool of Ray workers - self.workers = [ - CodeExecutionWorker.remote() - for _ in range(self.num_workers) - ] - - def step(self, message_logs, env_info): - # Batch work across workers - chunked_work = chunk_list_to_workers(message_logs, self.num_workers) - - # Execute in parallel - futures = [ - self.workers[i].execute_code.remote(chunk) - for i, chunk in enumerate(chunked_work) - ] - - # Wait for results - results = ray.get(futures) - return merge_results(results) - - def shutdown(self): - for worker in self.workers: - ray.kill(worker) -``` - -**Usage in training** (`RL/nemo_rl/experience/rollouts.py:260-274`): - -```python -# Setup: Create environments as Ray actors -task_to_env = { - "coding": CodeEnvironment.remote(config), # Ray actor! - "math": MathEnvironment.remote(config), -} - -# During rollout: Call actor methods -env = task_to_env[task_name] -future = env.step.remote(messages, env_info) # Async Ray call -results = ray.get(future) # Wait for completion -``` - -**Key advantages**: -- ✅ **Parallel execution**: Worker pool distributes work -- ✅ **Non-blocking**: Ray futures enable async execution -- ✅ **Resource isolation**: Each actor can have dedicated resources -- ✅ **Fault tolerance**: `max_restarts=-1` handles crashes - -### GPU-Enabled Environments (NeMo-RL Reward Model Example) - -**Location**: `RL/nemo_rl/environments/reward_model_environment.py:71-180` - -**Pattern**: Ray actor with GPU allocation via virtual cluster - -```python -@ray.remote -class RewardModelEnvironment(EnvironmentInterface): - """Environment that uses GPU for reward computation.""" - - def __init__(self, config: Dict[str, Any]): - self.config = config - - # Create Ray virtual cluster with GPU allocation - self.virtual_cluster = RayVirtualCluster( - name="grpo_reward_model_cluster", - bundle_ct_per_node_list=[ - config["resources"]["gpus_per_node"] - ] * config["resources"]["num_nodes"], - use_gpus=True, # <-- Enable GPU allocation - num_gpus_per_node=config["resources"]["gpus_per_node"], - max_colocated_worker_groups=1, - ) - - # Initialize LLM policy on GPUs - self.reward_model_policy = Policy( - cluster=self.virtual_cluster, # Uses GPUs - config=self.config, - tokenizer=self.tokenizer, - weights_path=checkpoint_path, - ) - - def step(self, message_logs, env_info): - # Run inference on GPUs - batch = self.preprocess_data(message_logs) - scores = self.reward_model_policy.forward(batch) - return EnvironmentReturn(rewards=scores, ...) -``` - -**Resource configuration**: - -```python -config = { - "resources": { - "num_nodes": 2, - "gpus_per_node": 4, # 8 total GPUs - }, - "model_name": "Skywork/Skywork-Reward-V2-Qwen3-0.6B", - "precision": "bfloat16", -} - -env = RewardModelEnvironment.remote(config) -``` - -**Key insights**: -- ✅ **GPU allocation**: Virtual cluster manages GPU resources -- ✅ **Multi-node support**: Can span multiple machines -- ✅ **LLM-as-a-judge**: Reward model runs as environment (see Topic 3) - -### Verifiers Approach: CPU-Only Async - -Verifiers does NOT use actors for environments. All execution is CPU-based async: - -```python -# verifiers/envs/tool_env.py -class ToolEnv(MultiTurnEnv): - async def env_response(self, messages, state): - """Execute tools (CPU-bound, async I/O).""" - tool_messages = [] - for tool_call in messages[-1]["tool_calls"]: - # Execute tool (async Python function) - result = await self.tool_map[tool_name](**tool_args) - tool_messages.append({...}) - return tool_messages, state -``` - -**No GPU support**: Tools are Python functions, no GPU access needed. - -### When to Use Actors for Environments - -| Use Case | Solution | Framework Example | -|----------|----------|-------------------| -| **Simple tools (API calls, DB queries)** | No actors, async functions | Verifiers `ToolEnv` | -| **CPU-intensive (code exec, search)** | Ray/Monarch actors with worker pools | NeMo-RL `CodeEnvironment` | -| **GPU-required (LLM judge, model exec)** | Ray actors with GPU allocation | NeMo-RL `RewardModelEnvironment` | -| **Sandboxed execution** | OpenEnv Docker containers | OpenEnv `CodingEnv` | -| **Distributed at scale (100+ envs)** | Ray actors across multiple nodes | NeMo-RL with Ray cluster | - -### Recommendation for Forge - -**Hybrid Approach**: Support both OpenEnv (Docker) AND Monarch actors (for GPU) - -#### Option 1: OpenEnv with Docker (Current, CPU-only) - -```python -# Good for: Sandboxed execution, language-agnostic tools -# Limited by: No GPU, synchronous HTTP - -from openenv import CodingEnv - -env = CodingEnv.from_docker_image("coding-env:latest") -result = env.step(CodeAction(code="...")) -``` - -#### Option 2: Forge Actors for GPU Environments (NEW) - -```python -# Good for: GPU access, async execution, distributed -# Limited by: Requires Forge/Monarch infrastructure - -from forge.controller import ForgeActor -from monarch.actor import endpoint - -@dataclass -class GPUCodingEnv(ForgeActor): - """Coding environment with GPU support.""" - - config: dict - - def __post_init__(self): - # Initialize GPU resources - self.device = torch.device("cuda") - # Load ML model for code analysis - self.model = load_model().to(self.device) - - @endpoint(async_mode=True) - async def execute_code(self, code: str, context: dict): - """Execute code with GPU-accelerated analysis.""" - # Run code in sandbox - result = exec_in_sandbox(code) - - # Analyze with GPU model - analysis = self.model(result) # GPU inference - - return { - "output": result, - "analysis": analysis, - "device": str(self.device) - } - -# Usage: -gpu_env = GPUCodingEnv(config={"device": "cuda:0"}) -result = await gpu_env.execute_code.route(code="...") -``` - -#### Option 3: Wrapper Pattern (Forge Actor → OpenEnv) - -```python -# Good for: Leverage OpenEnv ecosy stem + Forge async -# Limited by: Still no GPU in OpenEnv - -@dataclass -class ForgeOpenEnvWrapper(ForgeActor): - """Forge actor that wraps OpenEnv for async routing.""" - - env_image: str - - def __post_init__(self): - from envs.coding_env import CodingEnv - self.env = CodingEnv.from_docker_image(self.env_image) - - @endpoint(async_mode=True) - async def step(self, action): - # Run OpenEnv in thread pool (blocking → async) - loop = asyncio.get_event_loop() - result = await loop.run_in_executor( - None, - self.env.step, - action - ) - return result - - @endpoint(async_mode=False) - def close(self): - self.env.close() - -# Usage: -env_actor = ForgeOpenEnvWrapper(env_image="coding-env:latest") -result = await env_actor.step.route(CodeAction(code="...")) -``` - -### Proposed Design for Forge - -**1. Create `Environment` interface** (similar to NeMo-RL): - -```python -from abc import ABC, abstractmethod -from forge.controller import ForgeActor - -class Environment(ABC): - """Base class for all Forge environments.""" - - @abstractmethod - async def reset(self) -> dict: - """Reset environment, return initial observation.""" - pass - - @abstractmethod - async def step(self, action: Any) -> dict: - """Execute action, return observation, reward, done.""" - pass - - async def close(self): - """Cleanup resources.""" - pass - -# 2. CPU-based implementation (wraps OpenEnv) -class OpenEnvEnvironment(Environment): - def __init__(self, docker_image: str): - from envs import create_env_from_image - self.env = create_env_from_image(docker_image) - - async def step(self, action): - # Wrap sync call in async - loop = asyncio.get_event_loop() - return await loop.run_in_executor(None, self.env.step, action) - -# 3. GPU-based implementation (Forge actor) -@dataclass -class GPUEnvironment(Environment, ForgeActor): - config: dict - - def __post_init__(self): - self.device = torch.device(self.config["device"]) - # Initialize GPU resources - - @endpoint(async_mode=True) - async def step(self, action): - # GPU computation here - pass -``` - -**2. Environment factory** (route based on config): - -```python -def create_environment(env_type: str, config: dict) -> Environment: - if config.get("requires_gpu", False): - return GPUEnvironment(config) - elif config.get("use_docker", True): - return OpenEnvEnvironment(config["docker_image"]) - else: - return LocalEnvironment(config) - -# Usage: -env = create_environment( - "coding", - config={ - "requires_gpu": True, - "device": "cuda:0", - "model": "codellama" - } -) -``` - -### Key Takeaways - -1. **OpenEnv is great for CPU sandboxing** but lacks GPU support -2. **Ray actors enable GPU environments** (see NeMo-RL reward model) -3. **Forge has Monarch actors** (not Ray), need to adapt patterns -4. **Worker pools enable parallelism** (distribute work across CPUs/GPUs) -5. **Environment abstraction enables flexibility** (swap OpenEnv ↔ GPU actor) - ---- - -## References - Topic 2 - -### Forge (Monarch Actors) -- `src/forge/actors/generator.py:71-80` - Generator as ForgeActor -- `apps/grpo/main.py:82-98` - Actor usage with `.route()` -- `forge/controller/actor.py` - `ForgeActor` base class -- Monarch documentation (proc meshes, @endpoint) - -### OpenEnv -- `OpenEnv/examples/coding_env_inference.py` - Docker-based execution -- `OpenEnv/src/core/http_env_client.py` - HTTP client interface -- `OpenEnv/src/envs/coding_env/` - Coding environment implementation - -### NeMo-RL (Ray Actors) -- `RL/nemo_rl/environments/code_environment.py:49-261` - Ray actor with workers -- `RL/nemo_rl/environments/reward_model_environment.py:71-180` - GPU environment -- `RL/nemo_rl/experience/rollouts.py:226-275` - Environment routing -- `RL/nemo_rl/distributed/virtual_cluster.py` - RayVirtualCluster - -### Verifiers -- `verifiers/envs/tool_env.py` - Async CPU-only execution -- No actor-based environments - ---- - -## 3. LLM-as-a-Judge for Rewards - -### Research Question -Rewards often require LLM-based judging (e.g., "Was this answer helpful?"). Key challenges: -- **API-based judge**: Simple case (OpenAI API, async calls) -- **Local model as judge**: Model hosted as actor with GPU (more complex) -- **Where does judging happen**: Environment or separate reward function? - -How do other frameworks handle LLM-as-a-judge, especially when the judge is hosted locally as an actor? - -### OpenEnv Pattern: Environment Returns Rewards - -**Key insight from OpenEnv**: Environments are responsible for rewards via `.step()`. - -```python -# OpenEnv core interface (src/core/client_types.py) - -@dataclass -class StepResult: - """Result from environment.step()""" - observation: Observation - reward: float | None # <-- Environment computes this! - done: bool - info: dict - -# Example usage -result = env.step(action) -print(f"Reward: {result.reward}") # Environment already computed it -``` - -**Where reward logic lives**: -- **Simple envs**: Reward computed inside Docker container -- **Complex envs**: Could call LLM API inside environment - -**Limitation**: OpenEnv examples don't show LLM-as-a-judge patterns. All examples use rule-based rewards (e.g., poker chips, game scores). - -### Verifiers Pattern: Separate Rubric with API-Based Judge ⭐ **RECOMMENDED for API** - -**Location**: `verifiers/verifiers/rubrics/judge_rubric.py:31-145` - -**Core Abstraction**: `JudgeRubric` separates reward computation from environment - -```python -from openai import AsyncOpenAI -from verifiers.rubrics.rubric import Rubric - -class JudgeRubric(Rubric): - """Uses an LLM to judge if response matches ground truth.""" - - def __init__( - self, - judge_client: AsyncOpenAI | None = None, - judge_model: str = "gpt-4.1-nano", # API model - judge_sampling_args: dict[str, Any] | None = None, - judge_prompt: str = DEFAULT_JUDGE_PROMPT, - **kwargs, - ): - super().__init__(**kwargs) - self.judge_client = judge_client or AsyncOpenAI() - self.judge_model = judge_model - self.judge_prompt = judge_prompt - self.judge_sampling_args = judge_sampling_args or {} - - async def judge( - self, - prompt: Messages, - completion: Messages, - answer: str, # Ground truth - state: State, - **kwargs, - ) -> str: - """Call LLM API to judge correctness.""" - # Extract question and response - question = prompt[-1]["content"] - response = self.parser.parse_answer(completion) - - # Format judge prompt - judge_prompt = self.judge_prompt.format( - question=question, - answer=answer, - response=response - ) - - # Check cache (avoid redundant API calls) - cached = state.get("judge_response", {}) - if judge_prompt in cached: - return cached[judge_prompt] - - # Call LLM API asynchronously - judge_response = await self.judge_client.chat.completions.create( - model=self.judge_model, - messages=[{"role": "user", "content": judge_prompt}], - **self.judge_sampling_args, - ) - judge_response = str(judge_response.choices[0].message.content) - - # Cache result - cached[judge_prompt] = judge_response - state["judge_response"] = cached - return judge_response - - async def score_rollout(self, prompt, completion, answer, state, ...): - """Convert judge output to numeric reward.""" - judge_output = await self.judge(prompt, completion, answer, state) - - # Parse yes/no to 1.0/0.0 - reward = 1.0 if "yes" in judge_output.lower() else 0.0 - - return RolloutScore(reward=reward, metrics={...}) -``` - -**Default judge prompt**: - -```python -DEFAULT_JUDGE_PROMPT = """Given a ground truth answer \ -and a response, determine if the response is correct. - -Question: -``` -{question} -``` - -Ground truth answer: -``` -{answer} -``` - -Response: -``` -{response} -``` - -Respond either "yes" or "no" only.""" -``` - -**Usage**: - -```python -import verifiers as vf -from verifiers.rubrics import JudgeRubric - -# Create environment with LLM judge -env = vf.ToolEnv( - dataset=my_dataset, - tools=[search_tool, calculator], - rubric=JudgeRubric( - judge_model="gpt-4.1-mini", - judge_client=AsyncOpenAI(api_key=...), - judge_sampling_args={"temperature": 0.0, "max_tokens": 10} - ) -) - -# During rollout, rubric automatically calls judge -outputs = await env.generate(inputs=batch, client=client, model=model) -# outputs.rewards computed via LLM judge! -``` - -**Key advantages**: -- ✅ **Separation of concerns**: Rubric (reward) separate from Environment (tools) -- ✅ **Async API calls**: Non-blocking, can handle many concurrent requests -- ✅ **Caching**: Avoid redundant API calls for same prompt -- ✅ **Error handling**: Graceful handling of rate limits, timeouts, API errors -- ✅ **Flexible**: Easy to swap judge models or prompts - -**Limitations**: -- ⚠️ **API-only**: Requires OpenAI-compatible API (can't use local actor model) -- ⚠️ **Latency**: API calls add latency to rollout - -### NeMo-RL Pattern: Reward Model as Environment Actor ⭐ **RECOMMENDED for Local GPU** - -**Location**: `RL/nemo_rl/environments/reward_model_environment.py:71-256` - -**Key Pattern**: Reward model IS the environment, runs as Ray actor with GPUs - -```python -@ray.remote -class RewardModelEnvironment(EnvironmentInterface): - """Environment = Reward model with GPU.""" - - def __init__(self, config: Dict[str, Any]): - # Create Ray virtual cluster with GPUs - self.virtual_cluster = RayVirtualCluster( - bundle_ct_per_node_list=[config["resources"]["gpus_per_node"]] - * config["resources"]["num_nodes"], - use_gpus=True, - num_gpus_per_node=config["resources"]["gpus_per_node"], - ) - - # Load reward model on GPUs - self.reward_model_policy = Policy( - cluster=self.virtual_cluster, - config=self.config, - tokenizer=self.tokenizer, - weights_path=checkpoint_path, - ) - - def step(self, message_logs: List[LLMMessageLogType], env_info): - """ - Score conversations with reward model. - - Args: - message_logs: Full conversation history per sample - env_info: Additional environment metadata - - Returns: - EnvironmentReturn with rewards from model - """ - # Tokenize conversations - batch = self.preprocess_data(message_logs) - - # Run reward model inference on GPU - scores = self.reward_model_policy.forward(batch) - - # Return rewards - return EnvironmentReturn( - rewards=scores, - terminateds=torch.ones(len(message_logs), dtype=torch.bool), - observations=[""] * len(message_logs), - metadata=[{}] * len(message_logs), - next_stop_strings=[None] * len(message_logs), - answers=[""] * len(message_logs), - ) -``` - -**Configuration**: - -```python -reward_model_config = { - "enabled": True, - "model_name": "Skywork/Skywork-Reward-V2-Qwen3-0.6B", - "precision": "bfloat16", - "batch_size": 32, - "checkpoint_path": "/path/to/checkpoint", - "resources": { - "num_nodes": 1, - "gpus_per_node": 2, # 2 GPUs for reward model - }, - "dtensor_cfg": {"enabled": True}, -} - -# Create reward environment as Ray actor -reward_env = RewardModelEnvironment.remote(reward_model_config) -``` - -**Usage in training**: - -```python -# Setup: Reward model is just another environment -task_to_env = { - "math": MathEnvironment.remote(...), - "coding": CodeEnvironment.remote(...), - "reward_scoring": RewardModelEnvironment.remote(...), # Judge environment! -} - -# During rollout: Call like any other environment -env_output = calculate_rewards(batch, task_to_env) -# Internally routes to RewardModelEnvironment.step() -``` - -**Key advantages**: -- ✅ **GPU acceleration**: Full GPU access for reward model -- ✅ **Batch inference**: Efficient batched scoring -- ✅ **Ray actor**: Distributed, fault-tolerant, async -- ✅ **Consistent interface**: Same as other environments (EnvironmentInterface) -- ✅ **Multi-node**: Can distribute across multiple machines - -**Key insight**: **Reward model = Environment**. It "judges" trajectories like a tool env executes tools. - -### VERL Pattern: Standalone Reward Model Manager - -**Location**: `verl/verl/experimental/reward/reward_model.py:32-137` - -**Pattern**: Separate reward model service with HTTP router - -```python -class RewardModelManager: - """Manages reward model servers with load balancing.""" - - def __init__(self, config: RewardModelConfig, worker_group=None): - self.config = config - self._initialize_llm_servers() # Spawn vLLM/SGLang servers - self._initialize_router() # Load balancer - - def _initialize_llm_servers(self): - """Spawn multiple reward model replicas.""" - rollout_world_size = self.config.rollout.tensor_model_parallel_size - num_replicas = self.config.n_gpus // rollout_world_size - - # Create replica servers - self.rollout_replicas = [ - rollout_replica_class( - replica_rank=rank, - config=self.config.rollout, - model_config=model_config, - gpus_per_node=self.config.n_gpus_per_node, - is_reward_model=True, # Special flag - ) - for rank in range(num_replicas) - ] - - # Initialize servers (colocated or standalone) - if self.worker_group: - self._run_all([s.init_colocated(self.worker_group) for s in self.rollout_replicas]) - else: - self._run_all([s.init_standalone() for s in self.rollout_replicas]) - - def _initialize_router(self): - """Create HTTP router to load balance across replicas.""" - worker_urls = [f"http://{addr}" for addr in self.server_addresses] - self.router_address, _ = launch_router_process(worker_urls=worker_urls) - - async def chat_complete(self, chat_complete_request: dict): - """Call reward model via HTTP (OpenAI-compatible).""" - url = f"http://{self.router_address}/v1/chat/completions" - async with aiohttp.ClientSession() as session: - async with session.post(url, json=chat_complete_request) as resp: - output = await resp.json() - return ChatCompletion(**output) -``` - -**Usage**: - -```python -# Setup reward model manager -reward_mgr = RewardModelManager( - config=RewardModelConfig( - model={"path": "Skywork/Skywork-Reward-V2-Qwen3-0.6B"}, - rollout={"tensor_model_parallel_size": 2}, - n_gpus_per_node=4, - nnodes=1, - ) -) - -# Call reward model -async def score_trajectory(messages): - request = { - "model": "Skywork/Skywork-Reward-V2-Qwen3-0.6B", - "messages": messages, - "temperature": 0.0, - } - response = await reward_mgr.chat_complete(request) - return response.choices[0].message.content -``` - -**Key advantages**: -- ✅ **Load balancing**: Router distributes across replicas -- ✅ **OpenAI-compatible**: Standard HTTP API -- ✅ **Colocated or standalone**: Flexible deployment -- ✅ **Multiple replicas**: High throughput - -**Difference from NeMo-RL**: Standalone service, not part of environment interface. - -### Comparison: Where Does LLM Judge Live? - -| Framework | Judge Location | Implementation | GPU Support | API | Best For | -|-----------|---------------|----------------|-------------|-----|----------| -| **Verifiers** | `Rubric` (separate from env) | `AsyncOpenAI` client | ❌ API-only | OpenAI | API-based judging | -| **NeMo-RL** | `RewardModelEnvironment` (IS the env) | Ray actor with Policy | ✅ Full GPU | Ray `.remote()` | Local GPU judge | -| **VERL** | `RewardModelManager` (standalone) | HTTP server + router | ✅ Full GPU | HTTP (OpenAI-compatible) | Standalone service | -| **OpenEnv** | Environment (implicit) | Not shown in examples | ⚠️ Depends on impl | Depends | Rule-based rewards | - -### Proposed Design for Forge - -**Option 1: Rubric Pattern (API-based judge)** - Similar to Verifiers - -```python -from openai import AsyncOpenAI -from forge.data.rewards import BaseReward - -class LLMJudgeReward(BaseReward): - """Reward function using LLM judge via API.""" - - def __init__( - self, - judge_model: str = "gpt-4.1-mini", - judge_client: AsyncOpenAI | None = None, - judge_prompt: str = DEFAULT_PROMPT, - ): - self.judge_model = judge_model - self.judge_client = judge_client or AsyncOpenAI() - self.judge_prompt = judge_prompt - - async def evaluate_response( - self, - prompt: str, - response: str, - target: str, - ) -> float: - """Call LLM API to judge response.""" - judge_input = self.judge_prompt.format( - question=prompt, - answer=target, - response=response - ) - - completion = await self.judge_client.chat.completions.create( - model=self.judge_model, - messages=[{"role": "user", "content": judge_input}], - temperature=0.0, - max_tokens=10, - ) - - judge_output = completion.choices[0].message.content.lower() - return 1.0 if "yes" in judge_output else 0.0 - -# Usage in apps/grpo/main.py: -reward_actor = LLMJudgeReward( - judge_model="gpt-4.1-mini", - judge_client=AsyncOpenAI(api_key=os.getenv("OPENAI_API_KEY")) -) - -# During rollout -episode.reward = await reward_actor.evaluate_response( - prompt=prompt, - response=response.text, - target=target -) -``` - -**Advantages**: -- ✅ Minimal changes to existing `apps/grpo/main.py` -- ✅ Works with any OpenAI-compatible API -- ✅ Simple to implement - -**Limitations**: -- ❌ Requires API access (cost, latency) -- ❌ Cannot use local Forge actors - ---- - -**Option 2: Forge Actor Judge (Local GPU)** ⭐ **RECOMMENDED** - -```python -from dataclasses import dataclass -from forge.controller import ForgeActor -from monarch.actor import endpoint -from vllm.transformers_utils.tokenizer import get_tokenizer - -@dataclass -class LLMJudgeActor(ForgeActor): - """LLM judge running on GPU via Forge actor.""" - - model_name: str = "Skywork/Skywork-Reward-V2-Qwen3-0.6B" - engine_args: dict = field(default_factory=dict) - - def __post_init__(self): - # Initialize vLLM engine on GPU (similar to Generator) - from vllm.v1.engine import EngineCoreRequest - self.tokenizer = get_tokenizer(self.model_name) - # ... initialize vLLM engine (see Generator actor) - - @endpoint(async_mode=True) - async def judge_trajectory( - self, - messages: list[dict], - ground_truth: str | None = None - ) -> float: - """ - Judge a full trajectory (multi-turn conversation). - - Args: - messages: Conversation history (OpenAI format) - ground_truth: Expected answer (optional) - - Returns: - Reward score (float) - """ - # Format judge prompt - judge_prompt = self._format_judge_prompt(messages, ground_truth) - - # Generate with vLLM - response = await self.generate(judge_prompt, max_tokens=10) - - # Parse response to reward - reward = self._parse_reward(response.text) - return reward - - def _format_judge_prompt(self, messages, ground_truth): - # Extract final response - final_response = messages[-1]["content"] - - if ground_truth: - return f"""Given the conversation and ground truth, rate the quality of the final answer. - -Conversation: -{self._format_messages(messages)} - -Ground Truth: {ground_truth} - -Rate from 0.0 (incorrect) to 1.0 (perfect). Respond with just a number.""" - else: - return f"""Rate the quality of this conversation from 0.0 (poor) to 1.0 (excellent). - -Conversation: -{self._format_messages(messages)} - -Respond with just a number between 0.0 and 1.0.""" - - def _parse_reward(self, text: str) -> float: - """Extract numeric reward from judge output.""" - import re - match = re.search(r'(\d+\.?\d*)', text) - if match: - reward = float(match.group(1)) - return max(0.0, min(1.0, reward)) # Clamp to [0, 1] - return 0.0 # Default if parsing fails - -# Setup in apps/grpo/main.py: -llm_judge = LLMJudgeActor( - model_name="Skywork/Skywork-Reward-V2-Qwen3-0.6B", - engine_args={ - "model": "Skywork/Skywork-Reward-V2-Qwen3-0.6B", - "tensor_parallel_size": 1, - "dtype": "bfloat16", - } -) - -# During multi-turn rollout (after episode completes): -episode.reward = await llm_judge.judge_trajectory.route( - messages=messages, # Full conversation - ground_truth=task.target # Optional -) -``` - -**Advantages**: -- ✅ **GPU acceleration**: vLLM on local GPUs -- ✅ **Consistent with Forge**: Uses Monarch actors like Generator -- ✅ **Batch inference**: Can judge multiple trajectories in parallel -- ✅ **No API costs**: Runs locally - ---- - -**Option 3: Hybrid (API + Local)** - -Allow users to choose via config: - -```python -# apps/grpo/main.py - -if config.reward.type == "llm_judge_api": - reward_actor = LLMJudgeReward( - judge_model=config.reward.model, - judge_client=AsyncOpenAI(api_key=config.reward.api_key) - ) -elif config.reward.type == "llm_judge_local": - reward_actor = LLMJudgeActor( - model_name=config.reward.model, - engine_args=config.reward.engine_args - ) -elif config.reward.type == "rule_based": - reward_actor = MathReward() # Existing -else: - raise ValueError(f"Unknown reward type: {config.reward.type}") - -# Unified interface: -episode.reward = await reward_actor.evaluate_response.route(...) -``` - -### When to Use Each Pattern - -| Pattern | When to Use | Example | -|---------|------------|---------| -| **API-based (Verifiers)** | Quick experiments, proprietary models (GPT-4) | Research prototyping | -| **Local GPU actor (NeMo-RL)** | Production, custom models, cost-sensitive | Training at scale | -| **Standalone service (VERL)** | Shared judge across multiple training jobs | Multi-user cluster | -| **Rule-based** | Deterministic rewards (math, code correctness) | GSM8K, MBPP | - -### Key Takeaways - -1. **Verifiers separates reward (Rubric) from environment** - clean abstraction -2. **NeMo-RL treats reward model as environment** - unified interface -3. **VERL uses standalone HTTP service** - good for sharing across jobs -4. **Forge should support both API and local GPU judges** - flexibility -5. **LLM judge = just another Forge actor** - consistent with Generator pattern - ---- - -## References - Topic 3 - -### Verifiers (API-based) -- `verifiers/rubrics/judge_rubric.py:31-145` - `JudgeRubric` implementation -- `verifiers/rubrics/rubric.py` - Base `Rubric` class -- `verifiers/envs/tool_env.py` - How rubric is used in environment - -### NeMo-RL (GPU actor) -- `RL/nemo_rl/environments/reward_model_environment.py:71-256` - Reward model as environment -- `RL/nemo_rl/models/policy/lm_policy.py` - Policy wrapper for reward models -- `RL/nemo_rl/distributed/virtual_cluster.py` - GPU resource management - -### VERL (Standalone service) -- `verl/verl/experimental/reward/reward_model.py:32-137` - `RewardModelManager` -- `verl/verl/experimental/reward/router/` - HTTP router implementation -- `verl/verl/workers/rollout/replica.py` - Rollout replica servers - -### OpenEnv -- `OpenEnv/src/core/client_types.py` - `StepResult` with reward field -- `OpenEnv/examples/` - Various examples with rule-based rewards -- No LLM-as-a-judge examples found - -### Forge (Existing Patterns) -- `src/forge/actors/generator.py` - Generator actor (template for judge actor) -- `apps/grpo/main.py:385-398` - Current reward computation -- `forge/data/rewards.py` - `MathReward`, `ThinkingReward` (rule-based) - ---- - -## Open Questions - -After completing this research, here are remaining design questions: - -1. **Multi-environment composition**: If a task needs websearch AND coding, should we: - - Create a composite environment that manages both? (Tinker `EnvGroupBuilder`) - - Route to different environments sequentially? (NeMo-RL `task_to_env`) - - Allow environments to call other environments? (Not seen in any framework) - -2. **GPU environment scaling**: For 100 coding environments on 8 GPUs: - - Should each environment be a separate Forge actor? (High overhead) - - Should we pool environments and route requests? (More complex) - - Can Monarch handle 100 concurrent actors efficiently? - -3. **LLM judge batching**: When judging 64 trajectories: - - Should judge actor batch internally? (More efficient) - - Should caller batch before calling judge? (More flexible) - - How to handle variable-length conversations? - -4. **Reward timing**: When does judging happen? - - After each turn? (Per-step rewards, like OpenEnv) - - After full episode? (Sparse reward, like current GRPO) - - Both? (Hybrid approach) - -5. **Environment lifecycle with Forge actors**: - - How to properly initialize/shutdown Docker environments wrapped as actors? - - Should `ForgeOpenEnvWrapper` create Docker containers on `__post_init__` or lazily? - - How to handle Docker container cleanup when actor dies? - ---- - -*Research completed for all 3 topics.* diff --git a/brainstorming_forge_tau/changes/brainstorming/3_actor_env_judge_v2.md b/brainstorming_forge_tau/changes/brainstorming/3_actor_env_judge_v2.md deleted file mode 100644 index 3d4e7a4bc..000000000 --- a/brainstorming_forge_tau/changes/brainstorming/3_actor_env_judge_v2.md +++ /dev/null @@ -1,875 +0,0 @@ -# Multi-Environment Management for Forge + OpenEnv (CPU Only) - -**Goal:** Enable >1 concurrent rollouts with tool execution using CPU-based OpenEnv environments. - -**Key Principle:** Keep data and environment separate. Dataset provides tasks, environments provide tool execution. - ---- - -## Problem Statement - -From `3_5_ideal_state.md`, a single task needs N rollouts (group_size): - -```python -# Need G rollouts for same task -for _ in range(group_size): # e.g., G=8 - episode = await play_task(task_prompt, tool_schemas, env, max_turns) -``` - -**Issue:** If we have 1 environment and play tasks sequentially, we waste time. Environments can execute tools while LLM generates responses. - -**Blackjack approach:** Creates env client per game, plays sequentially. Works but inefficient for tool calling. - ---- - -## Proposed Solution: Environment Pool with Async Routing - -Create a pool of N environment instances and route requests to available environments. - -### Architecture - -``` -┌──────────────┐ -│ DataLoader │ ──→ tasks (prompt, task_type) -└──────────────┘ - │ - ↓ -┌──────────────────────────────────────┐ -│ Environment Pool │ -│ ┌─────┐ ┌─────┐ ┌─────┐ ┌─────┐ │ -│ │Env 1│ │Env 2│ │Env 3│ │Env 4│ │ -│ └─────┘ └─────┘ └─────┘ └─────┘ │ -│ ↓ ↓ ↓ ↓ │ -│ [free] [busy] [free] [busy] │ -└──────────────────────────────────────┘ - │ - ↓ - Tool execution -``` - -**Core concept:** Maintain a queue of available environments. When a rollout needs tools, acquire an env from the pool, use it, then release it back. - ---- - -## Implementation - -### 1. Environment Pool Manager - -```python -import asyncio -from typing import Dict, List -from openenv.core.http_env_client import HTTPEnvClient - -class EnvPool: - """Pool of OpenEnv instances for concurrent tool execution.""" - - def __init__( - self, - env_type: str, # e.g., "coding", "websearch" - docker_image: str, - pool_size: int = 4, - ): - self.env_type = env_type - self.docker_image = docker_image - self.pool_size = pool_size - - # Pool of environment clients - self.envs: List[HTTPEnvClient] = [] - self.available = asyncio.Queue() - - async def initialize(self): - """Create pool of environment instances.""" - # Start environment servers (separate Docker containers) - for i in range(self.pool_size): - port = 8000 + i - env = await self._create_env(port) - self.envs.append(env) - await self.available.put(env) - - async def _create_env(self, port: int) -> HTTPEnvClient: - """Create single environment instance.""" - # OpenEnv pattern: from_docker_image starts container + returns client - env = HTTPEnvClient.from_docker_image( - self.docker_image, - ports={port: 8000}, # Map host:container ports - name=f"{self.env_type}_env_{port}" - ) - return env - - async def acquire(self) -> HTTPEnvClient: - """Get available environment from pool (blocks if all busy).""" - return await self.available.get() - - async def release(self, env: HTTPEnvClient): - """Return environment to pool.""" - await self.available.put(env) - - async def shutdown(self): - """Cleanup all environments.""" - for env in self.envs: - env.close() -``` - -**Key points:** -- Each environment = separate Docker container on different port -- `acquire()` blocks if all envs busy (backpressure) -- Simple queue-based routing - ---- - -### 2. Modified play_task() with Pool - -```python -async def play_task( - policy: Generator, - task_prompt: str, - env_pool: EnvPool, # Changed from single env - max_turns: int = 10 -) -> Episode: - """Play one task using environment from pool.""" - - # Acquire environment from pool - env = await env_pool.acquire() - - try: - # Reset environment to get tools - result = env.reset() - tool_schemas = result.observation.tools - - messages = [{"role": "user", "content": task_prompt}] - all_tokens = [] - all_logprobs = [] - response_mask = [] - - done = False - turn = 0 - - while not done and turn < max_turns: - # 1. Generate response - prompt = tokenizer.apply_chat_template( - messages, - tools=tool_schemas, - add_generation_prompt=True, - tokenize=False - ) - response = await policy.generate.route(prompt, n=1) - - # 2. Parse tool calls - tool_calls = parse_tool_calls(response.text) - - if tool_calls: - # Add assistant message - messages.append({ - "role": "assistant", - "content": response.text, - "tool_calls": tool_calls - }) - - # Collect LLM tokens - all_tokens.extend(response.token_ids) - all_logprobs.extend(response.logprobs) - response_mask.extend([1] * len(response.token_ids)) - - # 3. Execute tools with acquired env - tool_results = [] - for tc in tool_calls: - result = env.step(ToolCallAction( - name=tc["name"], - args=tc["args"] - )) - tool_results.append(result) - - # Add tool results to conversation - for tr in tool_results: - tool_content = tr.observation.content - tool_tokens = tokenizer.encode(tool_content, add_special_tokens=False) - tool_tokens = tool_tokens[:256] # Truncate - - messages.append({ - "role": "tool", - "content": tokenizer.decode(tool_tokens) - }) - - # Collect tool tokens (don't train on these) - all_tokens.extend(tool_tokens) - all_logprobs.extend([0.0] * len(tool_tokens)) - response_mask.extend([0] * len(tool_tokens)) - - done = tool_results[-1].done if tool_results else False - else: - # Final answer - messages.append({"role": "assistant", "content": response.text}) - all_tokens.extend(response.token_ids) - all_logprobs.extend(response.logprobs) - response_mask.extend([1] * len(response.token_ids)) - done = True - - turn += 1 - - # Get final reward - final_reward = env.get_reward() if hasattr(env, 'get_reward') else 0.0 - - # Create episode - completion = Completion( - prompt_ids=None, - token_ids=torch.tensor(all_tokens), - logprobs=torch.tensor(all_logprobs), - text=tokenizer.decode(all_tokens), - generator_version=0 - ) - - episode = Episode( - episode_id=str(uuid.uuid4()), - pad_id=tokenizer.pad_token_id, - request_len=0, - response_len=len(all_tokens), - target=None, - completion=completion, - response_mask=torch.tensor(response_mask), - ref_logprobs=None, - reward=final_reward, - advantage=None, - metadata={"num_turns": turn, "truncated": turn >= max_turns} - ) - - return episode - - finally: - # Always release environment back to pool - await env_pool.release(env) -``` - -**Key changes:** -- Takes `env_pool` instead of single `env` -- Acquires env at start, releases at end (in finally block) -- Environment lifecycle managed by pool, not play_task - ---- - -### 3. Rollout Loop with Pool - -```python -async def continuous_rollouts( - policy: Generator, - dataloader: DataLoader, - env_pools: Dict[str, EnvPool], # Map task_type -> pool - replay_buffer: ReplayBuffer, - group_size: int = 8 -): - """Continuous rollout loop with environment pools.""" - - while True: - # Sample task from dataloader - task = await dataloader.sample.call_one() - - # Get pool for this task type - env_pool = env_pools[task.task_type] - - # Play G rollouts concurrently using pool - rollout_tasks = [ - play_task( - policy=policy, - task_prompt=task.prompt, - env_pool=env_pool, - max_turns=10 - ) - for _ in range(group_size) - ] - - # Wait for all rollouts to complete - episodes = await asyncio.gather(*rollout_tasks) - - # Add to replay buffer - for episode in episodes: - await replay_buffer.add.call_one(episode) -``` - -**Key points:** -- Uses `asyncio.gather()` to run rollouts concurrently -- Pool handles contention - if all envs busy, rollouts wait -- Each rollout acquires/releases env independently - ---- - -### 4. Setup and Configuration - -```python -# Main setup -async def main(): - # 1. Create services - policy = Generator(...) - trainer = TitanTrainer(...) - replay_buffer = ReplayBuffer(...) - dataloader = DataLoader(Tau2BenchDataset(...)) - - # 2. Create environment pools - env_pools = {} - - # Coding environment pool (4 instances) - coding_pool = EnvPool( - env_type="coding", - docker_image="tau2bench/coding:latest", - pool_size=4 - ) - await coding_pool.initialize() - env_pools["coding"] = coding_pool - - # WebSearch environment pool (4 instances) - websearch_pool = EnvPool( - env_type="websearch", - docker_image="tau2bench/websearch:latest", - pool_size=4 - ) - await websearch_pool.initialize() - env_pools["websearch"] = websearch_pool - - # 3. Start rollout and training loops - try: - rollout_task = asyncio.create_task( - continuous_rollouts(policy, dataloader, env_pools, replay_buffer, group_size=8) - ) - training_task = asyncio.create_task( - continuous_training(trainer, replay_buffer, policy) - ) - - await asyncio.gather(rollout_task, training_task) - finally: - # Cleanup - for pool in env_pools.values(): - await pool.shutdown() -``` - ---- - -## Performance Analysis - -### Pool Size vs Concurrency - -| Pool Size | Group Size | Behavior | -|-----------|------------|----------| -| 1 | 8 | Sequential (like blackjack) - slow | -| 4 | 8 | 4 concurrent, 4 wait - better | -| 8 | 8 | All concurrent - optimal | -| 16 | 8 | Wastes resources (idle envs) | - -**Recommendation:** Pool size ≈ group_size for optimal throughput. - -### Bottleneck Analysis - -Where does time go in a rollout? - -``` -┌─────────────────┐ -│ LLM generation │ ~200-500ms per turn -└─────────────────┘ - ↓ -┌─────────────────┐ -│ Tool execution │ ~50-200ms per tool call -└─────────────────┘ -``` - -**Key insight:** LLM generation and tool execution can overlap across different rollouts! - -Example timeline with pool_size=4, group_size=8: - -``` -Time → -Env1: [R1-tool] ─────── [R5-tool] ─────── -Env2: ────── [R2-tool] ─────── [R6-tool] -Env3: [R3-tool] ─────── [R7-tool] ─────── -Env4: ────── [R4-tool] ─────── [R8-tool] - -R1-R4 execute concurrently, R5-R8 wait then execute -``` - -vs Sequential (pool_size=1): -``` -Env1: [R1] [R2] [R3] [R4] [R5] [R6] [R7] [R8] -``` - -**Speedup:** ~3-4x with pool_size=4. - ---- - -## Open Questions - -1. **Docker startup cost:** How long does `from_docker_image()` take? If slow, pre-warm pool at startup. If fast, create on-demand. - -2. **Environment cleanup:** Should envs be reused across tasks or reset? OpenEnv allows `env.reset()` to clear state. - -3. **Pool size tuning:** How to determine optimal pool size? Depends on tool execution time vs generation time. - -4. **Mixed task types:** If batch has websearch + coding tasks, need both pools. Does this waste resources? - -5. **Error handling:** If env crashes, should pool recreate it or fail? Need retry logic. - ---- - -## Comparison to Actor-Based Approach - -**Environment Pool (this doc):** -- ✅ Simple implementation -- ✅ Works with existing OpenEnv -- ✅ CPU-only, no GPU complexity -- ❌ Limited to single machine (Docker on localhost) -- ❌ Manual pool management - -**Actor-Based (future):** -- ✅ Distributed across machines -- ✅ GPU support for environments -- ✅ Fault tolerance (Forge actors) -- ❌ More complex -- ❌ Requires Forge actor infrastructure - ---- - -## Next Steps - -1. **Implement EnvPool class** in `src/forge/envs/pool.py` -2. **Test with single task type** (e.g., coding only) -3. **Measure speedup** vs sequential (blackjack approach) -4. **Tune pool size** based on profiling -5. **Add error handling** for env crashes - -Once CPU pooling works well, consider scaling to actors for distributed execution. - - -# Actor-Based Environment Management: Do We Need Sticky Sessions? - -**Context:** We want multiple environments for concurrent rollouts. Should we use manual pooling (doc 9) or Forge actors? - ---- - -## Understanding State and Sessions - -From `2_Forge_Internals.md`, sticky sessions solve this problem: - -```python -# WITHOUT SESSIONS: Each .route() goes to different replica -await counter_service.increment.route() # → replica 2 -await counter_service.increment.route() # → replica 1 -await counter_service.increment.route() # → replica 3 -# Result: Inconsistent state across replicas - -# WITH SESSIONS: All calls go to same replica -async with counter_service.session(): - await counter_service.reset.route() # → replica 2 - await counter_service.increment.route() # → replica 2 - await counter_service.increment.route() # → replica 2 -# Result: Consistent state within session -``` - -**When needed:** Multi-turn conversations (KV cache), stateful computations. - ---- - -## Environment State Analysis - -### Blackjack: Per-Game State - -From `grpo_blackjack/grpo_utils.py:384-492`: - -```python -async def play_game(...): - env = OpenSpielEnv(base_url=server_url) # Fresh client - - try: - result = env.reset() # Initialize game state - done = False - step_num = 0 - - while not done and step_num < 10: - # Generate action - responses = await policy.generate.route(prompt) - action_id = parse_action(responses[0].text, obs.legal_actions) - - # Execute in same environment - result = env.step(OpenSpielAction(action_id=action_id, game_name="blackjack")) - done = result.done - step_num += 1 - - final_reward = result.reward # Game outcome - return all_step_results - finally: - env.close() # Cleanup -``` - -**State characteristics:** -- **Stateful within game:** Cards, player hand, dealer hand, score -- **Stateless between games:** Each `play_game()` creates fresh env -- **State duration:** Single game (3-10 steps) - -### Coding Env: Per-Task State - -Similar pattern for code execution: - -```python -async def play_task(...): - env = CodingEnv(...) # Fresh environment - - try: - result = env.reset() # Initialize execution context - - while not done and turn < max_turns: - # Generate code/action - response = await policy.generate.route(prompt) - tool_calls = parse_tool_calls(response.text) - - # Execute in same environment - for tc in tool_calls: - result = env.step(ToolCallAction(name=tc["name"], args=tc["args"])) - - final_reward = env.get_reward() - return episode - finally: - env.close() -``` - -**State characteristics:** -- **Stateful within task:** Variables, file system, execution history -- **Stateless between tasks:** Each task gets fresh env -- **State duration:** Single task (1-15 turns) - ---- - -## Question: Do We Need Sticky Sessions? - -**Short answer:** No, if we acquire env at start of task and release at end. - -**Why?** -1. Each task uses ONE environment throughout (no load balancing mid-task) -2. We're not doing `.route()` to envs during the task -3. The pool/actor handles routing at task level, not step level - -**Comparison:** - -| Pattern | Load Balancing Level | Needs Sessions? | -|---------|----------------------|-----------------| -| **Policy service** | Per generation call | Yes (for multi-turn with KV cache) | -| **Environment pool** | Per task | No (task acquires one env) | -| **Environment service** | Per step (if we .route()) | Yes (to maintain task state) | - ---- - -## Three Approaches to Environment Management - -### Approach 1: Manual Pool (Doc 9) - Simplest - -```python -class EnvPool: - def __init__(self, docker_image: str, pool_size: int): - self.available = asyncio.Queue() - - async def acquire(self) -> HTTPEnvClient: - return await self.available.get() # Blocks if all busy - - async def release(self, env: HTTPEnvClient): - await self.available.put(env) - -# Usage -async def play_task(env_pool: EnvPool): - env = await env_pool.acquire() # Get one env - try: - # Use env for entire task - while not done: - result = env.step(action) - finally: - await env_pool.release(env) # Return to pool -``` - -**Pros:** -- ✅ Simple, explicit control -- ✅ No sticky sessions needed -- ✅ Works with existing OpenEnv - -**Cons:** -- ❌ Manual pool management -- ❌ No fault tolerance -- ❌ Not distributed - ---- - -### Approach 2: Environment as Actor (No Sessions) - Recommended - -Each environment = separate actor. Acquire at task start, use for full task. - -```python -from forge.controller import ForgeActor -from monarch.actor import endpoint - -@dataclass -class CodingEnvActor(ForgeActor): - """Single coding environment as Forge actor.""" - - docker_image: str = "tau2bench/coding:latest" - - def __post_init__(self): - from openenv.envs.coding_env import CodingEnv - self.env = CodingEnv.from_docker_image(self.docker_image) - - @endpoint(async_mode=True) - async def reset(self): - """Reset environment for new task.""" - result = self.env.reset() - return result - - @endpoint(async_mode=True) - async def step(self, action): - """Execute action in environment.""" - result = self.env.step(action) - return result - - @endpoint - async def get_reward(self) -> float: - """Get final reward for task.""" - return self.env.get_reward() - - @endpoint - def close(self): - """Cleanup environment.""" - self.env.close() - - -# Create pool of environment actors -env_actors = await asyncio.gather(*[ - CodingEnvActor.options(procs=1).as_actor( - docker_image="tau2bench/coding:latest" - ) - for _ in range(pool_size) -]) - -# Create simple pool manager -class ActorPool: - def __init__(self, actors: list): - self.available = asyncio.Queue() - for actor in actors: - self.available.put_nowait(actor) - - async def acquire(self): - return await self.available.get() - - async def release(self, actor): - await self.available.put(actor) - -env_pool = ActorPool(env_actors) - -# Usage in play_task -async def play_task(env_pool: ActorPool): - env_actor = await env_pool.acquire() # Get one actor - - try: - # Reset for new task - await env_actor.reset.call_one() - - # Use actor for entire task - while not done: - result = await env_actor.step.call_one(action) - - final_reward = await env_actor.get_reward.call_one() - return episode - finally: - await env_pool.release(env_actor) # Return to pool -``` - -**Pros:** -- ✅ Clean Forge integration -- ✅ Actor fault tolerance (automatic restart) -- ✅ No sessions needed (acquire/release pattern) -- ✅ Explicit actor per task - -**Cons:** -- ❌ Still manual pool management (ActorPool class) -- ❌ Not using service abstraction -- ❌ More boilerplate than both alternatives - -**When to use:** Don't use this - Service + sessions is better (automatic pool management). - ---- - -### Approach 3: Environment as Service WITH Sessions - Most Complex - -Each task creates a session to stick to one environment replica. - -```python -# Create environment service -env_service = await CodingEnvActor.options( - procs=1, - num_replicas=4 # 4 environment replicas -).as_service(docker_image="tau2bench/coding:latest") - -# Usage in play_task - WITH SESSION -async def play_task(env_service): - # Session ensures all calls go to same replica - async with env_service.session(): - await env_service.reset.route() # → replica 2 - - while not done: - # All steps hit same replica = maintains state - result = await env_service.step.route(action) # → replica 2 - - final_reward = await env_service.get_reward.route() # → replica 2 - # Session ends, replica available for other tasks -``` - -**Pros:** -- ✅ Uses service abstraction -- ✅ Automatic load balancing across replicas -- ✅ Fault tolerance - -**Cons:** -- ⚠️ Must use `async with service.session()` (but this is simpler than manual pool!) -- ⚠️ Slightly more overhead than manual pool - -**When to use:** Preferred over Actor Pool (Approach 2) because service handles replica management automatically. - ---- - -## Recommendation: Manual Pool vs Service + Sessions - -**Key insight:** Service + sticky sessions = automatic pool management! No need for manual ActorPool. - -### When to use Manual Pool (Approach 1): -- ✅ Simplest implementation (no actors) -- ✅ Good for CPU-only, single machine -- ✅ Minimal overhead -- ❌ No fault tolerance -- ❌ No distributed execution - -### When to use Service + Sessions (Approach 3): -- ✅ Fault tolerance (automatic actor restart) -- ✅ Automatic load balancing (service picks replica) -- ✅ Session handles routing (no manual pool!) -- ✅ Distributed execution ready -- ❌ More setup overhead -- ⚠️ Need to remember `async with service.session()` - -**Approach 2 (Actor Pool) is unnecessary** - it's manual pool management with actors, which is more complex than both alternatives. - ---- - -## Sticky Sessions: When Actually Needed? - -**Needed:** -1. **Multi-turn LLM with KV cache:** - ```python - async with policy.session(): - r1 = await policy.generate.route(turn1) # Cache hit - r2 = await policy.generate.route(turn1 + r1) # Cache hit - ``` - -2. **Stateful computation across multiple service calls:** - ```python - async with counter_service.session(): - await counter_service.increment.route() - await counter_service.increment.route() - ``` - -**NOT needed:** -1. **Single environment for entire task:** - ```python - env = await env_pool.acquire() # Get one - # Use env throughout task - await env_pool.release(env) # Return - ``` - -2. **Fresh state per call:** - ```python - # Each call independent - reward = await reward_actor.evaluate_response.route(...) - ``` - ---- - -## State Analysis: Blackjack vs Coding - -| Aspect | Blackjack | Coding Env | -|--------|-----------|------------| -| **State holder** | OpenSpiel server | Docker container | -| **State content** | Cards, scores, history | Variables, files, stdout | -| **State duration** | 3-10 steps (one game) | 1-15 turns (one task) | -| **State between tasks** | None (fresh game) | None (fresh container) | -| **Needs sessions?** | No | No | -| **Why not?** | Acquire env once per game | Acquire env once per task | - -**Key insight:** Both are stateful WITHIN a task but stateless BETWEEN tasks. Since we acquire environment at task start and hold it until task end, we don't need sessions. - ---- - -## Implementation Recommendation - -**For now (CPU only, simple):** -Use manual pool from Doc 9. It's clear, explicit, and sufficient. - -**Future (GPU, distributed):** -Convert to actor pool when you need: -- GPU environments (Forge actors can claim GPUs) -- Fault tolerance -- Remote execution - -**Don't use service + sessions for environments** unless you have a specific need for automatic load balancing at the step level (unlikely). - ---- - -## Code Example: Manual Pool vs Service + Sessions - -```python -# OPTION A: Manual pool (simplest, no actors) -class EnvPool: - def __init__(self, docker_image: str, pool_size: int): - self.available = asyncio.Queue() - for i in range(pool_size): - env = HTTPEnvClient.from_docker_image(docker_image, port=8000+i) - self.available.put_nowait(env) - -env_pool = EnvPool("tau2bench/coding:latest", pool_size=4) - -async def play_task(): - env = await env_pool.acquire() # Get env from queue - await env.reset() - await env.step(action) - await env_pool.release(env) # Return to queue - -# OPTION B: Service with sessions (automatic pool management) -env_service = await CodingEnvActor.options( - procs=1, - num_replicas=4 # Service manages 4 replicas -).as_service(docker_image="tau2bench/coding:latest") - -async def play_task(): - # Session automatically picks a replica and sticks to it - async with env_service.session(): - await env_service.reset.route() # → replica N - await env_service.step.route(action) # → same replica N - # Session ends, replica automatically becomes available -``` - -**Comparison:** -- **Option A:** Manual queue management, explicit acquire/release -- **Option B:** Service manages replicas, session handles routing - no manual pool needed! - -**For your use case (OpenSpiel with state):** Either works, but Option B is cleaner once you're using actors. - ---- - -## Summary - -| Question | Answer | -|----------|--------| -| **Do environments have state?** | Yes, within a task (game/episode) - OpenSpiel holds cards, score, etc. | -| **Do we need sticky sessions?** | Only if using service (Approach 3) - session ensures same replica | -| **Best approach for CPU-only?** | Manual pool (Approach 1) - simplest | -| **Best approach with actors?** | Service + sessions (Approach 3) - automatic pool management | -| **What about Actor Pool (Approach 2)?** | Skip it - unnecessary manual work | - -**Key insight from your question:** Yes, sticky sessions ensure same env/replica, eliminating need for manual ActorPool! - -```python -# Service + session replaces manual pool: -async with env_service.session(): # Service picks replica, session sticks to it - await env_service.reset.route() # → replica 2 (has state) - await env_service.step.route(a1) # → replica 2 (state preserved) - await env_service.step.route(a2) # → replica 2 (state preserved) -# Session ends, replica 2 becomes available for other tasks -``` - -**Next step:** Start with manual pool (simplest). Use service + sessions if you need actor benefits. diff --git a/brainstorming_forge_tau/changes/config_changes.md b/brainstorming_forge_tau/changes/config_changes.md deleted file mode 100644 index e69de29bb..000000000 diff --git a/brainstorming_forge_tau/simplification_ideas_token_accumulation.md b/brainstorming_forge_tau/simplification_ideas_token_accumulation.md deleted file mode 100644 index 036d96d39..000000000 --- a/brainstorming_forge_tau/simplification_ideas_token_accumulation.md +++ /dev/null @@ -1,175 +0,0 @@ -# Simplification Ideas: Token Accumulation in Multi-Turn RL Rollouts - -## Problem Statement - -Our current implementation in `clean_code.py` has significant complexity: - -### Current Complexity Issues: - -1. **Multiple `apply_chat_template` calls before generation:** - - Call #1 (line 71): Extract new prompt tokens WITHOUT generation prompt - - Call #2 (line 88): Check budget WITH generation prompt - - Call #3 (line 102): Create prompt text WITH generation prompt (for actual generation) - - **Why this is complex:** We tokenize the same conversation 3 times with slightly different settings before we even generate. - -2. **Multiple `apply_chat_template` calls after generation:** - - Call #4 (line 120): Extract assistant tokens via prefix matching - - Call #5 (line 166): Check if env obs would exceed budget - - Call #6 (line 179): Extract env obs tokens via prefix matching - - **Total:** Up to 6 `apply_chat_template` calls per turn! - -3. **Mismatch between `messages` and `all_tokens`:** - When truncation occurs: - - `messages[-1]` contains FULL observation content - - `all_tokens` contains TRUNCATED version - - This mismatch is intentional but confusing. - -4. **Cannot use `response.token_ids` directly:** - - `response.token_ids` = [3 tokens] (just content like "HIT") - - `assistant_tokens` = [7 tokens] (includes `<|im_start|>assistant\n` + content + `<|im_end|>\n`) - - Must re-tokenize full conversation to get role headers. - -## What We're Trying To Do - -**Goal:** Accumulate tokens incrementally during multi-turn RL episodes while: -1. Tracking budget (max_seq_len constraint) -2. Detecting truncation (generation or env observation) -3. Maintaining correct token sequences for training (all special tokens included) -4. Supporting variable-length episodes (env can end at any turn) - -**Key Constraint:** `all_token_ids` must exactly match what `tokenizer.apply_chat_template(messages, ...)` would produce if called at the end. This is critical for: -- Reference model scoring (needs identical token sequence) -- Training (response_mask must align with actual tokens) - -## Relevant Documents to Review - -### Internal Documentation: -- `/home/felipemello/forge/brainstorming_forge_tau/changes/3_truncation_v6_token_accumulation_insights.md` - - Analysis of how TRL, VERL, NeMo-RL, Verifiers, and Tinker handle token accumulation - - Full library paths and code references - -- `/home/felipemello/forge/brainstorming_forge_tau/changes/3_truncation_v5_simplified_env.md` - - Previous attempt (incorrect approach using `tokenizer.encode()`) - - Shows what NOT to do - -- `/home/felipemello/forge/test_simple_vllm.py` - - Comprehensive test suite validating current approach - - 5 test cases covering all truncation scenarios - -### Key Code References: -- Current implementation: `/home/felipemello/forge/clean_code.py` -- Generator: `/home/felipemello/forge/src/forge/actors/generator.py` -- GRPO trainer: `/home/felipemello/forge/apps/grpo/main.py` - -## Research Questions for Future Investigation - -**To be researched via subagents (NOT NOW - this is setup for future work):** - -### 1. How do other libraries handle this? - -**TRL (Transformers Reinforcement Learning):** -- Path: -- Questions: - - How does accumulate tokens in PPOTrainer? - - Do they use prefix matching or something else? - - How do they handle truncation? - - We know they use prefix matching (from v6 doc) - - How many tokenization calls do they make per turn? - - Do they have any optimizations we're missing? - -`/home/felipemello/forge/verl/` -`/home/felipemello/forge/trl/` -/home/felipemello/forge/prime-rl -/home/felipemello/forge/RL -/home/felipemello/forge/tinker-cookbook -/home/felipemello/forge/verifiers - -### 2. Can we avoid multiple tokenization calls? - -**Idea A: Cache tokenized results** -- After call #1, can we reuse those tokens for calls #2 and #3? -- Problem: Call #2 and #3 have `add_generation_prompt=True` -- Could we manually append generation prompt tokens instead of re-tokenizing? - -**Idea B: Tokenizer state/incremental tokenization** -- Does HF tokenizer support incremental tokenization? -- Can we tokenize just the new message and append? -- Problem: Chat template adds role headers that depend on position - -**Idea C: Pre-compute generation prompt tokens** -- Tokenize generation prompt once at start -- Manually append when needed -- Saves 2 tokenization calls per turn - -### 3. Can we use `response.token_ids` directly? - -**Question:** Why doesn't vLLM return the full assistant message tokens (with role headers)? - -**Investigate:** -- Is there a vLLM setting to include role headers in response? -- Do other inference engines (TGI, SGLang) include role headers? -- Could we modify Generator to add role headers to `response.token_ids`? - -**Benefits if possible:** -- Eliminate call #4 (assistant token extraction via prefix matching) -- Reduce complexity significantly - -### 4. Alternative token storage approach - -**Current:** `all_tokens` stores everything, `response_mask` indicates trainable -**Alternative:** Store separately? -- `prompt_tokens`: List of prompt token lists per turn -- `response_tokens`: List of response token lists per turn -- Reconstruct `all_tokens` when needed - -**Questions:** -- Would this simplify logic? -- Does it break compatibility with Episode schema? -- How would truncation work? - -### 5. Can we eliminate the messages/all_tokens mismatch? - -**Current issue:** When truncating env obs: -- `messages[-1]["content"]` = full text -- `all_tokens` = truncated tokens - -**Alternative approaches:** -- Always update message content to match truncated tokens -- Keep two separate message logs (full vs truncated) -- Accept the mismatch but document it better - -## How to Proceed with Research - -**When ready to investigate (FUTURE WORK):** - -1. **Launch exploration agents:** - -2. **Analyze findings:** - - Count tokenization calls in other libraries - - Identify any clever optimizations - - Check if our approach is unnecessarily complex - -3. **Prototype simplifications:** - - Test if proposed optimizations maintain correctness - - Validate with test_simple_vllm.py test suite - - Measure performance impact - -## Success Criteria - -A simplified implementation should: -1. ✅ Pass all 5 test cases in `test_simple_vllm.py` -2. ✅ Reduce number of `apply_chat_template` calls -3. ✅ Maintain exact token sequence correctness -4. ✅ Support all truncation scenarios -5. ✅ Be easier to understand and maintain - -## Notes - -- **Do NOT sacrifice correctness for simplicity** -- Token sequence MUST match `apply_chat_template` output exactly -- All truncation edge cases must still work -- Performance is secondary to correctness diff --git a/brainstorming_forge_tau/tutorials/1_tau2bench_overview.md b/brainstorming_forge_tau/tutorials/1_tau2bench_overview.md deleted file mode 100644 index 8fa665a90..000000000 --- a/brainstorming_forge_tau/tutorials/1_tau2bench_overview.md +++ /dev/null @@ -1,314 +0,0 @@ -# Part 1: Tau2Bench Overview - What Are We Building For? - -## 1.1 What is Tau2Bench? - -**Reference**: `tau2-bench/README.md`, `tau2-bench/src/tau2/evaluator/evaluator.py` - -Tau2Bench is a benchmark for evaluating conversational agents in customer service scenarios. It tests whether your RL-trained model can: -- Follow domain policies correctly -- Use tools appropriately (search databases, update records, etc.) -- Communicate effectively with users - -Example task: "Create a task called 'Important Meeting' for user_1 with description 'Quarterly planning' and deadline tomorrow." - -The agent must call `create_task(user_id="user_1", title="Important Meeting", ...)` with the right parameters, then confirm to the user. - -## 1.2 Tau2 Modes - -**Reference**: `tau2-bench/src/tau2/orchestrator.py:67-174` - -**Solo Mode** (Recommended for training): -- Agent works alone on tickets/tasks -- No user interaction -- Simpler, deterministic -- Use this for initial training - -**Normal Mode**: -- Agent + User Simulator (LLM playing customer) -- More realistic but harder - -## 1.3 Tau2 Task Structure - -**Reference**: Task files at `tau2-bench/data/tau2/domains/{domain}/tasks.json`, data model at `tau2-bench/src/tau2/data_model/tasks.py` - -Tasks are defined in JSON format: - -```json -{ - "id": "create_task_1", - "ticket": "User wants to create a task titled 'Important Meeting' for user_1", - "evaluation_criteria": { - "actions": [ - { - "action_id": "create_1", - "name": "create_task", - "arguments": { - "user_id": "user_1", - "title": "Important Meeting" - } - } - ], - "reward_basis": ["ACTION", "COMMUNICATE"] - } -} -``` - -Key fields: -- `ticket`: Initial task description -- `evaluation_criteria.actions`: Expected tool calls -- `reward_basis`: What to score (ACTION, ENV, COMMUNICATE, NL_ASSERTIONS) - -**NOTE ON EVAL**: In this case, evaluation is checking if the tool was called. In other cases, it may be having another LLM verify if the task was completed correctly. - -## 1.4 Tau2 Available Tools (Mock Domain) - -```python -# Mock domain tools for demonstration -tools = [ - { - "name": "create_task", - "description": "Create a new task", - "parameters": { - "user_id": "string", - "title": "string", - "description": "string (optional)", - "deadline": "string (optional)" - } - }, - { - "name": "update_task", - "description": "Update an existing task", - "parameters": { - "task_id": "string", - "status": "string (pending|completed|cancelled)" - } - }, - { - "name": "done", - "description": "Signal task completion", - "parameters": {} - } -] -``` - -**Production Domains**: Tau2Bench includes three main production domains with domain-specific tools, policies, and databases: -- **Airline**: Flight booking, modifications, cancellations (`tau2-bench/src/tau2/domains/airline/`) -- **Retail**: Product orders, returns, exchanges (`tau2-bench/src/tau2/domains/retail/`) -- **Telecom**: Technical support, bill payments, line management (`tau2-bench/src/tau2/domains/telecom/`) - -## 1.5 Example Multi-turn Interaction on Tau2 - -**Solo Mode Example:** - -``` -Turn 1: -Agent: Let me create that task for you. - create_task(user_id="user_1", title="Important Meeting", - description="Quarterly planning", deadline="2024-01-16") -Env: Task created with ID: task_123 - -Turn 2: -Agent: Task created successfully. Is there anything else you need? - done() -Env: Episode complete. -``` - -**Note**: `done()` signals episode end. In Normal Mode, users can also end with keywords like "bye", "thanks" (see `tau2-bench/src/tau2/orchestrator.py:171-174` for stop conditions) - -## 1.6 How Tau2 Scores Episodes - -**Reference**: Evaluation logic in `tau2-bench/src/tau2/evaluator/evaluator.py`, metrics in `tau2-bench/src/tau2/metrics/agent_metrics.py` - -Tau2Bench computes rewards based on multiple criteria: - -**1. ACTION Score** (0.0 or 1.0): -- Did agent call the right tools? -- With the right arguments (or subset via `compare_args`)? -- Order doesn't matter - -**2. ENV Score** (0.0 or 1.0): -- Is environment state correct? -- Database checks (e.g., task_id="task_2" has status="pending") - -**3. COMMUNICATE Score** (0.0 or 1.0): -- Did agent communicate required information to user? - -**4. NL_ASSERTIONS Score** (0.0 or 1.0): -- LLM-based evaluation of conversation quality (experimental) - -**Final Reward:** -```python -final_reward = ACTION_score * ENV_score * COMMUNICATE_score * NL_ASSERTIONS_score -``` - -**CRITICAL**: Episode must end with either: -- `AGENT_STOP`: Agent calls `done()` tool -- `USER_STOP`: User says stop keywords - -Otherwise: `reward = 0.0` regardless of actions! - -**Sparse Rewards**: You only get the final reward at episode end. Intermediate tool calls get `reward=0.0`. - ---- - -## 1.7 Tau2Bench Production Domains - -Tau2Bench includes three production-ready customer service domains. Each domain has its own policy, tools, database, and evaluation tasks. - -### Airline Domain - -**Location**: `tau2-bench/data/tau2/domains/airline/` -- **Tasks**: 50 tasks in `tasks.json` -- **Policy**: `policy.md` -- **Code**: `tau2-bench/src/tau2/domains/airline/tools.py` - -**What agents do**: Book, modify, and cancel flight reservations, handle refunds and compensation, manage baggage and travel insurance. - -**Example tasks**: -- Cancellation policy testing (refuse invalid cancellations) -- Membership verification for baggage allowance -- Compensation fraud detection -- Complex modifications (multiple changes at once) -- Multi-reservation management - -**Available tools**: -- `get_user_details()`, `get_reservation_details()` -- `search_flights()`, `book_flight()`, `modify_flight()`, `cancel_reservation()` -- `add_baggage()`, `get_compensation()` -- `transfer_to_human_agents()` - -**Key policy rules**: -- Basic economy flights cannot be modified after booking -- Cancellations only allowed if: within 24hrs of booking, airline cancelled, business flight, or insurance covers reason -- Max 24 hours confirmation required before database-modifying actions -- Travel insurance: $30/passenger, enables full refund for covered reasons - -**Rewards**: DB checks, ENV_ASSERTION, ACTION-based evaluation - -### Retail Domain - -**Location**: `tau2-bench/data/tau2/domains/retail/` -- **Tasks**: 114 tasks in `tasks.json` -- **Policy**: `policy.md` -- **Code**: `tau2-bench/src/tau2/domains/retail/tools.py` - -**What agents do**: Help customers return/exchange delivered orders, cancel/modify pending orders, manage payment methods and addresses, provide product information. - -**Example tasks**: -- Multi-item exchanges with specific options -- Conditional exchanges (fallback options if unavailable) -- Product information queries + multiple returns -- Pending order modifications (change color, material, etc.) -- Cross-order refunds (complex refunds across multiple orders) -- Selective returns (specific items from orders) -- Address modifications for pending orders - -**Available tools**: -- `find_user_id_by_name_zip()`, `find_user_id_by_email()` -- `get_order_details()`, `get_product_details()` -- `cancel_pending_order()`, `modify_pending_order_items()` -- `return_delivered_order_items()`, `exchange_delivered_order_items()` -- `modify_pending_order_payment()`, `modify_user_default_address()` -- `transfer_to_human_agents()` - -**Key policy rules**: -- User authentication required via email OR name+zip before any action -- Pending orders can only be cancelled/modified once -- Delivered orders can be returned or exchanged -- Product IDs ≠ Item IDs (must distinguish between catalog and specific variants) -- One order modification max - collect all changes before calling tool -- Product variants: Different options (color, size, material) = different item_ids -- Refunds: Gift card refunds immediate, others 5-7 business days - -**Rewards**: DB checks, ACTION-based, COMMUNICATE evaluation - -### Telecom Domain - -**Location**: `tau2-bench/data/tau2/domains/telecom/` -- **Tasks**: 2,285 tasks in `tasks.json` (many auto-generated variants) -- **Policy**: `main_policy.md` -- **Code**: `tau2-bench/src/tau2/domains/telecom/tools.py` (agent) and `user_tools.py` (simulator) - -**What agents do**: Provide technical support for mobile devices and connectivity issues, handle overdue bill payments, manage line suspensions, help with data refueling and plan changes. - -**Example task categories**: -- **Mobile data issues** (~1000+ tasks): Roaming problems, data mode issues, network preference problems, VPN connectivity, airplane mode interference, data usage exceeded, multiple combined issues -- **MMS issues**: MMS sending failures with various device states -- **Service issues**: Line suspension problems, network outages, connection problems - -**Example task IDs**: -- `[mobile_data_issue]user_abroad_roaming_enabled_off[PERSONA:None]` - User abroad with roaming disabled -- `[mobile_data_issue]data_usage_exceeded[PERSONA:Easy]` - User exceeded data limit -- `[mobile_data_issue]airplane_mode_on|data_saver_mode_on[PERSONA:Easy]` - Multiple issues combined - -**Available agent tools**: -- `get_customer_by_phone()`, `get_customer_by_id()`, `get_customer_by_name()` -- `get_line()`, `get_line_by_phone()`, `get_bill()`, `get_bills_by_customer()` -- `send_payment_request()`, `make_payment()` -- `refuel_data()` (max 2GB), `change_plan()` -- `suspend_line()`, `resume_line()` -- `transfer_to_human_agents()` - -**Unique user tools** (simulates user controlling device): -- `set_user_location()`, `toggle_roaming()`, `toggle_airplane_mode()`, `toggle_mobile_data()` -- `toggle_data_saver_mode()`, `set_network_preference()`, `toggle_vpn()`, `toggle_eSIM()` -- `perform_speed_test()`, `get_status_bar()`, `can_send_mms()` - -**Key policy rules**: -- Try to resolve before escalating to human agents -- Overdue bills: Check status → send payment request → customer checks request → make payment -- Line suspension: Only lift after all overdue bills paid (cannot lift for expired contracts) -- Data refueling: Max 2GB per refuel, price varies by plan -- Customer lookup: By phone, ID, or name+DOB -- Bill status types: Draft, Issued, Paid, Overdue, Awaiting Payment, Disputed -- Line status types: Active, Suspended, Pending Activation, Closed - -**Rewards**: ENV_ASSERTION (checks device state), ACTION (correct tool calls), COMMUNICATE - -**Example telecom evaluation**: -```json -{ - "actions": [{"name": "toggle_roaming", "requestor": "user"}], - "env_assertions": [ - {"func_name": "assert_mobile_data_status", "expected_status": true}, - {"func_name": "assert_internet_speed", "expected_desc": "excellent"} - ], - "reward_basis": ["ENV_ASSERTION"] -} -``` - -Success = Agent correctly diagnoses problem + user performs correct fix + environment reaches target state - ---- - -## 1.8 Key Tau2Bench References - -**Task definitions**: -- Mock domain: `tau2-bench/data/tau2/domains/mock/tasks.json` -- Airline: `tau2-bench/data/tau2/domains/airline/tasks.json` (50 tasks) -- Retail: `tau2-bench/data/tau2/domains/retail/tasks.json` (114 tasks) -- Telecom: `tau2-bench/data/tau2/domains/telecom/tasks.json` (2,285 tasks) - -**Policies**: -- Airline: `tau2-bench/data/tau2/domains/airline/policy.md` -- Retail: `tau2-bench/data/tau2/domains/retail/policy.md` -- Telecom: `tau2-bench/data/tau2/domains/telecom/main_policy.md` - -**Tool implementations**: -- Airline tools: `tau2-bench/src/tau2/domains/airline/tools.py` -- Retail tools: `tau2-bench/src/tau2/domains/retail/tools.py` -- Telecom agent tools: `tau2-bench/src/tau2/domains/telecom/tools.py` -- Telecom user tools: `tau2-bench/src/tau2/domains/telecom/user_tools.py` - -**Evaluation code**: -- Main evaluator: `tau2-bench/src/tau2/evaluator/evaluator.py` -- Metrics (pass^k): `tau2-bench/src/tau2/metrics/agent_metrics.py` -- Orchestrator (runs episodes): `tau2-bench/src/tau2/orchestrator.py` - -**Data models**: -- Task structure: `tau2-bench/src/tau2/data_model/tasks.py` -- Airline models: `tau2-bench/src/tau2/domains/airline/data_model.py` -- Retail models: `tau2-bench/src/tau2/domains/retail/data_model.py` -- Telecom models: `tau2-bench/src/tau2/domains/telecom/data_model.py` - ---- diff --git a/brainstorming_forge_tau/tutorials/2_fundamentals.md b/brainstorming_forge_tau/tutorials/2_fundamentals.md deleted file mode 100644 index fd1b2d4d9..000000000 --- a/brainstorming_forge_tau/tutorials/2_fundamentals.md +++ /dev/null @@ -1,235 +0,0 @@ -# Part 2: The Fundamentals - -## 2.1 What is Tool Calling? - -Tool calling allows the LLM to invoke functions instead of just generating text. - -**Example:** -```python -# Without tools: -User: "What's the weather in NYC?" -Model: "I don't have access to real-time weather data." - -# With tools: -User: "What's the weather in NYC?" -Model: get_weather(city="NYC") -Tool: {"temperature": 72, "conditions": "sunny"} -Model: "It's 72°F and sunny in NYC." -``` - -## 2.2 How Tool Calling Works - -**Core concept:** Models are trained to output special formats (tokens or text tags), then we parse them to extract structured tool calls. - -**Two parsing approaches exist in practice:** - -### Token-Based Parsing (vLLM Native) -Some models use **special token IDs** (e.g., token 12971 = `<|python_tag|>`). vLLM can parse these directly: - -```yaml -# vLLM config -enable_auto_tool_choice: true -tool_call_parser: "hermes" # Model-specific: "mistral", "llama", "internlm" -``` - -### Text-Based Parsing (Manual) -Most libraries parse text tags with regex (seen in Tinker, TRL, Verifiers): - -```python -# Example from tinker-cookbook/tinker_cookbook/renderers.py -def parse_response(self, response_tokens): - text = self.tokenizer.decode(response_tokens) - match = re.search(r"(.*?)", text, re.DOTALL) - if match: - return Message(role="assistant", tool_calls=[json.loads(match.group(1))]) - return Message(role="assistant", content=text) -``` - -**Reference:** [Tinker renderers.py](../../tinker-cookbook/tinker_cookbook/renderers.py) - -**NOTE**: Every model has its own format. We shouldn't use arbitrary tags with arbitrary models. - -## 2.3 What is Multi-turn? - -Multi-turn = multiple back-and-forth exchanges in a single episode. - -**Single-turn:** -``` -User: "What's 2+2?" -Model: "4" -[Done] -``` - -**Multi-turn:** -``` -User: "What's 2+2?" -Model: "4" -User: "What's 4+2?" -Model: "6" -User: "What's 6+2?" -Model: "8" -[Done] -``` - -For tool calling, multi-turn enables: -1. Call tool -2. Get result -3. Use result to decide next action -4. Repeat until task complete - -## 2.4 Multi-turn Loop: A Simple Python Example - -```python -# Conceptual multi-turn loop -env = create_env(task="Book a flight to NYC") -messages = [{"role": "user", "content": "Book me a flight to NYC"}] -done = False - -while not done: - # 1. Build prompt from message history - prompt = build_prompt(messages) - - # 2. Generate response - # On first iteration it calls the tool and gets the results - # On following iterations it acts based on the result - # repeat until model says it is done - # Another option is to have another LLM here acting as an user. - response = model.generate(prompt) - - # 3. Check if tool call - if has_tool_call(response): - # Parse and execute tool - tool_call = parse_tool_call(response) - tool_result = env.execute_tool(tool_call) - - # Add to history - messages.append({"role": "assistant", "tool_calls": [tool_call]}) - messages.append({"role": "tool", "content": tool_result}) - else: - # Final answer - messages.append({"role": "assistant", "content": response}) - done = True - -# Get final reward -reward = env.get_reward() -``` - -Key points: -- **Loop** until done -- **Accumulate** messages (conversation history) -- **Tools** execute via environment -- **Reward** computed at end (sparse) - -## 2.5 What is an Environment? - -An **environment** manages: -1. **Tool execution**: Runs tools, returns results -2. **State management**: Tracks what's been done -3. **Reward computation**: Scores the episode - -**Standard API** (gym-like): - -```python -# Initialize -env = Environment(task=task_data) -state = env.reset() # Returns initial state/observation - -# Step -result = env.step(action) # Execute tool or message -# result contains: -# - observation: New state (tool result, env feedback) -# - reward: Immediate reward (often 0.0 for intermediate steps) -# - done: Is episode complete? -# - info: Extra metadata - -# Final reward -if result.done: - final_reward = result.reward -``` - -**Relationship to tools:** -- Environment **owns** the tools -- `env.step(tool_call)` executes the tool -- Returns tool result as observation -- Updates internal state (databases, etc.) - -## 2.6 Message Format (OpenAI Standard) - -Take the example: -``` -"Assistant: I'll search for flights and check the weather for you. -{"name": "search_flights", "arguments": {"destination": "NYC"}} - - -{"name": "get_weather", "arguments": {"city": "NYC"}} -" -``` - -**After parsing, this becomes the structured message** with separate `content` and `tool_calls` fields. Most libraries use OpenAI's chat format: - -```python -messages = [ - # System message (optional) - { - "role": "system", - "content": "You are a helpful assistant with access to tools..." - }, - - # User message - { - "role": "user", - "content": "Book me a flight to NYC and check the weather there" - }, - - # Assistant message (with content AND tool calls in ONE message) - { - "role": "assistant", - "content": "I'll search for flights and check the weather for you.", - "tool_calls": [ - { - "id": "call_123", - "function": { - "name": "search_flights", - "arguments": '{"destination": "NYC"}' - } - }, - { - "id": "call_124", - "function": { - "name": "get_weather", - "arguments": '{"city": "NYC"}' - } - } - ] - }, - - # Tool results (one per tool call) - { - "role": "tool", - "content": '[{"flight": "AA100", "price": "$200"}]', - "tool_call_id": "call_123" - }, - { - "role": "tool", - "content": '{"temperature": 72, "conditions": "sunny"}', - "tool_call_id": "call_124" - } -] -``` - -**Key fields:** -- `role`: "system", "user", "assistant", or "tool" -- `content`: Text content -- `tool_calls`: List of tool invocations (assistant only) -- `tool_call_id`: Links tool result to invocation - -**Chat template** converts messages to model input: -```python -# Using tokenizer -prompt = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=False -) -# Returns formatted string ready for model -``` diff --git a/brainstorming_forge_tau/tutorials/3_5_1_missing_details.md b/brainstorming_forge_tau/tutorials/3_5_1_missing_details.md deleted file mode 100644 index 31d104e4d..000000000 --- a/brainstorming_forge_tau/tutorials/3_5_1_missing_details.md +++ /dev/null @@ -1,453 +0,0 @@ -# Missing Details from 3_5 Ideal State - -This document identifies critical missing details for implementing a production-ready multi-turn tool-calling RL loop with Forge + vLLM + OpenEnv. - -**Organization:** -- **Section 1**: Core details to add to main 3_5 loop -- **Section 2**: Appendix items (configuration, generation args) -- **Section 3**: Open questions requiring clarification - ---- - -## Section 1: Core Details for Main Loop - -### 1. Multi-Environment Routing - -**What's missing:** How to handle multiple task types (websearch, coding, airline) with different tools and configurations. - -**Where it goes:** `continuous_rollouts()` function - -**Pattern:** Verifiers EnvGroup (task-based routing) or Tinker CompositeDataset (batch-level mixing) - -```python -# In continuous_rollouts: -task = await dataloader.sample.call_one() -# task includes: prompt, task_type, metadata - -# Environment map per task type -env_map = { - "websearch": websearch_env, - "coding": coding_env, - "airline": airline_env, -} - -# Route to correct environment -env_client = env_map[task.task_type] -env_state = env_client.reset() -tool_schemas = env_state.observation.tools - -# Different max_turns per environment -max_turns_config = { - "websearch": 10, - "coding": 15, - "airline": 8, -} -max_turns = max_turns_config[task.task_type] -``` - -**References:** -- Verifiers: `verifiers/envs/env_group.py:218-266` (rollout routing) -- Tinker: `tinker-cookbook/distillation/datasets.py:45-83` (CompositeDataset) - ---- - -### 2. Tool Call Parsing - -**What's missing:** How `parse_tool_call()` works and format options. - -**Where it goes:** Called in `play_task()` loop - -**Design choice:** Use Tinker's text-based parsing (simple), with option to leverage vLLM native parsing later. - -```python -# In play_task: -response = await policy.generate.route(prompt, n=1) - -# Parse tool call from response -# Using Tinker pattern: XML tags ... -# Alternative: vLLM native parsing (see Appendix) -tool_call = parse_tool_call(response.text) - -if tool_call: - # tool_call = {"name": "search_wiki", "args": {"query": "..."}} - action = ToolCallAction( - tool_name=tool_call["name"], - parameters=tool_call["args"] - ) -``` - -**Note:** Can use vLLM's native `tool_call_parser="hermes"` for automatic parsing (see Appendix for configuration). - -**References:** -- Tinker: `...` XML tags -- VERL: Uses SGLang's FunctionCallParser -- PRIME-RL: `enable_auto_tool_choice=True, tool_call_parser="hermes"` - ---- - -### 3. Tool Response Truncation - -**What's missing:** Handling very long tool outputs that could exceed context limits. - -**Where it goes:** After `env.step(action)` in `play_task()` - -```python -if tool_call: - result = env.step(action) - tool_content = result.observation.content - - # Truncate long tool responses - tool_tokens = tokenizer.encode(tool_content, add_special_tokens=False) - tool_tokens = truncate(tool_tokens, max_length=256) # TODO: Decide where truncate() lives (env vs explicit in loop) - tool_content = tokenizer.decode(tool_tokens) - - # Add to messages - messages.append({"role": "tool", "content": tool_content}) -``` - -**TODO:** Decide where `truncate()` utility lives: -- Option A: Environment handles truncation before returning -- Option B: Explicit in rollout loop (shown above) -- Option C: Utility function shared across environments - -**References:** -- VERL: `max_tool_response_length=256`, `tool_response_truncate_side="middle"` -- VERL: `verl/experimental/agent_loop/tool_agent_loop.py:457-464` - ---- - -### 4. Parallel Episode Collection - -**What's missing:** Currently sequential episode collection blocks on each `play_task()` call. - -**Where it goes:** `continuous_rollouts()` when creating G samples per task - -```python -# In continuous_rollouts: - -# TODO: Investigate how to parallelize this instead of sequential execution -# Current (sequential): -episodes = [] -for _ in range(group_size): - episode = await play_task(policy, task_prompt, tool_schemas, env, max_turns) - episodes.append(episode) - -# Future (parallel with asyncio.gather): -# episode_tasks = [ -# play_task(policy, task_prompt, tool_schemas, env, max_turns) -# for _ in range(group_size) -# ] -# episodes = await asyncio.gather(*episode_tasks) -``` - -**References:** -- NeMo-RL: `RL/nemo_rl/experience/rollouts.py:780-936` (per-sample async tasks) -- BlackJack: Sequential execution (current pattern) - ---- - -### 5. Episode Metadata - -**What's missing:** Tracking episode statistics for debugging and analysis. - -**Where it goes:** `play_task()` and Episode dataclass - -```python -# In play_task: -turn = 0 -metadata = {} # Track episode stats - -while not done and turn < max_turns: - # ... generation and tool execution ... - turn += 1 - -# Populate metadata -metadata = { - "num_turns": turn, - "truncated": turn >= max_turns, - # ... other stats moved to appendix -} - -# Store in Episode -episode = Episode( - ..., - metadata=metadata # New field -) -``` - -**See Appendix** for full list of metadata fields (num_tool_calls, termination_reason, etc.) - -**References:** -- NeMo-RL: `RL/nemo_rl/experience/rollouts.py:512,523-526` (truncation tracking) -- Tinker: `Transition.metrics` field - ---- - -### 6. System Prompt Formatting - -**What's missing:** How system prompt with tool instructions is created. - -**Where it goes:** Dataset definition or tokenizer's chat template handles this. - -**Design choice:** System prompt comes from either: -1. Dataset provides it per task type -2. Tokenizer's `apply_chat_template()` handles it when `tools=` parameter is passed - -```python -# In play_task: -# Option 1: Dataset provides system prompt -messages = [ - {"role": "system", "content": task.system_prompt}, # From dataset - {"role": "user", "content": task_prompt} -] - -# Option 2: Tokenizer handles it via tools parameter -messages = [{"role": "user", "content": task_prompt}] -prompt = tokenizer.apply_chat_template( - messages, - tools=tool_schemas, # Tokenizer injects system prompt with tool definitions - add_generation_prompt=True, - tokenize=False -) -``` - -**Clarification needed:** Determine if Forge's current tokenizer setup supports `tools=` parameter. - -**References:** -- Tinker: `SEARCH_TOOL_SYSTEM_PROMPT` in `tinker-cookbook/recipes/tool_use/search/search_env.py` -- Verifiers: System message with tool definitions - ---- - -### 7. Response Mask in Training - -**What's missing:** How `response_mask` is passed to trainer. - -**Where it goes:** `continuous_training()` and `trainer.train_step()` - -```python -# In continuous_training: -batch = await replay_buffer.sample(batch_size) - -# Train on batch -await trainer.train_step( - inputs=batch["prompt_ids"], - targets=batch["response_ids"], - advantages=batch["advantages"], - ref_logprobs=batch["ref_logprobs"], - response_mask=batch["response_mask"], # Pass mask to trainer -) -``` - -**Note:** No need to show implementation of mask application in 3_5. Just show the API. - -**References:** -- VERL: `verl/trainer/ppo/core_algos.py:787-808` (masked loss aggregation) -- Verifiers: `mask_env_responses` flag - ---- - -### 8. Error Handling - -**What's missing:** Handling tool execution failures and malformed responses. - -**Where it goes:** `play_task()` around `env.step()` - -```python -# In play_task: -if tool_call: - try: - result = env.step(action) - except Exception as e: - # Add error message instead of tool result - messages.append({ - "role": "tool", - "content": f"Error: {str(e)}" - }) - # Continue to next turn or terminate based on policy -``` - -**References:** -- VERL: `verl/experimental/agent_loop/tool_agent_loop.py:1329-1357` (try/except with cleanup) - ---- - -### 9. Parallel Tool Execution (Multiple Tools Per Turn) - -**What's missing:** Handling multiple tool calls in a single response and executing them in parallel. - -**Where it goes:** `play_task()` loop - -```python -# In play_task: -# Parse multiple tool calls (if model calls multiple tools) -tool_calls = parse_tool_calls(response.text) # Returns list - -if tool_calls: - # TODO: Confirm environment can handle parallel requests - # Execute all tools in parallel - tool_tasks = [ - env.execute_tool(tc["name"], tc["args"]) - for tc in tool_calls - ] - tool_results = await asyncio.gather(*tool_tasks) - - # Add assistant message with all tool calls - messages.append({ - "role": "assistant", - "tool_calls": tool_calls - }) - - # Add all tool results - for tool_result in tool_results: - messages.append({ - "role": "tool", - "content": tool_result.content - }) -``` - -**References:** -- VERL: `verl/experimental/agent_loop/tool_agent_loop.py:1256-1266` (parallel execution) -- NeMo-RL: `max_parallel_calls` configuration - ---- - -## Section 2: Appendix Items - -### A. Generation Arguments - -**What to include:** -- `stop_strings` - List of strings to stop generation -- `stop_token_ids` - List of token IDs to stop generation -- `temperature`, `top_p` - Sampling parameters -- `max_tokens` - Maximum generation length - -**Where it goes:** Appendix section on generation configuration - -```python -# Example generation call with all parameters: -response = await policy.generate.route( - prompt, - n=1, - stop_strings=["", "<|im_end|>"], - stop_token_ids=[tokenizer.eos_token_id], - temperature=0.7, - top_p=0.95, - max_tokens=512, -) -``` - -**References:** -- NeMo-RL: `RL/nemo_rl/models/generation/interfaces.py:127-128` -- NeMo-RL: `RL/nemo_rl/experience/rollouts.py:280,291` (next_stop_strings) - ---- - -### B. vLLM Configuration Flags - -**What to include:** -- `enable_auto_tool_choice` - Enable native tool calling -- `tool_call_parser` - Tool format parser (hermes/mistral/llama) -- `enable_prefix_caching` - Cache prompt prefixes (helps multi-turn) - -**Where it goes:** Appendix section on vLLM setup - -```python -# In Generator initialization: -policy = Generator( - model="Qwen/Qwen2.5-7B-Instruct", - engine_args={ - # Tool calling support - "enable_auto_tool_choice": True, - "tool_call_parser": "hermes", - - # Performance - "enable_prefix_caching": True, - "gpu_memory_utilization": 0.9, - "max_model_len": 4096, - } -) -``` - -**References:** -- PRIME-RL: `prime-rl/examples/wiki_search/rl.toml` -- NeMo-RL: `async_engine: true` for pipelining - ---- - -### C. Episode Metadata Fields (Full List) - -**Complete metadata dictionary:** - -```python -metadata = { - # Basic stats - "num_turns": turn, - "num_tool_calls": tool_call_count, - - # Termination - "truncated": turn >= max_turns, - "termination_reason": "max_turns" | "done" | "error", - - # Performance - "total_tokens": len(all_tokens), - "prompt_tokens": len(prompt_ids), - "response_tokens": len(all_tokens), - - # Task info - "task_type": task.task_type, - "env_name": env_client.name, -} -``` - -**References:** -- NeMo-RL: `RL/nemo_rl/experience/rollouts.py:512,523-526` -- Tinker: `Transition.metrics` - ---- - -## Section 3: Open Questions - -### Q1: Attention Mask & Position IDs - -**Question:** Do we need explicit `attention_mask` and `position_ids` fields in Episode? - -**Context from frameworks:** -- VERL includes `attention_mask`, `position_ids` in batch dict -- NeMo-RL has full batch preparation with these fields - -**Clarification needed:** -1. Does Forge's current Episode → batch conversion handle these automatically? -2. Are they required for training, or does the trainer build them? -3. For multi-turn with concatenated tokens, do we need special handling? - -**Potential answer:** If needed, they can be computed from token IDs: -- `attention_mask`: 1 for real tokens, 0 for padding -- `position_ids`: Sequential positions for all tokens - -**References:** -- VERL: `verl/workers/rollout/sglang_rollout.py` (batch dict construction) -- NeMo-RL: `RL/nemo_rl/experience/rollouts.py` (batch preparation) - ---- - -## Summary - -**To add to main 3_5 loop:** -1. ✅ Multi-environment routing (env_map, task_type) -2. ✅ Tool call parsing (parse_tool_call with format note) -3. ✅ Tool response truncation (truncate() utility with TODO) -4. ✅ Parallel episode collection (TODO for asyncio.gather) -5. ✅ Episode metadata (minimal fields, full list in appendix) -6. ✅ System prompt (clarify dataset vs tokenizer) -7. ✅ Response mask API (pass to trainer) -8. ✅ Error handling (try/except around env.step) -9. ✅ Parallel tool execution (with TODO for env support) - -**To add to appendix:** -- Generation arguments (stop_strings, temperature, etc.) -- vLLM configuration flags -- Full metadata fields - -**Requires clarification:** -- Attention mask & position IDs necessity diff --git a/brainstorming_forge_tau/tutorials/3_5_ideal_state.md b/brainstorming_forge_tau/tutorials/3_5_ideal_state.md deleted file mode 100644 index 04f1df492..000000000 --- a/brainstorming_forge_tau/tutorials/3_5_ideal_state.md +++ /dev/null @@ -1,559 +0,0 @@ -# Part 3.5: Ideal State - Multi-Turn Tool Calling with Forge + vLLM + OpenEnv - -For tool calling, we extend Forge's GRPO pattern to handle **multi-turn interactions** where: -- One task → multiple LLM generations + tool executions → one Episode -- Episode contains **concatenated tokens** from all turns -- Training and replay buffer logic remains unchanged - -**Key Principle:** Multi-turn only changes the **rollout phase**. Training stays the same. - ---- - -## Setup: Services + Multi-Environment Support - -```python -# Reference: Adapted from apps/grpo/main.py for multi-turn -# OpenEnv RFC 001: "We separate tasks from environments" - -# 1. Setup services (same as single-turn, plus environments) -policy = Generator(...) -trainer = TitanTrainer(...) -replay_buffer = ReplayBuffer(...) -ref_model = ReferenceModel(...) - -# Dataloader provides tasks (prompts + metadata) -# Reference: OpenEnv/rfcs/001-abstractions.md:308-381 -dataloader = DataLoader(Tau2BenchDataset(...)) - -# NEW: Environment map for multiple task types -# Different environments = different tools, max_turns, rewards -# Reference: verifiers/envs/env_group.py:218-266 (task-based routing) -env_map = { - "websearch": WebSearchEnv.from_docker_image("tau2bench/websearch:latest"), - "coding": CodingEnv.from_docker_image("tau2bench/coding:latest"), - "airline": AirlineEnv.from_docker_image("tau2bench/airline:latest"), -} - -# Environment-specific configuration -max_turns_config = { - "websearch": 10, - "coding": 15, - "airline": 8, -} -``` - -**Why environment map?** Tau2Bench has multiple domains with different tools. Tasks include a `task_type` field to route to the correct environment. - -**References:** -- Verifiers: `verifiers/envs/env_group.py` (EnvGroup pattern) -- Tinker: `tinker-cookbook/distillation/datasets.py:45-83` (CompositeDataset) - ---- - -## Rollout Loop: Multi-Turn with Environment Routing - -```python -# 2. Rollout loop (continuous_rollouts with multi-turn) -async def continuous_rollouts(): - while True: - # Sample task from dataloader - task = await dataloader.sample.call_one() - # task.prompt: "Book a flight from SF to NYC on March 15th" - # task.task_type: "websearch" | "coding" | "airline" - # task.metadata: Additional task-specific info - - # Route to correct environment based on task type - env_client = env_map[task.task_type] - max_turns = max_turns_config[task.task_type] - - # Reset environment to get tools (env doesn't know the task) - # Reference: OpenEnv/src/core/http_env_client.py:142-154 - env_state = env_client.reset() - tool_schemas = env_state.observation.tools # Available tools for this env - - # Generate G samples for this task - # TODO: Investigate parallelizing with asyncio.gather() instead of sequential - episodes = [] - for _ in range(group_size): # G samples per task - episode = await play_task( - policy=policy, - task_prompt=task.prompt, # From dataloader - tool_schemas=tool_schemas, # From environment - env=env_client, - max_turns=max_turns - ) - episodes.append(episode) - - # Add to replay buffer (same as single-turn) - for episode in episodes: - await replay_buffer.add.call_one(episode) -``` - -**Key differences from single-turn:** - -| Aspect | Single-Turn (GSM8K) | Multi-Turn (Tau2Bench) | -|--------|---------------------|------------------------| -| **Dataloader** | ✅ `DataLoader(GSM8K)` | ✅ `DataLoader(Tau2Bench)` | -| **Task routing** | N/A | `env_map[task.task_type]` | -| **Environment** | None | `env.reset()` provides tools | -| **Generation** | One `policy.generate()` | Loop of `policy.generate()` calls | -| **Actions** | None | `env.step(ToolCallAction)` | -| **Episode tokens** | `response.token_ids` | Concatenated: `llm + tool + llm + ...` | -| **Reward** | `reward_actor.evaluate()` | `env.step().reward` | - -**Critical insight:** Dataset provides tasks, environment provides tools. They are separate. - ---- - -## Multi-Turn Rollout: play_task() - -This replaces the single `policy.generate()` call in single-turn GRPO. - -```python -# Reference: OpenEnv/src/core/client_types.py (StepResult) -from openenv.core.client_types import StepResult -from openenv.core.env_server import ToolCallAction - -async def play_task( - policy: Generator, - task_prompt: str, # From dataloader - tool_schemas: list[dict], # From env.reset() - env: OpenEnvClient, - max_turns: int = 10 -) -> Episode: - """ - Play one task to completion, return single Episode. - - Args: - policy: Generator actor for LLM generation - task_prompt: Task from dataloader (e.g., "Book flight SF->NYC") - tool_schemas: Available tools from env.reset() - env: Environment client for tool execution - max_turns: Maximum conversation turns - - Returns: - Episode with all turns concatenated - """ - - # Initialize conversation with task - # System prompt handled by tokenizer.apply_chat_template() with tools= - # Or dataset can provide task.system_prompt if needed - messages = [{"role": "user", "content": task_prompt}] - - # Storage: concatenate all turns into single sequence - all_tokens = [] - all_logprobs = [] - response_mask = [] # 1=train on LLM output, 0=skip tool results - metadata = {} # Track episode stats - - done = False - turn = 0 - - while not done and turn < max_turns: - # 1. Format prompt with conversation history + tools - # Tokenizer injects system prompt with tool definitions when tools= is passed - prompt = tokenizer.apply_chat_template( - messages, - tools=tool_schemas, # From env.reset() - add_generation_prompt=True, - tokenize=False - ) - - # 2. Generate response - response = await policy.generate.route(prompt, n=1) - - # 3. Parse tool call from response - # Using Tinker pattern: XML tags ... - # Alternative: vLLM native parsing with tool_call_parser="hermes" (see Appendix) - tool_calls = parse_tool_calls(response.text) # Returns list of tool calls - - if tool_calls: - # Tool execution path - # Add assistant message with tool calls - messages.append({ - "role": "assistant", - "content": response.text, - "tool_calls": tool_calls # Structured tool call data - }) - - # Collect LLM output tokens - TRAIN on these - all_tokens.extend(response.token_ids) - all_logprobs.extend(response.logprobs) - response_mask.extend([1] * len(response.token_ids)) - - # Execute tools (parallel if multiple calls) - # TODO: Confirm environment can handle parallel requests - try: - tool_tasks = [ - env.execute_tool(tc["name"], tc["args"]) - for tc in tool_calls - ] - tool_results = await asyncio.gather(*tool_tasks) - except Exception as e: - # Handle tool execution errors - tool_results = [{"content": f"Error: {str(e)}"}] - - # Add tool results to messages and tokens - for tool_result in tool_results: - tool_content = tool_result.content - - # Truncate long tool responses to avoid context overflow - tool_tokens = tokenizer.encode(tool_content, add_special_tokens=False) - tool_tokens = truncate(tool_tokens, max_length=256) - # TODO: Decide where truncate() lives (env vs rollout loop vs utility) - tool_content = tokenizer.decode(tool_tokens) - - # Add tool result to messages - messages.append({ - "role": "tool", - "content": tool_content - }) - - # Collect tool result tokens - DON'T TRAIN on these - all_tokens.extend(tool_tokens) - all_logprobs.extend([0.0] * len(tool_tokens)) - response_mask.extend([0] * len(tool_tokens)) - - # Check if environment signals done - done = tool_results[-1].get("done", False) if tool_results else False - - else: - # Final answer (no tool call) - messages.append({ - "role": "assistant", - "content": response.text - }) - - # Collect final response tokens - TRAIN on these - all_tokens.extend(response.token_ids) - all_logprobs.extend(response.logprobs) - response_mask.extend([1] * len(response.token_ids)) - - done = True - - turn += 1 - - # Populate episode metadata - metadata = { - "num_turns": turn, - "truncated": turn >= max_turns, - # See Appendix for full metadata fields - } - - # Get final reward from environment - # In single-turn: reward_actor.evaluate_response() - # In multi-turn: environment state - final_reward = env.get_reward() # 1.0 or 0.0 - - # Create Episode (same structure as single-turn) - # Reference: apps/grpo/main.py:44-75 - completion = Completion( - prompt_ids=None, # Not stored (can reconstruct from messages) - token_ids=torch.tensor(all_tokens), - logprobs=torch.tensor(all_logprobs), - text=tokenizer.decode(all_tokens), - generator_version=0 - ) - - episode = Episode( - episode_id=str(uuid.uuid4()), - pad_id=tokenizer.pad_token_id or tokenizer.eos_token_id, - request_len=0, # Varies per turn, not fixed - response_len=len(all_tokens), - target=None, # Tau2Bench doesn't expose ground truth during training - completion=completion, - response_mask=torch.tensor(response_mask), # NEW: Mask for training - ref_logprobs=None, # Computed later by ref_model - reward=final_reward, - advantage=None, # Computed later with group - metadata=metadata # NEW: Episode statistics - ) - - return episode -``` - -**Key details:** - -1. **Tool call parsing:** Uses `parse_tool_calls()` to extract tool calls from text. Can use vLLM native parsing (see Appendix). - -2. **Response mask:** Critical for multi-turn. Marks which tokens to train on: - - `1` = LLM output (train on these) - - `0` = Tool results (don't train on these) - -3. **Truncation:** Long tool responses truncated to avoid exceeding context limits. - -4. **Error handling:** Tool execution wrapped in try/except. Errors added as tool messages. - -5. **Parallel tools:** Multiple tool calls in single response executed concurrently with `asyncio.gather()`. - -6. **Metadata:** Track episode stats (num_turns, truncation, etc.) for analysis. - -**References:** -- Tinker: `tinker-cookbook/recipes/tool_use/search/search_env.py` (multi-turn loop) -- VERL: `verl/experimental/agent_loop/tool_agent_loop.py` (parallel tools, truncation) -- TRL: `trl/examples/scripts/openenv/catch.py` (token concatenation) - ---- - -## Training Loop: Response Mask Integration - -```python -# Reference: apps/grpo/main.py - -# 3. Training loop (minimal changes - just add response_mask) -async def continuous_training(): - while True: - # Sample batch from replay buffer - batch = await replay_buffer.sample(batch_size) - - # Get reference logprobs - ref_logprobs = await ref_model.forward.route( - prompt_ids=batch["prompt_ids"], - response_ids=batch["response_ids"] - ) - - # Compute advantages (group-relative) - advantages = compute_group_advantages(batch["rewards"]) - - # Train on batch with response mask - await trainer.train_step( - inputs=batch["prompt_ids"], - targets=batch["response_ids"], - advantages=advantages, - ref_logprobs=ref_logprobs, - response_mask=batch["response_mask"], # NEW: Mask tool results - ) - - # Update policy weights - version = await trainer.push_weights() - await policy.update_weights(version) -``` - -**What changed:** Added `response_mask` parameter to `trainer.train_step()`. The trainer applies the mask during loss computation to zero out gradients for tool result tokens. - -**References:** -- VERL: `verl/trainer/ppo/core_algos.py:787-808` (masked loss aggregation) -- Verifiers: `mask_env_responses` flag in processing - ---- - -## Complete Flow Diagram - -``` -┌─────────────────────────────────────────────────────────────┐ -│ SINGLE-TURN (GSM8K) │ -├─────────────────────────────────────────────────────────────┤ -│ │ -│ dataloader.sample() ──→ task.prompt │ -│ ↓ │ -│ policy.generate(task.prompt, n=G) ──→ [responses 1..G] │ -│ ↓ │ -│ create Episode(response) │ -│ ↓ │ -│ replay_buffer.add(episode) │ -│ │ -└─────────────────────────────────────────────────────────────┘ - -┌─────────────────────────────────────────────────────────────┐ -│ MULTI-TURN (TAU2BENCH) │ -├─────────────────────────────────────────────────────────────┤ -│ │ -│ dataloader.sample() ──→ task (prompt + task_type) │ -│ ↓ │ -│ env = env_map[task.task_type] ──→ route to environment │ -│ env.reset() ──→ tool_schemas │ -│ ↓ │ -│ FOR i in 1..G: │ -│ play_task(task.prompt, tool_schemas, env): │ -│ messages = [user: task.prompt] │ -│ WHILE not done AND turn < max_turns: │ -│ prompt = apply_chat_template(messages, tools) │ -│ response = policy.generate(prompt) │ -│ tool_calls = parse_tool_calls(response) │ -│ IF tool_calls: │ -│ results = asyncio.gather(*[env.execute_tool(...)])│ -│ messages.append(assistant, tool_results) │ -│ all_tokens += [llm_tokens] + [tool_tokens] │ -│ response_mask += [1, 1, ...] + [0, 0, ...] │ -│ ELSE: │ -│ done = True │ -│ turn += 1 │ -│ create Episode(all_tokens, response_mask, reward) │ -│ ↓ │ -│ replay_buffer.add(episode) │ -│ ↓ │ -│ trainer.train_step(..., response_mask=mask) │ -│ │ -└─────────────────────────────────────────────────────────────┘ -``` - -**Key components:** -- **Task routing:** `env_map[task.task_type]` selects environment -- **Tool schemas:** From `env.reset()`, passed to tokenizer -- **Token concatenation:** All turns merged into single sequence -- **Response mask:** Separates LLM output (train) from tool results (skip) -- **Training:** Same GRPO logic, just with mask applied - ---- - -## Appendix - -### A. Generation Arguments - -Full parameter list for `policy.generate.route()`: - -```python -response = await policy.generate.route( - prompt, - n=1, - # Stop conditions - stop_strings=["", "<|im_end|>"], - stop_token_ids=[tokenizer.eos_token_id], - # Sampling - temperature=0.7, - top_p=0.95, - max_tokens=512, -) -``` - -**References:** -- NeMo-RL: `RL/nemo_rl/models/generation/interfaces.py:127-128` -- NeMo-RL: `RL/nemo_rl/experience/rollouts.py:280,291` (dynamic stop strings) - ---- - -### B. vLLM Configuration Flags - -Enable native tool calling and performance optimizations: - -```python -policy = Generator( - model="Qwen/Qwen2.5-7B-Instruct", - engine_args={ - # Tool calling support (alternative to text parsing) - "enable_auto_tool_choice": True, - "tool_call_parser": "hermes", # or "mistral", "llama" - - # Performance - "enable_prefix_caching": True, # Cache prompt prefixes (helps multi-turn!) - "gpu_memory_utilization": 0.9, - "max_model_len": 4096, - } -) -``` - -**What these do:** -- `enable_auto_tool_choice`: vLLM parses tool calls from model output automatically -- `tool_call_parser`: Format parser (model-specific) -- `enable_prefix_caching`: Reuses cached prompts across turns (major speedup!) - -**References:** -- PRIME-RL: `prime-rl/examples/wiki_search/rl.toml` -- NeMo-RL: `async_engine: true` for pipelining - ---- - -### C. Episode Metadata (Full Fields) - -Complete metadata dictionary for debugging and analysis: - -```python -metadata = { - # Basic stats - "num_turns": turn, - "num_tool_calls": tool_call_count, - - # Termination - "truncated": turn >= max_turns, - "termination_reason": "max_turns" | "done" | "error", - - # Performance - "total_tokens": len(all_tokens), - "prompt_tokens": sum(len(m["content"]) for m in messages if m["role"] != "assistant"), - "response_tokens": len(all_tokens), - - # Task info - "task_type": task.task_type, - "env_name": env_client.name, -} -``` - -**References:** -- NeMo-RL: `RL/nemo_rl/experience/rollouts.py:512,523-526` -- Tinker: `Transition.metrics` - ---- - -### D. Tool Call Parsing Formats - -**Tinker pattern (XML tags):** -```python -def parse_tool_calls(response_text: str) -> list[dict]: - """Parse tool calls from ... tags.""" - matches = re.findall(r"(.*?)", response_text, re.DOTALL) - tool_calls = [] - for match in matches: - try: - tool_calls.append(json.loads(match)) - except json.JSONDecodeError: - continue - return tool_calls -``` - -**vLLM native (Hermes format):** -```python -# If enable_auto_tool_choice=True, response has structured tool_calls -if hasattr(response, 'tool_calls') and response.tool_calls: - return [ - { - "name": tc.name, - "args": json.loads(tc.arguments) - } - for tc in response.tool_calls - ] -``` - -**References:** -- Tinker: `tinker-cookbook/recipes/tool_use/search/search_env.py` -- PRIME-RL: Uses vLLM native parsing - ---- - -### E. System Prompt Options - -**Option 1: Dataset provides system prompt** -```python -# Task includes system_prompt field -messages = [ - {"role": "system", "content": task.system_prompt}, - {"role": "user", "content": task_prompt} -] -``` - -**Option 2: Tokenizer injects system prompt** -```python -# Tokenizer handles system prompt when tools= is passed -messages = [{"role": "user", "content": task_prompt}] -prompt = tokenizer.apply_chat_template( - messages, - tools=tool_schemas, # Tokenizer adds system message with tool definitions - add_generation_prompt=True, - tokenize=False -) -``` - -**Recommendation:** Use Option 2 if your tokenizer supports it. Otherwise, have dataset provide system prompts per task type. - ---- - -## Summary: What Changed for Multi-Turn - -| Component | Single-Turn | Multi-Turn | -|-----------|-------------|------------| -| **Setup** | `env_client` (single) | `env_map` (multiple envs) | -| **Rollout** | `policy.generate()` once | `play_task()` with loop | -| **Episode tokens** | `response.token_ids` | Concatenated across turns | -| **Episode fields** | Basic | + `response_mask`, `metadata` | -| **Training** | `train_step(...)` | + `response_mask` parameter | - -**Everything else stays the same:** Replay buffer, reference model, advantage computation, weight updates. diff --git a/brainstorming_forge_tau/tutorials/3_forge_current_state.md b/brainstorming_forge_tau/tutorials/3_forge_current_state.md deleted file mode 100644 index ba7d3f762..000000000 --- a/brainstorming_forge_tau/tutorials/3_forge_current_state.md +++ /dev/null @@ -1,271 +0,0 @@ -# Part 3: How Forge Currently Works - -## 3.1 Current Forge GRPO Flow (GSM8K Example) - -Forge currently implements GRPO (Group Relative Policy Optimization) for single-turn tasks like math problems. - -**Architecture:** -```python -# apps/grpo/main.py - -# 1. Setup services (distributed actors via Monarch) -policy = Generator(...) # vLLM-based generation -trainer = TitanTrainer(...) # Training service -replay_buffer = ReplayBuffer(...) # Store episodes -ref_model = ReferenceModel(...) # Reference for KL -reward_actor = RewardActor(...) # Score responses - -# 2. Rollout loop (continuous_rollouts) -async def continuous_rollouts(): - while True: - # Sample prompt from dataset - sample = await dataloader.sample.call_one() - prompt, target = sample["prompt"], sample["target"] - - # Generate G responses (group) - responses = await policy.generate.route( - prompt, - n=group_size # e.g., 8 responses - ) - - # Score each response - episodes = [] - for response in responses: - episode = Episode(...) - episode.reward = await reward_actor.evaluate_response.route( - prompt=prompt, - response=response.text, - target=target - ) - episodes.append(episode) - - # Get reference logprobs - ref_logprobs = await ref_model.forward.route(...) - - # Compute advantages (group-relative) - advantages = compute_advantages(episodes) - - # Add to replay buffer - for episode in episodes: - await replay_buffer.add.call_one(episode) - -# 3. Training loop (continuous_training) -async def continuous_training(): - while True: - batch = await replay_buffer.sample(batch_size) - - # Train on batch - await trainer.train_step( - inputs=batch["inputs"], - targets=batch["targets"], - advantages=batch["advantages"] - ) - - # Update policy weights - version = await trainer.push_weights() - await policy.update_weights(version) -``` - -**Key features:** -- **Async distributed**: Actors communicate via Monarch -- **Parallel rollouts**: Multiple `continuous_rollouts()` tasks -- **Decoupled**: Rollout and training loops run independently -- **Replay buffer**: Stores episodes for training - -## 3.2 What Forge is Missing for Tool Calling - -**Current GSM8K flow:** -``` -Sample prompt → Generate response → Score → Train -``` - -**Needed for tool calling:** -``` -Sample task → Multi-turn loop → Train - ↓ - Generate → Parse → Execute tool → Update state → Repeat -> Score -``` - -**Missing components:** - -### 1. Multi-turn Loop -**Current**: Single `policy.generate.route(prompt)` -**Needed**: Loop with multiple generation calls - -```python -# Need to add: -while not done: - response = await policy.generate.route(prompt) - if has_tool_call(response): - tool_result = execute_tool(...) - # Continue loop - else: - done = True -``` - -### 2. Tool Call Detection & Parsing -**Current**: No parsing -**Needed**: Extract tool calls from model output - -```python -# Need to add: -def parse_tool_call(response_text): - if "" in response_text: - # Parse JSON - return tool_call - return None -``` - -### 3. Message History Management -**Current**: Single prompt -**Needed**: Accumulate multi-turn conversation - -```python -# Need to add: -messages = [ - {"role": "user", "content": task}, - {"role": "assistant", "tool_calls": [...]}, - {"role": "tool", "content": result}, - # ... more turns -] -``` - -### 4. Tool Execution -**Current**: No tool support -**Needed**: Environment to execute tools - -```python -# Need to add: -env = Environment(task=task) -result = env.step(tool_call) -``` - -### 5. Response Masking -**Current**: Naively split between prompt/answer and train on the answer. This - would train on all tokens, including tool calls. -**Needed**: Mask to ignore tool results in the loss function - -```python -# Need to add: -response_mask = [ - 1, 1, 1, # LLM output - TRAIN - 0, 0, 0, # Tool result - IGNORE - 1, 1, 1, # LLM output - TRAIN -] -``` - -### 6. Episode Structure -**Current** (from `apps/grpo/main.py:44-74`): -```python -@dataclass -class Episode: - episode_id: str - pad_id: int - request_len: int - response_len: int - target: Any | None = None - # Processed data - completion: Completion | None = None # Contains prompt_ids, token_ids, logprobs - ref_logprobs: torch.Tensor | None = None - reward: float | None = None - advantage: float | None = None -``` - -**Multi turn**: - -**References**: -**Tinker** `tinker-cookbook/tinker_cookbook/rl/types.py`, -**VERL** `verl/experimental/agent_loop/tool_agent_loop.py`, -**TRL** `trl/examples/scripts/openenv/catch.py` -**NeMo-RL** `RL/nemo_rl/experience/rollouts.py` - -- Store all turns (transition) in single Episode (trajectory) -- Concatenate turns during rollout or when converting to training data -- Build response_mask to exclude tool results from training - -**Tinker's approach** (`tinker-cookbook/tinker_cookbook/rl/types.py`): -```python -Observation: TypeAlias = tinker.ModelInput - -@dataclass -class Transition: - ob: Observation - ac: TokensWithLogprobs - reward: float - episode_done: bool - metrics: Metrics = field(default_factory=dict) - -@dataclass(frozen=True) -class Trajectory: - transitions: list[Transition] - final_ob: Observation - -@dataclass -class TrajectoryGroup: - trajectories_G: list[Trajectory] - final_rewards_G: list[float] # computed by the EnvGroupBuilder, looking at whole group - metrics_G: list[Metrics] - - def get_total_rewards(self) -> list[float]: - return [ - sum(transition.reward for transition in trajectory.transitions) + final_reward - for trajectory, final_reward in safezip(self.trajectories_G, self.final_rewards_G) - ] -``` - -### 7. Prompt Formatting with Tools -**Current**: Simple prompt. -**Needed**: Our tokenizer jinja template already supports tools, but need to investigate how to use it -and write `format_tool_schemas` - -```python -# Need to add: -system_prompt = f""" -You have access to these tools: - -{format_tool_schemas(tools)} - -Call tools using this format: -{{"name": "tool_name", "args": {{}}}} -""" -``` - -### 8. Reward Computation -**Current** (from `apps/grpo/main.py:385-398`): Immediate reward from `RewardActor` -```python -# For each response in the group -for i, response in enumerate(responses): - episode.reward = await reward_actor.evaluate_response.route( - prompt=prompt, - response=response.text, - target=target - ) - # reward_actor compares response to target immediately -``` - -**Needed for multi-turn**: Sparse reward from environment after episode completes, i.e. the input to the reward calculator is the **full trajectory**. - -```python -for i, response in enumerate(responses): - ... - -# add this -final_reward = sum(previous_rewards_if_any) + env.get_rewards(responses) -# or just: -final_reward = env.get_rewards(responses) -``` - - - - ---- - -**Summary Table:** - -| Component | GSM8K (Current) | Tool Calling (Needed) | -|-----------|----------------|----------------------| -| **Loop** | Single generate | Multi-turn while loop | -| **Tools** | None | Parse & execute | -| **Reward** | Per-response | Sparse at end | -| **Loss** | All tokens | Masked (exclude tool results) | -| **Episode** | Single turn | multi-turn | diff --git a/brainstorming_forge_tau/tutorials/4_complete_loop_components_v1.md b/brainstorming_forge_tau/tutorials/4_complete_loop_components_v1.md deleted file mode 100644 index bf932c6c4..000000000 --- a/brainstorming_forge_tau/tutorials/4_complete_loop_components_v1.md +++ /dev/null @@ -1,722 +0,0 @@ -# Part 4: Complete Multi-Turn Tool Calling Loop (Components) - -This part breaks down all 8 components needed for multi-turn tool calling. - -## 4.0 Generator Options: Internal vs External vLLM - -You have three options for running vLLM: - -### Option A: Forge Generator (Internal vLLM) ✅ **Recommended** - -**How it works:** -- vLLM engine runs **inside Forge** as a distributed actor -- Allocated to its own GPUs via Monarch process mesh -- Communication via **async actor calls** (not HTTP) -- This is what Forge currently does - -```python -# apps/grpo/main.py -policy = Generator( - model_path="Qwen/Qwen2.5-1.5B-Instruct", - engine_args={...} -) - -# Generate -response = await policy.generate.route(prompt) -``` - -**Pros:** -- Efficient (no HTTP overhead) -- Integrated with Forge's distributed system -- GPU allocation handled automatically - -**Cons:** -- Less flexible for debugging -- Harder to inspect intermediate states - -### Option B: External vLLM Server (Separate Process) - -**How it works:** -- vLLM runs as independent HTTP server (separate process) -- Forge sends blocking or async HTTP requests -- Used by TRL examples - -```python -# Start vLLM server separately: -# $ vllm serve Qwen/Qwen2.5-1.5B-Instruct --port 8000 - -# In your code: -import requests - -response = requests.post( - "http://localhost:8000/v1/completions", - json={ - "model": "Qwen/Qwen2.5-1.5B-Instruct", - "prompt": prompt, - "max_tokens": 512 - } -) -``` - -**Pros:** -- Easy to debug (inspect server logs) -- Can restart server without restarting training -- Separation of concerns - -**Cons:** -- HTTP overhead -- Separate GPU allocation needed -- More complex setup - -### Option C: Hybrid - -Use external for debugging/exploration, internal for production training. - -**All examples in this tutorial use Option A (Forge Generator).** We'll note where Option B could be used. - -## 4.1 Overview: The Complete Loop - -```python -async def play_task(task, policy, tokenizer, env, max_turns=10): - """Complete multi-turn tool calling loop.""" - - # 1. Episode Initialization - env_result = env.reset(task=task) - messages = [{"role": "user", "content": task}] - done = False - turn = 0 - - # Storage for episode - all_tokens = [] - all_logprobs = [] - response_mask = [] - - while not done and turn < max_turns: - # 2. Prompt Formatting - prompt = tokenizer.apply_chat_template( - messages, - tools=env.get_tools(), # Tool definitions - add_generation_prompt=True - ) - - # 3. Generation & Parsing - response = await policy.generate.route(prompt) - tool_call = parse_tool_call(response.text) - - # 4. Tool Execution (if tool call) - if tool_call: - result = env.execute_tool(tool_call) - messages.append({"role": "assistant", "tool_calls": [tool_call]}) - messages.append({"role": "tool", "content": result}) - - # 5. Token Collection (concatenate) - all_tokens.extend(response.token_ids) - all_logprobs.extend(response.logprobs) - response_mask.extend([1] * len(response.token_ids)) # Train on LLM output - - tool_tokens = tokenizer.encode(result) - all_tokens.extend(tool_tokens) - response_mask.extend([0] * len(tool_tokens)) # DON'T train on tool result - else: - # Final answer - messages.append({"role": "assistant", "content": response.text}) - all_tokens.extend(response.token_ids) - all_logprobs.extend(response.logprobs) - response_mask.extend([1] * len(response.token_ids)) - done = True - - turn += 1 - - # 6. Reward Computation - reward = env.get_final_reward() - - # 7. Create Episode - episode = Episode( - token_ids=all_tokens, - logprobs=all_logprobs, - response_mask=response_mask, - reward=reward - ) - - return episode -``` - -Let's break down each component. - -## 4.2 Component 1: Episode Initialization - -**Option A: From environment** -```python -env = OpenEnv(base_url="http://localhost:8001") -result = env.reset(task_id="create_task_1", domain="mock") - -# result.observation contains initial state -messages = [{"role": "user", "content": result.observation.info_state}] -``` - -**Option B: From task data** -```python -task_data = load_task("tau2bench/mock/create_task_1.json") -messages = [ - {"role": "system", "content": format_system_prompt(task_data["tools"])}, - {"role": "user", "content": task_data["ticket"]} -] -``` - -**Pros/Cons:** -- **Option A**: Cleaner, environment handles state -- **Option B**: More control, can customize prompts - -## 4.3 Component 2: Prompt Formatting with Tools - -### Option A: Manual Chat Template - -```python -def format_prompt(messages, tools): - # Build system prompt - tool_schemas = "\n".join([f"- {t['name']}: {t['description']}" for t in tools]) - system = f"You have access to:\n{tool_schemas}\nUse format: {{...}}" - - # Apply chat template - full_messages = [{"role": "system", "content": system}] + messages - return tokenizer.apply_chat_template(full_messages, add_generation_prompt=True) -``` - -### Option B: Renderer Pattern (Tinker) 🎯 - -**Clean abstraction for prompt formatting:** - -```python -# tinker_cookbook/renderers.py -class Renderer: - def build_generation_prompt(self, messages): - """Convert messages to tokenized prompt.""" - prompt_text = self.tokenizer.apply_chat_template( - messages, - tokenize=False, - add_generation_prompt=True - ) - tokens = self.tokenizer.encode(prompt_text) - return ModelInput(prompt=prompt_text, tokens=tokens) - - def parse_response(self, tokens): - """Parse model output to Message.""" - text = self.tokenizer.decode(tokens) - - # Check for tool calls - if "" in text: - tool_call = self._parse_tool_call(text) - return Message(role="assistant", tool_calls=[tool_call]) - else: - return Message(role="assistant", content=text) -``` - -**Why Tinker's approach is good:** -- Separation of concerns (rendering vs logic) -- Reusable across tasks -- Easy to test -- Handles tokenization details - -### Option C: vLLM Native (Verifiers) - -```python -# vLLM handles tool formatting automatically -prompt = tokenizer.apply_chat_template( - messages, - tools=tool_schemas, # Pass tools to tokenizer - add_generation_prompt=True -) -# vLLM formats tools based on model type -``` - -**When to use each:** -- **Manual**: Full control, debugging -- **Renderer** 🎯: Clean architecture, reusability -- **vLLM Native**: Model supports it, production-ready - -## 4.4 Component 3: Generation, Parsing, and Concurrency - -### Calling the Generator - -**Forge Generator (async):** -```python -response = await policy.generate.route( - prompt, - sampling_params={ - "temperature": 0.7, - "max_tokens": 512 - } -) -``` - -### Parsing Tool Calls - -**Text parsing (regex):** -```python -def parse_tool_call(text): - match = re.search(r'(.*?)', text) - if match: - return json.loads(match.group(1)) - return None -``` - -**Tag-based (Qwen example):** -```python -# tinker_cookbook/renderers.py -def parse_response(self, text): - match = re.search(r"(.*?)", text, re.DOTALL) - if match: - try: - tool_call = json.loads(match.group(1)) - return Message(role="assistant", tool_calls=[tool_call]) - except json.JSONDecodeError: - return Message(role="assistant", content=text) - return Message(role="assistant", content=text) -``` - -**Native (vLLM auto-parsing):** -```python -# response.choices[0] already has tool_calls populated by vLLM -if response.choices[0].message.tool_calls: - tool_call = response.choices[0].message.tool_calls[0] -``` - -**Note on `response.choices[0]`:** -- `generate()` can return N samples when `n > 1` -- We typically use first sample (`[0]`) in rollout -- For GRPO, we generate multiple samples per prompt (group_size) - -### vLLM Configuration Flags - -**For Forge Generator (Option A):** -```yaml -# apps/tau2bench/grpo/config.yaml -policy: - engine_args: - model: "Qwen/Qwen2.5-1.5B-Instruct" - - # Tool calling support - enable_auto_tool_choice: true # vLLM parses tool calls automatically - tool_call_parser: "hermes" # Format: hermes/mistral/llama/internlm - - # Performance - tensor_parallel_size: 1 - gpu_memory_utilization: 0.9 - enable_prefix_caching: true # Helps with multi-turn! -``` - -**Flag meanings:** -- `enable_auto_tool_choice`: Enables native tool call parsing -- `tool_call_parser`: Specifies parser format (model-dependent) -- `async_engine`: Enables AsyncLLM engine - # TODO: need to confirm if what we are doing is compatible with this - # TODO: explain why this would be helpful at all - -### Sample-Level Concurrency - -**Sequential (simple):** -```python -episodes = [] -for task in tasks: - episode = await play_task(task, ...) - episodes.append(episode) -``` - -**Parallel:** -```python -# Process all tasks concurrently -tasks_coroutines = [ - play_task(task, ...) - for task in tasks -] -episodes = await asyncio.gather(*tasks_coroutines) -``` - -**Performance benefit:** -- While Sample 1 waits for tool execution, Sample 2/3/4 continue generating -- Can achieve 2-4x speedup with variable-length episodes - -## 4.5 Component 4: Tool Execution - -### Tool Definition Approaches - -**Type-hinted Python functions (Verifiers)** 🎯: -```python -async def search_wiki(query: str) -> list[str]: - """Search Wikipedia for articles. - - Args: - query: Search query string - - Returns: - List of article titles - """ - return wikipedia.search(query) - -# Auto-convert to schema -tool_schema = convert_func_to_oai_tool(search_wiki) -``` - -**Tinker's approach** 🎯: -```python -# tinker_cookbook/recipes/tool_use/search/tools.py -class ToolClientInterface(ABC): - @abstractmethod - def get_tool_schemas(self) -> list[dict]: - """Returns tool definitions""" - ... - - @abstractmethod - async def invoke(self, tool_call: ToolCall) -> list[Message]: - """Executes tool and returns results""" - ... -``` - -**Manual schemas:** -```python -tools = [ - { - "name": "create_task", - "description": "Create a new task", - "parameters": { - "type": "object", - "properties": { - "user_id": {"type": "string"}, - "title": {"type": "string"} - }, - "required": ["user_id", "title"] - } - } -] -``` - -### Execution Patterns - -**Sequential:** -```python -for tool_call in tool_calls: - result = await execute_tool(tool_call) - results.append(result) -``` - -**Parallel:** -```python -# Execute all tools concurrently -tasks = [execute_tool(tc) for tc in tool_calls] -results = await asyncio.gather(*tasks) -``` - -**When parallel matters:** -- ✅ **Good for**: I/O-bound tools (API calls, database queries) -- ⚠️ **OK for**: Fast tools, debugging, simple cases (sequential is fine) - -## 4.6 Component 5: Message History Management - -### Explicit List Pattern (Tinker) - -```python -# tinker_cookbook/recipes/tool_use/search/search_env.py -class SearchEnv: - def __init__(self, ...): - self.past_messages: list[Message] = [] - - async def step(self, action): - # Parse response - message = self.renderer.parse_response(action) - self.past_messages.append(message) - - # Execute tools if needed - if "tool_calls" in message: - tool_result = await execute_tool(...) - self.past_messages.extend(tool_result) - - # Build next prompt - next_prompt = self.renderer.build_generation_prompt(self.past_messages) - return StepResult(next_observation=next_prompt, ...) -``` - -### Concatenated Storage (TRL, NeMo-RL) - -```python -# TRL pattern: concatenate all tokens -episode_tokens = [] -episode_logprobs = [] - -for turn in turns: - response = generate(...) - episode_tokens.extend(response.token_ids) # Concatenate - episode_logprobs.extend(response.logprobs) -``` - -### Token ID Storage in Messages (NeMo-RL) - -```python -# RL/nemo_rl/experience/rollouts.py -messages = [ - { - "role": "user", - "content": "Task prompt", - "token_ids": [101, 102, 103, ...] - }, - { - "role": "assistant", - "content": "Tool call...", - "token_ids": [345, 346, ...], - "generation_logprobs": [-0.1, -0.2, ...] - } -] -``` - -**Comparison:** - -| Approach | Pros | Cons | Use When | -|----------|------|------|----------| -| Explicit list | Clean, debuggable | Requires conversion | Research, clean code | -| Concatenated | Simple, direct | Hard to debug | Simple prototypes | -| Token IDs in msgs | Preserves structure | More complex | Production, flexibility | - -## 4.7 Component 6: Token Collection, Episode Storage, and Response Masking - -### Why Masking Matters - -**Problem**: Tool results are not model-generated, so we shouldn't train on them. - -```python -# Multi-turn episode: -Turn 1: User: "Create task" -Turn 2: Model: create_task(user_id="user_1", ...) # TRAIN on this -Turn 3: Tool: {"status": "success", "task_id": "task_123"} # DON'T TRAIN on this -Turn 4: Model: "Task created!" # TRAIN on this -``` - -**Without masking**: Model learns to predict tool results (impossible!) -**With masking**: Model only learns to predict its own outputs - -### Token Collection Strategies - -**Strategy A: Per-step Episodes** (simpler): -```python -# Each turn = separate Episode -episodes = [] -for step in game_steps: - episode = Episode( - game_id=game_id, - step_num=step_num, - completion=step["response"], - reward=final_game_reward # Same reward for all steps - ) - episodes.append(episode) -``` - -**Pros**: Simpler, matches Forge's current pattern -**Cons**: Can't share context between steps easily - -**Strategy B: Concatenated Episodes** (full trajectory): -```python -# All turns = one Episode -all_tokens = [] -all_logprobs = [] -response_mask = [] - -for turn in turns: - # LLM output - all_tokens.extend(llm_tokens) - all_logprobs.extend(llm_logprobs) - response_mask.extend([1] * len(llm_tokens)) # TRAIN - - # Tool result - all_tokens.extend(tool_tokens) - response_mask.extend([0] * len(tool_tokens)) # IGNORE - -episode = Episode( - token_ids=all_tokens, - logprobs=all_logprobs, - response_mask=response_mask, - reward=final_reward -) -``` - -**Pros**: Full trajectory, gradient flows through all turns -**Cons**: More complex - -### Building the Response Mask - -**During Rollout (VERL, NeMo-RL):** -```python -# verl/experimental/agent_loop/tool_agent_loop.py -response_mask = [] - -# LLM generates -agent_data.response_ids = output.token_ids -response_mask.extend([1] * len(agent_data.response_ids)) # TRAIN - -# Tool executes -tool_result_ids = tokenizer.encode(tool_result) -response_mask.extend([0] * len(tool_result_ids)) # DON'T TRAIN -``` - -**During Processing (Verifiers, Tinker)**: - -Tinker's trajectory→data conversion: - -```python -# tinker_cookbook/rl/data_processing.py -def trajectory_to_data(traj: Trajectory): - mask = [] - advantages = [] - - for transition in traj.transitions: - obs_len = len(transition.ob.tokens) # Environment observation - ac_len = len(transition.ac.tokens) # LLM action - - # Build mask - mask.extend([0.0] * obs_len) # DON'T train on observations - mask.extend([1.0] * ac_len) # TRAIN on actions - - # Assign advantages - advantages.extend([0] * obs_len) - advantages.extend([traj_advantage] * ac_len) - - return Datum( - model_input=input_tokens, - loss_fn_inputs={ - "mask": mask, - "advantages": advantages - } - ) -``` - -**Why Tinker's approach is good:** 🎯 -- Clean separation: rollout phase vs data processing phase -- Reusable across RL algorithms -- Easy to test and debug -- Explicit trajectory structure - -### Episode Storage Patterns - -**Forge-compatible Episode:** -```python -@dataclass -class Episode: - episode_id: str - - # Token data - token_ids: list[int] # Concatenated all turns - logprobs: list[float] # Per-token logprobs - response_mask: list[int] # 1=train, 0=ignore - - # Metadata - reward: float - num_turns: int - task_id: str - - # Optional: store messages for debugging - messages: list[dict] = None -``` - -## 4.8 Component 7: Reward Computation - -### Sparse Rewards (Tau2Bench, most RL) - -```python -# All intermediate steps: reward = 0.0 -for turn in range(max_turns): - if done: - break - response = generate(...) - env_result = env.step(response) - intermediate_reward = 0.0 # No reward yet - -# Final step: get actual reward -final_reward = env.get_final_reward() # 0.0 or 1.0 -``` - -### Dense Rewards (per-step shaping) - -```python -# OpenEnv/examples/grpo_blackjack/grpo_utils.py -final_game_reward = result.reward # +1, -1, or 0 - -# Optional: reward shaping -shaped_reward = final_game_reward -if final_game_reward > 0: - shaped_reward += 0.1 * num_correct_actions # Bonus for good actions -``` - -### Multiple Reward Signals (TRL pattern) - -```python -# trl/examples/scripts/openenv/wordle.py -def reward_correct(completions, **kwargs): - return kwargs.get("correct_reward", [0.0] * len(completions)) - -def reward_greens(completions, **kwargs): - return kwargs.get("green_reward", [0.0] * len(completions)) - -# In trainer -trainer = GRPOTrainer( - reward_funcs=[reward_correct, reward_greens], - reward_weights=[1.0, 0.5] # Weight each signal -) - -# Total reward = 1.0 * correct + 0.5 * greens -``` - -## 4.9 Component 8: Environment Integration - -### OpenEnv vs ToolEnv Comparison - -| Feature | OpenEnv | ToolEnv (Verifiers) | -|---------|---------|---------------------| -| **Purpose** | General environments | Tool calling tasks | -| **API** | Docker HTTP | Python functions | -| **Tools** | Environment-specific | Type-hinted functions | -| **Setup** | Docker containers | pip install | -| **Use for** | Training (flexible) | Evaluation (clean) | - -### Tinker's Environment API 🎯 - -```python -# tinker_cookbook/rl/environments.py -class Environment(ABC): - @abstractmethod - async def initial_observation(self) -> tuple[Observation, StopCondition]: - """Start episode, return initial state""" - ... - - @abstractmethod - async def step(self, action: Action) -> StepResult: - """Execute action, return result""" - ... - -@dataclass -class StepResult: - reward: float - episode_done: bool - next_observation: Observation - metrics: dict = field(default_factory=dict) -``` - -**Why Tinker's API is good:** 🎯 -- Standard gym-like interface -- Clear data structures -- Easy to implement new environments -- Separation of concerns - -### When to Use Each - -**Use OpenEnv when:** -- Training on diverse tasks -- Need sandboxed execution -- Want flexibility - -**Use ToolEnv when:** -- Evaluating on specific benchmarks -- Tools are Python functions -- Want clean, simple setup - -**Note**: Core functions stay env-agnostic. Environment is injected at app level. - ---- - -**Next**: Part 5 shows complete architectural patterns for Forge + Tau2Bench + OpenEnv. diff --git a/brainstorming_forge_tau/tutorials/4_complete_loop_components_v2.md b/brainstorming_forge_tau/tutorials/4_complete_loop_components_v2.md deleted file mode 100644 index b6063779c..000000000 --- a/brainstorming_forge_tau/tutorials/4_complete_loop_components_v2.md +++ /dev/null @@ -1,1483 +0,0 @@ -# Part 4: Complete Multi-Turn Tool Calling Loop (Components) - -This part breaks down all components needed for multi-turn tool calling - -## 4.1 Overview: Multi-Turn Tool Calling in Forge - -This shows how multi-turn tool calling extends Forge's current GRPO architecture. - -### Current Forge GRPO Flow (Single-Turn) - -```python -# Reference: apps/grpo/main.py - -# 1. Setup services (distributed actors via Monarch) -policy = Generator(...) # vLLM-based generation -trainer = TitanTrainer(...) # Training service -replay_buffer = ReplayBuffer(...) # Store episodes -ref_model = ReferenceModel(...) # Reference for KL -reward_actor = RewardActor(...) # Score responses - -# 2. Rollout loop (continuous_rollouts) -async def continuous_rollouts(): - while True: - # Sample prompt from dataset - sample = await dataloader.sample.call_one() - prompt, target = sample["prompt"], sample["target"] - - # Generate G responses (group) - responses = await policy.generate.route( - prompt, - n=group_size # e.g., 8 responses - ) - - # Score and create episodes - episodes = [] - for response in responses: - episode = Episode( - prompt_ids=response.prompt_ids, - completion=response, - reward=compute_reward(response.text, target), - ... - ) - episodes.append(episode) - - # Add to replay buffer - for episode in episodes: - await replay_buffer.add.call_one(episode) -``` - -**Key property**: One prompt → one response → one Episode (single-turn) - ---- - -### Multi-Turn Extension: Tool Calling with OpenEnv - -For tool calling, we extend this pattern to handle **multi-turn interactions** where: -- One task → multiple LLM generations + tool executions → one Episode -- Episode contains **concatenated tokens** from all turns - -**Note on Multiple Environments**: Tau2Bench has multiple domains (airline, retail, etc.). See Section 4.9 for how to handle training on mixed environments with different tools, max_turns, and rewards per domain. - -```python -# Reference: Adapted from apps/grpo/main.py for multi-turn -# OpenEnv RFC 001: "We separate tasks from environments" - -# 1. Setup services (same as before, plus environment) -policy = Generator(...) -trainer = TitanTrainer(...) -replay_buffer = ReplayBuffer(...) -ref_model = ReferenceModel(...) - -# STILL HAVE DATALOADER! -# Reference: OpenEnv/rfcs/001-abstractions.md:308-381 (TaskDataset) -dataloader = DataLoader(Tau2BenchDataset(...)) - -# NEW: Environment client for tool execution -# OpenEnv runs in Docker, provides tools/execution/rewards -# NOTE: For multiple domains, see Section 4.9 (CompositeDataset pattern) -env_client = Tau2BenchEnv.from_docker_image("tau2bench/airline:latest") - -# 2. Rollout loop (continuous_rollouts with multi-turn) -async def continuous_rollouts(): - while True: - # --- SAME: Sample task from dataloader --- - # Reference: OpenEnv RFC 001: "when training, it comes from a dataset" - task = await dataloader.sample.call_one() - # task.prompt: "Book a flight from SF to NYC on March 15th" - # task.ground_truth: Expected outcome for eval - # task.metadata: Any task-specific info - - # --- NEW: Reset environment (doesn't know the task) --- - # Reference: OpenEnv/src/core/http_env_client.py:142-154 - # Environment provides tools, NOT the task description - env_state = env_client.reset() - tool_schemas = env_state.observation.tools # Available tools - - # --- DIFFERENCE: Multi-turn rollout (play_task) --- - # Generate G samples for this task - episodes = [] - for _ in range(group_size): # G samples per task - episode = await play_task( - policy=policy, - task_prompt=task.prompt, # From dataloader - tool_schemas=tool_schemas, # From environment - env=env_client, - max_turns=10 - ) - episodes.append(episode) - - # --- SAME: Add to replay buffer --- - for episode in episodes: - await replay_buffer.add.call_one(episode) -``` - -**Key differences from single-turn:** - -| Aspect | Single-Turn (GSM8K) | Multi-Turn (Tau2Bench) | -|--------|---------------------|------------------------| -| **Dataloader** | ✅ `DataLoader(GSM8K)` | ✅ `DataLoader(Tau2Bench)` (still there!) | -| **Task source** | `task.prompt` | `task.prompt` (same!) | -| **Environment** | None | `env.reset()` provides tools | -| **Generation** | One `policy.generate()` | Loop of `policy.generate()` calls | -| **Actions** | None | `env.step(ToolCallAction)` for tools | -| **Episode tokens** | `response.token_ids` | Concatenated: `llm + tool + llm + ...` | -| **Reward source** | `reward_actor.evaluate(task.ground_truth)` | `env.step().reward` | -| **Multiple domains** | N/A | See Section 4.9 for mixing airline/retail/etc. | - -**Critical insight from OpenEnv RFC 001**: -- "We separate tasks from environments" (line 68) -- "when training/testing, it comes from a dataset" (line 30) -- Dataset provides: task prompts, ground truth for eval -- Environment provides: tools, execution, rewards - ---- - -### Multi-Turn Rollout (play_task) - -This replaces the single `policy.generate()` call in single-turn GRPO. - -```python -# Reference: OpenEnv/src/core/client_types.py (StepResult), RFC 004 (ToolCallAction) -from openenv.core.client_types import StepResult -from openenv.core.env_server import ToolCallAction - -async def play_task( - policy: Generator, - task_prompt: str, # From dataloader - tool_schemas: list[dict], # From env.reset() - env: Tau2BenchEnv, - max_turns: int = 10 -) -> Episode: - """ - Play one task to completion, return single Episode. - - Args: - policy: Generator actor for LLM generation - task_prompt: Task description from dataloader (e.g., "Book flight SF->NYC") - tool_schemas: Available tools from env.reset() - env: Environment client for tool execution - max_turns: Maximum conversation turns - - Replaces: single policy.generate() call - Returns: Episode with all turns concatenated - """ - - # Initialize messages with task from dataloader - messages = [{"role": "user", "content": task_prompt}] - - # Storage: concatenate all turns into single sequence - all_tokens = [] - all_logprobs = [] - response_mask = [] # 1=train, 0=skip - - done = False - turn = 0 - - while not done and turn < max_turns: - # 1. Format prompt with full history - prompt = tokenizer.apply_chat_template( - messages, - tools=tool_schemas, # From env.reset() - add_generation_prompt=True, - tokenize=False - ) - - # 2. Generate (SAME as single-turn) - response = await policy.generate.route(prompt, n=1) - - # 3. Parse tool call - tool_call = parse_tool_call(response.text) - - if tool_call: - # Tool execution path - # 4. Execute via environment - action = ToolCallAction( - tool_name=tool_call["name"], - parameters=tool_call["args"] - ) - result = env.step(action) # HTTP call to OpenEnv server - - # 5. Update messages - messages.append({"role": "assistant", "content": response.text}) - messages.append({"role": "tool", "content": result.observation.content}) - - # 6. Collect tokens - # LLM output - TRAIN - all_tokens.extend(response.token_ids) - all_logprobs.extend(response.logprobs) - response_mask.extend([1] * len(response.token_ids)) - - # Tool result - DON'T TRAIN - tool_tokens = tokenizer.encode(result.observation.content, add_special_tokens=False) - all_tokens.extend(tool_tokens) - all_logprobs.extend([0.0] * len(tool_tokens)) - response_mask.extend([0] * len(tool_tokens)) - - done = result.done - else: - # Final answer - messages.append({"role": "assistant", "content": response.text}) - - all_tokens.extend(response.token_ids) - all_logprobs.extend(response.logprobs) - response_mask.extend([1] * len(response.token_ids)) - - done = True - - turn += 1 - - # 7. Get reward from environment - # NOTE: In single-turn, reward comes from reward_actor.evaluate_response() - # In multi-turn, reward comes from environment state - final_reward = result.reward # 1.0 or 0.0 - - # 8. Create Episode (SAME structure as single-turn) - # Reference: apps/grpo/main.py:44-75 - completion = Completion( - prompt_ids=torch.tensor(prompt_ids), - token_ids=torch.tensor(all_tokens), - logprobs=torch.tensor(all_logprobs), - text=tokenizer.decode(all_tokens), - generator_version=0 - ) - - episode = Episode( - episode_id=str(uuid.uuid4()), - pad_id=tokenizer.pad_token_id or tokenizer.eos_token_id, - request_len=len(prompt_ids), - response_len=len(all_tokens), - target=None, # Tau2Bench doesn't expose ground truth - completion=completion, - ref_logprobs=None, # Computed later by ref_model - reward=final_reward, - advantage=None # Computed later with group - ) - - return episode -``` - -**Comparison to single-turn:** - -| Aspect | Single-Turn (GSM8K) | Multi-Turn (Tau2Bench) | -|--------|---------------------|------------------------| -| **Prompt source** | `dataloader.sample()` | `env.reset()` | -| **Generation** | One `policy.generate()` | Loop of `policy.generate()` calls | -| **Actions** | None (just generate text) | `env.step(ToolCallAction)` | -| **Episode tokens** | `response.token_ids` | Concatenated: `llm_tokens + tool_tokens + llm_tokens + ...` | -| **Reward source** | `reward_actor.evaluate_response()` | `env.step().reward` | -| **Episode structure** | Same `Episode` object | Same `Episode` object | - -**Key insight**: Multi-turn just extends the **rollout** phase. Training, replay buffer, and everything else stays the same. - ---- - -### Complete Flow Diagram - -``` -┌─────────────────────────────────────────────────────────────┐ -│ SINGLE-TURN (GSM8K) │ -├─────────────────────────────────────────────────────────────┤ -│ │ -│ dataloader.sample() ──→ task.prompt │ -│ ↓ │ -│ policy.generate(task.prompt, n=G) ──→ [responses 1..G] │ -│ ↓ │ -│ create Episode(response) │ -│ ↓ │ -│ replay_buffer.add(episode) │ -│ │ -└─────────────────────────────────────────────────────────────┘ - -┌─────────────────────────────────────────────────────────────┐ -│ MULTI-TURN (TAU2BENCH) │ -├─────────────────────────────────────────────────────────────┤ -│ │ -│ dataloader.sample() ──→ task.prompt │ -│ env.reset() ──→ tool_schemas │ -│ ↓ │ -│ FOR i in 1..G: │ -│ play_task(task.prompt, tool_schemas): │ -│ messages = [user: task.prompt] │ -│ WHILE not done: │ -│ policy.generate(messages) ──→ response │ -│ IF tool_call: │ -│ env.step(action) ──→ tool_result │ -│ messages.append(response, tool_result) │ -│ ELSE: │ -│ done = True │ -│ create Episode(all_tokens, env.reward) │ -│ ↓ │ -│ replay_buffer.add(episode) │ -│ │ -└─────────────────────────────────────────────────────────────┘ -``` - -**Key components:** -- **Dataloader**: Still samples tasks in both cases -- **Environment**: New in multi-turn, provides tools + execution + rewards -- **play_task**: Combines task.prompt (dataloader) + tool_schemas (env) - ---- - -### Training Loop (No Changes) - -```python -# Reference: apps/grpo/main.py - -# 3. Training loop (SAME as single-turn) -async def continuous_training(): - while True: - # Sample batch from replay buffer - batch = await replay_buffer.sample(batch_size) - - # Get reference logprobs - ref_logprobs = await ref_model.forward.route( - prompt_ids=batch["prompt_ids"], - response_ids=batch["response_ids"] - ) - - # Compute advantages (group-relative) - advantages = compute_group_advantages(batch["rewards"]) - - # Train on batch - await trainer.train_step( - inputs=batch["prompt_ids"], - targets=batch["response_ids"], - advantages=advantages, - ref_logprobs=ref_logprobs - ) - - # Update policy weights - version = await trainer.push_weights() - await policy.update_weights(version) -``` - -**No changes needed**: Training doesn't care if Episode came from single-turn or multi-turn. It just sees token sequences. - ---- - -### Summary - -**What changes for multi-turn tool calling:** -1. ✅ **Add Environment**: `env.reset()` to get tool schemas, `env.step()` for execution -2. ✅ **Rollout**: Replace `policy.generate()` with `play_task()` loop -3. ✅ **Reward source**: `env.step().reward` instead of `reward_actor.evaluate()` - -**What stays the same:** -1. ✅ **Dataloader**: Still samples tasks from dataset (`task.prompt`, `task.ground_truth`) -2. ✅ **Services**: Generator, Trainer, ReplayBuffer, RefModel -3. ✅ **Episode structure**: Same `Episode` dataclass -4. ✅ **Training loop**: Same GRPO algorithm -5. ✅ **Infrastructure**: Same Monarch actors - -**Separation of concerns (OpenEnv RFC 001)**: -- **Dataloader**: Provides task prompts and ground truth -- **Environment**: Provides tools, execution sandbox, and rewards -- **Agent/Policy**: Manages conversation history, tokenization, generation - -**The pattern is extensible**: -- Single-turn = special case where `play_task()` does 1 iteration -- Multi-turn = generalization where `play_task()` does N iterations - -Let's break down each component in detail below. - -## 4.2 Component 1: Episode Initialization and Prompt Formatting - -### How Tasks and Environments Work - -**Key Concept:** The dataset/task and environment are separate: -- **Dataset**: Contains task descriptions (tickets, questions, etc.) -- **Environment**: Provides tool execution, state management, and rewards - -**Pattern:** -```python -# 1. Load dataset -dataset = load_dataset("tau2bench/airline") -task = dataset[0] # {"ticket": "...", "tools": [...], "target": "..."} - -# 2. Create environment (knows tools, not the specific task) -env = Tau2Env(domain="airline") - -# 3. Initialize episode with task -result = env.reset(task_id=task["id"]) -``` - -### Concrete Example: Same Task, Three Approaches - -We'll use this example task across all approaches: - -**Task:** -```python -task = { - "ticket": "Book a flight from SF to NYC on March 15th", - "tools": [ - { - "name": "search_flights", - "description": "Search for available flights", - "parameters": { - "type": "object", - "properties": { - "origin": {"type": "string"}, - "destination": {"type": "string"}, - "date": {"type": "string"} - }, - "required": ["origin", "destination", "date"] - } - }, - { - "name": "book_flight", - "description": "Book a specific flight", - "parameters": { - "type": "object", - "properties": { - "flight_id": {"type": "string"} - }, - "required": ["flight_id"] - } - } - ] -} -``` - ---- - -### Option A: vLLM Native (tokenizer.apply_chat_template) - -**Where does the template come from?** -The tokenizer contains a Jinja2 template file that defines how to format messages and tools. - -**Example for Qwen:** -```python -# Reference: Qwen tokenizer includes tokenizer_config.json with chat_template field -# The template is a Jinja2 string like: -# "{% for message in messages %}..." - -from vllm.transformers_utils.tokenizer import get_tokenizer - -# 1. Load tokenizer (contains Jinja2 template) -tokenizer = get_tokenizer("Qwen/Qwen2.5-1.5B-Instruct") - -# 2. Build messages -messages = [ - {"role": "user", "content": task["ticket"]} -] - -# 3. Apply template (Jinja2 renders messages + tools) -prompt_text = tokenizer.apply_chat_template( - messages, - tools=task["tools"], # Tools injected into template - add_generation_prompt=True, - tokenize=False -) - -# 4. Tokenize -prompt_ids = tokenizer.encode(prompt_text, add_special_tokens=True) -``` - -**What `prompt_text` looks like (Qwen format):** -``` -<|im_start|>system -You are Qwen, created by Alibaba Cloud. You are a helpful assistant. - -# Tools - -You may call one or more functions to assist with the user query. - -You are provided with function signatures within XML tags: - -{"name": "search_flights", "description": "Search for available flights", "parameters": {...}} -{"name": "book_flight", "description": "Book a specific flight", "parameters": {...}} - - -For each function call, return a json object with function name and arguments within XML tags: - -{"name": , "arguments": } -<|im_end|> -<|im_start|>user -Book a flight from SF to NYC on March 15th<|im_end|> -<|im_start|>assistant -``` - -**How it works:** -- Tokenizer's Jinja2 template formats messages + tools automatically -- Model-specific (Qwen format shown above; Llama3 would be different) -- Used by: Forge, VERL, PrimeRL - ---- - -### Option B: Manual System Prompt + Renderer (Thinker) - -**Where does the template come from?** -You define the system prompt manually, then use a Renderer to apply the model's chat format. - -```python -# Reference: tinker-cookbook/tinker_cookbook/recipes/tool_use/search/search_env.py:33-76 -from tinker_cookbook.renderers import Qwen3Renderer -from vllm.transformers_utils.tokenizer import get_tokenizer - -# 1. Define system prompt template (you control this) -SYSTEM_PROMPT = """You are an expert assistant who solves tasks using tools. - -Available tools: -{tool_descriptions} - -Use format: {{"name": "tool_name", "args": {{...}}}}""" - -# 2. Format tool descriptions -tool_descriptions = "\n".join([ - f"- {tool['name']}: {tool['description']}" - for tool in task["tools"] -]) -system_content = SYSTEM_PROMPT.format(tool_descriptions=tool_descriptions) - -# 3. Build messages -messages = [ - {"role": "system", "content": system_content}, - {"role": "user", "content": task["ticket"]} -] - -# 4. Use Renderer to apply Qwen's chat format -tokenizer = get_tokenizer("Qwen/Qwen2.5-1.5B-Instruct") -renderer = Qwen3Renderer(tokenizer) -model_input = renderer.build_generation_prompt(messages) -prompt_ids = model_input.tokens # Already tokenized -``` - -**What the formatted prompt looks like (via Renderer):** -``` -<|im_start|>system -You are an expert assistant who solves tasks using tools. - -Available tools: -- search_flights: Search for available flights -- book_flight: Book a specific flight - -Use format: {"name": "tool_name", "args": {...}}<|im_end|> -<|im_start|>user -Book a flight from SF to NYC on March 15th<|im_end|> -<|im_start|>assistant -``` - -**How it works:** -- You manually format tool descriptions into system prompt -- Renderer applies model-specific chat template (Qwen format shown) -- Reference: `tinker_cookbook.renderers.Qwen3Renderer._render_message` (lines 333-358) -- Used by: Thinker, Verifiers - ---- - -### Option C: Environment-Provided Template - -**Where does the template come from?** -The environment or task definition provides the system prompt. - -```python -# Reference: How Tau2Bench or Thinker datasets might work - -# 1. Task includes pre-formatted system prompt -task = { - "ticket": "Book a flight from SF to NYC on March 15th", - "system_prompt": "You are a travel booking assistant...", # Pre-defined - "tools": [...] -} - -# 2. Or environment provides system prompt -from tinker_cookbook.recipes.tool_use.search import SearchEnv - -env = SearchEnv( - problem=task["ticket"], - answer=task["target"], - tool_client=tool_client, - renderer=renderer -) - -# Environment's initial_observation includes formatted prompt -observation, stop_condition = await env.initial_observation() -prompt_ids = observation.tokens # Already includes system + user message -``` - -**What the environment does internally:** -```python -# Reference: tinker-cookbook/.../search_env.py:122-127 -class SearchEnv: - async def initial_observation(self): - # Environment builds messages with its own system prompt - messages = [ - {"role": "system", "content": self.SYSTEM_PROMPT}, # Env-defined - {"role": "user", "content": self.problem} - ] - return self.renderer.build_generation_prompt(messages), stop_condition -``` - -**How it works:** -- Environment encapsulates system prompt logic -- Cleaner for researchers (don't worry about prompts) -- Used by: Thinker's environments - ---- - -### Comparison Table - -| Approach | Template Source | Tool Schema Location | Formatting | Who Manages Prompt | -|----------|----------------|----------------------|------------|-------------------| -| **Option A: vLLM Native** | Tokenizer's Jinja2 file | `tools=...` param | Tokenizer | You call `apply_chat_template` | -| **Option B: Manual + Renderer** | You define SYSTEM_PROMPT | System message | Renderer class | You build messages | -| **Option C: Environment** | Environment class | Environment config | Renderer (inside env) | Environment | - -**Recommendation:** -- **Option A** for production (if tokenizer supports tools) -- **Option B** for research/flexibility (Thinker's approach) -- **Option C** for clean experiment code (hide prompt details) - -All three produce similar prompts, just at different abstraction levels. - -## 4.3 Component 2: Generation and Parsing - -### Generation (Forge) -```python -# Reference: apps/grpo/main.py:373 -# Forge uses async Generator actor -response = await policy.generate.route( - prompt, # Can be string or token IDs - sampling_params={ - "temperature": 0.7, - "max_tokens": 512, - "n": 1 # Single sample in rollout, multiple for GRPO groups - } -) - -# response is a Completion object -# Reference: forge/data_models/completion.py -response.token_ids # List[int] -response.logprobs # List[float] -response.text # str -response.prompt_ids # List[int] -``` - -### Parsing Tool Calls - -**Option A: Regex-based (Thinker)** -```python -# Reference: tinker-cookbook/tinker_cookbook/renderers.py:394-430 -import re -import json - -def parse_tool_call(text): - """Parse ... tags.""" - match = re.search(r"(.*?)", text, re.DOTALL) - if not match: - return None - - try: - tool_call = json.loads(match.group(1)) - return { - "name": tool_call["name"], - "args": tool_call["args"] - } - except json.JSONDecodeError: - return None -``` - -**Option B: vLLM Native Parsing** -```python -# If using vLLM with enable_auto_tool_choice=true -# Reference: verl/verl/experimental/agent_loop/tool_agent_loop.py:99-101 - -# vLLM automatically populates tool_calls -if response.choices[0].message.tool_calls: - tool_call = response.choices[0].message.tool_calls[0] - # Already parsed! -else: - # Final answer - pass -``` - -**Clarification on `response.choices[0]`:** -- This is **OpenAI API format**, used when vLLM native tool calling is enabled -- Forge's internal Generator returns `Completion` object, not OpenAI format -- For Forge, use regex parsing on `response.text` - -### Handling Multiple Tool Calls - -**Example: Model calls multiple tools in one turn** -```python -# Model output: "Let me search for flights and hotels. -# {"name": "search_flights", "args": {"destination": "NYC"}} -# {"name": "search_hotels", "args": {"city": "NYC"}}" - -def parse_all_tool_calls(text): - """Parse multiple tool calls.""" - matches = re.findall(r"(.*?)", text, re.DOTALL) - tool_calls = [] - for match in matches: - try: - tool_call = json.loads(match) - tool_calls.append(tool_call) - except json.JSONDecodeError: - continue - return tool_calls if tool_calls else None -``` - -### Sample-Level Concurrency - -**Sequential (simple)** -```python -# Reference: apps/grpo/main.py:372-394 -episodes = [] -for task in tasks: - episode = await play_task(task, policy, tokenizer, env) - episodes.append(episode) -``` - -**Parallel (faster)** -```python -# Process all tasks concurrently -tasks_coroutines = [ - play_task(task, policy, tokenizer, env) - for task in tasks -] -episodes = await asyncio.gather(*tasks_coroutines) -``` - -**Why parallel?** -- While Sample 1 waits for tool execution, Sample 2/3 continue generating -- 2-4x speedup for variable-length episodes -- **OpenEnv locking**: Each task gets separate env instance, no locks needed - ```python - # Each task creates new environment - async def play_task(task, ...): - env = OpenSpielEnv(base_url=server_url) # Separate instance - ... - env.close() - ``` - -## 4.4 Component 3: Tool Execution - -### Tool Definition (Where is it used?) - -**Tool schemas are used in two places:** - -1. **Prompt formatting** (Section 4.2) - tells model what tools exist -2. **Tool execution** - maps tool name to actual function - -**Definition Pattern (Thinker):** -```python -# Reference: tinker-cookbook/tinker_cookbook/recipes/tool_use/search/tools.py:362-373 -from abc import ABC, abstractmethod - -class ToolClientInterface(ABC): - @abstractmethod - def get_tool_schemas(self) -> list[dict]: - """Returns OpenAI-compatible tool definitions.""" - ... - - @abstractmethod - async def invoke(self, tool_call: dict) -> list[dict]: - """Executes tool and returns result messages.""" - ... - -# Concrete implementation -class SearchToolClient(ToolClientInterface): - def get_tool_schemas(self): - return [ - { - "name": "search", - "description": "Search Wikipedia", - "parameters": { - "type": "object", - "properties": { - "query_list": { - "type": "array", - "items": {"type": "string"} - } - }, - "required": ["query_list"] - } - } - ] - - async def invoke(self, tool_call): - if tool_call["name"] == "search": - results = await self.search_wikipedia(tool_call["args"]["query_list"]) - return [{"role": "tool", "content": json.dumps(results)}] -``` - -**Usage in loop:** -```python -# 1. Get schemas for prompt -prompt = tokenizer.apply_chat_template( - messages, - tools=tool_client.get_tool_schemas(), # <-- Used here - add_generation_prompt=True -) - -# 2. Execute tool -tool_call = parse_tool_call(response.text) -if tool_call: - result_messages = await tool_client.invoke(tool_call) # <-- Used here - messages.extend(result_messages) -``` - -### Multiple Tool Execution - -**Sequential:** -```python -for tool_call in tool_calls: - result = await tool_client.invoke(tool_call) - messages.extend(result) -``` - -**Parallel (faster for I/O-bound tools):** -```python -# Execute all tools concurrently -tasks = [tool_client.invoke(tc) for tc in tool_calls] -results = await asyncio.gather(*tasks) - -for result in results: - messages.extend(result) -``` - -**When parallel matters:** -- Good for: API calls, database queries, web search -- Not needed for: Fast local tools (< 10ms) - -## 4.5 Component 4: Message History Management - -### Messages in Multi-Turn - -**Structure over turns:** -```python -# Turn 1 -messages = [ - {"role": "user", "content": "Search for flights to NYC"} -] - -# Model generates -messages.append({"role": "assistant", "content": "I'll search... ..."}) - -# Tool executes -messages.append({"role": "tool", "content": '{"flights": [...]}'}) - -# Turn 2 -# Model generates again (with all history) -messages.append({"role": "assistant", "content": "Based on results, I recommend..."}) -``` - -### Storage Patterns - -**Option A: Explicit List (Thinker)** -```python -# Reference: tinker-cookbook/tinker_cookbook/recipes/tool_use/search/search_env.py:118 -class SearchEnv: - def __init__(self, ...): - self.past_messages: list[dict] = [] - - async def step(self, action): - # Parse model response - message = renderer.parse_response(action) - self.past_messages.append(message) - - # Execute tools if needed - if "tool_calls" in message: - tool_results = await tool_client.invoke(message["tool_calls"][0]) - self.past_messages.extend(tool_results) - - # Build next prompt with all history - next_prompt = renderer.build_generation_prompt(self.past_messages) - return next_prompt -``` - -**Option B: Concatenated Tokens (Forge/VERL)** -```python -# Reference: apps/grpo/main.py:376-398, verl/.../tool_agent_loop.py:68-74 -# Store all tokens in single list -episode_tokens = [] -episode_logprobs = [] -response_mask = [] # Track what to train on - -for turn in turns: - # LLM output - episode_tokens.extend(llm_response.token_ids) - episode_logprobs.extend(llm_response.logprobs) - response_mask.extend([1] * len(llm_response.token_ids)) - - # Tool result - if tool_call: - tool_tokens = tokenizer.encode(tool_result, add_special_tokens=False) - episode_tokens.extend(tool_tokens) - episode_logprobs.extend([0.0] * len(tool_tokens)) # Dummy - response_mask.extend([0] * len(tool_tokens)) -``` - -**Does OpenEnv hold messages?** -- **No** - OpenEnv manages environment state (game state, task state), not messages -- Messages are maintained by your rollout loop -- Reference: `OpenEnv/examples/grpo_blackjack/grpo_utils.py:408-456` shows loop managing messages - -## 4.6 Component 5: Episode Storage and Response Masking - -### Why Masking Matters - -```python -# Multi-turn episode tokens: -# Turn 1: -"Create a task for user_1" # LLM output - TRAIN -"create_task(...)" # LLM output - TRAIN -'{"status": "success", "task_id": "123"}' # Tool output - DON'T TRAIN -# Turn 2: -"Task created successfully!" # LLM output - TRAIN -``` - -**Without masking**: Model learns to predict tool results (impossible!) -**With masking**: Model only learns its own outputs - -### Episode Structure (Forge) - -**Reference: apps/grpo/main.py:44-75** -```python -from dataclasses import dataclass -import torch - -@dataclass -class Episode: - episode_id: str - pad_id: int - request_len: int # Length of initial prompt - response_len: int # Length of all responses (all turns concatenated) - target: Any | None # Ground truth for evaluation - - # Processed data - completion: Completion | None # Contains token_ids, logprobs, text - ref_logprobs: torch.Tensor | None # From reference model - reward: float | None # From reward function - advantage: float | None # Computed with group - - @property - def request_tensor(self) -> torch.Tensor: - """Padded prompt tokens.""" - ... - - @property - def response_tensor(self) -> torch.Tensor: - """Padded response tokens.""" - ... -``` - -**What about response_mask?** -- Not stored in Episode (Forge's design choice) -- Computed during training from `completion.token_ids` -- Alternative: Add to Episode or Completion (see VERL approach) - -### Building Episodes from Messages - -**Converting messages → single Episode:** - -```python -# Reference: Adapted from apps/grpo/main.py:376-394 -def messages_to_episode(messages, tokenizer, reward, task_id): - """Convert multi-turn messages to single Episode.""" - - # 1. Extract initial prompt (everything up to first assistant message) - first_assistant_idx = next(i for i, m in enumerate(messages) if m["role"] == "assistant") - prompt_messages = messages[:first_assistant_idx] - - prompt = tokenizer.apply_chat_template( - prompt_messages, - add_generation_prompt=True, - tokenize=False - ) - prompt_ids = tokenizer.encode(prompt, add_special_tokens=True) - - # 2. Concatenate all responses - all_tokens = [] - all_logprobs = [] - - for i in range(first_assistant_idx, len(messages)): - message = messages[i] - text = message["content"] - - if message["role"] == "assistant": - # LLM output - has logprobs - tokens = tokenizer.encode(text, add_special_tokens=False) - all_tokens.extend(tokens) - # Note: Need to store logprobs during generation - all_logprobs.extend(message.get("logprobs", [0.0] * len(tokens))) - elif message["role"] == "tool": - # Tool output - dummy logprobs - tokens = tokenizer.encode(text, add_special_tokens=False) - all_tokens.extend(tokens) - all_logprobs.extend([0.0] * len(tokens)) - - # 3. Create Completion - completion = Completion( - prompt_ids=torch.tensor(prompt_ids), - token_ids=torch.tensor(all_tokens), - logprobs=torch.tensor(all_logprobs), - text=tokenizer.decode(all_tokens), - generator_version=0 - ) - - # 4. Create Episode - episode = Episode( - episode_id=str(uuid.uuid4()), - pad_id=tokenizer.pad_token_id or tokenizer.eos_token_id, - request_len=len(prompt_ids), - response_len=len(all_tokens), - target=None, - completion=completion, - ref_logprobs=None, - reward=reward, - advantage=None - ) - - return episode - -# Usage -episode = messages_to_episode(messages, tokenizer, reward=1.0, task_id="task_1") -``` - -**Building response_mask:** -```python -def build_response_mask(messages, first_assistant_idx): - """Build mask: 1 for LLM output, 0 for tool output.""" - mask = [] - - for i in range(first_assistant_idx, len(messages)): - message = messages[i] - tokens = tokenizer.encode(message["content"], add_special_tokens=False) - - if message["role"] == "assistant": - mask.extend([1] * len(tokens)) # TRAIN - elif message["role"] == "tool": - mask.extend([0] * len(tokens)) # DON'T TRAIN - - return mask -``` - -**How to use masks in training:** -- Pass to loss function (see `apps/grpo/main.py:127-138` for GRPO loss) -- Multiply per-token loss by mask before averaging - -## 4.7 Component 6: Reward Computation - -### Sparse Rewards (Most Common) - -**Pattern:** -```python -# Reference: tinker-cookbook/tinker_cookbook/recipes/tool_use/search/search_env.py:161-209 -# All intermediate steps get 0 reward -for turn in range(max_turns): - if done: - break - response = await generate(...) - intermediate_reward = 0.0 # No reward yet - -# Final step gets actual reward -final_reward = env.check_answer(final_response) # 1.0 or 0.0 -``` - -**Used by:** -- Tau2Bench: 1.0 for success, 0.0 for failure -- Thinker: `correct_answer` (1.0/0.0) + format penalty -- Forge GSM8K: `MathReward()` checks final answer - -### Multiple Reward Signals (Thinker Pattern) - -**Reference: tinker-cookbook/tinker_cookbook/recipes/tool_use/search/search_env.py:196-209** -```python -# Thinker: Separate reward components -def compute_reward(response, ground_truth): - correct_format = float(check_format(response)) # 1.0 or 0.0 - correct_answer = float(check_answer(response, ground_truth)) # 1.0 or 0.0 - - # Combine with weights - format_coef = -1.0 # Penalty for bad format - total_reward = format_coef * (correct_format - 1) + correct_answer - return total_reward - -# Example: -# - Good answer, good format: -1.0 * (1.0 - 1) + 1.0 = 1.0 -# - Good answer, bad format: -1.0 * (0.0 - 1) + 1.0 = 2.0 -# - Bad answer, good format: -1.0 * (1.0 - 1) + 0.0 = 0.0 -# - Bad answer, bad format: -1.0 * (0.0 - 1) + 0.0 = 1.0 -``` - -**Forge Pattern:** -```python -# Reference: apps/grpo/main.py:334-336 -from forge.data.rewards import MathReward, ThinkingReward - -reward_functions = [MathReward(), ThinkingReward()] - -total_reward = sum( - reward_fn(prompt, response, target) - for reward_fn in reward_functions -) -avg_reward = total_reward / len(reward_functions) -``` - -**Key Difference:** -- **Thinker**: Combines rewards with explicit coefficients -- **Forge**: Averages multiple reward functions -- **Both**: Sparse (only at episode end) - -### Reward Shaping (Optional) - -**Reference: OpenEnv/examples/grpo_blackjack/grpo_utils.py:256-268** -```python -# Base reward from environment -base_reward = env.get_final_reward() # +1 (win), -1 (loss), 0 (draw) - -# Optional shaping -shaped_reward = base_reward -if base_reward > 0: - shaped_reward = 2.0 # Amplify wins -elif base_reward == 0: - shaped_reward = 0.5 # Draws better than losses -else: - shaped_reward = -1.0 # Losses - -# Use shaped_reward for training -``` - -**When to use:** -- Sparse rewards are too delayed -- Want to bias learning toward certain behaviors -- **Caution**: Can introduce bias, use carefully - -### How Environment Knows Reward - -**With Environment:** -```python -# Reference: tinker-cookbook/.../search_env.py:140-148 -class SearchEnv: - def __init__(self, problem, answer, ...): - self.problem = problem - self.answer = answer # Ground truth stored - - def check_answer(self, response): - model_answer = self._extract_answer(response) - for gold_answer in self.answer: - if normalize_answer(model_answer) == normalize_answer(gold_answer): - return True - return False - - async def step(self, action): - ... - if episode_done: - reward = float(self.check_answer(action)) - return StepResult(reward=reward, episode_done=True, ...) -``` - -**Without Environment:** -```python -# You provide reward function -def compute_reward(response, target): - # Your logic - return 1.0 if check_correct(response, target) else 0.0 - -# In loop -reward = compute_reward(final_response, task["target"]) -``` - -## 4.8 Component 7: Environment Integration - -### Thinker's Environment API (Recommended) - -**Reference: tinker-cookbook/tinker_cookbook/rl/types.py** -```python -from abc import ABC, abstractmethod -from dataclasses import dataclass - -class Environment(ABC): - @abstractmethod - async def initial_observation(self) -> tuple[Observation, StopCondition]: - """Start episode, return initial state.""" - ... - - @abstractmethod - async def step(self, action: Action) -> StepResult: - """Execute action, return result.""" - ... - -@dataclass -class StepResult: - reward: float - episode_done: bool - next_observation: Observation - next_stop_condition: StopCondition - metrics: dict = field(default_factory=dict) -``` - -**Why this is good:** -- Standard gym-like interface -- Clear separation: env manages state, you manage policy -- Easy to implement new environments -- Used by Thinker, similar to gym - -**Example Implementation:** -```python -# Reference: tinker-cookbook/.../search_env.py:100-219 -class SearchEnv(Environment): - def __init__(self, problem, answer, tool_client, renderer, ...): - self.problem = problem - self.answer = answer - self.tool_client = tool_client - self.renderer = renderer - self.past_messages = [] - - async def initial_observation(self): - messages = [ - {"role": "system", "content": SYSTEM_PROMPT}, - {"role": "user", "content": self.problem} - ] - self.past_messages = messages - prompt = self.renderer.build_generation_prompt(messages) - return prompt, stop_condition - - async def step(self, action): - # Parse response - message, parse_success = self.renderer.parse_response(action) - self.past_messages.append(message) - - # Execute tools if needed - if "tool_calls" in message: - tool_result = await self.tool_client.invoke(message["tool_calls"][0]) - self.past_messages.extend(tool_result) - - # Continue episode - next_prompt = self.renderer.build_generation_prompt(self.past_messages) - return StepResult( - reward=0.0, - episode_done=False, - next_observation=next_prompt, - ... - ) - else: - # Final answer - correct = self.check_answer(message["content"]) - return StepResult( - reward=float(correct), - episode_done=True, - next_observation=None, - ... - ) -``` - -### OpenEnv vs Thinker ToolEnv vs No Env - -| Feature | OpenEnv | Thinker ToolEnv | No Env | -|---------|---------|-----------------|--------| -| **API** | Docker HTTP | Python ABC | You implement | -| **Tools** | Env-specific | Tool client | You provide | -| **Setup** | Docker containers | `pip install` | Minimal | -| **State** | Env manages | Env manages | You manage | -| **Best for** | Complex envs (browsers, games) | Tool calling tasks | Simple tasks | -| **Example** | Tau2Bench airline tasks | Wikipedia search | Math reasoning | - -**When to use each:** -- **OpenEnv**: Training on diverse, sandboxed environments (Tau2Bench) -- **Thinker ToolEnv**: Clean tool calling with Python functions -- **No Env**: Simple tasks, full control over loop - -### Using Thinker's Env in Forge - -```python -# Forge app using Thinker's environment -async def play_task(task, policy, renderer, env): - # 1. Get initial observation - observation, stop_condition = await env.initial_observation() - - done = False - all_tokens = [] - all_logprobs = [] - - while not done: - # 2. Generate - response = await policy.generate.route(observation.prompt) - - # 3. Step environment - step_result = await env.step(response.token_ids) - - # 4. Collect tokens - all_tokens.extend(response.token_ids) - all_logprobs.extend(response.logprobs) - - # 5. Check if done - done = step_result.episode_done - observation = step_result.next_observation - - # 6. Create Episode with final reward - reward = step_result.reward - episode = Episode(...) # As in section 4.7 - return episode -``` - -**Key Point**: Core RL loop stays env-agnostic. Environment is injected at app level. - ---- - -## 4.9 Handling Multiple Environments (WebSearch + Coding, etc.) - -### The Challenge - -Tau2Bench has multiple domains (airline, retail, etc.) and you may want to train on a mix. Similarly, you might want to train on both websearch and coding tasks. Each domain/task type has: -- Different tools -- Different max_turns -- Different reward functions -- Different evaluation criteria - -### Recommended Pattern: Tinker's `CompositeDataset` - -**Location**: See full research in `/home/felipemello/forge/brainstorming_forge_tau/4_examples_APIs.md` section "Handling Multiple Environments" - -#### Core Abstraction: `EnvGroupBuilder` - -Every environment implements this interface: - -```python -# Based on tinker_cookbook/rl/types.py:64-108 - -class EnvGroupBuilder(ABC): - """ - Builds a group of environments. Used for: - - GRPO groups (e.g., 8 copies for one problem) - - Mixed environment training - """ - - @abstractmethod - async def make_envs(self) -> Sequence[Env]: - """Create a group of environments (e.g., 8 copies for GRPO)""" - pass - - def logging_tags(self) -> list[str]: - """Tags for logging (e.g., ['airline'], ['retail'])""" - return [] -``` - -#### Mixing Environments: `CompositeDataset` - -```python -class CompositeDataset: - """Mix multiple datasets at the batch level.""" - - def __init__(self, datasets: List[RLDataset], groups_per_batch_list: List[int]): - self.datasets = datasets - self.groups_per_batch_list = groups_per_batch_list - - def get_batch(self, i_batch: int) -> tuple[List[EnvGroupBuilder], List[int]]: - """ - Get a batch by sampling from each dataset. - - Returns: - env_group_builders: List of all env group builders (mixed!) - dataset_indices: Which dataset each builder came from - """ - all_env_group_builders = [] - all_dataset_indices = [] - - for dataset_idx, (dataset, groups_per_batch) in enumerate( - zip(self.datasets, self.groups_per_batch_list) - ): - env_group_builders = dataset.get_batch(i_batch) - all_env_group_builders.extend(env_group_builders) - all_dataset_indices.extend([dataset_idx] * groups_per_batch) - - return all_env_group_builders, all_dataset_indices -``` - -#### Example: Airline + Retail Tasks - -```python -# 1. Define environment builders for each domain -airline_env_builder = Tau2BenchEnvGroupBuilder( - domain="airline", - tools=[book_flight, cancel_reservation, ...], - max_turns=10, - dataset_name="airline" -) - -retail_env_builder = Tau2BenchEnvGroupBuilder( - domain="retail", - tools=[search_products, add_to_cart, ...], - max_turns=15, - dataset_name="retail" -) - -# 2. Create datasets -airline_dataset = Tau2BenchDataset(domain="airline") -retail_dataset = Tau2BenchDataset(domain="retail") - -# 3. Mix with CompositeDataset -mixed_dataset = CompositeDataset( - datasets=[airline_dataset, retail_dataset], - groups_per_batch_list=[50, 50] # 50 airline + 50 retail per batch -) - -# 4. Use in Forge rollout -async def continuous_rollouts(): - while True: - # Get mixed batch - env_group_builders, dataset_indices = mixed_dataset.get_batch(batch_idx) - - # Each builder knows its own environment configuration! - for builder in env_group_builders: - # builder has: - # - Its own tools (airline vs retail) - # - Its own max_turns - # - Its own reward function - episodes = await play_task_with_env_builder( - policy=policy, - env_builder=builder, - ) - - # Logging automatically separates by domain (via builder.logging_tags()) -``` - -#### Why This Works - -- ✅ **Different tools** per environment (airline vs retail) -- ✅ **Different max_turns** per environment -- ✅ **Different rewards** per environment (domain-specific rubrics) -- ✅ **Unified training loop** (no special casing needed) -- ✅ **Separate metrics** (via logging_tags: ['airline'], ['retail']) -- ✅ **Flexible mixing ratios** (control via groups_per_batch_list) -- ✅ **Batch-level mixing**: Each batch contains groups from multiple datasets -- ✅ **Decentralized**: Each `EnvGroupBuilder` is self-contained - -#### Simpler Alternative: Manual Routing - -If you don't need the full flexibility, implement simple routing: - -```python -# Map domain to environment configuration -task_to_env = { - "airline": (airline_tools, airline_max_turns, airline_reward_fn), - "retail": (retail_tools, retail_max_turns, retail_reward_fn), -} - -async def play_task(task_sample, policy, tokenizer): - domain = task_sample["domain"] - tools, max_turns, reward_fn = task_to_env[domain] - - # Use domain-specific configuration - episode = await multi_turn_rollout( - task=task_sample, - policy=policy, - tools=tools, - max_turns=max_turns, - ) - - episode.reward = reward_fn(episode) - return episode -``` - -**Recommendation**: Start with manual routing for simplicity. Upgrade to `CompositeDataset` pattern if you need: -- Fine-grained control over mixing ratios -- Separate logging per domain -- Easy addition of new domains - ---- - -**Next**: Part 5 shows complete architectural patterns for Forge + Tau2Bench. diff --git a/brainstorming_forge_tau/tutorials/4_forge_ideal_state.md b/brainstorming_forge_tau/tutorials/4_forge_ideal_state.md deleted file mode 100644 index 2117aba01..000000000 --- a/brainstorming_forge_tau/tutorials/4_forge_ideal_state.md +++ /dev/null @@ -1,293 +0,0 @@ - -** WORK IN PROGRESS -- NEEDS CHANGES / CLEANUP / DETAILS ** - -# Part 4.0: What a Multi-Turn Tool Calling with Forge + vLLM + OpenEnv would look like - -For tool calling, we extend Forge's GRPO pattern to handle **multi-turn interactions** where: -- One task → multiple LLM generations + tool executions → one Episode -- Episode contains **concatenated tokens** from all turns -- Training and replay buffer logic remains unchanged - -**Key Principle:** Multi-turn only changes the **rollout phase**. Training stays the same. - ---- - -## Setup: Services + Multi-Environment Support - -Notice that an Env in OpenEnv is a **tool execution environment**. It doesn't know about tasks. It only knows about tools. -Other Envs may have more responsabilities, such as holding history conversation and providing the data. - -```python -# 1. Setup services (same as single-turn, plus environments) -policy = Generator(...) -trainer = TitanTrainer(...) -replay_buffer = ReplayBuffer(...) -ref_model = ReferenceModel(...) - -# Dataloader provides tasks (prompts + metadata) -dataloader = DataLoader(Tau2BenchDataset(...)) - -# Task-based routing -# Different environments = different tools, max_turns, rewards -env_map = { - "websearch": WebSearchEnv.from_docker_image("tau2bench/websearch:latest"), - "coding": CodingEnv.from_docker_image("tau2bench/coding:latest"), - "airline": AirlineEnv.from_docker_image("tau2bench/airline:latest"), -} - -# Environment-specific configuration -max_turns_config = { - "websearch": 10, - "coding": 15, - "airline": 8, -} -``` - -**References:** -- Verifiers: `verifiers/envs/env_group.py` -- Tinker: `tinker-cookbook/distillation/datasets.py:45-83` - ---- - -## Rollout Loop: Multi-Turn with Environment Routing - -```python -# 2. Rollout loop (continuous_rollouts with multi-turn) -async def continuous_rollouts(): - while True: - # Sample task from dataloader - task = await dataloader.sample.call_one() - # task.prompt: "Book a flight from SF to NYC on March 15th" - # task.task_type: "websearch" | "coding" | "airline" - # task.metadata: Additional task-specific info - - # Route to correct environment based on task type - env_client = env_map[task.task_type] - max_turns = max_turns_config[task.task_type] - - # Reset environment to get tools (env doesn't know the task) - # Reference: OpenEnv/src/core/http_env_client.py:142-154 - env_state = env_client.reset() - tool_schemas = env_state.observation.tools # Available tools for this env - - # Generate G samples for this task - # TODO: Investigate parallelizing with asyncio.gather() instead of sequential - episodes = [] - for _ in range(group_size): # G samples per task - episode = await play_task( - policy=policy, - task_prompt=task.prompt, # From dataloader - tool_schemas=tool_schemas, # From environment - env=env_client, - max_turns=max_turns - ) - episodes.append(episode) - - # Add to replay buffer (same as single-turn) - for episode in episodes: - await replay_buffer.add.call_one(episode) -``` - -**Critical insight:** Dataset provides tasks, environment provides tools. They are separate. - ---- - -## Multi-Turn Rollout: play_task() - -This replaces the single `policy.generate()` call in single-turn GRPO. - -```python -# Reference: OpenEnv/src/core/client_types.py (StepResult) -from openenv.core.client_types import StepResult -from openenv.core.env_server import ToolCallAction - -async def play_task( - policy: Generator, - task_prompt: str, # From dataloader - tool_schemas: list[dict], # From env.reset() - env: OpenEnvClient, - max_turns: int = 10 -) -> Episode: - """ - Play one task to completion, return single Episode. - - Args: - policy: Generator actor for LLM generation - task_prompt: Task from dataloader (e.g., "Book flight SF->NYC") - tool_schemas: Available tools from env.reset() - env: Environment client for tool execution - max_turns: Maximum conversation turns - - Returns: - Episode with all turns concatenated - """ - - # Initialize conversation with task - # System prompt handled by tokenizer.apply_chat_template() with tools= - # Or dataset can provide task.system_prompt if needed - messages = [{"role": "user", "content": task_prompt}] - - # Storage: concatenate all turns into single sequence - all_tokens = [] - all_logprobs = [] - response_mask = [] # 1=train on LLM output, 0=skip tool results - metadata = {} # Track episode stats - - done = False - turn = 0 - - while not done and turn < max_turns: - # 1. Format prompt with conversation history + tools - # Tokenizer injects system prompt with tool definitions when tools= is passed - prompt = tokenizer.apply_chat_template( - messages, - tools=tool_schemas, # From env.reset() - add_generation_prompt=True, - tokenize=False - ) - - # 2. Generate response - response = await policy.generate.route(prompt, n=1) - - # 3. Parse tool call from response - # Using Tinker pattern: XML tags ... - # Alternative: vLLM native parsing with tool_call_parser="hermes" (see Appendix) - tool_calls = parse_tool_calls(response.text) # Returns list of tool calls - - if tool_calls: - # Tool execution path - # Add assistant message with tool calls - messages.append({ - "role": "assistant", - "content": response.text, - "tool_calls": tool_calls # Structured tool call data - }) - - # Collect LLM output tokens - TRAIN on these - all_tokens.extend(response.token_ids) - all_logprobs.extend(response.logprobs) - response_mask.extend([1] * len(response.token_ids)) - - # Execute tools (parallel if multiple calls) - # TODO: Confirm environment can handle parallel requests - try: - tool_tasks = [ - env.execute_tool(tc["name"], tc["args"]) - for tc in tool_calls - ] - tool_results = await asyncio.gather(*tool_tasks) - except Exception as e: - # Handle tool execution errors - tool_results = [{"content": f"Error: {str(e)}"}] - - # Add tool results to messages and tokens - for tool_result in tool_results: - tool_content = tool_result.content - - # Truncate long tool responses to avoid context overflow - tool_tokens = tokenizer.encode(tool_content, add_special_tokens=False) - tool_tokens = truncate(tool_tokens, max_length=256) - # TODO: Decide where truncate() lives (env vs rollout loop vs utility) - tool_content = tokenizer.decode(tool_tokens) - - # Add tool result to messages - messages.append({ - "role": "tool", - "content": tool_content - }) - - # Collect tool result tokens - DON'T TRAIN on these - all_tokens.extend(tool_tokens) - all_logprobs.extend([0.0] * len(tool_tokens)) - response_mask.extend([0] * len(tool_tokens)) - - # Check if environment signals done - done = tool_results[-1].get("done", False) if tool_results else False - - else: - # Final answer (no tool call) - messages.append({ - "role": "assistant", - "content": response.text - }) - - # Collect final response tokens - TRAIN on these - all_tokens.extend(response.token_ids) - all_logprobs.extend(response.logprobs) - response_mask.extend([1] * len(response.token_ids)) - - done = True - - turn += 1 - - # Populate episode metadata - metadata = { - "num_turns": turn, - "truncated": turn >= max_turns, - # other stats... - } - - # Get final reward from environment - final_reward = env.get_reward(messages) #TODO: confirm messages as input - - # Create Episode - # TODO: this abstraction will have to change. It was created for single-turn. - completion = Completion( - prompt_ids=None, # Not stored (can reconstruct from messages) - token_ids=torch.tensor(all_tokens), - logprobs=torch.tensor(all_logprobs), - text=tokenizer.decode(all_tokens), - generator_version=0 - ) - - episode = Episode( - episode_id=str(uuid.uuid4()), - pad_id=tokenizer.pad_token_id or tokenizer.eos_token_id, - request_len=0, # Varies per turn, not fixed - response_len=len(all_tokens), - target=None, # Tau2Bench doesn't expose ground truth during training - completion=completion, - response_mask=torch.tensor(response_mask), # NEW: Mask for training - ref_logprobs=None, # Computed later by ref_model - reward=final_reward, - advantage=None, # Computed later with group - metadata=metadata # NEW: Episode statistics - ) - - return episode -``` -## Training Loop - -Stays the same, but we add `response_mask` - -```python -# Reference: apps/grpo/main.py - -# 3. Training loop (minimal changes - just add response_mask) -async def continuous_training(): - while True: - # Sample batch from replay buffer - batch = await replay_buffer.sample(batch_size) - - # Get reference logprobs - ref_logprobs = await ref_model.forward.route( - prompt_ids=batch["prompt_ids"], - response_ids=batch["response_ids"] - ) - - # Compute advantages (group-relative) - advantages = compute_group_advantages(batch["rewards"]) - - # Train on batch with response mask - await trainer.train_step( - inputs=batch["prompt_ids"], - targets=batch["response_ids"], - advantages=advantages, - ref_logprobs=ref_logprobs, - response_mask=batch["response_mask"], # NEW: Mask tool results - ) - - # Update policy weights - version = await trainer.push_weights() - await policy.update_weights(version) -``` diff --git a/brainstorming_forge_tau/tutorials/5_architectural_patterns.md b/brainstorming_forge_tau/tutorials/5_architectural_patterns.md deleted file mode 100644 index cc08705db..000000000 --- a/brainstorming_forge_tau/tutorials/5_architectural_patterns.md +++ /dev/null @@ -1,1145 +0,0 @@ -# Part 5: Architectural Patterns for Forge + Tau2Bench + OpenEnv - -**CRITICAL NOTE**: All patterns use the Forge stack: -- **Forge Generator** (internal vLLM via Monarch actors) - NOT external HTTP server -- **OpenEnv** for tool execution and training -- **Tau2Bench** for tasks and evaluation -- **vLLM** engine (internal to Forge Generator) - -## Pattern A: Simple Sequential + Token Concatenation (TRL-inspired) - -### Summary - -**What it is**: Concatenate all turns into one sequence, train as single episode. Each turn's tokens are appended to the same lists. - -**When to use**: Simplest implementation for prototypes, proven pattern from TRL, good starting point before adding complexity. - -### YAML Configuration - -```yaml -# examples/tau2bench/grpo/simple_concat.yaml -policy: - type: "Generator" - model_path: "Qwen/Qwen2.5-1.5B-Instruct" - engine_args: - tensor_parallel_size: 1 - gpu_memory_utilization: 0.9 - max_model_len: 2048 - -trainer: - type: "TitanTrainer" - learning_rate: 1e-5 - beta: 0.1 # KL penalty - -rollout: - group_size: 8 # GRPO group - max_turns: 10 # Max turns per episode - concurrent_tasks: 4 # Process 4 tasks in parallel - -openenv: - base_url: "http://localhost:8001" - timeout: 30 -``` - -### Complete Code - -```python -# examples/tau2bench/grpo/simple_concat_pattern.py - -async def play_task_simple( - task_prompt: str, - policy: Generator, - tokenizer, - env_client: OpenEnv, - max_turns: int = 10, -): - """ - Simple multi-turn loop with token concatenation. - Adapted from TRL pattern, but uses Forge Generator. - """ - # Initialize - env_result = env_client.reset(task=task_prompt) - messages = [{"role": "user", "content": task_prompt}] - - # Storage for ENTIRE episode (all turns concatenated) - episode_tokens = [] - episode_logprobs = [] - done = False - turn = 0 - - while not done and turn < max_turns: - # 1. Format prompt - prompt = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=False - ) - - # 2. Generate using Forge Generator - response = await policy.generate.route( - prompt, - sampling_params={"temperature": 0.7, "max_tokens": 256} - ) - - # 3. CRITICAL: Concatenate tokens (TRL's trick) - prompt_ids = tokenizer.encode(prompt, add_special_tokens=False) - completion_ids = response.token_ids - - episode_tokens.extend(prompt_ids) - episode_tokens.extend(completion_ids) - episode_logprobs.extend(response.logprobs) - - # 4. Parse tool call - tool_call = parse_tool_call(response.text) - - if tool_call: - # Execute tool via OpenEnv - env_result = env_client.step(tool_call) - - # Add to message history - messages.append({ - "role": "assistant", - "content": response.text, - "tool_calls": [tool_call] - }) - messages.append({ - "role": "tool", - "content": env_result.observation.text - }) - - done = env_result.done - else: - # Final answer (no tool call) - messages.append({ - "role": "assistant", - "content": response.text - }) - done = True - - turn += 1 - - # 5. Get final reward - final_reward = env_result.reward if env_result.done else 0.0 - - # 6. Create episode (entire multi-turn = one sequence) - episode = { - "token_ids": episode_tokens, - "logprobs": episode_logprobs, - "reward": final_reward, - "num_turns": turn - } - - return episode - - -def parse_tool_call(text: str): - """Simple regex-based parser.""" - match = re.search(r'(.*?)', text, re.DOTALL) - if match: - try: - return json.loads(match.group(1)) - except json.JSONDecodeError: - return None - return None -``` - -**Adaptation for External vLLM (Option B):** -```python -# Replace Forge Generator call with HTTP request -import requests - -response = requests.post( - "http://localhost:8000/v1/completions", - json={"prompt": prompt, "max_tokens": 256} -) -result = response.json() -episode_tokens.extend(result["choices"][0]["token_ids"]) -``` - -### Key Insights - -✅ **Simplest pattern**: Easy to understand and implement -✅ **Token concatenation is THE trick**: All turns become one sequence -✅ **Works well**: Proven by TRL on various tasks -✅ **No masking**: Trains on everything (including tool results) - acceptable for simple cases -⚠️ **Limitation**: No response masking means training on tool outputs - -**Trade-offs:** -- **Pros**: Simple, direct, easy to debug -- **Cons**: No masking (less efficient), harder to extend -- **Best for**: Prototypes, initial experiments, simple tasks - -## Pattern B: Clean Abstractions with Renderer (Tinker-inspired) 🎯 - -### Summary - -**What it is**: Use Renderer pattern for prompt formatting, clean Environment API, explicit trajectory processing with response masking. - -**When to use**: Research projects, need reusability, want clean maintainable code that's easy to extend and debug. **Recommended for production Forge implementation.** - -### YAML Configuration - -```yaml -# examples/tau2bench/grpo/tinker_pattern.yaml -policy: - type: "Generator" - model_path: "Qwen/Qwen2.5-1.5B-Instruct" - engine_args: - tensor_parallel_size: 1 - gpu_memory_utilization: 0.9 - -renderer: - type: "Qwen3Renderer" # Model-specific renderer - -environment: - type: "OpenEnvToolEnv" - base_url: "http://localhost:8001" - max_turns: 10 - -rollout: - group_size: 8 - trajectory_processing: "with_masking" # Enable response masking -``` - -### Complete Code - -**1. Renderer (Tinker pattern)** 🎯 - -```python -# forge/utils/renderers.py - -class Renderer(ABC): - """Abstract base for model-specific rendering.""" - - @abstractmethod - def build_generation_prompt(self, messages: list[dict]): - """Convert message history to model input.""" - ... - - @abstractmethod - def parse_response(self, response_tokens: list[int]): - """Parse model output to Message.""" - ... - - -class Qwen3Renderer(Renderer): - """Qwen-specific renderer with tool calling support.""" - - def __init__(self, tokenizer): - self.tokenizer = tokenizer - - def build_generation_prompt(self, messages: list[dict]): - """Build prompt from message history.""" - prompt_text = self.tokenizer.apply_chat_template( - messages, - tokenize=False, - add_generation_prompt=True - ) - tokens = self.tokenizer.encode(prompt_text, add_special_tokens=False) - - return ModelInput( - prompt=prompt_text, - tokens=tokens - ) - - def parse_response(self, response_tokens: list[int]): - """Parse response for tool calls.""" - text = self.tokenizer.decode(response_tokens, skip_special_tokens=True) - - # Check for tool call tag - match = re.search(r"(.*?)", text, re.DOTALL) - if match: - try: - tool_call = json.loads(match.group(1)) - return Message( - role="assistant", - content=text, - tool_calls=[tool_call] - ) - except json.JSONDecodeError: - pass - - return Message(role="assistant", content=text) - - -@dataclass -class ModelInput: - prompt: str - tokens: list[int] - - -@dataclass -class Message: - role: str - content: str - tool_calls: list[dict] = None -``` - -**2. Environment with Clean API** 🎯 - -```python -# forge/environments/tool_env.py - -class ToolEnv(ABC): - """Clean environment interface (Tinker pattern).""" - - @abstractmethod - async def initial_observation(self): - """Start episode, return initial state.""" - ... - - @abstractmethod - async def step(self, action): - """Execute action, return StepResult.""" - ... - - -@dataclass -class StepResult: - reward: float - episode_done: bool - next_observation: ModelInput - metrics: dict = field(default_factory=dict) - - -class OpenEnvToolEnv(ToolEnv): - """OpenEnv adapter with ToolEnv interface.""" - - def __init__(self, base_url: str, renderer: Renderer, max_turns: int = 10): - self.client = OpenEnv(base_url=base_url) - self.renderer = renderer - self.max_turns = max_turns - self.past_messages = [] - self.current_turn = 0 - - async def initial_observation(self): - result = self.client.reset() - self.past_messages = [ - {"role": "user", "content": result.observation.info_state} - ] - self.current_turn = 0 - return self.renderer.build_generation_prompt(self.past_messages) - - async def step(self, action_tokens: list[int]): - """Execute one step.""" - # Parse response - message = self.renderer.parse_response(action_tokens) - self.past_messages.append(message) - self.current_turn += 1 - - # Check if tool call - if message.tool_calls: - # Execute tool via OpenEnv - tool_call = message.tool_calls[0] - env_result = self.client.step(tool_call) - - # Add tool result to history - tool_message = { - "role": "tool", - "content": env_result.observation.text - } - self.past_messages.append(tool_message) - - # Check if done - if env_result.done or self.current_turn >= self.max_turns: - return StepResult( - reward=env_result.reward, - episode_done=True, - next_observation=ModelInput.empty(), - ) - else: - # Continue episode - next_obs = self.renderer.build_generation_prompt(self.past_messages) - return StepResult( - reward=0.0, - episode_done=False, - next_observation=next_obs, - ) - else: - # Final answer (no tool call) - episode done - return StepResult( - reward=self.client.get_final_reward(), - episode_done=True, - next_observation=ModelInput.empty(), - ) -``` - -**3. Rollout with Trajectory** 🎯 - -```python -# forge/rollouts/multiturn.py - -@dataclass -class Transition: - """Single step in trajectory.""" - ob: ModelInput # Observation (prompt) - ac: TokensWithLogprobs # Action (LLM output) - reward: float - episode_done: bool - - -@dataclass -class Trajectory: - """Complete episode trajectory.""" - transitions: list[Transition] - final_reward: float - - -async def do_rollout_tinker_pattern( - policy: Generator, - env: ToolEnv, -): - """Tinker-style rollout.""" - transitions = [] - - # Get initial observation - ob = await env.initial_observation() - - while True: - # Generate action - response = await policy.generate.route( - ob.prompt, - sampling_params={"temperature": 0.7, "max_tokens": 256} - ) - - ac = TokensWithLogprobs( - tokens=response.token_ids, - logprobs=response.logprobs - ) - - # Execute in environment - step_result = await env.step(response.token_ids) - - # Store transition - transition = Transition( - ob=ob, - ac=ac, - reward=step_result.reward, - episode_done=step_result.episode_done - ) - transitions.append(transition) - - # Check if done - if step_result.episode_done: - break - - # Update observation - ob = step_result.next_observation - - return Trajectory( - transitions=transitions, - final_reward=transitions[-1].reward - ) -``` - -**4. Trajectory Processing with Masking** 🎯 - -```python -# forge/data/trajectory_processing.py - -def trajectory_to_episode(traj: Trajectory, advantage: float): - """ - Convert trajectory to training episode with response masking. - Tinker pattern: mask built during data processing, not rollout. - """ - all_tokens = [] - all_logprobs = [] - response_mask = [] - advantages = [] - - for transition in traj.transitions: - # Observation tokens (prompt, tool results) - ob_tokens = transition.ob.tokens - ob_len = len(ob_tokens) - - # Action tokens (LLM output) - ac_tokens = transition.ac.tokens - ac_logprobs = transition.ac.logprobs - ac_len = len(ac_tokens) - - # Concatenate - all_tokens.extend(ob_tokens) - all_tokens.extend(ac_tokens) - - all_logprobs.extend([0.0] * ob_len) # Placeholder for obs - all_logprobs.extend(ac_logprobs) - - # Build mask: 0 for observations, 1 for actions - response_mask.extend([0] * ob_len) # DON'T train on obs - response_mask.extend([1] * ac_len) # TRAIN on actions - - # Assign advantages (only to action tokens) - advantages.extend([0.0] * ob_len) - advantages.extend([advantage] * ac_len) - - return Episode( - token_ids=all_tokens, - logprobs=all_logprobs, - response_mask=response_mask, - advantages=advantages, - reward=traj.final_reward - ) -``` - -### Key Insights - -✅ **Clean separation of concerns**: Rendering, environment, data processing are separate -✅ **Reusable components**: Renderer works across tasks, easy to swap -✅ **Easy to test**: Each component can be tested independently -✅ **Response masking**: Built during data processing (clean pattern) -✅ **Production-ready**: Based on Tinker's proven design - -**Why this pattern is good:** 🎯 -- **Modularity**: Components are independent and reusable -- **Testability**: Easy to unit test each piece -- **Debuggability**: Clear data flow, easy to inspect -- **Extensibility**: Easy to add new models, environments - -**Trade-offs:** -- **Pros**: Clean code, maintainable, extensible, production-ready -- **Cons**: More code than Pattern A, requires understanding abstractions -- **Best for**: Production implementations, research projects, team codebases - -## Pattern C: State Machine + Async Parallel Tools (VERL-inspired) - -### Summary - -**What it is**: Explicit state machine (PENDING → GENERATING → PROCESSING_TOOLS → ...) with parallel tool execution using `asyncio.gather()`. - -**When to use**: Complex tool workflows requiring explicit state management, production systems with multiple concurrent tool calls per turn. - -### YAML Configuration - -```yaml -# examples/tau2bench/grpo/state_machine_pattern.yaml -policy: - type: "Generator" - model_path: "Qwen/Qwen2.5-1.5B-Instruct" - -state_machine: - max_assistant_turns: 5 - max_parallel_tool_calls: 3 - states: ["PENDING", "GENERATING", "PROCESSING_TOOLS", "TERMINATED"] - -tools: - execution_mode: "parallel" # Execute tools concurrently - timeout: 10 -``` - -### Complete Code - -```python -# examples/tau2bench/grpo/state_machine_pattern.py - -from enum import Enum - -class AgentState(Enum): - PENDING = "pending" - GENERATING = "generating" - PROCESSING_TOOLS = "processing_tools" - TERMINATED = "terminated" - - -@dataclass -class AgentData: - """State for one episode.""" - messages: list[dict] - response_ids: list[int] - response_mask: list[int] - response_logprobs: list[float] - tool_calls: list[dict] - assistant_turns: int = 0 - state: AgentState = AgentState.PENDING - - -async def run_state_machine_episode( - task: str, - policy: Generator, - tokenizer, - env: OpenEnv, - max_assistant_turns: int = 5, - max_parallel_tools: int = 3, -): - """VERL-inspired state machine pattern.""" - - agent_data = AgentData( - messages=[{"role": "user", "content": task}], - response_ids=[], - response_mask=[], - response_logprobs=[], - tool_calls=[] - ) - - # State machine loop - while agent_data.state != AgentState.TERMINATED: - if agent_data.state == AgentState.PENDING: - agent_data.state = await handle_pending(agent_data, tokenizer) - - elif agent_data.state == AgentState.GENERATING: - agent_data.state = await handle_generating( - agent_data, policy, tokenizer, max_assistant_turns - ) - - elif agent_data.state == AgentState.PROCESSING_TOOLS: - agent_data.state = await handle_processing_tools( - agent_data, env, tokenizer, max_parallel_tools - ) - - # Return episode - return Episode( - token_ids=agent_data.response_ids, - logprobs=agent_data.response_logprobs, - response_mask=agent_data.response_mask, - reward=env.get_final_reward() - ) - - -async def handle_pending(agent_data: AgentData, tokenizer): - """Prepare prompt.""" - # Build prompt from messages - prompt = tokenizer.apply_chat_template( - agent_data.messages, - add_generation_prompt=True - ) - agent_data.prompt_ids = tokenizer.encode(prompt) - return AgentState.GENERATING - - -async def handle_generating( - agent_data: AgentData, - policy: Generator, - tokenizer, - max_assistant_turns: int, -): - """Generate response using Forge Generator.""" - # Generate - prompt_text = tokenizer.decode(agent_data.prompt_ids) - response = await policy.generate.route( - prompt_text, - sampling_params={"temperature": 0.7, "max_tokens": 256} - ) - - # Track turn count - agent_data.assistant_turns += 1 - - # Accumulate tokens - agent_data.response_ids.extend(response.token_ids) - agent_data.response_logprobs.extend(response.logprobs) - agent_data.response_mask.extend([1] * len(response.token_ids)) # LLM output - - # Check termination - if agent_data.assistant_turns >= max_assistant_turns: - return AgentState.TERMINATED - - # Parse tool calls - tool_calls = parse_tool_calls(response.text) - agent_data.tool_calls = tool_calls - - if tool_calls: - return AgentState.PROCESSING_TOOLS - else: - return AgentState.TERMINATED - - -async def handle_processing_tools( - agent_data: AgentData, - env: OpenEnv, - tokenizer, - max_parallel_tools: int, -): - """Execute tools in PARALLEL (VERL pattern).""" - - # Create parallel tasks - tool_tasks = [ - execute_tool_async(tool_call, env) - for tool_call in agent_data.tool_calls[:max_parallel_tools] - ] - - # Execute ALL tools concurrently - tool_results = await asyncio.gather(*tool_tasks) - - # Add tool results to message history - for tool_call, result in zip(agent_data.tool_calls, tool_results): - # Add assistant message with tool call - agent_data.messages.append({ - "role": "assistant", - "tool_calls": [tool_call] - }) - - # Add tool result - agent_data.messages.append({ - "role": "tool", - "content": result - }) - - # Tokenize tool results - tool_messages_text = tokenizer.apply_chat_template( - [m for m in agent_data.messages if m["role"] == "tool"], - add_generation_prompt=True - ) - tool_tokens = tokenizer.encode(tool_messages_text) - - # Accumulate tool result tokens (with mask=0) - agent_data.response_ids.extend(tool_tokens) - agent_data.response_logprobs.extend([0.0] * len(tool_tokens)) - agent_data.response_mask.extend([0] * len(tool_tokens)) # DON'T train on tool results - - # Continue generation - return AgentState.GENERATING - - -async def execute_tool_async(tool_call: dict, env: OpenEnv): - """Execute single tool (async).""" - result = env.execute_tool(tool_call) - return result.observation.text - - -def parse_tool_calls(text: str) -> list[dict]: - """Parse multiple tool calls from text.""" - matches = re.findall(r'(.*?)', text, re.DOTALL) - tool_calls = [] - for match in matches: - try: - tool_calls.append(json.loads(match)) - except json.JSONDecodeError: - continue - return tool_calls -``` - -### Key Insights - -✅ **Explicit state management**: Clear transitions between states -✅ **Parallel tool execution**: Multiple tools run concurrently (`asyncio.gather`) -✅ **Handles complex workflows**: Good for multi-tool scenarios -✅ **Response masking**: Built incrementally during state transitions - -**Trade-offs:** -- **Pros**: Clear state flow, handles complexity well, parallel tools -- **Cons**: More complex than Patterns A/B, overkill for simple tasks -- **Best for**: Production systems with complex multi-step tool interactions - -## Pattern D: Async Sample-Level Pipelining (NeMo-RL inspired) - -### Summary - -**What it is**: Each sample runs as independent async task. While one sample waits for tool execution, others continue generating. Maximum throughput. - -**When to use**: Production system requiring maximum performance, have variable-length episodes, tool execution has latency. - -### YAML Configuration - -```yaml -# examples/tau2bench/grpo/async_pipeline_pattern.yaml -policy: - type: "Generator" - model_path: "Qwen/Qwen2.5-1.5B-Instruct" - engine_args: - # Note: Forge may handle async differently via Monarch - # Check Forge docs for async configuration - tensor_parallel_size: 1 - -rollout: - sample_level_concurrency: true # Enable per-sample pipelining - concurrent_samples: 8 # Process 8 samples in parallel - max_turns_per_sample: 10 -``` - -### Complete Code - -```python -# examples/tau2bench/grpo/async_pipeline_pattern.py - -async def run_async_multi_sample_rollout( - tasks: list[str], - policy: Generator, - tokenizer, - env_factory: callable, # Creates env per sample -): - """ - NeMo-RL inspired: per-sample async tasks for pipelining. - While Sample 1 waits for tool, Samples 2/3/4 continue generating. - """ - - # Create one async task PER SAMPLE - sample_tasks = [ - asyncio.create_task( - run_single_sample_async( - sample_idx=i, - task=task, - policy=policy, - tokenizer=tokenizer, - env=env_factory() - ) - ) - for i, task in enumerate(tasks) - ] - - # Run ALL samples concurrently - episodes = await asyncio.gather(*sample_tasks) - - return episodes - - -async def run_single_sample_async( - sample_idx: int, - task: str, - policy: Generator, - tokenizer, - env: OpenEnv, - max_turns: int = 10, -): - """ - Complete lifecycle for ONE sample. - Runs independently - while this sample waits, others continue. - """ - messages = [{"role": "user", "content": task}] - all_tokens = [] - all_logprobs = [] - response_mask = [] - done = False - turn = 0 - - while not done and turn < max_turns: - # 1. Build prompt - prompt = tokenizer.apply_chat_template(messages, add_generation_prompt=True) - - # 2. Async generation (doesn't block other samples) - response = await policy.generate.route( - prompt, - sampling_params={"temperature": 0.7, "max_tokens": 256} - ) - - # 3. Accumulate tokens - all_tokens.extend(response.token_ids) - all_logprobs.extend(response.logprobs) - response_mask.extend([1] * len(response.token_ids)) - - # 4. Parse tool call - tool_call = parse_tool_call(response.text) - - if tool_call: - # 5. Execute tool (async, but DOESN'T block other samples!) - # While THIS sample waits here, Sample 2/3/4 continue their generation - tool_result = await execute_tool_async(env, tool_call) - - # Add to history - messages.append({"role": "assistant", "tool_calls": [tool_call]}) - messages.append({"role": "tool", "content": tool_result}) - - # Tokenize tool result - tool_tokens = tokenizer.encode(tool_result) - all_tokens.extend(tool_tokens) - response_mask.extend([0] * len(tool_tokens)) # DON'T train - - done = env.is_done() - else: - messages.append({"role": "assistant", "content": response.text}) - done = True - - turn += 1 - - # Get final reward - reward = env.get_final_reward() - - return Episode( - sample_idx=sample_idx, - token_ids=all_tokens, - logprobs=all_logprobs, - response_mask=response_mask, - reward=reward, - num_turns=turn - ) - - -async def execute_tool_async(env: OpenEnv, tool_call: dict): - """Execute tool without blocking other samples.""" - result = env.step(tool_call) - return result.observation.text -``` - -### Why This Pipelining Matters - -**Without pipelining (sequential):** -``` -Sample 1: [Gen 10s] → [Tool 5s] → [Gen 10s] = 25s -Sample 2: [Gen 10s] → [Tool 5s] = 15s -Sample 3: [Gen 10s] = 10s -Total: 25 + 15 + 10 = 50s -``` - -**With NeMo-RL pipelining:** -``` -Sample 1: [Gen 10s]──────────────┐ [Gen 10s]──────┐ - ↓ ↓ - [Tool 5s] [Tool 5s] -Sample 2: [Gen 10s]──────────┐ [Gen 10s]──┐ - ↓ ↓ - [Tool 5s] [Tool 5s] -Sample 3: [Gen 10s]──────┐ - ↓ - [Tool 5s] - -Total: ~25s (longest sample) → 2x speedup! -``` - -**Downsides/Considerations:** -- **Memory**: All samples in flight simultaneously (more GPU memory) -- **Complexity**: Harder to debug (concurrent execution) -- **vLLM config**: May need `max_num_seqs` adjustment - -**How to control:** -```yaml -# vLLM configuration -engine_args: - max_num_seqs: 8 # Max concurrent sequences - gpu_memory_utilization: 0.85 # Leave headroom -``` - -**Source of speedup estimates:** -- Based on NeMo-RL benchmarks with variable-length episodes -- 2-4x typical, up to 8x with high tool latency -- Depends on: tool execution time, episode length variance - -### Key Insights - -✅ **Maximum throughput**: Best performance for production -✅ **Non-blocking tool execution**: Fast samples don't wait for slow ones -✅ **Sample independence**: Each sample is its own async task -⚠️ **Higher memory usage**: All samples concurrent -⚠️ **More complex**: Harder to debug than sequential - -**Trade-offs:** -- **Pros**: Best performance, maximum GPU utilization -- **Cons**: Memory usage, complexity, harder debugging -- **Best for**: Production scale, variable episode lengths, tool latency exists - -## Pattern E: Native Tool Calling (Verifiers/PRIME-RL inspired) - -### Summary - -**What it is**: Use vLLM's native tool calling support (`enable_auto_tool_choice: true`), clean tool definition with type hints, automatic parsing. - -**When to use**: Model supports native tool calling, want production-ready abstractions, avoid manual parsing. - -### YAML Configuration - -```yaml -# examples/tau2bench/grpo/native_tools_pattern.yaml -policy: - type: "Generator" - model_path: "Qwen/Qwen2.5-1.5B-Instruct" - engine_args: - # Enable vLLM native tool calling - enable_auto_tool_choice: true - tool_call_parser: "hermes" # or "mistral", "llama", depends on model - tensor_parallel_size: 1 - -tools: - definition_style: "type_hints" # Auto-generate schemas from functions - auto_schema_generation: true -``` - -### Complete Code - -**1. Clean Tool Definition** - -```python -# examples/tau2bench/tools/tau2_tools.py - -async def create_task(user_id: str, title: str, description: str = "", deadline: str = ""): - """ - Create a new task. - - Args: - user_id: ID of the user who owns the task - title: Task title - description: Optional task description - deadline: Optional deadline (ISO format) - - Returns: - Task creation result with task_id - """ - # Implementation via OpenEnv - result = env.execute_tool({ - "name": "create_task", - "arguments": { - "user_id": user_id, - "title": title, - "description": description, - "deadline": deadline - } - }) - return result - - -async def update_task(task_id: str, status: str): - """ - Update task status. - - Args: - task_id: ID of the task to update - status: New status (pending|completed|cancelled) - - Returns: - Update result - """ - result = env.execute_tool({ - "name": "update_task", - "arguments": {"task_id": task_id, "status": status} - }) - return result - - -# Auto-convert to OpenAI schemas -def convert_func_to_oai_tool(func: callable): - """Convert type-hinted function to OpenAI tool schema.""" - import inspect - sig = inspect.signature(func) - - parameters = { - "type": "object", - "properties": {}, - "required": [] - } - - for name, param in sig.parameters.items(): - param_type = str(param.annotation).replace("", "") - parameters["properties"][name] = {"type": param_type} - if param.default == inspect.Parameter.empty: - parameters["required"].append(name) - - return { - "name": func.__name__, - "description": func.__doc__.strip().split("\n")[0], - "parameters": parameters - } - - -# Generate schemas -tools = [create_task, update_task] -tool_schemas = [convert_func_to_oai_tool(t) for t in tools] -``` - -**2. Rollout with Native Parsing** - -```python -# examples/tau2bench/grpo/native_tools_rollout.py - -async def run_native_tool_calling( - task: str, - policy: Generator, - tokenizer, - tool_map: dict, # {tool_name: function} - tool_schemas: list[dict], - max_turns: int = 10, -): - """ - Verifiers-inspired: use vLLM native tool calling. - """ - messages = [ - {"role": "system", "content": "You are a helpful assistant."}, - {"role": "user", "content": task} - ] - - all_tokens = [] - all_logprobs = [] - response_mask = [] - done = False - turn = 0 - - while not done and turn < max_turns: - # 1. Format prompt WITH TOOLS (vLLM formats based on model) - prompt = tokenizer.apply_chat_template( - messages, - tools=tool_schemas, # vLLM handles formatting! - add_generation_prompt=True - ) - - # 2. Generate (vLLM auto-parses tool calls) - response = await policy.generate.route(prompt) - - # 3. Check if vLLM parsed tool calls - # (message.tool_calls populated by vLLM, not manual parsing!) - if hasattr(response, 'tool_calls') and response.tool_calls: - tool_call = response.tool_calls[0] - - # Execute tool - tool_name = tool_call["function"]["name"] - tool_args = json.loads(tool_call["function"]["arguments"]) - tool_result = await tool_map[tool_name](**tool_args) - - # Add to history - messages.append({ - "role": "assistant", - "tool_calls": [tool_call] - }) - messages.append({ - "role": "tool", - "content": str(tool_result), - "tool_call_id": tool_call["id"] - }) - - # Accumulate tokens - all_tokens.extend(response.token_ids) - all_logprobs.extend(response.logprobs) - response_mask.extend([1] * len(response.token_ids)) - - # Tool result tokens - tool_tokens = tokenizer.encode(str(tool_result)) - all_tokens.extend(tool_tokens) - response_mask.extend([0] * len(tool_tokens)) - else: - # Final answer - messages.append({"role": "assistant", "content": response.text}) - all_tokens.extend(response.token_ids) - all_logprobs.extend(response.logprobs) - response_mask.extend([1] * len(response.token_ids)) - done = True - - turn += 1 - - return Episode( - token_ids=all_tokens, - logprobs=all_logprobs, - response_mask=response_mask, - reward=compute_reward(messages) - ) -``` - -### Key Insights - -✅ **No manual parsing**: vLLM does it automatically -✅ **Clean tool definition**: Just type-hinted Python functions -✅ **Production-ready**: Used by PRIME-RL, Verifiers -✅ **Model-specific formatting**: vLLM handles Qwen vs GPT vs Llama differences - -**When to use:** -- Model is trained for native tool calling (e.g., fine-tuned with tool data) -- Want to avoid manual regex parsing -- Production system with well-defined tools -- Using Qwen, Mistral, Llama models with tool support - -**Trade-offs:** -- **Pros**: Clean, reliable, no parsing bugs, production-ready -- **Cons**: Requires model support, less control over format -- **Best for**: Production systems with models trained for tool calling - ---- - -**Summary of All Patterns:** - -| Pattern | Complexity | Performance | Best For | -|---------|-----------|-------------|----------| -| **A: Simple Concat** | Low | OK | Prototypes, learning | -| **B: Tinker** 🎯 | Medium | Good | Production, research, clean code | -| **C: State Machine** | Medium-High | Good | Complex workflows, multiple tools | -| **D: Async Pipeline** | High | Best | Maximum throughput, production scale | -| **E: Native Tools** | Low-Medium | Good | Models with tool support, production | - -**Recommendation for Forge:** -1. **Start with Pattern A** (simple concat) to learn -2. **Move to Pattern B** 🎯 (Tinker) for production - clean, maintainable -3. **Add Pattern D** (async pipeline) if bottlenecked on throughput -4. **Consider Pattern E** (native tools) if using tool-trained models - -**Next**: Part 6 shows complete implementation plan for Forge. diff --git a/brainstorming_forge_tau/tutorials/6_implementation_plan.md b/brainstorming_forge_tau/tutorials/6_implementation_plan.md deleted file mode 100644 index 79c237815..000000000 --- a/brainstorming_forge_tau/tutorials/6_implementation_plan.md +++ /dev/null @@ -1,790 +0,0 @@ -# Part 6: Implementation Plan for Forge - -This part shows how to integrate multi-turn tool calling into Forge GRPO. - -## 6.1 High-Level Strategy - -**Approach:** -1. Start with Pattern A (simple) to get multi-turn working -2. Add response masking -3. Refactor to Pattern B (Tinker-style) for clean code -4. Optimize with async (Pattern D) if needed - -**Focus:** -- Reusable core utilities in `forge/` -- Task-specific code in `examples/tau2bench/` -- OpenEnv integration for training -- Tau2Bench for evaluation - -## 6.2 Overall System Context - -### Full System Configuration - -```yaml -# examples/tau2bench/grpo/config.yaml - -# Generator (vLLM) -policy: - type: "Generator" - model_path: "Qwen/Qwen2.5-1.5B-Instruct" - engine_args: - tensor_parallel_size: 1 - gpu_memory_utilization: 0.9 - max_model_len: 2048 - enable_prefix_caching: true # Helps with multi-turn - -# Trainer -trainer: - type: "TitanTrainer" - learning_rate: 1e-5 - beta: 0.1 # KL penalty - batch_size: 32 - -# Replay Buffer -replay_buffer: - type: "ReplayBuffer" - capacity: 10000 - min_size: 100 - -# Reference Model -ref_model: - type: "ReferenceModel" - model_path: "Qwen/Qwen2.5-1.5B-Instruct" - -# Rollout Configuration -rollout: - group_size: 8 # GRPO group - num_rollout_threads: 4 # Parallel rollout workers - max_turns_per_episode: 10 - use_response_masking: true - -# OpenEnv for Training -openenv: - base_url: "http://localhost:8001" - timeout: 30 - -# Tau2Bench for Evaluation -tau2bench: - domain: "mock" - task_split: "train" # or "test" for final eval -``` - -### General Rollout Loop Structure - -```python -# examples/tau2bench/grpo/main.py - -async def continuous_rollouts( - policy: Generator, - trainer: TitanTrainer, - replay_buffer: ReplayBuffer, - ref_model: ReferenceModel, - reward_actor: RewardActor, - dataloader: DataLoader, - config: dict, -): - """ - Main rollout loop - where play_task() is called. - Adapted from apps/grpo/main.py for multi-turn. - """ - - while True: - # 1. Sample tasks from Tau2Bench dataset - tasks = await sample_tasks(dataloader, batch_size=config.rollout.group_size) - - # 2. Run multi-turn episodes (THIS IS NEW!) - episodes = [] - for task in tasks: - episode = await play_task( - task=task, - policy=policy, - tokenizer=tokenizer, - env=create_env(), - max_turns=config.rollout.max_turns_per_episode - ) - episodes.append(episode) - - # 3. Get reference logprobs (existing Forge code) - ref_logprobs = await get_reference_logprobs(episodes, ref_model) - - # 4. Compute advantages (group-relative) - advantages = compute_advantages([ep.reward for ep in episodes]) - - # 5. Add episodes to replay buffer - for episode, advantage in zip(episodes, advantages): - episode.advantage = advantage - await replay_buffer.add.call_one(episode) - - -async def continuous_training( - trainer: TitanTrainer, - policy: Generator, - replay_buffer: ReplayBuffer, - config: dict, -): - """Training loop (mostly unchanged).""" - - while True: - # Sample batch - batch = await replay_buffer.sample(config.trainer.batch_size) - - # Train with response masking (NEW!) - await trainer.train_step( - inputs=batch["inputs"], - targets=batch["targets"], - advantages=batch["advantages"], - response_mask=batch["response_mask"] # NEW! - ) - - # Update weights - version = await trainer.push_weights() - await policy.update_weights(version) -``` - -### Code Organization Philosophy - -**Decision Framework: Core vs Tau2Bench-Specific?** - -Ask these questions for each function: -1. **Reusable?** Can other benchmarks/tasks use this? -2. **Tau2-specific?** Uses Tau2Bench APIs or formats? -3. **Valuable to others?** Would users find this useful? -4. **Domain logic or infrastructure?** Business logic vs technical infrastructure? - -**If YES to questions 1, 3, 4**: → **Core** (`forge/`) -**If YES to question 2**: → **Task-specific** (`examples/tau2bench/`) - -**Core Utilities** (reusable): -``` -forge/ -├── utils/ -│ ├── parsing.py # parse_tool_call(), parse_response() -│ ├── prompts.py # format_system_prompt() template builder -│ ├── renderers.py # Renderer base class, Qwen3Renderer -│ └── masking.py # build_response_mask(), apply_mask() -├── rollouts/ -│ └── multiturn.py # play_task(), do_rollout() -├── environments/ -│ └── tool_env.py # ToolEnv base class, OpenEnvToolEnv adapter -└── data/ - └── trajectory_processing.py # trajectory_to_episode() -``` - -**Tau2Bench-Specific**: -``` -examples/tau2bench/grpo/ -├── main.py # Training script (continuous_rollouts, etc.) -├── tau2_env.py # Tau2Bench environment adapter -├── tau2_utils.py # Tau2-specific utilities (task loading, scoring) -├── config.yaml # Configuration -└── prompts.py # Task-specific prompt templates -``` - -## 6.3 Core Components Implementation - -### play_task() - The Multi-turn Loop - -**Classification:** ✅ **Core** (`forge/rollouts/multiturn.py`) - -**Reasoning:** -- Reusable across different environments -- Generic multi-turn logic -- Not Tau2Bench-specific - -```python -# forge/rollouts/multiturn.py - -async def play_task( - task: str, - policy: Generator, - tokenizer, - env: ToolEnv, - max_turns: int = 10, -) -> Episode: - """ - Generic multi-turn tool calling loop. - Works with any ToolEnv-compatible environment. - """ - # Initialize - messages = [{"role": "user", "content": task}] - all_tokens = [] - all_logprobs = [] - response_mask = [] - done = False - turn = 0 - - # Multi-turn loop - while not done and turn < max_turns: - # 1. Format prompt - prompt = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=False - ) - - # 2. Generate - response = await policy.generate.route( - prompt, - sampling_params={"temperature": 0.7, "max_tokens": 256} - ) - - # 3. Parse tool call - tool_call = parse_tool_call(response.text) # From forge.utils.parsing - - # 4. Execute or finalize - if tool_call: - # Execute via environment - result = await env.execute_tool(tool_call) - - # Update messages - messages.append({ - "role": "assistant", - "tool_calls": [tool_call] - }) - messages.append({ - "role": "tool", - "content": result - }) - - # Accumulate tokens - all_tokens.extend(response.token_ids) - all_logprobs.extend(response.logprobs) - response_mask.extend([1] * len(response.token_ids)) # Train on LLM - - # Tool result tokens - tool_tokens = tokenizer.encode(result) - all_tokens.extend(tool_tokens) - response_mask.extend([0] * len(tool_tokens)) # Don't train - - done = env.is_done() - else: - # Final answer - messages.append({"role": "assistant", "content": response.text}) - all_tokens.extend(response.token_ids) - all_logprobs.extend(response.logprobs) - response_mask.extend([1] * len(response.token_ids)) - done = True - - turn += 1 - - # Get reward - reward = env.get_final_reward() - - return Episode( - token_ids=all_tokens, - logprobs=all_logprobs, - response_mask=response_mask, - reward=reward, - num_turns=turn, - messages=messages # For debugging - ) -``` - -### parse_response() - Tool Call Detection - -**Classification:** ✅ **Core** (`forge/utils/parsing.py`) - -**Reasoning:** Generic response parsing, reusable - -```python -# forge/utils/parsing.py - -def parse_tool_call(text: str) -> dict | None: - """ - Parse tool call from model output. - Supports multiple formats. - """ - # Format 1: ... - match = re.search(r'(.*?)', text, re.DOTALL) - if match: - try: - return json.loads(match.group(1)) - except json.JSONDecodeError: - pass - - # Format 2: ... - match = re.search(r'(.*?)', text, re.DOTALL) - if match: - try: - return json.loads(match.group(1)) - except json.JSONDecodeError: - pass - - return None - - -def has_tool_call(text: str) -> bool: - """Check if text contains a tool call.""" - return ('' in text or - '' in text or - '{"name":' in text) # JSON format -``` - -### format_system_prompt() - Prompt with Tools - -**Classification:** 🔀 **Hybrid** - -**Reasoning:** -- Core template builder: `forge/utils/prompts.py` -- Task-specific templates: `examples/tau2bench/prompts.py` - -```python -# forge/utils/prompts.py (Core) - -def build_tool_calling_system_prompt( - tools: list[dict], - format_style: str = "tags", -) -> str: - """ - Generic tool calling system prompt builder. - """ - # Format tool schemas - tool_list = [] - for tool in tools: - tool_list.append( - f"- {tool['name']}: {tool.get('description', '')}\n" - f" Parameters: {json.dumps(tool.get('parameters', {}), indent=2)}" - ) - tools_text = "\n".join(tool_list) - - # Base template - if format_style == "tags": - return f"""You are a helpful assistant with access to tools. - -Available tools: -{tools_text} - -To call a tool, use this format: -{{"name": "tool_name", "args": {{"param": "value"}}}} - -When you're done with the task, respond normally without calling any tools. -""" - elif format_style == "hermes": - return f"""You have access to the following tools: -{tools_text} - -Use tools to complete tasks. Format tool calls as JSON.""" - - else: - raise ValueError(f"Unknown format_style: {format_style}") -``` - -```python -# examples/tau2bench/prompts.py (Task-specific) - -def build_tau2_system_prompt(domain: str, tools: list[dict]) -> str: - """Tau2Bench-specific system prompt.""" - base_prompt = build_tool_calling_system_prompt(tools, format_style="tags") - - # Add Tau2-specific instructions - domain_instructions = { - "mock": "You are managing tasks for users. Always confirm actions.", - "airline": "You are a flight booking assistant. Be professional.", - "retail": "You are a customer service agent. Be helpful and courteous.", - } - - return f"""{base_prompt} - -Domain: {domain} -{domain_instructions.get(domain, "")} - -Remember to call done() when you've completed the task. -""" -``` - -### OpenEnv Integration for Tau2Bench - -**Classification:** ⚠️ **Tau2Bench-specific** (`examples/tau2bench/tau2_env.py`) - -**Reasoning:** Tau2-specific setup, task loading, tool registration - -```python -# examples/tau2bench/tau2_env.py - -class Tau2OpenEnv: - """ - OpenEnv adapter for Tau2Bench tasks. - Handles Tau2-specific setup and reward computation. - """ - - def __init__(self, base_url: str, domain: str, task_id: str): - self.client = OpenEnv(base_url=base_url) - self.domain = domain - self.task_id = task_id - self.task_data = self._load_task() - self.tools = self._get_tools() - - def _load_task(self) -> dict: - """Load Tau2Bench task data.""" - # Load from tau2-bench/data/tau2/domains/{domain}/tasks.json - task_file = f"tau2-bench/data/tau2/domains/{self.domain}/tasks.json" - with open(task_file) as f: - tasks = json.load(f) - return next(t for t in tasks if t["id"] == self.task_id) - - def _get_tools(self) -> list[dict]: - """Get tool schemas for this domain.""" - # Domain-specific tools - if self.domain == "mock": - return [ - { - "name": "create_task", - "description": "Create a new task", - "parameters": { - "type": "object", - "properties": { - "user_id": {"type": "string"}, - "title": {"type": "string"}, - "description": {"type": "string"}, - "deadline": {"type": "string"} - }, - "required": ["user_id", "title"] - } - }, - { - "name": "update_task", - "description": "Update task status", - "parameters": { - "type": "object", - "properties": { - "task_id": {"type": "string"}, - "status": {"type": "string"} - }, - "required": ["task_id", "status"] - } - }, - { - "name": "done", - "description": "Signal task completion", - "parameters": {"type": "object", "properties": {}} - } - ] - else: - # Load from domain config - raise NotImplementedError(f"Domain {self.domain} not implemented") - - def reset(self) -> EnvResult: - """Reset environment for this task.""" - result = self.client.reset( - task_id=self.task_id, - domain=self.domain - ) - return result - - def execute_tool(self, tool_call: dict) -> str: - """Execute tool via OpenEnv.""" - result = self.client.step(tool_call) - return result.observation.text - - def is_done(self) -> bool: - """Check if episode is complete.""" - return self.client.state.get("done", False) - - def get_final_reward(self) -> float: - """ - Compute Tau2Bench reward. - Uses Tau2's evaluation criteria. - """ - # Get episode history - history = self.client.get_history() - - # Score using Tau2Bench evaluator - from tau2.evaluator import evaluate_episode - - result = evaluate_episode( - history=history, - evaluation_criteria=self.task_data["evaluation_criteria"] - ) - - return result.final_reward # 0.0 or 1.0 -``` - -**Reward Computation:** -```python -# examples/tau2bench/tau2_utils.py - -def compute_tau2_reward( - task_data: dict, - episode_history: list[dict], -) -> float: - """ - Compute Tau2Bench reward from episode history. - """ - from tau2.evaluator import Evaluator - - evaluator = Evaluator() - - # Evaluate based on criteria - scores = evaluator.evaluate( - history=episode_history, - evaluation_criteria=task_data["evaluation_criteria"] - ) - - # Final reward = product of all scores - final_reward = 1.0 - for score_type, score_value in scores.items(): - final_reward *= score_value - - return final_reward -``` - -## 6.4 Episode Structure for Multi-turn - -```python -# forge/data/episode.py - -@dataclass -class Episode: - """Multi-turn episode with response masking.""" - episode_id: str - pad_id: int - - # Token data (concatenated across all turns) - token_ids: list[int] # All tokens - logprobs: list[float] # Per-token logprobs - response_mask: list[int] # 1=train, 0=ignore (NEW!) - - # Metadata - reward: float - advantage: float | None = None - num_turns: int = 1 - task_id: str = "" - - # Optional: for debugging - messages: list[dict] | None = None - - def mask_tensor(self, max_len: int) -> torch.Tensor: - """Get padded response mask tensor.""" - mask = self.response_mask + [0] * (max_len - len(self.response_mask)) - return torch.tensor(mask[:max_len], dtype=torch.float32) - - def masked_response_tensor(self, max_len: int) -> torch.Tensor: - """Get response tokens with masking applied.""" - response = torch.tensor(self.token_ids, dtype=torch.long) - mask = self.mask_tensor(max_len) - # Apply mask (set masked tokens to pad_id) - response = torch.where( - mask.bool(), - response, - torch.tensor(self.pad_id, dtype=torch.long) - ) - return response -``` - -## 6.5 Integration with Forge GRPO - -**Update continuous_rollouts:** - -```python -# examples/tau2bench/grpo/main.py - -async def continuous_rollouts( - policy: Generator, - trainer: TitanTrainer, - replay_buffer: ReplayBuffer, - ref_model: ReferenceModel, - dataloader: DataLoader, - config: dict, -): - """ - Updated rollout loop for multi-turn tool calling. - """ - while True: - # 1. Sample tasks - tasks = await sample_tau2_tasks(dataloader, config.rollout.group_size) - - # 2. Run multi-turn episodes (parallel) - episode_tasks = [ - play_task( - task=task["ticket"], - policy=policy, - tokenizer=tokenizer, - env=Tau2OpenEnv( - base_url=config.openenv.base_url, - domain=task["domain"], - task_id=task["id"] - ), - max_turns=config.rollout.max_turns_per_episode - ) - for task in tasks - ] - - episodes = await asyncio.gather(*episode_tasks) - - # 3. Get reference logprobs - # Batch all episodes together - all_token_ids = [ep.token_ids for ep in episodes] - max_len = max(len(ids) for ids in all_token_ids) - - # Pad and stack - input_ids = torch.stack([ - torch.tensor(ids + [pad_id] * (max_len - len(ids))) - for ids in all_token_ids - ]) - - ref_logprobs = await ref_model.forward.route( - input_ids=input_ids, - return_logprobs=True - ) - - for i, episode in enumerate(episodes): - episode.ref_logprobs = ref_logprobs[i, :len(episode.token_ids)] - - # 4. Compute advantages (group-relative) - rewards = [ep.reward for ep in episodes] - advantages = compute_advantages(rewards) - - for episode, advantage in zip(episodes, advantages): - episode.advantage = advantage - - # 5. Add to replay buffer - for episode in episodes: - await replay_buffer.add.call_one(episode) - - -def compute_advantages(rewards: list[float]) -> list[float]: - """Group-relative advantage computation (GRPO).""" - mean_reward = np.mean(rewards) - std_reward = np.std(rewards) + 1e-8 - advantages = [(r - mean_reward) / std_reward for r in rewards] - return advantages -``` - -**Episode Creation Strategy:** - -For Forge, **Strategy B (concatenated)** is recommended: -- All turns concatenated into one Episode -- Response mask distinguishes LLM output from tool results -- Gradient flows through entire trajectory -- Matches Forge's existing Episode structure better - -## 6.6 GRPO Loss with Response Masking - -**Reference existing Forge code:** -- `/home/felipemello/forge/src/forge/losses/reinforce_loss.py` already has `target_mask` -- `/home/felipemello/forge/apps/grpo/main.py` uses `compute_logprobs` and `F.cross_entropy` - -**Add response_mask parameter:** - -```python -# forge/losses/grpo_loss.py - -def grpo_loss_with_masking( - logits: torch.Tensor, # [batch, seq_len, vocab_size] - response: torch.Tensor, # [batch, seq_len] - response_mask: torch.Tensor, # [batch, seq_len] - NEW! - ref_logprobs: torch.Tensor, # [batch, seq_len] - advantages: torch.Tensor, # [batch, seq_len] - padding_mask: torch.Tensor, # [batch, seq_len] - beta: float = 0.1, -) -> torch.Tensor: - """ - GRPO loss with response masking. - Combines padding_mask (existing) with response_mask (new). - """ - # Compute logprobs (memory-efficient using F.cross_entropy) - logprobs = compute_logprobs(logits, response) - - # Combine masks: padding AND response masking - combined_mask = padding_mask * response_mask - - # KL divergence - kl = logprobs - ref_logprobs - - # Policy gradient loss - pg_loss = -advantages * (logprobs - beta * kl) - - # Apply combined mask and reduce - masked_loss = pg_loss * combined_mask - loss = masked_loss.sum() / (combined_mask.sum() + 1e-8) - - return loss - - -def compute_logprobs(logits: torch.Tensor, targets: torch.Tensor) -> torch.Tensor: - """Compute log probabilities using cross_entropy (memory efficient).""" - # Shift for next-token prediction - shift_logits = logits[..., :-1, :].contiguous() - shift_targets = targets[..., 1:].contiguous() - - # Compute log probs - loss = F.cross_entropy( - shift_logits.view(-1, shift_logits.size(-1)), - shift_targets.view(-1), - reduction='none' - ) - - return -loss.view(shift_logits.size(0), shift_logits.size(1)) -``` - -**Key addition:** `response_mask` is the only new parameter. Loss computation is unchanged. - -## 6.7 Enabling Async in Forge (Performance) - -### Current Forge Async Mechanism - -Forge uses Monarch actors for async communication (not vLLM's `async_engine` flag). - -**How Forge handles async:** -- Generator is a distributed actor -- `await policy.generate.route()` sends async request to Generator actor -- vLLM engine runs on separate GPUs -- Response returned via actor system - -**No configuration needed** - Forge handles this automatically! - -### Making play_task Async - -Already async in implementation above (`async def play_task()`). - -### Running Multiple Tasks Concurrently - -```python -# Pattern from 6.5 above -episode_tasks = [ - play_task(task, policy, tokenizer, env) - for task in tasks -] -episodes = await asyncio.gather(*episode_tasks) -``` - -### Performance Best Practices - -**1. Parallel Episode Processing:** - -```python -# DON'T: Sequential reward computation -for episode in episodes: - episode.reward = await compute_reward(episode) # Slow! - -# DO: Parallel reward computation -reward_tasks = [compute_reward(ep) for ep in episodes] -rewards = await asyncio.gather(*reward_tasks) -for episode, reward in zip(episodes, rewards): - episode.reward = reward -``` - -**2. Batching Reference Model Calls:** - -```python -# DON'T: One episode at a time -for episode in episodes: - ref_logprobs = await ref_model.forward(episode.token_ids) - -# DO: Batch all episodes -all_token_ids = [ep.token_ids for ep in episodes] -ref_logprobs_batch = await ref_model.forward(batch_tensor) -# Huge speedup! -``` - -**3. Pipeline Rollouts and Training:** - -Forge already does this via replay buffer! -- Rollout threads: `continuous_rollouts()` (multiple parallel) -- Training thread: `continuous_training()` -- Decoupled via replay buffer -- No changes needed - ---- - -**Next**: Part 7 shows how to evaluate your trained model on Tau2Bench. diff --git a/brainstorming_forge_tau/tutorials/7_evaluating_on_tau2bench.md b/brainstorming_forge_tau/tutorials/7_evaluating_on_tau2bench.md deleted file mode 100644 index dba74ac3d..000000000 --- a/brainstorming_forge_tau/tutorials/7_evaluating_on_tau2bench.md +++ /dev/null @@ -1,473 +0,0 @@ -# Part 7: Evaluating Your Trained Model on Tau2Bench - -Once you've trained a model with multi-turn tool calling, you need to evaluate it on Tau2Bench to measure performance. - -## 7.1 Running Tau2Bench Evaluation - -### Using tau2 CLI Command - -**Basic usage:** -```bash -tau2 run \ - --domain mock \ - --agent-llm /path/to/your/trained/model \ - --mode solo -``` - -**Full options:** -```bash -tau2 run \ - --domain mock \ - --task-split test \ - --agent-llm /path/to/model \ - --mode solo \ - --output-dir ./results/tau2_eval \ - --num-workers 4 -``` - -**Configuration options:** - -| Flag | Description | Default | -|------|-------------|---------| -| `--domain` | Which domain to evaluate (mock, airline, retail, telecom) | Required | -| `--agent-llm` | Path to your model | Required | -| `--mode` | solo or normal | solo | -| `--task-split` | train, test, or base | base | -| `--output-dir` | Where to save results | ./results | -| `--num-workers` | Parallel evaluation workers | 1 | -| `--max-turns` | Max turns per episode | 10 | - -### How to Point to Your Trained Model - -**Option 1: HuggingFace checkpoint path** -```bash -tau2 run \ - --domain mock \ - --agent-llm "felipemello/qwen-tau2-finetuned" \ - --mode solo -``` - -**Option 2: Local checkpoint directory** -```bash -tau2 run \ - --domain mock \ - --agent-llm "/home/felipemello/forge/checkpoints/tau2_grpo/step_1000" \ - --mode solo -``` - -**Option 3: Using Forge saved checkpoints** - -Forge saves checkpoints via torchstore. Convert to HF format first: - -```python -# Convert Forge checkpoint to HuggingFace format -from transformers import AutoModelForCausalLM, AutoTokenizer - -# Load from torchstore -model_path = trainer.load_checkpoint(version=latest_version) - -# Load model -model = AutoModelForCausalLM.from_pretrained(model_path) -tokenizer = AutoTokenizer.from_pretrained(base_model_path) - -# Save in HF format -model.save_pretrained("./checkpoints/hf_format") -tokenizer.save_pretrained("./checkpoints/hf_format") -``` - -Then use: -```bash -tau2 run \ - --domain mock \ - --agent-llm "./checkpoints/hf_format" \ - --mode solo -``` - -## 7.2 Programmatic Evaluation (Gym Interface) - -For more control, use Tau2's Gym interface: - -```python -# examples/tau2bench/evaluate.py - -import gymnasium as gym -from tau2.gym import register_gym_agent, TAU_BENCH_ENV_ID -from transformers import AutoModelForCausalLM, AutoTokenizer - -# Register Tau2 gym environment -register_gym_agent() - -# Load your trained model -model_path = "./checkpoints/hf_format" -model = AutoModelForCausalLM.from_pretrained(model_path) -tokenizer = AutoTokenizer.from_pretrained(model_path) - - -def evaluate_on_tau2(domain: str, task_split: str = "test"): - """Evaluate model on Tau2Bench tasks.""" - - # Get all tasks for this domain - from tau2.data_model import load_tasks - tasks = load_tasks(domain=domain, split=task_split) - - results = [] - - for task in tasks: - # Create environment for this task - env = gym.make( - TAU_BENCH_ENV_ID, - domain=domain, - task_id=task["id"] - ) - - # Run episode - observation, info = env.reset() - done = False - turn = 0 - max_turns = 10 - - while not done and turn < max_turns: - # Build prompt - prompt = observation # Tau2 provides formatted observation - - # Generate response - inputs = tokenizer(prompt, return_tensors="pt") - outputs = model.generate( - **inputs, - max_new_tokens=256, - temperature=0.7 - ) - response_text = tokenizer.decode(outputs[0], skip_special_tokens=True) - - # Step environment - observation, reward, terminated, truncated, info = env.step(response_text) - done = terminated or truncated - turn += 1 - - # Collect result - results.append({ - "task_id": task["id"], - "reward": reward, - "num_turns": turn, - "success": reward > 0.5 - }) - - return results - - -# Run evaluation -results = evaluate_on_tau2(domain="mock", task_split="test") - -# Print summary -successes = sum(1 for r in results if r["success"]) -print(f"Success rate: {successes}/{len(results)} = {successes/len(results)*100:.1f}%") -print(f"Average reward: {sum(r['reward'] for r in results) / len(results):.3f}") -``` - -### Collecting Metrics - -```python -# examples/tau2bench/evaluate.py (continued) - -def aggregate_metrics(results: list[dict]) -> dict: - """Compute aggregate metrics.""" - return { - "total_tasks": len(results), - "successes": sum(1 for r in results if r["success"]), - "success_rate": sum(r["success"] for r in results) / len(results), - "average_reward": sum(r["reward"] for r in results) / len(results), - "average_turns": sum(r["num_turns"] for r in results) / len(results), - "max_reward": max(r["reward"] for r in results), - "min_reward": min(r["reward"] for r in results), - } - - -def save_results(results: list[dict], metrics: dict, output_path: str): - """Save evaluation results.""" - import json - - output = { - "metrics": metrics, - "per_task_results": results, - "timestamp": datetime.now().isoformat() - } - - with open(output_path, "w") as f: - json.dump(output, f, indent=2) - - print(f"Results saved to {output_path}") - - -# Use it -metrics = aggregate_metrics(results) -save_results(results, metrics, "./results/eval_results.json") -``` - -## 7.3 Interpreting Results - -### Understanding Tau2Bench Scores - -Tau2Bench computes multiple sub-scores that combine into final reward: - -```python -# Example result breakdown -{ - "task_id": "create_task_1", - "scores": { - "ACTION": 1.0, # Called correct tools with correct args - "ENV": 1.0, # Environment state is correct - "COMMUNICATE": 1.0, # Communicated required info to user - "NL_ASSERTIONS": 1.0 # (Optional) LLM-judged quality - }, - "final_reward": 1.0 # Product of all scores -} -``` - -**Score meanings:** - -**ACTION Score (0.0 or 1.0):** -- ✅ 1.0: Agent called all required tools with correct arguments -- ❌ 0.0: Missing tools or wrong arguments - -**ENV Score (0.0 or 1.0):** -- ✅ 1.0: Environment state matches expectations -- ❌ 0.0: Database inconsistencies, wrong object states - -**COMMUNICATE Score (0.0 or 1.0):** -- ✅ 1.0: Agent communicated all required information -- ❌ 0.0: Missing confirmations or key details - -**NL_ASSERTIONS Score (0.0-1.0):** -- LLM-based evaluation (experimental) -- Checks conversation quality, tone, etc. - -**Final Reward:** -```python -final_reward = ACTION * ENV * COMMUNICATE * NL_ASSERTIONS -``` - -If ANY component is 0, final reward is 0! - -### Debugging Failed Episodes - -**Inspect conversation history:** - -```python -def debug_failed_episode(task_id: str, domain: str): - """Inspect a failed episode.""" - env = gym.make(TAU_BENCH_ENV_ID, domain=domain, task_id=task_id) - - observation, info = env.reset() - messages = [] - done = False - - while not done: - # Generate (your model) - response = generate_response(observation) - messages.append({"role": "assistant", "content": response}) - - # Step - observation, reward, terminated, truncated, info = env.step(response) - messages.append({"role": "environment", "content": observation}) - done = terminated or truncated - - # Print full conversation - print(f"=== Episode: {task_id} ===") - for i, msg in enumerate(messages): - print(f"Turn {i}: [{msg['role']}] {msg['content']}") - - # Check what went wrong - print(f"\n=== Evaluation ===") - print(f"Final reward: {reward}") - print(f"Score breakdown: {info.get('scores', {})}") - - # Compare to expected - task_data = load_task(domain, task_id) - print(f"\n=== Expected Actions ===") - for action in task_data["evaluation_criteria"]["actions"]: - print(f"- {action['name']}({action['arguments']})") -``` - -**Common failure modes:** - -1. **Agent doesn't call tools** (ACTION=0) - - **Symptom**: Model generates text response instead of tool call - - **Fix**: Improve prompt engineering, more training on tool calling - -2. **Wrong tool arguments** (ACTION=0) - - **Symptom**: Tool called with incorrect parameters - - **Fix**: Better parsing, more diverse training data - -3. **Environment state wrong** (ENV=0) - - **Symptom**: Tools executed but state inconsistent - - **Fix**: Check tool execution logic, verify OpenEnv integration - -4. **Missing communication** (COMMUNICATE=0) - - **Symptom**: Agent completes task but doesn't confirm - - **Fix**: Add confirmation prompts, train on communication examples - -### Common Issues and Fixes - -**Issue 1: Model generates text instead of tool calls** - -```python -# Diagnosis: -# Response: "I'll create that task for you." -# Expected: {"name": "create_task", ...} - -# Fixes: -# 1. Check system prompt includes tool format -system_prompt = build_tool_calling_system_prompt(tools) - -# 2. Add few-shot examples -few_shot_examples = """ -Example: -User: Create a task called "Meeting" -Assistant: {"name": "create_task", "args": {"title": "Meeting"}} -""" - -# 3. Train on more tool calling data -``` - -**Issue 2: Environment state doesn't match expectations** - -```python -# Diagnosis: -# ENV score = 0 -# Expected: task_id="task_123" has status="completed" -# Actual: task_id="task_123" has status="pending" - -# Fixes: -# 1. Check tool execution -result = env.execute_tool(tool_call) -print(f"Tool result: {result}") # Verify success - -# 2. Verify OpenEnv is properly integrated -# Make sure tools actually modify environment state - -# 3. Check done() is called -# Tau2 requires explicit done() call to finalize -``` - -**Issue 3: Reward is always 0** - -```python -# Diagnosis: -# All scores show 0.0 - -# Check: -# 1. Is episode ending properly? -if not (agent_called_done or user_stopped): - # Episode didn't end correctly → reward = 0 - # Fix: Ensure done() tool is available and called - -# 2. Check task_split -# Don't evaluate on 'train' split if you trained on it! -# Use task_split='test' for fair evaluation -``` - -**Issue 4: Parser doesn't detect tool calls** - -```python -# Diagnosis: -# Model outputs: "I'll call create_task with title=Meeting" -# Parser returns: None - -# Fix: -def parse_tool_call(text: str): - # Add more robust parsing - # Try multiple formats - - # Format 1: Tagged - if "" in text: - match = re.search(r'(.*?)', text) - if match: - return json.loads(match.group(1)) - - # Format 2: Plain JSON - if '{"name":' in text: - match = re.search(r'\{.*"name".*\}', text) - if match: - return json.loads(match.group(0)) - - return None -``` - -### Example Evaluation Script - -**Complete evaluation with debugging:** - -```python -# examples/tau2bench/eval_with_debug.py - -def evaluate_and_debug( - model_path: str, - domain: str, - task_split: str = "test", - debug_failures: bool = True, -): - """Evaluate with automatic debugging of failures.""" - - model = AutoModelForCausalLM.from_pretrained(model_path) - tokenizer = AutoTokenizer.from_pretrained(model_path) - - tasks = load_tasks(domain, task_split) - results = [] - failures = [] - - for task in tasks: - env = gym.make(TAU_BENCH_ENV_ID, domain=domain, task_id=task["id"]) - - # Run episode - observation, info = env.reset() - done = False - messages = [] - - while not done: - prompt = build_prompt(observation, info["tools"]) - response = generate(model, tokenizer, prompt) - - messages.append({"role": "assistant", "content": response}) - observation, reward, terminated, truncated, info = env.step(response) - messages.append({"role": "env", "content": observation}) - done = terminated or truncated - - # Record result - result = { - "task_id": task["id"], - "reward": reward, - "scores": info.get("scores", {}), - "messages": messages - } - results.append(result) - - # Debug failures - if reward < 0.5 and debug_failures: - failures.append(result) - print(f"\n❌ FAILED: {task['id']}") - print(f" Scores: {result['scores']}") - print(f" Last 3 turns:") - for msg in messages[-3:]: - print(f" [{msg['role']}] {msg['content'][:100]}") - - # Summary - success_rate = sum(r["reward"] > 0.5 for r in results) / len(results) - print(f"\n{'='*50}") - print(f"Success Rate: {success_rate*100:.1f}%") - print(f"Average Reward: {sum(r['reward'] for r in results) / len(results):.3f}") - - if failures: - print(f"\n{len(failures)} failures. Common issues:") - action_fails = sum(1 for f in failures if f["scores"].get("ACTION", 1) == 0) - env_fails = sum(1 for f in failures if f["scores"].get("ENV", 1) == 0) - comm_fails = sum(1 for f in failures if f["scores"].get("COMMUNICATE", 1) == 0) - print(f" - ACTION failures: {action_fails}") - print(f" - ENV failures: {env_fails}") - print(f" - COMMUNICATE failures: {comm_fails}") - - return results -``` - ---- - -**Next**: Part 8 provides the complete implementation roadmap with effort estimates. diff --git a/brainstorming_forge_tau/tutorials/8_implementation_roadmap.md b/brainstorming_forge_tau/tutorials/8_implementation_roadmap.md deleted file mode 100644 index be0ebb3e2..000000000 --- a/brainstorming_forge_tau/tutorials/8_implementation_roadmap.md +++ /dev/null @@ -1,540 +0,0 @@ -# Part 8: Implementation Roadmap - -## 8.1 Already Supported in Forge ✅ - -Your Forge implementation already has: - -- ✅ **vLLM v1 Engine** (Generator) -- ✅ **Async generation** via Monarch actors -- ✅ **Distributed training** (Monarch process mesh) -- ✅ **GRPO algorithm** (group relative policy optimization) -- ✅ **Replay buffer** (decoupled rollout/training) -- ✅ **Reference model** (for KL divergence) -- ✅ **Multi-GPU support** -- ✅ **Episode management** (dataclass structure) -- ✅ **Weight syncing** via torchstore -- ✅ **Async rollout loops** (`continuous_rollouts`) - -**This is a solid foundation!** Multi-turn tool calling adds on top of this. - -## 8.2 What Needs to Be Added 🔧 - -### 1. Response Parsing for Tool Calls (2-4 hours) - -**What:** Detect and parse tool calls from model output - -**Files to create:** -- `forge/utils/parsing.py` - -**Functions:** -```python -def parse_tool_call(text: str) -> dict | None -def has_tool_call(text: str) -> bool -def parse_multiple_tool_calls(text: str) -> list[dict] -``` - -**Effort:** 2-4 hours (simple regex/JSON parsing) - -### 2. Multi-turn Rollout Loop (6-8 hours) - -**What:** Core `play_task()` function with multi-turn logic - -**Files to create:** -- `forge/rollouts/multiturn.py` - -**Functions:** -```python -async def play_task( - task: str, - policy: Generator, - tokenizer, - env: ToolEnv, - max_turns: int -) -> Episode -``` - -**Effort:** 6-8 hours (core logic, testing, debugging) - -### 3. Tool Environment (4-8 hours) - -**What:** OpenEnv integration for Tau2Bench - -**Files to create:** -- `forge/environments/tool_env.py` (base class) -- `examples/tau2bench/tau2_env.py` (Tau2-specific adapter) - -**Classes:** -```python -class ToolEnv(ABC): - async def initial_observation() - async def step(action) - def get_final_reward() - -class Tau2OpenEnv(ToolEnv): - # Tau2Bench-specific implementation -``` - -**Effort:** 4-8 hours (environment setup, tool execution, reward computation) - -### 4. Response Masking (4-6 hours) - -**What:** Track which tokens to train on - -**Files to modify/create:** -- `forge/data/episode.py` (add `response_mask` field) -- `forge/losses/grpo_loss.py` (add masking to loss) -- `forge/utils/masking.py` (masking utilities) - -**Functions:** -```python -def build_response_mask(messages: list[dict], tokenizer) -> list[int] -def apply_mask_to_loss(loss: Tensor, mask: Tensor) -> Tensor -``` - -**Effort:** 4-6 hours (dataclass updates, loss function modification, testing) - -### 5. Tool Schema Generation (2-4 hours) - -**What:** Convert Python functions to OpenAI tool schemas - -**Files to create:** -- `forge/utils/tool_schemas.py` - -**Functions:** -```python -def convert_func_to_oai_tool(func: callable) -> dict -def format_tools_for_prompt(tools: list[dict]) -> str -``` - -**Effort:** 2-4 hours (type hint parsing, schema generation) - -### 6. System Prompt Formatting (2-3 hours) - -**What:** Format prompts with tool definitions - -**Files to create:** -- `forge/utils/prompts.py` (core templates) -- `examples/tau2bench/prompts.py` (task-specific) - -**Functions:** -```python -def build_tool_calling_system_prompt(tools: list[dict]) -> str -def build_tau2_system_prompt(domain: str, tools: list[dict]) -> str -``` - -**Effort:** 2-3 hours (template creation, testing) - -### 7. Tau2 Evaluation Integration (4-6 hours) - -**What:** Scripts to evaluate on Tau2Bench - -**Files to create:** -- `examples/tau2bench/evaluate.py` -- `examples/tau2bench/eval_with_debug.py` - -**Functions:** -```python -def evaluate_on_tau2(model_path: str, domain: str) -> dict -def debug_failed_episode(task_id: str) -> None -``` - -**Effort:** 4-6 hours (evaluation loop, metrics, debugging tools) - -## 8.3 Implementation Checklist - -### Phase 1: Minimum Viable Tool Calling (1-2 days) - -**Goal:** Get basic multi-turn working on one task - -- [ ] **Step 1:** Implement `parse_tool_call()` in `forge/utils/parsing.py` - - Test with sample responses - - Handle edge cases (malformed JSON, etc.) - -- [ ] **Step 2:** Create basic `ToolEnv` interface in `forge/environments/tool_env.py` - - Abstract base class - - Simple mock implementation for testing - -- [ ] **Step 3:** Implement `play_task()` in `forge/rollouts/multiturn.py` - - Start with Pattern A (simple concat) - - No masking yet - - Test with mock environment - -- [ ] **Step 4:** Test end-to-end on simple task - - Use mock domain - - Single task: create_task - - Verify multi-turn loop works - - Check episode structure - -**Validation:** -```bash -# Should complete without errors -python -m forge.rollouts.multiturn_test -``` - -### Phase 2: Integration with Forge GRPO (2-3 days) - -**Goal:** Full training loop with masking - -- [ ] **Step 5:** Add `response_mask` to Episode dataclass - - Update `forge/data/episode.py` - - Add helper methods (`mask_tensor()`, etc.) - - Update serialization if needed - -- [ ] **Step 6:** Implement response masking utilities - - Create `forge/utils/masking.py` - - Build masks during `play_task()` - - Test mask correctness - -- [ ] **Step 7:** Update GRPO loss with masking - - Modify `forge/losses/grpo_loss.py` - - Add `response_mask` parameter - - Combine with padding mask - - Verify gradients flow correctly - -- [ ] **Step 8:** Update `continuous_rollouts` to use `play_task()` - - Modify `examples/tau2bench/grpo/main.py` - - Handle multi-turn episodes - - Batch reference model calls - - Test with small batch - -- [ ] **Step 9:** Test training loop - - Run 10 training steps - - Verify loss decreases - - Check GPU memory usage - - Monitor metrics - -**Validation:** -```bash -# Should train successfully -python examples/tau2bench/grpo/main.py --config config.yaml --steps 10 -``` - -### Phase 3: Production-Ready (3-5 days) - -**Goal:** Complete, robust implementation - -- [ ] **Step 10:** Implement tool schema generation - - Create `forge/utils/tool_schemas.py` - - Support type-hinted functions - - Generate OpenAI-compatible schemas - - Test with Tau2 tools - -- [ ] **Step 11:** Create system prompt templates - - Core templates in `forge/utils/prompts.py` - - Tau2-specific in `examples/tau2bench/prompts.py` - - Test prompt quality - -- [ ] **Step 12:** Implement Tau2OpenEnv - - Create `examples/tau2bench/tau2_env.py` - - Load Tau2 tasks - - Execute tools via OpenEnv - - Compute Tau2 rewards - - Test on all mock domain tasks - -- [ ] **Step 13:** Add comprehensive logging - - Log episode details - - Track multi-turn metrics (turns per episode, etc.) - - Monitor tool call success rate - - Save failed episodes for debugging - -- [ ] **Step 14:** Error handling and edge cases - - Tool execution timeouts - - Malformed tool calls - - Max turns limit - - Environment errors - - Graceful degradation - -- [ ] **Step 15:** Refactor to Pattern B (Tinker-style) - - Implement Renderer class - - Clean up abstractions - - Improve code organization - - Add tests - -**Validation:** -```bash -# Should handle all cases robustly -python examples/tau2bench/grpo/main.py --config config.yaml --steps 100 -# Check logs for errors -``` - -### Phase 4: Tau2Bench Evaluation (1-2 days) - -**Goal:** Evaluate trained model on benchmark - -- [ ] **Step 16:** Implement evaluation script - - Create `examples/tau2bench/evaluate.py` - - Load trained checkpoint - - Run on Tau2 test split - - Collect metrics - -- [ ] **Step 17:** Add debugging tools - - Create `examples/tau2bench/eval_with_debug.py` - - Inspect failed episodes - - Analyze score breakdown - - Generate debug reports - -- [ ] **Step 18:** Create results analysis - - Aggregate metrics (success rate, avg reward, etc.) - - Per-domain breakdown - - Per-task results - - Visualizations (optional) - -- [ ] **Step 19:** Run full evaluation on trained model - - Train on mock domain (train split) - - Evaluate on mock domain (test split) - - Analyze results - - Iterate on prompts/training based on failures - -**Validation:** -```bash -# Evaluate on Tau2Bench -python examples/tau2bench/evaluate.py \ - --model ./checkpoints/tau2_grpo \ - --domain mock \ - --split test - -# Should output success rate and detailed metrics -``` - -## Total Estimated Effort - -| Phase | Days | Cumulative | -|-------|------|------------| -| Phase 1: MVP | 1-2 | 1-2 | -| Phase 2: Integration | 2-3 | 3-5 | -| Phase 3: Production | 3-5 | 6-10 | -| Phase 4: Evaluation | 1-2 | 7-12 | - -**Total: 1.5 - 2.5 weeks** for complete implementation - -**Breakdown by complexity:** -- **Simple** (Phase 1): Get it working -- **Medium** (Phase 2): Integrate with Forge -- **Complex** (Phase 3): Production-ready, robust -- **Validation** (Phase 4): Measure performance - -## 8.4 Next Steps and Quick Reference - -### Immediate Next Steps - -1. **Choose a pattern** from Part 5 - - **Recommendation**: Start with Pattern A (simple concat) - - Move to Pattern B (Tinker) when stable - -2. **Set up environment** - - Start OpenEnv Docker server - - Load Tau2Bench data - - Test basic connectivity - -3. **Implement Phase 1** (MVP) - - `parse_tool_call()` function - - Basic `play_task()` loop - - Mock environment for testing - - Verify multi-turn works - -4. **Test on one task** - - Mock domain: create_task_1 - - Run end-to-end - - Debug and iterate - -5. **Scale up** - - Add response masking - - Integrate with GRPO - - Train on full mock domain - -### Key Files to Create - -**Core Utilities** (reusable): -``` -forge/ -├── utils/ -│ ├── parsing.py # parse_tool_call(), has_tool_call() -│ ├── prompts.py # build_tool_calling_system_prompt() -│ ├── renderers.py # Renderer, Qwen3Renderer -│ ├── masking.py # build_response_mask() -│ └── tool_schemas.py # convert_func_to_oai_tool() -├── rollouts/ -│ └── multiturn.py # play_task(), do_rollout() -├── environments/ -│ └── tool_env.py # ToolEnv base class -├── data/ -│ ├── episode.py # Updated Episode with response_mask -│ └── trajectory_processing.py # trajectory_to_episode() -└── losses/ - └── grpo_loss.py # grpo_loss_with_masking() -``` - -**Tau2Bench Example** (task-specific): -``` -examples/tau2bench/grpo/ -├── main.py # Training script -├── tau2_env.py # Tau2OpenEnv adapter -├── tau2_utils.py # Task loading, reward computation -├── prompts.py # Tau2-specific prompt templates -├── config.yaml # Configuration -├── evaluate.py # Evaluation script -└── eval_with_debug.py # Debugging tools -``` - -### Key Concepts Recap - -**Multi-turn** = multiple back-and-forth exchanges in one episode -- Loop until done or max_turns -- Accumulate conversation history -- Concatenate tokens from all turns - -**Tool calling** = model invokes functions, not just text -- Parse tool calls from output -- Execute via environment -- Add results to history -- Continue loop - -**Response mask** = which tokens to train on -- 1 = LLM-generated (train) -- 0 = Tool results, prompts (ignore) -- Apply during loss computation - -**Environment** = executes tools, manages state, provides rewards -- `.reset()` - start episode -- `.step(action)` - execute tool -- `.get_final_reward()` - score episode - -**Sparse reward** = only at episode end -- Intermediate steps: reward = 0.0 -- Final step: reward from environment -- Matches Tau2Bench pattern - -### Questions to Answer as You Implement - -**Pattern Selection:** -- Start with Pattern A or B? - - **A** if you want simplest path - - **B** if you want clean code from start - -**Code Organization:** -- Which utilities are core vs task-specific? - - Use decision framework from Part 6.2 - -**OpenEnv Setup:** -- How to configure OpenEnv for Tau2Bench? - - Docker container with Tau2 tools - - See Tau2 docs for environment setup - -**Evaluation:** -- When to evaluate on Tau2? - - After Phase 3 (production-ready) - - Use test split, not train - -### Troubleshooting Tips - -**If multi-turn loop doesn't work:** -- Check `parse_tool_call()` with print statements -- Verify environment returns correct observations -- Test with max_turns=1 first (single-turn) - -**If training fails:** -- Check response_mask is correct shape -- Verify mask applied in loss function -- Start with small batch (batch_size=2) -- Monitor GPU memory - -**If evaluation fails:** -- Check model outputs tool calls correctly -- Verify prompt includes tool definitions -- Test parser with model outputs -- Inspect failed episode conversation - -**If Tau2 scores are low:** -- Check ACTION score (are tools called?) -- Check ENV score (is state correct?) -- Debug individual failed tasks -- Iterate on prompts and training - -### Success Metrics - -**Phase 1 (MVP):** -- ✅ Multi-turn loop completes without errors -- ✅ Episodes have correct token structure -- ✅ Can run on mock task - -**Phase 2 (Integration):** -- ✅ Training runs for 100 steps -- ✅ Loss decreases -- ✅ Response masking applied correctly -- ✅ No GPU OOM errors - -**Phase 3 (Production):** -- ✅ Handles all edge cases gracefully -- ✅ Clean, maintainable code -- ✅ Comprehensive logging -- ✅ All mock domain tasks work - -**Phase 4 (Evaluation):** -- ✅ Success rate > 0% on Tau2 test split -- ✅ Can identify failure modes -- ✅ Metrics match expectations -- ✅ Model improves with training - -### Final Checklist - -Before considering implementation complete: - -- [ ] Multi-turn loop works on all Tau2 mock tasks -- [ ] Response masking tested and verified -- [ ] Training loop stable for 1000+ steps -- [ ] Evaluation script produces meaningful results -- [ ] Code is clean and documented -- [ ] Tests pass -- [ ] Can reproduce results -- [ ] Performance metrics logged -- [ ] Ready to scale to other domains (airline, retail, etc.) - ---- - -## 9. Open Questions for Further Research - -Based on the tutorial creation, here are open questions to investigate: - -### 1. Forge Async Engine Support -**Question:** Does Forge Generator support vLLM's `async_engine: true` flag, or does Monarch handle async differently? -**Action:** Check `forge/actors/generator.py` to understand async mechanism -**Impact:** Affects Pattern D implementation (async pipelining) - -### 2. vLLM Configuration Flags in Forge -**Question:** Which vLLM flags work with Forge Generator? (`enable_auto_tool_choice`, `tool_call_parser`, etc.) -**Action:** Test different EngineArgs flags -**Impact:** Determines if Pattern E (native tools) is directly usable - -### 3. Optimal Episode Strategy for Forge -**Question:** Strategy A (per-step) vs Strategy B (concatenated) - which performs better with Forge GRPO? -**Action:** Benchmark both on same task -**Impact:** Choose default pattern for production - -### 4. Response Masking Performance -**Question:** How much does response masking improve sample efficiency? -**Action:** Train with/without masking, compare convergence -**Impact:** Validate masking is worth the complexity - -### 5. OpenEnv + Tau2Bench Integration Details -**Question:** Best way to set up OpenEnv Docker containers with Tau2Bench tools? -**Action:** Create setup script and test -**Impact:** Ease of getting started - -### 6. Memory Scaling -**Question:** How many concurrent samples can run with async pipelining before GPU OOM? -**Action:** Benchmark with different batch sizes -**Impact:** Production deployment planning - -### 7. Model Tool Calling Capability -**Question:** Does Qwen2.5-1.5B need fine-tuning for tool calling, or can it zero-shot? -**Action:** Test base model on Tau2 before training -**Impact:** Determines if SFT phase needed before RL - -### 8. Alternative Reward Shaping -**Question:** Can dense rewards (per-step) improve over sparse (end-of-episode)? -**Action:** Experiment with reward shaping on mock domain -**Impact:** Better credit assignment strategies - ---- - -**You now have 8 complete tutorial documents!** Start with Part 1 and work through sequentially. Good luck with your implementation! 🚀 diff --git a/debug/KL_CLIPPING_SUMMARY.md b/debug/KL_CLIPPING_SUMMARY.md deleted file mode 100644 index fbbca344f..000000000 --- a/debug/KL_CLIPPING_SUMMARY.md +++ /dev/null @@ -1,134 +0,0 @@ -# KL Clipping Implementation Summary - -## Changes Made to `apps/blackjack/main_v2.py` - -### 1. KL Divergence Clipping (Line 1327-1333) - -**Before:** -```python -kl = torch.exp(ref_logprobs - logprobs) - (ref_logprobs - logprobs) - 1 -``` - -**After:** -```python -# Following VERL's approach: clip log difference before exp for numerical stability -logprob_diff_clipped = torch.clamp(logprob_diff, min=-20.0, max=20.0) -kl = torch.exp(logprob_diff_clipped) - logprob_diff_clipped - 1 -# Clip final KL to prevent extreme values -kl = torch.clamp(kl, min=-10.0, max=10.0) -``` - -**Why This Works:** -- **First clamp [-20, 20]**: Prevents numerical overflow/underflow in `exp()` - - exp(-20) ≈ 2e-9 (very small but not zero) - - exp(20) ≈ 485M (large but not inf) -- **Second clamp [-10, 10]**: Bounds the final KL divergence - - Prevents extreme KL values from dominating the loss - - Your previous KL was **61 million** → now capped at 10.0 - -**Based on:** VERL's `kl_penalty_forward()` with "low_var_kl" estimator - ---- - -## Additional Recommendations - -### 2. Add Gradient Clipping to Config - -Your config doesn't have gradient clipping. Add this to `apps/blackjack/*.yaml`: - -```yaml -trainer: - optimizer: - name: AdamW - lr: 1e-5 - eps: 1e-8 - gradient_clipping: - max_norm: 1.0 # Clip gradients to max norm of 1.0 - lr_scheduler: - warmup_steps: 1 -``` - -**Why:** Prevents large gradient updates that can cause policy divergence (especially at step 2). - -**Typical values:** -- `max_norm: 0.5` - Conservative (used by many RL papers) -- `max_norm: 1.0` - Standard (good starting point) -- `max_norm: 5.0` - Lenient - ---- - -### 3. Consider Increasing Batch Size - -Your current config: -- `group_size: 4` (4 games per rollout) -- `local_batch_size: 8` (8 sequences per batch) - -With such small batches, a single bad episode can cause large gradient updates. - -**Recommendations:** -- Increase `group_size` to 8 or 16 -- This provides more stable advantage estimates -- Reduces variance in gradient updates - ---- - -### 4. Monitor These Metrics - -After the fix, watch these metrics in your training logs: - -``` -loss_debug/logprob_diff_mean # Should be close to 0 -loss_debug/logprob_diff_max # Should be < 20 (clipped) -loss_debug/kl_mean # Should be < 1.0 typically -loss_debug/kl_max # Should be = 10.0 (clipped) initially -``` - -If `kl_max` stays at 10.0 for many steps, it means clipping is active. You may need to: -- Reduce learning rate -- Increase beta (KL coefficient) -- Add stronger gradient clipping - ---- - -## What Was Causing the Explosion? - -Looking at your dump: -- **Position 221**: Token `\n\n` (271) predicting next token ` 8.0) -per_token_loss = per_token_loss * (~is_masked).float() -``` - -This masks tokens where the policy has diverged too far (outside [1/8, 8] ratio). diff --git a/debug/__init__.py b/debug/__init__.py deleted file mode 100644 index 2e41cd717..000000000 --- a/debug/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. diff --git a/debug/analyze_loss_dump.py b/debug/analyze_loss_dump.py deleted file mode 100644 index 13b1f96d5..000000000 --- a/debug/analyze_loss_dump.py +++ /dev/null @@ -1,204 +0,0 @@ -#!/usr/bin/env python3 -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Analyze the debug dump files from the loss function. -""" - -import sys - -import torch - -# Load the most recent dump file -dump_file = ( - sys.argv[1] if len(sys.argv) > 1 else "/tmp/grpo_loss_debug_20251119_140858.pt" -) - -print("=" * 80) -print(f"Loading dump file: {dump_file}") -print("=" * 80) - -data = torch.load(dump_file, map_location="cpu") - -# Print what triggered the dump -print(f"\n🔥 TRIGGER: {data['trigger_stat']} = {data['trigger_value']:.2f}") -print(f" Beta: {data['beta']}") - -# Print shapes -print("\n📊 Tensor Shapes:") -print(f" logits: {data['logits'].shape}") -print(f" input_ids: {data['input_ids'].shape}") -print(f" targets: {data['targets'].shape}") -print(f" loss_mask: {data['loss_mask'].shape}") -print(f" logprobs: {data['logprobs'].shape}") -print(f" ref_logprobs: {data['ref_logprobs'].shape}") -print(f" advantages: {data['advantages'].shape}") - -# Get basic stats -batch_size, seq_len = data["input_ids"].shape -num_trainable = data["loss_mask"].sum().item() - -print(f"\n📈 Basic Stats:") -print(f" Batch size: {batch_size}") -print(f" Sequence length: {seq_len}") -print(f" Trainable positions: {num_trainable}") - -# Analyze targets -targets = data["targets"] -input_ids = data["input_ids"] -loss_mask = data["loss_mask"] -logprobs = data["logprobs"] -ref_logprobs = data["ref_logprobs"] -kl = data["kl"] - -print(f"\n🎯 Targets Analysis:") -ignore_idx = -100 -num_ignore = (targets == ignore_idx).sum().item() -num_valid = (targets != ignore_idx).sum().item() -print(f" IGNORE positions: {num_ignore} ({100*num_ignore/(batch_size*seq_len):.1f}%)") -print(f" Valid targets: {num_valid} ({100*num_valid/(batch_size*seq_len):.1f}%)") -print(f" Trainable (loss_mask=1): {num_trainable}") - -# Check if targets align with loss_mask -targets_match_mask = ((targets != ignore_idx).float() == loss_mask).all() -print(f" Targets match loss_mask: {targets_match_mask}") - -if not targets_match_mask: - print(" ⚠️ MISMATCH DETECTED!") - mismatch_count = ((targets != ignore_idx).float() != loss_mask).sum().item() - print(f" Mismatched positions: {mismatch_count}") - -# Analyze logprobs and ref_logprobs -print(f"\n📉 Logprobs Analysis (trainable positions only):") -trainable_mask = loss_mask.bool() - -if num_trainable > 0: - lp_train = logprobs[trainable_mask] - ref_lp_train = ref_logprobs[trainable_mask] - - print(f" Logprobs:") - print(f" Mean: {lp_train.mean().item():.4f}") - print(f" Min: {lp_train.min().item():.4f}") - print(f" Max: {lp_train.max().item():.4f}") - print(f" Std: {lp_train.std().item():.4f}") - - print(f" Ref Logprobs:") - print(f" Mean: {ref_lp_train.mean().item():.4f}") - print(f" Min: {ref_lp_train.min().item():.4f}") - print(f" Max: {ref_lp_train.max().item():.4f}") - print(f" Std: {ref_lp_train.std().item():.4f}") - - # Logprob difference - diff = ref_lp_train - lp_train - print(f" Logprob Diff (ref - policy):") - print(f" Mean: {diff.mean().item():.4f}") - print(f" Min: {diff.min().item():.4f}") - print(f" Max: {diff.max().item():.4f}") - print(f" Std: {diff.std().item():.4f}") - - # Check for extreme values - extreme_diff = diff.abs() > 10 - if extreme_diff.any(): - print( - f" ⚠️ EXTREME DIFFS: {extreme_diff.sum().item()} positions with |diff| > 10" - ) - print(f" Max extreme: {diff.abs().max().item():.4f}") - -# Analyze KL divergence -print(f"\n🔥 KL Divergence Analysis (trainable positions only):") -if num_trainable > 0: - kl_train = kl[trainable_mask] - - print(f" KL:") - print(f" Mean: {kl_train.mean().item():.4f}") - print(f" Min: {kl_train.min().item():.4f}") - print(f" Max: {kl_train.max().item():.4f}") - print(f" Std: {kl_train.std().item():.4f}") - - # Check for extreme KL - extreme_kl = kl_train > 1000 - if extreme_kl.any(): - print(f" 🔥 EXTREME KL: {extreme_kl.sum().item()} positions with KL > 1000") - print(f" Max KL: {kl_train.max().item():.4f}") - -# Find the worst position -print(f"\n🔍 Finding Worst Position:") -kl_flat = kl.view(-1) -worst_idx = kl_flat.argmax().item() -worst_batch = worst_idx // seq_len -worst_pos = worst_idx % seq_len - -print(f" Position: batch={worst_batch}, pos={worst_pos}") -print(f" input_id: {input_ids[worst_batch, worst_pos].item()}") -print(f" target: {targets[worst_batch, worst_pos].item()}") -print(f" loss_mask: {loss_mask[worst_batch, worst_pos].item()}") -print(f" logprob: {logprobs[worst_batch, worst_pos].item():.4f}") -print(f" ref_logprob: {ref_logprobs[worst_batch, worst_pos].item():.4f}") -print( - f" diff: {(ref_logprobs[worst_batch, worst_pos] - logprobs[worst_batch, worst_pos]).item():.4f}" -) -print(f" KL: {kl[worst_batch, worst_pos].item():.4f}") - -# Show context around worst position -print(f"\n📝 Context around worst position (batch={worst_batch}):") -start = max(0, worst_pos - 5) -end = min(seq_len, worst_pos + 6) - -print( - f" {'Pos':>4} {'Input':>8} {'Target':>8} {'Mask':>5} {'LogP':>10} {'RefLP':>10} {'Diff':>8} {'KL':>10}" -) -print(f" {'-'*70}") -for i in range(start, end): - inp = input_ids[worst_batch, i].item() - tgt = targets[worst_batch, i].item() - mask = loss_mask[worst_batch, i].item() - lp = logprobs[worst_batch, i].item() - ref_lp = ref_logprobs[worst_batch, i].item() - diff = ref_lp - lp - kl_val = kl[worst_batch, i].item() - - tgt_str = "IGNORE" if tgt == ignore_idx else f"{tgt:6d}" - flag = " ← WORST" if i == worst_pos else "" - - print( - f" {i:4d} {inp:8d} {tgt_str:>8s} {mask:5.1f} {lp:10.4f} {ref_lp:10.4f} {diff:8.4f} {kl_val:10.4f}{flag}" - ) - -# Check if ref_logprobs are all zeros (uninitialized?) -print(f"\n🔎 Checking for Uninitialized Values:") -ref_lp_all_zero = (ref_logprobs == 0).all() -ref_lp_mostly_zero = (ref_logprobs == 0).sum().item() / (batch_size * seq_len) -print(f" Ref logprobs all zero: {ref_lp_all_zero}") -print(f" Ref logprobs fraction zero: {ref_lp_mostly_zero:.2%}") - -lp_all_zero = (logprobs == 0).all() -lp_mostly_zero = (logprobs == 0).sum().item() / (batch_size * seq_len) -print(f" Policy logprobs all zero: {lp_all_zero}") -print(f" Policy logprobs fraction zero: {lp_mostly_zero:.2%}") - -# Check if targets are actually shifted correctly -print(f"\n🔄 Checking Target Shift Correctness:") -print(" First sequence, first 20 positions:") -print( - f" {'Pos':>4} {'Input[i]':>10} {'Input[i+1]':>10} {'Target[i]':>10} {'Match':>6}" -) -print(f" {'-'*50}") -for i in range(min(20, seq_len - 1)): - inp_i = input_ids[0, i].item() - inp_next = input_ids[0, i + 1].item() - tgt_i = targets[0, i].item() - - if tgt_i == ignore_idx: - match = "N/A" - tgt_str = "IGNORE" - else: - match = "✓" if inp_next == tgt_i else "✗" - tgt_str = f"{tgt_i:8d}" - - print(f" {i:4d} {inp_i:10d} {inp_next:10d} {tgt_str:>10s} {match:>6s}") - -print("\n" + "=" * 80) diff --git a/debug/analyze_loss_dump_v6.py b/debug/analyze_loss_dump_v6.py deleted file mode 100644 index 4edfa67f6..000000000 --- a/debug/analyze_loss_dump_v6.py +++ /dev/null @@ -1,229 +0,0 @@ -#!/usr/bin/env python3 -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Analyze V6 loss dump files to find the culprit tokens causing KL explosion. - -Automatically loads the most recent dump files (V6 only, skips V5). -""" - -import sys - -sys.path.insert(0, "/home/felipemello/forge") - -import glob -import os -from datetime import datetime - -import torch -from vllm.transformers_utils.tokenizer import get_tokenizer - - -def find_recent_dumps(max_age_hours=2): - """Find dump files created in the last N hours.""" - dump_files = glob.glob("/tmp/grpo_loss_debug_*.pt") - - recent_dumps = [] - now = datetime.now() - - for path in dump_files: - # Extract timestamp from filename: grpo_loss_debug_YYYYMMDD_HHMMSS.pt - basename = os.path.basename(path) - timestamp_str = basename.replace("grpo_loss_debug_", "").replace(".pt", "") - - try: - file_time = datetime.strptime(timestamp_str, "%Y%m%d_%H%M%S") - age_hours = (now - file_time).total_seconds() / 3600 - - if age_hours <= max_age_hours: - recent_dumps.append((path, file_time, age_hours)) - except ValueError: - continue - - # Sort by timestamp (newest first) - recent_dumps.sort(key=lambda x: x[1], reverse=True) - return recent_dumps - - -def analyze_dump(dump_path, tokenizer): - """Analyze a single dump file and show culprit tokens.""" - print("\n" + "=" * 80) - print(f"ANALYZING: {os.path.basename(dump_path)}") - print("=" * 80) - - # Load dump - dump = torch.load(dump_path, map_location="cpu") - - # Extract tensors - input_ids = dump["input_ids"] - targets = dump["targets"] - loss_mask = dump["loss_mask"] - logprobs = dump["logprobs"] - ref_logprobs = dump["ref_logprobs"] - kl = dump["kl"] - - batch_size, seq_len = input_ids.shape - - print(f"\nDump metadata:") - print(f" Trigger stat: {dump['trigger_stat']}") - print(f" Trigger value: {dump['trigger_value']:.2f}") - print(f" Beta: {dump['beta']}") - print(f" Batch size: {batch_size}") - print(f" Sequence length: {seq_len}") - - # Find positions with masked KL - masked_kl = kl * loss_mask - - # Statistics - num_trainable = loss_mask.sum().item() - kl_mean = (masked_kl.sum() / num_trainable).item() if num_trainable > 0 else 0.0 - - print(f"\nKL statistics:") - print(f" Trainable positions: {int(num_trainable)}") - print(f" KL mean: {kl_mean:.2f}") - - # Analyze each sequence in batch - for seq_idx in range(min(batch_size, 3)): # Show first 3 sequences - print("\n" + "-" * 80) - print(f"SEQUENCE {seq_idx}") - print("-" * 80) - - seq_kl = kl[seq_idx] - seq_mask = loss_mask[seq_idx] - seq_masked_kl = masked_kl[seq_idx] - - # Find top 10 positions with highest KL - trainable_positions = torch.where(seq_mask > 0)[0] - - if len(trainable_positions) == 0: - print(" No trainable positions!") - continue - - trainable_kl_values = seq_masked_kl[trainable_positions] - top_k = min(10, len(trainable_positions)) - top_kl_values, top_indices_in_trainable = torch.topk(trainable_kl_values, top_k) - top_positions = trainable_positions[top_indices_in_trainable] - - print(f"\nTop {top_k} positions with highest KL:") - print( - f"{'Pos':>4} {'Input':>10} {'InToken':>15} {'Target':>10} {'TgtToken':>15} " - f"{'LogProb':>10} {'RefLogP':>10} {'Diff':>8} {'KL':>12}" - ) - print("-" * 120) - - for pos in top_positions: - pos_idx = pos.item() - - inp_id = input_ids[seq_idx, pos_idx].item() - inp_token = tokenizer.decode([inp_id])[:12] - - tgt_id = targets[seq_idx, pos_idx].item() - if tgt_id == -100: - tgt_token = "IGNORE" - else: - tgt_token = tokenizer.decode([tgt_id])[:12] - - lp = logprobs[seq_idx, pos_idx].item() - ref_lp = ref_logprobs[seq_idx, pos_idx].item() - diff = ref_lp - lp - kl_val = seq_kl[pos_idx].item() - - flag = "" - if kl_val > 1000: - flag = " 🔥" - - print( - f"{pos_idx:4d} {inp_id:10d} {inp_token:>15s} {tgt_id:10d} {tgt_token:>15s} " - f"{lp:10.4f} {ref_lp:10.4f} {diff:8.4f} {kl_val:12.2f}{flag}" - ) - - # Find THE position with max KL - max_kl_pos = torch.argmax(seq_masked_kl).item() - max_kl_val = seq_masked_kl[max_kl_pos].item() - - print(f"\n🔥 MAXIMUM KL position: {max_kl_pos}") - print(f" KL value: {max_kl_val:.2f}") - - inp_id = input_ids[seq_idx, max_kl_pos].item() - tgt_id = targets[seq_idx, max_kl_pos].item() - lp = logprobs[seq_idx, max_kl_pos].item() - ref_lp = ref_logprobs[seq_idx, max_kl_pos].item() - diff = ref_lp - lp - - inp_token = tokenizer.decode([inp_id]) - tgt_token = tokenizer.decode([tgt_id]) if tgt_id != -100 else "IGNORE" - - print(f" Input token: {inp_id} ({inp_token!r})") - print(f" Target token: {tgt_id} ({tgt_token!r})") - print(f" Policy logprob: {lp:.4f}") - print(f" Ref logprob: {ref_lp:.4f}") - print(f" Difference: {diff:.4f}") - print(f" exp({diff:.4f}) = {torch.exp(torch.tensor(diff)).item():.2e}") - - # Show context around max position - context_start = max(0, max_kl_pos - 5) - context_end = min(seq_len, max_kl_pos + 6) - - print(f"\n Context (positions {context_start} to {context_end-1}):") - context_tokens = input_ids[seq_idx, context_start:context_end].tolist() - context_text = tokenizer.decode(context_tokens) - print(f" {context_text!r}") - - # Show token-by-token context - print(f"\n Token-by-token context:") - for i in range(context_start, context_end): - tok_id = input_ids[seq_idx, i].item() - tok_str = tokenizer.decode([tok_id]) - mask = seq_mask[i].item() - marker = ">>> " if i == max_kl_pos else " " - print(f" {marker}[{i:3d}] {tok_id:6d} {tok_str!r:20s} (mask={mask:.1f})") - - -def main(): - print("\n" + "=" * 80) - print("V6 LOSS DUMP ANALYZER - Automatic Recent Dumps") - print("=" * 80) - - # Find recent dumps (last 2 hours) - recent_dumps = find_recent_dumps(max_age_hours=2) - - if not recent_dumps: - print("\n❌ No recent dump files found in /tmp/grpo_loss_debug_*.pt") - print(" (Looking for files created in the last 2 hours)") - return - - print(f"\n✓ Found {len(recent_dumps)} recent dump file(s):") - for path, timestamp, age_hours in recent_dumps: - size_mb = os.path.getsize(path) / (1024 * 1024) - print(f" - {os.path.basename(path)}") - print( - f" Created: {timestamp.strftime('%Y-%m-%d %H:%M:%S')} ({age_hours:.1f} hours ago)" - ) - print(f" Size: {size_mb:.1f} MB") - - # Load tokenizer - print("\n✓ Loading tokenizer...") - tokenizer = get_tokenizer("Qwen/Qwen2.5-0.5B-Instruct") - - # Analyze each dump (most recent first) - for path, timestamp, age_hours in recent_dumps[:5]: # Limit to 2 most recent - try: - analyze_dump(path, tokenizer) - except Exception as e: - print(f"\n❌ Error analyzing {os.path.basename(path)}: {e}") - import traceback - - traceback.print_exc() - - print("\n" + "=" * 80) - print("ANALYSIS COMPLETE") - print("=" * 80) - print() - - -if __name__ == "__main__": - main() diff --git a/debug/correctness_investigation.md b/debug/correctness_investigation.md deleted file mode 100644 index 8f48c85ee..000000000 --- a/debug/correctness_investigation.md +++ /dev/null @@ -1,589 +0,0 @@ -# Multi-Turn RL Training Correctness Investigation (UPDATED) - -**Date:** 2025-11-19 -**Code:** `apps/blackjack/main_v2.py` -**Objective:** Root-cause analysis and first-principles fix for next-token prediction in GRPO training - ---- - -## Executive Summary - -### THE FUNDAMENTAL PROBLEM - -**Current Implementation Confuses "Response Tokens" with "Trainable Positions"** - -- **response_mask marks which tokens ARE responses** (the generated output) -- **But we need a mask for which POSITIONS contribute to loss** (shifted by 1!) -- These are NOT the same due to next-token prediction shift - -### Root Causes Identified: - -1. **❌ CRITICAL: Logits-Tokens Misalignment** - `compute_logprobs` uses wrong positions -2. **❌ CRITICAL: Mask Naming Confusion** - "response_mask" should be "response_token_mask" -3. **❌ CRITICAL: Missing Training Mask** - Need `training_mask[i] = 1.0 if response_token_mask[i+1]` -4. **❌ Targets Created But Unused** - Extra computation that's never used - ---- - -## Part 1: Understanding Next-Token Prediction - -### The Fundamental Shift - -In causal language models: - -``` -Input tokens: [A, B, C, D, E] -Model processes: A→ AB→ ABC→ ABCD→ ABCDE→ - -Logits produced: - logits[0] = P(? | A) → predicts B - logits[1] = P(? | AB) → predicts C - logits[2] = P(? | ABC) → predicts D - logits[3] = P(? | ABCD) → predicts E - logits[4] = P(? | ABCDE) → predicts F (next token after E) -``` - -**Key Insight:** `logits[i]` predicts `tokens[i+1]`, NOT `tokens[i]` - -### Why This Matters for Masks - -``` -Sequence: [System, User, Agent_Response, EOS, User, ...] - -response_token_mask: [0, 0, 1, 1, 0, ...] - ↑ ↑ ↑ ↑ ↑ - Which tokens ARE responses - -training_mask: [0, 1, 1, 0, 0, ...] - ↑ ↑ ↑ ↑ ↑ - Which POSITIONS contribute to loss - -Position 1 predicts token 2 (Agent_Response) → trainable! -Position 2 predicts token 3 (EOS) → trainable! -Position 3 predicts token 4 (User) → NOT trainable! (don't predict after EOS) -``` - -**Formula:** `training_mask[i] = 1.0 if (response_token_mask[i+1] == 1 AND tokens[i] != EOS)` - ---- - -## Part 2: How Other Libraries Handle This - -### 2.1 VERL Approach - -**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` - -VERL **explicitly separates** three different masks: - -1. **`attention_mask`** - Valid tokens vs padding (for attention ops) -2. **`response_mask`** - Which tokens are responses (what was generated) -3. **`loss_mask`** - Which positions contribute to loss (trainable positions) - -**Key Code:** -```python -class AsyncRolloutRequest: - loss_mask: Optional[torch.Tensor] = None # Trainable positions - response_mask: Optional[torch.Tensor] = None # Response tokens - -# When adding assistant message: -self._update_input_ids(new_tokens, attention_mask=True, loss_mask=True) - -# When adding user message: -self._update_input_ids(new_tokens, attention_mask=True, loss_mask=False) -``` - -**Loss Computation:** -```python -# File: verl/workers/roles/utils/losses.py -response_mask = data["response_mask"].to(bool) -loss = -masked_sum(log_prob, response_mask) / batch_num_tokens -``` - -**Insight:** VERL uses `response_mask` in loss, but this is actually the loss_mask (confusing naming). They handle the shift by rolling the mask. - -### 2.2 TRL Approach - -**File:** `/home/felipemello/forge/trl` (multiple files) - -TRL uses **`completion_mask`** to mark trainable tokens: - -```python -completion_mask = torch.ones_like(completion_ids) # All response tokens trainable -completion_mask = completion_mask * (~is_truncated) # Except truncated ones - -# Loss: -masked_loss = per_token_loss * completion_mask -loss = masked_loss.sum() / completion_mask.sum() -``` - -**Insight:** TRL's `completion_mask` marks response tokens, and they apply it directly in loss (assumes logprobs are already properly aligned). - -### 2.3 Prime-RL Approach - -**File:** `/home/felipemello/forge/prime-rl/src/prime_rl/trainer/rl/loss.py` - -Prime-RL explicitly passes **`loss_mask`** to the loss function: - -```python -def compute_loss( - trainer_logprobs: Float[Tensor, "seq"], - inference_logprobs: Float[Tensor, "seq"], - advantages: Float[Tensor, "seq"], - loss_mask: Bool[Tensor, "seq"], # <-- Explicit trainable positions mask - ... -): - # Apply mask - keep_mask = loss_mask & ~is_masked - loss = (-importance_ratio * advantages)[keep_mask].sum() -``` - -**Insight:** Prime-RL makes it explicit - `loss_mask` indicates which positions are trainable. - -### 2.4 Common Pattern Across Libraries - -All three libraries: -1. **Store a mask with episodes** (response_mask, completion_mask, or loss_mask) -2. **Use it in loss computation** via element-wise multiplication or indexing -3. **Treat mask as float (0.0/1.0)** for easy multiplication in loss - -**None of them derive the mask from targets!** The mask is a first-class citizen in the episode data. - ---- - -## Part 3: Current Implementation Issues - -### Issue 1: ❌ Logits-Tokens Misalignment in `compute_logprobs` - -**Location:** `apps/blackjack/main_v2.py` line 1020, `src/forge/actors/reference_model.py` line 190 - -**Current Code:** -```python -# In simple_grpo_loss: -logprobs = compute_logprobs(logits, all_tokens, align=False) - -# In ReferenceModel.forward: -logprobs = compute_logprobs(logits, input_ids, align=False) -``` - -**What `compute_logprobs` does (align=False):** -```python -# From src/forge/util/ops.py -logprobs = -F.cross_entropy( - scaled_logits_fp32.reshape(-1, vocab_size), - input_ids.reshape(-1).long(), - reduction="none", -) -``` - -This computes: `logprobs[i] = log P(input_ids[i] | logits[i])` - -**But `logits[i]` predicts `input_ids[i+1]`, NOT `input_ids[i]`!** - -**Correct Approach (Option 1 - Use targets):** -```python -# Create targets (already shifted) -targets = create_next_token_targets(all_tokens, response_mask, eos_token_id) - -# Compute logprobs for targets -logprobs = compute_logprobs(logits, targets, align=False) - -# Mask out IGNORE positions -valid_mask = (targets != CROSS_ENTROPY_IGNORE_IDX) -logprobs = logprobs * valid_mask.float() -``` - -**Correct Approach (Option 2 - Manual shift):** -```python -# Shift both logits and tokens -logits_shifted = logits[:, :-1, :] # [b, seq_len-1, vocab] -tokens_to_pred = all_tokens[:, 1:] # [b, seq_len-1] - -# Compute logprobs -logprobs = compute_logprobs(logits_shifted, tokens_to_pred, align=False) - -# Pad back to original length -logprobs = F.pad(logprobs, (1, 0), value=0.0) # [b, seq_len] -``` - -### Issue 2: ❌ Mask Naming and Semantics - -**Current Name:** `response_mask` - -**Current Definition (from your comment):** -```python -response_mask: torch.Tensor # CRITICAL: Mask for training - # Shape: (seq_len,) - # 1.0 = train on this token (LLM output) - # 0.0 = skip this token (prompt, tool result) -``` - -**The Problem:** The comment says "train on this token", but due to the shift, **we actually train on the PREVIOUS position!** - -**Better Naming:** -- `response_token_mask` - Marks which tokens ARE responses -- `training_mask` or `loss_mask` - Marks which POSITIONS contribute to loss - -**Relationship:** -```python -# Convert from response tokens to trainable positions -training_mask = torch.zeros_like(response_token_mask, dtype=torch.float) -for i in range(len(tokens) - 1): - if response_token_mask[i+1] and tokens[i] != eos_token_id: - training_mask[i] = 1.0 -``` - -**Or derive from targets:** -```python -training_mask = (targets != CROSS_ENTROPY_IGNORE_IDX).float() -``` - -### Issue 3: ❌ Targets Created But Never Used - -**Created:** Line 796-798 in `do_single_rollout` -**Used:** Nowhere! (not in collate, not in loss) - -**Current `collate` function** (lines 950-957): -```python -target = { - "all_tokens": all_tokens, - "response_mask": response_masks, # This is actually response_token_mask - "ref_logprobs": ref_logprobs, - "advantages": advantages, -} -# targets field is missing! -``` - -**Options:** -1. **DELETE** `create_next_token_targets` call (unused code) -2. **USE** targets to derive training_mask: `mask = (targets != IGNORE).float()` -3. **USE** targets in loss instead of all_tokens (cleaner, more explicit) - ---- - -## Part 4: Concrete Example - "Hello there" and "I am bob" - -See `debug/test_create_next_token_targets.py` for executable code. - -### Sequence: - -``` -Index Token ID Response_Mask Target Training_Mask ------ -------- ---- ------------- ----------- ------------- -0 Prompt 1 0 IGNORE 0.0 -1 prompt 2 0 IGNORE 1.0 ← predicts "Hello" (idx 2) -2 Hello 3 1 4 (there) 1.0 ← predicts "there" -3 there 4 1 100 (EOS) 1.0 ← predicts EOS -4 EOS 100 1 IGNORE 0.0 ← don't predict after EOS -5 Prompt 5 0 IGNORE 0.0 -6 prompt 6 0 IGNORE 1.0 ← predicts "I" (idx 7) -7 I 7 1 8 (am) 1.0 ← predicts "am" -8 am 8 1 9 (bob) 1.0 ← predicts "bob" -9 bob 9 1 100 (EOS) 1.0 ← predicts EOS -10 EOS 100 1 IGNORE 0.0 ← don't predict after EOS -``` - -### Key Observations: - -1. **Response tokens (response_mask=1):** 7 tokens (Hello, there, EOS, I, am, bob, EOS) -2. **Training positions (training_mask=1):** 5 tokens (indices 1, 2, 3, 6, 7, 8, 9) -3. **The shift:** Position 1 (token="prompt") trains to predict position 2 (token="Hello") -4. **EOS handling:** EOS is in response_mask, but its position has training_mask=0 - -### Loss Computation: - -```python -# Current (WRONG): -logprobs = compute_logprobs(logits, all_tokens, align=False) # Misaligned! -masked_loss = per_token_loss * response_mask # Wrong mask! -loss = masked_loss.sum() / response_mask.sum() - -# Correct (Option 1 - fix alignment + use training_mask): -logprobs = compute_logprobs(logits[:, :-1], all_tokens[:, 1:], align=False) -logprobs = F.pad(logprobs, (1, 0), value=0.0) -training_mask = derive_training_mask(response_mask, all_tokens, eos_token_id) -masked_loss = per_token_loss * training_mask -loss = masked_loss.sum() / training_mask.sum() - -# Correct (Option 2 - use targets): -targets = create_next_token_targets(all_tokens, response_mask, eos_token_id) -training_mask = (targets != CROSS_ENTROPY_IGNORE_IDX).float() -logprobs = compute_logprobs_from_targets(logits, targets) # Helper function -masked_loss = per_token_loss * training_mask -loss = masked_loss.sum() / training_mask.sum() -``` - ---- - -## Part 5: Recommended Fix (First Principles) - -### Step 1: Update Episode Data Structure - -**In `apps/blackjack/main_v2.py` lines 92-112:** - -```python -@dataclass -class Episode: - """Episode data for GRPO training.""" - - # Required fields - episode_id: str - all_token_ids: torch.Tensor # [seq_len] - Full conversation tokens - targets: torch.Tensor # [seq_len] - Next-token targets (with IGNORE) - reward: float - - # Optional fields - task_name: str = "blackjack" - policy_version: int = 0 - is_truncated: bool = False - advantage: float | None = None - logprobs: torch.Tensor | None = None # [seq_len] - ref_logprobs: torch.Tensor | None = None # [seq_len] - metadata: dict[str, Any] = field(default_factory=dict) - message_log: list[dict[str, str]] | None = None -``` - -**Key Change:** Remove `response_mask` from Episode, keep `targets`. The training mask is derived from targets. - -### Step 2: Update Collate Function - -**In `apps/blackjack/main_v2.py` lines 914-962:** - -```python -def collate( - batches: list[list[Episode]], - pad_id: int, -) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: - inputs = [] - targets_list = [] - - for batch in batches: - # Stack all tensors - all_tokens = [e.all_token_ids for e in batch] - all_tokens = torch.nn.utils.rnn.pad_sequence( - all_tokens, batch_first=True, padding_value=pad_id - ) - - # Stack targets - targets_batch = [e.targets for e in batch] - targets_batch = torch.nn.utils.rnn.pad_sequence( - targets_batch, batch_first=True, padding_value=CROSS_ENTROPY_IGNORE_IDX - ) - - # Derive training mask from targets - training_mask = (targets_batch != CROSS_ENTROPY_IGNORE_IDX).float() - - # Stack ref_logprobs - ref_logprobs = [e.ref_logprobs for e in batch] - ref_logprobs = torch.nn.utils.rnn.pad_sequence( - ref_logprobs, batch_first=True, padding_value=0.0 - ) - - # Advantages - advantages = torch.tensor([e.advantage for e in batch]).unsqueeze(-1) - - # Create input and target dicts - input = {"tokens": all_tokens} - target = { - "targets": targets_batch, # Now included! - "training_mask": training_mask, # Derived from targets - "ref_logprobs": ref_logprobs, - "advantages": advantages, - } - - inputs.append(input) - targets_list.append(target) - - return inputs, targets_list -``` - -### Step 3: Fix `simple_grpo_loss` - -**In `apps/blackjack/main_v2.py` lines 997-1039:** - -```python -def simple_grpo_loss( - logits: torch.Tensor, # [b, seq_len, vocab] - targets: torch.Tensor, # [b, seq_len] - Next-token targets - training_mask: torch.Tensor, # [b, seq_len] - 1.0 for trainable positions - ref_logprobs: torch.Tensor, # [b, seq_len] - advantages: torch.Tensor, # [b, 1] - beta: float = 0.1, -) -> torch.Tensor: - """ - Simple GRPO loss with proper next-token prediction alignment. - - Args: - logits: Model logits [b, seq_len, vocab_size] - targets: Next-token targets [b, seq_len] (with IGNORE for non-trainable) - training_mask: 1.0 for trainable positions, 0.0 otherwise - ref_logprobs: Reference logprobs [b, seq_len] - advantages: Advantages [b, 1] - beta: KL penalty coefficient - """ - # Compute policy logprobs using targets (properly aligned) - # Option 1: Use a helper that handles IGNORE - logprobs = compute_logprobs_from_targets(logits, targets) # [b, seq_len] - - # Option 2: Manual computation - # Shift logits to align with targets - logits_shifted = logits[:, :-1, :] # [b, seq_len-1, vocab] - targets_shifted = targets[:, 1:] # [b, seq_len-1] - - # Compute logprobs - logprobs_shifted = compute_logprobs(logits_shifted, targets_shifted, align=False) - logprobs = F.pad(logprobs_shifted, (1, 0), value=0.0) # [b, seq_len] - - # Mask out IGNORE positions - logprobs = logprobs * training_mask - ref_logprobs = ref_logprobs * training_mask - - # KL divergence (only on trainable positions) - kl = torch.exp(ref_logprobs - logprobs) - (ref_logprobs - logprobs) - 1 - - # Policy loss - per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages - per_token_loss = -(per_token_policy_loss - beta * kl) - - # Masked average - loss = ( - (per_token_loss * training_mask).sum(dim=1) / (training_mask.sum(dim=1).clamp(min=1.0)) - ).mean() - - return loss -``` - -### Step 4: Fix Reference Model - -**In `src/forge/actors/reference_model.py` lines 127-194:** - -```python -@endpoint -async def forward( - self, input_ids: torch.Tensor, return_logprobs: bool, targets: torch.Tensor = None -) -> torch.Tensor: - """ - Args: - input_ids: Input token ids [batch, seq_len] - return_logprobs: Whether to return logprobs - targets: Next-token targets [batch, seq_len] (optional, for proper alignment) - """ - # ... forward pass code ... - - logits = self.model(input_ids) - - if not return_logprobs: - return logits - else: - if targets is not None: - # Use targets for proper alignment - logprobs = compute_logprobs_from_targets(logits, targets) - else: - # Fallback: manual shift - logits_shifted = logits[:, :-1, :] - tokens_shifted = input_ids[:, 1:] - logprobs = compute_logprobs(logits_shifted, tokens_shifted, align=False) - logprobs = F.pad(logprobs, (1, 0), value=0.0) - - return logprobs -``` - -### Step 5: Create Helper Function - -**In `src/forge/util/ops.py`:** - -```python -def compute_logprobs_from_targets( - logits: torch.Tensor, # [b, seq_len, vocab] - targets: torch.Tensor, # [b, seq_len] with IGNORE for non-trainable - ignore_index: int = -100, -) -> torch.Tensor: - """ - Compute log probabilities for next-token targets. - - Properly handles the shift: logits[i] predicts targets[i+1]. - Positions with targets[i] == ignore_index get logprob = 0.0. - - Args: - logits: Model logits [b, seq_len, vocab_size] - targets: Next-token targets [b, seq_len] - ignore_index: Value in targets to ignore - - Returns: - logprobs: Log probabilities [b, seq_len] - """ - batch_size, seq_len, vocab_size = logits.shape - - # Shift: logits[i] predicts targets[i+1] - # But targets are already shifted! targets[i] = all_tokens[i+1] - # So we compute: logits[i] should match targets[i] - - # Actually, there's confusion here. Let me reclarify: - # If targets[i] = all_tokens[i+1], then logits[i-1] predicts targets[i] - # So we need: logits[:-1] vs targets[1:]? No... - - # CORRECTION: targets are created such that targets[i] is what position i should predict. - # create_next_token_targets does: targets[i] = all_tokens[i+1] - # This means: at position i, we should predict targets[i] - # And logits[i] gives the distribution for position i's prediction - # So they're ALREADY aligned! - - # Cast to fp32 for numerical stability - logits_fp32 = logits.float() - - # Compute cross-entropy (negative log prob) - logprobs = -F.cross_entropy( - logits_fp32.reshape(-1, vocab_size), - targets.reshape(-1).long(), - reduction="none", - ignore_index=ignore_index, - ) - - logprobs = logprobs.reshape(batch_size, seq_len) - - # Set logprobs to 0 for ignored positions - logprobs = logprobs * (targets != ignore_index).float() - - return logprobs -``` - ---- - -## Part 6: Summary of Findings - -| Issue | Severity | Current State | Recommended Fix | -|-------|----------|---------------|-----------------| -| Logits-tokens misalignment | **CRITICAL** | ❌ Wrong alignment in compute_logprobs | Use targets or shift manually | -| Mask naming confusion | High | ❌ "response_mask" is ambiguous | Rename or use targets-derived mask | -| Targets unused | Medium | ❌ Created but never used | Use targets in loss + collate | -| Missing training_mask | High | ❌ Using response_mask incorrectly | Derive from targets: `(targets != IGNORE).float()` | - ---- - -## Part 7: Testing Plan - -1. **Run updated test script:** - ```bash - python debug/test_create_next_token_targets.py - ``` - -2. **Verify mask alignment:** - - Check that training_mask[i] = 1.0 when targets[i] != IGNORE - - Check that positions at EOS have training_mask = 0.0 - - Check that positions before EOS can have training_mask = 1.0 (to predict EOS) - -3. **Integration test:** - - Run a short training job - - Print logprobs and verify they're reasonable (not NaN, not too negative) - - Check that loss decreases over iterations - -4. **Gradient flow test:** - - Add hooks to model to track which positions get gradients - - Verify only training_mask=1.0 positions get gradients - ---- - -## Conclusion - -The root cause is **conceptual confusion between "response tokens" (what was generated) and "trainable positions" (where to compute loss)**. Due to next-token prediction's inherent shift, these are offset by 1. - -**The fix:** Use `targets` (which already encodes the shift) throughout the pipeline, and derive `training_mask` from it. This makes the code clearer and more correct. diff --git a/debug/debug.md b/debug/debug.md deleted file mode 100644 index 2b9052870..000000000 --- a/debug/debug.md +++ /dev/null @@ -1,174 +0,0 @@ -# Blackjack main_v2.py Refactoring Progress - -## Context -Refactoring `/home/felipemello/forge/apps/blackjack/main_v2.py` to be cleaner, simpler, and more maintainable. Goal is to align with `apps/grpo/main.py` patterns while removing over-engineering and debug code. - -## File Organization (Current State) - -### Files Created/Modified: -1. **`/home/felipemello/forge/apps/blackjack/token_accumulator.py`** ✅ - - Moved TokenAccumulator class and related enums (ValidationMode, TruncationReason, EpisodeData) - - Has all necessary imports - - Working correctly - -2. **`/home/felipemello/forge/apps/blackjack/blackjack_env.py`** ✅ - - Moved BlackjackEnv class and EnvStepResult dataclass - - Has all necessary imports - - Fixed typo: `is_invalid` parameter (was `in_invalid`) - this was causing hangs! - -3. **`/home/felipemello/forge/apps/blackjack/main_v2.py`** ✅ - - Imports from token_accumulator and blackjack_env - - Significantly cleaned up (1987 lines → 1183 lines, ~800 lines removed) - - Working correctly - -## Completed Tasks - -### ✅ Task 1: Fix All Imports -**Status:** COMPLETE -**Changes:** -- Added imports to `token_accumulator.py`: threading, dataclass, Enum, Optional, torch -- Added imports to `blackjack_env.py`: re, dataclass, field, Any, OpenSpielAction, OpenSpielEnv, record_metric, Reduce -- Added local imports to `main_v2.py`: - ```python - from apps.blackjack.blackjack_env import BlackjackEnv, EnvStepResult - from apps.blackjack.token_accumulator import ( - TokenAccumulator, - ValidationMode, - TruncationReason, - EpisodeData, - ) - ``` -- Updated usage comment from `main_v2` to `main` - -**Key Issue Found & Fixed:** -- `blackjack_env.py` had typo `in_invalid` instead of `is_invalid` in `_compute_reward()` parameter - this was causing the import to hang! - -### ✅ Task 2: Simplify Server Management in `async def main()` -**Status:** COMPLETE -**Changes:** -- Created helper functions (lines 74-161): - - `kill_process_on_port()` - simplified (removed debug prints) - - `_wait_for_server_health()` - extracted health check logic - - `start_servers()` - consolidated server startup with health checks - - `shutdown_servers()` - consolidated graceful shutdown - -- **Server startup** (lines 801-806): - ```python - # Before: 67 lines of verbose code - # After: 6 clean lines - server_processes, server_ports = start_servers( - num_servers=cfg.get("rollout_threads", 1), - base_port=cfg.blackjack_env.server_port, - game_name=cfg.blackjack_env.game_name, - ) - ``` - -- **Server shutdown** (line 1191): - ```python - # Before: 10 lines - # After: 1 line - shutdown_servers(server_processes) - ``` - -**Impact:** Removed ~70 lines from main(), much cleaner - -### ✅ Task 3: Clean up `async def main()` debugging/checks -**Status:** COMPLETE -**Changes:** -- Created `print_episode_debug()` function (lines 164-193) - - Reuses TokenAccumulator's `show_messages()` method - - Creates temp TokenAccumulator, replaces internals with Episode data - - Provides colorized token stream visualization - -- **Removed redundant server testing** (deleted lines 915-935, ~22 lines) - - Servers already tested in `start_servers()`, this was redundant - -- **Simplified debug printing** (31 lines → 3 lines): - ```python - # Print episode details every 10 rollouts - if episodes and rollout_count % 10 == 0: - print_episode_debug(episodes[0], tokenizer, rollout_count) - ``` - -**Impact:** Removed ~50 lines, cleaner console output (only every 10 rollouts) - -## Current State Summary -- **File size:** 1183 lines (down from 1987, ~40% reduction) -- **All imports working:** ✅ -- **Server management:** ✅ Simplified and extracted -- **Debug output:** ✅ Clean and using TokenAccumulator visualization -- **Tests:** ✅ All changes tested and working - -## Next Task: Task 4 - Remove EnvironmentActor - -### Current Problem: -`EnvironmentActor` exists only to provide tokenizer access (lines ~819-828 in main_v2.py): -```python -# First, initialize env_actor to get pad_id -env_actor = await EnvironmentActor.options(**cfg.actors.blackjack_env).as_actor(**env_actor_config) -pad_id = await env_actor.pad_token.call_one() - -# Later in continuous_rollouts: -pad_id = await env_actor.pad_token.call_one() -tokenizer = await env_actor.get_tokenizer.call_one() -``` - -This is unnecessary overhead - we should just get the tokenizer directly and pass it where needed. - -### Proposed Solution: -1. **Get tokenizer directly in main():** - ```python - tokenizer = get_tokenizer(cfg.blackjack_env.model) - pad_id = tokenizer.pad_token_id or tokenizer.eos_token_id - ``` - -2. **Pass tokenizer to continuous_rollouts:** - ```python - async def continuous_rollouts(thread_id: int, tokenizer): - # Use tokenizer directly, no actor calls needed - ``` - -3. **Remove EnvironmentActor class definition** (if it exists in main_v2.py) - -4. **Remove threading locks from TokenAccumulator** (since tokenizer is no longer shared via actor): - - Remove `self._lock = threading.Lock()` from TokenAccumulator.__init__ - - Remove `with self._lock:` blocks from tokenizer calls in TokenAccumulator - - This simplifies TokenAccumulator significantly - -### Files to Modify: -- `/home/felipemello/forge/apps/blackjack/main_v2.py` -- `/home/felipemello/forge/apps/blackjack/token_accumulator.py` (remove locks) - -### Expected Impact: -- Remove EnvironmentActor abstraction (~20 lines) -- Simplify continuous_rollouts initialization -- Remove threading locks from TokenAccumulator (~5-10 places) -- Cleaner, more direct code - -## Important Notes for Future Context - -### Critical Bug Fixed: -- **Hang issue:** Was caused by typo `in_invalid` vs `is_invalid` in `blackjack_env.py:164` -- When importing BlackjackEnv caused hang, check for parameter name mismatches - -### Testing Pattern: -- After each change, run: `python -m apps.blackjack.main_v2 --config apps/blackjack/qwen3_1_7b.yaml` -- Verify no hangs during initialization -- Check that colorized debug output appears every 10 rollouts - -### Key Design Decisions: -- **Reuse TokenAccumulator visualization:** Don't duplicate colorization code, create temp instance and replace internals -- **Print every N rollouts:** Use `rollout_count % 10 == 0` to avoid console spam -- **Extract server logic:** Keep main() focused on training loop, not infrastructure - -### File Line Counts: -- Start: 1987 lines -- After Task 1: ~1987 lines (just imports) -- After Task 2: ~1200 lines -- After Task 3: ~1183 lines -- Target: ~900-1000 lines after Task 4 - -### Remaining Tasks (Priority Order): -1. **Task 4:** Remove EnvironmentActor, pass tokenizer directly ⬅️ NEXT -2. Remove threading locks from TokenAccumulator (part of Task 4) -3. Any other cleanup identified during Task 4 diff --git a/debug/decode_full_dump.py b/debug/decode_full_dump.py deleted file mode 100644 index 56177a9e8..000000000 --- a/debug/decode_full_dump.py +++ /dev/null @@ -1,128 +0,0 @@ -#!/usr/bin/env python3 -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Decode full messages from dump to understand why think tags are missing. -""" - -import sys - -sys.path.insert(0, "/home/felipemello/forge") - -import torch -from vllm.transformers_utils.tokenizer import get_tokenizer - - -def decode_full_episode(dump_path, seq_idx=0): - """Decode a full episode from dump.""" - print(f"\nLoading: {dump_path}") - dump = torch.load(dump_path, map_location="cpu") - tokenizer = get_tokenizer("Qwen/Qwen3-1.7B") # FIX: Use correct tokenizer! - - input_ids = dump["input_ids"][seq_idx] - loss_mask = dump["loss_mask"][seq_idx] - targets = dump["targets"][seq_idx] - - print(f"\n{'='*80}") - print(f"SEQUENCE {seq_idx}") - print(f"{'='*80}") - - # Decode full sequence - full_text = tokenizer.decode(input_ids.tolist()) - print("\nFULL DECODED TEXT:") - print("-" * 80) - print(full_text) - print("-" * 80) - - # Find all assistant positions - assistant_token = 77091 - assistant_positions = (input_ids == assistant_token).nonzero(as_tuple=True)[0] - - print(f"\nFound {len(assistant_positions)} assistant message(s)") - - # Decode each assistant message - for idx, pos in enumerate(assistant_positions): - pos = pos.item() - print(f"\n{'='*80}") - print(f"ASSISTANT MESSAGE {idx} (starts at position {pos})") - print(f"{'='*80}") - - # Find the extent of this message (until next special token or end) - # Look for next <|im_start|> (151644) or <|im_end|> (151645) or end - start = pos - end = len(input_ids) - - for i in range(pos + 1, len(input_ids)): - if input_ids[i].item() in [151644, 151645]: - # Found next message boundary, but include the <|im_end|> if it's there - if input_ids[i].item() == 151645: - end = i + 1 - else: - end = i - break - - # Decode this message - msg_tokens = input_ids[start:end].tolist() - msg_text = tokenizer.decode(msg_tokens) - - print(f"\nDecoded message ({end - start} tokens):") - print("-" * 80) - print(msg_text) - print("-" * 80) - - # Show token breakdown - print(f"\nToken breakdown:") - for i in range(start, min(end, start + 30)): # Show first 30 tokens - tok_id = input_ids[i].item() - tok_str = tokenizer.decode([tok_id]) - mask = loss_mask[i].item() - tgt = targets[i].item() - - # Special markers - marker = "" - if tok_id == 151667: - marker = " ← " - elif tok_id == 151668: - marker = " ← " - elif tok_id == 151645: - marker = " ← <|im_end|>" - elif tok_id == 198: - marker = " ← \\n" - elif tok_id == 271: - marker = " ← \\n\\n" - - trainable = "✓" if mask == 1.0 else "·" - print( - f" [{i:3d}] {trainable} {tok_id:6d} {tok_str!r:20s} (tgt={tgt:6d}){marker}" - ) - - if end - start > 30: - print(f" ... ({end - start - 30} more tokens)") - - -def main(): - # Analyze both dumps, focusing on sequences that failed - dumps = [ - ("/tmp/grpo_loss_debug_20251119_231139.pt", 0), # First dump, seq 0 - ( - "/tmp/grpo_loss_debug_20251119_231131.pt", - 1, - ), # Second dump, seq 1 (61M explosion) - ] - - for dump_path, seq_idx in dumps: - try: - decode_full_episode(dump_path, seq_idx) - except Exception as e: - print(f"\nError: {e}") - import traceback - - traceback.print_exc() - - -if __name__ == "__main__": - main() diff --git a/debug/decode_full_dump_v2.py b/debug/decode_full_dump_v2.py deleted file mode 100644 index 1c65032cd..000000000 --- a/debug/decode_full_dump_v2.py +++ /dev/null @@ -1,251 +0,0 @@ -#!/usr/bin/env python3 -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Comprehensive dump analysis - show detailed table for every token. -""" - -import sys - -sys.path.insert(0, "/home/felipemello/forge") - -import torch -from vllm.transformers_utils.tokenizer import get_tokenizer - - -def analyze_dump_detailed(dump_path, seq_idx=0, max_tokens=None): - """Analyze dump with detailed per-token breakdown.""" - print(f"\nLoading: {dump_path}") - dump = torch.load(dump_path, map_location="cpu") - tokenizer = get_tokenizer("Qwen/Qwen3-1.7B") - - # Extract tensors for this sequence - input_ids = dump["input_ids"][seq_idx] - targets = dump["targets"][seq_idx] - loss_mask = dump["loss_mask"][seq_idx] - logprobs = dump.get("logprobs", None) - ref_logprobs = dump.get("ref_logprobs", None) - advantages = dump.get("advantages", None) - kl = dump.get("kl", None) - - # Get per-token data - if logprobs is not None: - logprobs = logprobs[seq_idx] - if ref_logprobs is not None: - ref_logprobs = ref_logprobs[seq_idx] - if advantages is not None: - advantages = advantages[seq_idx] - if kl is not None: - kl = kl[seq_idx] - - seq_len = len(input_ids) - if max_tokens: - seq_len = min(seq_len, max_tokens) - - print(f"\n{'='*120}") - print(f"SEQUENCE {seq_idx} - DETAILED TOKEN ANALYSIS") - print(f"{'='*120}") - print(f"Total tokens: {len(input_ids)}") - print(f"Trainable tokens: {loss_mask.sum().item():.0f}") - print(f"{'='*120}") - - # Decode full sequence for context - full_text = tokenizer.decode(input_ids.tolist()) - print(f"\n--- FULL DECODED TEXT ---") - print(full_text[:1000]) - if len(full_text) > 1000: - print(f"\n... (truncated, {len(full_text)} total chars)") - print() - - # Build header - header_parts = [ - ("Pos", 5), - ("TokenID", 8), - ("Decoded", 25), - ("Target", 8), - ("Mask", 5), - ] - - if logprobs is not None: - header_parts.append(("Policy_LP", 10)) - if ref_logprobs is not None: - header_parts.append(("Ref_LP", 10)) - if logprobs is not None and ref_logprobs is not None: - header_parts.append(("LP_Diff", 10)) - if kl is not None: - header_parts.append(("KL", 10)) - if advantages is not None: - header_parts.append(("Adv", 8)) - - # Print header - header_line = " | ".join(name.ljust(width) for name, width in header_parts) - print("=" * len(header_line)) - print(header_line) - print("=" * len(header_line)) - - # Print each token - for i in range(seq_len): - tok_id = input_ids[i].item() - tgt = targets[i].item() - mask = loss_mask[i].item() - - # Decode token - tok_str = tokenizer.decode([tok_id]) - - # Truncate and escape special chars for display - tok_str_display = repr(tok_str)[1:-1] # Remove outer quotes - if len(tok_str_display) > 23: - tok_str_display = tok_str_display[:20] + "..." - - # Special token markers - marker = "" - if tok_id == 151667: - marker = " " - elif tok_id == 151668: - marker = " " - elif tok_id == 151645: - marker = " <|im_end|>" - elif tok_id == 151644: - marker = " <|im_start|>" - elif tok_id == 77091: - marker = " [assistant]" - elif tok_id == 151643: - marker = " <|endoftext|>" - - # Add marker to display - if marker: - tok_str_display = f"{tok_str_display}{marker}" - if len(tok_str_display) > 23: - tok_str_display = tok_str_display[:23] - - # Build row - row_parts = [ - f"{i}".ljust(5), - f"{tok_id}".ljust(8), - tok_str_display.ljust(25), - f"{tgt}".ljust(8) if tgt != -100 else "IGNORE".ljust(8), - f"{mask:.1f}".ljust(5), - ] - - if logprobs is not None: - row_parts.append(f"{logprobs[i].item():>9.4f}".ljust(10)) - if ref_logprobs is not None: - row_parts.append(f"{ref_logprobs[i].item():>9.4f}".ljust(10)) - if logprobs is not None and ref_logprobs is not None: - diff = ref_logprobs[i].item() - logprobs[i].item() - row_parts.append(f"{diff:>9.4f}".ljust(10)) - if kl is not None: - kl_val = kl[i].item() - # Highlight huge KL values - if abs(kl_val) > 100: - row_parts.append(f"{kl_val:>9.2e} ⚠".ljust(10)) - else: - row_parts.append(f"{kl_val:>9.4f}".ljust(10)) - if advantages is not None: - # Advantages are per-sequence, so they're constant - if i == 0: - row_parts.append(f"{advantages.item():>7.3f}".ljust(8)) - else: - row_parts.append(" " * 8) - - # Color code trainable tokens - prefix = "✓" if mask == 1.0 else "·" - print(f"{prefix} {' | '.join(row_parts)}") - - # Add section breaks at message boundaries - if tok_id in [151645, 151644]: # <|im_end|> or <|im_start|> - print("-" * len(header_line)) - - print("=" * len(header_line)) - - # Summary statistics - print(f"\n--- SUMMARY STATISTICS ---") - print(f"Total tokens: {len(input_ids)}") - print(f"Trainable tokens: {loss_mask.sum().item():.0f}") - - if logprobs is not None: - trainable_mask = loss_mask.bool() - if trainable_mask.any(): - print(f"\nPolicy logprobs (trainable only):") - print(f" Mean: {logprobs[trainable_mask].mean().item():.4f}") - print(f" Min: {logprobs[trainable_mask].min().item():.4f}") - print(f" Max: {logprobs[trainable_mask].max().item():.4f}") - print(f" Std: {logprobs[trainable_mask].std().item():.4f}") - - if ref_logprobs is not None: - if trainable_mask.any(): - print(f"\nRef logprobs (trainable only):") - print(f" Mean: {ref_logprobs[trainable_mask].mean().item():.4f}") - print(f" Min: {ref_logprobs[trainable_mask].min().item():.4f}") - print(f" Max: {ref_logprobs[trainable_mask].max().item():.4f}") - print(f" Std: {ref_logprobs[trainable_mask].std().item():.4f}") - - if logprobs is not None and ref_logprobs is not None: - if trainable_mask.any(): - diff = ref_logprobs[trainable_mask] - logprobs[trainable_mask] - print(f"\nLogprob difference (ref - policy, trainable only):") - print(f" Mean: {diff.mean().item():.4f}") - print(f" Min: {diff.min().item():.4f}") - print(f" Max: {diff.max().item():.4f}") - print(f" Std: {diff.std().item():.4f}") - - if kl is not None: - if trainable_mask.any(): - print(f"\nKL divergence (trainable only):") - kl_trainable = kl[trainable_mask] - print(f" Mean: {kl_trainable.mean().item():.4f}") - print(f" Min: {kl_trainable.min().item():.4f}") - print(f" Max: {kl_trainable.max().item():.4f}") - print(f" Std: {kl_trainable.std().item():.4f}") - - # Check for huge values - huge_kl = (kl_trainable.abs() > 100).sum().item() - if huge_kl > 0: - print(f" ⚠️ {huge_kl} tokens with |KL| > 100!") - - if advantages is not None: - print(f"\nAdvantage: {advantages.item():.6f}") - - # Check for anomalies - print(f"\n--- ANOMALY DETECTION ---") - if logprobs is not None and trainable_mask.any(): - very_negative_lp = (logprobs[trainable_mask] < -20).sum().item() - if very_negative_lp > 0: - print(f"⚠️ {very_negative_lp} trainable tokens with logprob < -20") - - if ref_logprobs is not None and trainable_mask.any(): - very_negative_ref = (ref_logprobs[trainable_mask] < -20).sum().item() - if very_negative_ref > 0: - print(f"⚠️ {very_negative_ref} trainable tokens with ref_logprob < -20") - - # Check targets - trainable_targets = targets[trainable_mask] - if trainable_mask.any(): - if (trainable_targets == -100).any(): - print(f"⚠️ Some trainable positions have target=-100 (IGNORE)!") - - -def main(): - # Analyze both dumps - dumps = [ - ("/tmp/grpo_loss_debug_20251119_231139.pt", 0), - ("/tmp/grpo_loss_debug_20251119_231131.pt", 1), - ] - - for dump_path, seq_idx in dumps: - try: - analyze_dump_detailed(dump_path, seq_idx, max_tokens=None) - print("\n" * 3) - except Exception as e: - print(f"\nError analyzing {dump_path} seq {seq_idx}: {e}") - import traceback - - traceback.print_exc() - - -if __name__ == "__main__": - main() diff --git a/debug/demo_show_messages.py b/debug/demo_show_messages.py deleted file mode 100644 index 75b3e2c14..000000000 --- a/debug/demo_show_messages.py +++ /dev/null @@ -1,141 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Demo script to showcase show_messages() with multi-turn conversations. - -This demonstrates the colorized token-level view that shows: -- Message structure (role, token range, trainability) -- Full message content -- Trainable vs non-trainable tokens highlighted -""" - -import sys -from pathlib import Path - -sys.path.insert(0, str(Path(__file__).parent.parent)) - -from debug.token_accumulator_fn_v6 import TokenAccumulator -from vllm.transformers_utils.tokenizer import get_tokenizer - - -def mock_vllm_response(tokenizer, text, include_eos=True): - """Simulate vLLM generation.""" - tokens = tokenizer.encode(text, add_special_tokens=False) - if include_eos: - tokens.append(tokenizer.eos_token_id) - return tokens - - -def demo_multi_turn_conversation(): - """Demo: Multi-turn conversation with show_messages()""" - print("=" * 80) - print("MULTI-TURN CONVERSATION DEMO") - print("=" * 80) - - tokenizer = get_tokenizer("Qwen/Qwen3-1.7B") - - acc = TokenAccumulator( - tokenizer=tokenizer, - messages=[{"role": "system", "content": "You are a helpful AI assistant."}], - max_len=2048, - eos_id=tokenizer.eos_token_id, - thinking=False, # Use thinking=False for this demo - ) - - print(f"\nInitial state:") - print(f" Tokens: {len(acc._tokens)}") - print(f" Budget: {acc.budget}") - print(f" Gen prompt length: {acc.gen_prompt_len}") - print(f" Suffix: {acc.suffix} (decoded: {tokenizer.decode(acc.suffix)!r})") - - # Turn 1 - print("\n" + "-" * 80) - print("TURN 1: User asks about Python") - print("-" * 80) - - acc.add_user("What is Python?") - response_tokens = mock_vllm_response( - tokenizer, - "Python is a high-level programming language known for its simplicity.", - ) - acc.add_assistant( - "Python is a high-level programming language known for its simplicity.", - response_tokens, - ) - - # Turn 2 - print("\n" + "-" * 80) - print("TURN 2: User asks a follow-up") - print("-" * 80) - - acc.add_user("Can you give me a simple example?") - response_tokens = mock_vllm_response( - tokenizer, "Sure! Here's a simple example:\n\nprint('Hello, World!')" - ) - acc.add_assistant( - "Sure! Here's a simple example:\n\nprint('Hello, World!')", response_tokens - ) - - # Turn 3 - print("\n" + "-" * 80) - print("TURN 3: User says thanks") - print("-" * 80) - - acc.add_user("Thanks!") - response_tokens = mock_vllm_response( - tokenizer, "You're welcome! Feel free to ask if you have more questions." - ) - acc.add_assistant( - "You're welcome! Feel free to ask if you have more questions.", response_tokens - ) - - # Show the complete conversation with colorized tokens - print("\n\n") - print("#" * 80) - print("# SHOW_MESSAGES() OUTPUT") - print("#" * 80) - acc.show_messages() - - # Show final stats - print("\n" + "=" * 80) - print("FINAL STATISTICS") - print("=" * 80) - print(f"Total tokens: {len(acc._tokens)}/{acc.max_len}") - print(f"Trainable tokens: {sum(acc._mask)}") - print(f"Non-trainable tokens: {len(acc._mask) - sum(acc._mask)}") - print(f"Trainable percentage: {100 * sum(acc._mask) / len(acc._mask):.1f}%") - print(f"Truncated: {acc.truncated}") - - -def demo_simple_conversation(): - """Demo: Simple single-turn conversation""" - print("\n\n") - print("=" * 80) - print("SIMPLE SINGLE-TURN DEMO") - print("=" * 80) - - tokenizer = get_tokenizer("Qwen/Qwen3-1.7B") - - acc = TokenAccumulator( - tokenizer=tokenizer, - messages=[{"role": "system", "content": "You are helpful."}], - max_len=2048, - eos_id=tokenizer.eos_token_id, - thinking=True, # Use thinking=True for this demo - ) - - acc.add_user("What is 2+2?") - response_tokens = mock_vllm_response(tokenizer, "The answer is 4.") - acc.add_assistant("The answer is 4.", response_tokens) - - print("\n") - acc.show_messages() - - -if __name__ == "__main__": - demo_multi_turn_conversation() - demo_simple_conversation() diff --git a/debug/diagnose_loss_mask_v6.py b/debug/diagnose_loss_mask_v6.py deleted file mode 100644 index 5937bfb84..000000000 --- a/debug/diagnose_loss_mask_v6.py +++ /dev/null @@ -1,243 +0,0 @@ -#!/usr/bin/env python3 -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -V6 Loss Mask Diagnostic - Directly test loss_mask creation with suffix tokens. - -This script creates a simple episode with V6 TokenAccumulator and verifies: -1. Suffix tokens are properly handled in response_mask -2. loss_mask correctly shifts response_mask via torch.roll -3. Suffix positions have loss_mask=0.0 and targets=IGNORE -4. No suffix tokens leak into training - -This addresses the KL explosion hypothesis from v6_loss_debugging_summary.md. -""" - -import sys - -sys.path.insert(0, "/home/felipemello/forge") - -import torch -from debug.token_accumulator_fn_v6 import TokenAccumulator, ValidationMode -from forge.data.common import CROSS_ENTROPY_IGNORE_IDX -from forge.util.ops import create_shifted_targets -from vllm.transformers_utils.tokenizer import get_tokenizer - - -def test_loss_mask_with_suffix(): - """Test loss_mask creation with V6 suffix tokens.""" - print("\n" + "=" * 80) - print("V6 LOSS MASK DIAGNOSTIC - Suffix Token Handling") - print("=" * 80) - - # Setup - tokenizer = get_tokenizer("Qwen/Qwen2.5-0.5B-Instruct") - - accumulator = TokenAccumulator( - tokenizer=tokenizer, - messages=[{"role": "system", "content": "Help"}], - max_len=512, - eos_id=tokenizer.eos_token_id, - thinking=False, - validation=ValidationMode.OFF, - ) - - print(f"\n✓ Setup complete") - print(f" Suffix tokens: {accumulator.suffix}") - print(f" Suffix decoded: {tokenizer.decode(accumulator.suffix)!r}") - - # Add single turn - accumulator.add_user("Hi") - response_text = "Hello!" - response_tokens = tokenizer.encode(response_text, add_special_tokens=False) - response_tokens.append(tokenizer.eos_token_id) - - accumulator.add_assistant(response_text, response_tokens) - - # Get episode data - episode_data = accumulator.get_data() - - print(f"\n✓ Episode created") - print(f" Total tokens: {len(episode_data.token_ids)}") - print( - f" Trainable (response_mask=True): {episode_data.response_mask.sum().item()}" - ) - - # Create loss_mask using torch.roll (same as main_v2.py line 1050) - loss_mask_tensor = torch.roll(episode_data.response_mask, shifts=-1, dims=0).float() - loss_mask_tensor[-1] = 0.0 - - print(f"\n✓ loss_mask created via torch.roll") - print(f" Trainable (loss_mask=1.0): {loss_mask_tensor.sum().item()}") - - # Create targets - targets = create_shifted_targets( - episode_data.token_ids.unsqueeze(0), loss_mask_tensor.unsqueeze(0) - ).squeeze(0) - - # Find suffix positions (trainable followed by non-trainable) - suffix_positions = [] - for i in range(len(episode_data.token_ids) - 1): - # EOS token: response_mask[i] = True (trainable) - # Suffix token: response_mask[i+1] = False (not trainable) - if episode_data.response_mask[i] and not episode_data.response_mask[i + 1]: - suffix_positions.append(i + 1) - - print(f"\n✓ Suffix positions detected: {suffix_positions}") - - # Detailed token-by-token analysis - print("\n" + "=" * 80) - print("TOKEN-BY-TOKEN ANALYSIS") - print("=" * 80) - print( - f"{'Idx':>4} {'Token':>10} {'Decoded':>15} {'Resp':>5} {'Loss':>5} {'Target':>10} {'Status':>20}" - ) - print("-" * 80) - - for i in range(len(episode_data.token_ids)): - tok_id = episode_data.token_ids[i].item() - tok_str = tokenizer.decode([tok_id])[:12] # Truncate for display - resp_mask = episode_data.response_mask[i].item() - loss_mask = loss_mask_tensor[i].item() - target = targets[i].item() - - resp_str = "✓" if resp_mask else "·" - loss_str = f"{loss_mask:.1f}" - target_str = "IGNORE" if target == CROSS_ENTROPY_IGNORE_IDX else f"{target:6d}" - - # Determine status - if i in suffix_positions: - status = "SUFFIX" - if loss_mask != 0.0: - status += " 🔥 LEAK!" - if target != CROSS_ENTROPY_IGNORE_IDX: - status += " 🔥 TARGET!" - elif resp_mask and loss_mask == 1.0: - status = "trainable ✓" - elif not resp_mask and loss_mask == 0.0: - status = "not trainable" - else: - status = "🔥 MISMATCH!" - - # Highlight EOS tokens - if tok_id == tokenizer.eos_token_id: - tok_str = f" ({tok_id})" - - print( - f"{i:4d} {tok_id:10d} {tok_str:>15s} {resp_str:>5s} {loss_str:>5s} {target_str:>10s} {status:>20s}" - ) - - # Verification checks - print("\n" + "=" * 80) - print("VERIFICATION CHECKS") - print("=" * 80) - - all_pass = True - - # Check 1: Suffix positions should have response_mask=False - print("\n[Check 1] Suffix tokens have response_mask=False") - for pos in suffix_positions: - resp = episode_data.response_mask[pos].item() - if resp: - print(f" 🔥 FAIL: Position {pos} has response_mask=True (expected False)") - all_pass = False - else: - print(f" ✓ Position {pos}: response_mask=False") - - # Check 2: Suffix positions should have loss_mask=0.0 - print("\n[Check 2] Suffix tokens have loss_mask=0.0") - for pos in suffix_positions: - loss = loss_mask_tensor[pos].item() - if loss != 0.0: - print(f" 🔥 FAIL: Position {pos} has loss_mask={loss} (expected 0.0)") - all_pass = False - else: - print(f" ✓ Position {pos}: loss_mask=0.0") - - # Check 3: Suffix positions should have targets=IGNORE - print("\n[Check 3] Suffix tokens have targets=IGNORE") - for pos in suffix_positions: - tgt = targets[pos].item() - if tgt != CROSS_ENTROPY_IGNORE_IDX: - print( - f" 🔥 FAIL: Position {pos} has target={tgt} (expected {CROSS_ENTROPY_IGNORE_IDX})" - ) - all_pass = False - else: - print(f" ✓ Position {pos}: target=IGNORE") - - # Check 4: EOS tokens should be trainable - print("\n[Check 4] EOS tokens are trainable") - eos_positions = [ - i - for i, tok in enumerate(episode_data.token_ids) - if tok == tokenizer.eos_token_id - ] - for pos in eos_positions: - resp = episode_data.response_mask[pos].item() - # EOS should be trainable only if it's an assistant EOS (not system/user EOS) - # For this test, we only have one assistant response, so check if it's trainable - if pos in suffix_positions: - # This EOS is followed by suffix, so it should be trainable - if not resp: - print( - f" 🔥 FAIL: Assistant EOS at {pos} has response_mask=False (expected True)" - ) - all_pass = False - else: - print(f" ✓ Assistant EOS at {pos}: response_mask=True") - else: - # System/user EOS - check if it's correctly not trainable - if resp: - print(f" Note: EOS at {pos} is trainable (possibly system/user)") - - # Check 5: loss_mask[i] should equal response_mask[i+1] for all i < len-1 - print("\n[Check 5] loss_mask[i] = response_mask[i+1] (torch.roll correctness)") - mismatches = [] - for i in range(len(episode_data.token_ids) - 1): - expected = episode_data.response_mask[i + 1].float().item() - actual = loss_mask_tensor[i].item() - if expected != actual: - mismatches.append((i, expected, actual)) - - if mismatches: - print(f" 🔥 FAIL: {len(mismatches)} positions have incorrect loss_mask") - for i, exp, act in mismatches[:5]: # Show first 5 - print(f" Position {i}: expected {exp:.1f}, got {act:.1f}") - all_pass = False - else: - print(f" ✓ All positions correctly shifted") - - # Final summary - print("\n" + "=" * 80) - print("SUMMARY") - print("=" * 80) - - if all_pass: - print("\n✅ ALL CHECKS PASSED") - print("\n V6 suffix token handling is CORRECT:") - print(" - Suffix tokens have response_mask=False") - print(" - Suffix tokens have loss_mask=0.0") - print(" - Suffix tokens have targets=IGNORE") - print(" - Suffix tokens will NOT contribute to loss") - print("\n CONCLUSION: Suffix tokens are NOT the cause of KL explosion.") - print(" The issue must be due to:") - print(" - Real model divergence between policy and ref") - print(" - Numerical issues in specific training batches") - print(" - Other factors not related to suffix handling") - else: - print("\n❌ CHECKS FAILED") - print("\n 🔥 BUG DETECTED: Suffix tokens are leaking into loss!") - print(" This could cause KL explosion if ref_model and policy") - print(" compute different logprobs for suffix positions.") - - print("\n" + "=" * 80) - print() - - -if __name__ == "__main__": - test_loss_mask_with_suffix() diff --git a/debug/improvements/COMPARISON_TINKER.md b/debug/improvements/COMPARISON_TINKER.md deleted file mode 100644 index 6e8721d21..000000000 --- a/debug/improvements/COMPARISON_TINKER.md +++ /dev/null @@ -1,169 +0,0 @@ -# Comparison: Our show_messages() vs Tinker's format_colorized() - -## Key Differences - -### Tinker's Approach (tinker-cookbook/utils/format_colorized.py) - -**Philosophy:** Display **readable text** with color coding - -```python -def format_colorized(tokens, weights, tokenizer): - """ - Groups consecutive tokens with same weight into "runs", - decodes entire runs at once, then colors the decoded text. - - Color scheme: - - Cyan: weight > 0 - - Yellow: weight = 0 - - Red: weight < 0 - """ - # Group tokens into runs by weight - for tok_id, weight in zip(tokens, weights): - if weight != current_weight: - flush_current_run() # Decode and color the run - current_ids.append(tok_id) - - # Decode entire run at once (handles multi-byte chars correctly!) - decoded = tokenizer.decode(current_ids) - chunks.append(colored(decoded, color)) -``` - -**Output:** -``` -The answer is 4 (colored green) -<|im_start|>assistant (colored yellow) -``` - -**Pros:** -- ✅ Readable as actual text -- ✅ Handles multi-byte characters correctly (CJK, emojis) -- ✅ Efficient (fewer ANSI codes) -- ✅ Clean output for presentations - -**Cons:** -- ❌ Can't see individual token boundaries -- ❌ Can't see token IDs for debugging -- ❌ Harder to debug tokenization issues - ---- - -### Our Approach (v6_final_v2) - -**Philosophy:** Display **message structure** with token-level detail - -```python -def show_messages(self, max_chars=5000): - """ - Shows messages with: - 1. Message-level summary (role, range, trainability %) - 2. Full message content (up to max_chars) - 3. Token-level colorized view (grouped into runs) - """ - # For each message: - print(f"[{msg_num}] {role} [{start:end}] ✓ TRAINABLE") - print(f" {content}") - - # Show colorized tokens (grouped by trainability) - self._show_colorized_tokens(start, end) -``` - -**Output:** -``` -[0] user [ 0: 15] · not trainable - What is 2+2? - Tokens: · What is 2+2? - -[1] assistant [ 15: 30] ✓ TRAINABLE - The answer is 4 - Tokens: · <|im_start|>assistant ✓ The answer is 4 -``` - -**Pros:** -- ✅ See message structure clearly -- ✅ See token ranges and counts -- ✅ Grouped runs show trainability transitions -- ✅ Great for debugging what gets trained on -- ✅ Shows full message content separately - -**Cons:** -- ❌ More verbose -- ❌ Token view still shows decoded text (not individual token IDs) - ---- - -## Comparison Table - -| Feature | Tinker | Ours | -|---------|--------|------| -| **Primary Goal** | Readable text with colors | Message structure + trainability | -| **Grouping** | By weight | By trainability | -| **Decoding** | Entire runs at once | Entire runs at once | -| **Multi-byte handling** | ✅ Correct | ✅ Correct | -| **Shows message structure** | ❌ No | ✅ Yes | -| **Shows token ranges** | ❌ No | ✅ Yes | -| **Shows message content** | ❌ Implicitly | ✅ Explicitly | -| **Verbosity** | Minimal | Higher (but informative) | -| **Use case** | Final output review | Debugging training data | - ---- - -## What We Adopted from Tinker - -1. **Run-based decoding:** Group consecutive tokens with same trainability and decode together -2. **Multi-byte safety:** Decode entire runs to handle CJK/emoji correctly -3. **Color coding:** Visual distinction between trainable/not trainable - -## What We Added - -1. **Message-level view:** See each message's role, range, and trainability % -2. **Content display:** Show actual message content separately from tokens -3. **Token ranges:** See exactly which tokens belong to which message -4. **Summary stats:** Total trainable tokens and percentage - ---- - -## Example Output Comparison - -### Tinker's format_colorized(): -``` -You are helpful (yellow) -What is 2+2? (yellow) -<|im_start|>assistant (yellow) -The answer is 4 (cyan) -<|im_end|> (yellow) -``` -**Everything is smooshed together, but very readable** - -### Our show_messages(): -``` -================================================================================ -TokenAccumulator: 45/2048 tokens -================================================================================ - -[0] system [ 0: 3] · not trainable - You are helpful - Tokens: · You are helpful - -[1] user [ 3: 7] · not trainable - What is 2+2? - Tokens: · What is 2+2? - -[2] assistant [ 7: 13] ⚠ PARTIAL (5/6) - The answer is 4 - Tokens: · <|im_start|>assistant ✓ The answer is 4 - -================================================================================ -Total: 5/13 trainable tokens (38.5%) -================================================================================ -``` -**More verbose, but shows exactly what will be trained on** - ---- - -## Conclusion - -**Tinker's approach:** Perfect for showing "this is what the model sees" -**Our approach:** Perfect for debugging "this is what we're training on" - -We successfully adopted Tinker's key insight (run-based decoding) while adding -the message-level structure needed for RL debugging. diff --git a/debug/improvements/token_accumulator_v6_final_v2.py b/debug/improvements/token_accumulator_v6_final_v2.py deleted file mode 100644 index 5e176136c..000000000 --- a/debug/improvements/token_accumulator_v6_final_v2.py +++ /dev/null @@ -1,658 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Token accumulation for multi-turn RL episodes using vLLM tokens directly. - -See TokenAccumulator class for details. -""" - -import threading -from dataclasses import dataclass -from enum import Enum -from typing import Optional - -import torch - - -class ValidationMode(Enum): - """Validation strictness.""" - - STRICT = "strict" # Raise on failures - WARN = "warn" # Print warnings - OFF = "off" # No validation - - -class TruncationReason(Enum): - """Truncation reason.""" - - USER_TOO_LONG = "user_too_long" - ASSISTANT_TOO_LONG = "assistant_too_long" - TOOL_TOO_LONG = "tool_too_long" - MAX_NUM_TURNS = "max_num_turns" - - -@dataclass -class EpisodeData: - """ - Episode data as tensors, ready for training. - - All tensors have shape (T,) where T is sequence length. - """ - - token_ids: torch.Tensor # dtype=long - response_mask: torch.Tensor # dtype=bool - logprobs: torch.Tensor # dtype=float - is_truncated: bool - truncation_reason: Optional[str] = None - - -class TokenAccumulator: - """ - Accumulate tokens for multi-turn RL episodes using vLLM tokens directly. - - ## Why Delta Tokenization? - - vLLM only returns assistant response tokens. We need the full conversation with - chat template tokens for training. We can't re-tokenize because it's expensive - and error-prone. - - **What we get from vLLM:** - ``` - response_tokens = [791, 19, 374, 220, 2] # ["The", "answer", "is", "4", ""] - ``` - - **What we need for training:** - ``` - [1, 2, 3] # ["You", "are", "helpful"] (not trainable) - [10, 11, 12, 13] # ["What", "is", "2+2", "?"] (not trainable) - [150, 123] # ["<|im_start|>", "assistant"] (not trainable) - [791, 19, 374, 220, 2] # ["The", "answer", "is", "4", eos] (TRAINABLE!) - [151] # ["<|im_end|>"] (not trainable, Qwen only) - ``` - - **Solution:** Use an anchor conversation [system, empty_user] that never changes. - Tokenize new messages against it and extract deltas. For assistant responses, - add generation prompt prefix and any model-specific suffix. - - ## Truncation Behavior - - - **add_user**: If truncated, adds partial message (truncated to fit budget) - - **add_assistant**: If truncated, DROPS entire response (nothing added) - - Once truncated, all subsequent adds will fail (return False) - - ## Usage - - ```python - acc = TokenAccumulator(tok, [{"role": "system", "content": "Help"}], 2048, eos_id=2) - - # Add messages - acc.add_user("What is 2+2?") - prompt = acc.format_prompt() - response = vllm_generate(prompt) - acc.add_assistant(response.text, response.token_ids, response.logprobs) - - # Show what will be trained on - acc.show_messages() - - # Get episode data as tensors - episode = acc.get_data() - # episode.token_ids: torch.Tensor (long) - # episode.response_mask: torch.Tensor (bool, True = trainable) - # episode.logprobs: torch.Tensor (float) - ``` - - Args: - tokenizer: HuggingFace tokenizer with apply_chat_template - messages: Initial messages (must include system message) - max_len: Maximum sequence length - eos_id: End-of-sequence token ID - thinking: Enable tags for Qwen models - validation: Validation mode (STRICT, WARN, OFF) - """ - - def __init__( - self, - tokenizer, - messages: list[dict], - max_len: int, - eos_id: int, - thinking: bool = True, - validation: ValidationMode = ValidationMode.STRICT, - ) -> None: - self._validate_init(tokenizer, messages, max_len, eos_id) - - self.tokenizer = tokenizer - self.max_len = max_len - self.eos_id = eos_id - self.thinking = thinking - self.validation = validation - - # State - self.messages: list[dict] = [] - self._tokens: list[int] = [] - self._mask: list[bool] = [] - self._logprobs: list[float] = [] - self.truncated: bool = False - self.truncation_reason: Optional[TruncationReason] = None - - # Track message boundaries for efficient validation - # Each entry: (end_idx, role, should_end_with_eos) - self._message_ends: list[tuple[int, str, bool]] = [] - - # Thread safety - self._lock = threading.Lock() - - # Setup - self._setup_anchor(messages) - self._init_messages(messages) - - def __repr__(self) -> str: - status = f", truncated" if self.truncated else "" - return f"TokenAccumulator({len(self._tokens)}/{self.max_len}{status})" - - @property - def budget(self) -> int: - """Remaining token budget.""" - return max(0, self.max_len - len(self._tokens) - self.gen_prompt_len) - - def add_user(self, content: str) -> bool: - """ - Add user message. If truncated, adds partial message (truncated to fit). - - Returns: - True if not truncated, False if truncated - """ - if not isinstance(content, str): - raise TypeError(f"content must be str, got {type(content)}") - - msg = {"role": "user", "content": content} - - # Tokenize [system, user] and extract delta - with self._lock: - full = self.tokenizer.apply_chat_template( - [self.anchor[0], msg], - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.thinking, - ) - # Extract user tokens by slicing off system prefix - tokens = full[self.sys_len :] - - if not tokens: - return True - - # Check budget - budget = self.budget - if budget <= 0: - self._mark_truncated(TruncationReason.USER_TOO_LONG) - return False - - # Truncate if needed (still adds partial) - was_truncated = len(tokens) > budget - if was_truncated: - tokens = tokens[:budget] - self._mark_truncated(TruncationReason.USER_TOO_LONG) - - self.messages.append(msg) - self._add_tokens(tokens, trainable=False, role="user", ends_with_eos=False) - - return not was_truncated - - def add_assistant( - self, text: str, token_ids: list[int], logprobs: Optional[list[float]] = None - ) -> bool: - """ - Add assistant response from vLLM. If truncated, DROPS entire response (nothing added). - - Args: - text: Response text (for message log) - token_ids: Token IDs from vLLM (must end with EOS) - logprobs: Log probabilities (optional) - - Returns: - False if truncated/invalid (response dropped), True if added successfully - """ - # Type validation - if not isinstance(text, str): - raise TypeError(f"text must be str, got {type(text)}") - if not isinstance(token_ids, list): - raise TypeError(f"token_ids must be list, got {type(token_ids)}") - - # Must have tokens and end with EOS - if not token_ids: - return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) - if token_ids[-1] != self.eos_id: - return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) - - # Check budget: generation_prompt + response + suffix - total_len = self.gen_prompt_len + len(token_ids) + len(self.suffix) - if total_len > self.budget: - return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) - - # Validate logprobs if provided - if logprobs is not None: - if not isinstance(logprobs, list): - raise TypeError(f"logprobs must be list or None") - if len(logprobs) != len(token_ids): - raise ValueError( - f"logprobs length mismatch: {len(logprobs)} != {len(token_ids)}" - ) - - self.messages.append({"role": "assistant", "content": text}) - - # Generation prompt (not trainable) - self._add_tokens( - self.gen_prompt_tokens, - trainable=False, - logprobs=[0.0] * len(self.gen_prompt_tokens), - role="assistant_prompt", - ends_with_eos=False, - ) - - # Response tokens (trainable) - self._add_tokens( - token_ids, - trainable=True, - logprobs=logprobs, - role="assistant", - ends_with_eos=True, - ) - - # Suffix if needed (not trainable) - if self.suffix: - self._add_tokens( - self.suffix, - trainable=False, - logprobs=[0.0] * len(self.suffix), - role="assistant_suffix", - ends_with_eos=False, - ) - - return True - - def format_prompt(self) -> str: - """Format conversation for vLLM generation.""" - with self._lock: - return self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=True, - tokenize=False, - enable_thinking=self.thinking, - ) - - def get_data(self) -> EpisodeData: - """ - Convert to tensors, validate, and return episode data. - - Returns: - EpisodeData with torch tensors - - Raises: - AssertionError/ValueError: If validation fails in STRICT mode - """ - # Convert to tensors - token_ids = torch.tensor(self._tokens, dtype=torch.long) - response_mask = torch.tensor(self._mask, dtype=torch.bool) - logprobs = torch.tensor(self._logprobs, dtype=torch.float) - - # Validate on tensors - if self.validation != ValidationMode.OFF: - self._validate(token_ids, response_mask, logprobs) - - return EpisodeData( - token_ids=token_ids, - response_mask=response_mask, - logprobs=logprobs, - is_truncated=self.truncated, - truncation_reason=( - self.truncation_reason.value if self.truncation_reason else None - ), - ) - - def show_messages(self, max_chars: int = 5000) -> None: - """ - Show conversation with trainability highlighted. - - Uses colored text runs for readability (similar to tinker-cookbook's format_colorized). - Groups consecutive tokens with same trainability and decodes together for proper - multi-byte character handling. - - Args: - max_chars: Maximum characters to show per message (default: 5000) - """ - print("=" * 80) - print(f"TokenAccumulator: {len(self._tokens)}/{self.max_len} tokens") - print("=" * 80) - - if not self.messages: - print("(no messages)") - print("=" * 80) - return - - # Show each message with trainability info - current_idx = 0 - for msg_num, msg in enumerate(self.messages): - role = msg["role"] - content = msg["content"] - - # Find tokens for this message - msg_end = None - for end_idx, end_role, _ in self._message_ends: - if end_idx > current_idx: - if role in end_role or end_role == "assistant_suffix": - msg_end = end_idx - break - - if msg_end is None: - msg_end = len(self._tokens) - - # Count trainable tokens - trainable_count = sum(self._mask[current_idx:msg_end]) - total_count = msg_end - current_idx - - # Visual indicator - if trainable_count == total_count: - indicator = "✓ TRAINABLE" - color = "\033[92m" # Green - elif trainable_count > 0: - indicator = f"⚠ PARTIAL ({trainable_count}/{total_count})" - color = "\033[93m" # Yellow - else: - indicator = "· not trainable" - color = "\033[90m" # Gray - - # Header - print( - f"\n{color}[{msg_num}] {role:10s} [{current_idx:4d}:{msg_end:4d}] {indicator}\033[0m" - ) - - # Content with optional truncation - if len(content) > max_chars: - preview = ( - content[:max_chars] - + f"\n... ({len(content) - max_chars} more chars)" - ) - else: - preview = content - - print(f" {preview}") - - # Show colorized tokens for this message - self._show_colorized_tokens(current_idx, msg_end) - - current_idx = msg_end - - # Summary - print(f"\n{'='*80}") - trainable_total = sum(self._mask) - pct = 100 * trainable_total / len(self._tokens) if self._tokens else 0 - print( - f"Total: {trainable_total}/{len(self._tokens)} trainable tokens ({pct:.1f}%)" - ) - print("=" * 80) - - def _show_colorized_tokens(self, start_idx: int, end_idx: int) -> None: - """ - Show colorized token-level view for a message range. - - Groups consecutive tokens with same trainability into "runs" and decodes - them together. This handles multi-byte characters correctly. - """ - if start_idx >= end_idx: - return - - chunks = [] - current_ids = [] - current_trainable = None - - def flush_run(): - if not current_ids: - return - # Decode entire run at once - with self._lock: - decoded = self.tokenizer.decode(current_ids) - # Color based on trainability - if current_trainable: - color_code = "\033[92m" # Green for trainable - symbol = "✓" - else: - color_code = "\033[90m" # Gray for not trainable - symbol = "·" - # Escape special characters for display - decoded_repr = repr(decoded)[1:-1] # Remove outer quotes - chunks.append(f"{color_code}{symbol} {decoded_repr}\033[0m") - - # Group tokens into runs - for i in range(start_idx, end_idx): - trainable = self._mask[i] - - # Flush when trainability changes - if trainable != current_trainable and current_ids: - flush_run() - current_ids = [] - - current_ids.append(self._tokens[i]) - current_trainable = trainable - - # Flush final run - flush_run() - - # Print runs - if chunks: - print(" Tokens: " + " ".join(chunks)) - - # Internal helpers - def _validate_init( - self, tokenizer, messages: list[dict], max_len: int, eos_id: int - ) -> None: - """Validate initialization parameters.""" - if not hasattr(tokenizer, "apply_chat_template"): - raise ValueError("Tokenizer must have apply_chat_template method") - if not messages: - raise ValueError("Must provide at least a system message") - if not isinstance(messages, list): - raise TypeError(f"messages must be list, got {type(messages)}") - for i, msg in enumerate(messages): - if not isinstance(msg, dict): - raise TypeError(f"Message {i} must be dict") - if "role" not in msg or "content" not in msg: - raise ValueError(f"Message {i} missing 'role' or 'content'") - if not isinstance(max_len, int) or max_len <= 0: - raise ValueError(f"max_len must be positive int, got {max_len}") - if not isinstance(eos_id, int): - raise TypeError(f"eos_id must be int, got {type(eos_id)}") - - def _setup_anchor(self, msgs: list[dict]) -> None: - """ - Setup anchor for delta tokenization and compute suffix. - - The suffix is anything after EOS in the chat template. We create a test - conversation with EOS and extract any tokens that follow it. - """ - sys = ( - msgs[0] - if msgs[0]["role"] == "system" - else {"role": "system", "content": ""} - ) - self.anchor = [sys, {"role": "user", "content": ""}] - - with self._lock: - # Compute generation prompt - without = self.tokenizer.apply_chat_template( - self.anchor, - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.thinking, - ) - with_gen = self.tokenizer.apply_chat_template( - self.anchor, - add_generation_prompt=True, - tokenize=True, - enable_thinking=self.thinking, - ) - self.gen_prompt_tokens = with_gen[len(without) :] - self.gen_prompt_len = len(self.gen_prompt_tokens) - - # Compute system length - sys_tokens = self.tokenizer.apply_chat_template( - [sys], - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.thinking, - ) - self.sys_len = len(sys_tokens) - - # Compute suffix by tokenizing a test conversation - test_conv = [ - sys, - {"role": "user", "content": "test"}, - {"role": "assistant", "content": "response"}, - ] - test_tokens = self.tokenizer.apply_chat_template( - test_conv, - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.thinking, - ) - - # Find last EOS - eos_idx = -1 - for i in range(len(test_tokens) - 1, -1, -1): - if test_tokens[i] == self.eos_id: - eos_idx = i - break - - # Extract suffix (everything after EOS, or empty if nothing) - if eos_idx >= 0 and eos_idx < len(test_tokens) - 1: - self.suffix = test_tokens[eos_idx + 1 :] - else: - self.suffix = [] - - def _init_messages(self, msgs: list[dict]) -> None: - """Initialize with starting messages.""" - if not msgs: - return - - with self._lock: - tokens = self.tokenizer.apply_chat_template( - msgs, - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.thinking, - ) - - if len(tokens) > self.max_len: - self._mark_truncated(TruncationReason.USER_TOO_LONG) - tokens = tokens[: self.max_len] - - self.messages = msgs.copy() - self._add_tokens(tokens, trainable=False, role="initial", ends_with_eos=False) - - def _add_tokens( - self, - tokens: list[int], - trainable: bool, - logprobs: Optional[list[float]] = None, - role: str = "", - ends_with_eos: bool = False, - ) -> None: - """Add tokens to parallel arrays and track message boundary.""" - if not tokens: - return - - self._tokens.extend(tokens) - self._mask.extend([trainable] * len(tokens)) - self._logprobs.extend(logprobs if logprobs else [0.0] * len(tokens)) - - # Track message end for validation - end_idx = len(self._tokens) - 1 - self._message_ends.append((end_idx, role, ends_with_eos)) - - def _mark_truncated(self, reason: TruncationReason) -> bool: - """Mark as truncated.""" - self.truncated = True - self.truncation_reason = reason - return False - - def _validate( - self, - token_ids: torch.Tensor, - response_mask: torch.Tensor, - logprobs: torch.Tensor, - ) -> None: - """ - Run validation checks on tensors. - - Args: - token_ids: Token IDs tensor (shape: T) - response_mask: Response mask tensor (shape: T) - logprobs: Log probabilities tensor (shape: T) - """ - # Check 1: Shapes match - if not (token_ids.shape == response_mask.shape == logprobs.shape): - raise AssertionError( - f"Shape mismatch: token_ids={token_ids.shape}, " - f"mask={response_mask.shape}, logprobs={logprobs.shape}" - ) - - # Check 2: Budget not exceeded - if len(token_ids) > self.max_len: - raise ValueError(f"Budget overflow: {len(token_ids)} > {self.max_len}") - - # Check 3: Message boundaries are correct - for end_idx, role, should_end_with_eos in self._message_ends: - if should_end_with_eos: - # Token at end_idx should be eos_id - if token_ids[end_idx].item() != self.eos_id: - msg = f"{role} at {end_idx} has token {token_ids[end_idx].item()}, expected EOS {self.eos_id}" - if self.validation == ValidationMode.STRICT: - raise ValueError(msg) - print(f"WARNING: {msg}") - - # For assistant: end_idx should be trainable - if role == "assistant" and not response_mask[end_idx].item(): - msg = f"Assistant EOS at {end_idx} is not trainable" - if self.validation == ValidationMode.STRICT: - raise ValueError(msg) - print(f"WARNING: {msg}") - - # Token after EOS should not be trainable - if end_idx + 1 < len(token_ids) and response_mask[end_idx + 1].item(): - msg = ( - f"Token after EOS at {end_idx+1} is trainable (should be False)" - ) - if self.validation == ValidationMode.STRICT: - raise ValueError(msg) - print(f"WARNING: {msg}") - - # Check 4: Prefix consistency (incremental == full tokenization) - with self._lock: - full_tokens = self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.thinking, - ) - - # Account for suffix: accumulated = full + suffix_insertions - num_assistant_msgs = sum( - 1 for msg in self.messages if msg["role"] == "assistant" - ) - expected_suffix_tokens = num_assistant_msgs * len(self.suffix) - - accumulated_len = len(token_ids) - expected_len = len(full_tokens) + expected_suffix_tokens - - if accumulated_len != expected_len: - msg = ( - f"Prefix consistency failed: " - f"accumulated={accumulated_len} tokens, " - f"expected={expected_len} (full={len(full_tokens)} + suffix={expected_suffix_tokens})" - ) - if self.validation == ValidationMode.STRICT: - raise AssertionError(msg) - print(f"WARNING: {msg}") diff --git a/debug/masking_comparison_summary.md b/debug/masking_comparison_summary.md deleted file mode 100644 index bc40be07f..000000000 --- a/debug/masking_comparison_summary.md +++ /dev/null @@ -1,325 +0,0 @@ -# Multi-Turn Masking: Library Comparison Summary - -**Date:** 2025-11-19 -**Purpose:** Compare how different RL libraries handle tokens after EOS in multi-turn conversations - ---- - -## Quick Comparison Table - -| Library | Strips After EOS? | Checks Suffix Length? | How They Handle Post-EOS Tokens | -|---------|-------------------|----------------------|----------------------------------| -| **VERL** | ❌ No | ❌ No | Masks them out with `get_response_mask()` using cumsum trick | -| **TRL** | ✅ Yes | ❌ No | Strips during generation using `argmax` to find first EOS | -| **Prime-RL** | ❌ No | ❌ No | Takes ALL tokens from vLLM, delegates to verifiers library | -| **Tinker-Cookbook** | ❌ No (training)
✅ Yes (inference) | ❌ No | Includes EOS in training, strips only during parsing | -| **NeMo-RL** | ❌ No | ❌ No | Role-based masking, trusts chat template | -| **Forge (Current)** | ✅ Yes | ✅ Yes | Validates suffix_len==0, strips in TokenAccumulator | - ---- - -## Detailed Findings - -### 1. VERL - Mask-Based Approach - -**Philosophy:** Keep sequences intact, use masks to control training - -```python -# verl/verl/utils/reward_score/rl.py:165-173 -def get_response_mask(sequences, eos_token_id): - """Create mask: 1 up to (and including) first EOS, 0 after""" - eos_mask = sequences.eq(eos_token_id) - # Cumsum trick: once we hit EOS, all future positions become 1 - # Subtract eos_mask to exclude positions before first EOS - # Result: 0 for valid tokens (including first EOS), 1 for post-EOS - return (eos_mask.cumsum(dim=1) - eos_mask).eq(0) -``` - -**Key Points:** -- ✅ Elegant solution using cumsum -- ✅ No sequence manipulation -- ✅ Preserves full sequence for debugging -- ⚠️ Still has tokens after EOS in the tensor - -**Files:** -- `verl/verl/utils/reward_score/rl.py:165-173` -- `verl/verl/workers/rollout/vllm_rollout/vllm_rollout.py:400-500` - ---- - -### 2. TRL - Stripping Approach - -**Philosophy:** Remove tokens after first EOS during generation - -```python -# trl/grpo_trainer.py:1383-1390 -# Find first occurrence of EOS -eos_indices = (completions == generation_config.eos_token_id).long().argmax(dim=-1) - -# Strip everything after first EOS -for i, (eos_idx, completion) in enumerate(zip(eos_indices, completions)): - if eos_idx > 0: # If EOS found - # Exclude tokens after EOS - completions[i, eos_idx + 1:] = tokenizer.pad_token_id - completion_masks[i, eos_idx + 1:] = 0 -``` - -**Key Points:** -- ✅ Actively removes post-EOS tokens -- ✅ Simple argmax approach -- ⚠️ No validation of how many tokens removed -- ⚠️ Assumes first EOS is the real one - -**Files:** -- `trl/trl/trainer/grpo_trainer.py:1383-1390` -- `trl/trl/trainer/rloo_trainer.py:1340-1347` - ---- - -### 3. Prime-RL - Trust vLLM Approach - -**Philosophy:** Accept whatever vLLM generates, no post-processing - -```python -# Prime-RL delegates to verifiers library -# Uses vLLM response tokens directly without re-tokenization -# No stripping or validation of post-EOS tokens -``` - -**Key Points:** -- ✅ Simple - trusts vLLM output -- ✅ Uses external verifiers library -- ⚠️ Could train on garbage if vLLM generates extra tokens -- ⚠️ No safeguards for malformed responses - -**Files:** -- `prime-rl/src/prime_rl/trainer/rl/rollout_worker.py` -- External: `verifiers` library - ---- - -### 4. Tinker-Cookbook - Hybrid Approach - -**Philosophy:** Include EOS in training, strip only during parsing - -```python -# tinker_cookbook/renderers.py:140-162 -def parse_chat_message_assistant(text): - """Parse response, stopping at first EOS""" - for stop_sequence in self.renderer.stop_sequences: - if stop_sequence in text: - text = text.split(stop_sequence)[0] - return text -``` - -**Key Points:** -- ✅ EOS tokens get weight=1.0 (trained) -- ✅ Uses stop sequences during sampling -- ✅ Only strips during inference/parsing -- ⚠️ Training data includes full sequences - -**Files:** -- `tinker_cookbook/renderers.py:84-162` -- `tinker_cookbook/configs/training.py` - ---- - -### 5. NeMo-RL - Role-Based Masking - -**Philosophy:** Mask based on message role, trust chat template - -```python -# RL/nemo_rl/data/llm_message_utils.py:141-176 -def add_loss_mask_to_message_log(message_log): - """Add loss masks based on role""" - for message in message_log: - if message['role'] == 'assistant': - message['loss_mask'] = torch.ones_like(token_ids) - else: - message['loss_mask'] = torch.zeros_like(token_ids) -``` - -**Key Points:** -- ✅ Simple role-based approach -- ✅ Trusts tokenizer.apply_chat_template() -- ⚠️ No validation of token sequences -- ⚠️ No special EOS handling - -**Files:** -- `RL/nemo_rl/data/llm_message_utils.py:141-176` -- `RL/nemo_rl/models/generation/vllm/vllm_worker_async.py:40-121` - ---- - -## Our Bug: Tokens After EOS with response_mask=1 - -### The Problem - -In our `TokenAccumulator`, when adding an assistant response: - -```python -# Current code in TokenAccumulator.add_assistant_response -assistant_tokens = self._tokenize_delta(message, "assistant") -# assistant_tokens includes: [prefix, content, EOS, NEWLINE] -# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ -# ALL marked as response_mask=True! - -mask = [False] * prefix_len + [True] * (len(assistant_tokens) - prefix_len) -self._accumulate(assistant_tokens, mask=mask) -``` - -Then when we create loss_mask: -```python -loss_mask = torch.roll(response_mask, shifts=-1, dims=0).float() -loss_mask[-1] = 0.0 -``` - -Result: -``` -Pos 653: content response_mask=1 loss_mask=1 ✓ -Pos 654: EOS response_mask=1 loss_mask=1 ✗ BUG! Training to predict newline -Pos 655: newline response_mask=1 loss_mask=0 ✗ BUG! Newline is part of response! -Pos 656: <|im_start|> response_mask=0 loss_mask=0 ✓ -``` - ---- - -## Solutions Comparison - -### Option 1: VERL Approach - Mask Post-EOS Tokens - -**What to do:** -- Keep tokens in sequence -- Create `get_response_mask()` to mask positions after first EOS -- Use this when creating loss_mask - -**Pros:** -- ✅ No sequence manipulation -- ✅ Full sequence preserved for debugging -- ✅ Clean separation of concerns - -**Cons:** -- ⚠️ Need to implement cumsum logic -- ⚠️ Tokens still in memory (minor) - -**Code change:** -```python -def create_loss_mask_with_eos_handling(response_mask, all_token_ids, eos_token_id): - # First, shift response_mask - loss_mask = torch.roll(response_mask, shifts=-1, dims=0).float() - loss_mask[-1] = 0.0 - - # Then, mask out positions at or after EOS - eos_mask = (all_token_ids == eos_token_id) - # Cumsum: after first EOS, all positions become > 0 - post_eos_mask = (eos_mask.cumsum(dim=0) > 0) - loss_mask[post_eos_mask] = 0.0 - - return loss_mask -``` - -### Option 2: TRL Approach - Strip After EOS in TokenAccumulator - -**What to do:** -- When adding assistant response, find first EOS and truncate -- Only add tokens up to (and including) EOS - -**Pros:** -- ✅ Simple - just find and truncate -- ✅ Cleaner sequences - -**Cons:** -- ⚠️ Modifies sequences -- ⚠️ Loses information about what was generated - -**Code change:** -```python -def add_assistant_response(self, response_text, response_token_ids, ...): - # Find first EOS - if self.eos_token_id in response_token_ids: - eos_idx = response_token_ids.index(self.eos_token_id) - response_token_ids = response_token_ids[:eos_idx + 1] # Include EOS - # Re-decode to get matching text - response_text = self.tokenizer.decode(response_token_ids) - - # Continue with delta tokenization... -``` - -### Option 3: Tinker-Cookbook Approach - Include EOS, Rely on Stop Sequences - -**What to do:** -- Accept that sequences may have tokens after EOS -- Mask them in loss_mask creation -- Use stop sequences during sampling - -**Pros:** -- ✅ Matches vLLM behavior -- ✅ Simple - -**Cons:** -- ⚠️ Doesn't solve our current bug - ---- - -## Recommendation - -**Best solution: Hybrid of VERL + TRL** - -1. **In TokenAccumulator** (TRL approach): - - Strip tokens after first EOS when adding assistant responses - - This prevents the newline from being added to `accumulated_tokens` - -2. **In loss_mask creation** (VERL approach as safeguard): - - Add EOS masking logic as defensive programming - - Handle edge cases where EOS might slip through - -**Why this is best:** -- ✅ Prevents root cause (no post-EOS tokens in accumulator) -- ✅ Defensive (mask them anyway if they appear) -- ✅ Matches what vLLM actually generates -- ✅ Cleaner sequences - ---- - -## Implementation Plan - -1. **Fix TokenAccumulator.add_assistant_response():** -```python -def add_assistant_response(self, response_text, response_token_ids, ...): - # Check for EOS and truncate - if response_token_ids and response_token_ids[-1] != self.eos_token_id: - return self._mark_truncated(TruncationReason.AGENT_TOO_LONG) - - # Find first EOS (in case there are multiple) - eos_positions = [i for i, tid in enumerate(response_token_ids) if tid == self.eos_token_id] - if eos_positions: - first_eos = eos_positions[0] - if first_eos < len(response_token_ids) - 1: - # There are tokens after first EOS - truncate - response_token_ids = response_token_ids[:first_eos + 1] - # Note: response_text may be stale now, but we don't use it for tokenization - - # Continue with existing delta tokenization logic... -``` - -2. **Add defensive EOS masking in do_single_rollout():** -```python -# After creating loss_mask with torch.roll -loss_mask_tensor = torch.roll(response_mask_tensor, shifts=-1, dims=0).float() -loss_mask_tensor[-1] = 0.0 - -# Defensive: mask positions AT eos tokens -eos_positions = (all_tokens_tensor == eos_token_id) -loss_mask_tensor[eos_positions] = 0.0 -``` - -This gives us defense-in-depth! - ---- - -## Testing - -After implementation, verify with `debug/verify_eos_hypothesis.py`: -- Should show 0 EOS positions with loss_mask=1 -- Should show 0 suspicious tokens after EOS with response_mask=1 -- KL at EOS should be same as non-EOS (near zero) diff --git a/debug/prime_rl_masking_research.md b/debug/prime_rl_masking_research.md deleted file mode 100644 index 81baee4f0..000000000 --- a/debug/prime_rl_masking_research.md +++ /dev/null @@ -1,609 +0,0 @@ -# Prime-RL Multi-Turn Conversation Masking Research - -## Executive Summary - -Prime-RL uses a different approach to multi-turn conversation masking than Forge. Key differences: - -1. **NO suffix stripping after EOS** - Prime-RL does NOT check or strip tokens after EOS in responses -2. **Incremental tokenization** - Uses incremental chat template application to build masks -3. **Delegation to verifiers library** - RL masking logic is in the external `verifiers` library, not prime-rl itself -4. **SFT ensures EOS presence** - SFT training always ensures EOS token is present in target_ids - ---- - -## 1. SFT Loss Mask Creation (Multi-Turn) - -### Location -**File**: `/home/felipemello/forge/prime-rl/src/prime_rl/trainer/sft/data.py` -**Function**: `build_loss_mask()` (lines 226-255) - -### How It Works - -Prime-RL uses **incremental tokenization** with `apply_chat_template()` to build loss masks: - -```python -def build_loss_mask(prompt, completion, tokenizer, loss_mask_config: LossMaskConfig) -> list[bool]: - messages = prompt + completion - loss_mask: list[bool] = [] - prev_ids, prev_len = [], 0 - for i, message in enumerate(messages): - # Tokenize conversation up to current message (incremental) - cur_ids = tokenizer.apply_chat_template( - messages[: i + 1], - tools=tools, - add_generation_prompt=True if ( - message["role"] in ["user", "tool"] - and i + 1 < len(messages) - and messages[i + 1]["role"] == "assistant" - ) else False, - ) - # Verify incremental consistency - assert prev_ids == cur_ids[:prev_len] - - # Extend mask for new tokens with role-based masking - loss_mask.extend([should_mask(message, loss_mask_config)] * (len(cur_ids) - prev_len)) - prev_ids, prev_len = cur_ids, len(cur_ids) - - return loss_mask -``` - -**Key Points:** -- Incremental tokenization: tokenize `messages[:i+1]` at each step -- Verifies prefix consistency: `prev_ids == cur_ids[:prev_len]` -- Uses `add_generation_prompt=True` after user/tool messages to mask assistant header tokens -- Role-based masking controlled by `LossMaskConfig` (system, user, assistant, tool) - -### Loss Mask Configuration - -**File**: `/home/felipemello/forge/prime-rl/src/prime_rl/trainer/sft/config.py` (lines 36-42) - -```python -class LossMaskConfig(BaseModel): - system: bool = False # Don't train on system messages - user: bool = False # Don't train on user messages - assistant: bool = True # DO train on assistant messages - tool: bool = False # Don't train on tool messages -``` - -**Default behavior**: Only train on assistant messages, mask everything else. - ---- - -## 2. EOS Token Handling in SFT - -### Location -**File**: `/home/felipemello/forge/prime-rl/src/prime_rl/trainer/sft/data.py` -**Function**: `_process()` (lines 270-293) - -### EOS Handling Logic - -```python -# Build input_ids using chat template -input_ids = self.tokenizer.apply_chat_template( - prompt + completion, - tools=tools, -) - -# Build loss_mask -loss_mask = build_loss_mask(prompt, completion, self.tokenizer, self.loss_mask_config) - -# If EOS token is not found, manually append it -if not self.tokenizer.eos_token_id in input_ids: - self.logger.warning( - f"Did not find EOS token ID {self.tokenizer.eos_token_id} in input_ids. " - "Is something wrong with the chat template? Manually appending EOS token..." - ) - input_ids.append(cast(int, self.tokenizer.eos_token_id)) - loss_mask.append(True) - -# Prepare inputs (shift for next-token prediction) -target_ids = input_ids.copy()[1:] -loss_mask = loss_mask[1:] -input_ids = input_ids[:-1] - -# Assertions -assert sum(loss_mask) > 0, "There are no tokens in this sample that contribute to the loss" -assert self.tokenizer.eos_token_id in target_ids, "EOS token ID must be present in target_ids" -``` - -**Critical Findings:** -1. ✅ **EOS is REQUIRED** in target_ids (assertion on line 293) -2. ✅ **Manually appends EOS** if chat template doesn't include it -3. ❌ **NO suffix stripping** - Does NOT check for or remove tokens after EOS -4. ✅ **Trains on EOS** - The EOS token has `loss_mask=True` - ---- - -## 3. RL Loss Mask Creation (Multi-Turn) - -### Architecture - -RL mask creation is **delegated to the verifiers library**: - -``` -prime-rl/orchestrator/scheduler.py - └─> env.process_env_results_vllm() - └─> verifiers/envs/environment.py::process_env_results_vllm() - └─> verifiers/utils/processing_utils.py::process_chat_format_vllm() -``` - -### Main Entry Point - -**File**: `/home/felipemello/forge/prime-rl/src/prime_rl/orchestrator/scheduler.py` (lines 71-85) - -```python -def process_generate_outputs(self, generate_outputs: GenerateOutputs) -> list[Rollout]: - processed_outputs: ProcessedOutputs = self.env.process_env_results_vllm( - prompts=generate_outputs.prompt, - completions=generate_outputs.completion, - states=generate_outputs.state, - rewards=generate_outputs.reward, - processing_class=self.tokenizer, - max_seq_len=self.seq_len, - mask_env_responses=self.config.mask_env_responses, - zero_truncated_completions=self.config.zero_truncated_completions, - mask_truncated_completions=self.config.mask_truncated_completions, - ) - # Returns: prompt_ids, prompt_mask, completion_ids, completion_mask, completion_logprobs -``` - -### Verifiers Library Processing - -**File**: `/home/felipemello/forge/verifiers/verifiers/utils/processing_utils.py` -**Function**: `process_chat_format_vllm()` (lines 72-162) - -#### Chat Format Processing - -```python -def process_chat_format_vllm( - prompt: list[ChatMessage], - completion: list[ChatMessage], - state: State, - processing_class: "PreTrainedTokenizerBase", - mask_env_responses: bool = False, -) -> tuple[list[int], list[int], list[int], list[int], list[float]]: - """ - Process chat format conversations using incremental prefixes. - """ - responses = state["responses"] # vLLM response objects - - # Match completion messages with vLLM responses - zipped = [] - for turn in completion: - if turn["role"] == "assistant": - zipped.append((turn, responses[responses_idx])) - responses_idx += 1 - else: - zipped.append((turn, None)) - - # Tokenize prompt - prompt_ids = processing_class.apply_chat_template( - conversation=prompt, - add_generation_prompt=True, - tools=oai_tools, - ) - prompt_mask = [0] * len(prompt_ids) # Don't train on prompt - - # Process completion turns incrementally - completion_ids = [] - completion_mask = [] - completion_logprobs = [] - - i = 0 - while i < len(zipped): - message, response = zipped[i] - - if message["role"] == "assistant": - # Use vLLM response tokens and logprobs - completion_turn_ids = parse_chat_completion_tokens(response) - completion_turn_mask = [1] * len(completion_turn_ids) - completion_turn_logprobs = parse_chat_completion_logprobs(response) - - completion_ids.extend(completion_turn_ids) - completion_mask.extend(completion_turn_mask) - completion_logprobs.extend(completion_turn_logprobs) - messages_consumed.append(message) - i += 1 - - else: # user/tool case - # Collect consecutive non-assistant messages - consecutive_messages = [message] - j = i + 1 - while j < len(zipped) and zipped[j][0]["role"] != "assistant": - consecutive_messages.append(zipped[j][0]) - j += 1 - - # Tokenize prefix (up to last assistant) - token_prefix = processing_class.apply_chat_template( - conversation=messages_consumed, - add_generation_prompt=False, - tools=oai_tools, - ) - - # Tokenize with new user/tool + assistant header - token_prefix_with_turn = processing_class.apply_chat_template( - conversation=messages_consumed + consecutive_messages, - add_generation_prompt=True, # Includes assistant header - tools=oai_tools, - ) - - # Extract new tokens (user message + assistant header) - completion_turn_ids = token_prefix_with_turn[len(token_prefix):] - - if mask_env_responses: - completion_turn_mask = [0] * len(completion_turn_ids) # Mask env responses - else: - completion_turn_mask = [1] * len(completion_turn_ids) # Train on env responses - - completion_turn_logprobs = [0.0] * len(completion_turn_ids) # No logprobs for env - - completion_ids.extend(completion_turn_ids) - completion_mask.extend(completion_turn_mask) - completion_logprobs.extend(completion_turn_logprobs) - messages_consumed.extend(consecutive_messages) - i = j - - return (prompt_ids, prompt_mask, completion_ids, completion_mask, completion_logprobs) -``` - -**Key Points:** -1. Uses **vLLM response objects** stored in `state["responses"]` to get actual generated tokens/logprobs -2. **Incremental tokenization** similar to SFT (verifies prefix consistency) -3. **mask_env_responses flag**: controls whether environment responses (user/tool) are trained on -4. Assistant messages use **actual vLLM tokens**, env responses use **tokenizer** - -### Tokens from vLLM Responses - -**File**: `/home/felipemello/forge/verifiers/verifiers/utils/processing_utils.py` (lines 38-52) - -```python -def parse_chat_completion_tokens(chat_completion: ChatCompletion) -> list[int]: - """Parses the output token ids from vLLM chat completion.""" - tokens = [ - # tokens are token_id: because we request `return_tokens_as_token_ids` from vllm - int(token.token.split(":")[-1]) - for token in chat_completion.choices[0].logprobs.content - ] - return tokens -``` - -**Critical**: Uses **vLLM's exact generated tokens**, which are in `choices[0].logprobs.content`. - ---- - -## 4. How Tokens After EOS Are Handled - -### The KEY Finding - -**Prime-RL does NOT check or strip tokens after EOS in responses.** - -Let me trace through what happens: - -#### In RL (verifiers library): - -1. **vLLM generates response** with tokens (may include EOS) -2. **parse_chat_completion_tokens()** extracts ALL tokens from `logprobs.content` - - This includes the EOS token if generated - - **NO filtering or stripping** of tokens after EOS -3. **completion_mask** is set to `[1] * len(completion_turn_ids)` for assistant messages - - ALL assistant tokens (including and after EOS) have mask=1 -4. These tokens are added to `completion_ids` and `completion_mask` - -#### In SFT: - -1. **apply_chat_template()** returns full token sequence -2. **Manually appends EOS** if not present -3. **NO suffix stripping** - No code checks for or removes tokens after EOS -4. **loss_mask[EOS] = True** - EOS token is trained on -5. Assertion ensures EOS is in target_ids, but doesn't check uniqueness or position - -### What This Means - -**If vLLM generates tokens after EOS** (e.g., padding, extra tokens): -- ✅ Those tokens ARE included in `completion_ids` -- ✅ Those tokens ARE included in `completion_mask` with value `1` -- ✅ Those tokens WILL contribute to the loss -- ❌ There is NO check or warning about suffix length -- ❌ There is NO stripping of post-EOS tokens - -**This is fundamentally different from Forge's approach**, which: -- Checks for tokens after EOS -- Strips suffix tokens after EOS -- Validates suffix length - ---- - -## 5. Multi-Turn Conversation Example - -Let's trace a 2-turn conversation: - -### Messages -```python -prompt = [ - {"role": "user", "content": "Hello"} -] -completion = [ - {"role": "assistant", "content": "Hi there!"}, - {"role": "user", "content": "How are you?"}, - {"role": "assistant", "content": "I'm good!"} -] -``` - -### SFT Processing - -**Step 1**: Tokenize `[user: "Hello"]` -- Tokens: `[<|im_start|>user\nHello<|im_end|><|im_start|>assistant\n]` -- Mask: `[False, False, False, ..., False]` (all user + assistant header) - -**Step 2**: Tokenize `[user: "Hello", assistant: "Hi there!"]` -- New tokens: `[Hi, there, !, <|im_end|>]` -- Mask extends: `[True, True, True, True]` (assistant message) - -**Step 3**: Tokenize `[..., user: "How are you?"]` -- New tokens: `[<|im_start|>user\nHow, are, you, ?, <|im_end|><|im_start|>assistant\n]` -- Mask extends: `[False, False, ..., False]` (user + assistant header) - -**Step 4**: Tokenize `[..., assistant: "I'm good!"]` -- New tokens: `[I, 'm, good, !, <|im_end|>]` -- Mask extends: `[True, True, True, True, True]` (assistant message) - -**Final**: -- `input_ids`: All tokens except last -- `target_ids`: All tokens except first -- `loss_mask`: Only True for assistant content (not headers, not user) - -### RL Processing (verifiers) - -**Prompt tokenization**: -```python -prompt_ids = tokenizer.apply_chat_template( - [{"role": "user", "content": "Hello"}], - add_generation_prompt=True # Adds assistant header -) -prompt_mask = [0] * len(prompt_ids) -``` - -**Turn 1** (assistant): -```python -# Use vLLM response object -response = state["responses"][0] -completion_ids = parse_chat_completion_tokens(response) # [Hi, there, !, <|im_end|>] -completion_mask = [1, 1, 1, 1] -completion_logprobs = parse_chat_completion_logprobs(response) -``` - -**Turn 2** (user): -```python -# Incremental tokenization -prefix = tokenizer.apply_chat_template( - [{"role": "user", "content": "Hello"}, {"role": "assistant", "content": "Hi there!"}], - add_generation_prompt=False -) -prefix_with_turn = tokenizer.apply_chat_template( - [..., {"role": "user", "content": "How are you?"}], - add_generation_prompt=True # Adds next assistant header -) -new_tokens = prefix_with_turn[len(prefix):] # User message + assistant header -completion_ids.extend(new_tokens) -completion_mask.extend([1] * len(new_tokens)) # or [0] if mask_env_responses=True -completion_logprobs.extend([0.0] * len(new_tokens)) -``` - -**Turn 3** (assistant): -```python -response = state["responses"][1] -completion_ids.extend(parse_chat_completion_tokens(response)) # [I, 'm, good, !, <|im_end|>] -completion_mask.extend([1, 1, 1, 1, 1]) -completion_logprobs.extend(parse_chat_completion_logprobs(response)) -``` - ---- - -## 6. Comparison with Forge - -| Aspect | Prime-RL | Forge | -|--------|----------|-------| -| **Mask Creation** | Incremental tokenization with chat template | Base anchor + response mask | -| **EOS Handling** | Ensures EOS present, NO suffix stripping | Checks and strips tokens after EOS | -| **Suffix Validation** | None | Validates suffix_len <= max_suffix_len | -| **Multi-turn** | Native support via incremental tokenization | Handles via base anchors | -| **RL vs SFT** | Different codepaths (verifiers vs trainer) | Same masking logic | -| **vLLM Integration** | Uses vLLM response tokens directly | Tokenizes text responses | -| **Env Response Masking** | Configurable via `mask_env_responses` | Not directly supported | -| **Library Separation** | Mask logic in external `verifiers` lib | All in forge.data.common | - ---- - -## 7. Configuration Options - -### SFT Configuration - -```python -# In SFTDataConfig -loss_mask: LossMaskConfig = LossMaskConfig( - system=False, # Don't train on system messages - user=False, # Don't train on user messages - assistant=True, # Train on assistant messages - tool=False # Don't train on tool messages -) -``` - -### RL Configuration - -```python -# In OrchestratorConfig (via process_env_results_vllm) -mask_env_responses: bool = False # Whether to mask env responses (user/tool) -zero_truncated_completions: bool = False # Zero reward for truncated completions -mask_truncated_completions: bool = False # Mask loss for truncated completions -``` - ---- - -## 8. Key Files Reference - -### Prime-RL - -| File | Lines | Purpose | -|------|-------|---------| -| `/home/felipemello/forge/prime-rl/src/prime_rl/trainer/sft/data.py` | 226-255 | SFT loss mask creation (build_loss_mask) | -| `/home/felipemello/forge/prime-rl/src/prime_rl/trainer/sft/data.py` | 270-293 | EOS token handling in SFT | -| `/home/felipemello/forge/prime-rl/src/prime_rl/trainer/sft/config.py` | 36-42 | LossMaskConfig definition | -| `/home/felipemello/forge/prime-rl/src/prime_rl/orchestrator/scheduler.py` | 71-85 | RL entry point for processing | -| `/home/felipemello/forge/prime-rl/src/prime_rl/orchestrator/batch.py` | 21-64 | Rollout to training batch conversion | -| `/home/felipemello/forge/prime-rl/src/prime_rl/trainer/rl/data.py` | 13-23 | RL MicroBatch type definition | - -### Verifiers Library - -| File | Lines | Purpose | -|------|-------|---------| -| `/home/felipemello/forge/verifiers/verifiers/envs/environment.py` | 913-1007 | process_env_results_vllm main logic | -| `/home/felipemello/forge/verifiers/verifiers/utils/processing_utils.py` | 72-162 | process_chat_format_vllm (mask creation) | -| `/home/felipemello/forge/verifiers/verifiers/utils/processing_utils.py` | 38-69 | Token/logprob parsing from vLLM | -| `/home/felipemello/forge/verifiers/verifiers/types.py` | 135-147 | Rollout TypedDict definition | - ---- - -## 9. Critical Code Snippets - -### Incremental Tokenization Pattern (SFT) - -```python -# From prime-rl/src/prime_rl/trainer/sft/data.py:226-253 -messages = prompt + completion -loss_mask: list[bool] = [] -prev_ids, prev_len = [], 0 - -for i, message in enumerate(messages): - # Incrementally tokenize up to current message - cur_ids = tokenizer.apply_chat_template( - messages[: i + 1], - tools=tools, - add_generation_prompt=True if ( - message["role"] in ["user", "tool"] - and i + 1 < len(messages) - and messages[i + 1]["role"] == "assistant" - ) else False, - ) - - # Verify incremental consistency - assert prev_ids == cur_ids[:prev_len], "Incremental tokenization mismatch" - - # Extend mask based on message role - loss_mask.extend([should_mask(message, loss_mask_config)] * (len(cur_ids) - prev_len)) - prev_ids, prev_len = cur_ids, len(cur_ids) - -return loss_mask -``` - -### vLLM Token Extraction (RL) - -```python -# From verifiers/verifiers/utils/processing_utils.py:38-52 -def parse_chat_completion_tokens(chat_completion: ChatCompletion) -> list[int]: - """Parses the output token ids from vLLM chat completion.""" - tokens = [ - int(token.token.split(":")[-1]) # Parse "token_id:123" -> 123 - for token in chat_completion.choices[0].logprobs.content - ] - return tokens -``` - -### Env Response Masking (RL) - -```python -# From verifiers/verifiers/utils/processing_utils.py:120-155 -else: # user/tool case - # Collect consecutive non-assistant messages - consecutive_messages = [message] - j = i + 1 - while j < len(zipped) and zipped[j][0]["role"] != "assistant": - consecutive_messages.append(zipped[j][0]) - j += 1 - - # Get tokens for user/tool messages + assistant header - token_prefix = processing_class.apply_chat_template( - conversation=messages_consumed, - add_generation_prompt=False, - ) - token_prefix_with_turn = processing_class.apply_chat_template( - conversation=messages_consumed + consecutive_messages, - add_generation_prompt=True, # Include assistant header for next turn - ) - - completion_turn_ids = token_prefix_with_turn[len(token_prefix):] - - # Apply masking based on config - if mask_env_responses: - completion_turn_mask = [0] * len(completion_turn_ids) - else: - completion_turn_mask = [1] * len(completion_turn_ids) - - completion_turn_logprobs = [0.0] * len(completion_turn_ids) -``` - ---- - -## 10. Recommendations for Forge - -Based on this research, here are key differences to consider: - -### 1. EOS Token Handling -**Prime-RL**: Does NOT strip tokens after EOS -**Recommendation**: Forge's approach (stripping post-EOS tokens) is safer and more correct - -### 2. Incremental Tokenization -**Prime-RL**: Uses incremental chat template application with verification -**Recommendation**: Consider adopting this pattern for better multi-turn support - -### 3. Environment Response Masking -**Prime-RL**: Has explicit `mask_env_responses` flag -**Recommendation**: Useful feature to prevent training on environment feedback - -### 4. Separation of Concerns -**Prime-RL**: RL masking in separate `verifiers` library -**Recommendation**: Forge's unified approach in `forge.data.common` is simpler - -### 5. vLLM Integration -**Prime-RL**: Uses actual vLLM token IDs from responses -**Recommendation**: More accurate than re-tokenizing text, but requires vLLM - -### 6. Truncation Handling -**Prime-RL**: Has flags for `zero_truncated_completions` and `mask_truncated_completions` -**Recommendation**: Good pattern for handling incomplete generations - ---- - -## 11. Testing Evidence - -From `/home/felipemello/forge/prime-rl/tests/unit/train/sft/test_sft_dataset.py`: - -```python -def test_multiturn_loss_mask(): - dataset = Dataset.from_list([ - { - "prompt": [ - {"role": "system", "content": "System 0"}, - {"role": "user", "content": "Prompt 0"} - ], - "completion": [ - {"role": "assistant", "content": "Completion 0"}, - {"role": "user", "content": "Prompt 1"}, - {"role": "assistant", "content": "Completion 1"}, - ], - }, - ]) - tokenizer = AutoTokenizer.from_pretrained("PrimeIntellect/Qwen3-0.6B") - dataset = SFTDataset(dataset, tokenizer=tokenizer, max_examples=1) - sample = next(iter(dataset)) - print_sample(sample["input_ids"], sample["loss_mask"], tokenizer) -``` - -This test validates the multi-turn masking but does NOT test suffix handling. - ---- - -## Conclusion - -Prime-RL's approach to multi-turn masking is solid but **does NOT handle tokens after EOS**. This is a significant difference from Forge's approach and could lead to training on garbage tokens if vLLM generates extra tokens after EOS. - -The incremental tokenization pattern is elegant and robust for multi-turn conversations, but the lack of suffix validation is a potential issue. diff --git a/debug/refactoring/FINAL_CONSOLIDATED_PROPOSAL.md b/debug/refactoring/FINAL_CONSOLIDATED_PROPOSAL.md deleted file mode 100644 index 55fd2e43e..000000000 --- a/debug/refactoring/FINAL_CONSOLIDATED_PROPOSAL.md +++ /dev/null @@ -1,492 +0,0 @@ -# FINAL REFACTORING PROPOSAL: Consolidated Best Practices - -## Executive Summary -This document consolidates the best ideas from 10 iterative refactoring proposals for `apps/blackjack/main_v2.py`. The goal is to transform a 1987-line monolithic script into a clean, modular, production-ready codebase aligned with `apps/grpo/main.py` patterns. - -**Expected Outcomes:** -- Main file reduced from ~1987 lines to ~400 lines (80% reduction) -- Modular architecture with separate modules for environment, rollout, and token accumulation -- Configurable debug features for production use -- Clean, well-documented code matching grpo/main.py patterns - -## Phase 1: Critical Simplifications (Immediate Impact) - -### 1.1 Remove EnvironmentActor -**Problem:** Lines 1136-1156 implement an actor just to provide tokenizer access. -**Solution:** Get tokenizer directly and pass to rollout functions. - -```python -# In main(): -tokenizer = get_tokenizer(cfg.blackjack_env.model) -pad_id = tokenizer.pad_token_id or tokenizer.eos_token_id - -# Pass to rollouts: -async def continuous_rollouts(thread_id: int): - # Use tokenizer directly -``` - -**Impact:** Removes 20+ lines, eliminates unnecessary abstraction. - -### 1.2 Drastically Simplify simple_grpo_loss -**Problem:** 280 lines of debug metrics (lines 1214-1491), emergency dumps, excessive logging. -**Solution:** Keep only essential metrics and core loss computation. - -```python -def simple_grpo_loss( - logits: torch.Tensor, - input_ids: torch.Tensor, - loss_mask: torch.Tensor, - ref_logprobs: torch.Tensor, - advantages: torch.Tensor, - beta: float = 0.1, -) -> torch.Tensor: - """GRPO loss with next-token prediction and KL penalty.""" - # Create targets - targets = create_shifted_targets(input_ids, loss_mask) - logprobs = compute_logprobs(logits, targets, ignore_index=CROSS_ENTROPY_IGNORE_IDX) - - # KL divergence with stability clipping - logprob_diff = torch.clamp(ref_logprobs - logprobs, min=-20.0, max=20.0) - kl = torch.clamp(torch.exp(logprob_diff) - logprob_diff - 1, min=-10.0, max=10.0) - - # Policy loss - per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages - per_token_loss = -(per_token_policy_loss - beta * kl) - - # Per-sequence normalization - loss = ((per_token_loss * loss_mask).sum(dim=1) / loss_mask.sum(dim=1).clamp(min=1.0)).mean() - - # Essential metrics only - record_metric("loss/value", loss.item(), Reduce.MEAN) - record_metric("loss/kl_mean", (kl * loss_mask).sum() / loss_mask.sum(), Reduce.MEAN) - record_metric("loss/advantages_mean", advantages.mean().item(), Reduce.MEAN) - - return loss -``` - -**Impact:** 280 lines → 40 lines (85% reduction). Keep emergency dumps as optional config. - -### 1.3 Simplify Server Management -**Problem:** 150+ lines of over-engineered health checks, verbose logging (lines 1518-1680). -**Solution:** Simple startup with basic health check. - -```python -def start_servers(num_servers: int, base_port: int, game_name: str) -> list: - """Start OpenSpiel servers for rollout workers.""" - processes = [] - - for i in range(num_servers): - port = base_port + i - subprocess.run(["lsof", "-ti", f":{port}"], capture_output=True, stdout=subprocess.DEVNULL) - - proc = multiprocessing.Process(target=start_openspiel_server, args=(game_name, port)) - proc.start() - processes.append(proc) - - # Health check with timeout - time.sleep(2) - for i in range(num_servers): - port = base_port + i - for attempt in range(10): - try: - resp = requests.get(f"http://localhost:{port}/health", timeout=1) - if resp.status_code == 200: - break - except requests.RequestException: - if attempt == 9: - raise RuntimeError(f"Server on port {port} failed to start") - time.sleep(1) - - return processes -``` - -**Impact:** 150 lines → 30 lines (80% reduction). - -## Phase 2: Modular Architecture (Code Organization) - -### 2.1 Extract TokenAccumulator to Module -**Create:** `src/forge/data/token_accumulator.py` -**Move:** Lines 129-745 (TokenAccumulator class, ValidationMode, TruncationReason, EpisodeData) - -```python -# src/forge/data/token_accumulator.py -"""Token accumulation for multi-turn RL episodes using delta tokenization.""" - -from dataclasses import dataclass -from enum import Enum -import torch - -class ValidationMode(Enum): - STRICT = "strict" - WARN = "warn" - OFF = "off" - -class TruncationReason(Enum): - USER_TOO_LONG = "user_too_long" - ASSISTANT_TOO_LONG = "assistant_too_long" - -@dataclass -class EpisodeData: - token_ids: torch.Tensor - response_mask: torch.Tensor - logprobs: torch.Tensor - is_truncated: bool - truncation_reason: str | None = None - -class TokenAccumulator: - # ... (full implementation, simplified docstrings) -``` - -**Impact:** 600+ lines moved to dedicated module, main file much cleaner. - -### 2.2 Extract BlackjackEnv to Module -**Create:** `envs/blackjack_env/blackjack_env.py` -**Move:** Lines 752-914 (BlackjackEnv, EnvStepResult) - -```python -# envs/blackjack_env/blackjack_env.py -"""Blackjack environment for RL training.""" - -import re -from dataclasses import dataclass -from envs.openspiel_env import OpenSpielAction, OpenSpielEnv -from forge.observability.metrics import record_metric, Reduce - -@dataclass -class EnvStepResult: - observation: dict[str, str] - reward: float - done: bool - -class BlackjackEnv: - """Minimal Blackjack environment wrapper.""" - # ... (full implementation, simplified) -``` - -**Impact:** 160+ lines moved, cleaner separation of concerns. - -### 2.3 Extract Rollout Functions to Module -**Create:** `apps/blackjack/rollout.py` -**Move:** Lines 922-1113 (do_single_rollout, do_group_rollout) - -```python -# apps/blackjack/rollout.py -"""Rollout utilities for Blackjack GRPO training.""" - -import uuid -import torch -from envs.blackjack_env import BlackjackEnv -from forge.data.token_accumulator import TokenAccumulator, ValidationMode -# ... imports - -async def do_single_rollout(env, policy, tokenizer, max_seq_len, max_turns, messages, game_id=None): - """Play one game and return one Episode.""" - # ... (full implementation) -``` - -**Impact:** 190+ lines moved, rollout logic is reusable. - -## Phase 3: Data Model Simplification - -### 3.1 Simplify Episode Dataclass -**Current:** Two episode models (Episode, EpisodeData), 20 fields with complex defaults. -**Proposed:** Single, clean Episode model. - -```python -@dataclass -class Episode: - """Single episode for GRPO training.""" - episode_id: str - all_token_ids: torch.Tensor # [seq_len] - loss_mask: torch.Tensor # [seq_len], float - reward: float - - # Computed during rollout pipeline - ref_logprobs: torch.Tensor | None = None - advantage: float | None = None - - # Metadata - policy_version: int = 0 - is_truncated: bool = False - -# Type aliases (like grpo/main.py) -Group = list[Episode] -Policy = Generator -``` - -**Impact:** Clearer data model, aligned with grpo/main.py. - -### 3.2 Simplify BlackjackEnv Methods -**Changes:** -- Remove error_type distinction in `_parse_action` (return only HIT/STAND/INVALID) -- Consolidate reward computation into single method -- Remove metadata from EnvStepResult - -```python -def _parse_action(self, text: str) -> str: - """Extract action from tags. Returns HIT, STAND, or INVALID.""" - match = re.search(r"\s*(.*?)\s*", text, re.IGNORECASE | re.DOTALL) - if match: - answer = match.group(1).strip().upper() - return answer if answer in ["HIT", "STAND"] else "INVALID" - return "INVALID" - -def _compute_reward(self, env_reward: float, has_invalid: bool) -> float: - """Compute final reward with invalid action penalty.""" - base = 3.0 if env_reward > 0 else -1.0 - penalty = -10.0 if has_invalid else 0.0 - return base + penalty -``` - -**Impact:** Simpler, more maintainable environment code. - -## Phase 4: Clean Up Rollout and Training Loops - -### 4.1 Remove Excessive Debug Printing -**Problem:** Lines 1751-1781 print full episode details every rollout. -**Solution:** Conditional, minimal logging. - -```python -# In continuous_rollouts(): -if rollout_count % 100 == 0: # Only every 100 rollouts - ep = episodes[0] - print(f"[ROLLOUT {rollout_count}] Reward: {ep.reward:.2f}, Tokens: {len(ep.all_token_ids)}") -``` - -**Impact:** 95% reduction in console noise. - -### 4.2 Simplify Training Loop -**Changes:** -- Remove restart_tracer flag complexity -- Cleaner control flow with early continue -- Remove conditional logging - -```python -async def continuous_training(): - training_step = 0 - - while max_steps == -1 or training_step < max_steps: - t = Tracer("main_perf/continuous_training") - t.start() - - batch = await replay_buffer.sample.call_one(curr_policy_version=training_step) - if batch is None: - await asyncio.sleep(0.5) - t.stop() - continue - t.step("waiting_for_buffer") - - # Train - inputs, targets = batch - await trainer.train_step.call(inputs, targets) - training_step += 1 - t.step("train_step") - - # Update policy - await trainer.push_weights.call(training_step) - await policy.update_weights.fanout(training_step) - t.step("update_weights") - - # Clean up old weights - if training_step >= 2: - await drop_weights(training_step - 1) - - t.stop() - await mlogger.flush.call_one(training_step) -``` - -**Impact:** More readable, simpler control flow. - -### 4.3 Simplify Collate Function - -```python -def collate(batches: list[Group], pad_id: int) -> tuple[list[dict], list[dict]]: - """Collate episode batches into model inputs and targets.""" - inputs, targets = [], [] - - for batch in batches: - tokens = torch.nn.utils.rnn.pad_sequence( - [e.all_token_ids for e in batch], batch_first=True, padding_value=pad_id - ) - loss_mask = torch.nn.utils.rnn.pad_sequence( - [e.loss_mask for e in batch], batch_first=True, padding_value=0.0 - ) - ref_logprobs = torch.nn.utils.rnn.pad_sequence( - [e.ref_logprobs for e in batch], batch_first=True, padding_value=0.0 - ) - advantages = torch.tensor([e.advantage for e in batch]).unsqueeze(-1) - - inputs.append({"tokens": tokens}) - targets.append({ - "input_ids": tokens, - "loss_mask": loss_mask, - "ref_logprobs": ref_logprobs, - "advantages": advantages, - }) - - return inputs, targets -``` - -**Impact:** More concise, cleaner. - -## Phase 5: Polish and Production Readiness - -### 5.1 Add Configuration for Debug Features -**Add to config:** -```yaml -debug: - enabled: false - print_episodes: false - save_message_logs: false - validate_tokens: false - rollout_interval: 100 -``` - -**Use in code:** -```python -# Message logs (optional, saves memory) -message_log=accumulator.messages.copy() if cfg.debug.save_message_logs else None - -# Validation mode -validation_mode = ValidationMode.OFF if not cfg.debug.validate_tokens else ValidationMode.STRICT -``` - -### 5.2 Improve Documentation -**Add clear section headers:** -```python -# ============================================================================ -# Data Models -# ============================================================================ - -@dataclass -class Episode: - # ... - -# ============================================================================ -# Helper Actors -# ============================================================================ - -@dataclass -class ComputeAdvantages(ForgeActor): - # ... - -# ============================================================================ -# Training Functions -# ============================================================================ - -def collate(...): - # ... -``` - -**Add comprehensive docstrings:** -```python -def simple_grpo_loss(...) -> torch.Tensor: - """GRPO loss with next-token prediction and KL penalty. - - Implements Group Relative Policy Optimization (GRPO) loss: - L = -E[(π/π_old) * A - β * KL(π || π_ref)] - - Args: - logits: Model logits [batch_size, seq_len, vocab_size] - input_ids: Input token IDs [batch_size, seq_len] - loss_mask: Loss mask [batch_size, seq_len], 1.0 for trainable - ref_logprobs: Reference model log probs [batch_size, seq_len] - advantages: Advantages [batch_size, 1] - beta: KL penalty coefficient - - Returns: - Scalar loss value - """ -``` - -### 5.3 Clean Up Imports -Organize imports by category: -```python -# Standard library -import asyncio -import multiprocessing -# ... - -# Third-party -import torch -import torch.nn.functional as F -# ... - -# Forge imports -from forge.actors.generator import Generator -# ... - -# Local imports -from apps.blackjack.rollout import do_single_rollout -from envs.blackjack_env import BlackjackEnv -``` - -## Final File Structure - -After refactoring: -``` -apps/blackjack/ -├── main_v2.py (~400 lines - main training loop) -├── rollout.py (~200 lines - rollout functions) -└── qwen3_1_7b.yaml (config with debug section) - -envs/blackjack_env/ -├── __init__.py -└── blackjack_env.py (~150 lines - environment) - -src/forge/data/ -├── token_accumulator.py (~600 lines - token accumulation) -└── common.py (existing) -``` - -## Implementation Phases - -**Phase 1 (Immediate - 2 hours):** -1. Remove EnvironmentActor -2. Simplify simple_grpo_loss (remove debug metrics) -3. Simplify server management -4. Remove excessive debug printing - -**Phase 2 (Modularization - 3 hours):** -1. Extract TokenAccumulator to module -2. Extract BlackjackEnv to module -3. Extract rollout functions to module -4. Update imports - -**Phase 3 (Polish - 2 hours):** -1. Simplify Episode dataclass -2. Add configuration for debug features -3. Improve documentation and docstrings -4. Clean up imports and formatting - -## Metrics - -**Before:** -- Main file: 1987 lines -- Monolithic structure -- Excessive debug output -- No modularity - -**After:** -- Main file: ~400 lines (80% reduction) -- 4 focused modules (main, rollout, env, token_accumulator) -- Configurable debug features -- Production-ready -- Well-documented -- Aligned with grpo/main.py patterns - -## Risk Assessment - -**Low Risk:** -- Code movement to modules (no logic changes) -- Removing debug prints -- Documentation improvements - -**Medium Risk:** -- Simplifying simple_grpo_loss (removing metrics) - - Mitigation: Keep metrics configurable via debug.enabled flag -- Server management simplification - - Mitigation: Test thoroughly on target infrastructure - -**High Risk:** -- None (no core algorithm changes) diff --git a/debug/refactoring/OPEN_QUESTIONS.md b/debug/refactoring/OPEN_QUESTIONS.md deleted file mode 100644 index 786710a66..000000000 --- a/debug/refactoring/OPEN_QUESTIONS.md +++ /dev/null @@ -1,381 +0,0 @@ -# Open Questions for Refactoring Review - -This document lists questions and decisions that need to be addressed before implementing the refactoring proposals. - -## Architecture Decisions - -### Q1: TokenAccumulator Module Location -**Question:** Should `TokenAccumulator` live in `src/forge/data/token_accumulator.py` or somewhere else? - -**Options:** -1. `src/forge/data/token_accumulator.py` - Makes it available to all forge apps -2. `apps/blackjack/token_accumulator.py` - Keeps it local to blackjack -3. `envs/utils/token_accumulator.py` - Groups with environment utilities - -**Recommendation:** Option 1 (forge-level) - TokenAccumulator is a general-purpose utility for any multi-turn RL task, not blackjack-specific. - -**Decision needed:** ☐ - ---- - -### Q2: Server Management Module -**Question:** Should server management functions be extracted to a separate module? - -**Options:** -1. Keep in main_v2.py (after simplification, only ~30 lines) -2. Move to `envs/openspiel_env/server_utils.py` -3. Move to `apps/blackjack/server_utils.py` - -**Recommendation:** Option 2 - It's OpenSpiel-specific, not blackjack-specific. - -**Decision needed:** ☐ - ---- - -### Q3: Rollout Module Location -**Question:** Should rollout functions be in `apps/blackjack/rollout.py` or elsewhere? - -**Options:** -1. `apps/blackjack/rollout.py` - Keeps blackjack logic together -2. `apps/blackjack/main_v2.py` - Keep in main file (simpler) - -**Recommendation:** Option 1 - Separates rollout logic from main loop, makes testing easier. - -**Decision needed:** ☐ - ---- - -## Loss Function Questions - -### Q4: Debug Metrics in simple_grpo_loss -**Question:** How much debug logging should we keep in `simple_grpo_loss`? - -**Current state:** ~50 metrics, emergency dumps (280 lines) - -**Options:** -1. **Minimal:** 3-5 essential metrics only (loss, KL, advantages) -2. **Moderate:** 10-15 metrics (add logprobs stats, per-token stats) -3. **Configurable:** All metrics controlled by `cfg.debug.loss_metrics_verbose` flag - -**Recommendation:** Option 3 - Best of both worlds. Production uses minimal, debugging uses full. - -**Decision needed:** ☐ - ---- - -### Q5: Emergency Tensor Dumps -**Question:** Should we keep the emergency tensor dump feature that triggers on huge loss values? - -**Current state:** Lines 1432-1489 save all tensors to /tmp when loss > 1000 - -**Options:** -1. Remove completely - it's never triggered in practice -2. Keep but make configurable via `cfg.debug.emergency_dumps` -3. Keep and improve - save to a configured directory, add more context - -**Recommendation:** Option 2 - Useful for debugging edge cases, but should be opt-in. - -**Decision needed:** ☐ - ---- - -## Environment Questions - -### Q6: Invalid Action Penalty -**Question:** Should the -10 penalty for invalid actions be configurable? - -**Current state:** Hardcoded -10.0 penalty in `_compute_reward` - -**Options:** -1. Keep hardcoded - it's a reasonable default -2. Make configurable via `cfg.blackjack_env.invalid_action_penalty` -3. Remove penalty entirely - let the model learn without artificial penalties - -**Recommendation:** Option 2 - Different tasks may want different penalties. - -**Decision needed:** ☐ - ---- - -### Q7: System Prompt Location -**Question:** Should the system prompt be in the config file or in code? - -**Current state:** Hardcoded in main_v2.py (lines 1698-1720) - -**Options:** -1. Move to config YAML - easier to iterate on prompts -2. Keep in code - simpler, less indirection -3. Both - default in code, override via config - -**Recommendation:** Option 3 - Flexibility without losing simplicity. - -**Decision needed:** ☐ - ---- - -## Validation and Testing - -### Q8: TokenAccumulator Validation -**Question:** What should the default validation mode be? - -**Current state:** `ValidationMode.OFF` in production code - -**Options:** -1. `OFF` - No runtime cost, but harder to debug -2. `WARN` - Print warnings but don't fail -3. `STRICT` in development, `OFF` in production - -**Recommendation:** Option 3 - Use config to control: `cfg.blackjack_env.token_validation` - -**Decision needed:** ☐ - ---- - -### Q9: Message Log Storage -**Question:** Should message logs be stored in Episode objects by default? - -**Current state:** Always stored, can be large for long episodes - -**Options:** -1. Always store - useful for debugging -2. Never store - saves memory -3. Configurable via `cfg.debug.save_message_logs` - -**Recommendation:** Option 3 - Only store when debugging. - -**Decision needed:** ☐ - ---- - -## Performance Questions - -### Q10: Sequential vs Parallel Rollouts -**Question:** Should games within a group be run sequentially or in parallel? - -**Current state:** Sequential (one env per group, shared server) - -**Options:** -1. Keep sequential - Simpler, avoids race conditions -2. Make parallel - Faster, but need one server per game -3. Configurable - Let config decide based on infrastructure - -**Recommendation:** Option 1 - Blackjack games are fast enough that parallelism within a group doesn't matter. - -**Decision needed:** ☐ - ---- - -### Q11: Number of Rollout Threads -**Question:** What's the recommended number of rollout threads for blackjack? - -**Current state:** Configurable, each thread needs its own server - -**Options:** -1. Single thread (simpler, fewer servers) -2. Multiple threads (one per CPU core) -3. Document recommendation in config - -**Recommendation:** Option 3 - Add comment in config: `rollout_threads: 4 # One per CPU core` - -**Decision needed:** ☐ - ---- - -## Configuration Questions - -### Q12: Debug Configuration Defaults -**Question:** What should the default values be for debug configuration? - -**Proposed defaults:** -```yaml -debug: - enabled: false # Disable all debug features by default - print_episodes: false - save_message_logs: false - validate_tokens: false - emergency_dumps: false - rollout_interval: 100 - loss_metrics_verbose: false -``` - -**Are these reasonable?** ☐ - ---- - -### Q13: Backward Compatibility -**Question:** Should we maintain backward compatibility with existing checkpoints and configs? - -**Options:** -1. Yes - Add migration logic for old configs -2. No - Breaking change, update configs manually -3. Support both for one release, then deprecate - -**Recommendation:** Option 2 - This is internal research code, clean break is fine. - -**Decision needed:** ☐ - ---- - -## Metric Naming - -### Q14: Metric Naming Convention -**Question:** Should we standardize metric names? - -**Current state:** Inconsistent naming (`groups/rate_dropped`, `buffer/episodes_accepted`, etc.) - -**Proposed convention:** -``` -loss/* - Loss function metrics -episode/* - Per-episode metrics -rollout/* - Rollout loop metrics -buffer/* - Replay buffer metrics -game/* - Game environment metrics -policy/* - Policy-related metrics -ref_model/* - Reference model metrics -``` - -**Should we enforce this?** ☐ - ---- - -## Module Organization - -### Q15: File Naming Convention -**Question:** Should we rename `main_v2.py` after refactoring? - -**Options:** -1. Keep as `main_v2.py` -2. Rename to `main.py` (deprecate old main_v2.py) -3. Rename to `grpo_main.py` for clarity - -**Recommendation:** Option 1 - Less disruption, clear that it's the second iteration. - -**Decision needed:** ☐ - ---- - -### Q16: Import Organization -**Question:** Should we use absolute or relative imports in the new modules? - -**Example:** -```python -# Absolute -from forge.data.token_accumulator import TokenAccumulator - -# Relative -from ...data.token_accumulator import TokenAccumulator -``` - -**Recommendation:** Absolute imports - More explicit, easier to understand. - -**Decision needed:** ☐ - ---- - -## Testing and Validation - -### Q17: Testing Strategy -**Question:** What level of testing should we add during refactoring? - -**Options:** -1. No tests - Just ensure existing code runs -2. Unit tests for extracted modules (TokenAccumulator, BlackjackEnv) -3. Integration test for full training loop -4. All of the above - -**Recommendation:** Option 2 - Unit tests for new modules, smoke test for main loop. - -**Decision needed:** ☐ - ---- - -### Q18: Regression Testing -**Question:** How do we verify the refactored code produces the same results? - -**Options:** -1. Visual inspection - Run both versions, compare metrics -2. Automated comparison - Save outputs, assert equality -3. Don't validate - Trust the refactoring - -**Recommendation:** Option 1 - Run a few short training runs, compare loss curves. - -**Decision needed:** ☐ - ---- - -## Implementation Questions - -### Q19: Implementation Order -**Question:** Which phase should we implement first? - -**Proposed order:** -1. Phase 1: Critical simplifications (biggest impact, lowest risk) -2. Phase 2: Modular architecture (structural changes) -3. Phase 3: Polish and documentation - -**Is this the right order?** ☐ - ---- - -### Q20: Rollback Strategy -**Question:** What if the refactoring breaks something? - -**Options:** -1. Keep old main_v2.py as main_v2_old.py backup -2. Use git branches - feature branch for refactoring -3. Just commit frequently to main - -**Recommendation:** Option 2 - Git branch is the right tool for this. - -**Decision needed:** ☐ - ---- - -## Additional Considerations - -### Q21: Documentation Updates -**Question:** What documentation needs to be updated? - -**Items:** -- [ ] Update usage comment at top of file -- [ ] Update README for blackjack app -- [ ] Add docstrings to new modules -- [ ] Update config file comments - -**All of these?** ☐ - ---- - -### Q22: Alignment with Future Changes -**Question:** Are there any upcoming changes to grpo/main.py that we should align with? - -**Action needed:** Review recent commits to grpo/main.py for patterns to adopt. - -**Decision needed:** ☐ - ---- - -## Summary of Decisions Needed - -**High Priority (blocking refactoring):** -- Q4: Debug metrics level in loss function -- Q5: Emergency dump feature -- Q8: TokenAccumulator validation default -- Q9: Message log storage - -**Medium Priority (affects architecture):** -- Q1: TokenAccumulator location -- Q2: Server management module -- Q3: Rollout module location - -**Low Priority (nice to have):** -- Q6: Invalid action penalty configurability -- Q7: System prompt location -- Q14: Metric naming standardization -- Q15: File renaming - -**For Documentation:** -- Q21: Documentation updates -- Q12: Debug config defaults - -Please review and provide decisions on at least the high-priority questions before beginning implementation. diff --git a/debug/refactoring/proposal_01_initial_cleanup.md b/debug/refactoring/proposal_01_initial_cleanup.md deleted file mode 100644 index 2112a5d1f..000000000 --- a/debug/refactoring/proposal_01_initial_cleanup.md +++ /dev/null @@ -1,117 +0,0 @@ -# Refactoring Proposal 01: Initial Cleanup - -## Overview -This first proposal focuses on removing obvious dead code, excessive debug logging, and simplifying the most over-engineered components. The goal is to reduce file size by ~30% while maintaining all core functionality. - -## Key Changes - -### 1. Remove EnvironmentActor - Pass Tokenizer Directly -The `EnvironmentActor` (lines 1136-1156) exists only to provide tokenizer access. This is unnecessary overhead. - -**Before:** -```python -@dataclass -class EnvironmentActor(ForgeActor): - model: str = "Qwen/Qwen3-1.7B" - - @endpoint - def setup(self): - self._tokenizer = get_tokenizer(self.model) - - @endpoint - async def get_tokenizer(self): - return self._tokenizer -``` - -**After:** -```python -# In main(): -tokenizer = get_tokenizer(cfg.blackjack_env.model) - -# Pass directly to rollout: -async def continuous_rollouts(thread_id: int, tokenizer): - # Use tokenizer directly, no actor needed -``` - -### 2. Drastically Simplify simple_grpo_loss -Currently 280 lines (1214-1491), mostly debug metrics. Keep only essential metrics. - -**Before:** 50+ metric recordings, emergency dumps, huge value detection -**After:** ~40 lines with core loss computation + 5-6 essential metrics - -```python -def simple_grpo_loss( - logits: torch.Tensor, - input_ids: torch.Tensor, - loss_mask: torch.Tensor, - ref_logprobs: torch.Tensor, - advantages: torch.Tensor, - beta: float = 0.1, -) -> torch.Tensor: - """GRPO loss with next-token prediction.""" - targets = create_shifted_targets(input_ids, loss_mask) - logprobs = compute_logprobs(logits, targets, ignore_index=CROSS_ENTROPY_IGNORE_IDX) - - # KL with stability clipping - logprob_diff = torch.clamp(ref_logprobs - logprobs, min=-20.0, max=20.0) - kl = torch.clamp(torch.exp(logprob_diff) - logprob_diff - 1, min=-10.0, max=10.0) - - # Policy loss - per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages - per_token_loss = -(per_token_policy_loss - beta * kl) - - # Per-sequence normalization - loss = ((per_token_loss * loss_mask).sum(dim=1) / loss_mask.sum(dim=1).clamp(min=1.0)).mean() - - # Essential metrics only - record_metric("loss/value", loss.item(), Reduce.MEAN) - record_metric("loss/kl_mean", (kl * loss_mask).sum() / loss_mask.sum(), Reduce.MEAN) - record_metric("loss/advantages_mean", advantages.mean().item(), Reduce.MEAN) - - return loss -``` - -### 3. Simplify Server Management -Remove over-engineered health checks, multiple retry loops, and verbose logging. - -**Before:** 100+ lines of server startup with health checks, retry logic, process cleanup -**After:** -```python -def start_servers(num_servers: int, base_port: int, game_name: str): - """Start OpenSpiel servers for rollout workers.""" - processes = [] - for i in range(num_servers): - port = base_port + i - # Kill existing process if any - subprocess.run(["lsof", "-ti", f":{port}"], capture_output=True, text=True) - - proc = multiprocessing.Process( - target=start_openspiel_server, - args=(game_name, port) - ) - proc.start() - processes.append(proc) - - # Simple health check - time.sleep(2) # Give servers time to start - for i, port in enumerate(range(base_port, base_port + num_servers)): - requests.get(f"http://localhost:{port}/health", timeout=5) - - return processes -``` - -### 4. Remove Debug Prints from Rollout Loop -Lines 1751-1781 contain excessive debug printing every rollout. - -**Before:** Prints full episode details, all messages, decoded tokens -**After:** Conditional debug logging only when explicitly enabled via config - -### 5. Remove Dead Code -- `_show_colorized_tokens` (lines 529-534) - marked DEPRECATED -- Commented-out validation code (lines 720-744) - -## Impact -- **File size:** ~1987 lines → ~1400 lines (30% reduction) -- **Readability:** Significantly improved, less noise -- **Performance:** Negligible improvement (removed metrics are cheap) -- **Risk:** Low - only removing debug code, not changing logic diff --git a/debug/refactoring/proposal_02_extract_accumulator.md b/debug/refactoring/proposal_02_extract_accumulator.md deleted file mode 100644 index fae85ed2f..000000000 --- a/debug/refactoring/proposal_02_extract_accumulator.md +++ /dev/null @@ -1,146 +0,0 @@ -# Refactoring Proposal 02: Extract TokenAccumulator - -## Overview -Building on Proposal 01, this iteration focuses on moving the large `TokenAccumulator` class (400+ lines) to a separate module. This follows the single-responsibility principle and makes main_v2.py focus on the training loop logic. - -## Key Changes - -### 1. Move TokenAccumulator to Separate File -Create `src/forge/data/token_accumulator.py` with the full class implementation. - -**New File Structure:** -``` -src/forge/data/ -├── common.py (already exists) -├── token_accumulator.py (NEW) -└── ... -``` - -**In token_accumulator.py:** -```python -"""Token accumulation for multi-turn RL episodes. - -Handles incremental tokenization using delta tokenization against -a stable anchor conversation. -""" -from dataclasses import dataclass -from enum import Enum -import threading -import torch - -class ValidationMode(Enum): - STRICT = "strict" - WARN = "warn" - OFF = "off" - -class TruncationReason(Enum): - USER_TOO_LONG = "user_too_long" - ASSISTANT_TOO_LONG = "assistant_too_long" - MAX_NUM_TURNS = "max_num_turns" - -@dataclass -class EpisodeData: - """Episode data as tensors, ready for training.""" - token_ids: torch.Tensor - response_mask: torch.Tensor - logprobs: torch.Tensor - is_truncated: bool - truncation_reason: str | None = None - -class TokenAccumulator: - """Accumulate tokens for multi-turn RL episodes using vLLM tokens directly. - - See module docstring for delta tokenization strategy. - """ - # ... (full implementation) -``` - -**In main_v2.py:** -```python -from forge.data.token_accumulator import ( - TokenAccumulator, - ValidationMode, - TruncationReason, - EpisodeData, -) -``` - -### 2. Simplify TokenAccumulator Docstrings -The current docstring is 60+ lines. Move detailed examples to module-level docstring, keep class docstring concise. - -**Before (lines 162-223):** Massive docstring with examples -**After:** -```python -class TokenAccumulator: - """Accumulate tokens for multi-turn episodes with delta tokenization. - - Uses a stable anchor conversation to extract token deltas, avoiding - expensive re-tokenization. See module docstring for details. - - Args: - tokenizer: HF tokenizer with apply_chat_template - messages: Initial messages (must include system) - max_len: Maximum sequence length - eos_id: End-of-sequence token ID - thinking: Enable tags for Qwen - validation: Validation strictness - """ -``` - -### 3. Simplify show_messages Method -Currently has complex colorization logic. Make it simpler for debugging purposes. - -**Before:** Grouped token runs, color coding, character limits -**After:** -```python -def show_messages(self, show_tokens: bool = False) -> None: - """Show accumulated messages and optionally token-level details.""" - print("=" * 80) - print(f"TokenAccumulator: {len(self._tokens)}/{self.max_len} tokens") - trainable_count = sum(self._mask) - print(f"Trainable: {trainable_count}/{len(self._tokens)}") - print("=" * 80) - - for i, msg in enumerate(self.messages): - print(f"[{i}] {msg['role']:10s}: {msg['content'][:100]}...") - - if show_tokens: - # Simple token dump without complex colorization - for i in range(len(self._tokens)): - symbol = "✓" if self._mask[i] else "·" - print(f"{symbol} {self._tokens[i]}") - - print("=" * 80) -``` - -### 4. Remove Unused Validation -The prefix consistency check is disabled (lines 720-744). Remove it entirely. - -### 5. Clean Up BlackjackEnv -Move observation formatting logic to be more concise. - -**Before:** -```python -def _format_observation(self, observation) -> str: - player_total = observation.metadata.get("player_total", "?") - dealer_card = observation.metadata.get("dealer_card", "?") - dealer_str = "Ace" if dealer_card == 1 else str(dealer_card) - return f"Hand: {player_total}, Dealer: {dealer_str}" -``` - -**After:** -```python -def _format_observation(self, obs) -> str: - """Format game state as text.""" - player = obs.metadata.get("player_total", "?") - dealer = obs.metadata.get("dealer_card", "?") - dealer = "Ace" if dealer == 1 else str(dealer) - return f"Hand: {player}, Dealer: {dealer}" -``` - -## Impact -- **File size:** ~1400 lines → ~900 lines (additional 35% reduction) -- **Modularity:** Much better - token accumulation logic is now reusable -- **Testability:** TokenAccumulator can be unit tested independently -- **Readability:** Main file focuses on RL loop, not tokenization details -- **Risk:** Low - pure code movement, no logic changes diff --git a/debug/refactoring/proposal_03_simplify_models.md b/debug/refactoring/proposal_03_simplify_models.md deleted file mode 100644 index 95cd9dc6b..000000000 --- a/debug/refactoring/proposal_03_simplify_models.md +++ /dev/null @@ -1,171 +0,0 @@ -# Refactoring Proposal 03: Simplify BlackjackEnv and Episode Models - -## Overview -Building on Proposals 01-02, this iteration simplifies the BlackjackEnv class and consolidates the Episode data models. We align more closely with the original GRPO main.py structure. - -## Key Changes - -### 1. Simplify Episode Dataclass -Currently have two Episode-related classes (Episode, EpisodeData). The main Episode class is overly complex. - -**Before (lines 92-112):** -```python -@dataclass -class Episode: - # Required fields (no defaults) - episode_id: str - all_token_ids: torch.Tensor - response_mask: torch.Tensor - loss_mask: torch.Tensor - reward: float - - # Optional fields (with defaults) - task_name: str = "blackjack" - policy_version: int = 0 - is_truncated: bool = False - advantage: float | None = None - logprobs: torch.Tensor | None = None - ref_logprobs: torch.Tensor | None = None - metadata: dict[str, Any] = field(default_factory=dict) - message_log: list[dict[str, str]] | None = None -``` - -**After (aligned with grpo/main.py style):** -```python -@dataclass -class Episode: - """Single episode for GRPO training.""" - episode_id: str - all_token_ids: torch.Tensor # [seq_len] - loss_mask: torch.Tensor # [seq_len], float - reward: float - - # Computed during rollout pipeline - ref_logprobs: torch.Tensor | None = None - advantage: float | None = None - - # Metadata - policy_version: int = 0 - is_truncated: bool = False - - # Debug info (optional, can be dropped in production) - message_log: list[dict] | None = None -``` - -**Rationale:** We don't need `response_mask` AND `loss_mask`. The loss_mask is sufficient (it's the shifted version). Remove task_name (always blackjack). Simplify metadata. - -### 2. Simplify BlackjackEnv - Remove Excessive Metrics -The environment records too many granular metrics (lines 812-848). - -**Before:** -```python -if is_invalid: - self.has_invalid_action = True - action_name = "STAND" - record_metric("game/invalid_action_rate", 1, Reduce.MEAN) - - if error_type == "NO_TAGS": - print(f"[ENV] ⚠️ INVALID action: Missing tags!") - print(f"[ENV] Text: '{action_text}...'") - record_metric("game/missing_answer_tags", 1, Reduce.SUM) - elif error_type == "INVALID_CONTENT": - print(f"[ENV] ⚠️ INVALID action: Bad content in tags!") - print(f"[ENV] Text: '{action_text}...'") - record_metric("game/invalid_answer_content", 1, Reduce.SUM) - # ... more metrics -else: - record_metric("game/invalid_action_rate", 0, Reduce.MEAN) -``` - -**After:** -```python -if is_invalid: - self.has_invalid_action = True - action_name = "STAND" - record_metric("game/invalid_actions", 1, Reduce.SUM) -``` - -**Rationale:** One metric for invalid actions is enough. Debug prints can be removed (use proper logging if needed). - -### 3. Remove Penalty Logic from Environment -The -10 penalty for invalid actions (line 841) mixes reward shaping with environment logic. Move to reward computation. - -**Before:** -```python -if result.done: - reward = self._compute_reward(result.reward) - if self.has_invalid_action: - reward -= 10.0 - record_metric("game/invalid_action_penalty", 1, Reduce.SUM) -``` - -**After:** -```python -def _compute_reward(self, env_reward: float, has_invalid: bool) -> float: - """Compute final reward with penalty for invalid actions.""" - base_reward = 3.0 if env_reward > 0 else -1.0 - penalty = -10.0 if has_invalid else 0.0 - return base_reward + penalty -``` - -### 4. Simplify EnvStepResult -Remove metadata field - it's barely used. - -**Before:** -```python -@dataclass -class EnvStepResult: - observation: dict[str, str] - reward: float - done: bool - metadata: dict[str, Any] = field(default_factory=dict) -``` - -**After:** -```python -@dataclass -class EnvStepResult: - observation: dict[str, str] - reward: float - done: bool -``` - -### 5. Clean Up Action Parsing -The regex-based parsing is fine, but simplify the return type. - -**Before:** -```python -def _parse_action(self, text: str) -> tuple[str, str]: - """Returns: (action, error_type)""" - # ... parsing logic - if match: - answer = match.group(1).strip().upper() - if answer == "HIT": - return ("HIT", "") - elif answer == "STAND": - return ("STAND", "") - else: - return ("INVALID", "INVALID_CONTENT") - else: - return ("INVALID", "NO_TAGS") -``` - -**After:** -```python -def _parse_action(self, text: str) -> str: - """Extract action from tags. Returns HIT, STAND, or INVALID.""" - match = re.search(r"\s*(.*?)\s*", text, re.IGNORECASE | re.DOTALL) - if match: - answer = match.group(1).strip().upper() - return answer if answer in ["HIT", "STAND"] else "INVALID" - return "INVALID" -``` - -**Rationale:** We don't need to distinguish NO_TAGS vs INVALID_CONTENT for the core logic. This simplification makes the code cleaner. - -## Impact -- **Episode class:** 20 lines → 15 lines -- **BlackjackEnv:** Cleaner, less coupled to metrics -- **Readability:** Much improved, less noise -- **Alignment:** Closer to grpo/main.py style -- **Risk:** Low - simplifying without breaking functionality diff --git a/debug/refactoring/proposal_04_simplify_rollout.md b/debug/refactoring/proposal_04_simplify_rollout.md deleted file mode 100644 index df5309e72..000000000 --- a/debug/refactoring/proposal_04_simplify_rollout.md +++ /dev/null @@ -1,187 +0,0 @@ -# Refactoring Proposal 04: Simplify Rollout Logic and Debug Output - -## Overview -Building on Proposals 01-03, this iteration simplifies the rollout loop, removes excessive debug printing, and streamlines episode creation. - -## Key Changes - -### 1. Remove Verbose Debug Printing from Rollout Loop -Lines 1751-1781 print full episode details every rollout. This is excessive. - -**Before:** -```python -# ============ Debug: Print first episode ============ -if episodes: - ep = episodes[0] - print(f"\n{'='*80}") - print(f"[ROLLOUT {rollout_count}] Episode 0 Debug Info") - print(f"{'='*80}") - print(f"Reward: {ep.reward}, Truncated: {ep.is_truncated}, ...") - print(f"Total tokens: {len(ep.all_token_ids)}, ...") - print(f"\n--- Messages ---") - for i, msg in enumerate(ep.message_log): - # ... print all messages - print(f"\n--- Decoded all_token_ids ---") - decoded_text = tokenizer.decode(ep.all_token_ids.tolist()) - print(decoded_text) - print(f"{'='*80}\n") - print(f"\n--- decoded_response_text ---") - # ... more printing -``` - -**After:** -```python -# Conditional debug logging -if rollout_count % 100 == 0: # Only every 100 rollouts - ep = episodes[0] - print(f"[ROLLOUT {rollout_count}] Reward: {ep.reward:.2f}, " - f"Tokens: {len(ep.all_token_ids)}, Truncated: {ep.is_truncated}") -``` - -**Rationale:** Debug info should be occasional, not every iteration. Add a config flag `debug_rollouts` if needed. - -### 2. Simplify Episode Creation in do_single_rollout -The episode creation logic (lines 1046-1071) mixes tensor operations with metadata. - -**Before:** -```python -# Create loss_mask by shifting response_mask using torch.roll -loss_mask_tensor = torch.roll( - episode_data.response_mask, shifts=-1, dims=0 -).float() -loss_mask_tensor[-1] = 0.0 - -return Episode( - episode_id=game_id, - task_name="blackjack", - policy_version=policy_version, - is_truncated=episode_data.is_truncated, - all_token_ids=episode_data.token_ids, - response_mask=episode_data.response_mask, - loss_mask=loss_mask_tensor, - reward=final_reward, - logprobs=episode_data.logprobs, - message_log=accumulator.messages.copy(), - metadata={ - "truncation_reason": episode_data.truncation_reason, - "hit_max_turns": hit_max_turns, - "num_turns": turn_num, - "num_trainable_tokens": episode_data.response_mask.sum().item(), - **(result.metadata if "result" in locals() else {}), - }, -) -``` - -**After:** -```python -# Create loss_mask (shift response_mask by 1 for next-token prediction) -loss_mask = torch.roll(episode_data.response_mask, shifts=-1, dims=0).float() -loss_mask[-1] = 0.0 - -return Episode( - episode_id=game_id, - all_token_ids=episode_data.token_ids, - loss_mask=loss_mask, - reward=final_reward, - ref_logprobs=None, # Set later by ref model - advantage=None, # Set later by advantage computation - policy_version=policy_version, - is_truncated=episode_data.is_truncated, - message_log=accumulator.messages.copy() if debug_mode else None, -) -``` - -**Rationale:** Simpler, matches updated Episode dataclass from Proposal 03. - -### 3. Remove Redundant Metrics in Rollout -Lines 1037-1044 record per-episode metrics that are rarely useful. - -**Before:** -```python -if episode_data.truncation_reason: - record_metric( - f"episode/truncated_{episode_data.truncation_reason}", - 1, - Reduce.SUM, - ) -record_metric("episode/total_tokens", len(episode_data.token_ids), Reduce.MEAN) -record_metric("episode/turns", turn_num, Reduce.MEAN) -``` - -**After:** -```python -# Aggregate metrics only -record_metric("episode/truncation_rate", - 1 if episode_data.is_truncated else 0, - Reduce.MEAN) -record_metric("episode/avg_tokens", len(episode_data.token_ids), Reduce.MEAN) -``` - -### 4. Simplify Sequential Rollout Loop -The comment says "run games SEQUENTIALLY" but the code is unnecessarily verbose (lines 1728-1747). - -**Before:** -```python -# ============ Step 1: Create environments ============ -# Run games SEQUENTIALLY to avoid race conditions on shared server -# (each thread has its own server, but games within a thread share it) - -# ============ Step 2: Rollout group (SEQUENTIALLY) ============ -episodes = [] -for i in range(group_size): - env = BlackjackEnv(server_url=server_url) - game_id = f"game_{i}_{uuid.uuid4().hex[:8]}" - - episode = await do_single_rollout( - env=env, - policy=policy, - tokenizer=tokenizer, - max_seq_len=max_seq_len, - max_turns=max_turns, - messages=initial_messages, - game_id=game_id, - ) - episodes.append(episode) - -t.step("play_games") -``` - -**After:** -```python -# Rollout group (sequential to avoid server race conditions) -episodes = [ - await do_single_rollout( - env=BlackjackEnv(server_url), - policy=policy, - tokenizer=tokenizer, - max_seq_len=max_seq_len, - max_turns=max_turns, - messages=initial_messages, - game_id=f"game_{i}_{uuid.uuid4().hex[:8]}", - ) - for i in range(group_size) -] -t.step("play_games") -``` - -**Rationale:** More concise, equally clear. - -### 5. Remove Unused result.metadata -Since EnvStepResult.metadata was removed in Proposal 03, clean up references. - -**Before:** -```python -metadata={ - ..., - **(result.metadata if "result" in locals() else {}), -} -``` - -**After:** (removed) - -## Impact -- **Rollout loop:** Much cleaner, less verbose -- **Debug output:** Reduced by 95% (only occasional logging) -- **Code size:** Additional ~100 lines removed -- **Performance:** Slightly better (less string formatting/printing) -- **Risk:** Low - mostly removing debug code diff --git a/debug/refactoring/proposal_05_streamline_training.md b/debug/refactoring/proposal_05_streamline_training.md deleted file mode 100644 index da2bd3d0c..000000000 --- a/debug/refactoring/proposal_05_streamline_training.md +++ /dev/null @@ -1,259 +0,0 @@ -# Refactoring Proposal 05: Streamline Training Loop and Collate Function - -## Overview -Building on Proposals 01-04, this iteration focuses on the training loop and data collation. We align the collate function more closely with grpo/main.py while keeping the improvements from blackjack (loss_mask instead of padding_mask). - -## Key Changes - -### 1. Simplify Collate Function -Current implementation (lines 1163-1211) is more complex than needed. - -**Before:** -```python -def collate( - batches: list[list[Episode]], - pad_id: int, -) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: - """Collates a list of batches (groups) into inputs and targets.""" - inputs = [] - targets = [] - - for batch in batches: - # Stack all tensors (pad to max length in batch) - all_tokens = [e.all_token_ids for e in batch] - all_tokens = torch.nn.utils.rnn.pad_sequence( - all_tokens, batch_first=True, padding_value=pad_id - ) - - loss_masks = [e.loss_mask for e in batch] - loss_masks = torch.nn.utils.rnn.pad_sequence( - loss_masks, batch_first=True, padding_value=0.0 - ) - - ref_logprobs = [e.ref_logprobs for e in batch] - ref_logprobs = torch.nn.utils.rnn.pad_sequence( - ref_logprobs, batch_first=True, padding_value=0.0 - ) - - advantages = torch.tensor([e.advantage for e in batch]).unsqueeze(-1) - - input = {"tokens": all_tokens} - target = { - "input_ids": all_tokens, # For torch.roll in loss - "loss_mask": loss_masks, - "ref_logprobs": ref_logprobs, - "advantages": advantages, - } - - inputs.append(input) - targets.append(target) - - return inputs, targets -``` - -**After:** -```python -def collate( - batches: list[list[Episode]], - pad_id: int, -) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: - """Collate episode batches into model inputs and targets.""" - inputs, targets = [], [] - - for batch in batches: - # Pad sequences to max length in batch - tokens = torch.nn.utils.rnn.pad_sequence( - [e.all_token_ids for e in batch], - batch_first=True, - padding_value=pad_id, - ) - loss_mask = torch.nn.utils.rnn.pad_sequence( - [e.loss_mask for e in batch], - batch_first=True, - padding_value=0.0, - ) - ref_logprobs = torch.nn.utils.rnn.pad_sequence( - [e.ref_logprobs for e in batch], - batch_first=True, - padding_value=0.0, - ) - advantages = torch.tensor([e.advantage for e in batch]).unsqueeze(-1) - - inputs.append({"tokens": tokens}) - targets.append({ - "input_ids": tokens, - "loss_mask": loss_mask, - "ref_logprobs": ref_logprobs, - "advantages": advantages, - }) - - return inputs, targets -``` - -**Rationale:** More concise, single-pass construction of tensors. - -### 2. Simplify Continuous Training Loop -The training loop (lines 1875-1920) has unnecessary complexity around tracer restarts. - -**Before:** -```python -async def continuous_training(): - training_step = 0 - restart_tracer = True - - while max_steps == -1 or training_step < max_steps: - if restart_tracer: - t = Tracer("main_perf/continuous_training") - t.start() - restart_tracer = False - - batch = await replay_buffer.sample.call_one(curr_policy_version=training_step) - if batch is None: - if training_step > 2 and training_step % 5 == 0: - print(f"[TRAINING] Step {training_step}: Waiting for buffer...") - await asyncio.sleep(1.0) - else: - t.step("waiting_for_buffer") - print(f"[TRAINING] Step {training_step}: Starting training") - - inputs, targets = batch - await trainer.train_step.call(inputs, targets) - training_step += 1 - t.step("train_step") - - await trainer.push_weights.call(training_step) - t.step("push_weights") - - await policy.update_weights.fanout(training_step) - t.step("update_weights") - - if training_step >= 2: - await drop_weights(training_step - 1) - t.step("drop_weights") - - t.stop() - restart_tracer = True - - await mlogger.flush.call_one(training_step) -``` - -**After:** -```python -async def continuous_training(): - training_step = 0 - - while max_steps == -1 or training_step < max_steps: - t = Tracer("main_perf/continuous_training") - t.start() - - # Wait for buffer - batch = await replay_buffer.sample.call_one(curr_policy_version=training_step) - if batch is None: - await asyncio.sleep(0.5) - t.stop() - continue - t.step("waiting_for_buffer") - - # Train - inputs, targets = batch - await trainer.train_step.call(inputs, targets) - training_step += 1 - t.step("train_step") - - # Update policy - await trainer.push_weights.call(training_step) - await policy.update_weights.fanout(training_step) - t.step("update_weights") - - # Clean up old weights - if training_step >= 2: - await drop_weights(training_step - 1) - - t.stop() - await mlogger.flush.call_one(training_step) - - print(f"Training complete: {max_steps} steps") -``` - -**Rationale:** Simpler control flow, no restart_tracer flag needed. Use continue for early exit. - -### 3. Remove Conditional Logging in Training Loop -The conditional print (line 1891-1894) is noise. - -**Before:** -```python -if training_step > 2 and training_step % 5 == 0: - print(f"[TRAINING] Step {training_step}: Waiting for buffer...") -``` - -**After:** (removed - metrics already track this) - -### 4. Simplify Reference Model Call in Rollout -The padding logic (lines 1795-1820) can be more concise. - -**Before:** -```python -# ============ Step 4: Compute ref_model ============ -max_len = max(len(e.all_token_ids) for e in episodes) - -# Pad input_ids and loss_masks -padded_input_ids = [] -padded_loss_masks = [] - -for i, e in enumerate(episodes): - seq_len = len(e.all_token_ids) - pad_len = max_len - seq_len - - # Pad tokens - padded_tokens = F.pad(e.all_token_ids, (0, pad_len), value=pad_id) - padded_input_ids.append(padded_tokens) - - # Pad loss_mask - padded_mask = F.pad(e.loss_mask, (0, pad_len), value=0.0) - padded_loss_masks.append(padded_mask) - -input_ids = torch.stack(padded_input_ids) -loss_mask_batch = torch.stack(padded_loss_masks) - -# Call ref_model -ref_logprobs_padded = await ref_model.forward.route( - input_ids, return_logprobs=True, loss_mask=loss_mask_batch -) - -# Unpad and assign -for i, episode in enumerate(episodes): - seq_len = len(episode.all_token_ids) - episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] -``` - -**After:** -```python -# Compute reference logprobs (pad to batch max length) -input_ids = torch.nn.utils.rnn.pad_sequence( - [e.all_token_ids for e in episodes], - batch_first=True, - padding_value=pad_id, -) -loss_mask = torch.nn.utils.rnn.pad_sequence( - [e.loss_mask for e in episodes], - batch_first=True, - padding_value=0.0, -) - -ref_logprobs_padded = await ref_model.forward.route( - input_ids, return_logprobs=True, loss_mask=loss_mask -) - -# Assign unpadded logprobs to episodes -for i, ep in enumerate(episodes): - ep.ref_logprobs = ref_logprobs_padded[i, : len(ep.all_token_ids)] -``` - -**Rationale:** Use same padding utility as collate function. More concise. - -## Impact -- **Collate function:** 49 lines → 32 lines -- **Training loop:** More readable, simpler control flow -- **Ref model call:** Cleaner, reuses utilities -- **Code size:** Additional ~40 lines removed -- **Risk:** Low - mostly simplification, no logic changes diff --git a/debug/refactoring/proposal_06_simplify_servers.md b/debug/refactoring/proposal_06_simplify_servers.md deleted file mode 100644 index 41cbe659f..000000000 --- a/debug/refactoring/proposal_06_simplify_servers.md +++ /dev/null @@ -1,231 +0,0 @@ -# Refactoring Proposal 06: Consolidate Server Management and Cleanup - -## Overview -Building on Proposals 01-05, this iteration drastically simplifies server management, removes over-engineering, and consolidates utility functions. - -## Key Changes - -### 1. Drastically Simplify Server Startup -Current implementation (lines 1518-1584) is over-engineered with extensive health checks, retry logic, and error handling. - -**Before (~100 lines):** -```python -# Start one server per rollout thread to avoid race conditions -server_processes = [] -server_ports = [] - -for i in range(num_rollout_threads): - server_port = base_server_port + i - server_ports.append(server_port) - - # Clean up any existing server on this port - if kill_process_on_port(server_port): - print(f"Cleaned up existing server on port {server_port}") - - print(f"Starting OpenSpiel server {i} for game '{game_name}' on port {server_port}...") - server_process = multiprocessing.Process( - target=start_openspiel_server, args=(game_name, server_port) - ) - server_process.start() - server_processes.append(server_process) - -# Wait for all servers to be ready -print(f"Waiting for {num_rollout_threads} OpenSpiel servers to be ready...") -all_ready = True -for i, server_port in enumerate(server_ports): - server_ready = False - for attempt in range(30): # Try for 30 seconds per server - if not server_processes[i].is_alive(): - print(f"[ERROR] Server {i} process died unexpectedly!") - # ... error handling - all_ready = False - break - - try: - resp = requests.get( - f"http://localhost:{server_port}/health", - timeout=1, - proxies={"http": None, "https": None}, - ) - if resp.status_code == 200: - server_ready = True - print(f"✓ OpenSpiel server {i} ready on port {server_port} (took {attempt+1}s)") - break - except Exception as e: - # ... verbose error logging - time.sleep(1) - - if not server_ready: - # ... cleanup and error - raise RuntimeError(f"Failed to start all OpenSpiel servers") -``` - -**After (~30 lines):** -```python -def start_servers(num_servers: int, base_port: int, game_name: str) -> list: - """Start OpenSpiel servers for rollout workers.""" - processes = [] - - for i in range(num_servers): - port = base_port + i - - # Kill existing process if any - subprocess.run( - ["lsof", "-ti", f":{port}"], - capture_output=True, - stdout=subprocess.DEVNULL, - ) - - proc = multiprocessing.Process( - target=start_openspiel_server, - args=(game_name, port), - ) - proc.start() - processes.append(proc) - - # Simple health check with retry - time.sleep(2) # Give servers time to start - for i in range(num_servers): - port = base_port + i - for attempt in range(10): - try: - resp = requests.get(f"http://localhost:{port}/health", timeout=1) - if resp.status_code == 200: - break - except requests.RequestException: - if attempt == 9: - raise RuntimeError(f"Server on port {port} failed to start") - time.sleep(1) - - return processes - -# In main(): -server_processes = start_servers( - num_servers=num_rollout_threads, - base_port=cfg.blackjack_env.server_port, - game_name=cfg.blackjack_env.game_name, -) -``` - -**Rationale:** Remove excessive logging, simplify health checks, fail fast. If a server doesn't start in 10 seconds, something is wrong. - -### 2. Remove Server Testing Loop -The server testing loop (lines 1660-1680) duplicates the health check. - -**Before:** -```python -# ---- Test OpenSpiel servers ---- # -print("Testing OpenSpiel server connections...") -for i, server_port in enumerate(server_ports): - test_url = f"http://localhost:{server_port}" - test_env = OpenSpielEnv(base_url=test_url) - test_env._http.trust_env = False - try: - test_result = test_env.reset() - print(f"✓ Server {i} test successful (port {server_port}), ...") - test_env.close() - except Exception as e: - # ... verbose error handling - raise RuntimeError(f"OpenSpiel server {i} test failed: {e}") -``` - -**After:** (removed - health check is sufficient) - -### 3. Simplify kill_process_on_port -Current implementation (lines 66-84) is overly verbose. - -**Before:** -```python -def kill_process_on_port(port: int): - """Kill any process using the specified port.""" - result = subprocess.run( - ["lsof", "-ti", f":{port}"], - capture_output=True, - text=True, - timeout=5, - ) - if result.stdout.strip(): - pids = result.stdout.strip().split("\n") - for pid in pids: - try: - os.kill(int(pid), signal.SIGKILL) - print(f"[DEBUG] Killed existing process {pid} on port {port}") - except ProcessLookupError: - pass - time.sleep(0.5) - return True - return False -``` - -**After:** -```python -def kill_port(port: int): - """Kill any process using the specified port.""" - result = subprocess.run( - ["lsof", "-ti", f":{port}"], - capture_output=True, - text=True, - ) - for pid in result.stdout.strip().split("\n"): - if pid: - subprocess.run(["kill", "-9", pid], stderr=subprocess.DEVNULL) -``` - -**Rationale:** Simpler, no unnecessary logging, use kill command instead of os.kill. - -### 4. Move Server Functions to Separate Module (Optional) -Consider moving server-related functions to `envs/openspiel_env/server_utils.py` to keep main.py focused. - -**New file structure:** -```python -# envs/openspiel_env/server_utils.py -def start_openspiel_server(game_name: str, port: int): - """Start OpenSpiel server in background process.""" - # ... implementation - -def start_servers(num_servers: int, base_port: int, game_name: str): - """Start multiple OpenSpiel servers.""" - # ... implementation - -def shutdown_servers(processes: list): - """Shutdown OpenSpiel servers.""" - # ... implementation -``` - -**In main_v2.py:** -```python -from envs.openspiel_env.server_utils import start_servers, shutdown_servers -``` - -### 5. Simplify Server Shutdown -Current implementation (lines 1968-1977) is verbose. - -**Before:** -```python -print(f"Stopping {len(server_processes)} OpenSpiel servers...") -for i, server_process in enumerate(server_processes): - server_process.terminate() - server_process.join(timeout=2) - if server_process.is_alive(): - print(f"⚠ Server {i} didn't stop gracefully, killing...") - server_process.kill() - server_process.join(timeout=1) -print("✓ All OpenSpiel servers stopped") -``` - -**After:** -```python -# Shutdown servers -for proc in server_processes: - proc.terminate() - proc.join(timeout=2) - if proc.is_alive(): - proc.kill() -``` - -## Impact -- **Server management:** ~150 lines → ~50 lines (67% reduction) -- **Modularity:** Server logic can be extracted to separate module -- **Reliability:** Simpler code = fewer bugs -- **Startup time:** Faster (less verbose health checking) -- **Risk:** Low - simplifying overly defensive code diff --git a/debug/refactoring/proposal_07_extract_modules.md b/debug/refactoring/proposal_07_extract_modules.md deleted file mode 100644 index 0955ef52c..000000000 --- a/debug/refactoring/proposal_07_extract_modules.md +++ /dev/null @@ -1,225 +0,0 @@ -# Refactoring Proposal 07: Extract BlackjackEnv to Separate Module - -## Overview -Building on Proposals 01-06, this iteration extracts the BlackjackEnv class and related environment code to a dedicated module, following the pattern from grpo/main.py where environment logic is separate. - -## Key Changes - -### 1. Create New Module for Blackjack Environment -Create `envs/blackjack_env/blackjack_env.py` to house all blackjack-specific logic. - -**New file structure:** -``` -envs/ -├── openspiel_env/ -│ ├── __init__.py -│ ├── server/ -│ └── ... -└── blackjack_env/ (NEW) - ├── __init__.py - └── blackjack_env.py -``` - -**In envs/blackjack_env/blackjack_env.py:** -```python -"""Blackjack environment for RL training.""" -import re -from dataclasses import dataclass, field -from typing import Any - -from envs.openspiel_env import OpenSpielAction, OpenSpielEnv -from forge.observability.metrics import record_metric, Reduce - - -@dataclass -class EnvStepResult: - """Result from environment step.""" - observation: dict[str, str] - reward: float - done: bool - - -class BlackjackEnv: - """Blackjack environment wrapper. - - Responsibilities: - - Manage game state via OpenSpielEnv - - Parse actions from text ( tags) - - Compute rewards - """ - - def __init__(self, server_url: str): - self.server_url = server_url - self.client = OpenSpielEnv(base_url=server_url) - self.client._http.trust_env = False - self.turn_count = 0 - self.has_invalid_action = False - - def reset(self) -> str: - """Reset game and return initial observation text.""" - self.turn_count = 0 - self.has_invalid_action = False - result = self.client.reset() - return self._format_obs(result.observation) - - def step(self, action_text: str) -> EnvStepResult: - """Execute action and return next observation.""" - # Parse and execute action - action = self._parse_action(action_text) - if action == "INVALID": - self.has_invalid_action = True - action = "STAND" - record_metric("game/invalid_actions", 1, Reduce.SUM) - - action_id = 0 if action == "HIT" else 1 - result = self.client.step( - OpenSpielAction(action_id=action_id, game_name="blackjack") - ) - self.turn_count += 1 - - # Compute reward - if result.done: - reward = self._compute_reward(result.reward, self.has_invalid_action) - record_metric("game/win_rate", 1 if result.reward > 0 else 0, Reduce.MEAN) - else: - reward = 0.0 - - obs = {"role": "user", "content": ""} if result.done else { - "role": "user", - "content": self._format_obs(result.observation) - } - - return EnvStepResult(observation=obs, reward=reward, done=result.done) - - def close(self): - """Clean up.""" - self.client.close() - - def _format_obs(self, obs) -> str: - """Format game state as text.""" - player = obs.metadata.get("player_total", "?") - dealer = obs.metadata.get("dealer_card", "?") - dealer = "Ace" if dealer == 1 else str(dealer) - return f"Hand: {player}, Dealer: {dealer}" - - def _parse_action(self, text: str) -> str: - """Extract action from tags. Returns HIT, STAND, or INVALID.""" - match = re.search(r"\s*(.*?)\s*", text, re.IGNORECASE | re.DOTALL) - if match: - answer = match.group(1).strip().upper() - return answer if answer in ["HIT", "STAND"] else "INVALID" - return "INVALID" - - def _compute_reward(self, env_reward: float, has_invalid: bool) -> float: - """Compute final reward with penalty for invalid actions.""" - base_reward = 3.0 if env_reward > 0 else -1.0 - penalty = -10.0 if has_invalid else 0.0 - return base_reward + penalty -``` - -**In envs/blackjack_env/__init__.py:** -```python -from .blackjack_env import BlackjackEnv, EnvStepResult - -__all__ = ["BlackjackEnv", "EnvStepResult"] -``` - -**In main_v2.py:** -```python -from envs.blackjack_env import BlackjackEnv, EnvStepResult -``` - -### 2. Extract System Prompt to Config -The system prompt (lines 1698-1720) should be in the config, not hardcoded. - -**In qwen3_1_7b.yaml:** -```yaml -blackjack_env: - game_name: "blackjack" - server_port: 8000 - max_seq_len: 2048 - max_turns: 20 - system_prompt: | - You are an expert Blackjack player. - - GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - - RULES: - - Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value - - If you go over 21, you bust and lose immediately - - The dealer plays after you and must hit until reaching 17+ - - ACTIONS: - - HIT: Take another card (increases your hand total) - - STAND: Keep your current hand and end your turn - - WIN CONDITIONS: - - Your hand is closer to 21 than the dealer's final hand - - Dealer busts (goes over 21) and you don't - - You get exactly 21 - - IMPORTANT: You MUST output your action in the following format: - HIT or STAND -``` - -**In main_v2.py:** -```python -# In continuous_rollouts(): -initial_messages = [ - {"role": "system", "content": cfg.blackjack_env.system_prompt} -] -``` - -### 3. Create Rollout Utilities Module -Extract `do_single_rollout` and `do_group_rollout` to `apps/blackjack/rollout.py`. - -**In apps/blackjack/rollout.py:** -```python -"""Rollout utilities for Blackjack GRPO training.""" -import uuid -import torch -from envs.blackjack_env import BlackjackEnv -from forge.data.token_accumulator import TokenAccumulator, ValidationMode -from forge.observability.metrics import record_metric, Reduce -from vllm import SamplingParams - - -async def do_single_rollout( - env: BlackjackEnv, - policy, - tokenizer, - max_seq_len: int, - max_turns: int, - messages: list[dict], - game_id: str | None = None, -) -> Episode: - """Play one game and return one Episode.""" - # ... (full implementation) -``` - -**In main_v2.py:** -```python -from apps.blackjack.rollout import do_single_rollout, do_group_rollout -``` - -### 4. Simplify Main File Structure -With extractions, main_v2.py should have clear sections: - -```python -# main_v2.py structure after extractions: - -# Imports -# Episode dataclass -# ComputeAdvantages actor -# Loss function -# Utility functions (drop_weights, etc.) -# Main training loop (main function) -``` - -## Impact -- **Main file:** ~900 lines → ~400 lines (55% reduction from Proposal 05) -- **Modularity:** Environment, rollout, and token accumulation are separate, testable modules -- **Reusability:** BlackjackEnv can be used in other scripts -- **Configuration:** System prompt is configurable, not hardcoded -- **Code organization:** Much clearer separation of concerns -- **Risk:** Low - pure code movement, clear module boundaries diff --git a/debug/refactoring/proposal_08_align_patterns.md b/debug/refactoring/proposal_08_align_patterns.md deleted file mode 100644 index c1916abdf..000000000 --- a/debug/refactoring/proposal_08_align_patterns.md +++ /dev/null @@ -1,222 +0,0 @@ -# Refactoring Proposal 08: Align with GRPO Main.py Patterns - -## Overview -Building on Proposals 01-07, this iteration aligns the code structure and patterns more closely with grpo/main.py to maintain consistency across the codebase while keeping blackjack-specific improvements. - -## Key Changes - -### 1. Add Type Aliases for Clarity -Follow grpo/main.py pattern of defining type aliases. - -**In main_v2.py:** -```python -# Type aliases (like grpo/main.py) -Group = list[Episode] # Group of episodes for GRPO -Policy = Generator # Policy model for generation - -# Then use throughout: -async def compute_advantages(group: Group) -> list[float]: - """Compute advantages for a group of episodes.""" - # ... -``` - -### 2. Align ComputeAdvantages Actor -Current implementation is nearly identical to grpo/main.py. Make it exactly the same. - -**Before:** -```python -@dataclass -class ComputeAdvantages(ForgeActor): - """Compute advantages for a group of episodes.""" - - @endpoint - async def compute(self, group: list[Episode]) -> list[float]: - """Compute advantages using reward standardization.""" - rewards = torch.tensor([[e.reward for e in group]]) - mean = rewards.mean(1, keepdim=True) - std = rewards.std(1, keepdim=True) - advantages = (rewards - mean) / (std + 1e-4) - return advantages.squeeze(0).tolist() -``` - -**After (exactly match grpo/main.py):** -```python -@dataclass -class ComputeAdvantages(ForgeActor): - @endpoint - async def compute(self, group: Group) -> list[float]: - rewards = torch.tensor([[e.reward for e in group]]) - mean = rewards.mean(1, keepdim=True) - std = rewards.std(1, keepdim=True) - advantages = (rewards - mean) / (std + 1e-4) - return advantages.squeeze(0).tolist() -``` - -### 3. Standardize Async Function Signatures -Follow grpo/main.py's clean async function signatures. - -**Before:** -```python -async def do_single_rollout( - env: BlackjackEnv, - policy, - tokenizer, - max_seq_len: int, - max_turns: int, - messages: list[dict], - game_id: str | None = None, -) -> Episode: -``` - -**After (add type hints):** -```python -async def do_single_rollout( - env: BlackjackEnv, - policy: Policy, - tokenizer: Any, - max_seq_len: int, - max_turns: int, - messages: list[dict[str, str]], - game_id: str | None = None, -) -> Episode: -``` - -### 4. Unify Service Initialization Pattern -Current code initializes services differently than grpo/main.py. Align the pattern. - -**Before:** -```python -# First, initialize env_actor to get pad_id -env_actor = await EnvironmentActor.options(**cfg.actors.blackjack_env).as_actor(**env_actor_config) -pad_id = await env_actor.pad_token.call_one() - -# Create collate function with pad_id -collate_fn = partial(collate, pad_id=pad_id) - -# Now initialize remaining services -(policy, trainer, replay_buffer, compute_advantages, ref_model) = await asyncio.gather(...) -``` - -**After (get tokenizer directly, pass to collate):** -```python -# Get tokenizer for pad_id -tokenizer = get_tokenizer(cfg.blackjack_env.model) -pad_id = tokenizer.pad_token_id or tokenizer.eos_token_id -collate_fn = partial(collate, pad_id=pad_id) - -# Initialize all services together (like grpo/main.py) -(policy, trainer, replay_buffer, compute_advantages, ref_model) = await asyncio.gather( - Generator.options(**cfg.services.policy).as_service(**cfg.policy), - TitanTrainer.options(**cfg.actors.trainer).as_actor( - **cfg.trainer, loss=simple_grpo_loss - ), - ReplayBuffer.options(**cfg.actors.replay_buffer).as_actor( - **cfg.replay_buffer, collate=collate_fn - ), - ComputeAdvantages.options(**cfg.actors.compute_advantages).as_actor(), - ReferenceModel.options(**cfg.services.ref_model).as_service(**cfg.ref_model), -) -``` - -### 5. Align Drop Weights Function -Make it exactly match grpo/main.py. - -**Current in main_v2.py (lines 1494-1507):** -```python -async def drop_weights(version: int): - """Drop old weights from torchstore.""" - print(f"Dropping weights @ version {version}") - start_time = time.perf_counter() - prefix = get_param_prefix(version) - matching_keys = await ts.keys(prefix) - dcp_key = get_dcp_whole_state_dict_key(version) - if dcp_key in matching_keys: - dcp_handle = await ts.get(dcp_key) - dcp_handle.drop() - for key in matching_keys: - await ts.delete(key) - elapsed = time.perf_counter() - start_time - print(f"Dropped weights @ version {version}, took {elapsed:.2f} seconds") -``` - -**After (exactly match grpo/main.py lines 276-290):** -```python -async def drop_weights(version: int): - print(f"Dropping weights @ version {version}") - start_time = time.perf_counter() - prefix = get_param_prefix(version) - matching_keys = await ts.keys(prefix) - # TODO: once we have something like `get_meta()` in torchstore, we can just - # query the type of the object instead of relying on keys. - dcp_key = get_dcp_whole_state_dict_key(version) - if dcp_key in matching_keys: - dcp_handle = await ts.get(dcp_key) - dcp_handle.drop() - for key in matching_keys: - await ts.delete(key) - elapsed = time.perf_counter() - start_time - print(f"Dropped weights @ version {version}, took {elapsed:.2f} seconds") -``` - -### 6. Standardize Main Function Structure -Align the main() function structure with grpo/main.py. - -**Structure:** -```python -async def main(cfg: DictConfig): - """Main GRPO training loop with rollout and training processes.""" - - # ---- Extract config values ---- # - group_size = cfg.group_size - max_seq_len = cfg.blackjack_env.max_seq_len - max_turns = cfg.blackjack_env.max_turns - max_steps = cfg.trainer.training.steps or -1 - - # ---- Start environment servers ---- # - server_processes = start_servers(...) - - # ---- Global setups ---- # - provisioner = ... - mlogger = ... - - # ---- Setup services ---- # - tokenizer = get_tokenizer(cfg.blackjack_env.model) - pad_id = ... - (policy, trainer, replay_buffer, ...) = await asyncio.gather(...) - - # ---- Initialize torchstore ---- # - await ts.initialize(...) - - # ---- Warmup policy ---- # - # ... - - # ---- Core RL loops ---- # - async def continuous_rollouts(thread_id: int): - # ... - - async def continuous_training(): - # ... - - # ---- Run training ---- # - rollout_tasks = [...] - training_task = ... - - try: - await training_task - except KeyboardInterrupt: - # ... - finally: - # ... cleanup -``` - -### 7. Remove Multi-Threading Support (Simplify) -The original grpo/main.py has `rollout_threads` but simpler implementation. Blackjack has one thread per server which is over-engineered for a simple game. - -**Consideration:** For Blackjack, we could simplify to single rollout thread, or keep multiple but document why (parallel game collection). - -## Impact -- **Consistency:** Code patterns match grpo/main.py closely -- **Maintainability:** Easier to understand for developers familiar with grpo/main.py -- **Type safety:** Better type hints throughout -- **Service init:** Cleaner, no EnvironmentActor hack -- **Risk:** Low - mostly alignment, few logic changes diff --git a/debug/refactoring/proposal_09_polish.md b/debug/refactoring/proposal_09_polish.md deleted file mode 100644 index cfd673e3e..000000000 --- a/debug/refactoring/proposal_09_polish.md +++ /dev/null @@ -1,297 +0,0 @@ -# Refactoring Proposal 09: Polish and Documentation - -## Overview -Building on Proposals 01-08, this iteration focuses on polishing the code with better comments, consistent formatting, and removing any remaining cruft. This is the "final touches" pass. - -## Key Changes - -### 1. Add Clear Section Headers -Like grpo/main.py, use clear section separators. - -**Example:** -```python -# main_v2.py after refactoring - -# Copyright header... - -# Usage: python -m apps.blackjack.main_v2 --config apps/blackjack/qwen3_1_7b.yaml - -import asyncio -# ... imports - -# ============================================================================ -# Data Models -# ============================================================================ - -@dataclass -class Episode: - """Single episode for GRPO training.""" - # ... - -# Type aliases -Group = list[Episode] -Policy = Generator - -# ============================================================================ -# Helper Actors -# ============================================================================ - -@dataclass -class ComputeAdvantages(ForgeActor): - # ... - -# ============================================================================ -# Training Functions -# ============================================================================ - -def collate(batches: list[Group], pad_id: int) -> tuple[...]: - """Collate episode batches into model inputs and targets.""" - # ... - -def simple_grpo_loss(...) -> torch.Tensor: - """GRPO loss with next-token prediction and KL penalty.""" - # ... - -async def drop_weights(version: int): - """Drop old model weights from torchstore.""" - # ... - -# ============================================================================ -# Main Training Loop -# ============================================================================ - -async def main(cfg: DictConfig): - """Main GRPO training loop with rollout and training processes.""" - # ... - -if __name__ == "__main__": - @parse - def _main(cfg): - asyncio.run(main(cfg)) - - _main() -``` - -### 2. Improve Function Docstrings -Follow NumPy/Google docstring style consistently. - -**Before:** -```python -def collate( - batches: list[list[Episode]], - pad_id: int, -) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: - """Collates a list of batches (groups) into inputs and targets.""" -``` - -**After:** -```python -def collate( - batches: list[Group], - pad_id: int, -) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: - """Collate episode batches into model inputs and targets. - - Args: - batches: List of groups, where each group is a list of Episodes - pad_id: Padding token ID from tokenizer - - Returns: - Tuple of (inputs, targets) for training where: - - inputs: List of dicts with 'tokens' key [batch_size, seq_len] - - targets: List of dicts with 'input_ids', 'loss_mask', 'ref_logprobs', 'advantages' - """ -``` - -### 3. Add Inline Comments for Complex Logic -Clarify non-obvious operations. - -**Example in simple_grpo_loss:** -```python -def simple_grpo_loss( - logits: torch.Tensor, - input_ids: torch.Tensor, - loss_mask: torch.Tensor, - ref_logprobs: torch.Tensor, - advantages: torch.Tensor, - beta: float = 0.1, -) -> torch.Tensor: - """GRPO loss with next-token prediction and KL penalty. - - Implements Group Relative Policy Optimization (GRPO) loss: - L = -E[(π/π_old) * A - β * KL(π || π_ref)] - - Args: - logits: Model logits [batch_size, seq_len, vocab_size] - input_ids: Input token IDs [batch_size, seq_len] - loss_mask: Loss mask [batch_size, seq_len], 1.0 for trainable positions - ref_logprobs: Reference model log probabilities [batch_size, seq_len] - advantages: Advantages [batch_size, 1] - beta: KL penalty coefficient (default: 0.1) - - Returns: - Scalar loss value - """ - # Create targets by shifting input_ids for next-token prediction - targets = create_shifted_targets(input_ids, loss_mask) - - # Compute policy log probabilities (masked positions are 0.0) - logprobs = compute_logprobs(logits, targets, ignore_index=CROSS_ENTROPY_IGNORE_IDX) - - # KL divergence with numerical stability clipping (following VERL implementation) - logprob_diff = torch.clamp(ref_logprobs - logprobs, min=-20.0, max=20.0) - kl = torch.clamp(torch.exp(logprob_diff) - logprob_diff - 1, min=-10.0, max=10.0) - - # Policy gradient term - policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages - - # Combined loss (negative because we want to maximize) - per_token_loss = -(policy_loss - beta * kl) - - # Per-sequence normalization: average by each sequence's trainable token count - loss = ( - (per_token_loss * loss_mask).sum(dim=1) / loss_mask.sum(dim=1).clamp(min=1.0) - ).mean() - - # Essential metrics - record_metric("loss/value", loss.item(), Reduce.MEAN) - record_metric("loss/kl_mean", (kl * loss_mask).sum() / loss_mask.sum(), Reduce.MEAN) - record_metric("loss/advantages_mean", advantages.mean().item(), Reduce.MEAN) - - return loss -``` - -### 4. Clean Up Imports -Remove unused imports, organize by category. - -**Before:** -```python -import asyncio -import multiprocessing -import os -import signal -import subprocess -import threading -import time -import uuid -from dataclasses import dataclass, field -from enum import Enum -from functools import lru_cache, partial -from typing import Any, Optional - -import requests - -import torch -import torch.nn.functional as F -import torchstore as ts -# ... many more -``` - -**After:** -```python -# Standard library -import asyncio -import multiprocessing -import subprocess -import time -import uuid -from dataclasses import dataclass -from functools import partial -from typing import Any - -# Third-party -import requests -import torch -import torch.nn.functional as F -import torchstore as ts -from omegaconf import DictConfig -from vllm import SamplingParams -from vllm.transformers_utils.tokenizer import get_tokenizer - -# Forge imports -from forge.actors._torchstore_utils import get_dcp_whole_state_dict_key, get_param_prefix -from forge.actors.generator import Generator -from forge.actors.reference_model import ReferenceModel -from forge.actors.replay_buffer import ReplayBuffer -from forge.actors.trainer import TitanTrainer -from forge.controller.actor import ForgeActor -from forge.controller.provisioner import init_provisioner, shutdown -from forge.data.common import CROSS_ENTROPY_IGNORE_IDX -from forge.observability.metric_actors import get_or_create_metric_logger -from forge.observability.metrics import record_metric, Reduce -from forge.observability.perf_tracker import Tracer -from forge.types import LauncherConfig, ProvisionerConfig -from forge.util.config import parse -from forge.util.ops import compute_logprobs, create_shifted_targets - -# Local imports -from apps.blackjack.rollout import do_single_rollout -from envs.blackjack_env import BlackjackEnv -from envs.openspiel_env.server_utils import start_servers -``` - -### 5. Standardize Metric Names -Use consistent naming convention for all metrics. - -**Prefix conventions:** -- `loss/*` - Loss-related metrics -- `episode/*` - Episode-level metrics -- `buffer/*` - Replay buffer metrics -- `game/*` - Game environment metrics -- `main/*` - Main loop performance metrics - -**Example:** -```python -# Instead of inconsistent naming: -record_metric("groups/rate_dropped", ...) -record_metric("buffer/episodes_accepted", ...) -record_metric("main/continuous_rollouts/count_rollout_iterations", ...) - -# Use consistent naming: -record_metric("rollout/groups_dropped", ..., Reduce.SUM) -record_metric("buffer/episodes_accepted", ..., Reduce.SUM) -record_metric("rollout/iterations", ..., Reduce.SUM) -``` - -### 6. Add Type Hints Throughout -Ensure all functions have complete type hints. - -**Example:** -```python -def start_servers( - num_servers: int, - base_port: int, - game_name: str, -) -> list[multiprocessing.Process]: - """Start OpenSpiel servers for rollout workers.""" - # ... -``` - -### 7. Remove Redundant Comments -Remove obvious comments, keep insightful ones. - -**Before:** -```python -# Initialize TokenAccumulator with BASE anchor pattern -accumulator = TokenAccumulator(...) - -# Reset environment -initial_obs = env.reset() - -# Multi-turn loop -final_reward = 0.0 -``` - -**After:** -```python -accumulator = TokenAccumulator(...) -initial_obs = env.reset() -final_reward = 0.0 -``` - -## Impact -- **Readability:** Much improved with clear sections and good documentation -- **Maintainability:** Easier to understand and modify -- **Professionalism:** Code looks polished and production-ready -- **Onboarding:** New developers can understand the code faster -- **Risk:** Zero - only documentation and formatting changes diff --git a/debug/refactoring/proposal_10_production.md b/debug/refactoring/proposal_10_production.md deleted file mode 100644 index d514d31b8..000000000 --- a/debug/refactoring/proposal_10_production.md +++ /dev/null @@ -1,273 +0,0 @@ -# Refactoring Proposal 10: Performance and Production Readiness - -## Overview -This final proposal focuses on optimizations, configurability, and making the code production-ready. We add toggles for debug features and ensure the code can run efficiently in production. - -## Key Changes - -### 1. Add Debug Mode Configuration -Add a `debug` section to config to control verbose logging and debug features. - -**In qwen3_1_7b.yaml:** -```yaml -debug: - enabled: false # Master switch for debug features - print_episodes: false # Print episode details during rollout - save_message_logs: false # Save message logs in episodes - validate_tokens: false # Run token validation in accumulator - emergency_dumps: false # Save tensors on anomalous loss values - rollout_interval: 100 # Print rollout summary every N rollouts -``` - -**In main_v2.py:** -```python -async def continuous_rollouts(thread_id: int, tokenizer, debug_cfg): - """Main rollout loop.""" - # ... - - while not shutdown_event.is_set(): - # ... rollout logic - - # Conditional debug output - if debug_cfg.enabled and rollout_count % debug_cfg.rollout_interval == 0: - ep = episodes[0] - print(f"[ROLLOUT {rollout_count}] Reward: {ep.reward:.2f}, " - f"Tokens: {len(ep.all_token_ids)}") - - if debug_cfg.print_episodes: - # Verbose episode printing - # ... -``` - -### 2. Make TokenAccumulator Validation Configurable -Use config to control validation mode. - -**In config:** -```yaml -blackjack_env: - token_validation: "off" # "strict", "warn", or "off" -``` - -**In rollout code:** -```python -from forge.data.token_accumulator import ValidationMode - -# Map string to enum -validation_map = { - "strict": ValidationMode.STRICT, - "warn": ValidationMode.WARN, - "off": ValidationMode.OFF, -} -validation_mode = validation_map[cfg.blackjack_env.token_validation] - -accumulator = TokenAccumulator( - tokenizer=tokenizer, - messages=messages, - max_len=max_seq_len, - eos_id=tokenizer.eos_token_id, - validation=validation_mode, - thinking=False, -) -``` - -### 3. Make Message Logging Optional -Message logs are only needed for debugging. Make them optional to save memory. - -**In Episode creation:** -```python -return Episode( - episode_id=game_id, - all_token_ids=episode_data.token_ids, - loss_mask=loss_mask, - reward=final_reward, - # ... other fields - message_log=accumulator.messages.copy() if cfg.debug.save_message_logs else None, -) -``` - -### 4. Add Emergency Dump Toggle -The emergency dump feature (lines 1432-1489) should be configurable. - -**In simple_grpo_loss:** -```python -def simple_grpo_loss( - logits: torch.Tensor, - input_ids: torch.Tensor, - loss_mask: torch.Tensor, - ref_logprobs: torch.Tensor, - advantages: torch.Tensor, - beta: float = 0.1, - emergency_dumps: bool = False, # NEW parameter -) -> torch.Tensor: - """GRPO loss with next-token prediction and KL penalty.""" - # ... loss computation - - # Essential metrics - record_metric("loss/value", loss.item(), Reduce.MEAN) - record_metric("loss/kl_mean", (kl * loss_mask).sum() / loss_mask.sum(), Reduce.MEAN) - record_metric("loss/advantages_mean", advantages.mean().item(), Reduce.MEAN) - - # Emergency dump (only if enabled) - if emergency_dumps and abs(loss.item()) > 1000.0: - import datetime - timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S") - dump_file = f"/tmp/grpo_loss_debug_{timestamp}.pt" - torch.save({ - "logits": logits.cpu(), - "input_ids": input_ids.cpu(), - "loss_mask": loss_mask.cpu(), - "logprobs": logprobs.cpu(), - "ref_logprobs": ref_logprobs.cpu(), - "advantages": advantages.cpu(), - "kl": kl.cpu(), - "loss": loss.cpu(), - "beta": beta, - }, dump_file) - print(f"⚠️ HUGE LOSS DETECTED: {loss.item():.2f}") - print(f"Dumped tensors to: {dump_file}") - - return loss -``` - -**When creating trainer:** -```python -from functools import partial - -loss_fn = partial(simple_grpo_loss, emergency_dumps=cfg.debug.emergency_dumps) - -trainer = await TitanTrainer.options(**cfg.actors.trainer).as_actor( - **cfg.trainer, loss=loss_fn -) -``` - -### 5. Add Warmup Configuration -Make policy warmup configurable. - -**In config:** -```yaml -policy: - warmup_enabled: true - warmup_timeout: 120.0 - warmup_prompt: "Test prompt to warm up the model." -``` - -**In main:** -```python -# Warmup policy (configurable) -if cfg.policy.get("warmup_enabled", True): - print("Warming up policy with test generation...") - try: - test_response = await asyncio.wait_for( - policy.generate.route(cfg.policy.warmup_prompt), - timeout=cfg.policy.get("warmup_timeout", 120.0), - ) - print(f"✓ Policy ready") - except asyncio.TimeoutError: - raise RuntimeError("Policy warmup timed out") -``` - -### 6. Optimize Metric Recording -Group metrics into batches to reduce overhead. - -**Before:** -```python -record_metric("loss/value", loss.item(), Reduce.MEAN) -record_metric("loss/kl_mean", kl_mean, Reduce.MEAN) -record_metric("loss/advantages_mean", adv_mean, Reduce.MEAN) -``` - -**After (use context manager if available):** -```python -# Record all metrics at once -metrics = { - "loss/value": (loss.item(), Reduce.MEAN), - "loss/kl_mean": (kl_mean, Reduce.MEAN), - "loss/advantages_mean": (adv_mean, Reduce.MEAN), -} -for name, (value, reduce_op) in metrics.items(): - record_metric(name, value, reduce_op) -``` - -### 7. Add Graceful Degradation for Server Failures -Handle server failures more gracefully during long training runs. - -**In continuous_rollouts:** -```python -async def continuous_rollouts(thread_id: int, tokenizer, server_url: str): - """Main rollout loop with retry logic.""" - max_retries = 3 - - while not shutdown_event.is_set(): - try: - # ... rollout logic - except requests.RequestException as e: - # Server connection failed, retry - print(f"[Thread {thread_id}] Server error: {e}, retrying...") - await asyncio.sleep(5) - continue - except Exception as e: - # Unexpected error - print(f"[Thread {thread_id}] Unexpected error: {e}") - if cfg.debug.enabled: - import traceback - traceback.print_exc() - await asyncio.sleep(1) -``` - -### 8. Add Configuration Validation -Validate config at startup to catch errors early. - -**In main, before service initialization:** -```python -def validate_config(cfg: DictConfig): - """Validate configuration before training starts.""" - assert cfg.group_size > 1, "group_size must be > 1 for GRPO" - assert cfg.blackjack_env.max_seq_len > 0, "max_seq_len must be positive" - assert cfg.blackjack_env.max_turns > 0, "max_turns must be positive" - assert cfg.rollout_threads > 0, "rollout_threads must be positive" - - # Check beta value - beta = cfg.trainer.get("beta", 0.1) - if beta < 0 or beta > 1: - print(f"Warning: beta={beta} is unusual (typically 0.01-0.1)") - -async def main(cfg: DictConfig): - """Main GRPO training loop.""" - validate_config(cfg) - # ... rest of main -``` - -### 9. Add Checkpoint Saving Trigger -Add option to save checkpoints at intervals. - -**In config:** -```yaml -trainer: - checkpoint_interval: 100 # Save checkpoint every N steps - checkpoint_dir: "./checkpoints" -``` - -**In continuous_training:** -```python -if training_step % cfg.trainer.checkpoint_interval == 0: - # Trigger checkpoint save - # (Implementation depends on TitanTrainer interface) - print(f"Checkpoint saved at step {training_step}") -``` - -## Impact -- **Production readiness:** Code can run efficiently without debug overhead -- **Configurability:** All debug/production features are configurable -- **Performance:** Reduced overhead when debug features are disabled -- **Reliability:** Graceful error handling and validation -- **Memory:** Optional message logs save significant memory in production -- **Risk:** Low - mostly adding configuration flags, not changing core logic - -## Summary -After all 10 proposals, the code will be: -- **~60% smaller** (1987 lines → ~400 lines in main_v2.py) -- **Modular** (separate modules for env, rollout, token accumulator) -- **Clean** (no dead code, minimal debug noise) -- **Aligned** (matches grpo/main.py patterns) -- **Production-ready** (configurable debug features, validation, error handling) -- **Well-documented** (clear sections, docstrings, type hints) diff --git a/debug/response_mask_usage_analysis.md b/debug/response_mask_usage_analysis.md deleted file mode 100644 index 6e9ddcf8f..000000000 --- a/debug/response_mask_usage_analysis.md +++ /dev/null @@ -1,535 +0,0 @@ -# response_mask vs loss_mask: Final Design (torch.roll approach) - -Based on exploration of VERL, TRL, Prime-RL, and first-principles analysis. - ---- - -## TL;DR: The Final Design - -**No frameworks keep `targets` - it's pointless! Just `torch.roll(input_ids, -1)` at loss time.** - -### Episode Fields: -```python -@dataclass -class Episode: - all_token_ids: torch.Tensor # [seq_len] - All conversation tokens - response_mask: torch.Tensor # [seq_len] bool - Which tokens ARE responses - loss_mask: torch.Tensor # [seq_len] float - Which POSITIONS contribute to loss (0.0/1.0) - reward: float - # ... other fields ... -``` - -### Key Insight: -- `response_mask[i] = True` means token i IS a response token -- `loss_mask[i] = 1.0` means position i contributes to loss (predicts token i+1) -- **loss_mask is just response_mask shifted by 1!** - ---- - -## Part 1: loss_mask = response_mask Shifted by 1 - -### Simple Truth - -```python -# In do_single_rollout: -loss_mask_tensor = torch.roll(response_mask_tensor, shifts=-1, dims=0).float() -loss_mask_tensor[-1] = 0.0 # Last position should not train -``` - -**That's it!** No need for complex `finalize()` logic. - -### Why the EOS check is redundant - -You might think: "What if position i is EOS but position i+1 is a response?" - -**This can't happen in your code!** Because: -1. `add_assistant_response` only succeeds if response ends with EOS -2. After EOS, next message is ALWAYS user (response_mask=False) or end of sequence -3. So: `tokens[i] == EOS` → `response_mask[i+1] == False` (always!) - -**Therefore:** The EOS check in `finalize()` is redundant. Simple shift is sufficient. - ---- - -## Part 2: Utility Function for Target Creation - -Since we create targets in multiple places (loss function, ref model), use a utility: - -```python -def create_shifted_targets( - input_ids: torch.Tensor, - loss_mask: torch.Tensor | None = None, - ignore_index: int = CROSS_ENTROPY_IGNORE_IDX, -) -> torch.Tensor: - """ - Create next-token prediction targets using torch.roll. - Maintains same shape as input_ids. - - Args: - input_ids: [batch, seq_len] or [seq_len] - Input token IDs - loss_mask: [batch, seq_len] or [seq_len] - Trainable positions (bool or float) - If None, all positions are trainable - ignore_index: Value for masked positions (default: -100) - - Returns: - targets: Same shape as input_ids - targets[i] = input_ids[i+1] where trainable, else ignore_index - """ - # If no loss_mask provided, all positions trainable - if loss_mask is None: - loss_mask = torch.ones_like(input_ids, dtype=torch.float) - - if input_ids.dim() == 1: - # 1D case - targets = torch.roll(input_ids, shifts=-1, dims=0) - targets[-1] = ignore_index # Last position wraps, mask it - - # Apply loss_mask - targets = torch.where( - loss_mask.bool(), - targets, - torch.full_like(targets, ignore_index) - ) - else: - # 2D case (batched) - targets = torch.roll(input_ids, shifts=-1, dims=-1) - targets[:, -1] = ignore_index # Last position wraps, mask it - - # Apply loss_mask - targets = torch.where( - loss_mask.bool(), - targets, - torch.full_like(targets, ignore_index) - ) - - return targets -``` - -**Key benefit:** Positions with `target=ignore_index` get **automatic 0.0 logprob** from cross_entropy, no need to multiply by mask afterward! - ---- - -## Part 3: Update compute_logprobs - -Update `compute_logprobs` to take `targets` instead of `input_ids` and remove `align` parameter: - -```python -# In src/forge/util/ops.py - -def compute_logprobs( - logits: torch.Tensor, - targets: torch.Tensor, - temperature: float = 1.0, - ignore_index: int = CROSS_ENTROPY_IGNORE_IDX, -) -> torch.Tensor: - """ - Computes the log probabilities of target tokens given the model logits. - - Args: - logits: Model logits [batch, seq_len, vocab] - targets: Target token IDs [batch, seq_len] - temperature: Temperature for scaling - ignore_index: Positions with this value in targets are masked (get 0.0 logprob) - - Returns: - logprobs: [batch, seq_len] - Positions with ignore_index automatically get 0.0 - """ - scaled_logits = logits / temperature - scaled_logits_fp32 = scaled_logits.float() - - batch_size, seq_len, vocab_size = scaled_logits_fp32.shape - logprobs = -F.cross_entropy( - scaled_logits_fp32.reshape(-1, vocab_size), - targets.reshape(-1).long(), - reduction="none", - ignore_index=ignore_index, - ) - - return logprobs.reshape(batch_size, seq_len) -``` - ---- - -## Part 4: Loss Function with torch.roll - -### Updated simple_grpo_loss: - -```python -def simple_grpo_loss( - logits: torch.Tensor, # [b, seq_len, vocab] - input_ids: torch.Tensor, # [b, seq_len] - loss_mask: torch.Tensor, # [b, seq_len] - 0.0/1.0 float - ref_logprobs: torch.Tensor, - advantages: torch.Tensor, - beta: float = 0.1, -) -> torch.Tensor: - """ - GRPO loss with proper next-token prediction using torch.roll. - - Per-sequence normalization: Each sequence's loss is averaged by its own - trainable token count, then averaged across the batch. - - Args: - logits: Model logits [b, seq_len, vocab] - input_ids: Input token IDs [b, seq_len] - loss_mask: Loss mask [b, seq_len] - 1.0 for trainable positions - ref_logprobs: Reference logprobs [b, seq_len] - advantages: Advantages [b, 1] - beta: KL penalty - """ - # Create targets using utility function - targets = create_shifted_targets(input_ids, loss_mask) # [b, seq_len] - - # Compute policy logprobs (ignore_index automatically zeros masked positions) - logprobs = compute_logprobs( - logits, - targets, - ignore_index=CROSS_ENTROPY_IGNORE_IDX - ) # [b, seq_len] - masked positions already 0.0! - - # Note: ref_logprobs were computed the same way, so also have 0.0 at masked positions - - # KL divergence (masked positions are 0.0, so they don't contribute) - kl = torch.exp(ref_logprobs - logprobs) - (ref_logprobs - logprobs) - 1 - - # Policy loss - per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages - per_token_loss = -(per_token_policy_loss - beta * kl) # [b, seq_len] - - # Per-sequence normalization, then batch average - # .sum(dim=1) creates [b] where each element is sum for ONE sequence - # Each sequence averaged by its own trainable count - loss = ( - (per_token_loss * loss_mask).sum(dim=1) / loss_mask.sum(dim=1).clamp(min=1.0) - ).mean() # [b] → scalar - - return loss -``` - -**Important:** The loss computation IS per-sequence! -```python -per_token_loss = [batch, seq_len] # e.g., [8, 100] - -(per_token_loss * loss_mask).sum(dim=1) # → [8] (one value per sequence) -loss_mask.sum(dim=1) # → [8] (trainable count per sequence) -division # → [8] (average loss per sequence) -.mean() # → scalar (average across batch) -``` - -Each sequence contributes equally, regardless of length! - ---- - -## Part 5: Reference Model with torch.roll - -### Updated ReferenceModel.forward: - -```python -# In src/forge/actors/reference_model.py - -@endpoint -async def forward( - self, - input_ids: torch.Tensor, # [b, seq_len] - return_logprobs: bool, - loss_mask: torch.Tensor = None, # [b, seq_len] optional -) -> torch.Tensor: - """ - Args: - input_ids: Input token ids - return_logprobs: Whether to return logprobs - loss_mask: Optional mask for which positions to compute logprobs - """ - # Record metrics - record_metric("reference_perf/forward/count_forward_passes", 1, Reduce.SUM) - record_metric("reference_perf/forward/avg_sequence_length", input_ids.shape[1], Reduce.MEAN) - - t = Tracer("reference_perf/forward", timer="gpu", track_memory=True) - t.start() - self.engine.gc_handler.run(self.step) - t.step("garbage_collection") - - # Forward pass - model_parts = self.engine.model_parts - parallel_dims = self.engine.parallel_dims - input_ids = input_ids.to("cuda") - t.step("to_device") - - optional_context_parallel_ctx = None - - if self.engine.parallel_dims.pp_enabled: - raise NotImplementedError("PP not implemented yet") - else: - with self.engine.train_context(optional_context_parallel_ctx): - with self.engine.maybe_enable_amp: - with torch.inference_mode(): - logits = self.model(input_ids) - - self.step += 1 - if isinstance(logits, DTensor): - logits = logits.full_tensor() - t.step("forward") - - if not return_logprobs: - t.stop() - return logits - else: - # Create targets using utility function (loss_mask=None means all trainable) - targets = create_shifted_targets(input_ids, loss_mask) - - # Compute logprobs using updated compute_logprobs - logprobs = compute_logprobs( - logits, - targets, - ignore_index=CROSS_ENTROPY_IGNORE_IDX - ) - - t.step("compute_logprobs") - t.stop() - return logprobs -``` - ---- - -## Part 6: Update Episode and Collate - -### Episode Dataclass (UNCHANGED): - -```python -@dataclass -class Episode: - """Episode data for GRPO training.""" - - episode_id: str - all_token_ids: torch.Tensor # [seq_len] - All conversation tokens - response_mask: torch.Tensor # [seq_len] bool - Which tokens ARE responses - loss_mask: torch.Tensor # [seq_len] float - Which POSITIONS train (0.0/1.0) - reward: float - - # Optional fields - task_name: str = "blackjack" - policy_version: int = 0 - is_truncated: bool = False - advantage: float | None = None - logprobs: torch.Tensor | None = None # [seq_len] - ref_logprobs: torch.Tensor | None = None # [seq_len] - metadata: dict[str, Any] = field(default_factory=dict) - message_log: list[dict[str, str]] | None = None -``` - -### Collate Function (use loss_mask): - -```python -def collate( - batches: list[list[Episode]], - pad_id: int, -) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: - inputs = [] - targets_list = [] - - for batch in batches: - # Stack tokens - all_tokens = [e.all_token_ids for e in batch] - all_tokens = torch.nn.utils.rnn.pad_sequence( - all_tokens, batch_first=True, padding_value=pad_id - ) - - # Stack loss_mask - loss_masks = [e.loss_mask for e in batch] - loss_masks = torch.nn.utils.rnn.pad_sequence( - loss_masks, batch_first=True, padding_value=0.0 - ) - - # Stack ref_logprobs - ref_logprobs = [e.ref_logprobs for e in batch] - ref_logprobs = torch.nn.utils.rnn.pad_sequence( - ref_logprobs, batch_first=True, padding_value=0.0 - ) - - advantages = torch.tensor([e.advantage for e in batch]).unsqueeze(-1) - - # Create input and target dicts - input = {"tokens": all_tokens} - target = { - "input_ids": all_tokens, # For torch.roll in loss - "loss_mask": loss_masks, # Trainable positions - "ref_logprobs": ref_logprobs, - "advantages": advantages, - } - - inputs.append(input) - targets_list.append(target) - - return inputs, targets_list -``` - ---- - -## Part 7: Changes to do_single_rollout - -### REMOVE create_next_token_targets, ADD simple shift: - -```python -async def do_single_rollout( - env: BlackjackEnv, - policy, - tokenizer, - max_seq_len: int, - max_turns: int, - messages: list[dict], - game_id: str | None = None, -) -> Episode: - # ... existing rollout logic ... - - # At the end, convert to tensors: - all_tokens_tensor = torch.tensor( - accumulator.accumulated_tokens, dtype=torch.long - ) - response_mask_tensor = torch.tensor( - accumulator.response_mask, dtype=torch.bool - ) - - # CREATE loss_mask by shifting response_mask - loss_mask_tensor = torch.roll(response_mask_tensor, shifts=-1, dims=0).float() - loss_mask_tensor[-1] = 0.0 # Last position should not train - - logprobs_tensor = torch.tensor(accumulator.logprobs, dtype=torch.float) - - return Episode( - episode_id=game_id, - all_token_ids=all_tokens_tensor, - response_mask=response_mask_tensor, - loss_mask=loss_mask_tensor, # NEW! - reward=final_reward, - logprobs=logprobs_tensor, - ref_logprobs=None, # Filled in later - # ... rest of fields - ) -``` - -**DELETE the create_next_token_targets function entirely!** - ---- - -## Part 8: Update continuous_rollouts - -### Pass loss_mask to ref_model: - -```python -# In continuous_rollouts, before calling ref_model: - -# Pad input_ids and loss_masks to same length -max_len = max(len(e.all_token_ids) for e in episodes) - -padded_input_ids = [] -padded_loss_masks = [] - -for e in episodes: - seq_len = len(e.all_token_ids) - pad_len = max_len - seq_len - - # Pad tokens - padded_tokens = F.pad(e.all_token_ids, (0, pad_len), value=pad_id) - padded_input_ids.append(padded_tokens) - - # Pad loss_mask - padded_mask = F.pad(e.loss_mask, (0, pad_len), value=0.0) - padded_loss_masks.append(padded_mask) - -input_ids = torch.stack(padded_input_ids) # [batch, max_len] -loss_mask_batch = torch.stack(padded_loss_masks) # [batch, max_len] - -# Call ref_model with loss_mask -ref_logprobs_padded = await ref_model.forward.route( - input_ids, - return_logprobs=True, - loss_mask=loss_mask_batch # NEW! -) - -# Assign ref_logprobs to episodes (unpad to original length) -for i, episode in enumerate(episodes): - seq_len = len(episode.all_token_ids) - episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] -``` - ---- - -## Part 9: Summary of All Changes - -### Files to Edit: - -1. **`src/forge/util/ops.py`**: - - Add `ignore_index` parameter to `compute_logprobs` - - Add new utility function `create_shifted_targets` - -2. **`apps/blackjack/main_v2.py`**: - - **DELETE** `create_next_token_targets` function (lines 965-994) - - Update `do_single_rollout`: create loss_mask with simple shift - - Update `collate()`: pass loss_mask instead of response_mask - - Update `simple_grpo_loss()`: use `create_shifted_targets`, call `compute_logprobs` - - Update `continuous_rollouts`: pass loss_mask to ref_model - -3. **`src/forge/actors/reference_model.py`**: - - Update `forward()`: accept loss_mask, use `create_shifted_targets` and `compute_logprobs` - -4. **Update assertions** (lines 1331-1357): - - Simplify to: `assert len(ep.all_token_ids) == len(ep.loss_mask)` - -### New utility function location: - -Add to **`src/forge/util/ops.py`** (or `src/forge/data/common.py` if you prefer): - -```python -def create_shifted_targets( - input_ids: torch.Tensor, - loss_mask: torch.Tensor | None = None, - ignore_index: int = CROSS_ENTROPY_IGNORE_IDX, -) -> torch.Tensor: - """Create next-token prediction targets using torch.roll.""" - # If no loss_mask provided, all positions trainable - if loss_mask is None: - loss_mask = torch.ones_like(input_ids, dtype=torch.float) - - # ... (see Part 2 above) -``` - ---- - -## Part 10: Why This Design is Better - -### Comparison: - -| Aspect | Old Design | New Design | -|--------|-----------|------------| -| **Episode fields** | `targets` (redundant!) | No targets, just `loss_mask` | -| **loss_mask creation** | Complex finalize() logic | Simple shift: `torch.roll(mask, -1)` | -| **Shape changes** | Slicing changes shapes | torch.roll maintains shape | -| **Mask semantics** | Confusing response_mask | Clear loss_mask (shifted) | -| **Utility reuse** | Inline everywhere | `create_shifted_targets()` utility | -| **Auto-masking** | Manual `* loss_mask` | ignore_index auto-zeros | -| **compute_logprobs** | Takes input_ids with align | Takes targets, no align | - -### Benefits: - -1. **No redundant data**: Don't store targets, create on-the-fly -2. **Constant shapes**: All tensors stay [seq_len] throughout -3. **Simple loss_mask**: Just shift response_mask with `torch.roll`, no complex logic -4. **Utility function**: Reuse `create_shifted_targets` everywhere -5. **Auto-masking**: ignore_index makes masked positions 0.0 automatically -6. **Per-sequence normalization**: Each sequence contributes equally to loss -7. **Simplified API**: `compute_logprobs` takes targets directly, no align parameter -8. **Optional loss_mask**: `create_shifted_targets` handles None (all trainable) - ---- - -## Testing Checklist - -Run `python debug/test_loss_mask_torch_roll.py` and verify: - -1. ✅ torch.roll creates correct targets -2. ✅ loss_mask = response_mask shifted by 1 -3. ✅ Truncated responses have loss_mask=0.0 at last position -4. ✅ Shape is maintained ([seq_len] → [seq_len]) -5. ✅ Logprobs computation works correctly -6. ✅ Multi-turn example matches expected behavior -7. ✅ Per-sequence normalization in loss diff --git a/debug/rl_masking_research.md b/debug/rl_masking_research.md deleted file mode 100644 index f7071d70b..000000000 --- a/debug/rl_masking_research.md +++ /dev/null @@ -1,345 +0,0 @@ -# RL Library Multi-Turn Conversation Masking Research - -## Executive Summary - -The NVIDIA NeMo-RL library (located at `/home/felipemello/forge/RL/`) provides a comprehensive approach to handling multi-turn conversation masking for RL training. The library **does NOT perform explicit suffix stripping after EOS tokens** - instead, it relies on the chat template to handle EOS tokens correctly and creates loss masks based on message roles. - -## Key Findings - -### 1. Loss Mask Creation (`token_loss_mask`) - -The primary function for creating loss masks is `add_loss_mask_to_message_log()` located in: -- **File**: `/home/felipemello/forge/RL/nemo_rl/data/llm_message_utils.py` -- **Lines**: 141-176 - -**Code snippet:** -```python -def add_loss_mask_to_message_log( - batch_message_log: list[LLMMessageLogType], - roles_to_train_on: list[str] = ["assistant"], - only_unmask_final: bool = False, -) -> None: - """Add token-level loss masks to each message in a message log. - - Args: - message_log (LLMMessageLogType): List of message dictionaries containing token IDs and metadata - roles_to_train_on (list[str]): List of strings indicating which speakers to unmask. Default: ["assistant"] - only_unmask_final (bool): If True, only unmask the final message in the log. Default: False - """ - for i, role in enumerate(roles_to_train_on): - roles_to_train_on[i] = role.lower() - - for message_log in batch_message_log: - for i, message in enumerate(message_log): - if only_unmask_final: - if i == len(message_log) - 1: - message["token_loss_mask"] = torch.ones_like( - cast(Tensor, message["token_ids"]) - ) - else: - message["token_loss_mask"] = torch.zeros_like( - cast(Tensor, message["token_ids"]) - ) - else: - if message["role"] in roles_to_train_on: - message["token_loss_mask"] = torch.ones_like( - cast(Tensor, message["token_ids"]) - ) - else: - message["token_loss_mask"] = torch.zeros_like( - cast(Tensor, message["token_ids"]) - ) -``` - -**Key behavior:** -- Creates a `token_loss_mask` tensor that is `torch.ones_like(token_ids)` for assistant messages -- Creates a `token_loss_mask` tensor that is `torch.zeros_like(token_ids)` for non-assistant messages -- **ALL tokens in assistant messages are masked in (value=1), including any EOS tokens** -- No special handling for tokens after EOS - -**Usage locations:** -- SFT: `/home/felipemello/forge/RL/nemo_rl/algorithms/sft.py:265` -- DPO: `/home/felipemello/forge/RL/nemo_rl/algorithms/dpo.py:176` (with `add_loss_mask=True`) -- GRPO: `/home/felipemello/forge/RL/nemo_rl/algorithms/grpo.py:1080-1086` -- Distillation: `/home/felipemello/forge/RL/nemo_rl/algorithms/distillation.py:659-663` - -### 2. EOS Token Handling - -The library handles EOS tokens at the **chat template level** during tokenization, not during masking. - -**File**: `/home/felipemello/forge/RL/nemo_rl/data/llm_message_utils.py` -**Function**: `get_formatted_message_log()` -**Lines**: 443-659 - -**Key EOS handling code (lines 588-606):** -```python -if i == len(message_log_strs) - 1: - r""" - This is an attempt to robustly append the eos token. The origin is Qwen - chat templates always append \n and some models like gemma do not - use the at all in the chat template. Adding a if the is - already at the end, is likely a user error, and since we know Qwen likes to - have \n we'll check for that case. - - This makes the logic slightly more robust to the model family's chat template - so users don't need to know whether they need to add add_eos or not. - """ - stripped_message_chunk = message_chunk.rstrip("\n") - if add_eos_token: - if tokenizer.eos_token is None: - warnings.warn( - "add_eos_token is True but the tokenizer does not have an EOS token. Skipping EOS token addition." - ) - elif not stripped_message_chunk.endswith(tokenizer.eos_token): - message_chunk += tokenizer.eos_token -``` - -**Behavior:** -- EOS token is added to the **last message** in the conversation -- The code strips trailing newlines before checking if EOS is already present -- If the stripped message doesn't end with EOS, it appends `tokenizer.eos_token` -- This ensures EOS is present exactly once at the end - -### 3. Multi-Turn Generation: Handling Tokens After EOS - -**File**: `/home/felipemello/forge/RL/nemo_rl/models/generation/vllm/vllm_worker_async.py` -**Function**: `_replace_prefix_tokens()` -**Lines**: 40-121 - -This is the most sophisticated EOS handling in the codebase. It deals with multi-turn generation where previous turns may have EOS tokens. - -**Code snippet (lines 97-121):** -```python -eos_token_id = tokenizer.eos_token_id -assert eos_token_id is not None, "Your tokenizer must have an EOS token ID!" - -model_cut_end = len(model_prefix_token_ids) -if model_prefix_token_ids: - # We are not always guaranteed that the model outputs an EOS token as the stop criteria of the previous model call e.g. when the model reaches max_tokens. - # And since chat templates will always add one for us, we just cut the model input to right before the EOS token ID (if applicable) - if model_prefix_token_ids[-1] == eos_token_id: - model_cut_end -= 1 - -# We take everything starting with the EOS token ID. -template_cut_start = -1 -for pos in reversed(range(len(template_prefix_token_ids))): - if template_token_ids[pos] == eos_token_id: - template_cut_start = pos - break - -# This should never be the case, but -assert template_cut_start >= 0, ( - "No EOS token ID found in the chat-templated messages!" -) - -return ( - model_prefix_token_ids[:model_cut_end] + template_token_ids[template_cut_start:] -) -``` - -**Key behavior:** -- When continuing multi-turn generation, it finds the last EOS in the template -- If the model's previous output ended with EOS, it **cuts before that EOS** (`model_cut_end -= 1`) -- Then it appends everything from the template starting at the EOS position -- This ensures proper token alignment when the chat template re-tokenizes text differently - -**Test validation** (lines 1283-1301 in `/home/felipemello/forge/RL/tests/unit/models/generation/test_vllm_generation.py`): -```python -model_prefix_token_ids = og_model_token_ids[:-16] -assert model_prefix_token_ids[-1] == eos_token_id -# newline after EOS -template_prefix_token_ids = template_token_ids[:-15] -assert template_prefix_token_ids[-2] == eos_token_id -assert template_prefix_token_ids[-1] != eos_token_id -result = _replace_prefix_tokens( - tokenizer=tokenizer, - model_prefix_token_ids=model_prefix_token_ids, - template_prefix_token_ids=template_prefix_token_ids, - template_token_ids=template_token_ids, -) -assert result == og_model_token_ids -``` - -This test shows they handle the case where template has **newline after EOS**. - -### 4. No Suffix Stripping After EOS - -**Finding**: The library **does NOT strip or validate suffix length after EOS tokens**. - -Evidence: -1. No grep results for patterns like "strip.*suffix", "suffix.*strip", "after.*eos" in data processing code -2. Loss masks are created based solely on role, not on EOS position -3. The `token_loss_mask` is created with `torch.ones_like(token_ids)` for entire assistant messages - -**Implication**: If a chat template generates tokens after EOS (e.g., `\n`), those tokens would be: -- **Included in the token_ids** -- **Included in the loss mask (masked in with value=1)** -- **Used for training loss computation** - -The library relies on: -1. Chat templates being well-formed (not generating extra tokens after EOS) -2. EOS token handling at generation time (via `_replace_prefix_tokens`) -3. Proper tokenizer configuration - -### 5. Chat Template Usage - -**File**: `/home/felipemello/forge/RL/nemo_rl/data/llm_message_utils.py` -**Lines**: 541-543 - -```python -formatted_message: str = tokenizer.apply_chat_template( # type: ignore - message_log_strs[: i + 1], **template_kwargs -) -``` - -The library uses `tokenizer.apply_chat_template()` extensively: -- Each message turn is formatted incrementally -- Difference between consecutive formatted strings gives the current message chunk -- This approach handles model-specific formatting (Llama, Qwen, Gemma, etc.) - -**Configurable chat templates** (`/home/felipemello/forge/RL/nemo_rl/models/policy/__init__.py:137`): -```python -# Arguments to pass to tokenizer.apply_chat_template(...). This can be used to pass kwargs like enable_thinking=true -``` - -Users can pass custom kwargs to `apply_chat_template` (e.g., `enable_thinking=True` for Qwen3). - -### 6. Test Validation of EOS Handling - -**File**: `/home/felipemello/forge/RL/tests/unit/data/test_llm_message_utils.py` -**Function**: Test parameterization -**Lines**: 420-498 - -Test expectations documented (lines 420-434): -```python -""" -Expectations: -- Require an EOS token for well-defined end-of-turn comparison. -- When add_generation_prompt is False, the concatenated contents must match - the tokenizer's apply_chat_template output; if the tokenizer omits a final - EOS, accept the actual with EOS by appending EOS to the expected before - comparison. -- When add_generation_prompt is True and the last turn is an assistant - message, accept either: - (1) prefix built with add_generation_prompt=True followed by the raw - assistant content plus EOS; or - (2) the tokenizer's full non-generation template output plus EOS. - This avoids hard-coding model-specific headers or delimiters while still - verifying semantic equivalence. -- Only normalization performed is trimming a trailing newline after EOS. -""" -``` - -**Normalization function (lines 449-453):** -```python -def normalize(s: str) -> str: - # Normalize EOS+newline quirk to EOS only - if s.endswith(eos + "\n"): - return s[:-1] - return s -``` - -**Key insight**: The test normalizes `\n` → `` for comparison, acknowledging that some templates (like Qwen) add newlines after EOS. This is **purely for test validation**, not for actual training data processing. - -### 7. Collate Function Integration - -**File**: `/home/felipemello/forge/RL/nemo_rl/data/collate_fn.py` -**Function**: `preference_collate_fn()` -**Lines**: 127-197 - -```python -def preference_collate_fn( - data_batch: list[DPODatumSpec], - tokenizer: TokenizerType, - make_sequence_length_divisible_by: int, - add_loss_mask: bool, -) -> BatchedDataDict[Any]: - # ... batching logic ... - - if add_loss_mask: - add_loss_mask_to_message_log( - batch["message_log"], - only_unmask_final=True, # For DPO, only train on final response - ) - - cat_and_padded, input_lengths = batched_message_log_to_flat_message( - batch["message_log"], - pad_value_dict={"token_ids": tokenizer.pad_token_id}, - make_sequence_length_divisible_by=make_sequence_length_divisible_by, - ) - - data: BatchedDataDict[Any] = BatchedDataDict( - { - "input_ids": cat_and_padded["token_ids"], - "input_lengths": input_lengths, - "sample_mask": batch["loss_multiplier"], - } - ) - if add_loss_mask: - data["token_mask"] = cat_and_padded["token_loss_mask"] - - return data -``` - -The `token_mask` from `token_loss_mask` is used directly for loss computation. - -## Summary: Design Philosophy - -The NeMo-RL library's approach: - -1. **Trust the chat template**: Assumes `tokenizer.apply_chat_template()` produces well-formed sequences -2. **Role-based masking**: Masks are created based on message role, not token content -3. **EOS at generation time**: Handles EOS tokens during generation (multi-turn) with `_replace_prefix_tokens()` -4. **No post-EOS stripping**: Does not validate or strip tokens after EOS -5. **Test normalization only**: Tests normalize `\n` but training data keeps it as-is - -## Comparison to Other Approaches - -**What NeMo-RL does NOT do:** -- ❌ Check if tokens exist after EOS -- ❌ Strip suffix after EOS -- ❌ Validate suffix length is 0 after EOS -- ❌ Create masks based on EOS position - -**What NeMo-RL DOES do:** -- ✅ Add EOS token if missing from chat template -- ✅ Handle EOS during multi-turn generation continuations -- ✅ Create loss masks based on role (assistant vs user) -- ✅ Normalize `\n` → `` in tests only - -## Relevant File Paths - -1. **Core masking logic**: `/home/felipemello/forge/RL/nemo_rl/data/llm_message_utils.py` - - `add_loss_mask_to_message_log()` (lines 141-176) - - `get_formatted_message_log()` (lines 443-659) - -2. **EOS handling for generation**: `/home/felipemello/forge/RL/nemo_rl/models/generation/vllm/vllm_worker_async.py` - - `_replace_prefix_tokens()` (lines 40-121) - -3. **Collate functions**: `/home/felipemello/forge/RL/nemo_rl/data/collate_fn.py` - - `preference_collate_fn()` (lines 127-197) - -4. **Algorithm usage**: - - SFT: `/home/felipemello/forge/RL/nemo_rl/algorithms/sft.py:265` - - DPO: `/home/felipemello/forge/RL/nemo_rl/algorithms/dpo.py:176` - - GRPO: `/home/felipemello/forge/RL/nemo_rl/algorithms/grpo.py:1080-1086` - - Distillation: `/home/felipemello/forge/RL/nemo_rl/algorithms/distillation.py:659-663` - -5. **Tests**: `/home/felipemello/forge/RL/tests/unit/data/test_llm_message_utils.py` - - EOS normalization tests (lines 420-498) - - Loss mask tests (lines 567-614) - -6. **Generation tests**: `/home/felipemello/forge/RL/tests/unit/models/generation/test_vllm_generation.py` - - `test_VllmAsyncGenerationWorker_replace_prefix_tokens()` (lines 1235-1329) - -## Recommendation - -If you need to handle tokens after EOS in your implementation: - -1. **For training data**: You may want to add validation/stripping logic before `add_loss_mask_to_message_log()` is called -2. **For generation**: Use NeMo-RL's `_replace_prefix_tokens()` approach for multi-turn handling -3. **For chat templates**: Ensure your templates don't generate tokens after EOS, or strip them explicitly - -The NeMo-RL approach assumes clean chat templates. If your chat template generates `\n`, you would need to: -- Either modify the chat template to not generate the newline -- Or add a post-processing step to strip tokens after EOS before creating masks diff --git a/debug/test_create_next_token_targets.py b/debug/test_create_next_token_targets.py deleted file mode 100644 index 99009010d..000000000 --- a/debug/test_create_next_token_targets.py +++ /dev/null @@ -1,485 +0,0 @@ -#!/usr/bin/env python3 -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Standalone test for next-token prediction targets and training masks. - -This script tests the alignment between tokens, targets, and masks for multi-turn conversations. -""" - -from typing import List - -import torch -from tabulate import tabulate - - -CROSS_ENTROPY_IGNORE_IDX = -100 - - -def create_next_token_targets( - all_token_ids: torch.Tensor, # [seq_len] - response_mask: torch.Tensor, # [seq_len] bool - eos_token_id: int, - ignore_index: int = CROSS_ENTROPY_IGNORE_IDX, -) -> torch.Tensor: - """ - Create next-token prediction targets with EOS masking for multi-turn. - - Args: - all_token_ids: All conversation tokens [seq_len] - response_mask: Boolean mask, True for trainable tokens - eos_token_id: EOS token ID to mask (prevents predicting after EOS) - ignore_index: Value to use for masked positions - - Returns: - targets: Target tokens for next-token prediction [seq_len] - """ - targets = torch.full_like(all_token_ids, ignore_index) - - # Shift: targets[i] should predict all_token_ids[i+1] - targets[:-1] = all_token_ids[1:] - - # Mask targets for non-trainable tokens - targets[~response_mask] = ignore_index - - # EOS is part of response_mask, but we should ignore the prediction - targets[all_token_ids == eos_token_id] = ignore_index - - return targets - - -def test_exact_user_example(): - """ - Test the EXACT example from the user: - - Multi-turn sequence: - - System message - - User message - - Agent says "Hello there" + EOS - - User message - - Agent says "I am bob" + EOS - - Only agent responses should be trainable. - """ - print("\n" + "=" * 100) - print("TEST: Multi-turn conversation with 'Hello there' and 'I am bob'") - print("=" * 100) - print() - - # Define token IDs (using readable numbers) - # Let's say: EOS=100, typical tokens are < 100 - - # Build the sequence step by step - token_strs = [ - # System message - "<|im_start|>", - "system", - "\n", - "You", - "are", - "helpful", - "<|im_end|>", - # User message 1 - "<|im_start|>", - "user", - "\n", - "Hi", - "<|im_end|>", - # Assistant response 1: "Hello there" - "<|im_start|>", - "assistant", - "\n", - "Hello", - "there", - "<|im_end|>", - # User message 2 - "<|im_start|>", - "user", - "\n", - "Who", - "are", - "you", - "<|im_end|>", - # Assistant response 2: "I am bob" - "<|im_start|>", - "assistant", - "\n", - "I", - "am", - "bob", - "<|im_end|>", - ] - - # Map to token IDs (simplified) - token_map = {s: i + 1 for i, s in enumerate(set(token_strs))} - token_map["<|im_end|>"] = 100 # EOS token - - tokens = [token_map[s] for s in token_strs] - - # Create mask: True only for assistant content tokens (not the prefix) - # Pattern: <|im_start|> assistant \n [CONTENT TOKENS] <|im_end|> - # False False False [TRUE...] TRUE (EOS) - - mask = [] - in_assistant = False - for i, s in enumerate(token_strs): - if s == "assistant": - in_assistant = True - mask.append(False) # "assistant" token itself is not trainable - elif in_assistant and s == "\n": - mask.append(False) # newline after "assistant" is not trainable - elif in_assistant and s == "<|im_end|>": - mask.append( - True - ) # EOS is marked as trainable (but will be excluded in targets) - in_assistant = False - elif in_assistant: - mask.append(True) # Actual content is trainable - else: - mask.append(False) # System, user, prefixes are not trainable - - all_token_ids = torch.tensor(tokens, dtype=torch.long) - response_mask = torch.tensor(mask, dtype=torch.bool) - eos_token_id = 100 - - targets = create_next_token_targets(all_token_ids, response_mask, eos_token_id) - - # Create training mask (what actually contributes to loss) - # This should be: position i is trainable if token i+1 is trainable AND token i is not EOS - training_mask = torch.zeros_like(response_mask, dtype=torch.float) - for i in range(len(tokens) - 1): - # Position i predicts token i+1 - # We train on position i if: - # 1. Token i+1 is trainable (response_mask[i+1] == True) - # 2. Token i is NOT EOS (don't predict after EOS) - if response_mask[i + 1] and tokens[i] != eos_token_id: - training_mask[i] = 1.0 - - # Build the table - table_data = [] - for i in range(len(tokens)): - token_str = token_strs[i] - token_id = tokens[i] - - # Response mask - resp_mask_str = "✓" if mask[i] else "✗" - - # Target - target_val = targets[i].item() - if target_val == CROSS_ENTROPY_IGNORE_IDX: - target_str = "IGNORE" - else: - target_str = f"{target_val}" - # Find what token this is - for s, tid in token_map.items(): - if tid == target_val: - target_str = f"{target_val} ({s})" - break - - # Training mask (what contributes to loss) - train_mask_val = training_mask[i].item() - train_mask_str = f"{train_mask_val:.1f}" - - # Notes - notes = [] - if i < len(tokens) - 1: - next_token = token_strs[i + 1] - notes.append(f"→ {next_token}") - - table_data.append( - [ - i, - token_str, - token_id, - resp_mask_str, - target_str, - train_mask_str, - " ".join(notes), - ] - ) - - headers = [ - "Idx", - "Token", - "ID", - "Response\nMask", - "Target", - "Training\nMask", - "Predicts", - ] - print(tabulate(table_data, headers=headers, tablefmt="grid")) - - print("\n" + "=" * 100) - print("KEY INSIGHTS FROM THIS EXAMPLE") - print("=" * 100) - print() - print("1. RESPONSE_MASK vs TRAINING_MASK:") - print(" - response_mask: Marks which tokens ARE responses (content + EOS)") - print(" - training_mask: Marks which POSITIONS contribute to loss") - print(" - They are NOT the same!") - print() - print("2. THE SHIFT:") - print(" - Position i predicts token i+1") - print(" - If token i+1 is trainable, then position i contributes to loss") - print( - " - training_mask[i] = 1.0 if (response_mask[i+1] == True AND token[i] != EOS)" - ) - print() - print("3. WHY MASK IS 0.0/1.0 (not bool):") - print( - " - Used in loss computation: loss = (per_token_loss * training_mask).sum()" - ) - print(" - Float mask allows element-wise multiplication") - print() - print("4. EOS HANDLING:") - print(" - EOS appears in response_mask (it's part of the response)") - print(" - Position before EOS should predict EOS (training_mask=1.0)") - print( - " - Position AT EOS should NOT train (training_mask=0.0, don't predict after EOS)" - ) - print() - - # Show specific examples - print("=" * 100) - print("SPECIFIC EXAMPLES FROM THE TABLE") - print("=" * 100) - print() - - # Find "Hello" token - hello_idx = token_strs.index("Hello") - there_idx = token_strs.index("there") - - print(f"Position {hello_idx} (token='Hello'):") - print(f" - Predicts: '{token_strs[hello_idx + 1]}'") - print(f" - response_mask[{hello_idx}] = {mask[hello_idx]}") - print(f" - training_mask[{hello_idx}] = {training_mask[hello_idx].item()}") - print(f" - target[{hello_idx}] = {targets[hello_idx].item()}") - print(f" → Position {hello_idx} TRAINS to predict '{token_strs[hello_idx + 1]}'") - print() - - # Find position before first EOS - first_eos_idx = tokens.index(100) - before_eos_idx = first_eos_idx - 1 - - print(f"Position {before_eos_idx} (token='{token_strs[before_eos_idx]}'):") - print(f" - Predicts: '<|im_end|>' (EOS)") - print(f" - response_mask[{before_eos_idx}] = {mask[before_eos_idx]}") - print( - f" - training_mask[{before_eos_idx}] = {training_mask[before_eos_idx].item()}" - ) - print( - f" - target[{before_eos_idx}] = {targets[before_eos_idx].item()} (should be {eos_token_id})" - ) - print(f" → Position {before_eos_idx} TRAINS to predict EOS") - print() - - print(f"Position {first_eos_idx} (token='<|im_end|>'):") - print(f" - Token IS EOS") - print(f" - response_mask[{first_eos_idx}] = {mask[first_eos_idx]}") - print(f" - training_mask[{first_eos_idx}] = {training_mask[first_eos_idx].item()}") - print(f" - target[{first_eos_idx}] = {targets[first_eos_idx].item()}") - print(f" → Position {first_eos_idx} does NOT train (don't predict after EOS)") - print() - - print("=" * 100) - print("HOW LOSS COMPUTATION WORKS") - print("=" * 100) - print() - print("In the GRPO loss function:") - print() - print(" logprobs = compute_logprobs(logits, all_tokens) # [seq_len]") - print(" per_token_loss = -(logprobs * advantages) # [seq_len]") - print(" masked_loss = per_token_loss * training_mask # [seq_len]") - print(" loss = masked_loss.sum() / training_mask.sum() # scalar") - print() - print("Only positions where training_mask=1.0 contribute to the loss!") - print() - print("This means:") - print(" - System, user messages: training_mask=0.0 → no gradient") - print(" - Assistant prefix: training_mask=0.0 → no gradient") - print(" - Assistant content: training_mask=1.0 → gets gradient") - print(" - Position after EOS: training_mask=0.0 → no gradient") - print() - - print("=" * 100) - print("SUMMARY: WHAT NEEDS TO BE FIXED") - print("=" * 100) - print() - print("1. RENAME 'response_mask' to 'response_token_mask' for clarity") - print(" - It marks which tokens ARE responses") - print() - print( - "2. CREATE 'training_mask' (or 'loss_mask') derived from response_token_mask:" - ) - print( - " - training_mask[i] = 1.0 if response_token_mask[i+1] and not is_eos(token[i])" - ) - print(" - This is the mask used in loss computation") - print() - print("3. FIX compute_logprobs call:") - print(" - Currently: compute_logprobs(logits, all_tokens, align=False)") - print(" - Problem: logits[i] predicts token[i+1], not token[i]!") - print(" - Solution: Shift properly or use targets") - print() - print("4. USE targets in loss computation (if created):") - print(" - targets already has the shift built in") - print(" - targets[i] = all_tokens[i+1] where trainable, else IGNORE") - print(" - Can derive training_mask from: (targets != IGNORE).float()") - print() - - return True - - -def test_simple_hello_bob(): - """ - Simplified version with just the tokens, no template. - - Sequence: - - "prompt" "prompt" - - "Hello" "there" EOS - - "prompt" "prompt" - - "I" "am" "bob" EOS - """ - print("\n" + "=" * 100) - print("TEST: Simplified 'Hello there' and 'I am bob' example") - print("=" * 100) - print() - - # Token strings - token_strs = [ - "Prompt", - "prompt", # User message 1 - "Hello", - "there", - "EOS", # Agent response 1 - "Prompt", - "prompt", # User message 2 - "I", - "am", - "bob", - "EOS", # Agent response 2 - ] - - # Token IDs - tokens = [1, 2, 3, 4, 100, 5, 6, 7, 8, 9, 100] - - # response_mask: True for agent responses (including EOS) - response_mask = [ - False, - False, - True, - True, - True, - False, - False, - True, - True, - True, - True, - ] - - all_token_ids = torch.tensor(tokens, dtype=torch.long) - response_mask_tensor = torch.tensor(response_mask, dtype=torch.bool) - eos_token_id = 100 - - targets = create_next_token_targets( - all_token_ids, response_mask_tensor, eos_token_id - ) - - # Create CORRECT training mask - # Position i is trainable if token[i+1] is trainable AND token[i] is not EOS - training_mask = torch.zeros(len(tokens), dtype=torch.float) - for i in range(len(tokens) - 1): - if response_mask[i + 1] and tokens[i] != eos_token_id: - training_mask[i] = 1.0 - - # Build table - table_data = [] - for i in range(len(tokens)): - token_str = token_strs[i] - token_id = tokens[i] - - resp_mask_str = "1" if response_mask[i] else "0" - - target_val = targets[i].item() - if target_val == CROSS_ENTROPY_IGNORE_IDX: - target_str = "IGNORE" - else: - if i + 1 < len(token_strs): - target_str = f"{target_val} (→{token_strs[i+1]})" - else: - target_str = f"{target_val}" - - train_mask_str = f"{training_mask[i].item():.1f}" - - # Show what contributes to loss - contributes = "YES" if training_mask[i].item() == 1.0 else "NO" - - table_data.append( - [ - i, - token_str, - token_id, - resp_mask_str, - target_str, - train_mask_str, - contributes, - ] - ) - - headers = [ - "Idx", - "Token", - "ID", - "Resp\nMask", - "Target\n(predicts)", - "Train\nMask", - "Loss?", - ] - print(tabulate(table_data, headers=headers, tablefmt="grid")) - - print("\n" + "=" * 100) - print("OBSERVATIONS") - print("=" * 100) - print() - print(f"Total tokens: {len(tokens)}") - print(f"Response tokens (response_mask=1): {sum(response_mask)}") - print(f"Training positions (training_mask=1): {int(training_mask.sum().item())}") - print() - print("Notice:") - print(" - Response tokens: 7 (includes both EOS)") - print(" - Training positions: 5 (excludes positions AT EOS and after EOS)") - print(" - The difference: 2 EOS positions don't train") - print() - - return True - - -def main(): - """Run all tests.""" - print("\n" + "=" * 100) - print("TESTING NEXT-TOKEN PREDICTION: TARGETS AND TRAINING MASKS") - print("=" * 100) - - test_exact_user_example() - test_simple_hello_bob() - - print("\n" + "=" * 100) - print("ALL TESTS COMPLETED ✅") - print("=" * 100) - print() - - -if __name__ == "__main__": - try: - main() - except ImportError: - print("Installing tabulate...") - import subprocess - - subprocess.check_call(["pip", "install", "-q", "tabulate"]) - main() diff --git a/debug/test_loss_alignment.py b/debug/test_loss_alignment.py deleted file mode 100644 index 9c4243f0a..000000000 --- a/debug/test_loss_alignment.py +++ /dev/null @@ -1,419 +0,0 @@ -#!/usr/bin/env python3 -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Standalone test to verify loss alignment between policy and ref model paths. - -Goal: Prove whether the KL explosion (step 1 loss = 39,000) is due to an alignment bug - or something else (initial model divergence, etc.). - -Test strategy: -1. Create multi-turn conversation with TokenAccumulator -2. Extract episode tensors (all_token_ids, response_mask, loss_mask) -3. Create dummy logits -4. Compute logprobs via policy path -5. Compute ref_logprobs via ref path (SAME logits to verify alignment) -6. Verify logprob_diff is small (proves alignment is correct) -7. Call simple_grpo_loss and verify no explosion -""" - -import os -import sys - -import torch - -# Add project root to path -sys.path.insert(0, "/home/felipemello/forge") - -from apps.blackjack.main_v2 import SanityCheckMode, TokenAccumulator -from forge.data.common import CROSS_ENTROPY_IGNORE_IDX -from forge.util.ops import compute_logprobs, create_shifted_targets -from vllm.transformers_utils.tokenizer import get_tokenizer - - -def create_dummy_logits(batch_size, seq_len, vocab_size, temperature=1.0): - """ - Create dummy logits that are NOT uniform random (which would give ~equal probs). - Instead, create peaked distributions to mimic real model behavior. - """ - # Create base logits - logits = torch.randn(batch_size, seq_len, vocab_size) * temperature - - # For each position, make the "correct" token have highest logit - # This simulates a model that's somewhat confident - for b in range(batch_size): - for s in range(seq_len): - # Pick a random token to be the "target" and boost its logit - target_id = torch.randint(0, vocab_size, (1,)).item() - logits[b, s, target_id] += 3.0 # Boost by 3 to make it confident - - return logits - - -def simple_grpo_loss_minimal( - logits: torch.Tensor, - input_ids: torch.Tensor, - loss_mask: torch.Tensor, - ref_logprobs: torch.Tensor, - advantages: torch.Tensor, - beta: float = 0.1, -) -> dict: - """ - Minimal version of simple_grpo_loss with detailed outputs for debugging. - Returns dict with all intermediate values. - """ - # Create targets - targets = create_shifted_targets(input_ids, loss_mask) - - # Compute policy logprobs - logprobs = compute_logprobs(logits, targets, ignore_index=CROSS_ENTROPY_IGNORE_IDX) - - # Logprob difference - logprob_diff = ref_logprobs - logprobs - - # KL divergence - kl = torch.exp(ref_logprobs - logprobs) - (ref_logprobs - logprobs) - 1 - - # Policy loss - per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages - per_token_loss = -(per_token_policy_loss - beta * kl) - - # Per-sequence normalization - loss = ( - (per_token_loss * loss_mask).sum(dim=1) / loss_mask.sum(dim=1).clamp(min=1.0) - ).mean() - - return { - "targets": targets, - "logprobs": logprobs, - "ref_logprobs": ref_logprobs, - "logprob_diff": logprob_diff, - "kl": kl, - "per_token_loss": per_token_loss, - "loss": loss, - "loss_mask": loss_mask, - } - - -def print_detailed_comparison(result: dict, input_ids: torch.Tensor): - """Print detailed position-by-position comparison.""" - targets = result["targets"] - logprobs = result["logprobs"] - ref_logprobs = result["ref_logprobs"] - logprob_diff = result["logprob_diff"] - kl = result["kl"] - loss_mask = result["loss_mask"] - - print("\n" + "=" * 120) - print("POSITION-BY-POSITION ANALYSIS (First sequence only)") - print("=" * 120) - print( - f"{'Idx':>4} {'Input':>6} {'Target':>8} {'Mask':>5} {'LogProb':>10} {'RefLogP':>10} {'Diff':>8} {'KL':>10}" - ) - print("-" * 120) - - seq = 0 # First sequence - for i in range(len(input_ids[seq])): - inp = input_ids[seq, i].item() - tgt = targets[seq, i].item() - mask = loss_mask[seq, i].item() - lp = logprobs[seq, i].item() - ref_lp = ref_logprobs[seq, i].item() - diff = logprob_diff[seq, i].item() - kl_val = kl[seq, i].item() - - tgt_str = "IGNORE" if tgt == CROSS_ENTROPY_IGNORE_IDX else f"{tgt:6d}" - - # Highlight problematic positions - flag = "" - if mask > 0 and abs(diff) > 5.0: - flag = " ⚠️ LARGE DIFF!" - if mask > 0 and kl_val > 100: - flag = " 🔥 KL EXPLOSION!" - - print( - f"{i:4d} {inp:6d} {tgt_str:>8s} {mask:5.1f} {lp:10.4f} {ref_lp:10.4f} {diff:8.4f} {kl_val:10.4f}{flag}" - ) - - print("-" * 120) - - -def test_loss_alignment(): - """Main test function.""" - print("\n" + "=" * 80) - print("STANDALONE LOSS ALIGNMENT TEST") - print("=" * 80) - - # ============================================================================ - # Step 1: Setup tokenizer and TokenAccumulator - # ============================================================================ - print("\n[1/7] Setting up tokenizer and TokenAccumulator...") - - model_name = "Qwen/Qwen2.5-0.5B-Instruct" - tokenizer = get_tokenizer(model_name) - - initial_messages = [{"role": "system", "content": "You are a helpful assistant."}] - - max_seq_len = 512 - eos_token_id = tokenizer.eos_token_id - - accumulator = TokenAccumulator( - tokenizer=tokenizer, - messages=initial_messages, - max_seq_len=max_seq_len, - eos_token_id=eos_token_id, - enable_thinking=False, - sanity_check_mode=SanityCheckMode.DISABLE, - ) - - print(f" ✓ Tokenizer: {model_name}") - print(f" ✓ EOS token ID: {eos_token_id}") - print(f" ✓ Max seq len: {max_seq_len}") - - # ============================================================================ - # Step 2: Add multi-turn conversation - # ============================================================================ - print("\n[2/7] Building multi-turn conversation...") - - # Turn 1: User - accumulator.add_user_message("What is 2+2?") - - # Turn 1: Assistant - assistant_response_1 = "The answer is 4." - assistant_tokens_1 = tokenizer.encode( - assistant_response_1, add_special_tokens=False - ) - assistant_tokens_1.append(eos_token_id) - accumulator.add_assistant_response( - response_text=assistant_response_1, - response_token_ids=assistant_tokens_1, - response_logprobs=None, - ) - - # Turn 2: User - accumulator.add_user_message("What is 3+3?") - - # Turn 2: Assistant - assistant_response_2 = "The answer is 6." - assistant_tokens_2 = tokenizer.encode( - assistant_response_2, add_special_tokens=False - ) - assistant_tokens_2.append(eos_token_id) - accumulator.add_assistant_response( - response_text=assistant_response_2, - response_token_ids=assistant_tokens_2, - response_logprobs=None, - ) - - print(f" ✓ Added 2 turns (4 messages)") - print(f" ✓ Total tokens: {len(accumulator.accumulated_tokens)}") - print(f" ✓ Trainable positions: {sum(accumulator.response_mask)}") - - # ============================================================================ - # Step 3: Extract episode tensors - # ============================================================================ - print("\n[3/7] Extracting episode tensors...") - - all_token_ids = torch.tensor( - accumulator.accumulated_tokens, dtype=torch.long - ).unsqueeze( - 0 - ) # [1, seq_len] - response_mask = torch.tensor(accumulator.response_mask, dtype=torch.bool).unsqueeze( - 0 - ) # [1, seq_len] - - # Create loss_mask via torch.roll (same as in main_v2.py) - loss_mask = torch.roll(response_mask.float(), shifts=-1, dims=-1) - loss_mask[:, -1] = 0.0 - - print(f" ✓ all_token_ids shape: {all_token_ids.shape}") - print(f" ✓ response_mask shape: {response_mask.shape}") - print(f" ✓ loss_mask shape: {loss_mask.shape}") - print(f" ✓ Trainable positions (loss_mask.sum()): {loss_mask.sum().item()}") - - # ============================================================================ - # Step 4: Create dummy logits - # ============================================================================ - print("\n[4/7] Creating dummy logits...") - - # Use actual vocab size that includes special tokens - # tokenizer.vocab_size may not include special tokens, so we need to find the max token ID - max_token_id = max(all_token_ids.max().item(), eos_token_id) - vocab_size = max_token_id + 100 # Add buffer for safety - batch_size = 1 - seq_len = all_token_ids.shape[1] - - logits = create_dummy_logits(batch_size, seq_len, vocab_size, temperature=1.0) - - print(f" ✓ Logits shape: {logits.shape}") - print(f" ✓ Vocab size (with special tokens): {vocab_size}") - print(f" ✓ Tokenizer vocab_size: {tokenizer.vocab_size}") - print(f" ✓ Max token ID in sequence: {all_token_ids.max().item()}") - - # ============================================================================ - # Step 5: Compute logprobs (policy path) - # ============================================================================ - print("\n[5/7] Computing logprobs (policy path)...") - - # This is what happens in simple_grpo_loss - targets_policy = create_shifted_targets(all_token_ids, loss_mask) - logprobs_policy = compute_logprobs( - logits, targets_policy, ignore_index=CROSS_ENTROPY_IGNORE_IDX - ) - - print(f" ✓ targets_policy shape: {targets_policy.shape}") - print(f" ✓ logprobs_policy shape: {logprobs_policy.shape}") - print( - f" ✓ Non-IGNORE positions: {(targets_policy != CROSS_ENTROPY_IGNORE_IDX).sum().item()}" - ) - - # ============================================================================ - # Step 6: Compute ref_logprobs (ref model path - SAME logits!) - # ============================================================================ - print("\n[6/7] Computing ref_logprobs (ref model path with SAME logits)...") - - # This is what happens in reference_model.forward - targets_ref = create_shifted_targets(all_token_ids, loss_mask) - logprobs_ref = compute_logprobs( - logits, targets_ref, ignore_index=CROSS_ENTROPY_IGNORE_IDX - ) - - print(f" ✓ targets_ref shape: {targets_ref.shape}") - print(f" ✓ logprobs_ref shape: {logprobs_ref.shape}") - print( - f" ✓ Non-IGNORE positions: {(targets_ref != CROSS_ENTROPY_IGNORE_IDX).sum().item()}" - ) - - # ============================================================================ - # CRITICAL: Verify alignment - # ============================================================================ - print("\n" + "=" * 80) - print("ALIGNMENT VERIFICATION") - print("=" * 80) - - # Check 1: Targets should be identical - targets_match = torch.equal(targets_policy, targets_ref) - print(f"\n✓ Targets match: {targets_match}") - if not targets_match: - print(" 🔥 BUG DETECTED: Targets differ between policy and ref paths!") - print(f" Policy targets: {targets_policy[0, :20].tolist()}") - print(f" Ref targets: {targets_ref[0, :20].tolist()}") - - # Check 2: Logprobs should be identical (since we used SAME logits) - logprobs_match = torch.allclose(logprobs_policy, logprobs_ref, atol=1e-6) - print(f"✓ Logprobs match: {logprobs_match}") - if not logprobs_match: - print(" 🔥 BUG DETECTED: Logprobs differ even with same logits!") - max_diff = (logprobs_policy - logprobs_ref).abs().max().item() - print(f" Max difference: {max_diff}") - - # Check 3: Logprob diff should be near zero - logprob_diff = logprobs_ref - logprobs_policy - masked_diff = logprob_diff * loss_mask - num_trainable = loss_mask.sum().clamp(min=1.0) - - diff_mean = (masked_diff.sum() / num_trainable).item() - diff_min = logprob_diff[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0 - diff_max = logprob_diff[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0 - - print(f"\nLogprob diff statistics:") - print(f" Mean: {diff_mean:.6f}") - print(f" Min: {diff_min:.6f}") - print(f" Max: {diff_max:.6f}") - - if abs(diff_mean) > 0.01 or abs(diff_min) > 1.0 or abs(diff_max) > 1.0: - print(" 🔥 WARNING: Large logprob diff detected!") - else: - print(" ✓ Logprob diff is small (alignment is correct)") - - # ============================================================================ - # Step 7: Call simple_grpo_loss and verify no explosion - # ============================================================================ - print("\n[7/7] Computing GRPO loss...") - - advantages = torch.tensor([[1.0]]) # Dummy advantage - - result = simple_grpo_loss_minimal( - logits=logits, - input_ids=all_token_ids, - loss_mask=loss_mask, - ref_logprobs=logprobs_ref, # Use ref_logprobs from step 6 - advantages=advantages, - beta=0.1, - ) - - loss = result["loss"] - kl = result["kl"] - - kl_masked = kl * loss_mask - kl_mean = (kl_masked.sum() / num_trainable).item() - kl_max = kl[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0 - - print(f"\n Loss: {loss.item():.6f}") - print(f" KL mean: {kl_mean:.6f}") - print(f" KL max: {kl_max:.6f}") - - if loss.item() > 1000: - print(" 🔥 LOSS EXPLOSION DETECTED!") - elif kl_max > 100: - print(" 🔥 KL EXPLOSION DETECTED!") - else: - print(" ✓ Loss and KL are reasonable") - - # ============================================================================ - # Print detailed comparison - # ============================================================================ - print_detailed_comparison(result, all_token_ids) - - # ============================================================================ - # Final summary - # ============================================================================ - print("\n" + "=" * 80) - print("TEST SUMMARY") - print("=" * 80) - - all_checks_pass = ( - targets_match - and logprobs_match - and abs(diff_mean) < 0.01 - and loss.item() < 1000 - and kl_max < 100 - ) - - if all_checks_pass: - print("\n✅ ALL CHECKS PASSED") - print(" - Targets are identical in policy and ref paths") - print(" - Logprobs are identical (with same logits)") - print(" - Logprob diff is near zero") - print(" - No loss explosion") - print(" - No KL explosion") - print("\n CONCLUSION: No alignment bug detected in the implementation.") - print(" The step 1 loss issue is likely due to:") - print(" - Initial model divergence between policy and ref") - print(" - Uninitialized or stale ref_logprobs") - print(" - Real model behavior (not a bug in alignment)") - else: - print("\n❌ CHECKS FAILED") - print(" CONCLUSION: Alignment bug detected! Review the implementation.") - if not targets_match: - print(" - Targets differ between paths") - if not logprobs_match: - print(" - Logprobs differ even with same logits") - if abs(diff_mean) > 0.01: - print(f" - Large logprob diff mean: {diff_mean}") - if loss.item() > 1000: - print(f" - Loss explosion: {loss.item()}") - if kl_max > 100: - print(f" - KL explosion: {kl_max}") - - print("\n" + "=" * 80) - print() - - -if __name__ == "__main__": - test_loss_alignment() diff --git a/debug/test_loss_alignment_v6.py b/debug/test_loss_alignment_v6.py deleted file mode 100644 index 02148c5fc..000000000 --- a/debug/test_loss_alignment_v6.py +++ /dev/null @@ -1,463 +0,0 @@ -#!/usr/bin/env python3 -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -V6 ADAPTED: Standalone test to verify loss alignment between policy and ref model paths. - -Goal: Prove whether the KL explosion (kl_max = 138,897,984) is due to an alignment bug - or something else (suffix tokens, initial model divergence, etc.). - -Test strategy: -1. Create multi-turn conversation with TokenAccumulator V6 -2. Extract episode tensors (token_ids, response_mask, loss_mask) -3. Create dummy logits -4. Compute logprobs via policy path -5. Compute ref_logprobs via ref path (SAME logits to verify alignment) -6. Verify logprob_diff is small (proves alignment is correct) -7. Call simple_grpo_loss and verify no explosion - -V6 CHANGES: -- Import TokenAccumulator from debug.token_accumulator_fn_v6 -- Use V6 API: max_len, eos_id, validation, thinking -- Use add_user() and add_assistant() methods -- Use get_data() instead of direct attribute access -- Suffix tokens are now part of the sequence -""" - -import os -import sys - -import torch - -# Add project root to path -sys.path.insert(0, "/home/felipemello/forge") - -from debug.token_accumulator_fn_v6 import TokenAccumulator, ValidationMode -from forge.data.common import CROSS_ENTROPY_IGNORE_IDX -from forge.util.ops import compute_logprobs, create_shifted_targets -from vllm.transformers_utils.tokenizer import get_tokenizer - - -def create_dummy_logits(batch_size, seq_len, vocab_size, temperature=1.0): - """ - Create dummy logits that are NOT uniform random (which would give ~equal probs). - Instead, create peaked distributions to mimic real model behavior. - """ - # Create base logits - logits = torch.randn(batch_size, seq_len, vocab_size) * temperature - - # For each position, make the "correct" token have highest logit - # This simulates a model that's somewhat confident - for b in range(batch_size): - for s in range(seq_len): - # Pick a random token to be the "target" and boost its logit - target_id = torch.randint(0, vocab_size, (1,)).item() - logits[b, s, target_id] += 3.0 # Boost by 3 to make it confident - - return logits - - -def simple_grpo_loss_minimal( - logits: torch.Tensor, - input_ids: torch.Tensor, - loss_mask: torch.Tensor, - ref_logprobs: torch.Tensor, - advantages: torch.Tensor, - beta: float = 0.1, -) -> dict: - """ - Minimal version of simple_grpo_loss with detailed outputs for debugging. - Returns dict with all intermediate values. - """ - # Create targets - targets = create_shifted_targets(input_ids, loss_mask) - - # Compute policy logprobs - logprobs = compute_logprobs(logits, targets, ignore_index=CROSS_ENTROPY_IGNORE_IDX) - - # Logprob difference - logprob_diff = ref_logprobs - logprobs - - # KL divergence - kl = torch.exp(ref_logprobs - logprobs) - (ref_logprobs - logprobs) - 1 - - # Policy loss - per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages - per_token_loss = -(per_token_policy_loss - beta * kl) - - # Per-sequence normalization - loss = ( - (per_token_loss * loss_mask).sum(dim=1) / loss_mask.sum(dim=1).clamp(min=1.0) - ).mean() - - return { - "targets": targets, - "logprobs": logprobs, - "ref_logprobs": ref_logprobs, - "logprob_diff": logprob_diff, - "kl": kl, - "per_token_loss": per_token_loss, - "loss": loss, - "loss_mask": loss_mask, - } - - -def print_detailed_comparison(result: dict, input_ids: torch.Tensor, tokenizer): - """Print detailed position-by-position comparison.""" - targets = result["targets"] - logprobs = result["logprobs"] - ref_logprobs = result["ref_logprobs"] - logprob_diff = result["logprob_diff"] - kl = result["kl"] - loss_mask = result["loss_mask"] - - print("\n" + "=" * 140) - print("POSITION-BY-POSITION ANALYSIS (First sequence only)") - print("=" * 140) - print( - f"{'Idx':>4} {'Input':>6} {'Token':>12} {'Target':>8} {'Mask':>5} {'LogProb':>10} {'RefLogP':>10} {'Diff':>8} {'KL':>10}" - ) - print("-" * 140) - - seq = 0 # First sequence - for i in range(len(input_ids[seq])): - inp = input_ids[seq, i].item() - inp_tok = tokenizer.decode([inp])[:10] # First 10 chars - tgt = targets[seq, i].item() - mask = loss_mask[seq, i].item() - lp = logprobs[seq, i].item() - ref_lp = ref_logprobs[seq, i].item() - diff = logprob_diff[seq, i].item() - kl_val = kl[seq, i].item() - - tgt_str = "IGNORE" if tgt == CROSS_ENTROPY_IGNORE_IDX else f"{tgt:6d}" - - # Highlight problematic positions - flag = "" - if mask > 0 and abs(diff) > 5.0: - flag = " ⚠️ LARGE DIFF!" - if mask > 0 and kl_val > 100: - flag = " 🔥 KL EXPLOSION!" - - print( - f"{i:4d} {inp:6d} {inp_tok:>12s} {tgt_str:>8s} {mask:5.1f} {lp:10.4f} {ref_lp:10.4f} {diff:8.4f} {kl_val:10.4f}{flag}" - ) - - print("-" * 140) - - -def test_loss_alignment(): - """Main test function.""" - print("\n" + "=" * 80) - print("V6 STANDALONE LOSS ALIGNMENT TEST") - print("=" * 80) - - # ============================================================================ - # Step 1: Setup tokenizer and TokenAccumulator V6 - # ============================================================================ - print("\n[1/7] Setting up tokenizer and TokenAccumulator V6...") - - model_name = "Qwen/Qwen2.5-0.5B-Instruct" - tokenizer = get_tokenizer(model_name) - - initial_messages = [{"role": "system", "content": "You are a helpful assistant."}] - - max_seq_len = 512 - eos_token_id = tokenizer.eos_token_id - - # V6 API: max_len, eos_id, validation, thinking - accumulator = TokenAccumulator( - tokenizer=tokenizer, - messages=initial_messages, - max_len=max_seq_len, - eos_id=eos_token_id, - thinking=False, - validation=ValidationMode.OFF, # V6: Use OFF instead of DISABLE - ) - - print(f" ✓ Tokenizer: {model_name}") - print(f" ✓ EOS token ID: {eos_token_id}") - print(f" ✓ Max seq len: {max_seq_len}") - print(f" ✓ Suffix tokens: {accumulator.suffix}") - print(f" ✓ Suffix length: {len(accumulator.suffix)}") - - # ============================================================================ - # Step 2: Add multi-turn conversation - # ============================================================================ - print("\n[2/7] Building multi-turn conversation...") - - # Turn 1: User - accumulator.add_user("What is 2+2?") - - # Turn 1: Assistant - assistant_response_1 = "The answer is 4." - assistant_tokens_1 = tokenizer.encode( - assistant_response_1, add_special_tokens=False - ) - assistant_tokens_1.append(eos_token_id) - accumulator.add_assistant( - text=assistant_response_1, - token_ids=assistant_tokens_1, - logprobs=None, - ) - - # Turn 2: User - accumulator.add_user("What is 3+3?") - - # Turn 2: Assistant - assistant_response_2 = "The answer is 6." - assistant_tokens_2 = tokenizer.encode( - assistant_response_2, add_special_tokens=False - ) - assistant_tokens_2.append(eos_token_id) - accumulator.add_assistant( - text=assistant_response_2, - token_ids=assistant_tokens_2, - logprobs=None, - ) - - print(f" ✓ Added 2 turns (4 messages)") - print(f" ✓ Total tokens: {len(accumulator._tokens)}") - print(f" ✓ Trainable positions: {sum(accumulator._mask)}") - - # ============================================================================ - # Step 3: Extract episode tensors using get_data() - # ============================================================================ - print("\n[3/7] Extracting episode tensors via get_data()...") - - episode_data = accumulator.get_data() - - all_token_ids = episode_data.token_ids.unsqueeze(0) # [1, seq_len] - response_mask = episode_data.response_mask.unsqueeze(0) # [1, seq_len] - - # Create loss_mask via torch.roll (same as in main_v2.py line 1050) - loss_mask = torch.roll(response_mask.float(), shifts=-1, dims=-1) - loss_mask[:, -1] = 0.0 - - print(f" ✓ all_token_ids shape: {all_token_ids.shape}") - print(f" ✓ response_mask shape: {response_mask.shape}") - print(f" ✓ loss_mask shape: {loss_mask.shape}") - print(f" ✓ Trainable positions (loss_mask.sum()): {loss_mask.sum().item()}") - - # V6: Show suffix positions in masks - suffix_positions = [] - for i in range(len(episode_data.token_ids) - 1): - if episode_data.response_mask[i] and not episode_data.response_mask[i + 1]: - # This is an EOS position (trainable followed by non-trainable suffix) - if i + 1 < len(episode_data.token_ids): - suffix_positions.append(i + 1) - - print(f" ✓ Detected suffix positions: {suffix_positions}") - if suffix_positions: - print( - f" Suffix tokens: {[episode_data.token_ids[p].item() for p in suffix_positions]}" - ) - - # ============================================================================ - # Step 4: Create dummy logits - # ============================================================================ - print("\n[4/7] Creating dummy logits...") - - # Use actual vocab size that includes special tokens - max_token_id = max(all_token_ids.max().item(), eos_token_id) - vocab_size = max_token_id + 100 # Add buffer for safety - batch_size = 1 - seq_len = all_token_ids.shape[1] - - logits = create_dummy_logits(batch_size, seq_len, vocab_size, temperature=1.0) - - print(f" ✓ Logits shape: {logits.shape}") - print(f" ✓ Vocab size (with buffer): {vocab_size}") - print(f" ✓ Max token ID in sequence: {all_token_ids.max().item()}") - - # ============================================================================ - # Step 5: Compute logprobs (policy path) - # ============================================================================ - print("\n[5/7] Computing logprobs (policy path)...") - - targets_policy = create_shifted_targets(all_token_ids, loss_mask) - logprobs_policy = compute_logprobs( - logits, targets_policy, ignore_index=CROSS_ENTROPY_IGNORE_IDX - ) - - print(f" ✓ targets_policy shape: {targets_policy.shape}") - print(f" ✓ logprobs_policy shape: {logprobs_policy.shape}") - print( - f" ✓ Non-IGNORE positions: {(targets_policy != CROSS_ENTROPY_IGNORE_IDX).sum().item()}" - ) - - # ============================================================================ - # Step 6: Compute ref_logprobs (ref model path - SAME logits!) - # ============================================================================ - print("\n[6/7] Computing ref_logprobs (ref model path with SAME logits)...") - - targets_ref = create_shifted_targets(all_token_ids, loss_mask) - logprobs_ref = compute_logprobs( - logits, targets_ref, ignore_index=CROSS_ENTROPY_IGNORE_IDX - ) - - print(f" ✓ targets_ref shape: {targets_ref.shape}") - print(f" ✓ logprobs_ref shape: {logprobs_ref.shape}") - print( - f" ✓ Non-IGNORE positions: {(targets_ref != CROSS_ENTROPY_IGNORE_IDX).sum().item()}" - ) - - # ============================================================================ - # CRITICAL: Verify alignment - # ============================================================================ - print("\n" + "=" * 80) - print("ALIGNMENT VERIFICATION") - print("=" * 80) - - # Check 1: Targets should be identical - targets_match = torch.equal(targets_policy, targets_ref) - print(f"\n✓ Targets match: {targets_match}") - if not targets_match: - print(" 🔥 BUG DETECTED: Targets differ between policy and ref paths!") - - # Check 2: Logprobs should be identical (since we used SAME logits) - logprobs_match = torch.allclose(logprobs_policy, logprobs_ref, atol=1e-6) - print(f"✓ Logprobs match: {logprobs_match}") - if not logprobs_match: - print(" 🔥 BUG DETECTED: Logprobs differ even with same logits!") - max_diff = (logprobs_policy - logprobs_ref).abs().max().item() - print(f" Max difference: {max_diff}") - - # Check 3: Logprob diff should be near zero - logprob_diff = logprobs_ref - logprobs_policy - masked_diff = logprob_diff * loss_mask - num_trainable = loss_mask.sum().clamp(min=1.0) - - diff_mean = (masked_diff.sum() / num_trainable).item() - diff_min = logprob_diff[loss_mask.bool()].min().item() if num_trainable > 0 else 0.0 - diff_max = logprob_diff[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0 - - print(f"\nLogprob diff statistics:") - print(f" Mean: {diff_mean:.6f}") - print(f" Min: {diff_min:.6f}") - print(f" Max: {diff_max:.6f}") - - if abs(diff_mean) > 0.01 or abs(diff_min) > 1.0 or abs(diff_max) > 1.0: - print(" 🔥 WARNING: Large logprob diff detected!") - else: - print(" ✓ Logprob diff is small (alignment is correct)") - - # ============================================================================ - # Step 7: Call simple_grpo_loss and verify no explosion - # ============================================================================ - print("\n[7/7] Computing GRPO loss...") - - advantages = torch.tensor([[1.0]]) # Dummy advantage - - result = simple_grpo_loss_minimal( - logits=logits, - input_ids=all_token_ids, - loss_mask=loss_mask, - ref_logprobs=logprobs_ref, - advantages=advantages, - beta=0.1, - ) - - loss = result["loss"] - kl = result["kl"] - - kl_masked = kl * loss_mask - kl_mean = (kl_masked.sum() / num_trainable).item() - kl_max = kl[loss_mask.bool()].max().item() if num_trainable > 0 else 0.0 - - print(f"\n Loss: {loss.item():.6f}") - print(f" KL mean: {kl_mean:.6f}") - print(f" KL max: {kl_max:.6f}") - - if loss.item() > 1000: - print(" 🔥 LOSS EXPLOSION DETECTED!") - elif kl_max > 100: - print(" 🔥 KL EXPLOSION DETECTED!") - else: - print(" ✓ Loss and KL are reasonable") - - # ============================================================================ - # Print detailed comparison - # ============================================================================ - print_detailed_comparison(result, all_token_ids, tokenizer) - - # ============================================================================ - # V6: Check suffix positions specifically - # ============================================================================ - print("\n" + "=" * 80) - print("V6 SUFFIX TOKEN ANALYSIS") - print("=" * 80) - - if suffix_positions: - print(f"\nSuffix positions: {suffix_positions}") - for pos in suffix_positions: - tok_id = all_token_ids[0, pos].item() - tok_str = tokenizer.decode([tok_id]) - mask = loss_mask[0, pos].item() - target = result["targets"][0, pos].item() - - print(f"\n Position {pos}:") - print(f" Token ID: {tok_id} ({tok_str!r})") - print(f" loss_mask: {mask:.1f} (should be 0.0)") - print(f" target: {target} (should be {CROSS_ENTROPY_IGNORE_IDX})") - - if mask != 0.0: - print(f" 🔥 BUG: Suffix position has non-zero loss_mask!") - if target != CROSS_ENTROPY_IGNORE_IDX: - print( - f" 🔥 BUG: Suffix position has valid target instead of IGNORE!" - ) - else: - print("\n No suffix positions detected (unexpected for V6!)") - - # ============================================================================ - # Final summary - # ============================================================================ - print("\n" + "=" * 80) - print("TEST SUMMARY") - print("=" * 80) - - all_checks_pass = ( - targets_match - and logprobs_match - and abs(diff_mean) < 0.01 - and loss.item() < 1000 - and kl_max < 100 - ) - - if all_checks_pass: - print("\n✅ ALL CHECKS PASSED") - print(" - Targets are identical in policy and ref paths") - print(" - Logprobs are identical (with same logits)") - print(" - Logprob diff is near zero") - print(" - No loss explosion") - print(" - No KL explosion") - print("\n CONCLUSION: No alignment bug detected in V6 implementation.") - print(" The KL explosion issue is likely due to:") - print(" - Initial model divergence between policy and ref") - print(" - Real model behavior (not a bug in alignment)") - print(" - Possibly suffix token handling in real training") - else: - print("\n❌ CHECKS FAILED") - print(" CONCLUSION: Potential bug detected! Review the implementation.") - if not targets_match: - print(" - Targets differ between paths") - if not logprobs_match: - print(" - Logprobs differ even with same logits") - if abs(diff_mean) > 0.01: - print(f" - Large logprob diff mean: {diff_mean}") - if loss.item() > 1000: - print(f" - Loss explosion: {loss.item()}") - if kl_max > 100: - print(f" - KL explosion: {kl_max}") - - print("\n" + "=" * 80) - print() - - -if __name__ == "__main__": - test_loss_alignment() diff --git a/debug/test_loss_mask_torch_roll.py b/debug/test_loss_mask_torch_roll.py deleted file mode 100644 index fd0b481da..000000000 --- a/debug/test_loss_mask_torch_roll.py +++ /dev/null @@ -1,580 +0,0 @@ -#!/usr/bin/env python3 -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Test script for the FINAL loss_mask design with torch.roll. - -Tests the updated design where: -- loss_mask created via torch.roll from response_mask -- create_shifted_targets with optional loss_mask parameter -- compute_logprobs takes targets (no align parameter) -- Full integration with loss computation -""" - -import torch -import torch.nn.functional as F - - -CROSS_ENTROPY_IGNORE_IDX = -100 - - -def create_loss_mask_torch_roll(response_mask: torch.Tensor) -> torch.Tensor: - """ - Create loss_mask from response_mask using torch.roll. - - This is the FINAL design - simple shift with torch.roll. - - Args: - response_mask: [seq_len] bool tensor - - Returns: - loss_mask: [seq_len] float tensor (0.0/1.0) - """ - loss_mask = torch.roll(response_mask, shifts=-1, dims=0).float() - loss_mask[-1] = 0.0 # Last position should not train - return loss_mask - - -def create_shifted_targets( - input_ids: torch.Tensor, - loss_mask: torch.Tensor | None = None, - ignore_index: int = CROSS_ENTROPY_IGNORE_IDX, -) -> torch.Tensor: - """ - Create next-token prediction targets using torch.roll. - Maintains same shape as input_ids. - - Args: - input_ids: [batch, seq_len] or [seq_len] - Input token IDs - loss_mask: [batch, seq_len] or [seq_len] - Trainable positions (bool or float) - If None, all positions are trainable - ignore_index: Value for masked positions (default: -100) - - Returns: - targets: Same shape as input_ids - targets[i] = input_ids[i+1] where trainable, else ignore_index - """ - # If no loss_mask provided, all positions trainable - if loss_mask is None: - loss_mask = torch.ones_like(input_ids, dtype=torch.float) - - if input_ids.dim() == 1: - # 1D case - targets = torch.roll(input_ids, shifts=-1, dims=0) - targets[-1] = ignore_index # Last position wraps, mask it - - # Apply loss_mask - targets = torch.where( - loss_mask.bool(), targets, torch.full_like(targets, ignore_index) - ) - else: - # 2D case (batched) - targets = torch.roll(input_ids, shifts=-1, dims=-1) - targets[:, -1] = ignore_index # Last position wraps, mask it - - # Apply loss_mask - targets = torch.where( - loss_mask.bool(), targets, torch.full_like(targets, ignore_index) - ) - - return targets - - -def compute_logprobs( - logits: torch.Tensor, - targets: torch.Tensor, - temperature: float = 1.0, - ignore_index: int = CROSS_ENTROPY_IGNORE_IDX, -) -> torch.Tensor: - """ - Computes the log probabilities of target tokens given the model logits. - - Args: - logits: Model logits [batch, seq_len, vocab] - targets: Target token IDs [batch, seq_len] - temperature: Temperature for scaling - ignore_index: Positions with this value in targets are masked (get 0.0 logprob) - - Returns: - logprobs: [batch, seq_len] - Positions with ignore_index automatically get 0.0 - """ - scaled_logits = logits / temperature - scaled_logits_fp32 = scaled_logits.float() - - batch_size, seq_len, vocab_size = scaled_logits_fp32.shape - logprobs = -F.cross_entropy( - scaled_logits_fp32.reshape(-1, vocab_size), - targets.reshape(-1).long(), - reduction="none", - ignore_index=ignore_index, - ) - - return logprobs.reshape(batch_size, seq_len) - - -def simple_grpo_loss( - logits: torch.Tensor, # [b, seq_len, vocab] - input_ids: torch.Tensor, # [b, seq_len] - loss_mask: torch.Tensor, # [b, seq_len] - 0.0/1.0 float - ref_logprobs: torch.Tensor, - advantages: torch.Tensor, - beta: float = 0.1, -) -> torch.Tensor: - """ - GRPO loss with proper next-token prediction using torch.roll. - - Per-sequence normalization: Each sequence's loss is averaged by its own - trainable token count, then averaged across the batch. - """ - # Create targets using utility function - targets = create_shifted_targets(input_ids, loss_mask) # [b, seq_len] - - # Compute policy logprobs (ignore_index automatically zeros masked positions) - logprobs = compute_logprobs( - logits, targets, ignore_index=CROSS_ENTROPY_IGNORE_IDX - ) # [b, seq_len] - masked positions already 0.0! - - # KL divergence (masked positions are 0.0, so they don't contribute) - kl = torch.exp(ref_logprobs - logprobs) - (ref_logprobs - logprobs) - 1 - - # Policy loss - per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages - per_token_loss = -(per_token_policy_loss - beta * kl) # [b, seq_len] - - # Per-sequence normalization, then batch average - loss = ( - (per_token_loss * loss_mask).sum(dim=1) / loss_mask.sum(dim=1).clamp(min=1.0) - ).mean() # [b] → scalar - - return loss - - -# ============================================================================ -# TESTS -# ============================================================================ - - -def test_torch_roll_loss_mask(): - """Test 1: loss_mask creation using torch.roll""" - print("\n" + "=" * 80) - print("TEST 1: Creating loss_mask from response_mask using torch.roll") - print("=" * 80) - - # Sequence: [prompt, prompt, Hello, there, EOS, user, user] - response_mask = torch.tensor([False, False, True, True, True, False, False]) - - loss_mask = create_loss_mask_torch_roll(response_mask) - - print("\nComparison:") - print(" Idx Response Loss_Mask Explanation") - print(" --- -------- --------- -----------") - for i in range(len(response_mask)): - resp = "1" if response_mask[i] else "0" - loss = f"{loss_mask[i].item():.1f}" - - if i < len(response_mask) - 1: - next_resp = "1" if response_mask[i + 1] else "0" - explanation = f"next is response={next_resp}" - else: - explanation = "last position" - - print(f" {i:3d} {resp:8s} {loss:9s} {explanation}") - - # Verify: loss_mask[i] should equal response_mask[i+1] - expected = torch.cat([response_mask[1:], torch.tensor([False])]).float() - assert torch.allclose( - loss_mask, expected - ), "loss_mask should be response_mask shifted by 1" - - print("\n✅ TEST 1 PASSED: torch.roll creates correct loss_mask") - print(" loss_mask[i] = response_mask[i+1] (shifted by 1)") - - -def test_create_shifted_targets_with_mask(): - """Test 2: create_shifted_targets with provided loss_mask""" - print("\n" + "=" * 80) - print("TEST 2: create_shifted_targets with provided loss_mask") - print("=" * 80) - - input_ids = torch.tensor([1, 2, 3, 4, 100]) - loss_mask = torch.tensor([0.0, 1.0, 1.0, 1.0, 0.0]) - - targets = create_shifted_targets(input_ids, loss_mask) - - print("\nResults:") - print(" Idx Input Loss_Mask Target Expected") - print(" --- ----- --------- ---------- --------") - - expected_targets = [CROSS_ENTROPY_IGNORE_IDX, 3, 4, 100, CROSS_ENTROPY_IGNORE_IDX] - - for i in range(len(input_ids)): - inp = input_ids[i].item() - loss = loss_mask[i].item() - tgt = targets[i].item() - exp = expected_targets[i] - - tgt_str = "IGNORE" if tgt == CROSS_ENTROPY_IGNORE_IDX else f"{tgt:6d}" - exp_str = "IGNORE" if exp == CROSS_ENTROPY_IGNORE_IDX else f"{exp:6d}" - - match = "✓" if tgt == exp else "✗" - print(f" {i:3d} {inp:5d} {loss:9.1f} {tgt_str:10s} {exp_str:8s} {match}") - - assert torch.equal( - targets, torch.tensor(expected_targets) - ), "Targets should match expected" - - print("\n✅ TEST 2 PASSED: create_shifted_targets works with provided loss_mask") - - -def test_create_shifted_targets_none_mask(): - """Test 3: create_shifted_targets with None loss_mask (all trainable)""" - print("\n" + "=" * 80) - print("TEST 3: create_shifted_targets with loss_mask=None (all trainable)") - print("=" * 80) - - input_ids = torch.tensor([1, 2, 3, 4, 100]) - - targets = create_shifted_targets(input_ids, loss_mask=None) - - print("\nResults:") - print(" Idx Input Target Expected") - print(" --- ----- ---------- --------") - - # All positions trainable except last (wraps) - expected_targets = [2, 3, 4, 100, CROSS_ENTROPY_IGNORE_IDX] - - for i in range(len(input_ids)): - inp = input_ids[i].item() - tgt = targets[i].item() - exp = expected_targets[i] - - tgt_str = "IGNORE" if tgt == CROSS_ENTROPY_IGNORE_IDX else f"{tgt:6d}" - exp_str = "IGNORE" if exp == CROSS_ENTROPY_IGNORE_IDX else f"{exp:6d}" - - match = "✓" if tgt == exp else "✗" - print(f" {i:3d} {inp:5d} {tgt_str:10s} {exp_str:8s} {match}") - - assert torch.equal( - targets, torch.tensor(expected_targets) - ), "Targets should match expected" - - print("\n✅ TEST 3 PASSED: create_shifted_targets with None creates all trainable") - - -def test_compute_logprobs_new_signature(): - """Test 4: compute_logprobs with new signature (targets, no align)""" - print("\n" + "=" * 80) - print("TEST 4: compute_logprobs with new signature") - print("=" * 80) - - batch_size, seq_len, vocab_size = 2, 5, 200 - - # Create dummy logits - logits = torch.randn(batch_size, seq_len, vocab_size) - - # Create targets with some IGNORE positions - targets = torch.tensor( - [ - [2, 3, 4, CROSS_ENTROPY_IGNORE_IDX, CROSS_ENTROPY_IGNORE_IDX], - [ - 6, - 7, - CROSS_ENTROPY_IGNORE_IDX, - CROSS_ENTROPY_IGNORE_IDX, - CROSS_ENTROPY_IGNORE_IDX, - ], - ] - ) - - logprobs = compute_logprobs(logits, targets) - - print(f"\nLogits shape: {logits.shape}") - print(f"Targets shape: {targets.shape}") - print(f"Logprobs shape: {logprobs.shape}") - - print("\nLogprobs values:") - print(f" Sequence 0: {logprobs[0].tolist()}") - print(f" Sequence 1: {logprobs[1].tolist()}") - - # Verify that IGNORE positions have 0.0 logprob - assert logprobs[0, 3].item() == 0.0, "IGNORE position should have 0.0 logprob" - assert logprobs[0, 4].item() == 0.0, "IGNORE position should have 0.0 logprob" - assert logprobs[1, 2].item() == 0.0, "IGNORE position should have 0.0 logprob" - assert logprobs[1, 3].item() == 0.0, "IGNORE position should have 0.0 logprob" - assert logprobs[1, 4].item() == 0.0, "IGNORE position should have 0.0 logprob" - - print("\n✅ TEST 4 PASSED: compute_logprobs handles ignore_index correctly") - print(" Positions with target=IGNORE get 0.0 logprob automatically") - - -def test_batched_targets(): - """Test 5: Batched processing with 2D tensors""" - print("\n" + "=" * 80) - print("TEST 5: Batched processing with 2D tensors") - print("=" * 80) - - input_ids = torch.tensor( - [ - [1, 2, 3, 4, 100], - [5, 6, 7, 100, 0], - ] - ) - - loss_mask = torch.tensor( - [ - [0.0, 1.0, 1.0, 1.0, 0.0], - [1.0, 1.0, 1.0, 0.0, 0.0], - ] - ) - - targets = create_shifted_targets(input_ids, loss_mask) - - print("\nBatch results:") - print("Sequence 0:") - print(f" input_ids: {input_ids[0].tolist()}") - print(f" loss_mask: {loss_mask[0].tolist()}") - print(f" targets: {targets[0].tolist()}") - - print("\nSequence 1:") - print(f" input_ids: {input_ids[1].tolist()}") - print(f" loss_mask: {loss_mask[1].tolist()}") - print(f" targets: {targets[1].tolist()}") - - # Verify shapes - assert input_ids.shape == targets.shape, "Shapes should match!" - assert input_ids.shape == loss_mask.shape, "Shapes should match!" - - print(f"\n✅ Shape maintained: {input_ids.shape} → {targets.shape}") - - # Verify values - expected_seq0 = [CROSS_ENTROPY_IGNORE_IDX, 3, 4, 100, CROSS_ENTROPY_IGNORE_IDX] - expected_seq1 = [6, 7, 100, CROSS_ENTROPY_IGNORE_IDX, CROSS_ENTROPY_IGNORE_IDX] - - assert torch.equal( - targets[0], torch.tensor(expected_seq0) - ), "Seq 0 targets should match" - assert torch.equal( - targets[1], torch.tensor(expected_seq1) - ), "Seq 1 targets should match" - - print("✅ TEST 5 PASSED: Batch processing works correctly") - - -def test_full_grpo_loss(): - """Test 6: Full GRPO loss computation""" - print("\n" + "=" * 80) - print("TEST 6: Full GRPO loss computation") - print("=" * 80) - - batch_size, seq_len, vocab_size = 2, 5, 200 - - # Create dummy data - logits = torch.randn(batch_size, seq_len, vocab_size) - input_ids = torch.tensor( - [ - [1, 2, 3, 4, 100], - [5, 6, 7, 100, 0], - ] - ) - loss_mask = torch.tensor( - [ - [0.0, 1.0, 1.0, 1.0, 0.0], - [1.0, 1.0, 1.0, 0.0, 0.0], - ] - ) - - # Create ref_logprobs (using same logits for simplicity) - targets = create_shifted_targets(input_ids, loss_mask) - ref_logprobs = compute_logprobs(logits, targets) - - # Advantages - advantages = torch.tensor([[0.5], [1.0]]) - - # Compute loss - loss = simple_grpo_loss( - logits, input_ids, loss_mask, ref_logprobs, advantages, beta=0.1 - ) - - print(f"\nLoss value: {loss.item():.6f}") - print(f"Loss shape: {loss.shape} (should be scalar)") - - assert loss.dim() == 0, "Loss should be scalar" - assert not torch.isnan(loss), "Loss should not be NaN" - assert not torch.isinf(loss), "Loss should not be inf" - - print("\n✅ TEST 6 PASSED: Full GRPO loss computation works") - print( - " Per-sequence normalization: each sequence averaged by its own trainable count" - ) - - -def test_multi_turn_integration(): - """Test 7: Multi-turn conversation integration test""" - print("\n" + "=" * 80) - print("TEST 7: Multi-turn conversation integration") - print("=" * 80) - - # Sequence: [prompt, prompt, Hello, there, EOS, prompt, prompt, I, am, bob, EOS] - tokens = torch.tensor([1, 2, 3, 4, 100, 5, 6, 7, 8, 9, 100]) - response_mask = torch.tensor( - [False, False, True, True, True, False, False, True, True, True, True] - ) - - # Create loss_mask using torch.roll - loss_mask = create_loss_mask_torch_roll(response_mask) - - # Create targets - targets = create_shifted_targets(tokens, loss_mask) - - print("\nMulti-turn sequence:") - print(" Idx Token Resp Loss Target Explanation") - print(" --- ------- ---- ----- ---------- -----------") - - token_names = [ - "prompt", - "prompt", - "Hello", - "there", - "EOS", - "prompt", - "prompt", - "I", - "am", - "bob", - "EOS", - ] - - for i in range(len(tokens)): - resp = "1" if response_mask[i] else "0" - loss = f"{loss_mask[i].item():.1f}" - tgt = targets[i].item() - - if tgt == CROSS_ENTROPY_IGNORE_IDX: - tgt_str = "IGNORE" - explanation = "not trainable" - else: - if i < len(token_names) - 1: - tgt_str = f"{tgt:6d}" - explanation = f"predicts '{token_names[i+1]}'" - else: - tgt_str = f"{tgt:6d}" - explanation = "predicts ???" - - if loss_mask[i].item() == 1.0: - explanation += " ✓" - - print( - f" {i:3d} {token_names[i]:7s} {resp:4s} {loss:5s} {tgt_str:10s} {explanation}" - ) - - # Verify key positions - assert loss_mask[1].item() == 1.0, "Position 1: predicts Hello → trainable" - assert loss_mask[2].item() == 1.0, "Position 2: predicts there → trainable" - assert loss_mask[3].item() == 1.0, "Position 3: predicts EOS → trainable" - assert loss_mask[4].item() == 0.0, "Position 4: AT EOS → not trainable" - assert loss_mask[6].item() == 1.0, "Position 6: predicts I → trainable" - assert loss_mask[10].item() == 0.0, "Position 10: AT EOS → not trainable" - - total_trainable = loss_mask.sum().item() - total_response_tokens = response_mask.sum().item() - - print(f"\n📊 Statistics:") - print(f" Total tokens: {len(tokens)}") - print(f" Response tokens (response_mask=1): {int(total_response_tokens)}") - print(f" Trainable positions (loss_mask=1.0): {int(total_trainable)}") - print( - f" Difference: {int(total_response_tokens - total_trainable)} (EOS positions)" - ) - - print("\n✅ TEST 7 PASSED: Multi-turn integration works correctly") - - -def test_per_sequence_normalization(): - """Test 8: Verify per-sequence normalization in loss""" - print("\n" + "=" * 80) - print("TEST 8: Per-sequence normalization verification") - print("=" * 80) - - batch_size, seq_len, vocab_size = 3, 10, 200 - - # Create sequences with DIFFERENT numbers of trainable tokens - loss_mask = torch.tensor( - [ - [1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], # 3 trainable - [1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0], # 5 trainable - [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0], # 7 trainable - ] - ) - - trainable_counts = loss_mask.sum(dim=1) - print(f"\nTrainable counts per sequence: {trainable_counts.tolist()}") - - # Create dummy data - logits = torch.randn(batch_size, seq_len, vocab_size) - input_ids = torch.randint(0, vocab_size, (batch_size, seq_len)) - - targets = create_shifted_targets(input_ids, loss_mask) - ref_logprobs = compute_logprobs(logits, targets) - advantages = torch.tensor([[1.0], [1.0], [1.0]]) - - # Compute loss - loss = simple_grpo_loss( - logits, input_ids, loss_mask, ref_logprobs, advantages, beta=0.1 - ) - - print(f"\nLoss: {loss.item():.6f}") - - # Verify computation is per-sequence - # Each sequence should contribute equally to the final loss - # even though they have different numbers of trainable tokens - - print("\n✅ TEST 8 PASSED: Per-sequence normalization works") - print(" Each sequence normalized by its own trainable token count") - print(" .sum(dim=1) creates [batch] tensor → per-sequence sums") - print(" Each divided by its own trainable count → equal contribution") - - -def main(): - """Run all tests""" - print("\n" + "=" * 80) - print("TESTING: FINAL loss_mask Design with torch.roll") - print("=" * 80) - - test_torch_roll_loss_mask() - test_create_shifted_targets_with_mask() - test_create_shifted_targets_none_mask() - test_compute_logprobs_new_signature() - test_batched_targets() - test_full_grpo_loss() - test_multi_turn_integration() - test_per_sequence_normalization() - - print("\n" + "=" * 80) - print("ALL TESTS PASSED ✅") - print("=" * 80) - - print("\n📋 Summary of Validated Features:") - print("1. ✅ loss_mask created via torch.roll (simple shift)") - print("2. ✅ create_shifted_targets with optional loss_mask") - print("3. ✅ compute_logprobs takes targets (no align parameter)") - print("4. ✅ ignore_index automatically zeros masked logprobs") - print("5. ✅ Shapes maintained throughout ([seq_len] → [seq_len])") - print("6. ✅ Batch processing works correctly") - print("7. ✅ Multi-turn conversations work as expected") - print("8. ✅ Per-sequence normalization in loss") - - print("\n🎯 Design Validation Complete:") - print("• loss_mask = torch.roll(response_mask, -1).float() + tensor[-1]=0.0") - print("• create_shifted_targets(input_ids, loss_mask=None) - optional mask") - print("• compute_logprobs(logits, targets) - simplified API") - print("• All functions tested and validated!") - print("\n✨ Ready for implementation in main codebase!") - print() - - -if __name__ == "__main__": - main() diff --git a/debug/test_token_accumulator_v2.py b/debug/test_token_accumulator_v2.py deleted file mode 100644 index b9cc3e6eb..000000000 --- a/debug/test_token_accumulator_v2.py +++ /dev/null @@ -1,610 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Token Accumulator V2 Tests - -Cleaner, parametrized tests for TokenAccumulator v5. -All tests run with both enable_thinking=True and enable_thinking=False. -""" - -import sys -from pathlib import Path - -# Add parent directory to path for imports -sys.path.insert(0, str(Path(__file__).parent.parent)) - -import pytest - -from debug.token_accumulator_fn_v5 import TokenAccumulator, TruncationReason -from vllm.transformers_utils.tokenizer import get_tokenizer - - -# ============================================================================ -# Utilities -# ============================================================================ - -MODEL_NAME = "Qwen/Qwen3-1.7B" - - -def assert_no_training_after_eos(tokens, response_mask, eos_token_id): - """ - Verify no tokens after EOS are trainable (the bug we fixed). - - For each EOS token, check that the NEXT position does not have response_mask=True. - This prevents training on chat template suffix tokens like '\n' after EOS. - """ - if len(tokens) == 0: - return - - # Create mask of positions that come AFTER an EOS token - eos_mask = [t == eos_token_id for t in tokens] - - # Shift right: position i is True if position i-1 was EOS - shifted_mask = [False] + eos_mask[ - :-1 - ] # Prepend False since position 0 has no "before" - - for i, (after_eos, is_trainable) in enumerate(zip(shifted_mask, response_mask)): - if after_eos and is_trainable: - raise AssertionError( - f"❌ BUG: Token at position {i} is trainable but comes after EOS!\n" - f" Token ID: {tokens[i]}\n" - f" response_mask: {is_trainable}\n" - f" Previous token (EOS): {tokens[i-1]}" - ) - - -def create_accumulator( - max_seq_len=2048, enable_thinking=True, system_content="You are helpful." -): - """Factory for creating test accumulators.""" - tokenizer = get_tokenizer(MODEL_NAME) - return TokenAccumulator( - tokenizer=tokenizer, - messages=[{"role": "system", "content": system_content}], - max_seq_len=max_seq_len, - eos_token_id=tokenizer.eos_token_id, - enable_thinking=enable_thinking, - ) - - -def mock_vllm_response(tokenizer, text, include_eos=True): - """ - Simulate vLLM generation (tokens without re-tokenizing with chat template). - This is what vLLM returns: raw content tokens + EOS. - """ - tokens = tokenizer.encode(text, add_special_tokens=False) - if include_eos: - tokens.append(tokenizer.eos_token_id) - return tokens - - -# ============================================================================ -# Test Cases -# ============================================================================ - - -@pytest.mark.parametrize("enable_thinking", [True, False]) -class TestBasicFunctionality: - """Core functionality tests.""" - - def test_single_turn_complete(self, enable_thinking): - """Test: system -> user -> assistant (complete with EOS).""" - acc = create_accumulator(enable_thinking=enable_thinking) - tokenizer = acc.tokenizer - - # User message - success = acc.add_user_message("Say hi") - assert success - - # Generate assistant response - response_tokens = mock_vllm_response(tokenizer, "Hello!", include_eos=True) - success = acc.add_assistant_response("Hello!", response_tokens) - - assert success, "Should accept complete response" - assert not acc.is_truncated - assert acc.finalize() - assert_no_training_after_eos( - acc.accumulated_tokens, acc.response_mask, tokenizer.eos_token_id - ) - - def test_truncated_response_no_eos(self, enable_thinking): - """Test: Response without EOS is rejected.""" - acc = create_accumulator(enable_thinking=enable_thinking) - tokenizer = acc.tokenizer - - acc.add_user_message("Say hi") - response_tokens = mock_vllm_response(tokenizer, "Hello!", include_eos=False) - success = acc.add_assistant_response("Hello!", response_tokens) - - assert not success, "Should reject response without EOS" - assert acc.is_truncated - assert acc.truncation_reason == TruncationReason.AGENT_TOO_LONG - - def test_multi_turn(self, enable_thinking): - """Test: system -> user -> assistant -> user -> assistant.""" - acc = create_accumulator(enable_thinking=enable_thinking) - tokenizer = acc.tokenizer - - # Turn 1 - assert acc.add_user_message("Hi") - resp1 = mock_vllm_response(tokenizer, "Hello!") - assert acc.add_assistant_response("Hello!", resp1) - - # Turn 2 - assert acc.add_user_message("Bye") - resp2 = mock_vllm_response(tokenizer, "Goodbye!") - assert acc.add_assistant_response("Goodbye!", resp2) - - assert acc.finalize() - assert not acc.is_truncated - assert_no_training_after_eos( - acc.accumulated_tokens, acc.response_mask, tokenizer.eos_token_id - ) - - -@pytest.mark.parametrize("enable_thinking", [True, False]) -class TestBudgetAndTruncation: - """Budget limits and truncation behavior.""" - - def test_user_message_truncated(self, enable_thinking): - """Test: User message exceeds budget.""" - acc = create_accumulator(enable_thinking=enable_thinking, max_seq_len=50) - - long_message = "word " * 100 # Way over budget - success = acc.add_user_message(long_message) - - assert not success, "Should truncate user message" - assert acc.is_truncated - assert acc.truncation_reason == TruncationReason.USER_TOO_LONG - - def test_assistant_response_exceeds_budget(self, enable_thinking): - """Test: Assistant response exceeds budget.""" - acc = create_accumulator(enable_thinking=enable_thinking, max_seq_len=100) - tokenizer = acc.tokenizer - - acc.add_user_message("Hi") - - # Create response that exceeds remaining budget - long_response = mock_vllm_response(tokenizer, "word " * 200, include_eos=True) - success = acc.add_assistant_response("long response", long_response) - - assert not success, "Should reject oversized response" - assert acc.is_truncated - assert acc.truncation_reason == TruncationReason.AGENT_TOO_LONG - - def test_zero_budget_user(self, enable_thinking): - """Test: Cannot add user message when budget=0.""" - system_content = "helpful " * 100 # Fill the budget - acc = create_accumulator( - enable_thinking=enable_thinking, - max_seq_len=100, - system_content=system_content, - ) - - assert acc.get_remaining_budget() == 0 - success = acc.add_user_message("Hi") - - assert not success, "Should fail with zero budget" - - def test_zero_budget_assistant(self, enable_thinking): - """Test: Cannot add assistant response when budget=0.""" - system_content = "helpful " * 100 - acc = create_accumulator( - enable_thinking=enable_thinking, - max_seq_len=100, - system_content=system_content, - ) - tokenizer = acc.tokenizer - - assert acc.get_remaining_budget() == 0 - response = mock_vllm_response(tokenizer, "Hi", include_eos=True) - success = acc.add_assistant_response("Hi", response) - - assert not success, "Should fail with zero budget" - - def test_initial_messages_too_long(self, enable_thinking): - """Test: Initial system message exceeds max_seq_len.""" - long_system = "You are helpful." * 20 - acc = create_accumulator( - enable_thinking=enable_thinking, max_seq_len=50, system_content=long_system - ) - - assert acc.is_truncated - assert acc.truncation_reason == TruncationReason.USER_TOO_LONG - assert len(acc.accumulated_tokens) <= 50 - assert acc.get_remaining_budget() == 0 - - -@pytest.mark.parametrize("enable_thinking", [True, False]) -class TestResponseMaskCorrectness: - """Verify response_mask correctness (the core bug fix).""" - - def test_generation_prompt_not_trainable(self, enable_thinking): - """Test: Generation prompt tokens have response_mask=False.""" - acc = create_accumulator(enable_thinking=enable_thinking) - tokenizer = acc.tokenizer - - initial_len = len(acc.accumulated_tokens) - acc.add_user_message("Hi") - response = mock_vllm_response(tokenizer, "Hello!", include_eos=True) - acc.add_assistant_response("Hello!", response) - - # Count non-trainable tokens after initial messages - # Should be: user message tokens + generation prompt tokens - non_trainable_after_initial = sum( - not mask for mask in acc.response_mask[initial_len:] - ) - - # Generation prompt should not be trainable - assert non_trainable_after_initial >= acc.generation_prompt_len, ( - f"Generation prompt ({acc.generation_prompt_len} tokens) should not be trainable, " - f"but only {non_trainable_after_initial} non-trainable tokens found" - ) - - def test_vllm_tokens_trainable(self, enable_thinking): - """Test: All vLLM tokens (including EOS) are trainable.""" - acc = create_accumulator(enable_thinking=enable_thinking) - tokenizer = acc.tokenizer - - initial_tokens = len(acc.accumulated_tokens) - acc.add_user_message("Hi") - after_user = len(acc.accumulated_tokens) - - response = mock_vllm_response(tokenizer, "Hello!", include_eos=True) - acc.add_assistant_response("Hello!", response) - - # Count trainable tokens added by assistant response - # Skip: initial + user message + generation prompt - assistant_start = after_user + acc.generation_prompt_len - trainable_assistant = sum(acc.response_mask[assistant_start:]) - - assert trainable_assistant == len(response), ( - f"All {len(response)} vLLM tokens should be trainable, " - f"got {trainable_assistant}" - ) - - # EOS should be trainable - assert acc.accumulated_tokens[-1] == tokenizer.eos_token_id - assert acc.response_mask[-1] == True, "EOS token must be trainable" - - def test_no_training_after_eos_single_turn(self, enable_thinking): - """Test: No trainable tokens after EOS (single turn).""" - acc = create_accumulator(enable_thinking=enable_thinking) - tokenizer = acc.tokenizer - - acc.add_user_message("Hi") - response = mock_vllm_response(tokenizer, "Hello!", include_eos=True) - acc.add_assistant_response("Hello!", response) - - assert_no_training_after_eos( - acc.accumulated_tokens, acc.response_mask, tokenizer.eos_token_id - ) - - def test_no_training_after_eos_multi_turn(self, enable_thinking): - """Test: No trainable tokens after EOS (multi-turn).""" - acc = create_accumulator(enable_thinking=enable_thinking) - tokenizer = acc.tokenizer - - # Turn 1 - acc.add_user_message("Hi") - acc.add_assistant_response("Hello!", mock_vllm_response(tokenizer, "Hello!")) - - # Turn 2 - acc.add_user_message("Bye") - acc.add_assistant_response( - "Goodbye!", mock_vllm_response(tokenizer, "Goodbye!") - ) - - # Turn 3 - acc.add_user_message("See you") - acc.add_assistant_response( - "Take care!", mock_vllm_response(tokenizer, "Take care!") - ) - - # Check no training after ANY EOS - assert_no_training_after_eos( - acc.accumulated_tokens, acc.response_mask, tokenizer.eos_token_id - ) - - def test_eos_token_is_trainable(self, enable_thinking): - """Test: EOS token itself should be trainable.""" - acc = create_accumulator(enable_thinking=enable_thinking) - tokenizer = acc.tokenizer - - acc.add_user_message("Hi") - response = mock_vllm_response(tokenizer, "Hello!", include_eos=True) - acc.add_assistant_response("Hello!", response) - - # Find all EOS positions - eos_positions = [ - i - for i, t in enumerate(acc.accumulated_tokens) - if t == tokenizer.eos_token_id - ] - - # Last EOS (from assistant) should be trainable - # Earlier EOS (from system/user) should NOT be trainable - assistant_eos = eos_positions[-1] - assert acc.response_mask[assistant_eos], "Assistant EOS must be trainable" - - -@pytest.mark.parametrize("enable_thinking", [True, False]) -class TestMultiTurnTruncation: - """Multi-turn truncation scenarios.""" - - def test_second_user_message_truncated(self, enable_thinking): - """Test: Second user message causes truncation.""" - acc = create_accumulator(enable_thinking=enable_thinking, max_seq_len=100) - tokenizer = acc.tokenizer - - # Turn 1 - should succeed - acc.add_user_message("Say hi") - resp1 = mock_vllm_response(tokenizer, "Hello! How can I help?") - acc.add_assistant_response("Hello! How can I help?", resp1) - - # Turn 2 - long user message should truncate - long_user = "This is a very long message. " * 20 - success = acc.add_user_message(long_user) - - assert not success, "Long user message should be truncated" - assert acc.is_truncated - assert acc.truncation_reason == TruncationReason.USER_TOO_LONG - - def test_second_assistant_response_truncated(self, enable_thinking): - """Test: Second assistant response exceeds budget.""" - acc = create_accumulator(enable_thinking=enable_thinking, max_seq_len=100) - tokenizer = acc.tokenizer - - # Turn 1 - acc.add_user_message("Hi") - resp1 = mock_vllm_response(tokenizer, "Hello! How can I assist you today?") - acc.add_assistant_response("Hello! How can I assist you today?", resp1) - - # Turn 2 - should fit - acc.add_user_message("Bye") - - # Long response should be rejected - long_response = mock_vllm_response(tokenizer, "word " * 100, include_eos=True) - success = acc.add_assistant_response("long response", long_response) - - assert not success, "Long response should be rejected" - assert acc.is_truncated - assert acc.truncation_reason == TruncationReason.AGENT_TOO_LONG - - -# ============================================================================ -# Comparison Tests -# ============================================================================ - - -def test_thinking_affects_generation_prompt_length(): - """Verify enable_thinking changes generation prompt length.""" - acc_thinking = create_accumulator(enable_thinking=True) - acc_no_thinking = create_accumulator(enable_thinking=False) - - # Qwen-specific behavior: thinking disabled adds placeholder tags - if "Qwen" in MODEL_NAME: - assert ( - acc_thinking.generation_prompt_len < acc_no_thinking.generation_prompt_len - ) - else: - # For models without thinking support, lengths should be equal - assert ( - acc_thinking.generation_prompt_len == acc_no_thinking.generation_prompt_len - ) - - -def test_thinking_affects_budget(): - """Verify enable_thinking changes budget calculations.""" - acc_thinking = create_accumulator(enable_thinking=True, max_seq_len=1000) - acc_no_thinking = create_accumulator(enable_thinking=False, max_seq_len=1000) - - # Qwen-specific behavior: thinking enabled has larger budget - if "Qwen" in MODEL_NAME: - assert ( - acc_thinking.get_remaining_budget() > acc_no_thinking.get_remaining_budget() - ) - else: - # For models without thinking support, budgets should be equal - assert ( - acc_thinking.get_remaining_budget() - == acc_no_thinking.get_remaining_budget() - ) - - -def test_thinking_affects_total_tokens(): - """Verify enable_thinking changes accumulated token count.""" - tokenizer = get_tokenizer(MODEL_NAME) - - acc_thinking = create_accumulator(enable_thinking=True) - acc_no_thinking = create_accumulator(enable_thinking=False) - - # Add same conversation to both - for acc in [acc_thinking, acc_no_thinking]: - acc.add_user_message("Hi") - response = mock_vllm_response(tokenizer, "Hello!") - acc.add_assistant_response("Hello!", response) - - # Qwen-specific behavior: thinking disabled has more tokens - if "Qwen" in MODEL_NAME: - assert len(acc_thinking.accumulated_tokens) < len( - acc_no_thinking.accumulated_tokens - ) - else: - # For models without thinking support, token counts should be equal - assert len(acc_thinking.accumulated_tokens) == len( - acc_no_thinking.accumulated_tokens - ) - - -# ============================================================================ -# Golden Test - Exact Token/Mask Validation -# ============================================================================ - - -def test_exact_token_and_mask_sequence_qwen(): - """ - Golden test: Verify EXACT token sequence and response_mask for a known conversation. - - This test uses hardcoded Qwen tokenizer to ensure we catch any regressions in: - - Token ordering - - Mask alignment - - Generation prompt placement - - vLLM response token handling - - Conversation: - - System: "Help" - - User: "Hi" → Assistant: "hello there" - - User: "i am bob" → Assistant: "Hi Bob" - """ - # Hardcode Qwen tokenizer for this golden test - tokenizer = get_tokenizer("Qwen/Qwen3-1.7B") - - acc = TokenAccumulator( - tokenizer=tokenizer, - messages=[{"role": "system", "content": "Help"}], - max_seq_len=2048, - eos_token_id=tokenizer.eos_token_id, - enable_thinking=False, - ) - - # Turn 1 - acc.add_user_message("Hi") - resp1 = [14990, 1052, 151645] # "hello there" + EOS - acc.add_assistant_response("hello there", resp1) - - # Turn 2 - acc.add_user_message("i am bob") - resp2 = [13048, 14261, 151645] # "Hi Bob" + EOS - acc.add_assistant_response("Hi Bob", resp2) - - # Expected tokens (golden values generated from generate_golden_test_values.py) - expected_tokens = [ - 151644, - 8948, - 198, - 12689, - 151645, - 198, - 151644, - 872, - 198, - 13048, # System + User 1 - 151645, - 198, - 151644, - 77091, - 198, - 151667, - 271, - 151668, - 271, - 14990, # Gen prompt + "hello" - 1052, - 151645, - 151644, - 872, - 198, - 72, - 1079, - 35192, - 151645, - 198, # " there" + EOS + User 2 - 151644, - 77091, - 198, - 151667, - 271, - 151668, - 271, - 13048, - 14261, - 151645, # Gen prompt + "Hi Bob" + EOS - ] - - # Expected mask (only vLLM response tokens are trainable) - expected_mask = [ - False, - False, - False, - False, - False, - False, - False, - False, - False, - False, # [0-9]: System + User 1 - False, - False, - False, - False, - False, - False, - False, - False, - False, - True, # [10-19]: User 1 end + Gen prompt + "hello" - True, - True, - False, - False, - False, - False, - False, - False, - False, - False, # [20-29]: " there" + EOS + User 2 - False, - False, - False, - False, - False, - False, - False, - True, - True, - True, # [30-39]: Gen prompt + "Hi Bob" + EOS - ] - - # Verify exact sequence - assert acc.accumulated_tokens == expected_tokens, ( - f"Token mismatch!\n" - f"Expected: {expected_tokens}\n" - f"Got: {acc.accumulated_tokens}\n" - f"\nFirst diff at index {next((i for i, (a, b) in enumerate(zip(expected_tokens, acc.accumulated_tokens)) if a != b), -1)}" - ) - - assert acc.response_mask == expected_mask, ( - f"Mask mismatch!\n" - f"Expected: {expected_mask}\n" - f"Got: {acc.response_mask}\n" - f"\nFirst diff at index {next((i for i, (a, b) in enumerate(zip(expected_mask, acc.response_mask)) if a != b), -1)}" - ) - - # Verify trainable count - assert ( - sum(expected_mask) == 6 - ), "Should have exactly 6 trainable tokens (2 responses × 3 tokens each)" - - # Verify EOS positions are trainable - eos_positions = [i for i, t in enumerate(expected_tokens) if t == 151645] - assistant_eos_positions = [21, 39] # Positions of assistant EOS tokens - for pos in assistant_eos_positions: - assert pos in eos_positions, f"Expected EOS at position {pos}" - assert expected_mask[pos], f"Assistant EOS at position {pos} must be trainable" - - # Verify no training after EOS - assert_no_training_after_eos(expected_tokens, expected_mask, tokenizer.eos_token_id) - - -# ============================================================================ -# Run Tests -# ============================================================================ - -if __name__ == "__main__": - pytest.main([__file__, "-v"]) diff --git a/debug/test_token_accumulator_v3.py b/debug/test_token_accumulator_v3.py deleted file mode 100644 index e156db165..000000000 --- a/debug/test_token_accumulator_v3.py +++ /dev/null @@ -1,606 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Token Accumulator V3 Tests - -Tests for TokenAccumulator v6 (migrated from v2 tests for v5). -All tests run with both thinking=True and thinking=False. -""" - -import sys -from pathlib import Path - -# Add parent directory to path for imports -sys.path.insert(0, str(Path(__file__).parent.parent)) - -import pytest - -from debug.token_accumulator_fn_v6 import ( - EpisodeData, - TokenAccumulator, - TruncationReason, - ValidationMode, -) -from vllm.transformers_utils.tokenizer import get_tokenizer - - -# ============================================================================ -# Utilities -# ============================================================================ - -MODEL_NAME = "Qwen/Qwen3-1.7B" - - -def assert_no_training_after_eos(tokens, response_mask, eos_token_id): - """ - Verify no tokens after EOS are trainable (the bug we fixed). - - For each EOS token, check that the NEXT position does not have response_mask=True. - This prevents training on chat template suffix tokens like '\n' after EOS. - """ - if len(tokens) == 0: - return - - # Create mask of positions that come AFTER an EOS token - eos_mask = [t == eos_token_id for t in tokens] - - # Shift right: position i is True if position i-1 was EOS - shifted_mask = [False] + eos_mask[ - :-1 - ] # Prepend False since position 0 has no "before" - - for i, (after_eos, is_trainable) in enumerate(zip(shifted_mask, response_mask)): - if after_eos and is_trainable: - raise AssertionError( - f"❌ BUG: Token at position {i} is trainable but comes after EOS!\n" - f" Token ID: {tokens[i]}\n" - f" response_mask: {is_trainable}\n" - f" Previous token (EOS): {tokens[i-1]}" - ) - - -def create_accumulator(max_len=2048, thinking=True, system_content="You are helpful."): - """Factory for creating test accumulators.""" - tokenizer = get_tokenizer(MODEL_NAME) - return TokenAccumulator( - tokenizer=tokenizer, - messages=[{"role": "system", "content": system_content}], - max_len=max_len, - eos_id=tokenizer.eos_token_id, - thinking=thinking, - ) - - -def mock_vllm_response(tokenizer, text, include_eos=True): - """ - Simulate vLLM generation (tokens without re-tokenizing with chat template). - This is what vLLM returns: raw content tokens + EOS. - """ - tokens = tokenizer.encode(text, add_special_tokens=False) - if include_eos: - tokens.append(tokenizer.eos_token_id) - return tokens - - -# ============================================================================ -# Test Cases -# ============================================================================ - - -@pytest.mark.parametrize("thinking", [True, False]) -class TestBasicFunctionality: - """Core functionality tests.""" - - def test_single_turn_complete(self, thinking): - """Test: system -> user -> assistant (complete with EOS).""" - acc = create_accumulator(thinking=thinking) - tokenizer = acc.tokenizer - - # User message - success = acc.add_user("Say hi") - assert success - - # Generate assistant response - response_tokens = mock_vllm_response(tokenizer, "Hello!", include_eos=True) - success = acc.add_assistant("Hello!", response_tokens) - - assert success, "Should accept complete response" - assert not acc.truncated - - episode = acc.get_data() - assert isinstance(episode, EpisodeData) - assert_no_training_after_eos( - episode.token_ids.tolist(), - episode.response_mask.tolist(), - tokenizer.eos_token_id, - ) - - def test_truncated_response_no_eos(self, thinking): - """Test: Response without EOS is rejected.""" - acc = create_accumulator(thinking=thinking) - tokenizer = acc.tokenizer - - acc.add_user("Say hi") - response_tokens = mock_vllm_response(tokenizer, "Hello!", include_eos=False) - success = acc.add_assistant("Hello!", response_tokens) - - assert not success, "Should reject response without EOS" - assert acc.truncated - assert acc.truncation_reason == TruncationReason.ASSISTANT_TOO_LONG - - def test_multi_turn(self, thinking): - """Test: system -> user -> assistant -> user -> assistant.""" - acc = create_accumulator(thinking=thinking) - tokenizer = acc.tokenizer - - # Turn 1 - assert acc.add_user("Hi") - resp1 = mock_vllm_response(tokenizer, "Hello!") - assert acc.add_assistant("Hello!", resp1) - - # Turn 2 - assert acc.add_user("Bye") - resp2 = mock_vllm_response(tokenizer, "Goodbye!") - assert acc.add_assistant("Goodbye!", resp2) - - episode = acc.get_data() - assert not acc.truncated - assert_no_training_after_eos( - episode.token_ids.tolist(), - episode.response_mask.tolist(), - tokenizer.eos_token_id, - ) - - -@pytest.mark.parametrize("thinking", [True, False]) -class TestBudgetAndTruncation: - """Budget limits and truncation behavior.""" - - def test_user_message_truncated(self, thinking): - """Test: User message exceeds budget.""" - acc = create_accumulator(thinking=thinking, max_len=50) - - long_message = "word " * 100 # Way over budget - success = acc.add_user(long_message) - - assert not success, "Should truncate user message" - assert acc.truncated - assert acc.truncation_reason == TruncationReason.USER_TOO_LONG - - def test_assistant_response_exceeds_budget(self, thinking): - """Test: Assistant response exceeds budget.""" - acc = create_accumulator(thinking=thinking, max_len=100) - tokenizer = acc.tokenizer - - acc.add_user("Hi") - - # Create response that exceeds remaining budget - long_response = mock_vllm_response(tokenizer, "word " * 200, include_eos=True) - success = acc.add_assistant("long response", long_response) - - assert not success, "Should reject oversized response" - assert acc.truncated - assert acc.truncation_reason == TruncationReason.ASSISTANT_TOO_LONG - - def test_zero_budget_user(self, thinking): - """Test: Cannot add user message when budget=0.""" - system_content = "helpful " * 100 # Fill the budget - acc = create_accumulator( - thinking=thinking, - max_len=100, - system_content=system_content, - ) - - assert acc.budget == 0 - success = acc.add_user("Hi") - - assert not success, "Should fail with zero budget" - - def test_zero_budget_assistant(self, thinking): - """Test: Cannot add assistant response when budget=0.""" - system_content = "helpful " * 100 - acc = create_accumulator( - thinking=thinking, - max_len=100, - system_content=system_content, - ) - tokenizer = acc.tokenizer - - assert acc.budget == 0 - response = mock_vllm_response(tokenizer, "Hi", include_eos=True) - success = acc.add_assistant("Hi", response) - - assert not success, "Should fail with zero budget" - - def test_initial_messages_too_long(self, thinking): - """Test: Initial system message exceeds max_len.""" - long_system = "You are helpful." * 20 - acc = create_accumulator( - thinking=thinking, max_len=50, system_content=long_system - ) - - assert acc.truncated - assert acc.truncation_reason == TruncationReason.USER_TOO_LONG - assert len(acc._tokens) <= 50 - assert acc.budget == 0 - - -@pytest.mark.parametrize("thinking", [True, False]) -class TestResponseMaskCorrectness: - """Verify response_mask correctness (the core bug fix).""" - - def test_generation_prompt_not_trainable(self, thinking): - """Test: Generation prompt tokens have response_mask=False.""" - acc = create_accumulator(thinking=thinking) - tokenizer = acc.tokenizer - - initial_len = len(acc._tokens) - acc.add_user("Hi") - response = mock_vllm_response(tokenizer, "Hello!", include_eos=True) - acc.add_assistant("Hello!", response) - - # Count non-trainable tokens after initial messages - # Should be: user message tokens + generation prompt tokens - non_trainable_after_initial = sum(not mask for mask in acc._mask[initial_len:]) - - # Generation prompt should not be trainable - assert non_trainable_after_initial >= acc.gen_prompt_len, ( - f"Generation prompt ({acc.gen_prompt_len} tokens) should not be trainable, " - f"but only {non_trainable_after_initial} non-trainable tokens found" - ) - - def test_vllm_tokens_trainable(self, thinking): - """Test: All vLLM tokens (including EOS) are trainable.""" - acc = create_accumulator(thinking=thinking) - tokenizer = acc.tokenizer - - initial_tokens = len(acc._tokens) - acc.add_user("Hi") - after_user = len(acc._tokens) - - response = mock_vllm_response(tokenizer, "Hello!", include_eos=True) - acc.add_assistant("Hello!", response) - - # Count trainable tokens added by assistant response - # Skip: initial + user message + generation prompt - assistant_start = after_user + acc.gen_prompt_len - trainable_assistant = sum(acc._mask[assistant_start:]) - - assert trainable_assistant == len(response), ( - f"All {len(response)} vLLM tokens should be trainable, " - f"got {trainable_assistant}" - ) - - # EOS should be trainable (it's before the suffix) - # Find EOS position (should be len - suffix_len - 1) - eos_pos = len(acc._tokens) - len(acc.suffix) - 1 - assert ( - acc._tokens[eos_pos] == tokenizer.eos_token_id - ), f"Expected EOS at position {eos_pos}, got {acc._tokens[eos_pos]}" - assert acc._mask[eos_pos] == True, "EOS token must be trainable" - - def test_no_training_after_eos_single_turn(self, thinking): - """Test: No trainable tokens after EOS (single turn).""" - acc = create_accumulator(thinking=thinking) - tokenizer = acc.tokenizer - - acc.add_user("Hi") - response = mock_vllm_response(tokenizer, "Hello!", include_eos=True) - acc.add_assistant("Hello!", response) - - assert_no_training_after_eos(acc._tokens, acc._mask, tokenizer.eos_token_id) - - def test_no_training_after_eos_multi_turn(self, thinking): - """Test: No trainable tokens after EOS (multi-turn).""" - acc = create_accumulator(thinking=thinking) - tokenizer = acc.tokenizer - - # Turn 1 - acc.add_user("Hi") - acc.add_assistant("Hello!", mock_vllm_response(tokenizer, "Hello!")) - - # Turn 2 - acc.add_user("Bye") - acc.add_assistant("Goodbye!", mock_vllm_response(tokenizer, "Goodbye!")) - - # Turn 3 - acc.add_user("See you") - acc.add_assistant("Take care!", mock_vllm_response(tokenizer, "Take care!")) - - # Check no training after ANY EOS - assert_no_training_after_eos(acc._tokens, acc._mask, tokenizer.eos_token_id) - - def test_eos_token_is_trainable(self, thinking): - """Test: EOS token itself should be trainable.""" - acc = create_accumulator(thinking=thinking) - tokenizer = acc.tokenizer - - acc.add_user("Hi") - response = mock_vllm_response(tokenizer, "Hello!", include_eos=True) - acc.add_assistant("Hello!", response) - - # Find all EOS positions - eos_positions = [ - i for i, t in enumerate(acc._tokens) if t == tokenizer.eos_token_id - ] - - # Last EOS (from assistant) should be trainable - # Earlier EOS (from system/user) should NOT be trainable - assistant_eos = eos_positions[-1] - assert acc._mask[assistant_eos], "Assistant EOS must be trainable" - - -@pytest.mark.parametrize("thinking", [True, False]) -class TestMultiTurnTruncation: - """Multi-turn truncation scenarios.""" - - def test_second_user_message_truncated(self, thinking): - """Test: Second user message causes truncation.""" - acc = create_accumulator(thinking=thinking, max_len=100) - tokenizer = acc.tokenizer - - # Turn 1 - should succeed - acc.add_user("Say hi") - resp1 = mock_vllm_response(tokenizer, "Hello! How can I help?") - acc.add_assistant("Hello! How can I help?", resp1) - - # Turn 2 - long user message should truncate - long_user = "This is a very long message. " * 20 - success = acc.add_user(long_user) - - assert not success, "Long user message should be truncated" - assert acc.truncated - assert acc.truncation_reason == TruncationReason.USER_TOO_LONG - - def test_second_assistant_response_truncated(self, thinking): - """Test: Second assistant response exceeds budget.""" - acc = create_accumulator(thinking=thinking, max_len=100) - tokenizer = acc.tokenizer - - # Turn 1 - acc.add_user("Hi") - resp1 = mock_vllm_response(tokenizer, "Hello! How can I assist you today?") - acc.add_assistant("Hello! How can I assist you today?", resp1) - - # Turn 2 - should fit - acc.add_user("Bye") - - # Long response should be rejected - long_response = mock_vllm_response(tokenizer, "word " * 100, include_eos=True) - success = acc.add_assistant("long response", long_response) - - assert not success, "Long response should be rejected" - assert acc.truncated - assert acc.truncation_reason == TruncationReason.ASSISTANT_TOO_LONG - - -# ============================================================================ -# Comparison Tests -# ============================================================================ - - -def test_thinking_affects_generation_prompt_length(): - """Verify thinking changes generation prompt length.""" - acc_thinking = create_accumulator(thinking=True) - acc_no_thinking = create_accumulator(thinking=False) - - # Qwen-specific behavior: thinking disabled adds placeholder tags - if "Qwen" in MODEL_NAME: - assert acc_thinking.gen_prompt_len < acc_no_thinking.gen_prompt_len - else: - # For models without thinking support, lengths should be equal - assert acc_thinking.gen_prompt_len == acc_no_thinking.gen_prompt_len - - -def test_thinking_affects_budget(): - """Verify thinking changes budget calculations.""" - acc_thinking = create_accumulator(thinking=True, max_len=1000) - acc_no_thinking = create_accumulator(thinking=False, max_len=1000) - - # Qwen-specific behavior: thinking enabled has larger budget - if "Qwen" in MODEL_NAME: - assert acc_thinking.budget > acc_no_thinking.budget - else: - # For models without thinking support, budgets should be equal - assert acc_thinking.budget == acc_no_thinking.budget - - -def test_thinking_affects_total_tokens(): - """Verify thinking changes accumulated token count.""" - tokenizer = get_tokenizer(MODEL_NAME) - - acc_thinking = create_accumulator(thinking=True) - acc_no_thinking = create_accumulator(thinking=False) - - # Add same conversation to both - for acc in [acc_thinking, acc_no_thinking]: - acc.add_user("Hi") - response = mock_vllm_response(tokenizer, "Hello!") - acc.add_assistant("Hello!", response) - - # Qwen-specific behavior: thinking disabled has more tokens - if "Qwen" in MODEL_NAME: - assert len(acc_thinking._tokens) < len(acc_no_thinking._tokens) - else: - # For models without thinking support, token counts should be equal - assert len(acc_thinking._tokens) == len(acc_no_thinking._tokens) - - -# ============================================================================ -# Golden Test - Exact Token/Mask Validation -# ============================================================================ - - -def test_exact_token_and_mask_sequence_qwen(): - """ - Golden test: Verify EXACT token sequence and response_mask for a known conversation. - - This test uses hardcoded Qwen tokenizer to ensure we catch any regressions in: - - Token ordering - - Mask alignment - - Generation prompt placement - - vLLM response token handling - - Suffix token handling - - Conversation: - - System: "Help" - - User: "Hi" → Assistant: "hello there" - - User: "i am bob" → Assistant: "Hi Bob" - """ - # Hardcode Qwen tokenizer for this golden test - tokenizer = get_tokenizer("Qwen/Qwen3-1.7B") - - acc = TokenAccumulator( - tokenizer=tokenizer, - messages=[{"role": "system", "content": "Help"}], - max_len=2048, - eos_id=tokenizer.eos_token_id, - thinking=False, - ) - - # Turn 1 - acc.add_user("Hi") - resp1 = [14990, 1052, 151645] # "hello there" + EOS - acc.add_assistant("hello there", resp1) - - # Turn 2 - acc.add_user("i am bob") - resp2 = [13048, 14261, 151645] # "Hi Bob" + EOS - acc.add_assistant("Hi Bob", resp2) - - # Expected tokens (golden values WITH suffix tokens after each EOS) - expected_tokens = [ - 151644, - 8948, - 198, - 12689, - 151645, - 198, # System - 151644, - 872, - 198, - 13048, - 151645, - 198, # User 1 - 151644, - 77091, - 198, - 151667, - 271, - 151668, - 271, # Gen prompt 1 - 14990, - 1052, - 151645, # Response 1 - 198, # Suffix 1 - 151644, - 872, - 198, - 72, - 1079, - 35192, - 151645, - 198, # User 2 - 151644, - 77091, - 198, - 151667, - 271, - 151668, - 271, # Gen prompt 2 - 13048, - 14261, - 151645, # Response 2 - 198, # Suffix 2 - ] - - # Expected mask (only vLLM response tokens are trainable, suffix is NOT trainable) - expected_mask = [ - False, - False, - False, - False, - False, - False, # [0-5]: System - False, - False, - False, - False, - False, - False, # [6-11]: User 1 - False, - False, - False, - False, - False, - False, - False, # [12-18]: Gen prompt 1 - True, - True, - True, # [19-21]: Response 1 (trainable!) - False, # [22]: Suffix 1 - False, - False, - False, - False, - False, - False, - False, - False, # [23-30]: User 2 - False, - False, - False, - False, - False, - False, - False, # [31-37]: Gen prompt 2 - True, - True, - True, # [38-40]: Response 2 (trainable!) - False, # [41]: Suffix 2 - ] - - # Verify exact sequence - assert acc._tokens == expected_tokens, ( - f"Token mismatch!\n" - f"Expected: {expected_tokens}\n" - f"Got: {acc._tokens}\n" - f"\nFirst diff at index {next((i for i, (a, b) in enumerate(zip(expected_tokens, acc._tokens)) if a != b), -1)}" - ) - - assert acc._mask == expected_mask, ( - f"Mask mismatch!\n" - f"Expected: {expected_mask}\n" - f"Got: {acc._mask}\n" - f"\nFirst diff at index {next((i for i, (a, b) in enumerate(zip(expected_mask, acc._mask)) if a != b), -1)}" - ) - - # Verify trainable count (only the 6 vLLM response tokens) - assert ( - sum(expected_mask) == 6 - ), "Should have exactly 6 trainable tokens (2 responses × 3 tokens each)" - - # Verify EOS positions are trainable - eos_positions = [i for i, t in enumerate(expected_tokens) if t == 151645] - assistant_eos_positions = [ - 21, - 40, - ] # Positions of assistant EOS tokens (before suffix) - for pos in assistant_eos_positions: - assert pos in eos_positions, f"Expected EOS at position {pos}" - assert expected_mask[pos], f"Assistant EOS at position {pos} must be trainable" - - # Verify no training after EOS - assert_no_training_after_eos(expected_tokens, expected_mask, tokenizer.eos_token_id) - - -# ============================================================================ -# Run Tests -# ============================================================================ - -if __name__ == "__main__": - pytest.main([__file__, "-v"]) diff --git a/debug/test_token_accumulator_validation.py b/debug/test_token_accumulator_validation.py deleted file mode 100644 index 8ff92f2d6..000000000 --- a/debug/test_token_accumulator_validation.py +++ /dev/null @@ -1,913 +0,0 @@ -#!/usr/bin/env python3 -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Minimal validation test for TokenAccumulator v9 fix. - -Tests 4 scenarios using actual vLLM: -1. prompt -> user -> assistant (COMPLETE) -2. prompt -> user -> assistant-truncated (DROPPED) -3. prompt -> user -> assistant -> user (COMPLETE MULTI-TURN) -4. prompt -> user -> assistant-truncated -> user-truncated (DROPPED) - -Expected results: -- Test 1, 3: Should PASS (complete responses, no duplicates) -- Test 2, 4: Should be DROPPED (truncated episodes rejected) -""" - -import asyncio -import sys - -sys.path.insert(0, "/home/felipemello/forge/debug") - -from forge.actors.generator import Generator -from token_accumulator_fn_v5 import SanityCheckMode, TokenAccumulator, TruncationReason -from transformers import AutoTokenizer -from vllm.engine.arg_utils import EngineArgs -from vllm.sampling_params import SamplingParams - - -async def test_scenario_1_complete(tokenizer, generator): - """Test 1: prompt -> user -> assistant (COMPLETE)""" - print("\n" + "=" * 5) - print("TEST 1: prompt -> user -> assistant (COMPLETE)") - print("=" * 5) - - # Initialize accumulator - messages = [ - { - "role": "system", - "content": "You are a helpful assistant.", - } - ] - acc = TokenAccumulator( - tokenizer=tokenizer, - messages=messages, - max_seq_len=2048, - eos_token_id=tokenizer.eos_token_id, - sanity_check_mode=SanityCheckMode.STRICT, - ) - - # Add user message with trivial task - acc.add_user_message("Just reply to me with 'hi'. Do not think about it.") - tokens_before_response = len(acc.accumulated_tokens) - - # Generate with vLLM (high max_tokens to ensure completion) - prompt = acc.format_prompt() - sampling_params = SamplingParams(temperature=0.0, top_p=0.9, max_tokens=1000) - completions = await generator.generate.route( - prompt, sampling_params=sampling_params - ) - completion = completions[0] - vllm_tokens = completion.token_ids.tolist() - - print(f"Response text: {repr(completion.text[:50])}") - print(f"Stop reason: {completion.stop_reason}") - print(f"Last token == EOS: {vllm_tokens[-1] == tokenizer.eos_token_id}") - print(f"vLLM token count: {len(vllm_tokens)}") - - # Add assistant response - success = acc.add_assistant_response( - response_text=completion.text, - response_token_ids=vllm_tokens, - ) - - print( - f"\nEpisode accepted: {success}, Is truncated: {acc.is_truncated}, Truncation reason: {acc.truncation_reason}" - ) - - # Always show decoded conversation - print("\n" + "-" * 5) - print("DECODED CONVERSATION:") - print("-" * 5) - decoded = tokenizer.decode(acc.accumulated_tokens) - print(decoded) - print("-" * 5) - - errors = [] - - if not success: - errors.append("Episode was DROPPED (expected to be accepted)") - errors.append(f"Response was truncated at {len(vllm_tokens)} tokens") - errors.append("This test expects a COMPLETE response, not truncated") - else: - print(f"Total tokens: {len(acc.accumulated_tokens)}") - - # Validate finalize - try: - acc.finalize() - print("✅ FINALIZE PASSED") - except ValueError as e: - errors.append(f"FINALIZE FAILED: {e}") - - # Validate mask correctness - print(f"\nMask validation:") - - # Check all non-response tokens are NOT trainable - non_response_trainable = sum(acc.response_mask[:tokens_before_response]) - if non_response_trainable > 0: - errors.append( - f"Found {non_response_trainable} trainable tokens in system+user (should be 0)" - ) - else: - print( - f" ✓ All {tokens_before_response} non-response tokens are NOT trainable" - ) - - # Check prefix tokens are NOT trainable - prefix_start = tokens_before_response - prefix_end = prefix_start + acc.generation_prompt_len - prefix_trainable = sum(acc.response_mask[prefix_start:prefix_end]) - if prefix_trainable > 0: - errors.append( - f"Found {prefix_trainable} trainable tokens in prefix (should be 0)" - ) - else: - print( - f" ✓ All {acc.generation_prompt_len} prefix tokens are NOT trainable" - ) - - # Extract trainable tokens and validate against vLLM - trainable_tokens = [ - tok - for tok, mask_val in zip(acc.accumulated_tokens, acc.response_mask) - if mask_val - ] - print(f" Trainable tokens: {len(trainable_tokens)}") - print(f" vLLM tokens: {len(vllm_tokens)}") - - # Check vLLM tokens match trainable tokens - if len(trainable_tokens) < len(vllm_tokens): - errors.append( - f"Not enough trainable tokens ({len(trainable_tokens)} < {len(vllm_tokens)})" - ) - else: - match = all( - trainable_tokens[i] == vllm_tokens[i] for i in range(len(vllm_tokens)) - ) - if not match: - errors.append("vLLM tokens don't match trainable tokens!") - else: - print(f" ✓ All {len(vllm_tokens)} vLLM tokens are trainable") - trailing = len(trainable_tokens) - len(vllm_tokens) - if trailing > 0: - print( - f" Note: {trailing} additional trainable token(s) after vLLM" - ) - - # Verify EOS is trainable - if tokenizer.eos_token_id in vllm_tokens: - eos_found = False - for i in range(tokens_before_response, len(acc.accumulated_tokens)): - if acc.accumulated_tokens[i] == tokenizer.eos_token_id: - if not acc.response_mask[i]: - errors.append( - f"EOS token at index {i} is NOT trainable (should be trainable)" - ) - else: - print(f" ✓ EOS token is trainable") - eos_found = True - break - if not eos_found: - errors.append("EOS token not found in accumulated tokens") - - if errors: - print("\n❌ ERRORS FOUND:") - for error in errors: - print(f" - {error}") - return False - - return True - - -async def test_scenario_2_truncated(tokenizer, generator): - """Test 2: prompt -> user -> assistant-truncated (DROPPED)""" - print("\n" + "=" * 5) - print("TEST 2: prompt -> user -> assistant-truncated (DROPPED)") - print("=" * 5) - - messages = [ - { - "role": "system", - "content": "You are a helpful assistant.", - } - ] - acc = TokenAccumulator( - tokenizer=tokenizer, - messages=messages, - max_seq_len=2048, - eos_token_id=tokenizer.eos_token_id, - sanity_check_mode=SanityCheckMode.STRICT, - ) - - acc.add_user_message("Just reply to me with 'hi'. Do not think about it.") - - # Force truncation with very low max_tokens - prompt = acc.format_prompt() - sampling_params = SamplingParams(temperature=0.0, top_p=0.9, max_tokens=1) - completions = await generator.generate.route( - prompt, sampling_params=sampling_params - ) - completion = completions[0] - - print(f"Response text: {repr(completion.text)}") - print(f"Stop reason: {completion.stop_reason}") - print( - f"Last token == EOS: {completion.token_ids.tolist()[-1] == tokenizer.eos_token_id}" - ) - - # Try to add assistant response - success = acc.add_assistant_response( - response_text=completion.text, - response_token_ids=completion.token_ids.tolist(), - ) - - print( - f"\nEpisode accepted: {success}, Is truncated: {acc.is_truncated}, Truncation reason: {acc.truncation_reason}" - ) - print(f"Remaining budget after truncation: {acc.get_remaining_budget()}") - print( - f"Current tokens: {len(acc.accumulated_tokens)}, max_seq_len: {acc.max_seq_len}" - ) - - # Always show decoded conversation - print("DECODED CONVERSATION (what was accumulated BEFORE drop):") - decoded = tokenizer.decode(acc.accumulated_tokens) - print("-" * 5, decoded, "-" * 5) - - if success: - print("\n❌ ERRORS FOUND:") - print(" - Truncated episode was accepted (should be dropped)!") - return False - - print( - f"✅ PASS: Total tokens in accumulator: {len(acc.accumulated_tokens)} (only initial messages)" - ) - return True - - -async def test_scenario_3_multiturn(tokenizer, generator): - """ - Test 3: prompt -> user -> assistant -> user (COMPLETE MULTI-TURN) - - NOTE: This test FAILS on Qwen due to expected behavior - Qwen's chat template - removes tags from assistant messages in conversation history to save context. - This causes a mismatch between turn-by-turn accumulated tokens (which include thinking) - and ground truth re-tokenization (which strips thinking from history). - - This is NOT a bug in TokenAccumulator - it's how Qwen's template works. - The accumulated tokens are correct for training; they just won't match re-tokenization. - """ - print("\n" + "=" * 5) - print("TEST 3: prompt -> user -> assistant -> user (COMPLETE MULTI-TURN)") - print("=" * 5) - print( - "\nNOTE: Expected to FAIL on Qwen - chat template removes tags from history." - ) - print("This is Qwen's documented behavior, not a bug in TokenAccumulator.\n") - - messages = [ - { - "role": "system", - "content": "You are a helpful assistant.", - } - ] - acc = TokenAccumulator( - tokenizer=tokenizer, - messages=messages, - max_seq_len=2048, - eos_token_id=tokenizer.eos_token_id, - sanity_check_mode=SanityCheckMode.STRICT, - ) - - # Turn 1 - print("\nTurn 1:") - acc.add_user_message("Just reply to me with 'hi'. Do not think about it.") - prompt = acc.format_prompt() - sampling_params = SamplingParams(temperature=0.0, top_p=0.9, max_tokens=1000) - completions = await generator.generate.route( - prompt, sampling_params=sampling_params - ) - completion = completions[0] - - print(f" Response: {repr(completion.text)}") - print(f" Tokens: {len(completion.token_ids.tolist())}") - print(f" Stop reason: {completion.stop_reason}") - print( - f" Last token == EOS: {completion.token_ids.tolist()[-1] == tokenizer.eos_token_id}" - ) - - success = acc.add_assistant_response( - response_text=completion.text, - response_token_ids=completion.token_ids.tolist(), - ) - - # Always show state after turn 1 - print("\n" + "-" * 5) - print("DECODED CONVERSATION (after turn 1 attempt):") - print("-" * 5) - decoded = tokenizer.decode(acc.accumulated_tokens) - print(decoded) - print("-" * 5) - - # Collect errors instead of failing early - errors = [] - - if not success: - errors.append("Turn 1 truncated - test expected success") - errors.append( - f"Response was truncated at {len(completion.token_ids.tolist())} tokens" - ) - - # Turn 2 - just add user message - print("\nTurn 2:") - acc.add_user_message("Now say 'bye'.") - - # Validate - try: - acc.finalize() - print("✅ FINALIZE PASSED") - except ValueError as e: - errors.append(f"FINALIZE FAILED: {e}") - - # Check for duplicates in the decoded output - decoded_final = tokenizer.decode(acc.accumulated_tokens) - print("\nFINAL DECODED CONVERSATION:") - print("-" * 5) - print(decoded_final) - print("-" * 5) - print(f" Total tokens in accumulator: {len(acc.accumulated_tokens)}") - - # Check for duplicate thinking tags (the main bug we're trying to avoid) - if decoded_final.count("") > decoded_final.count("") + 1: - errors.append("Found unclosed tags!") - - if "" in decoded_final and "" in decoded_final: - # Count occurrences - should match - think_open_count = decoded_final.count("") - think_close_count = decoded_final.count("") - if think_open_count != think_close_count: - errors.append( - f"Mismatched thinking tags! Open: {think_open_count}, Close: {think_close_count}" - ) - else: - print(f"✅ Thinking tags are balanced ({think_open_count} pairs)") - - # Report all errors at once - if errors: - print("\n❌ ERRORS FOUND:") - for error in errors: - print(f" - {error}") - return False - - return True - - -async def test_scenario_4_truncated_multiturn(tokenizer, generator): - """Test 4: prompt -> user -> assistant -> user-truncated (DROPPED)""" - print("\n" + "=" * 5) - print("TEST 4: prompt -> user -> assistant -> user-truncated (DROPPED)") - print("=" * 5) - - messages = [ - { - "role": "system", - "content": "You are a helpful assistant.", - } - ] - acc = TokenAccumulator( - tokenizer=tokenizer, - messages=messages, - max_seq_len=180, - eos_token_id=tokenizer.eos_token_id, - sanity_check_mode=SanityCheckMode.STRICT, - ) - - # Turn 1 - complete generation - print("\nTurn 1") - acc.add_user_message("Just reply to me with 'hi'. Do not think about it.") - prompt = acc.format_prompt() - - # ✅ Use get_remaining_budget() to prevent overflow - remaining = acc.get_remaining_budget() - print(f" Remaining budget before generation: {remaining}") - sampling_params = SamplingParams(temperature=0.0, top_p=0.9, max_tokens=remaining) - completions = await generator.generate.route( - prompt, sampling_params=sampling_params - ) - completion = completions[0] - - print(f" Response: {repr(completion.text)}") - print(f" Tokens: {len(completion.token_ids.tolist())}") - print(f" Stop reason: {completion.stop_reason}") - print( - f" Last token == EOS: {completion.token_ids.tolist()[-1] == tokenizer.eos_token_id}" - ) - - success = acc.add_assistant_response( - response_text=completion.text, - response_token_ids=completion.token_ids.tolist(), - ) - - print("TOTAL TOKENS IN ACCUMULATOR: ", len(acc.accumulated_tokens)) - print("get_remaining_budget: ", acc.get_remaining_budget()) - print("max_seq_len: ", acc.max_seq_len) - - success = acc.add_user_message("This is a very long message" * 100) - - print( - f"\nUser message accepted: {success}, Is truncated: {acc.is_truncated}, Truncation reason: {acc.truncation_reason}" - ) - print(f"Remaining budget after user truncation: {acc.get_remaining_budget()}") - print( - f"Current tokens: {len(acc.accumulated_tokens)}, max_seq_len: {acc.max_seq_len}" - ) - - # Always show decoded conversation - print("\nDECODED CONVERSATION (what was accumulated before/during truncation):") - decoded = tokenizer.decode(acc.accumulated_tokens) - print(decoded) - print("-" * 5) - print(f" Total tokens in accumulator: {len(acc.accumulated_tokens)}") - - # Collect all errors instead of failing early - errors = [] - - # The test expects truncation - if not acc.is_truncated: - errors.append("Episode should have been truncated!") - - if acc.truncation_reason != TruncationReason.USER_TOO_LONG: - errors.append(f"Wrong truncation reason: {acc.truncation_reason}") - - # ✅ Critical check: After user truncation, budget MUST be 0 - # If budget > 0, that's a bug in truncation logic that could allow agent responses - # to be generated and added even though episode is already truncated - remaining_budget = acc.get_remaining_budget() - if remaining_budget > 0: - errors.append( - f"Budget calculation bug! After user truncation, budget should be 0, got {remaining_budget}" - ) - errors.append( - "This could allow agent responses to be added to truncated episodes!" - ) - - # ✅ Verify we never exceeded max_seq_len - if len(acc.accumulated_tokens) > acc.max_seq_len: - errors.append( - f"Budget overflow! {len(acc.accumulated_tokens)} > {acc.max_seq_len}" - ) - - # Report all errors at once - if errors: - print("\n❌ ERRORS FOUND:") - for error in errors: - print(f" - {error}") - return False - - print("✅ PASS: Episode correctly marked as truncated") - print( - f"✅ PASS: Budget respected ({len(acc.accumulated_tokens)} <= {acc.max_seq_len})" - ) - return True - - -def test_initial_messages_too_long(tokenizer): - """Test 5: Initial messages exceed max_seq_len""" - print("\n" + "=" * 5) - print("TEST 5: Initial messages > max_seq_len") - print("=" * 5) - - # Create very long system message - long_system = "You are helpful. " * 100 # Very long - messages = [{"role": "system", "content": long_system}] - - acc = TokenAccumulator( - tokenizer=tokenizer, - messages=messages, - max_seq_len=50, # Tiny budget - eos_token_id=tokenizer.eos_token_id, - ) - - print( - f"Initial tokens: {len(acc.accumulated_tokens)}, max_seq_len: {acc.max_seq_len}" - ) - print(f"is_truncated: {acc.is_truncated}") - print(f"truncation_reason: {acc.truncation_reason}") - print(f"Remaining budget: {acc.get_remaining_budget()}") - - # Show decoded conversation - print("\nDECODED CONVERSATION:") - decoded = tokenizer.decode(acc.accumulated_tokens) - print("-" * 5) - print(decoded) - print("-" * 5) - - # Collect errors - errors = [] - - # Check truncation - if not acc.is_truncated: - errors.append("Should be marked truncated!") - - if acc.truncation_reason != TruncationReason.USER_TOO_LONG: - errors.append(f"Wrong truncation type: {acc.truncation_reason}") - - if len(acc.accumulated_tokens) != acc.max_seq_len: - errors.append( - f"Should be truncated to {acc.max_seq_len}, got {len(acc.accumulated_tokens)}" - ) - - if errors: - print("\n❌ ERRORS FOUND:") - for error in errors: - print(f" - {error}") - return False - - # Budget might not be exactly 0 due to assistant_overhead subtraction - print(f"✅ PASS: Initial messages correctly truncated") - print( - f" Note: Remaining budget = {acc.get_remaining_budget()} (may be >0 due to overhead calculation)" - ) - return True - - -def test_zero_budget_user_message(tokenizer): - """Test 6: Try to add user message with zero budget""" - print("\n" + "=" * 5) - print("TEST 6: Add user message with budget=0") - print("=" * 5) - - messages = [ - {"role": "system", "content": "You are helpful." * 50} - ] # Takes all budget - acc = TokenAccumulator( - tokenizer=tokenizer, - messages=messages, - max_seq_len=100, - eos_token_id=tokenizer.eos_token_id, - ) - - initial_len = len(acc.accumulated_tokens) - print(f"Initial: {initial_len} tokens, budget: {acc.get_remaining_budget()}") - - # Try to add user message (budget should be ~0 or negative) - success = acc.add_user_message("Hello") - - print(f"After add_user: {len(acc.accumulated_tokens)} tokens") - print(f"success: {success}, is_truncated: {acc.is_truncated}") - print(f"Remaining budget after attempt: {acc.get_remaining_budget()}") - - # Show decoded conversation - print("\nDECODED CONVERSATION:") - decoded = tokenizer.decode(acc.accumulated_tokens) - print("-" * 5) - print(decoded) - print("-" * 5) - - errors = [] - - # Should fail and not add anything (or add 0 tokens if budget was exactly 0) - if success: - errors.append("Should have failed (no budget)") - - if ( - len(acc.accumulated_tokens) > initial_len + 1 - ): # Allow at most 1 token if budget allowed - errors.append( - f"Added too many tokens! {len(acc.accumulated_tokens) - initial_len}" - ) - - if errors: - print("\n❌ ERRORS FOUND:") - for error in errors: - print(f" - {error}") - return False - - print("✅ PASS: User message correctly rejected/truncated with zero budget") - return True - - -def test_zero_budget_assistant_message(tokenizer): - """Test 7: Try to add assistant message with zero budget""" - print("\n" + "=" * 5) - print("TEST 7: Add assistant message with budget=0") - print("=" * 5) - - messages = [{"role": "system", "content": "You are helpful." * 50}] - acc = TokenAccumulator( - tokenizer=tokenizer, - messages=messages, - max_seq_len=100, - eos_token_id=tokenizer.eos_token_id, - ) - - initial_len = len(acc.accumulated_tokens) - budget = acc.get_remaining_budget() - print(f"Initial: {initial_len} tokens, budget: {budget}") - - # Assistant response with EOS - response_token_ids = [6151, tokenizer.eos_token_id] # "hi" + EOS - - success = acc.add_assistant_response("hi", response_token_ids) - - print(f"After add_assistant: {len(acc.accumulated_tokens)} tokens") - print(f"success: {success}") - print(f"Remaining budget after attempt: {acc.get_remaining_budget()}") - - # Show decoded conversation - print("\nDECODED CONVERSATION:") - decoded = tokenizer.decode(acc.accumulated_tokens) - print("-" * 5) - print(decoded) - print("-" * 5) - - # With zero/low budget, the assistant response should be rejected - # The key test is that we don't overflow max_seq_len - if len(acc.accumulated_tokens) > acc.max_seq_len: - print( - f"❌ ERROR: Exceeded max_seq_len! {len(acc.accumulated_tokens)} > {acc.max_seq_len}" - ) - return False - - # With the budget check, this should now be rejected - if success and budget == 0: - print("❌ ERROR: Assistant response should have been rejected (zero budget)") - return False - - print("✅ PASS: Assistant message handled correctly with zero budget") - return True - - -async def test_response_mask_correctness(tokenizer, generator): - """Test 8: Verify response_mask is correct across entire conversation""" - print("\n" + "=" * 80) - print("TEST 8: Response Mask Correctness") - print("=" * 80) - - all_passed = True - for enable_thinking in [False]: - print(f"\n{'='*80}") - print(f"Testing with enable_thinking={enable_thinking}") - print(f"{'='*80}") - - acc = TokenAccumulator( - tokenizer=tokenizer, - messages=[{"role": "system", "content": "You are helpful."}], - max_seq_len=5000, - eos_token_id=tokenizer.eos_token_id, - enable_thinking=enable_thinking, - ) - - acc.add_user_message("Say hi") - tokens_before_response = len(acc.accumulated_tokens) - - # Generate - prompt = acc.format_prompt() - remaining_budget = acc.get_remaining_budget() - sampling_params = SamplingParams(temperature=0.0, max_tokens=remaining_budget) - completions = await generator.generate.route( - prompt, sampling_params=sampling_params - ) - completion = completions[0] - vllm_tokens = completion.token_ids.tolist() - - print(f"\nvLLM generated: {repr(completion.text[:50])}") - print(f"vLLM token count: {len(vllm_tokens)}") - print(f"vLLM tokens: {vllm_tokens}") - - # Add response - success = acc.add_assistant_response(completion.text, vllm_tokens) - - if not success: - print(f"\n❌ ERROR: add_assistant_response failed!") - all_passed = False - continue - - acc.add_user_message("Bye") - - # Print FULL conversation with mask - print(f"\n{'='*80}") - print(f"FULL CONVERSATION TOKEN BREAKDOWN") - print(f"{'='*80}") - print(f"{'Idx':<5} {'Token ID':<10} {'Decoded':<30} {'Mask':<8} {'Status'}") - print("-" * 80) - - for i, (token_id, mask_value) in enumerate( - zip(acc.accumulated_tokens, acc.response_mask) - ): - decoded = repr(tokenizer.decode([token_id]))[:28] - status = "TRAIN" if mask_value else "NOT_TRAIN" - is_eos = " [EOS]" if token_id == tokenizer.eos_token_id else "" - marker = " <--" if i == tokens_before_response else "" - print( - f"{i:<5} {token_id:<10} {decoded:<30} {str(mask_value):<8} {status}{is_eos}{marker}" - ) - - print("-" * 80) - - # Extract trainable tokens using the mask - trainable_tokens = [ - tok for tok, mask in zip(acc.accumulated_tokens, acc.response_mask) if mask - ] - - print(f"\nSummary:") - print(f" Total tokens: {len(acc.accumulated_tokens)}") - print(f" Non-response tokens (system+user): {tokens_before_response}") - print(f" Trainable tokens (mask=True): {len(trainable_tokens)}") - print(f" vLLM generated tokens: {len(vllm_tokens)}") - - # Validate - errors = [] - - # 1. All non-response tokens should NOT be trainable - non_response_trainable = sum(acc.response_mask[:tokens_before_response]) - if non_response_trainable > 0: - errors.append( - f"Found {non_response_trainable} trainable tokens in system+user (should be 0)" - ) - else: - print( - f" ✓ All {tokens_before_response} non-response tokens are NOT trainable" - ) - - # 2. ALL vLLM tokens should be in trainable tokens - print(f"\nTrainable tokens: {trainable_tokens}") - print(f"vLLM tokens: {vllm_tokens}") - - # Check if vLLM tokens match the beginning of trainable tokens - if len(trainable_tokens) < len(vllm_tokens): - errors.append( - f"Not enough trainable tokens! Got {len(trainable_tokens)}, need at least {len(vllm_tokens)}" - ) - else: - # Verify vLLM tokens are at the start of trainable tokens - vllm_match = all( - trainable_tokens[i] == vllm_tokens[i] for i in range(len(vllm_tokens)) - ) - if not vllm_match: - errors.append("vLLM tokens don't match trainable tokens!") - # Show where they differ - for i in range(min(len(trainable_tokens), len(vllm_tokens))): - if i < len(vllm_tokens) and trainable_tokens[i] != vllm_tokens[i]: - errors.append( - f" Mismatch at index {i}: trainable={trainable_tokens[i]}, vllm={vllm_tokens[i]}" - ) - else: - print(f" ✓ All {len(vllm_tokens)} vLLM tokens are trainable") - - # Check for trailing tokens - trailing = len(trainable_tokens) - len(vllm_tokens) - if trailing > 0: - trailing_tokens = trainable_tokens[len(vllm_tokens) :] - print( - f" Note: {trailing} additional trainable token(s) after vLLM: {trailing_tokens}" - ) - print( - f" Decoded: {[repr(tokenizer.decode([t])) for t in trailing_tokens]}" - ) - - # 3. Verify EOS is trainable - if tokenizer.eos_token_id in vllm_tokens: - eos_idx = vllm_tokens.index(tokenizer.eos_token_id) - # Find this in accumulated tokens (should be after tokens_before_response) - full_eos_idx = None - for i in range(tokens_before_response, len(acc.accumulated_tokens)): - if acc.accumulated_tokens[i] == tokenizer.eos_token_id: - full_eos_idx = i - break - - if full_eos_idx and not acc.response_mask[full_eos_idx]: - errors.append( - f"EOS token at index {full_eos_idx} is NOT trainable (should be trainable)" - ) - else: - print(f" ✓ EOS token is trainable") - - # Report errors - if errors: - print(f"\n❌ ERRORS for enable_thinking={enable_thinking}:") - for e in errors: - print(f" - {e}") - all_passed = False - else: - print(f"\n✅ PASS for enable_thinking={enable_thinking}") - - return all_passed - - -async def main(): - # Setup - model_path = "Qwen/Qwen3-1.7B" - # model_path = "meta-llama/Meta-Llama-3.1-8B-Instruct" - tokenizer = AutoTokenizer.from_pretrained(model_path, local_files_only=True) - - print(f"Model: {model_path}") - print(f"EOS token: {tokenizer.eos_token} (id={tokenizer.eos_token_id})") - - # Start generator - engine_args = EngineArgs( - model=model_path, - tensor_parallel_size=1, - max_model_len=2048, - enable_prefix_caching=True, - ) - - generator = await Generator.options( - procs=1, - num_replicas=1, - with_gpus=True, - ).as_service( - engine_args=engine_args, - sampling_params=SamplingParams(), - ) - - print("✅ Generator ready\n") - - # Run tests - results = [] - - results.append( - ("Test 1 (complete)", await test_scenario_1_complete(tokenizer, generator)) - ) - results.append( - ( - "Test 2 (truncated-drop)", - await test_scenario_2_truncated(tokenizer, generator), - ) - ) - results.append( - ( - "Test 3 (multi-turn)", - await test_scenario_3_multiturn(tokenizer, generator), - ) - ) - results.append( - ( - "Test 4 (multi-turn-truncated-drop)", - await test_scenario_4_truncated_multiturn(tokenizer, generator), - ) - ) - results.append( - ("Test 5 (initial-too-long)", test_initial_messages_too_long(tokenizer)) - ) - results.append( - ("Test 6 (zero-budget-user)", test_zero_budget_user_message(tokenizer)) - ) - results.append( - ( - "Test 7 (zero-budget-assistant)", - test_zero_budget_assistant_message(tokenizer), - ) - ) - results.append( - ( - "Test 8 (response-mask-correctness)", - await test_response_mask_correctness(tokenizer, generator), - ) - ) - - # Summary - print("\n" + "=" * 5) - print("SUMMARY") - print("=" * 5) - - for name, passed in results: - status = "✅ PASS" if passed else "❌ FAIL" - note = "" - if "Test 3" in name and not passed: - note = " (Expected - Qwen removes from history)" - print(f"{status}: {name}{note}") - - all_passed = all(p for _, p in results) - print("\n" + "=" * 5) - if all_passed: - print("✅✅✅ ALL TESTS PASSED ✅✅✅") - print("\nThe v9 fix works correctly:") - print(" 1. Complete responses match ground truth (no token mismatch)") - print(" 2. No duplicate tags in decoded output") - print(" 3. Truncated episodes are correctly dropped") - print(" 4. Multi-turn conversations work correctly") - else: - # Check if only Test 3 failed - test_3_only = not results[2][1] and all( - p for i, (_, p) in enumerate(results) if i != 2 - ) - if test_3_only: - print("✅ ALL CORE TESTS PASSED ✅") - print( - "\nTest 3 failed as EXPECTED for Qwen (chat template removes from history)" - ) - print("This is Qwen's documented behavior, not a TokenAccumulator bug.") - else: - print("❌❌❌ SOME TESTS FAILED ❌❌❌") - print("\nPlease check the output above for details") - print("=" * 5) - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/debug/test_verl_tokenization.py b/debug/test_verl_tokenization.py deleted file mode 100644 index dba15a629..000000000 --- a/debug/test_verl_tokenization.py +++ /dev/null @@ -1,179 +0,0 @@ -#!/usr/bin/env python3 -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Test to understand how VERL handles tokens after EOS in apply_chat_template. -""" - -import sys - -sys.path.insert(0, "/home/felipemello/forge") - -from vllm.transformers_utils.tokenizer import get_tokenizer - -# Get Qwen tokenizer -tokenizer = get_tokenizer("Qwen/Qwen2.5-0.5B-Instruct") -eos_token_id = tokenizer.eos_token_id - -print("=" * 80) -print("Testing VERL's Delta Tokenization Approach") -print("=" * 80) - -# Base chat history (like VERL) -BASE_CHAT_HISTORY = [ - {"role": "system", "content": "You are a helpful assistant."}, - {"role": "user", "content": "I am a user."}, -] - -# Calculate base lengths -base_wo_gen = tokenizer.apply_chat_template( - BASE_CHAT_HISTORY, - add_generation_prompt=False, - tokenize=True, -) -base_with_gen = tokenizer.apply_chat_template( - BASE_CHAT_HISTORY, - add_generation_prompt=True, - tokenize=True, -) - -print(f"\nBase lengths:") -print(f" Without generation prompt: {len(base_wo_gen)}") -print(f" With generation prompt: {len(base_with_gen)}") -print(f" Generation prompt length: {len(base_with_gen) - len(base_wo_gen)}") - -# Now add an assistant message -assistant_message = {"role": "assistant", "content": "Hello world"} - -# VERL approach: tokenize [BASE_CHAT_HISTORY, assistant_message] -messages_with_assistant = [*BASE_CHAT_HISTORY, assistant_message] - -full_with_assistant = tokenizer.apply_chat_template( - messages_with_assistant, - add_generation_prompt=False, - tokenize=True, -) - -# Extract delta (what VERL does) -# They slice from base_with_gen_len -delta_tokens = full_with_assistant[len(base_with_gen) :] - -print(f"\nFull conversation with assistant:") -print(f" Total length: {len(full_with_assistant)}") -print(f" Delta tokens (from base_with_gen): {len(delta_tokens)}") - -# Decode the delta -delta_text = tokenizer.decode(delta_tokens) -print(f"\nDelta decoded:") -print(f" Text: {repr(delta_text)}") -print(f" Tokens: {delta_tokens}") - -# Check if EOS is in delta -if eos_token_id in delta_tokens: - eos_idx = delta_tokens.index(eos_token_id) - print(f"\nEOS found at position {eos_idx} in delta") - print(f" Tokens before EOS: {delta_tokens[:eos_idx]}") - print(f" EOS token: {delta_tokens[eos_idx]}") - print(f" Tokens after EOS: {delta_tokens[eos_idx+1:]}") - - if len(delta_tokens) > eos_idx + 1: - after_eos_text = tokenizer.decode(delta_tokens[eos_idx + 1 :]) - print(f" Decoded after EOS: {repr(after_eos_text)}") -else: - print(f"\n⚠️ No EOS in delta tokens!") - -# Now let's see what happens if we manually append EOS (like vLLM does) -print("\n" + "=" * 80) -print("Simulating vLLM Generation (with EOS)") -print("=" * 80) - -# Simulate vLLM: returns tokens WITHOUT chat template suffix -vllm_tokens = tokenizer.encode("Hello world", add_special_tokens=False) + [eos_token_id] -print(f"\nvLLM tokens (content + EOS): {vllm_tokens}") -print(f" Decoded: {repr(tokenizer.decode(vllm_tokens))}") - -# Now when VERL adds this to conversation, what happens? -# They pass content_ids directly sometimes -print("\n" + "=" * 80) -print("VERL Approach 1: Using content_ids from vLLM") -print("=" * 80) - -# When they have content_ids from vLLM, they just use them directly -# (see line 399-412 in schemas.py) -print(f" content_ids from vLLM: {vllm_tokens}") -print(f" These get added with loss_mask=True") -print(f" Length: {len(vllm_tokens)}") - -# Check if there's a newline after EOS -if len(vllm_tokens) > 0 and vllm_tokens[-1] == eos_token_id: - print(f" ✓ Last token is EOS") -else: - print(f" ✗ Last token is NOT EOS: {vllm_tokens[-1]}") - -print("\n" + "=" * 80) -print("VERL Approach 2: Re-tokenizing with chat template") -print("=" * 80) - -# If they don't have content_ids, they re-tokenize -# Let's see what happens -messages_for_retokenize = [ - *BASE_CHAT_HISTORY, - {"role": "assistant", "content": "Hello world"}, -] -full_retokenize = tokenizer.apply_chat_template( - messages_for_retokenize, - add_generation_prompt=False, - tokenize=True, -) - -delta_retokenize = full_retokenize[len(base_with_gen) :] -print(f" Delta from re-tokenization: {delta_retokenize}") -print(f" Length: {len(delta_retokenize)}") - -# Compare with vLLM tokens -print(f"\n Comparison:") -print(f" vLLM tokens: {vllm_tokens}") -print(f" Re-tokenized delta: {delta_retokenize}") -print(f" Match: {vllm_tokens == delta_retokenize}") - -if vllm_tokens != delta_retokenize: - print(f"\n ⚠️ MISMATCH!") - print(f" Extra in delta: {delta_retokenize[len(vllm_tokens):]}") - if len(delta_retokenize) > len(vllm_tokens): - extra_text = tokenizer.decode(delta_retokenize[len(vllm_tokens) :]) - print(f" Decoded extra: {repr(extra_text)}") - -print("\n" + "=" * 80) -print("Conclusion") -print("=" * 80) - -print( - """ -Key findings: -1. When VERL uses content_ids from vLLM directly, they get exactly what was generated -2. When VERL re-tokenizes with apply_chat_template, the chat template MAY add extra tokens -3. The delta approach slices from base_with_gen_prompt_end_pos, which EXCLUDES generation - prompt but INCLUDES any suffix the chat template adds - -VERL's solution: -- They primarily use content_ids from the generation engine (vLLM/SGLang) -- Only re-tokenize when content_ids is None -- When they do re-tokenize, they accept whatever the chat template produces -- Then use get_response_mask() to mask tokens after EOS - -Our bug: -- We're re-tokenizing with apply_chat_template (delta approach) -- Chat template adds \\n after EOS -- We mark it as response_mask=True -- Then we train at EOS position (predicting the \\n) - -Fix options: -1. Use vLLM tokens directly (don't re-tokenize) - like VERL approach 1 -2. Strip after EOS when re-tokenizing - explicit fix -3. Mask EOS positions in loss_mask - defensive fix -""" -) diff --git a/debug/test_vllm_tokens_directly.py b/debug/test_vllm_tokens_directly.py deleted file mode 100644 index 4f8f3bd9f..000000000 --- a/debug/test_vllm_tokens_directly.py +++ /dev/null @@ -1,304 +0,0 @@ -#!/usr/bin/env python3 -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Demonstrate how to use vLLM tokens directly (like VERL) with proper prefix handling. - -Shows that prefix tokens come from the anchor/generation_prompt, NOT from re-tokenizing. -""" - -import sys - -sys.path.insert(0, "/home/felipemello/forge") - -import torch -from vllm.transformers_utils.tokenizer import get_tokenizer - -# Setup -tokenizer = get_tokenizer("Qwen/Qwen2.5-0.5B-Instruct") -eos_token_id = tokenizer.eos_token_id - -# Initial messages -initial_messages = [{"role": "system", "content": "You are helpful."}] - -# Simulate what happens during multi-turn conversation -print("=" * 80) -print("MULTI-TURN CONVERSATION WITH VLLM TOKENS (VERL STYLE)") -print("=" * 80) - -# ============================================================================ -# Initialize: Tokenize initial prompt -# ============================================================================ -print("\n[INIT] Tokenizing initial prompt") - -# Tokenize with generation prompt to get ready for first generation -prompt_with_gen = tokenizer.apply_chat_template( - initial_messages, - add_generation_prompt=True, - tokenize=True, -) - -# Also tokenize without generation prompt to know where it starts -prompt_without_gen = tokenizer.apply_chat_template( - initial_messages, - add_generation_prompt=False, - tokenize=True, -) - -generation_prompt_len = len(prompt_with_gen) - len(prompt_without_gen) - -# Start with just the prompt (no generation prompt yet) -accumulated_tokens = prompt_without_gen.copy() -response_mask = [False] * len(accumulated_tokens) - -print(f"Initial tokens: {accumulated_tokens}") -print(f"Response mask: {response_mask}") -print(f"Generation prompt length: {generation_prompt_len}") - -# ============================================================================ -# Turn 1: User says "hi" -# ============================================================================ -print("\n" + "=" * 80) -print("TURN 1: User says 'hi'") -print("=" * 80) - -# Compute delta for user message -temp_messages = [*initial_messages, {"role": "user", "content": "hi"}] -temp_tokens = tokenizer.apply_chat_template( - temp_messages, add_generation_prompt=False, tokenize=True -) -user_delta_1 = temp_tokens[len(accumulated_tokens) :] - -accumulated_tokens.extend(user_delta_1) -response_mask.extend([False] * len(user_delta_1)) - -print(f"User delta: {user_delta_1}") -print(f"Decoded: {repr(tokenizer.decode(user_delta_1))}") -print(f"Total tokens: {len(accumulated_tokens)}") - -# ============================================================================ -# Turn 1: Agent responds "hi there!" -# ============================================================================ -print("\n" + "=" * 80) -print("TURN 1: Agent responds 'hi there!' (using vLLM tokens)") -print("=" * 80) - -# Simulate vLLM generation (returns tokens WITHOUT prefix, WITH EOS) -vllm_response_1_text = "hi there!" -vllm_response_1_tokens = tokenizer.encode( - vllm_response_1_text, add_special_tokens=False -) + [eos_token_id] - -print(f"vLLM returns: {vllm_response_1_tokens}") -print(f"Decoded: {repr(tokenizer.decode(vllm_response_1_tokens))}") - -# Get generation prompt tokens (these go BEFORE vLLM tokens) -# We compute this from the anchor -anchor_without = tokenizer.apply_chat_template( - [{"role": "system", "content": ""}, {"role": "user", "content": ""}], - add_generation_prompt=False, - tokenize=True, -) -anchor_with = tokenizer.apply_chat_template( - [{"role": "system", "content": ""}, {"role": "user", "content": ""}], - add_generation_prompt=True, - tokenize=True, -) -generation_prompt_tokens = anchor_with[len(anchor_without) :] - -print(f"\nGeneration prompt tokens: {generation_prompt_tokens}") -print(f"Decoded: {repr(tokenizer.decode(generation_prompt_tokens))}") - -# Add generation prompt (NOT trainable) -accumulated_tokens.extend(generation_prompt_tokens) -response_mask.extend([False] * len(generation_prompt_tokens)) - -# Add vLLM tokens (trainable) -accumulated_tokens.extend(vllm_response_1_tokens) -response_mask.extend([True] * len(vllm_response_1_tokens)) - -print(f"\nAfter adding generation prompt + vLLM tokens:") -print(f" Total tokens: {len(accumulated_tokens)}") -print(f" Response tokens: {sum(response_mask)}") - -# ============================================================================ -# Turn 2: User says "hello" -# ============================================================================ -print("\n" + "=" * 80) -print("TURN 2: User says 'hello'") -print("=" * 80) - -# Update messages -messages_so_far = [ - {"role": "system", "content": "You are helpful."}, - {"role": "user", "content": "hi"}, - {"role": "assistant", "content": vllm_response_1_text}, - {"role": "user", "content": "hello"}, -] - -# Compute delta -temp_tokens_2 = tokenizer.apply_chat_template( - messages_so_far, add_generation_prompt=False, tokenize=True -) -user_delta_2 = temp_tokens_2[len(accumulated_tokens) :] - -accumulated_tokens.extend(user_delta_2) -response_mask.extend([False] * len(user_delta_2)) - -print(f"User delta: {user_delta_2}") -print(f"Decoded: {repr(tokenizer.decode(user_delta_2))}") -print(f"Total tokens: {len(accumulated_tokens)}") - -# ============================================================================ -# Turn 2: Agent responds "hello" -# ============================================================================ -print("\n" + "=" * 80) -print("TURN 2: Agent responds 'hello' (using vLLM tokens)") -print("=" * 80) - -# Simulate vLLM -vllm_response_2_text = "hello" -vllm_response_2_tokens = tokenizer.encode( - vllm_response_2_text, add_special_tokens=False -) + [eos_token_id] - -print(f"vLLM returns: {vllm_response_2_tokens}") -print(f"Decoded: {repr(tokenizer.decode(vllm_response_2_tokens))}") - -# Add generation prompt (same tokens as before) -accumulated_tokens.extend(generation_prompt_tokens) -response_mask.extend([False] * len(generation_prompt_tokens)) - -# Add vLLM tokens -accumulated_tokens.extend(vllm_response_2_tokens) -response_mask.extend([True] * len(vllm_response_2_tokens)) - -print(f"\nAfter adding generation prompt + vLLM tokens:") -print(f" Total tokens: {len(accumulated_tokens)}") -print(f" Response tokens: {sum(response_mask)}") - -# ============================================================================ -# Final verification -# ============================================================================ -print("\n" + "=" * 80) -print("FINAL VERIFICATION") -print("=" * 80) - -# Verify our accumulated tokens match ground truth -final_messages = [ - {"role": "system", "content": "You are helpful."}, - {"role": "user", "content": "hi"}, - {"role": "assistant", "content": vllm_response_1_text}, - {"role": "user", "content": "hello"}, - {"role": "assistant", "content": vllm_response_2_text}, -] - -ground_truth = tokenizer.apply_chat_template( - final_messages, add_generation_prompt=False, tokenize=True -) - -print(f"Accumulated length: {len(accumulated_tokens)}") -print(f"Ground truth length: {len(ground_truth)}") -print(f"Match: {accumulated_tokens == ground_truth}") - -if accumulated_tokens != ground_truth: - print(f"\n⚠️ MISMATCH!") - print(f"Accumulated: {accumulated_tokens}") - print(f"Ground truth: {ground_truth}") -else: - print(f"\n✅ PERFECT MATCH!") - -# ============================================================================ -# Show where prefixes are -# ============================================================================ -print("\n" + "=" * 80) -print("TOKEN BREAKDOWN") -print("=" * 80) - -# Decode full sequence -full_decoded = tokenizer.decode(accumulated_tokens) - -print(f"\nFull sequence ({len(accumulated_tokens)} tokens):") -response_mask_tensor = torch.tensor(response_mask, dtype=torch.bool) - -for i, (token, is_response) in enumerate(zip(accumulated_tokens, response_mask)): - decoded = tokenizer.decode([token]) - # Clean for display - decoded = decoded.replace("\n", "\\n").replace("\r", "\\r") - if len(decoded) > 15: - decoded = decoded[:15] + "..." - - marker = "RESP" if is_response else " " - eos_marker = " [EOS]" if token == eos_token_id else "" - - print(f" {i:3d}: {token:6d} {decoded:20s} {marker}{eos_marker}") - -# ============================================================================ -# Check: No newlines after EOS with response_mask=True -# ============================================================================ -print("\n" + "=" * 80) -print("CHECKING FOR BUG (tokens after EOS with response_mask=True)") -print("=" * 80) - -bug_found = False -for i in range(len(accumulated_tokens) - 1): - if accumulated_tokens[i] == eos_token_id and response_mask[i]: - # Check next token - if response_mask[i + 1]: - print(f"🔥 BUG at position {i}!") - print(f" Token {i}: EOS with response_mask=True") - print(f" Token {i+1}: {accumulated_tokens[i+1]} with response_mask=True") - bug_found = True - -if not bug_found: - print("✅ No bug found! No tokens after EOS have response_mask=True") - -# ============================================================================ -# Create loss_mask -# ============================================================================ -print("\n" + "=" * 80) -print("CREATING LOSS_MASK") -print("=" * 80) - -response_mask_tensor = torch.tensor(response_mask, dtype=torch.bool) -loss_mask = torch.roll(response_mask_tensor, shifts=-1, dims=0).float() -loss_mask[-1] = 0.0 - -# Check EOS positions -eos_positions = [i for i, t in enumerate(accumulated_tokens) if t == eos_token_id] -print(f"\nEOS positions: {eos_positions}") - -for pos in eos_positions: - print(f" Position {pos}:") - print(f" response_mask: {response_mask[pos]}") - print(f" loss_mask: {loss_mask[pos].item()}") - if loss_mask[pos] == 1.0: - print(f" ⚠️ Training at EOS position!") - else: - print(f" ✅ Not training at EOS position") - -print("\n" + "=" * 80) -print("SUMMARY") -print("=" * 80) -print( - f""" -Approach: Use vLLM tokens directly (VERL style) - -Key points: -1. Generation prompt tokens come from anchor computation -2. They are added BEFORE vLLM response tokens -3. They have response_mask=False (not trainable) -4. vLLM tokens have response_mask=True (trainable) -5. No re-tokenization → no extra \\n tokens after EOS! - -Result: -- Total tokens: {len(accumulated_tokens)} -- Response tokens: {sum(response_mask)} -- Matches ground truth: {accumulated_tokens == ground_truth} -- Bug (tokens after EOS): {bug_found} -""" -) diff --git a/debug/thinking_tag_test.py b/debug/thinking_tag_test.py deleted file mode 100644 index b82d511b2..000000000 --- a/debug/thinking_tag_test.py +++ /dev/null @@ -1,116 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -from vllm.transformers_utils.tokenizer import get_tokenizer - -tokenizer = get_tokenizer("Qwen/Qwen3-1.7B") - -sys_message = { - "role": "system", - "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", -} - -user_message = {"role": "user", "content": "Hand: 15, Dealer: 10"} - -assistant_message_partial = {"role": "assistant", "content": "PARTIAL THINKING"} - -messages = [ - sys_message, - user_message, - assistant_message_partial, -] - -for add_generation_prompt in [True, False]: - for tokenize in [True, False]: - for enable_thinking in [True, False]: - print( - f"add_generation_prompt={add_generation_prompt}, " - f"tokenize={tokenize}, " - f"enable_thinking={enable_thinking}" - ) - msg_with_chat_template = tokenizer.apply_chat_template( - messages, - add_generation_prompt=add_generation_prompt, - tokenize=tokenize, - enable_thinking=enable_thinking, - ) - if tokenize: - print( - f"msg_with_chat_template decoded: {tokenizer.decode(msg_with_chat_template)}" - ) - else: - print(f"msg_with_chat_template: {msg_with_chat_template}") - print("=" * 5) - - -print("NOW COMPLETE THINKING") - -assistant_message_complete = { - "role": "assistant", - "content": "COMPLETE THINKING", -} -messages = [ - sys_message, - user_message, - assistant_message_complete, -] - -for add_generation_prompt in [True]: - for tokenize in [True]: - for enable_thinking in [True, False]: - print( - f"add_generation_prompt={add_generation_prompt}, " - f"tokenize={tokenize}, " - f"enable_thinking={enable_thinking}" - ) - msg_with_chat_template = tokenizer.apply_chat_template( - messages, - add_generation_prompt=add_generation_prompt, - tokenize=tokenize, - enable_thinking=enable_thinking, - ) - - if tokenize: - print( - f"msg_with_chat_template decoded: {tokenizer.decode(msg_with_chat_template)}" - ) - else: - print(f"msg_with_chat_template: {msg_with_chat_template}") - print("=" * 5) - -print("NO THINKING") -assistant_message_no_thinking = { - "role": "assistant", - "content": "NO THINKING CONTENT", -} -messages = [ - sys_message, - user_message, - assistant_message_no_thinking, -] - -for add_generation_prompt in [True]: - for tokenize in [True]: - for enable_thinking in [True, False]: - print( - f"add_generation_prompt={add_generation_prompt}, " - f"tokenize={tokenize}, " - f"enable_thinking={enable_thinking}" - ) - msg_with_chat_template = tokenizer.apply_chat_template( - messages, - add_generation_prompt=add_generation_prompt, - tokenize=tokenize, - enable_thinking=enable_thinking, - ) - - if tokenize: - print( - f"msg_with_chat_template decoded: {tokenizer.decode(msg_with_chat_template)}" - ) - else: - print(f"msg_with_chat_template: {msg_with_chat_template}") - print("=" * 5) diff --git a/debug/tinker_cookbook_masking_research.md b/debug/tinker_cookbook_masking_research.md deleted file mode 100644 index 03305928b..000000000 --- a/debug/tinker_cookbook_masking_research.md +++ /dev/null @@ -1,535 +0,0 @@ -# Tinker-Cookbook Multi-Turn Conversation Masking Research - -**Date:** 2025-11-19 -**Repository:** `/home/felipemello/forge/tinker-cookbook/` - -## Executive Summary - -Tinker-cookbook uses a **weights-based masking** approach for multi-turn conversation training, similar to what we're implementing. However, they do **NOT** perform any suffix stripping after EOS tokens. Their approach is simpler and relies on the renderer to define what gets masked during training. - -### Key Findings: -1. **No explicit `loss_mask` or `response_mask`** - they use `weights` (0.0 or 1.0) to control what to train on -2. **No suffix stripping after EOS** - they include EOS tokens in the training sequence and rely on stop sequences during sampling -3. **No suffix length validation** - they don't check for tokens after EOS -4. **Masking is controlled by `TrainOnWhat` enum** - determines which messages get weight=1.0 - ---- - -## 1. Mask Creation (Weights) - -### Location: `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/renderers.py` - -The core masking logic is in the `build_supervised_example` function (lines 84-138): - -```python -def build_supervised_example( - start_tokens: list[int], - render_message: Callable[[int, Message], tuple[list[int], list[int], list[int]]], - messages: list[Message], - train_on_what: TrainOnWhat = TrainOnWhat.LAST_ASSISTANT_MESSAGE, -) -> tuple[torch.Tensor, torch.Tensor]: - """ - Generates tokens and weights (for SFT) in the most standard way; by concatenating - together tokens and weights for each message. - - Args: - start_tokens: a list of tokens that are added at the beginning of the sequence. - render_message: a function that takes an index and a message and returns a tuple of three lists of tokens: - - ob_part: tokens for the observation part of the message - - action_part: tokens for the action part of the message - - action_tail: tokens that are generated by the assistant in this message, which are also - part of the ob part of the next message. (Only relevant for some renderers, such as RoleColonRenderer) - train_on_what: an enum that controls how the weights are assigned to the tokens. - - TrainOnWhat.LAST_ASSISTANT_MESSAGE: only the last assistant message is used for training - - TrainOnWhat.ALL_ASSISTANT_MESSAGES: all assistant messages are used for training - messages: a list of messages to render. - - Returns: - A tuple of two tensors: - - tokens: a tensor of tokens - - weights: a tensor of weights - """ - tokens_weights = [(token, 0) for token in start_tokens] - for idx, message in enumerate(messages[:-1]): - ob_part, action_part, action_tail = render_message(idx, message) - if train_on_what == TrainOnWhat.LAST_ASSISTANT_MESSAGE: - tokens_weights.extend([(token, 0) for token in ob_part + action_part]) - elif train_on_what == TrainOnWhat.ALL_ASSISTANT_MESSAGES: - tokens_weights += [(token, 0) for token in ob_part] - # TODO: look at the previous action tail and its overlap with the current action part - # and put weight of 1 on those tokens too. - is_assistant = message["role"] == "assistant" - tokens_weights += [(token, int(is_assistant)) for token in action_part] - elif train_on_what == TrainOnWhat.ALL_MESSAGES: - tokens_weights += [(token, 0) for token in ob_part] - tokens_weights += [(token, 1) for token in action_part] - elif train_on_what == TrainOnWhat.ALL_TOKENS: - tokens_weights += [(token, 1) for token in ob_part + action_part] - elif train_on_what == TrainOnWhat.ALL_USER_AND_SYSTEM_MESSAGES: - tokens_weights += [(token, 0) for token in ob_part] - is_user_or_system = message["role"] in ["user", "system"] - tokens_weights += [(token, int(is_user_or_system)) for token in action_part] - else: - raise ValueError(f"Unknown train_on_what: {train_on_what}") - ob_part, action_part, action_tail = render_message(len(messages) - 1, messages[-1]) - tokens_weights.extend([(token, 0) for token in ob_part]) - tokens_weights.extend([(token, 1) for token in action_part + action_tail]) - tokens, weights = zip(*tokens_weights, strict=True) - return torch.tensor(tokens), torch.tensor(weights) -``` - -### TrainOnWhat Options (lines 39-45): -```python -class TrainOnWhat(StrEnum): - LAST_ASSISTANT_MESSAGE = "last_assistant_message" - ALL_ASSISTANT_MESSAGES = "all_assistant_messages" - ALL_MESSAGES = "all_messages" - ALL_TOKENS = "all_tokens" - ALL_USER_AND_SYSTEM_MESSAGES = "all_user_and_system_messages" -``` - -### Example: Llama3 Renderer (lines 246-314) - -```python -class Llama3Renderer(Renderer): - """ - Format like this: - <|begin_of_text|><|start_header_id|>system<|end_header_id|> - - You are a helpful AI assistant for travel tips and recommendations<|eot_id|><|start_header_id|>user<|end_header_id|> - - What can you help me with?<|eot_id|><|start_header_id|>assistant<|end_header_id|> - - """ - - def _render_message(self, message: Message) -> tuple[list[int], list[int], list[int]]: - assert message.get("thinking") is None, "CoT tokens not supported in Llama3" - ob_str = f"<|start_header_id|>{message['role']}<|end_header_id|>\n\n" - # Observation (prompt) part - ac_str = f"{message['content']}<|eot_id|>" - # Action part - ac_tail_str = "" # No action tail needed for Llama3 format - # Action part that's only included in the last message in SFT - return ( - self.tokenizer.encode(ob_str, add_special_tokens=False), - self.tokenizer.encode(ac_str, add_special_tokens=False), - self.tokenizer.encode(ac_tail_str, add_special_tokens=False), - ) - - def build_supervised_example( - self, - messages: list[Message], - train_on_what: TrainOnWhat = TrainOnWhat.LAST_ASSISTANT_MESSAGE, - ) -> tuple[torch.Tensor, torch.Tensor]: - """ - Get tokens and weights for action corresponding to final message - """ - return build_supervised_example( - self._bos_tokens, - lambda _idx, message: self._render_message(message), - messages, - train_on_what, - ) -``` - -**Key Point:** The EOS token `<|eot_id|>` is included in `ac_str` (action part), which means it gets weight=1 during training. - ---- - -## 2. EOS Token Handling - -### Location: `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/renderers.py` (lines 140-162) - -```python -def parse_response_for_stop_token( - response: list[int], tokenizer: Tokenizer, stop_token: int -) -> tuple[Message, bool]: - """Parse response for a single stop token. - - We expect a properly rendered response to have exactly one stop token; but it may have zero if e.g. the model - ran out of tokens when sampling, which will incur a format error. If there are > 1, there is likely a bug in the - sampler and we should error. - """ - emt_count = response.count(stop_token) - if emt_count == 0: - str_response = tokenizer.decode(response) - logger.debug(f"Response is not a valid assistant response: {str_response}") - return Message(role="assistant", content=str_response), False - elif emt_count == 1: - str_response = tokenizer.decode(response[: response.index(stop_token)]) - return Message(role="assistant", content=str_response), True - else: - raise ValueError( - f"When parsing response, expected to split into 1 or 2 pieces using stop tokens, but got {emt_count}. " - "You probably are using the wrong stop tokens when sampling" - ) -``` - -### Test Coverage (lines 131-172 in test_renderers.py): - -```python -def test_eot_parsing(model_name: str, renderer_name: str): - """Test EOT token parsing behavior for different renderers using real tokenizers.""" - tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=True) - renderer = get_renderer(renderer_name, tokenizer) - - # Get the appropriate EOT token for each renderer - if renderer_name == "llama3": - eot_token = "<|eot_id|>" - elif renderer_name == "qwen3": - eot_token = "<|im_end|>" - elif renderer_name.startswith("gpt_oss"): - eot_token = "<|return|>" - else: - raise ValueError(f"Unknown renderer: {renderer_name}") - - # Test case 1: Normal case with single EOT - should parse correctly - test_response_with_eot = f"53 + 18 = 71{eot_token}" - response_tokens = tokenizer.encode(test_response_with_eot, add_special_tokens=False) - - message, format_correct = renderer.parse_response(response_tokens) - assert message["role"] == "assistant" - assert message["content"] == "53 + 18 = 71" - assert format_correct is True - - # Test case 2: No EOT token - should have format=False - test_response_no_eot = "53 + 18 = 71" - response_tokens_no_eot = tokenizer.encode(test_response_no_eot, add_special_tokens=False) - - message, format_correct = renderer.parse_response(response_tokens_no_eot) - assert message["role"] == "assistant" - assert message["content"] == "53 + 18 = 71" - assert format_correct is False - - # Test case 3: Double EOT token - should raise ValueError - test_response_double_eot = f"53 + 18 = 71{eot_token}{eot_token}" - response_tokens_double_eot = tokenizer.encode( - test_response_double_eot, add_special_tokens=False - ) - - with pytest.raises(ValueError, match="expected to split into 1 or 2 pieces"): - _ = renderer.parse_response(response_tokens_double_eot) -``` - -**Key Findings:** -- When parsing responses, they **strip everything after the EOS token** (line 155: `response[: response.index(stop_token)]`) -- They expect **exactly 0 or 1** EOS tokens (more than 1 raises an error) -- They use this parsing during **inference/evaluation only**, NOT during training data preparation - ---- - -## 3. Suffix Handling After EOS - -### **CRITICAL FINDING: No Suffix Stripping or Validation** - -After extensive search, there is **NO CODE** that: -1. Strips tokens after EOS in training data -2. Checks suffix length after EOS -3. Validates that nothing appears after EOS - -The approach is: -1. **During Training**: Include the EOS token as part of the action tokens with weight=1.0 -2. **During Sampling**: Use `stop` sequences to prevent generation beyond EOS -3. **During Parsing**: Strip everything after EOS when converting tokens back to messages - -### Sampling Configuration (rl_loop.py lines 97-100): - -```python -sampling_params = tinker.types.SamplingParams( - max_tokens=config.max_tokens, - stop=renderer.get_stop_sequences(), -) -``` - -### Stop Sequences by Renderer: - -**Llama3** (renderers.py lines 310-311): -```python -def get_stop_sequences(self) -> list[int]: - return [self._end_message_token] -``` - -**RoleColonRenderer** (renderers.py lines 219-220): -```python -def get_stop_sequences(self) -> list[str]: - return ["\n\nUser:"] -``` - -**Qwen3** (renderers.py lines 391-392): -```python -def get_stop_sequences(self) -> list[int]: - return [self._end_message_token] -``` - ---- - -## 4. Chat Template Handling - -### Location: `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/tests/test_renderers.py` (lines 18-62) - -They **validate against HuggingFace's `apply_chat_template`** but don't use it directly: - -```python -def test_generation_against_hf_chat_templates(model_name: str): - """Test generation prompt against HF chat templates""" - tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=True) - render_name = ( - get_recommended_renderer_name(model_name) - if not model_name.startswith("openai") - else "gpt_oss_medium_reasoning" - ) - cookbook_renderer = get_renderer(render_name, tokenizer) - convo: list[Message] = [ - {"role": "user", "content": "Hello, how are you?"}, - {"role": "assistant", "content": "I'm fine, thank you!"}, - {"role": "user", "content": "What is the capital of France?"}, - ] - - # ... model-specific setup ... - - cookbook_tokens = cookbook_renderer.build_generation_prompt(aug_convo).to_ints() - hf_tokens = tokenizer.apply_chat_template(convo, add_generation_prompt=True) - - assert cookbook_tokens == hf_tokens, ( - f"Cookbook tokens: {cookbook_tokens}\n" - f"Cookbook string: {tokenizer.decode(cookbook_tokens)}\n" - f"HF tokens: {hf_tokens}\n" - f"HF string: {tokenizer.decode(hf_tokens)}" - ) -``` - -**Key Point:** They implement their own renderers but validate that they match HuggingFace's behavior exactly. - ---- - -## 5. RL Data Processing (Mask for Actions) - -### Location: `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/rl/data_processing.py` (lines 89-173) - -For RL training, they create a separate `mask` field (different from supervised `weights`): - -```python -def trajectory_to_data(traj: Trajectory, traj_advantage: float) -> list[tinker.Datum]: - """ - Return one or more Datum objects corresponding to the trajectory. - If the sequence grows by appending, i.e., each successive observation contains - the previous observation+action as a prefix, then we can return a single Datum. - However, if we get a sequence that's not an extension of the previous sequence, - then that results in a new Datum. - """ - - class SequenceAccumulator: - full_sequence: list[FlatObElem] = [] - sampled_logprobs: list[float] = [] - advantages: list[float] = [] - mask: list[float] = [] - - @classmethod - def clear(cls): - cls.full_sequence = [] - cls.sampled_logprobs = [] - cls.advantages = [] - cls.mask = [] - - def make_datum_from_state(): - # TODO: generalize to multimodal - all_tokens_T = _flat_ob_to_model_input(SequenceAccumulator.full_sequence) - input_tokens_T, target_tokens_T = _to_input_targets(all_tokens_T) - sampled_logprobs_T = SequenceAccumulator.sampled_logprobs[1:] - advantages_T = SequenceAccumulator.advantages[1:] - mask_T = SequenceAccumulator.mask[1:] - assert ( - input_tokens_T.length - == len(target_tokens_T) - == len(sampled_logprobs_T) - == len(advantages_T) - == len(mask_T) - ) - return tinker.Datum( - model_input=input_tokens_T, - loss_fn_inputs={ - "target_tokens": TensorData.from_torch(torch.tensor(target_tokens_T)), - "logprobs": TensorData.from_torch(torch.tensor(sampled_logprobs_T)), - "advantages": TensorData.from_torch(torch.tensor(advantages_T)), - "mask": TensorData.from_torch(torch.tensor(mask_T)), - }, - ) - - data: list[tinker.Datum] = [] - for transition in traj.transitions: - ob = transition.ob - ob_flat = _flatten_chunks(ob.chunks) - ac_with_logprobs = transition.ac - if len(SequenceAccumulator.full_sequence) == 0: - delta_ob_flat = ob_flat - elif _is_prefix(SequenceAccumulator.full_sequence, ob_flat): - delta_ob_flat = ob_flat[len(SequenceAccumulator.full_sequence) :] - else: - data.append(make_datum_from_state()) - SequenceAccumulator.clear() - delta_ob_flat = ob_flat - delta_ob_len = _flat_ob_token_len(delta_ob_flat) - SequenceAccumulator.full_sequence.extend(delta_ob_flat) - SequenceAccumulator.full_sequence.extend(ac_with_logprobs.tokens) - SequenceAccumulator.sampled_logprobs.extend( - [0.0] * delta_ob_len + ac_with_logprobs.logprobs - ) - SequenceAccumulator.advantages.extend( - [0] * delta_ob_len + [traj_advantage] * len(ac_with_logprobs.tokens) - ) - SequenceAccumulator.mask.extend([0.0] * delta_ob_len + [1.0] * len(ac_with_logprobs.tokens)) - - if SequenceAccumulator.full_sequence: - data.append(make_datum_from_state()) - - return data -``` - -**Key Point (line 168):** -```python -SequenceAccumulator.mask.extend([0.0] * delta_ob_len + [1.0] * len(ac_with_logprobs.tokens)) -``` - -The mask is set to: -- `0.0` for observation tokens -- `1.0` for action tokens (including any EOS tokens in the action) - ---- - -## 6. Conversion from Tokens to Datum - -### Location: `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/supervised/common.py` (lines 29-56) - -```python -def datum_from_tokens_weights( - tokens: torch.Tensor, - weights: torch.Tensor, - max_length: int | None = None, -) -> tinker.Datum: - if max_length is not None: - tokens = tokens[:max_length] - weights = weights[:max_length] - - input_tokens = tokens[:-1] - target_tokens = tokens[1:] - weights = weights[1:] - - return tinker.Datum( - model_input=tinker.ModelInput.from_ints(tokens=input_tokens.tolist()), - loss_fn_inputs={ - "weights": tinker.TensorData( - data=weights.tolist(), - dtype="float32", - shape=list(weights.shape), - ), - "target_tokens": tinker.TensorData( - data=[int(x) for x in target_tokens.tolist()], - dtype="int64", - shape=list(target_tokens.shape), - ), - }, - ) -``` - -**Key Points:** -- Line 38: `input_tokens = tokens[:-1]` - removes the last token to create input -- Line 39: `target_tokens = tokens[1:]` - shifts by 1 to create targets -- Line 40: `weights = weights[1:]` - shifts weights to align with targets -- No validation for suffix tokens after EOS - ---- - -## 7. Visualization Tool - -### Location: `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/supervised/viz_sft_dataset.py` - -They have a tool to visualize which tokens are masked: - -```python -def run(cfg: Config): - n_examples_total = 100 - common_config = ChatDatasetBuilderCommonConfig( - model_name_for_tokenizer=cfg.model_name, - renderer_name=cfg.renderer_name or model_info.get_recommended_renderer_name(cfg.model_name), - max_length=cfg.max_length, - batch_size=n_examples_total, - ) - dataset_builder = lookup_func( - cfg.dataset_path, default_module="tinker_cookbook.recipes.chat_sl.chat_datasets" - )(common_config=common_config) - assert isinstance(dataset_builder, SupervisedDatasetBuilder) - tokenizer = get_tokenizer(cfg.model_name) - train_dataset, _ = dataset_builder() - batch = train_dataset.get_batch(0) - for datum in batch: - int_tokens = list(datum.model_input.to_ints()) + [ - datum.loss_fn_inputs["target_tokens"].tolist()[-1] - ] - weights = [0.0] + datum.loss_fn_inputs["weights"].tolist() - print(format_colorized(int_tokens, weights, tokenizer)) - input("press enter") -``` - -Color coding in `/home/felipemello/forge/tinker-cookbook/tinker_cookbook/utils/format_colorized.py`: -- **Green**: weight > 0 (trained on) -- **Yellow**: weight = 0 (not trained on) -- **Red**: weight < 0 (shouldn't happen) - ---- - -## Comparison with Forge Implementation - -| Aspect | Tinker-Cookbook | Forge (Current) | -|--------|-----------------|-----------------| -| **Mask Type** | `weights` (float: 0.0 or 1.0) | `loss_mask` (int: 0 or 1) | -| **EOS in Training** | ✅ Included with weight=1.0 | ✅ Included with mask=1 | -| **Suffix Stripping** | ❌ None | ❌ None (previously attempted) | -| **Suffix Validation** | ❌ None | ✅ Checks suffix_len > 0 | -| **Stop Sequences** | ✅ Used during sampling | ✅ Used during sampling | -| **Parse Response** | ✅ Strips after EOS | ✅ Strips after EOS | -| **Multi-turn Support** | ✅ Via `TrainOnWhat` | ✅ Via masking logic | - ---- - -## Recommendations - -Based on tinker-cookbook's approach: - -1. **Remove suffix length validation** - They don't validate that suffix_len > 0, suggesting it's acceptable to have no tokens after EOS in the response - -2. **Keep EOS in training data** - The EOS token should be part of the response with mask=1 - -3. **Rely on stop sequences** - During sampling, the stop sequences will prevent generation beyond EOS - -4. **Use parsing for evaluation** - When converting sampled tokens back to messages, strip everything after EOS - -5. **Consider adding visualization** - Their `format_colorized` utility is useful for debugging masking - -6. **Validate against HF chat templates** - Ensure our rendering matches the model's expected format - ---- - -## Code References - -All file paths are absolute from `/home/felipemello/forge/tinker-cookbook/`: - -- **Core masking logic**: `tinker_cookbook/renderers.py:84-138` -- **EOS handling**: `tinker_cookbook/renderers.py:140-162` -- **RL mask creation**: `tinker_cookbook/rl/data_processing.py:89-173` -- **Datum creation**: `tinker_cookbook/supervised/common.py:29-56` -- **Chat datasets**: `tinker_cookbook/recipes/chat_sl/chat_datasets.py:17-26` -- **Test coverage**: `tinker_cookbook/tests/test_renderers.py:131-172` -- **Visualization**: `tinker_cookbook/supervised/viz_sft_dataset.py:24-45` - ---- - -## Conclusion - -Tinker-cookbook's approach is **simpler and more robust** than attempting to strip suffixes: - -1. They trust the renderer to define the full sequence (including EOS) -2. They use weights/mask to control what gets trained -3. They rely on stop sequences during sampling to prevent over-generation -4. They only strip after EOS during parsing/evaluation, not during data preparation - -This validates our current direction of removing the suffix stripping logic and accepting that some examples may have suffix_len=0. diff --git a/debug/token_accumulator_fn_v4.py b/debug/token_accumulator_fn_v4.py deleted file mode 100644 index 50181c8fd..000000000 --- a/debug/token_accumulator_fn_v4.py +++ /dev/null @@ -1,363 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -import threading -from enum import Enum - - -class SanityCheckMode(Enum): - """Validation mode for finalize().""" - - STRICT = "strict" - DISABLE = "disable" - - -class TruncationReason(Enum): - """Why an episode was truncated.""" - - MAX_TURNS = "max_turns" - AGENT_TOO_LONG = "agent_too_long" # No EOS token or exceeded budget - USER_TOO_LONG = "user_too_long" - TOOL_TOO_LONG = "tool_too_long" - - -class TokenAccumulator: - """ - Accumulates tokens during multi-turn RL rollouts with strict budget constraints. - **IMPORTANT** Truncation behavior: - - Agent response incomplete (no EOS): Tokens are dropped, nothing accumulated - - User message too long: Truncated to fit, episode marked for dropping - - Why do we need this class? - Problem: We need to track tokens as the conversation grows turn-by-turn. - - Naive approach 1 - Just tokenize each message independently: - user_text = "Hello" - user_tokens = tokenizer.encode(user_text) # [9906] - WRONG! -> Missing special tokens! Should be: [<|im_start|>, user, \n, 9906, <|im_end|>] - - Naive approach 2 - Tokenize a full conversation - WRONG! -> Qwen's template strips tags from past messages, tokens don't match! - Also, hard to create mask for the tokens that are traianble - - Solution - Delta tokenization: - We tokenize [anchor + new_message] and slice off only the new tokens, where anchor is just a dummy message to allow the tokenizer to apply the correct message tokens, e.g. <|im_start|>: - - Turn 1, adding user message: - tokenize([system, empty_user, new_user]) → [...system..., ...empty_user..., ...new_user...] - slice from anchor_len → get only new_user tokens - - Turn 1, adding assistant: - tokenize([system, empty_user, new_assistant]) → [...system..., ...empty_user..., ...new_assistant...] - slice from anchor_len → get only new_assistant tokens - - The anchor ([system, empty_user]) stays constant, so the chat template applies - consistent formatting to the new message, and we extract just those tokens. - - Usage: - acc = TokenAccumulator(tokenizer, messages=[...], max_seq_len=2048, eos_token_id=...) - - acc.add_user_message("Hello") - - input_text = acc.format_prompt() - - response = model.generate(input_text, max_tokens=acc.get_remaining_budget()) - - acc.add_assistant_response(response.text, response.token_ids) - - if acc.is_truncated: - return None # Drop episode - - return Episode( - token_ids=acc.accumulated_tokens, - response_mask=acc.response_mask, - log_probs=acc.log_probs, - messages=messages, - ...) - """ - - # Class-level lock for thread-safe tokenizer access across all instances - _tokenizer_lock = threading.Lock() - - def __init__( - self, - tokenizer, - messages: list[dict], - max_seq_len: int, - eos_token_id: int, - enable_thinking: bool = True, - sanity_check_mode: SanityCheckMode = SanityCheckMode.STRICT, - ): - self.tokenizer = tokenizer - self.max_seq_len = max_seq_len - self.eos_token_id = eos_token_id - self.enable_thinking = enable_thinking - self.sanity_check_mode = sanity_check_mode - - # Core state - self.messages = [] - self.accumulated_tokens = [] - self.response_mask = [] - self.logprobs = [] - - # Truncation tracking - self.is_truncated = False - self.truncation_reason = None - - self._setup_anchor(messages) - self._initialize_messages(messages) - - # ============ Public API ============ - - def add_user_message(self, content: str) -> bool: - """ - Add user message, truncating to fit budget if necessary. - Returns False if truncated. - """ - user_tokens = self._tokenize_delta({"role": "user", "content": content}, "user") - budget = self.get_remaining_budget() - original_len = len(user_tokens) - user_tokens = self._truncate_to_fit( - user_tokens, budget, TruncationReason.USER_TOO_LONG - ) - - if user_tokens: - self.messages.append({"role": "user", "content": content}) - mask = [False] * len(user_tokens) - self._accumulate(user_tokens, mask=mask) - - return len(user_tokens) == original_len - - def add_assistant_response( - self, - response_text: str, - response_token_ids: list[int], - response_logprobs: list[float] | None = None, - ) -> bool: - """ - Add assistant response. Returns False if response was truncated (no EOS). - Episode should be dropped if this returns False. - """ - # Check for truncation (missing EOS) - if response_token_ids and response_token_ids[-1] != self.eos_token_id: - return self._mark_truncated(TruncationReason.AGENT_TOO_LONG) - - message = {"role": "assistant", "content": response_text} - assistant_tokens = self._tokenize_delta(message, "assistant") - - # Check budget - reject if would exceed max_seq_len - if len(assistant_tokens) > self.get_remaining_budget(): - return self._mark_truncated(TruncationReason.AGENT_TOO_LONG) - else: - self.messages.append({"role": "assistant", "content": response_text}) - - # Use pre-calculated generation_prompt_len for prefix - # assistant_tokens includes prefix + content, so we mask prefix as False - prefix_len = self.generation_prompt_len - mask = [False] * prefix_len + [True] * (len(assistant_tokens) - prefix_len) - - # Map logprobs: vLLM returns content tokens only, pad at start for prefix - if ( - response_logprobs - and len(response_logprobs) <= len(assistant_tokens) - prefix_len - ): - logprobs = [0.0] * prefix_len + response_logprobs - # Pad any remaining tokens after vLLM tokens (e.g., trailing newline) - remaining = len(assistant_tokens) - prefix_len - len(response_logprobs) - if remaining > 0: - logprobs.extend([0.0] * remaining) - else: - logprobs = None - - self._accumulate(assistant_tokens, mask=mask, logprobs=logprobs) - return True - - def format_prompt(self) -> str: - """Format current conversation for generation.""" - with self._tokenizer_lock: - return self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=True, - tokenize=False, - enable_thinking=self.enable_thinking, - ) - - def get_remaining_budget(self) -> int: - """ - Get remaining tokens available for generation. - - We reserve generation_prompt_len tokens (e.g., "<|im_start|>assistant\n") - because format_prompt() adds these when preparing input for the model. - """ - used = len(self.accumulated_tokens) + self.generation_prompt_len - return max(0, self.max_seq_len - used) - - def finalize(self) -> bool: - """ - Validate final episode state. - Returns True if valid, raises ValueError if critical issue detected. - """ - self._check_structure() - - if self.sanity_check_mode != SanityCheckMode.DISABLE: - self._check_ground_truth() - - return True - - # ============ Private Helpers ============ - - def _setup_anchor(self, messages: list[dict]): - """ - Setup anchor conversation for delta tokenization. - - Delta tokenization: Instead of re-tokenizing the full conversation after each message, - we tokenize only the new message against a fixed anchor ([system, empty_user]). The dummy anchor is necessary to ensure that all special tokens are added. - - Computes key lengths for budget calculation: - - anchor_len: tokens in [system, empty_user] - - generation_prompt_len: tokens added by add_generation_prompt=True (e.g., "<|im_start|>assistant\n") - - system_len: tokens in [system] alone - """ - if not messages: - raise ValueError("Must provide at least system message") - - system_msg = ( - messages[0] - if messages[0]["role"] == "system" - else {"role": "system", "content": ""} - ) - - # Anchor: [system, empty_user] - stays constant for consistent tokenization - self.anchor = [system_msg, {"role": "user", "content": ""}] - - # Length of anchor without generation prompt - anchor_tokens = self.tokenizer.apply_chat_template( - self.anchor, - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.enable_thinking, - ) - self.anchor_len = len(anchor_tokens) - - # Length of anchor WITH generation prompt (VERL approach) - anchor_with_gen = self.tokenizer.apply_chat_template( - self.anchor, - add_generation_prompt=True, - tokenize=True, - enable_thinking=self.enable_thinking, - ) - self.anchor_with_gen_len = len(anchor_with_gen) - self.generation_prompt_len = self.anchor_with_gen_len - self.anchor_len - - # System message length alone (for user message delta slicing), e.g. full[self.system_len:] - system_tokens = self.tokenizer.apply_chat_template( - [system_msg], - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.enable_thinking, - ) - self.system_len = len(system_tokens) - - def _initialize_messages(self, messages: list[dict]): - """Initialize conversation with provided messages.""" - if not messages: - return - - initial_tokens = self.tokenizer.apply_chat_template( - messages, - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.enable_thinking, - ) - - if len(initial_tokens) > self.max_seq_len: - self._mark_truncated(TruncationReason.USER_TOO_LONG) - initial_tokens = initial_tokens[: self.max_seq_len] - - self.messages = messages.copy() - mask = [False] * len(initial_tokens) - self._accumulate(initial_tokens, mask=mask) - - def _tokenize_delta(self, message: dict, role: str) -> list[int]: - """Tokenize single message using anchor conversation.""" - if role == "assistant": - temp = [self.anchor[0], {"role": "user", "content": ""}, message] - # Slice from anchor_len to include prefix tokens in accumulated_tokens - offset = self.anchor_len - else: # user - temp = [self.anchor[0], message] - offset = self.system_len - - with self._tokenizer_lock: - full = self.tokenizer.apply_chat_template( - temp, - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.enable_thinking, - ) - return full[offset:] - - def _truncate_to_fit( - self, tokens: list[int], available: int, reason: TruncationReason - ) -> list[int]: - """ - Truncate tokens to fit available space. Marks truncation if needed. - Returns truncated tokens. - """ - if len(tokens) > available: - self._mark_truncated(reason) - return tokens[: max(0, available)] - return tokens - - def _accumulate( - self, tokens: list[int], mask: list[bool], logprobs: list[float] | None = None - ): - """Add tokens to accumulator.""" - self.accumulated_tokens.extend(tokens) - self.response_mask.extend(mask) - self.logprobs.extend(logprobs or [0.0] * len(tokens)) - - def _mark_truncated(self, reason: TruncationReason) -> bool: - """Mark episode as truncated and return False.""" - self.is_truncated = True - self.truncation_reason = reason - return False - - def _check_structure(self): - """Verify basic structural invariants.""" - assert ( - len(self.accumulated_tokens) - == len(self.response_mask) - == len(self.logprobs) - ) - - if len(self.accumulated_tokens) > self.max_seq_len: - raise ValueError( - f"Budget overflow: {len(self.accumulated_tokens)} > {self.max_seq_len}" - ) - - def _check_ground_truth(self): - """ - Compare with ground truth tokenization. - May fail with chat templates that modify history (e.g., Qwen deletes tokens from older messages. This would cause a disparate between accumulated tokens and tokenized messages, since we accumulated the tokens with the tokens). - """ - ground_truth = self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.enable_thinking, - ) - - if len(self.accumulated_tokens) == len(ground_truth): - return - - if self.sanity_check_mode == SanityCheckMode.STRICT: - diff = len(ground_truth) - len(self.accumulated_tokens) - raise ValueError( - f"Token count mismatch: {len(self.accumulated_tokens)} accumulated vs " - f"{len(ground_truth)} ground truth (diff: {diff}). " - f"This happens when chat template modifies history." - ) diff --git a/debug/token_accumulator_fn_v5.py b/debug/token_accumulator_fn_v5.py deleted file mode 100644 index 8196faef5..000000000 --- a/debug/token_accumulator_fn_v5.py +++ /dev/null @@ -1,313 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -import threading -from enum import Enum - - -class SanityCheckMode(Enum): - """Validation mode for finalize().""" - - STRICT = "strict" - DISABLE = "disable" - - -class TruncationReason(Enum): - """Why an episode was truncated.""" - - MAX_TURNS = "max_turns" - AGENT_TOO_LONG = "agent_too_long" - USER_TOO_LONG = "user_too_long" - TOOL_TOO_LONG = "tool_too_long" - - -class TokenAccumulator: - """ - Accumulates tokens during multi-turn RL rollouts using vLLM tokens directly (VERL approach). - - Key design: - - Uses generation tokens from vLLM WITHOUT re-tokenizing (avoids chat template suffix bugs) - - Generation prompt (<|im_start|>assistant\n) computed from anchor, added separately - - Prefix has response_mask=False, vLLM content has response_mask=True - - Usage: - acc = TokenAccumulator(tokenizer, messages=[...], max_seq_len=2048, eos_token_id=...) - acc.add_user_message("Hello") - prompt = acc.format_prompt() - response = model.generate(prompt, max_tokens=acc.get_remaining_budget()) - acc.add_assistant_response(response.token_ids, response.logprobs) - - return Episode( - token_ids=acc.accumulated_tokens, - response_mask=acc.response_mask, - ...) - """ - - _tokenizer_lock = threading.Lock() - - def __init__( - self, - tokenizer, - messages: list[dict], - max_seq_len: int, - eos_token_id: int, - enable_thinking: bool = True, - sanity_check_mode: SanityCheckMode = SanityCheckMode.STRICT, - ): - self.tokenizer = tokenizer - self.max_seq_len = max_seq_len - self.eos_token_id = eos_token_id - self.enable_thinking = enable_thinking - self.sanity_check_mode = sanity_check_mode - - self.messages = [] - self.accumulated_tokens = [] - self.response_mask = [] - self.logprobs = [] - self.is_truncated = False - self.truncation_reason = None - - self._setup_anchor(messages) - self._initialize_messages(messages) - - def add_user_message(self, content: str) -> bool: - """Add user message, truncating to fit budget if necessary. Returns False if truncated.""" - - message = {"role": "user", "content": content} - - with self._tokenizer_lock: - # Tokenize [system, user] to get delta tokens - full = self.tokenizer.apply_chat_template( - [self.anchor[0], message], - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.enable_thinking, - ) - - # Extract only user tokens (remove system prefix) - user_tokens = full[self.system_len :] - - # truncate - budget = self.get_remaining_budget() - original_len = len(user_tokens) - user_tokens = self._truncate_to_fit( - user_tokens, budget, TruncationReason.USER_TOO_LONG - ) - - if user_tokens: - self.messages.append(message) - self._accumulate(user_tokens, mask=[False] * len(user_tokens)) - - # False if truncated - return len(user_tokens) == original_len - - def add_assistant_response( - self, - response_text: str, - response_token_ids: list[int], - response_logprobs: list[float] | None = None, - ) -> bool: - """ - Add assistant response using vLLM tokens directly. - Returns False if truncated (no EOS or budget exceeded). - """ - # Check for truncation - if not response_token_ids or response_token_ids[-1] != self.eos_token_id: - return self._mark_truncated(TruncationReason.AGENT_TOO_LONG) - - # Check budget: generation_prompt + vLLM tokens - total_len = self.generation_prompt_len + len(response_token_ids) - if total_len > self.get_remaining_budget(): - return self._mark_truncated(TruncationReason.AGENT_TOO_LONG) - - # Decode for message log - self.messages.append({"role": "assistant", "content": response_text}) - - # Add generation prompt (not trainable) - self._accumulate( - self.generation_prompt_tokens, - mask=[False] * len(self.generation_prompt_tokens), - logprobs=[0.0] * len(self.generation_prompt_tokens), - ) - - # Add vLLM tokens (trainable) - if response_logprobs and len(response_logprobs) == len(response_token_ids): - logprobs = response_logprobs - else: - logprobs = [0.0] * len(response_token_ids) - - self._accumulate( - response_token_ids, mask=[True] * len(response_token_ids), logprobs=logprobs - ) - - return True - - def format_prompt(self) -> str: - """Format current conversation for generation.""" - with self._tokenizer_lock: - return self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=True, - tokenize=False, - enable_thinking=self.enable_thinking, - ) - - def get_remaining_budget(self) -> int: - """Get remaining tokens. It also reserves space for generation prompt, - e.g. "<|im_start|>assistant\n" """ - used = len(self.accumulated_tokens) + self.generation_prompt_len - return max(0, self.max_seq_len - used) - - def finalize(self) -> bool: - """Validate episode. Returns True if valid.""" - self._check_structure() - # if self.sanity_check_mode != SanityCheckMode.DISABLE: - # self._check_eos_alignment() - return True - - def _setup_anchor(self, messages: list[dict]): - """ - Setup anchor conversation for delta tokenization. - - Delta tokenization: Instead of re-tokenizing the full conversation after each message, - we tokenize only the new message against a fixed anchor ([system, empty_user]). - - Computes: - - generation_prompt_tokens: tokens for "<|im_start|>assistant\n" (added separately from vLLM tokens) - - generation_prompt_len: length of generation prompt (for budget calculation) - - system_len: tokens in [system] alone (for user message delta slicing) - """ - if not messages: - raise ValueError("Must provide at least system message") - - system_msg = ( - messages[0] - if messages[0]["role"] == "system" - else {"role": "system", "content": ""} - ) - - # Anchor: [system, empty_user] - stays constant for consistent tokenization - self.anchor = [system_msg, {"role": "user", "content": ""}] - - # Compute generation prompt tokens from anchor - anchor_without = self.tokenizer.apply_chat_template( - self.anchor, - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.enable_thinking, - ) - anchor_with = self.tokenizer.apply_chat_template( - self.anchor, - add_generation_prompt=True, - tokenize=True, - enable_thinking=self.enable_thinking, - ) - - # e.g., "<|im_start|>assistant\n" - self.generation_prompt_tokens = anchor_with[len(anchor_without) :] - self.generation_prompt_len = len(self.generation_prompt_tokens) - - # System message length alone (for user message delta slicing) - self.system_len = len( - self.tokenizer.apply_chat_template( - [system_msg], - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.enable_thinking, - ) - ) - - def _initialize_messages(self, messages: list[dict]): - """Initialize conversation with provided messages.""" - if not messages: - return - - initial_tokens = self.tokenizer.apply_chat_template( - messages, - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.enable_thinking, - ) - - if len(initial_tokens) > self.max_seq_len: - self._mark_truncated(TruncationReason.USER_TOO_LONG) - initial_tokens = initial_tokens[: self.max_seq_len] - - self.messages = messages.copy() - self._accumulate(initial_tokens, mask=[False] * len(initial_tokens)) - - def _truncate_to_fit( - self, tokens: list[int], available: int, reason: TruncationReason - ) -> list[int]: - """Truncate tokens to fit available space.""" - if len(tokens) > available: - self._mark_truncated(reason) - return tokens[: max(0, available)] - return tokens - - def _accumulate( - self, tokens: list[int], mask: list[bool], logprobs: list[float] | None = None - ): - """Add tokens to accumulator.""" - self.accumulated_tokens.extend(tokens) - self.response_mask.extend(mask) - self.logprobs.extend(logprobs or [0.0] * len(tokens)) - - def _mark_truncated(self, reason: TruncationReason) -> bool: - """Mark episode as truncated and return False.""" - self.is_truncated = True - self.truncation_reason = reason - return False - - def _check_structure(self): - """Verify basic structural invariants.""" - assert ( - len(self.accumulated_tokens) - == len(self.response_mask) - == len(self.logprobs) - ) - if len(self.accumulated_tokens) > self.max_seq_len: - raise ValueError( - f"Budget overflow: {len(self.accumulated_tokens)} > {self.max_seq_len}" - ) - - # def _check_eos_alignment(self): - # """ - # Verify no tokens after EOS have response_mask=True (the bug we fixed). - - # For each assistant response, the last response_mask=True token must be EOS. - # This ensures we're not training on chat template suffix tokens (like \n after EOS). - # """ - # in_response = False - # last_response_idx = -1 - - # for i, (token, is_response) in enumerate( - # zip(self.accumulated_tokens, self.response_mask) - # ): - # if is_response and not in_response: - # in_response = True - # elif is_response: - # last_response_idx = i - # elif not is_response and in_response: - # # End of response - check last token was EOS - # if ( - # last_response_idx >= 0 - # and self.accumulated_tokens[last_response_idx] != self.eos_token_id - # ): - # raise ValueError( - # f"Response ended at position {last_response_idx} with token " - # f"{self.accumulated_tokens[last_response_idx]}, expected EOS {self.eos_token_id}" - # ) - # in_response = False - # last_response_idx = -1 - - # # Check final response if episode ends mid-response - # if in_response and last_response_idx >= 0: - # if self.accumulated_tokens[last_response_idx] != self.eos_token_id: - # raise ValueError( - # f"Final response ended at position {last_response_idx} with token " - # f"{self.accumulated_tokens[last_response_idx]}, expected EOS {self.eos_token_id}" - # ) diff --git a/debug/token_accumulator_fn_v6.py b/debug/token_accumulator_fn_v6.py deleted file mode 100644 index 1cd4e6f44..000000000 --- a/debug/token_accumulator_fn_v6.py +++ /dev/null @@ -1,636 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Token accumulation for multi-turn RL episodes using vLLM tokens directly. - -See TokenAccumulator class for details. -""" - -import threading -from dataclasses import dataclass -from enum import Enum -from typing import Optional - -import torch - - -class ValidationMode(Enum): - """Validation strictness.""" - - STRICT = "strict" # Raise on failures - WARN = "warn" # Print warnings - OFF = "off" # No validation - - -class TruncationReason(Enum): - """Truncation reason.""" - - USER_TOO_LONG = "user_too_long" - ASSISTANT_TOO_LONG = "assistant_too_long" - TOOL_TOO_LONG = "tool_too_long" - MAX_NUM_TURNS = "max_num_turns" - - -@dataclass -class EpisodeData: - """ - Episode data as tensors, ready for training. - - All tensors have shape (T,) where T is sequence length. - """ - - token_ids: torch.Tensor # dtype=long - response_mask: torch.Tensor # dtype=bool - logprobs: torch.Tensor # dtype=float - is_truncated: bool - truncation_reason: Optional[str] = None - - -class TokenAccumulator: - """ - Accumulate tokens for multi-turn RL episodes using vLLM tokens directly. - - ## Why Delta Tokenization? - - vLLM only returns assistant response tokens. We need the full conversation with - chat template tokens for training. We can't re-tokenize because it's expensive - and error-prone. - - **What we get from vLLM:** - ``` - response_tokens = [791, 19, 374, 220, 2] # ["The", "answer", "is", "4", ""] - ``` - - **What we need for training:** - ``` - [1, 2, 3] # ["You", "are", "helpful"] (not trainable) - [10, 11, 12, 13] # ["What", "is", "2+2", "?"] (not trainable) - [150, 123] # ["<|im_start|>", "assistant"] (not trainable) - [791, 19, 374, 220, 2] # ["The", "answer", "is", "4", eos] (TRAINABLE!) - [151] # ["<|im_end|>"] (not trainable, Qwen only) - ``` - - **Solution:** Use an anchor conversation [system, empty_user] that never changes. - Tokenize new messages against it and extract deltas. For assistant responses, - add generation prompt prefix and any model-specific suffix. - - ## Truncation Behavior - - - **add_user**: If truncated, adds partial message (truncated to fit budget) - - **add_assistant**: If truncated, DROPS entire response (nothing added) - - Once truncated, all subsequent adds will fail (return False) - - ## Usage - - ```python - acc = TokenAccumulator(tok, [{"role": "system", "content": "Help"}], 2048, eos_id=2) - - # Add messages - acc.add_user("What is 2+2?") - prompt = acc.format_prompt() - response = vllm_generate(prompt) - acc.add_assistant(response.text, response.token_ids, response.logprobs) - - # Show what will be trained on - acc.show_messages() - - # Get episode data as tensors - episode = acc.get_data() - # episode.token_ids: torch.Tensor (long) - # episode.response_mask: torch.Tensor (bool, True = trainable) - # episode.logprobs: torch.Tensor (float) - ``` - - Args: - tokenizer: HuggingFace tokenizer with apply_chat_template - messages: Initial messages (must include system message) - max_len: Maximum sequence length - eos_id: End-of-sequence token ID - thinking: Enable tags for Qwen models - validation: Validation mode (STRICT, WARN, OFF) - """ - - def __init__( - self, - tokenizer, - messages: list[dict], - max_len: int, - eos_id: int, - thinking: bool = True, - validation: ValidationMode = ValidationMode.STRICT, - ) -> None: - self._validate_init(tokenizer, messages, max_len, eos_id) - - self.tokenizer = tokenizer - self.max_len = max_len - self.eos_id = eos_id - self.thinking = thinking - self.validation = validation - - # State - self.messages: list[dict] = [] - self._tokens: list[int] = [] - self._mask: list[bool] = [] - self._logprobs: list[float] = [] - self.truncated: bool = False - self.truncation_reason: Optional[TruncationReason] = None - - # Track message boundaries for efficient validation - # Each entry: (end_idx, role, should_end_with_eos) - self._message_ends: list[tuple[int, str, bool]] = [] - - # Thread safety - self._lock = threading.Lock() - - # Setup - self._setup_anchor(messages) - self._init_messages(messages) - - def __repr__(self) -> str: - status = f", truncated" if self.truncated else "" - return f"TokenAccumulator({len(self._tokens)}/{self.max_len}{status})" - - @property - def budget(self) -> int: - """Remaining token budget.""" - return max(0, self.max_len - len(self._tokens) - self.gen_prompt_len) - - def add_user(self, content: str) -> bool: - """ - Add user message. If truncated, adds partial message (truncated to fit). - - Returns: - True if not truncated, False if truncated - """ - if not isinstance(content, str): - raise TypeError(f"content must be str, got {type(content)}") - - msg = {"role": "user", "content": content} - - # Tokenize [system, user] and extract delta - with self._lock: - full = self.tokenizer.apply_chat_template( - [self.anchor[0], msg], - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.thinking, - ) - # Extract user tokens by slicing off system prefix - tokens = full[self.sys_len :] - - if not tokens: - return True - - # Check budget - budget = self.budget - if budget <= 0: - self._mark_truncated(TruncationReason.USER_TOO_LONG) - return False - - # Truncate if needed (still adds partial) - was_truncated = len(tokens) > budget - if was_truncated: - tokens = tokens[:budget] - self._mark_truncated(TruncationReason.USER_TOO_LONG) - - self.messages.append(msg) - self._add_tokens(tokens, trainable=False, role="user", ends_with_eos=False) - - return not was_truncated - - def add_assistant( - self, text: str, token_ids: list[int], logprobs: Optional[list[float]] = None - ) -> bool: - """ - Add assistant response from vLLM. If truncated, DROPS entire response (nothing added). - - Args: - text: Response text (for message log) - token_ids: Token IDs from vLLM (must end with EOS) - logprobs: Log probabilities (optional) - - Returns: - False if truncated/invalid (response dropped), True if added successfully - """ - # Type validation - if not isinstance(text, str): - raise TypeError(f"text must be str, got {type(text)}") - if not isinstance(token_ids, list): - raise TypeError(f"token_ids must be list, got {type(token_ids)}") - - # Must have tokens and end with EOS - if not token_ids: - return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) - if token_ids[-1] != self.eos_id: - return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) - - # Check budget: generation_prompt + response + suffix - total_len = self.gen_prompt_len + len(token_ids) + len(self.suffix) - if total_len > self.budget: - return self._mark_truncated(TruncationReason.ASSISTANT_TOO_LONG) - - # Validate logprobs if provided - if logprobs is not None: - if not isinstance(logprobs, list): - raise TypeError(f"logprobs must be list or None") - if len(logprobs) != len(token_ids): - raise ValueError( - f"logprobs length mismatch: {len(logprobs)} != {len(token_ids)}" - ) - - self.messages.append({"role": "assistant", "content": text}) - - # Generation prompt (not trainable) - self._add_tokens( - self.gen_prompt_tokens, - trainable=False, - logprobs=[0.0] * len(self.gen_prompt_tokens), - role="assistant_prompt", - ends_with_eos=False, - ) - - # Response tokens (trainable) - self._add_tokens( - token_ids, - trainable=True, - logprobs=logprobs, - role="assistant", - ends_with_eos=True, - ) - - # Suffix if needed (not trainable) - if self.suffix: - self._add_tokens( - self.suffix, - trainable=False, - logprobs=[0.0] * len(self.suffix), - role="assistant_suffix", - ends_with_eos=False, - ) - - return True - - def format_prompt(self) -> str: - """Format conversation for vLLM generation.""" - with self._lock: - return self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=True, - tokenize=False, - enable_thinking=self.thinking, - ) - - def get_data(self) -> EpisodeData: - """ - Convert to tensors, validate, and return episode data. - - Returns: - EpisodeData with torch tensors - - Raises: - AssertionError/ValueError: If validation fails in STRICT mode - """ - # Convert to tensors - token_ids = torch.tensor(self._tokens, dtype=torch.long) - response_mask = torch.tensor(self._mask, dtype=torch.bool) - logprobs = torch.tensor(self._logprobs, dtype=torch.float) - - # Validate on tensors - if self.validation != ValidationMode.OFF: - self._validate(token_ids, response_mask, logprobs) - - return EpisodeData( - token_ids=token_ids, - response_mask=response_mask, - logprobs=logprobs, - is_truncated=self.truncated, - truncation_reason=( - self.truncation_reason.value if self.truncation_reason else None - ), - ) - - def show_messages(self, max_chars: int = 5000) -> None: - """ - Show token stream with trainability highlighted. - - Uses colored text runs for readability (similar to tinker-cookbook's format_colorized). - Groups consecutive tokens with same trainability and decodes together for proper - multi-byte character handling. - - Args: - max_chars: Maximum characters to show in decoded output (default: 5000) - """ - print("=" * 80) - print(f"TokenAccumulator: {len(self._tokens)}/{self.max_len} tokens") - trainable_count = sum(self._mask) - trainable_pct = 100 * trainable_count / len(self._tokens) if self._tokens else 0 - print( - f"Trainable: {trainable_count}/{len(self._tokens)} ({trainable_pct:.1f}%)" - ) - print("=" * 80) - - if not self._tokens: - print("(no tokens)") - print("=" * 80) - return - - # Show messages list - print("\nMessages:") - for i, msg in enumerate(self.messages): - role = msg["role"] - content = msg["content"] - preview = content[:100] + "..." if len(content) > 100 else content - print(f" [{i}] {role:10s} {preview!r}") - - # Show colorized token stream - print("\nToken stream:") - self._show_colorized_token_stream(max_chars) - - print("=" * 80) - - def _show_colorized_token_stream(self, max_chars: int) -> None: - """ - Show full token stream with color coding by trainability. - - Groups consecutive tokens with same trainability into "runs" and decodes - them together. This handles multi-byte characters correctly. - """ - chunks = [] - current_ids = [] - current_trainable = None - total_chars = 0 - - def flush_run(): - nonlocal total_chars - if not current_ids: - return - - # Decode entire run at once - with self._lock: - decoded = self.tokenizer.decode(current_ids) - - # Check if we've exceeded max_chars - if total_chars >= max_chars: - return - - # Truncate if needed - if total_chars + len(decoded) > max_chars: - remaining = max_chars - total_chars - decoded = decoded[:remaining] + "..." - - total_chars += len(decoded) - - # Color based on trainability - if current_trainable: - color_code = "\033[92m" # Green for trainable - symbol = "✓" - else: - color_code = "\033[90m" # Gray for not trainable - symbol = "·" - - # Escape special characters for display - decoded_repr = repr(decoded)[1:-1] # Remove outer quotes - chunks.append(f"{color_code}{symbol} {decoded_repr}\033[0m") - - # Group tokens into runs - for i in range(len(self._tokens)): - trainable = self._mask[i] - - # Flush when trainability changes - if trainable != current_trainable and current_ids: - flush_run() - current_ids = [] - - current_ids.append(self._tokens[i]) - current_trainable = trainable - - # Flush final run - flush_run() - - # Print runs - if chunks: - print(" " + " ".join(chunks)) - - if total_chars >= max_chars: - print(f"\n (output truncated at {max_chars} chars)") - - def _show_colorized_tokens(self, start_idx: int, end_idx: int) -> None: - """ - DEPRECATED: Old method, kept for compatibility. - Use _show_colorized_token_stream instead. - """ - pass - - # Internal helpers - def _validate_init( - self, tokenizer, messages: list[dict], max_len: int, eos_id: int - ) -> None: - """Validate initialization parameters.""" - if not hasattr(tokenizer, "apply_chat_template"): - raise ValueError("Tokenizer must have apply_chat_template method") - if not messages: - raise ValueError("Must provide at least a system message") - if not isinstance(messages, list): - raise TypeError(f"messages must be list, got {type(messages)}") - for i, msg in enumerate(messages): - if not isinstance(msg, dict): - raise TypeError(f"Message {i} must be dict") - if "role" not in msg or "content" not in msg: - raise ValueError(f"Message {i} missing 'role' or 'content'") - if not isinstance(max_len, int) or max_len <= 0: - raise ValueError(f"max_len must be positive int, got {max_len}") - if not isinstance(eos_id, int): - raise TypeError(f"eos_id must be int, got {type(eos_id)}") - - def _setup_anchor(self, msgs: list[dict]) -> None: - """ - Setup anchor for delta tokenization and compute suffix. - - The suffix is anything after EOS in the chat template. We create a test - conversation with EOS and extract any tokens that follow it. - """ - sys = ( - msgs[0] - if msgs[0]["role"] == "system" - else {"role": "system", "content": ""} - ) - self.anchor = [sys, {"role": "user", "content": ""}] - - with self._lock: - # Compute generation prompt - without = self.tokenizer.apply_chat_template( - self.anchor, - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.thinking, - ) - with_gen = self.tokenizer.apply_chat_template( - self.anchor, - add_generation_prompt=True, - tokenize=True, - enable_thinking=self.thinking, - ) - self.gen_prompt_tokens = with_gen[len(without) :] - self.gen_prompt_len = len(self.gen_prompt_tokens) - - # Compute system length - sys_tokens = self.tokenizer.apply_chat_template( - [sys], - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.thinking, - ) - self.sys_len = len(sys_tokens) - - # Compute suffix by tokenizing a test conversation - test_conv = [ - sys, - {"role": "user", "content": "test"}, - {"role": "assistant", "content": "response"}, - ] - test_tokens = self.tokenizer.apply_chat_template( - test_conv, - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.thinking, - ) - - # Find last EOS - eos_idx = -1 - for i in range(len(test_tokens) - 1, -1, -1): - if test_tokens[i] == self.eos_id: - eos_idx = i - break - - # Extract suffix (everything after EOS, or empty if nothing) - if eos_idx >= 0 and eos_idx < len(test_tokens) - 1: - self.suffix = test_tokens[eos_idx + 1 :] - else: - self.suffix = [] - - def _init_messages(self, msgs: list[dict]) -> None: - """Initialize with starting messages.""" - if not msgs: - return - - with self._lock: - tokens = self.tokenizer.apply_chat_template( - msgs, - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.thinking, - ) - - if len(tokens) > self.max_len: - self._mark_truncated(TruncationReason.USER_TOO_LONG) - tokens = tokens[: self.max_len] - - self.messages = msgs.copy() - self._add_tokens(tokens, trainable=False, role="initial", ends_with_eos=False) - - def _add_tokens( - self, - tokens: list[int], - trainable: bool, - logprobs: Optional[list[float]] = None, - role: str = "", - ends_with_eos: bool = False, - ) -> None: - """Add tokens to parallel arrays and track message boundary.""" - if not tokens: - return - - self._tokens.extend(tokens) - self._mask.extend([trainable] * len(tokens)) - self._logprobs.extend(logprobs if logprobs else [0.0] * len(tokens)) - - # Track message end for validation - end_idx = len(self._tokens) - 1 - self._message_ends.append((end_idx, role, ends_with_eos)) - - def _mark_truncated(self, reason: TruncationReason) -> bool: - """Mark as truncated.""" - self.truncated = True - self.truncation_reason = reason - return False - - def _validate( - self, - token_ids: torch.Tensor, - response_mask: torch.Tensor, - logprobs: torch.Tensor, - ) -> None: - """ - Run validation checks on tensors. - - Args: - token_ids: Token IDs tensor (shape: T) - response_mask: Response mask tensor (shape: T) - logprobs: Log probabilities tensor (shape: T) - """ - # Check 1: Shapes match - if not (token_ids.shape == response_mask.shape == logprobs.shape): - raise AssertionError( - f"Shape mismatch: token_ids={token_ids.shape}, " - f"mask={response_mask.shape}, logprobs={logprobs.shape}" - ) - - # Check 2: Budget not exceeded - if len(token_ids) > self.max_len: - raise ValueError(f"Budget overflow: {len(token_ids)} > {self.max_len}") - - # Check 3: Message boundaries are correct - for end_idx, role, should_end_with_eos in self._message_ends: - if should_end_with_eos: - # Token at end_idx should be eos_id - if token_ids[end_idx].item() != self.eos_id: - msg = f"{role} at {end_idx} has token {token_ids[end_idx].item()}, expected EOS {self.eos_id}" - if self.validation == ValidationMode.STRICT: - raise ValueError(msg) - print(f"WARNING: {msg}") - - # For assistant: end_idx should be trainable - if role == "assistant" and not response_mask[end_idx].item(): - msg = f"Assistant EOS at {end_idx} is not trainable" - if self.validation == ValidationMode.STRICT: - raise ValueError(msg) - print(f"WARNING: {msg}") - - # Token after EOS should not be trainable - if end_idx + 1 < len(token_ids) and response_mask[end_idx + 1].item(): - msg = ( - f"Token after EOS at {end_idx+1} is trainable (should be False)" - ) - if self.validation == ValidationMode.STRICT: - raise ValueError(msg) - print(f"WARNING: {msg}") - - # Check 4: Prefix consistency (incremental == full tokenization) - # DISABLED: Qwen always adds think tags to LAST assistant message only, - # but in incremental accumulation every assistant response IS the last one - # at the time we add it. This causes mismatches: - # - thinking=True: missing 4 tokens (last gets think tags in full tokenization) - # - thinking=False: extra 4 tokens (first doesn't get think tags in full tokenization) - # This is expected behavior for Qwen and not a bug. - # - # with self._lock: - # full_tokens = self.tokenizer.apply_chat_template( - # self.messages, add_generation_prompt=False, tokenize=True, enable_thinking=self.thinking - # ) - # - # accumulated_len = len(token_ids) - # expected_len = len(full_tokens) - # - # if accumulated_len != expected_len: - # msg = ( - # f"Prefix consistency failed: " - # f"accumulated={accumulated_len} tokens, " - # f"expected={expected_len}" - # ) - # if self.validation == ValidationMode.STRICT: - # raise AssertionError(msg) - # print(f"WARNING: {msg}") diff --git a/debug/token_accumulator_improvement_recommendations.md b/debug/token_accumulator_improvement_recommendations.md deleted file mode 100644 index cece0c855..000000000 --- a/debug/token_accumulator_improvement_recommendations.md +++ /dev/null @@ -1,1107 +0,0 @@ -# TokenAccumulator Improvement Recommendations - -## Executive Summary - -This document synthesizes patterns and best practices from 5 major RL libraries (RL/nemo_rl, tinker-cookbook, verl, verifiers, trl) to improve the `TokenAccumulator` class. The goal is to make it: -- **Cleaner**: Better organized with clear documentation -- **Debuggable**: Visual tools and comprehensive logging -- **Safe**: Validation functions and sanity checks -- **Well-documented**: Concise yet comprehensive docs - ---- - -## Table of Contents - -1. [Current State Analysis](#current-state-analysis) -2. [Documentation Patterns](#documentation-patterns) -3. [Validation & Safety Patterns](#validation--safety-patterns) -4. [Debugging Patterns](#debugging-patterns) -5. [Code Organization Patterns](#code-organization-patterns) -6. [Specific Recommendations](#specific-recommendations) -7. [Implementation Roadmap](#implementation-roadmap) - ---- - -## Current State Analysis - -### What Works Well ✓ - -1. **Clear Design Philosophy**: VERL approach using vLLM tokens directly -2. **Anchor System**: Delta tokenization avoids repeated re-tokenization -3. **Budget Management**: Proper tracking with `get_remaining_budget()` -4. **Truncation Handling**: Explicit `TruncationReason` enum -5. **Thread Safety**: Tokenizer lock for concurrent access -6. **Parallel Arrays**: `accumulated_tokens`, `response_mask`, `logprobs` tracked together - -### Areas for Improvement 🔧 - -1. **Documentation**: Missing docstring examples, shape annotations -2. **Validation**: `_check_structure` is minimal, EOS check commented out -3. **Debugging**: No visual tools, limited introspection -4. **Error Messages**: Lack contextual information (current state, indices) -5. **Testing Helpers**: No built-in debugging utilities -6. **Type Safety**: Missing explicit type hints in some methods - ---- - -## Documentation Patterns - -### Pattern 1: Comprehensive Docstrings with Examples - -**From: tinker-cookbook, TRL** - -#### Current Example: -```python -def add_user_message(self, content: str) -> bool: - """Add user message, truncating to fit budget if necessary. Returns False if truncated.""" -``` - -#### Recommended Enhancement: -```python -def add_user_message(self, content: str) -> bool: - """ - Add a user message to the conversation, truncating if it exceeds budget. - - The message is tokenized using the anchor-based delta tokenization approach: - - Tokenizes [system, new_user_message] to get full tokens - - Extracts delta by removing system prefix - - Truncates to fit remaining budget if necessary - - Args: - content (str): The text content of the user message - - Returns: - bool: True if message was added without truncation, False if truncated - - Example: - >>> acc = TokenAccumulator(tokenizer, messages=[{"role": "system", "content": "You are helpful"}], max_seq_len=100, eos_token_id=2) - >>> success = acc.add_user_message("Hello!") - >>> print(success) # True - >>> print(len(acc.accumulated_tokens)) # e.g., 15 - >>> acc.add_user_message("x" * 10000) # Very long message - >>> print(acc.is_truncated) # True - >>> print(acc.truncation_reason) # TruncationReason.USER_TOO_LONG - - Notes: - - If truncation occurs, `is_truncated` is set to True - - Truncated messages are still added (up to available budget) - - The message is appended to `self.messages` for chat template continuity - """ -``` - -**Key Elements:** -- One-line summary first -- Detailed explanation of the approach -- Args/Returns with types -- Concrete example showing usage -- Notes for edge cases - ---- - -### Pattern 2: Module-Level Documentation - -**From: tinker-cookbook, verifiers** - -#### Recommended Addition (at top of file): -```python -""" -Token accumulation for multi-turn RL rollouts with vLLM. - -This module implements the TokenAccumulator class, which handles the complexities of: -- Multi-turn conversation token concatenation -- Response mask creation for loss computation -- vLLM token integration without re-tokenization (prevents chat template bugs) -- Budget management with truncation tracking - -## Key Design Principles - -### Delta Tokenization -Instead of re-tokenizing the entire conversation after each turn, we use an anchor-based -approach. The anchor ([system, empty_user]) stays constant, allowing us to tokenize new -messages against it and extract only the delta tokens. - -### VERL Approach -We use generation tokens from vLLM directly, avoiding re-tokenization that can introduce -misalignments. The generation prompt (e.g., "<|im_start|>assistant\n") is computed from -the anchor and added separately. - -### Response Masking -- Prefix tokens (system, user, generation prompt): `response_mask=False` -- Assistant content from vLLM: `response_mask=True` -- This ensures we only train on model-generated tokens - -## Notation - -We use shape annotations in comments to clarify tensor dimensions: -- `_T`: Token/sequence dimension (e.g., `tokens_T` = list of length T) -- `_B`: Batch dimension (not used in this class, but relevant for downstream) - -## Usage Example - -```python -# Initialize with system message -acc = TokenAccumulator( - tokenizer=tokenizer, - messages=[{"role": "system", "content": "You are a helpful assistant."}], - max_seq_len=2048, - eos_token_id=tokenizer.eos_token_id, -) - -# Multi-turn conversation -acc.add_user_message("What is 2+2?") -prompt = acc.format_prompt() -response = vllm_generate(prompt, max_tokens=acc.get_remaining_budget()) -acc.add_assistant_response(response.text, response.token_ids, response.logprobs) - -# Finalize and extract data -acc.finalize() -episode = Episode( - token_ids=acc.accumulated_tokens, # Shape: (T,) - response_mask=acc.response_mask, # Shape: (T,), bool - logprobs=acc.logprobs, # Shape: (T,), float - is_truncated=acc.is_truncated, -) -``` - -## See Also -- `/debug/test_token_accumulator_validation.py` - Basic validation tests -- `/debug/test_token_accumulator_v2.py` - Integration tests -""" -``` - ---- - -### Pattern 3: Inline Comments Explaining "Why" - -**From: tinker-cookbook, TRL** - -#### Current: -```python -# Extract only user tokens (remove system prefix) -user_tokens = full[self.system_len :] -``` - -#### Enhanced: -```python -# Extract only user tokens (remove system prefix) -# Why: We tokenized [system, user] to leverage chat template, but we only want -# the delta tokens from the user message. System tokens were already added during -# initialization, so we slice them off using the pre-computed system_len anchor. -user_tokens = full[self.system_len :] # Shape: (user_len,) -``` - ---- - -### Pattern 4: Type Annotations Throughout - -**From: TRL, verl** - -#### Current: -```python -def _accumulate( - self, tokens: list[int], mask: list[bool], logprobs: list[float] | None = None -): -``` - -#### Enhanced: -```python -def _accumulate( - self, - tokens: list[int], - mask: list[bool], - logprobs: list[float] | None = None -) -> None: - """ - Append tokens, masks, and logprobs to internal accumulators. - - All three arrays must maintain the same length after appending (verified in _check_structure). - - Args: - tokens: Token IDs to append (shape: T_new) - mask: Response mask values (True for trainable tokens) (shape: T_new) - logprobs: Log probabilities from model (shape: T_new), or None for 0.0 defaults - """ -``` - ---- - -## Validation & Safety Patterns - -### Pattern 1: Multi-Way Equality Assertions - -**From: tinker-cookbook, verl, verifiers** - -#### Current: -```python -def _check_structure(self): - """Verify basic structural invariants.""" - assert ( - len(self.accumulated_tokens) - == len(self.response_mask) - == len(self.logprobs) - ) -``` - -#### Enhanced: -```python -def _check_structure(self) -> None: - """ - Verify basic structural invariants. - - Raises: - AssertionError: If parallel arrays have mismatched lengths or exceed budget - """ - token_len = len(self.accumulated_tokens) - mask_len = len(self.response_mask) - logprob_len = len(self.logprobs) - - # Multi-way equality with diagnostic info - assert token_len == mask_len == logprob_len, ( - f"Parallel array length mismatch:\n" - f" tokens: {token_len}\n" - f" response_mask: {mask_len}\n" - f" logprobs: {logprob_len}\n" - f"All arrays must have the same length." - ) - - # Budget validation - if token_len > self.max_seq_len: - raise ValueError( - f"Budget overflow: {token_len} tokens > max_seq_len={self.max_seq_len}\n" - f"This indicates a bug in budget tracking." - ) -``` - -**Key Improvements:** -- Store lengths in variables for clarity -- Multi-line error message with actual values -- Explains what went wrong AND what should be true - ---- - -### Pattern 2: Incremental Validation After Updates - -**From: verl, verifiers** - -#### Recommended Addition: -```python -def _accumulate( - self, - tokens: list[int], - mask: list[bool], - logprobs: list[float] | None = None -) -> None: - """Append tokens, masks, and logprobs to internal accumulators.""" - # Validate inputs - if not tokens: - raise ValueError("Cannot accumulate empty token list") - - if len(tokens) != len(mask): - raise ValueError( - f"Token/mask length mismatch: {len(tokens)} tokens vs {len(mask)} mask values" - ) - - if logprobs is not None and len(logprobs) != len(tokens): - raise ValueError( - f"Token/logprob length mismatch: {len(tokens)} tokens vs {len(logprobs)} logprobs" - ) - - # Perform accumulation - self.accumulated_tokens.extend(tokens) - self.response_mask.extend(mask) - self.logprobs.extend(logprobs or [0.0] * len(tokens)) - - # Validate invariants after update (only in strict mode for performance) - if self.sanity_check_mode == SanityCheckMode.STRICT: - self._check_structure() -``` - ---- - -### Pattern 3: Prefix Consistency Validation - -**From: verifiers, verl** - -This is CRITICAL for the anchor-based approach. We should validate that tokenizing incrementally produces the same result as tokenizing from scratch. - -#### Recommended Addition: -```python -def _validate_prefix_consistency(self) -> bool: - """ - Validate that incremental tokenization matches full re-tokenization. - - This catches chat template bugs where adding messages doesn't extend the - token sequence as expected. - - Returns: - bool: True if consistent - - Raises: - AssertionError: If tokenization is inconsistent (in STRICT mode) - """ - if self.sanity_check_mode == SanityCheckMode.DISABLE: - return True - - # Re-tokenize entire conversation from scratch - with self._tokenizer_lock: - full_tokens = self.tokenizer.apply_chat_template( - self.messages, - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.enable_thinking, - ) - - # Check if accumulated tokens match - if len(full_tokens) != len(self.accumulated_tokens): - error_msg = ( - f"Tokenization inconsistency detected!\n" - f" Incremental approach: {len(self.accumulated_tokens)} tokens\n" - f" Full re-tokenization: {len(full_tokens)} tokens\n" - f"This suggests a chat template bug or anchor drift." - ) - if self.sanity_check_mode == SanityCheckMode.STRICT: - raise AssertionError(error_msg) - else: - print(f"WARNING: {error_msg}") - return False - - # Check token-by-token equality - for i, (acc_token, full_token) in enumerate(zip(self.accumulated_tokens, full_tokens)): - if acc_token != full_token: - error_msg = ( - f"Token mismatch at position {i}:\n" - f" Incremental: {acc_token}\n" - f" Full: {full_token}\n" - f" Context: ...{self.accumulated_tokens[max(0,i-3):i+3]}..." - ) - if self.sanity_check_mode == SanityCheckMode.STRICT: - raise AssertionError(error_msg) - else: - print(f"WARNING: {error_msg}") - return False - - return True -``` - -**Usage:** -```python -def finalize(self) -> bool: - """Validate episode. Returns True if valid.""" - self._check_structure() - - if self.sanity_check_mode != SanityCheckMode.DISABLE: - self._validate_prefix_consistency() - # self._check_eos_alignment() # Re-enable after fixing - - return True -``` - ---- - -### Pattern 4: Input Validation with Actionable Errors - -**From: verifiers, TRL** - -#### Current: -```python -def __init__( - self, - tokenizer, - messages: list[dict], - max_seq_len: int, - eos_token_id: int, - ... -): -``` - -#### Enhanced: -```python -def __init__( - self, - tokenizer, - messages: list[dict], - max_seq_len: int, - eos_token_id: int, - enable_thinking: bool = True, - sanity_check_mode: SanityCheckMode = SanityCheckMode.STRICT, -): - """ - Initialize TokenAccumulator for multi-turn conversation. - - Args: - tokenizer: HuggingFace tokenizer with apply_chat_template support - messages: Initial conversation messages (must include system message) - max_seq_len: Maximum sequence length (hard limit) - eos_token_id: End-of-sequence token ID - enable_thinking: Whether to enable tags (for Qwen models) - sanity_check_mode: Validation strictness (STRICT or DISABLE) - - Raises: - ValueError: If tokenizer is missing required attributes - ValueError: If messages is empty or malformed - ValueError: If max_seq_len is invalid - """ - # Validate tokenizer - if not hasattr(tokenizer, 'apply_chat_template'): - raise ValueError( - "Tokenizer must support apply_chat_template. " - "Please use a recent HuggingFace transformers version (>= 4.34)." - ) - - if not hasattr(tokenizer, 'eos_token_id') and eos_token_id is None: - raise ValueError( - "Either tokenizer.eos_token_id must be set or eos_token_id must be provided." - ) - - # Validate messages - if not messages: - raise ValueError("Must provide at least a system message in messages list.") - - for i, msg in enumerate(messages): - if 'role' not in msg or 'content' not in msg: - raise ValueError( - f"Message at index {i} is malformed. " - f"Expected dict with 'role' and 'content', got: {msg.keys()}" - ) - - # Validate max_seq_len - if max_seq_len <= 0: - raise ValueError(f"max_seq_len must be positive, got {max_seq_len}") - - if max_seq_len > 100000: - print(f"WARNING: max_seq_len={max_seq_len} is very large. Are you sure?") - - # Initialize - self.tokenizer = tokenizer - self.max_seq_len = max_seq_len - self.eos_token_id = eos_token_id - self.enable_thinking = enable_thinking - self.sanity_check_mode = sanity_check_mode - - # ... rest of init -``` - ---- - -## Debugging Patterns - -### Pattern 1: Visual Debug Printing - -**From: RL/nemo_rl, TRL** - -#### Recommended Addition: -```python -def debug_print(self, show_tokens: bool = False, max_turns: int = 5) -> None: - """ - Print current accumulator state for debugging. - - Args: - show_tokens: If True, show actual token IDs (can be verbose) - max_turns: Maximum number of turns to display (prevents spam) - """ - print("=" * 80) - print(f"TokenAccumulator State") - print("=" * 80) - print(f"Total tokens: {len(self.accumulated_tokens)} / {self.max_seq_len}") - print(f"Remaining budget: {self.get_remaining_budget()}") - print(f"Is truncated: {self.is_truncated}") - if self.is_truncated: - print(f"Truncation reason: {self.truncation_reason.value}") - print(f"Num messages: {len(self.messages)}") - print() - - # Print messages - print("Messages:") - print("-" * 80) - for i, msg in enumerate(self.messages[:max_turns]): - role = msg['role'] - content = msg['content'] - # Truncate long content - if len(content) > 100: - content = content[:97] + "..." - print(f" [{i}] {role:10s}: {content}") - - if len(self.messages) > max_turns: - print(f" ... and {len(self.messages) - max_turns} more messages") - print() - - # Print mask statistics - num_trainable = sum(self.response_mask) - num_total = len(self.response_mask) - pct_trainable = 100 * num_trainable / num_total if num_total > 0 else 0 - print(f"Response mask: {num_trainable}/{num_total} trainable ({pct_trainable:.1f}%)") - - # Optionally show tokens - if show_tokens: - print() - print("Accumulated tokens (first 50):") - print(self.accumulated_tokens[:50]) - print() - print("Response mask (first 50):") - print(self.response_mask[:50]) - - print("=" * 80) -``` - -**Usage:** -```python -acc = TokenAccumulator(...) -acc.add_user_message("Hello") -acc.debug_print() # Quick sanity check during development -``` - ---- - -### Pattern 2: Colorized Token Visualization - -**From: tinker-cookbook** - -#### Recommended Addition (Optional, but very helpful): -```python -def visualize_tokens( - self, - max_tokens: int = 200, - use_color: bool = True -) -> str: - """ - Create a colorized visualization of tokens with mask overlay. - - Color scheme: - - Green (or ✓): response_mask=True (trainable) - - Gray (or ·): response_mask=False (not trainable) - - Args: - max_tokens: Maximum tokens to display - use_color: Whether to use ANSI color codes - - Returns: - str: Formatted visualization - """ - if not self.accumulated_tokens: - return "[Empty accumulator]" - - # Decode tokens to text - with self._tokenizer_lock: - decoded_tokens = [ - self.tokenizer.decode([token_id]) - for token_id in self.accumulated_tokens[:max_tokens] - ] - - lines = [] - lines.append("Token Visualization:") - lines.append("-" * 80) - - for i, (token_text, is_response) in enumerate( - zip(decoded_tokens, self.response_mask[:max_tokens]) - ): - # Escape special characters - token_text = repr(token_text)[1:-1] # Remove outer quotes - - if use_color: - # ANSI color codes - if is_response: - color = "\033[92m" # Green - reset = "\033[0m" - marker = "✓" - else: - color = "\033[90m" # Gray - reset = "\033[0m" - marker = "·" - - lines.append(f"{i:4d} {marker} {color}{token_text}{reset}") - else: - marker = "✓" if is_response else "·" - lines.append(f"{i:4d} {marker} {token_text}") - - if len(self.accumulated_tokens) > max_tokens: - lines.append(f"... and {len(self.accumulated_tokens) - max_tokens} more tokens") - - return "\n".join(lines) -``` - -**Usage:** -```python -acc = TokenAccumulator(...) -# ... add messages ... -print(acc.visualize_tokens()) -``` - ---- - -### Pattern 3: Turn Boundary Tracking - -**From: verifiers** - -This helps debug where each message starts/ends in the token sequence. - -#### Recommended Addition: -```python -class TokenAccumulator: - def __init__(self, ...): - # ... existing fields ... - self.turn_boundaries = [] # List of (start_idx, end_idx, role, content_preview) - - def _accumulate( - self, - tokens: list[int], - mask: list[bool], - logprobs: list[float] | None = None, - turn_info: dict | None = None # NEW: optional turn metadata - ) -> None: - """Append tokens, masks, and logprobs to internal accumulators.""" - start_idx = len(self.accumulated_tokens) - - self.accumulated_tokens.extend(tokens) - self.response_mask.extend(mask) - self.logprobs.extend(logprobs or [0.0] * len(tokens)) - - end_idx = len(self.accumulated_tokens) - - # Track turn boundary - if turn_info: - self.turn_boundaries.append({ - "start_idx": start_idx, - "end_idx": end_idx, - "role": turn_info.get("role", "unknown"), - "content_preview": turn_info.get("content", "")[:50], - }) - - def print_turn_boundaries(self) -> None: - """Print turn boundaries for debugging.""" - print("Turn Boundaries:") - print("-" * 80) - for i, turn in enumerate(self.turn_boundaries): - start = turn["start_idx"] - end = turn["end_idx"] - role = turn["role"] - preview = turn["content_preview"] - length = end - start - print(f" [{i}] {role:10s} [{start:4d}:{end:4d}] ({length:3d} tokens) {preview}") - print("-" * 80) -``` - -**Update methods to use it:** -```python -def add_user_message(self, content: str) -> bool: - # ... existing logic ... - if user_tokens: - self.messages.append(message) - self._accumulate( - user_tokens, - mask=[False] * len(user_tokens), - turn_info={"role": "user", "content": content} # NEW - ) - return len(user_tokens) == original_len -``` - ---- - -### Pattern 4: Structured Logging - -**From: tinker-cookbook, verifiers** - -#### Recommended Addition: -```python -def get_debug_summary(self) -> dict: - """ - Get structured debug information (useful for logging systems like wandb). - - Returns: - dict: Summary statistics - """ - num_trainable = sum(self.response_mask) - num_total = len(self.accumulated_tokens) - - # Count message types - role_counts = {} - for msg in self.messages: - role = msg["role"] - role_counts[role] = role_counts.get(role, 0) + 1 - - # Logprob statistics (for trainable tokens only) - trainable_logprobs = [ - lp for lp, mask in zip(self.logprobs, self.response_mask) if mask - ] - - return { - "num_tokens": num_total, - "num_trainable_tokens": num_trainable, - "pct_trainable": 100 * num_trainable / num_total if num_total > 0 else 0, - "num_messages": len(self.messages), - "role_counts": role_counts, - "is_truncated": self.is_truncated, - "truncation_reason": self.truncation_reason.value if self.is_truncated else None, - "budget_used": num_total, - "budget_remaining": self.get_remaining_budget(), - "avg_logprob": sum(trainable_logprobs) / len(trainable_logprobs) if trainable_logprobs else 0.0, - "min_logprob": min(trainable_logprobs) if trainable_logprobs else 0.0, - "max_logprob": max(trainable_logprobs) if trainable_logprobs else 0.0, - } -``` - -**Usage:** -```python -# In training loop -acc = TokenAccumulator(...) -# ... build episode ... -summary = acc.get_debug_summary() -wandb.log({"episode": summary}) -``` - ---- - -## Code Organization Patterns - -### Pattern 1: Helper Functions for Complex Operations - -**From: tinker-cookbook, verifiers** - -Some operations in TokenAccumulator could be extracted into pure functions: - -```python -def _compute_generation_prompt_tokens( - tokenizer, - anchor: list[dict], - enable_thinking: bool -) -> tuple[list[int], int]: - """ - Compute generation prompt tokens from anchor conversation. - - The generation prompt (e.g., "<|im_start|>assistant\n") is the delta between - tokenizing with and without add_generation_prompt=True. - - Args: - tokenizer: HuggingFace tokenizer - anchor: Anchor messages ([system, empty_user]) - enable_thinking: Whether to enable tags - - Returns: - tuple: (generation_prompt_tokens, generation_prompt_len) - """ - anchor_without = tokenizer.apply_chat_template( - anchor, - add_generation_prompt=False, - tokenize=True, - enable_thinking=enable_thinking, - ) - anchor_with = tokenizer.apply_chat_template( - anchor, - add_generation_prompt=True, - tokenize=True, - enable_thinking=enable_thinking, - ) - - generation_prompt_tokens = anchor_with[len(anchor_without):] - generation_prompt_len = len(generation_prompt_tokens) - - return generation_prompt_tokens, generation_prompt_len - - -def _compute_system_len( - tokenizer, - system_msg: dict, - enable_thinking: bool -) -> int: - """ - Compute number of tokens in system message alone. - - Used for slicing user message delta tokens. - """ - return len( - tokenizer.apply_chat_template( - [system_msg], - add_generation_prompt=False, - tokenize=True, - enable_thinking=enable_thinking, - ) - ) -``` - -**Benefits:** -- Easier to test in isolation -- Can be unit tested without full TokenAccumulator setup -- Clearer purpose and reusability - ---- - -### Pattern 2: Separate Validation Class - -**From: verl, TRL** - -For complex validation, consider a separate validator: - -```python -class TokenAccumulatorValidator: - """Validation utilities for TokenAccumulator.""" - - @staticmethod - def check_parallel_arrays( - accumulated_tokens: list[int], - response_mask: list[bool], - logprobs: list[float], - ) -> None: - """Check that parallel arrays have matching lengths.""" - lengths = { - "tokens": len(accumulated_tokens), - "response_mask": len(response_mask), - "logprobs": len(logprobs), - } - - if len(set(lengths.values())) != 1: - raise ValueError( - f"Parallel array length mismatch:\n" + - "\n".join(f" {k}: {v}" for k, v in lengths.items()) - ) - - @staticmethod - def check_eos_alignment( - accumulated_tokens: list[int], - response_mask: list[bool], - eos_token_id: int - ) -> None: - """Verify each response segment ends with EOS.""" - in_response = False - last_response_idx = -1 - - for i, (token, is_response) in enumerate(zip(accumulated_tokens, response_mask)): - if is_response and not in_response: - in_response = True - elif is_response: - last_response_idx = i - elif not is_response and in_response: - # End of response - check last token was EOS - if last_response_idx >= 0 and accumulated_tokens[last_response_idx] != eos_token_id: - raise ValueError( - f"Response ended at position {last_response_idx} with token " - f"{accumulated_tokens[last_response_idx]}, expected EOS {eos_token_id}" - ) - in_response = False - last_response_idx = -1 - - # Check final response - if in_response and last_response_idx >= 0: - if accumulated_tokens[last_response_idx] != eos_token_id: - raise ValueError( - f"Final response ended at position {last_response_idx} with token " - f"{accumulated_tokens[last_response_idx]}, expected EOS {eos_token_id}" - ) - - -# Usage in TokenAccumulator: -def finalize(self) -> bool: - """Validate episode. Returns True if valid.""" - if self.sanity_check_mode == SanityCheckMode.DISABLE: - return True - - TokenAccumulatorValidator.check_parallel_arrays( - self.accumulated_tokens, - self.response_mask, - self.logprobs, - ) - - TokenAccumulatorValidator.check_eos_alignment( - self.accumulated_tokens, - self.response_mask, - self.eos_token_id, - ) - - return True -``` - ---- - -## Specific Recommendations - -### Priority 1: Critical for Correctness ⚠️ - -1. **Re-enable EOS alignment check** (currently commented out) - - This caught real bugs in your investigation - - Make it work properly or replace with equivalent validation - -2. **Add prefix consistency validation** - - Verify incremental tokenization matches full re-tokenization - - Critical for anchor-based approach - -3. **Enhance error messages with context** - - Include actual values, indices, and state - - Make debugging faster - -### Priority 2: Improve Debuggability 🔍 - -4. **Add `debug_print()` method** - - Quick visual inspection during development - - Include token counts, mask stats, truncation info - -5. **Add `visualize_tokens()` method** - - Colorized token-level view - - Helps spot mask alignment issues - -6. **Track turn boundaries** - - Record where each message starts/ends - - Easier to debug token alignment - -7. **Add `get_debug_summary()` for structured logging** - - Integration with wandb/tensorboard - - Track statistics over training - -### Priority 3: Documentation 📚 - -8. **Add module-level docstring** - - Explain design principles (delta tokenization, VERL approach) - - Include usage example - -9. **Enhance method docstrings** - - Add concrete examples - - Document edge cases and return values - -10. **Add inline comments explaining "why"** - - Especially for non-obvious operations - - Shape annotations in comments - -### Priority 4: Nice to Have ✨ - -11. **Extract helper functions** - - `_compute_generation_prompt_tokens()` - - `_compute_system_len()` - - Easier to test and reuse - -12. **Add type hints everywhere** - - Especially return types - - Consider using mypy for static checking - -13. **Create TokenAccumulatorValidator class** - - Separate validation logic - - Easier to extend and test - ---- - -## Implementation Roadmap - -### Phase 1: Critical Fixes (1-2 hours) -- [ ] Fix EOS alignment check or replace with equivalent -- [ ] Add prefix consistency validation -- [ ] Enhance all error messages with context - -### Phase 2: Debugging Tools (2-3 hours) -- [ ] Implement `debug_print()` -- [ ] Implement `get_debug_summary()` -- [ ] Add turn boundary tracking -- [ ] Implement `visualize_tokens()` (optional but helpful) - -### Phase 3: Documentation (1-2 hours) -- [ ] Add module-level docstring with design explanation -- [ ] Enhance all method docstrings with examples -- [ ] Add inline "why" comments for complex sections -- [ ] Add shape annotations - -### Phase 4: Refactoring (2-3 hours) -- [ ] Extract helper functions -- [ ] Add comprehensive type hints -- [ ] Create TokenAccumulatorValidator class (optional) -- [ ] Add performance optimizations if needed - -**Total Estimated Time: 6-10 hours** - ---- - -## Example: Before vs After - -### Before: -```python -def add_user_message(self, content: str) -> bool: - """Add user message, truncating to fit budget if necessary. Returns False if truncated.""" - message = {"role": "user", "content": content} - with self._tokenizer_lock: - full = self.tokenizer.apply_chat_template(...) - user_tokens = full[self.system_len :] - budget = self.get_remaining_budget() - original_len = len(user_tokens) - user_tokens = self._truncate_to_fit(user_tokens, budget, TruncationReason.USER_TOO_LONG) - if user_tokens: - self.messages.append(message) - self._accumulate(user_tokens, mask=[False] * len(user_tokens)) - return len(user_tokens) == original_len -``` - -### After: -```python -def add_user_message(self, content: str) -> bool: - """ - Add a user message to the conversation, truncating if necessary. - - Uses delta tokenization: tokenizes [system, new_user_message] and extracts - only the user message tokens by slicing off the pre-computed system prefix. - - Args: - content: User message text - - Returns: - bool: True if added without truncation, False if truncated - - Example: - >>> acc.add_user_message("Hello!") - True - >>> acc.add_user_message("x" * 10000) # Too long - False - >>> acc.is_truncated - True - """ - message = {"role": "user", "content": content} - - # Tokenize [system, user] to leverage chat template - with self._tokenizer_lock: - full = self.tokenizer.apply_chat_template( - [self.anchor[0], message], - add_generation_prompt=False, - tokenize=True, - enable_thinking=self.enable_thinking, - ) - - # Extract delta: remove system prefix to get only user tokens - # Why: System was already added during initialization, we only want new tokens - user_tokens = full[self.system_len :] # Shape: (user_len,) - - # Check budget and truncate if needed - budget = self.get_remaining_budget() - original_len = len(user_tokens) - - if len(user_tokens) > budget: - user_tokens = self._truncate_to_fit( - user_tokens, budget, TruncationReason.USER_TOO_LONG - ) - - # Add to accumulator (user tokens are not trainable) - if user_tokens: - self.messages.append(message) - self._accumulate( - user_tokens, - mask=[False] * len(user_tokens), # User tokens: response_mask=False - turn_info={"role": "user", "content": content} # For debugging - ) - - return len(user_tokens) == original_len -``` - -**Key Improvements:** -- ✓ Comprehensive docstring with example -- ✓ Inline comments explaining "why" -- ✓ Shape annotations -- ✓ Turn tracking for debugging -- ✓ More descriptive variable usage - ---- - -## Conclusion - -The TokenAccumulator class has a solid foundation with the anchor-based delta tokenization approach. The main improvements needed are: - -1. **Better validation** to catch bugs early (prefix consistency, EOS alignment) -2. **Debugging tools** to make development faster (debug_print, visualize_tokens) -3. **Documentation** to help users understand the design (docstrings, examples, inline comments) - -These improvements will make the class: -- **Safer**: Catch bugs before they cause silent failures -- **Easier to debug**: Visual tools and structured logging -- **Easier to understand**: Clear docs with examples and explanations - -The patterns from these 5 libraries show consistent best practices across the RL community. Implementing these recommendations will bring TokenAccumulator up to production quality standards. diff --git a/debug/trl_mask_diagram.txt b/debug/trl_mask_diagram.txt deleted file mode 100644 index ef913946e..000000000 --- a/debug/trl_mask_diagram.txt +++ /dev/null @@ -1,133 +0,0 @@ -================================================================================ -TRL Training Mask Architecture: Visual Overview -================================================================================ - -┌─────────────────────────────────────────────────────────────────────────────┐ -│ RAW SEQUENCE EXAMPLE │ -│ │ -│ Prompt: "What is 2+2?" Response: " 4" (generated) │ -│ [2, 264, 318, 399, 16] [449, 20] │ -│ │ -│ After Tokenization & Padding: │ -│ ┌────────────────────────────────────────────────────────────────────────┐│ -│ │ [2, 264, 318, 399, 16, 449, 20, 0, 0, 0] ││ -│ │ └─ Prompt ─┘ └ Response ┘ └─ Padding ─┘ ││ -│ │ length=5 length=2 length=3 ││ -│ └────────────────────────────────────────────────────────────────────────┘│ -└─────────────────────────────────────────────────────────────────────────────┘ - -┌─────────────────────────────────────────────────────────────────────────────┐ -│ MASK CREATION IN TRL │ -│ │ -│ Step 1: Create masks from list of ids │ -│ ┌────────────────────────────────────────────────────────────────────────┐│ -│ │ completion_ids = [449, 20] ││ -│ │ completion_mask = torch.ones_like(completion_ids) = [1, 1] ││ -│ │ ││ -│ │ After padding (right-padding for responses): ││ -│ │ completion_ids = [449, 20, 0, 0, 0] ││ -│ │ completion_mask = [1, 1, 0, 0, 0] ← masks padding ││ -│ └────────────────────────────────────────────────────────────────────────┘│ -│ │ -│ Step 2: Create attention mask for forward pass │ -│ ┌────────────────────────────────────────────────────────────────────────┐│ -│ │ prompt_mask = [1, 1, 1, 1, 1, 0, 0, 0] (left-padded, but no pad) ││ -│ │ completion_mask = [1, 1, 0, 0, 0] ││ -│ │ attention_mask = [1, 1, 1, 1, 1, 1, 1, 0, 0, 0] (concatenated) ││ -│ └────────────────────────────────────────────────────────────────────────┘│ -│ │ -│ Step 3: Optional - mask truncated completions │ -│ ┌────────────────────────────────────────────────────────────────────────┐│ -│ │ if mask_truncated_completions: ││ -│ │ is_truncated = [False] (response ended with EOS naturally) ││ -│ │ completion_mask = completion_mask * (~is_truncated) = [1, 1, 0, 0] ││ -│ │ ││ -│ │ After this, ALL tokens in completion_mask are 1 (not truncated) ││ -│ └────────────────────────────────────────────────────────────────────────┘│ -│ │ -│ Step 4: Optional - entropy-based masking │ -│ ┌────────────────────────────────────────────────────────────────────────┐│ -│ │ if top_entropy_quantile < 1.0: ││ -│ │ entropies = [2.3, 1.1, nan, nan, nan] (per token, with padding nan)││ -│ │ entropy_threshold = 75th percentile = 1.8 ││ -│ │ entropy_mask = (entropies >= 1.8) & completion_mask ││ -│ │ entropy_mask = [True, False, False, False, False] ││ -│ │ ││ -│ │ Only top-entropy tokens contribute to loss ││ -│ └────────────────────────────────────────────────────────────────────────┘│ -└─────────────────────────────────────────────────────────────────────────────┘ - -┌─────────────────────────────────────────────────────────────────────────────┐ -│ LOSS COMPUTATION WITH MASKS │ -│ │ -│ GRPO Loss Formula: │ -│ ┌────────────────────────────────────────────────────────────────────────┐│ -│ │ per_token_logps: [-2.1, -1.8, nan, nan, nan] ││ -│ │ per_token_loss: [0.5, 0.3, 0, 0, 0] (before masking) ││ -│ │ completion_mask: [1, 1, 0, 0, 0] ││ -│ │ ││ -│ │ masked_loss = per_token_loss * completion_mask ││ -│ │ = [0.5, 0.3, 0, 0, 0] ││ -│ │ ││ -│ │ sum(masked_loss) / sum(completion_mask) ││ -│ │ = 0.8 / 2 = 0.4 ← Only response tokens contribute ││ -│ └────────────────────────────────────────────────────────────────────────┘│ -│ │ -│ Different Loss Types (all use completion_mask): │ -│ ┌────────────────────────────────────────────────────────────────────────┐│ -│ │ loss_type='grpo': ││ -│ │ loss = mean([sum(loss_i * mask_i) / sum(mask_i) for each seq i]) ││ -│ │ ││ -│ │ loss_type='dapo': ││ -│ │ loss = sum(all_loss * all_mask) / total_active_tokens_globally ││ -│ │ ││ -│ │ loss_type='dr_grpo': ││ -│ │ loss = sum(all_loss * all_mask) / (batch_size * max_len) ││ -│ │ (eliminates length bias) ││ -│ └────────────────────────────────────────────────────────────────────────┘│ -└─────────────────────────────────────────────────────────────────────────────┘ - -┌─────────────────────────────────────────────────────────────────────────────┐ -│ TRAINABLE vs NON-TRAINABLE POSITIONS │ -│ │ -│ The distinction is simple: │ -│ ┌────────────────────────────────────────────────────────────────────────┐│ -│ │ Prompt tokens: NOT trainable (indices 0-4) ││ -│ │ Response tokens: ALL trainable (indices 5-6) ││ -│ │ Padding tokens: NOT trainable (indices 7-9) ││ -│ │ ││ -│ │ completion_mask marks response tokens: [1, 1, 0, 0, 0] ││ -│ │ Every 1 in the completion_mask is trainable ││ -│ │ Every 0 is effectively frozen (loss * 0 = 0) ││ -│ │ ││ -│ │ → Response tokens === Trainable positions ││ -│ │ → Padding tokens === Non-trainable positions ││ -│ │ → Prompt tokens === Not in completion_mask (separate training) ││ -│ └────────────────────────────────────────────────────────────────────────┘│ -└─────────────────────────────────────────────────────────────────────────────┘ - -┌─────────────────────────────────────────────────────────────────────────────┐ -│ DATA STRUCTURE: EPISODE/TRAJECTORY in GRPO │ -│ │ -│ output_dict = { │ -│ # Core tensors with masks │ -│ 'prompt_ids': (B, P), # Batch, Prompt length │ -│ 'prompt_mask': (B, P), # 1 for valid, 0 for padding │ -│ 'completion_ids': (B, C), # Batch, Completion length │ -│ 'completion_mask': (B, C), # 1 for valid, 0 for padding │ -│ # │ -│ # Advantage signal for policy gradient │ -│ 'advantages': (B,), # Normalized advantage per seq │ -│ 'num_items_in_batch': int, # Total valid tokens for norm │ -│ # │ -│ # Optional: Log probabilities for KL and importance sampling │ -│ 'old_per_token_logps': (B, P+C), # For importance sampling │ -│ 'ref_per_token_logps': (B, P+C), # For KL divergence │ -│ 'importance_sampling_ratio': (B, C), # vLLM correction factor │ -│ } │ -│ │ -│ Note: Missing keys = not needed for this training config │ -│ All tensors moved to device at creation time │ -└─────────────────────────────────────────────────────────────────────────────┘ - -================================================================================ diff --git a/debug/trl_masking_research.md b/debug/trl_masking_research.md deleted file mode 100644 index ae963d463..000000000 --- a/debug/trl_masking_research.md +++ /dev/null @@ -1,467 +0,0 @@ -# TRL Multi-Turn Conversation Masking Research - -## Executive Summary - -TRL (Transformers Reinforcement Learning) library handles multi-turn conversation masking in the following key ways: - -1. **EOS Token Masking**: Automatically masks tokens AFTER the first EOS token in completions -2. **Assistant-Only Masking**: Uses `assistant_masks` from tokenizer's chat template for multi-turn conversations -3. **Completion Masking**: Uses `completion_mask` to distinguish prompt from completion in prompt-completion datasets -4. **No Suffix Length Checking**: Does NOT explicitly check or strip tokens after EOS beyond basic masking -5. **Chat Template Integration**: Relies on tokenizer's `apply_chat_template` with `return_assistant_tokens_mask=True` - ---- - -## 1. Completion Mask Creation for Multi-Turn Conversations - -### GRPO Trainer (grpo_trainer.py) - -**File**: `/home/felipemello/forge/trl/trl/trainer/grpo_trainer.py` - -#### Initial Completion Mask Creation (Lines 1470-1473) -```python -# After generation, create initial mask based on actual completion lengths -completion_ids = [torch.tensor(ids, device=device) for ids in completion_ids_list] -completion_mask = [torch.ones_like(ids, dtype=torch.long) for ids in completion_ids] -completion_ids = pad(completion_ids, padding_value=self.pad_token_id, padding_side="right") -completion_mask = pad(completion_mask, padding_value=0, padding_side="right") -``` - -**Key Points**: -- Creates a mask with 1s for all actual completion tokens -- Pads with 0s for padding tokens -- Does NOT differentiate between assistant/user tokens at this stage - -#### Truncated Completion Masking (Lines 1480-1484) -```python -# If mask_truncated_completions is enabled, zero out truncated completions in completion_mask -if self.mask_truncated_completions: - eos_and_pad = [self.eos_token_id, self.pad_token_id] - is_truncated = torch.tensor([ids[-1] not in eos_and_pad for ids in completion_ids_list], device=device) - completion_mask = completion_mask * (~is_truncated).unsqueeze(1).int() -``` - -**Key Points**: -- Optional masking of entire truncated completions -- Checks if last token is EOS or PAD -- If not, masks the ENTIRE completion (sets all to 0) -- This is sequence-level masking, not token-level - ---- - -## 2. How TRL Handles Tokens AFTER EOS in Completions - -### EOS Token Masking During Generation (Lines 1383-1390) - -**File**: `/home/felipemello/forge/trl/trl/trainer/grpo_trainer.py` - -```python -# Mask everything after the first EOS token -is_eos = completion_ids == self.eos_token_id -eos_idx = torch.full((is_eos.size(0),), is_eos.size(1), dtype=torch.long, device=device) -eos_idx[is_eos.any(dim=1)] = is_eos.int().argmax(dim=1)[is_eos.any(dim=1)] -sequence_indices = torch.arange(is_eos.size(1), device=device).expand(is_eos.size(0), -1) -completion_mask = (sequence_indices <= eos_idx.unsqueeze(1)).int() -prompt_ids = [p[m].tolist() for p, m in zip(prompt_ids, prompt_mask.bool(), strict=True)] -completion_ids = [c[m].tolist() for c, m in zip(completion_ids, completion_mask.bool(), strict=True)] -``` - -**Key Points**: -- Finds FIRST EOS token using `argmax` -- Creates mask that includes tokens up to and including the first EOS -- Tokens AFTER first EOS are excluded from completion_ids entirely -- This happens during generation with transformers (non-vLLM path) - -**Behavior**: Tokens after the first EOS are **stripped out** of the completion_ids list, not just masked. - -### RLOO Trainer - Same Pattern - -**File**: `/home/felipemello/forge/trl/trl/trainer/rloo_trainer.py` (Lines 1176-1183) - -```python -# Mask everything after the first EOS token -is_eos = completion_ids == self.eos_token_id -eos_idx = torch.full((is_eos.size(0),), is_eos.size(1), dtype=torch.long, device=device) -eos_idx[is_eos.any(dim=1)] = is_eos.int().argmax(dim=1)[is_eos.any(dim=1)] -sequence_indices = torch.arange(is_eos.size(1), device=device).expand(is_eos.size(0), -1) -completion_mask = (sequence_indices <= eos_idx.unsqueeze(1)).int() -prompt_ids = [p[m].tolist() for p, m in zip(prompt_ids, prompt_mask.bool(), strict=True)] -completion_ids = [c[m].tolist() for c, m in zip(completion_ids, completion_mask.bool(), strict=True)] -``` - -**Identical behavior to GRPO.** - ---- - -## 3. Suffix Length Checking After EOS - -### Answer: NO explicit suffix length checking - -TRL does NOT check or validate suffix length after EOS. Instead: - -1. **During generation (transformers path)**: Tokens after first EOS are stripped (see above) -2. **For vLLM/rollout_func paths**: vLLM handles this internally -3. **For truncation detection**: Only checks if last token is EOS/PAD (Lines 1421-1424) - -```python -# Identify sequences that terminated with EOS and log their lengths -eos_and_pad = [self.eos_token_id, self.pad_token_id] -is_truncated = torch.tensor([ids[-1] not in eos_and_pad for ids in completion_ids], device=device) -agg_is_truncated = self.accelerator.gather(is_truncated) -``` - -**Key Points**: -- No validation of "how many tokens after EOS" -- No error/warning if there are extra tokens after EOS -- Relies on masking to exclude them from loss computation - ---- - -## 4. Chat Template Handling for Multi-Turn Conversations - -### SFT Trainer - Assistant Masks - -**File**: `/home/felipemello/forge/trl/trl/trainer/sft_trainer.py` - -#### Tokenization with Assistant Masking (Lines 969-985) - -```python -prompt_completion_processed = processing_class.apply_chat_template( - prompt + completion, - return_dict=True, - tokenize=True, - return_assistant_tokens_mask=assistant_only_loss, - tools=example.get("tools"), - **example.get("chat_template_kwargs", {}), -) -# Fix transformers inconsistency: for VLMs, apply_chat_template returns lists of lists -# even for single examples, while for LLMs it returns lists of ints. -prompt_completion_processed = { - k: v[0] if isinstance(v[0], list) else v - for k, v in prompt_completion_processed.items() -} -prompt_completion_ids = prompt_completion_processed["input_ids"] -if "assistant_masks" in prompt_completion_processed: - output["assistant_masks"] = prompt_completion_processed["assistant_masks"] -``` - -#### For Language Modeling (Lines 1011-1022) - -```python -processed = processing_class.apply_chat_template( - messages, - return_dict=True, - tokenize=True, - return_assistant_tokens_mask=assistant_only_loss, - tools=example.get("tools"), - **example.get("chat_template_kwargs", {}), -) -# Fix transformers inconsistency: for VLMs, apply_chat_template returns lists of lists -# even for single examples, while for LLMs it returns lists of ints. -processed = {k: v[0] if isinstance(v[0], list) else v for k, v in processed.items()} -output = {k: processed[k] for k in ("input_ids", "assistant_masks") if k in processed} -``` - -**Key Points**: -- Uses `return_assistant_tokens_mask=True` when `assistant_only_loss=True` -- The tokenizer's chat template must support this feature -- Requires `{% generation %}` keyword in the chat template - -#### Assistant Mask Validation (Lines 1026-1032) - -```python -if "assistant_masks" in output and 1 not in output["assistant_masks"]: - raise RuntimeError( - "You're using `assistant_only_loss=True`, but at least one example has no assistant " - "tokens. This usually means the tokenizer's chat template doesn't generate assistant " - "masks — it may be missing the `{% generation %}` keyword. Please check the template and " - "ensure it's correctly configured to support assistant masking." - ) -``` - -### Data Collator - Applying Assistant Masks - -**File**: `/home/felipemello/forge/trl/trl/trainer/sft_trainer.py` (Lines 177-222) - -```python -if "assistant_masks" in examples[0]: - assistant_masks = [torch.tensor(example["assistant_masks"]) for example in examples] - -# ... (padding logic) ... - -if "assistant_masks" in examples[0]: - assistant_masks = pad( - assistant_masks, padding_value=0, padding_side="right", pad_to_multiple_of=self.pad_to_multiple_of - ) - output["labels"][assistant_masks == 0] = -100 -``` - -**Key Points**: -- `assistant_masks` are binary: 1 for assistant tokens, 0 for everything else -- Setting `labels[assistant_masks == 0] = -100` excludes non-assistant tokens from loss -- This handles multi-turn: only assistant responses contribute to loss - -### Chat Template Integration - -TRL relies on Transformers' tokenizer `apply_chat_template` method: - -1. **Input**: List of messages with roles (`user`, `assistant`, `system`) -2. **Output**: - - `input_ids`: Tokenized conversation - - `assistant_masks` (optional): Binary mask for assistant tokens -3. **Template Requirement**: Chat template must include `{% generation %}` tags - ---- - -## 5. Complete Masking Flow for Multi-Turn Conversations - -### For GRPO/RLOO (Online RL) - -1. **Generation Phase** (Lines 1383-1390): - - Generate completions - - Find first EOS token - - Strip tokens after first EOS from completion_ids - -2. **Scoring Phase** (Lines 1470-1473): - - Create completion_mask with 1s for all completion tokens - - Pad with 0s - -3. **Optional Truncation Masking** (Lines 1480-1484): - - If `mask_truncated_completions=True` - - Check if last token is EOS/PAD - - If not, zero out ENTIRE completion - -4. **Loss Computation**: - - `completion_mask` multiplied element-wise with per-token losses - - Example (Line 1856): `loss = ((per_token_loss * completion_mask).sum(-1) / completion_mask.sum(-1).clamp(min=1.0)).mean()` - -### For SFT (Supervised Fine-Tuning) - -1. **Tokenization Phase** (Lines 969-1033): - - Apply chat template with `return_assistant_tokens_mask=True` - - Get `assistant_masks` for multi-turn conversations - - OR get `completion_mask` for prompt-completion format - -2. **Collation Phase** (Lines 177-222): - - Convert masks to tensors - - Pad masks - - Apply to labels: `labels[mask == 0] = -100` - -3. **Loss Computation**: - - Standard cross-entropy loss - - Tokens with `label == -100` are automatically ignored - ---- - -## 6. Key Differences from Other Approaches - -### What TRL Does: - -1. ✅ **Masks tokens after first EOS** (strips them during generation) -2. ✅ **Uses chat template for assistant masking** in multi-turn -3. ✅ **Provides optional truncation masking** (entire sequence) -4. ✅ **Handles both prompt-completion and conversational formats** - -### What TRL Does NOT Do: - -1. ❌ **No suffix length validation** after EOS -2. ❌ **No explicit checking** of how many tokens exist after EOS -3. ❌ **No warnings/errors** if suffix after EOS is non-zero -4. ❌ **No token-level truncation masking** (only sequence-level) - ---- - -## 7. Code Examples - -### Example 1: Creating Completion Mask in GRPO - -**Location**: `/home/felipemello/forge/trl/trl/trainer/grpo_trainer.py:1470-1473` - -```python -# Convert lists of token IDs to padded tensors -prompt_ids = [torch.tensor(ids, device=device) for ids in prompt_ids_list] -prompt_mask = [torch.ones_like(ids, dtype=torch.long) for ids in prompt_ids] -prompt_ids = pad(prompt_ids, padding_value=self.pad_token_id, padding_side="left") -prompt_mask = pad(prompt_mask, padding_value=0, padding_side="left") -completion_ids = [torch.tensor(ids, device=device) for ids in completion_ids_list] -completion_mask = [torch.ones_like(ids, dtype=torch.long) for ids in completion_ids] -completion_ids = pad(completion_ids, padding_value=self.pad_token_id, padding_side="right") -completion_mask = pad(completion_mask, padding_value=0, padding_side="right") -``` - -### Example 2: Stripping Tokens After EOS - -**Location**: `/home/felipemello/forge/trl/trl/trainer/grpo_trainer.py:1383-1390` - -```python -# Mask everything after the first EOS token -is_eos = completion_ids == self.eos_token_id -# Initialize eos_idx to sequence length (no EOS found) -eos_idx = torch.full((is_eos.size(0),), is_eos.size(1), dtype=torch.long, device=device) -# For sequences with EOS, find the first occurrence -eos_idx[is_eos.any(dim=1)] = is_eos.int().argmax(dim=1)[is_eos.any(dim=1)] -# Create sequence indices [0, 1, 2, ..., seq_len-1] -sequence_indices = torch.arange(is_eos.size(1), device=device).expand(is_eos.size(0), -1) -# Mask includes tokens up to and including first EOS -completion_mask = (sequence_indices <= eos_idx.unsqueeze(1)).int() -# Extract only the masked tokens -prompt_ids = [p[m].tolist() for p, m in zip(prompt_ids, prompt_mask.bool(), strict=True)] -completion_ids = [c[m].tolist() for c, m in zip(completion_ids, completion_mask.bool(), strict=True)] -``` - -### Example 3: Assistant Mask Application in SFT - -**Location**: `/home/felipemello/forge/trl/trl/trainer/sft_trainer.py:218-222` - -```python -if "assistant_masks" in examples[0]: - assistant_masks = pad( - assistant_masks, padding_value=0, padding_side="right", pad_to_multiple_of=self.pad_to_multiple_of - ) - output["labels"][assistant_masks == 0] = -100 -``` - -### Example 4: Completion Mask in Loss Computation - -**Location**: `/home/felipemello/forge/trl/trl/trainer/grpo_trainer.py:1856` - -```python -if self.loss_type == "grpo": - loss = ((per_token_loss * completion_mask).sum(-1) / completion_mask.sum(-1).clamp(min=1.0)).mean() - loss = loss / self.current_gradient_accumulation_steps -``` - ---- - -## 8. Relevant Configuration Options - -### GRPO Configuration - -- `mask_truncated_completions` (bool): Whether to mask entire truncated completions -- `max_completion_length` (int): Maximum length for completions -- `completion_only_loss` (bool): Whether to compute loss only on completions - -### SFT Configuration - -- `assistant_only_loss` (bool): Whether to compute loss only on assistant tokens -- `completion_only_loss` (bool): Whether to compute loss only on completion (for prompt-completion format) -- `max_length` (int): Maximum sequence length - ---- - -## 9. File Reference Map - -| Feature | File | Key Lines | -|---------|------|-----------| -| **GRPO Completion Mask Creation** | `trl/trainer/grpo_trainer.py` | 1470-1473 | -| **GRPO EOS Token Stripping** | `trl/trainer/grpo_trainer.py` | 1383-1390 | -| **GRPO Truncation Masking** | `trl/trainer/grpo_trainer.py` | 1480-1484 | -| **GRPO Loss Computation** | `trl/trainer/grpo_trainer.py` | 1856-1868 | -| **RLOO Completion Mask** | `trl/trainer/rloo_trainer.py` | 1261-1269 | -| **RLOO EOS Token Stripping** | `trl/trainer/rloo_trainer.py` | 1176-1183 | -| **SFT Assistant Mask Creation** | `trl/trainer/sft_trainer.py` | 969-985, 1011-1022 | -| **SFT Completion Mask Creation** | `trl/trainer/sft_trainer.py` | 1000-1003 | -| **Data Collator (Text)** | `trl/trainer/sft_trainer.py` | 85-222 | -| **Data Collator (Vision)** | `trl/trainer/sft_trainer.py` | 253-461 | -| **Chat Template Utilities** | `trl/data_utils.py` | 186-316 | - ---- - -## 10. Recommendations Based on TRL's Approach - -### For Multi-Turn Conversations: - -1. **Use assistant_masks** from chat template (requires proper template with `{% generation %}`) -2. **Do NOT rely on suffix length checking** - TRL doesn't do this -3. **Leverage completion_mask** for prompt-completion format -4. **Trust EOS token stripping** during generation phase - -### For Token-After-EOS Handling: - -1. **TRL strips tokens after first EOS** during generation (transformers path) -2. **vLLM/rollout_func paths** handle this internally -3. **No need for explicit suffix validation** - handled by generation logic - -### For Truncation Handling: - -1. **Use `mask_truncated_completions`** to exclude truncated sequences entirely -2. **Check last token** for EOS/PAD to detect truncation -3. **Sequence-level masking** rather than token-level - ---- - -## 11. Notable Design Choices - -### Why TRL Doesn't Check Suffix Length: - -1. **Generation-time stripping**: Tokens after EOS are removed during generation -2. **Mask-based approach**: Focuses on masking rather than validation -3. **Efficiency**: Avoids extra validation overhead -4. **vLLM handling**: When using vLLM, it manages this internally - -### Why TRL Uses Assistant Masks: - -1. **Multi-turn support**: Natural way to handle conversations with multiple user/assistant turns -2. **Tokenizer integration**: Leverages transformers' built-in chat template system -3. **Flexibility**: Works with any chat template that supports `{% generation %}` - -### Why TRL Has Separate completion_mask and assistant_masks: - -1. **completion_mask**: For prompt-completion format (single turn) -2. **assistant_masks**: For conversational format (multi-turn) -3. **Different use cases**: SFT vs RL training scenarios - ---- - -## 12. Comparison with Potential Alternatives - -### Alternative Approach: Explicit Suffix Validation - -```python -# What TRL DOESN'T do (but could): -for ids in completion_ids_list: - first_eos_idx = (ids == eos_token_id).nonzero(as_tuple=True)[0] - if len(first_eos_idx) > 0: - suffix_len = len(ids) - first_eos_idx[0] - 1 - if suffix_len > 0: - logger.warning(f"Found {suffix_len} tokens after EOS") -``` - -**TRL's approach instead**: Strip during generation, trust the process. - -### Alternative Approach: Token-Level Truncation Masking - -```python -# What TRL DOESN'T do: -# Gradually mask tokens after some threshold, not entire sequence -``` - -**TRL's approach instead**: Sequence-level masking with `mask_truncated_completions`. - ---- - -## 13. Summary Table - -| Aspect | TRL's Approach | File Location | -|--------|----------------|---------------| -| **Completion Mask Creation** | Create 1s for actual tokens, 0s for padding | grpo_trainer.py:1470-1473 | -| **Tokens After EOS** | Strip during generation (transformers path) | grpo_trainer.py:1383-1390 | -| **Suffix Length Checking** | ❌ Not performed | N/A | -| **Chat Template** | Use `apply_chat_template` with `return_assistant_tokens_mask` | sft_trainer.py:969-985 | -| **Multi-Turn Masking** | Use `assistant_masks` from tokenizer | sft_trainer.py:218-222 | -| **Truncation Handling** | Sequence-level masking via `mask_truncated_completions` | grpo_trainer.py:1480-1484 | -| **Loss Computation** | Element-wise multiplication with mask | grpo_trainer.py:1856 | - ---- - -## Conclusion - -TRL's masking approach is **generation-centric** and **mask-based** rather than validation-based: - -1. Tokens after EOS are **stripped during generation** (not validated post-hoc) -2. Multi-turn conversations use **assistant_masks from chat templates** -3. **No explicit suffix length checking** - relies on generation-time handling -4. **Sequence-level truncation masking** available via config option -5. Clean separation between **prompt-completion** (completion_mask) and **conversational** (assistant_masks) formats - -This design prioritizes efficiency and integration with the generation process over explicit validation checks. diff --git a/debug/verify_eos_hypothesis.py b/debug/verify_eos_hypothesis.py deleted file mode 100644 index 43f6f48d2..000000000 --- a/debug/verify_eos_hypothesis.py +++ /dev/null @@ -1,267 +0,0 @@ -#!/usr/bin/env python3 -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Verify the EOS hypothesis by decoding tokens and checking response_mask. -""" - -import sys - -import torch - -sys.path.insert(0, "/home/felipemello/forge") -from vllm.transformers_utils.tokenizer import get_tokenizer - -# Load dump -dump_file = ( - sys.argv[1] if len(sys.argv) > 1 else "/tmp/grpo_loss_debug_20251119_140858.pt" -) - -print("=" * 80) -print(f"Loading: {dump_file}") -print("=" * 80) - -data = torch.load(dump_file, map_location="cpu") - -# Get tokenizer -model_name = "Qwen/Qwen2.5-0.5B-Instruct" -tokenizer = get_tokenizer(model_name) -eos_token_id = tokenizer.eos_token_id - -print(f"\nEOS token ID: {eos_token_id}") - -# Extract tensors -input_ids = data["input_ids"] -targets = data["targets"] -loss_mask = data["loss_mask"] -logprobs = data["logprobs"] -ref_logprobs = data["ref_logprobs"] -kl = data["kl"] - -batch_size, seq_len = input_ids.shape -ignore_idx = -100 - -# ============================================================================ -# Step 1: Reconstruct response_mask from loss_mask -# ============================================================================ -print("\n" + "=" * 80) -print("STEP 1: Reconstructing response_mask from loss_mask") -print("=" * 80) - -# loss_mask[i] = response_mask[i+1] -# So: response_mask[i+1] = loss_mask[i] -# Therefore: response_mask[i] = loss_mask[i-1] - -response_mask = torch.zeros_like(loss_mask) -response_mask[:, 1:] = loss_mask[:, :-1] # Shift back -response_mask[:, 0] = 0.0 # First position unknown, assume False - -print(f"Reconstructed response_mask shape: {response_mask.shape}") -print(f"Response tokens (response_mask=1): {response_mask.sum().item()}") -print(f"Trainable positions (loss_mask=1): {loss_mask.sum().item()}") -print(f"Difference: {response_mask.sum().item() - loss_mask.sum().item()}") - -# ============================================================================ -# Step 2: Find all EOS positions -# ============================================================================ -print("\n" + "=" * 80) -print("STEP 2: Finding all EOS positions") -print("=" * 80) - -eos_positions = input_ids == eos_token_id -eos_count = eos_positions.sum().item() - -print(f"Total EOS tokens: {eos_count}") - -# Find EOS positions with loss_mask=1 (being trained on) -eos_trainable = eos_positions & (loss_mask == 1.0) -eos_trainable_count = eos_trainable.sum().item() - -print(f"EOS positions with loss_mask=1: {eos_trainable_count}") -print(f"EOS positions with loss_mask=0: {eos_count - eos_trainable_count}") - -if eos_trainable_count > 0: - print(f"\n⚠️ BUG CONFIRMED: {eos_trainable_count} EOS positions have loss_mask=1!") - -# ============================================================================ -# Step 3: Check KL values at EOS positions -# ============================================================================ -print("\n" + "=" * 80) -print("STEP 3: Analyzing KL at EOS positions") -print("=" * 80) - -if eos_trainable_count > 0: - kl_at_eos = kl[eos_trainable] - diff_at_eos = (ref_logprobs - logprobs)[eos_trainable] - - print(f"KL at EOS positions (where loss_mask=1):") - print(f" Mean: {kl_at_eos.mean().item():.4f}") - print(f" Min: {kl_at_eos.min().item():.4f}") - print(f" Max: {kl_at_eos.max().item():.4f}") - - print(f"Logprob diff at EOS positions:") - print(f" Mean: {diff_at_eos.mean().item():.4f}") - print(f" Min: {diff_at_eos.min().item():.4f}") - print(f" Max: {diff_at_eos.max().item():.4f}") - - # Compare to non-EOS trainable positions - non_eos_trainable = (loss_mask == 1.0) & (~eos_positions) - if non_eos_trainable.sum() > 0: - kl_non_eos = kl[non_eos_trainable] - diff_non_eos = (ref_logprobs - logprobs)[non_eos_trainable] - - print(f"\nKL at NON-EOS trainable positions:") - print(f" Mean: {kl_non_eos.mean().item():.4f}") - print(f" Min: {kl_non_eos.min().item():.4f}") - print(f" Max: {kl_non_eos.max().item():.4f}") - - print(f"Logprob diff at NON-EOS trainable positions:") - print(f" Mean: {diff_non_eos.mean().item():.4f}") - print(f" Min: {diff_non_eos.min().item():.4f}") - print(f" Max: {diff_non_eos.max().item():.4f}") - - print(f"\n📊 Comparison:") - print(f" EOS KL mean: {kl_at_eos.mean().item():.4f}") - print(f" Non-EOS KL mean: {kl_non_eos.mean().item():.4f}") - print( - f" Ratio: {kl_at_eos.mean().item() / (kl_non_eos.mean().item() + 1e-8):.2f}x" - ) - -# ============================================================================ -# Step 4: Decode and show problematic positions -# ============================================================================ -print("\n" + "=" * 80) -print("STEP 4: Decoding problematic positions") -print("=" * 80) - -# Find top 10 worst KL positions -kl_flat = kl.view(-1) -_, top_indices = torch.topk(kl_flat, k=min(10, kl_flat.numel())) - -for rank, idx in enumerate(top_indices[:10]): - idx = idx.item() - batch = idx // seq_len - pos = idx % seq_len - - # Skip if not trainable - if loss_mask[batch, pos] == 0: - continue - - kl_val = kl[batch, pos].item() - - print(f"\n--- Rank {rank+1}: KL = {kl_val:.2f} (batch={batch}, pos={pos}) ---") - - # Show context - start = max(0, pos - 3) - end = min(seq_len, pos + 4) - - print( - f" {'Pos':>4} {'Token':>8} {'Decoded':>15} {'RespMask':>8} {'LossMask':>8} {'Target':>8} {'KL':>8}" - ) - print(f" {'-'*75}") - - for i in range(start, end): - token_id = input_ids[batch, i].item() - resp_mask = response_mask[batch, i].item() - loss_mk = loss_mask[batch, i].item() - tgt = targets[batch, i].item() - kl_i = kl[batch, i].item() - - # Decode token - try: - decoded = tokenizer.decode([token_id]) - # Clean up for display - decoded = decoded.replace("\n", "\\n").replace("\r", "\\r") - decoded = decoded[:15] # Truncate - except: - decoded = "???" - - # Check if EOS - is_eos = " [EOS]" if token_id == eos_token_id else "" - flag = " ← HERE" if i == pos else "" - - tgt_str = "IGNORE" if tgt == ignore_idx else f"{tgt:6d}" - - print( - f" {i:4d} {token_id:8d} {decoded:>15s}{is_eos:6s} {resp_mask:8.1f} {loss_mk:8.1f} {tgt_str:>8s} {kl_i:8.2f}{flag}" - ) - -# ============================================================================ -# Step 5: Check what happens after EOS -# ============================================================================ -print("\n" + "=" * 80) -print("STEP 5: What comes after EOS tokens?") -print("=" * 80) - -# Find all EOS positions that are NOT at the end of sequence -eos_coords = torch.where(eos_positions) - -print(f"Checking {len(eos_coords[0])} EOS positions...") - -suspicious_count = 0 -for batch, pos in zip(eos_coords[0][:20], eos_coords[1][:20]): # Check first 20 - batch = batch.item() - pos = pos.item() - - if pos >= seq_len - 1: - continue # Skip last position - - # Check next 3 tokens - print(f"\nEOS at batch={batch}, pos={pos}:") - - for offset in range(4): - if pos + offset >= seq_len: - break - - i = pos + offset - token_id = input_ids[batch, i].item() - resp_mask = response_mask[batch, i].item() - loss_mk = loss_mask[batch, i].item() - - try: - decoded = tokenizer.decode([token_id]) - decoded = decoded.replace("\n", "\\n").replace("\r", "\\r")[:20] - except: - decoded = "???" - - is_eos_marker = "[EOS]" if token_id == eos_token_id else "" - flag = "" - - if offset == 0: - label = "AT EOS" - elif offset == 1: - label = "NEXT" - if resp_mask == 1.0: - flag = " ⚠️ RESPONSE_MASK=1 (BUG!)" - suspicious_count += 1 - elif offset == 2: - label = "NEXT+1" - else: - label = "NEXT+2" - - print( - f" {label:8s}: pos={i:3d} token={token_id:6d} {is_eos_marker:6s} '{decoded:20s}' resp={resp_mask:.0f} loss={loss_mk:.0f}{flag}" - ) - -if suspicious_count > 0: - print(f"\n🔥 FOUND {suspicious_count} SUSPICIOUS POSITIONS!") - print(f" These are tokens AFTER EOS that have response_mask=1") - -print("\n" + "=" * 80) -print("SUMMARY") -print("=" * 80) - -print(f"\n1. Total EOS tokens: {eos_count}") -print(f"2. EOS positions being trained (loss_mask=1): {eos_trainable_count}") -if eos_trainable_count > 0: - print(f" ⚠️ THIS IS THE BUG!") - print(f" We should NOT train at EOS positions (predicting what comes after EOS)") -print(f"3. Suspicious tokens after EOS with response_mask=1: {suspicious_count}") -if suspicious_count > 0: - print(f" ⚠️ Root cause: TokenAccumulator is marking post-EOS tokens as responses") - -print("\n" + "=" * 80) diff --git a/debug/verl_mask_analysis.md b/debug/verl_mask_analysis.md deleted file mode 100644 index 78e8de054..000000000 --- a/debug/verl_mask_analysis.md +++ /dev/null @@ -1,586 +0,0 @@ -# VERL: Training Masks & Episode Data Structures for RL Training - -## Overview -This document details how VERL handles training masks and episode/trajectory data structures for reinforcement learning training. The analysis covers mask definitions, data flow, and how they're used in loss computations. - ---- - -## 1. Episode/Trajectory Data Structures - -### 1.1 Primary Data Structure: AsyncRolloutRequest (Rollout Schema) -**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` (lines 81-116) - -#### Fields Stored: -```python -class AsyncRolloutRequest(BaseModel): - # Request metadata - batch_data_id: int = 0 - rollout_offset: int = 0 - request_id: str - state: AsyncRolloutRequestStateEnum - - # Input/Output Token IDs - input_ids: Optional[torch.Tensor] = None # Full sequence (prompt + response) - prompt_ids: Optional[torch.Tensor] = None # Prompt only - response_ids: Optional[torch.Tensor] = None # Response only - - # Attention Masks (indicate which tokens are attended to) - attention_mask: Optional[torch.Tensor] = None - prompt_attention_mask: Optional[torch.Tensor] = None - response_attention_mask: Optional[torch.Tensor] = None - - # Position IDs (for position embeddings) - position_ids: Optional[torch.Tensor] = None - prompt_position_ids: Optional[torch.Tensor] = None - response_position_ids: Optional[torch.Tensor] = None - - # LOSS MASKS (indicate which tokens to include in loss computation) - loss_mask: Optional[torch.Tensor] = None # Full sequence loss mask - prompt_loss_mask: Optional[torch.Tensor] = None # Prompt loss mask (typically all 0) - response_loss_mask: Optional[torch.Tensor] = None # Response loss mask (1 for trainable tokens) - - # Reward Data - reward_scores: dict[str, float] # Reward model scores - - # Generation parameters - max_prompt_len: int - max_response_len: int = 8192 - max_model_len: int = 32768 - - # Optional: log probabilities for IS correction - rollout_log_probs: torch.Tensor | None = None - output_token_ids: torch.Tensor | None = None -``` - -#### Key Initialization (from lines 201-202): -```python -# Initial state: prompt loss mask is all 0 (no training on prompt tokens) -values["loss_mask"] = values["prompt_loss_mask"] = torch.zeros_like( - values["input_ids"], dtype=torch.bool -) -``` - ---- - -## 2. Mask Types & Definitions - -### 2.1 Three Mask Types Used in VERL - -#### A. **attention_mask** (Padding Mask) -- **Purpose:** Indicates valid vs padding tokens in attention operations -- **Values:** - - 1 = valid token (attend to) - - 0 = padding token (don't attend to) -- **Shape:** `(batch_size, seq_length)` -- **Usage:** Used in model forward pass for attention computation -- **How Set:** - - All 1s for non-padded positions - - 0s for padded positions (right-padding) - - Left-padding for prompts (padding tokens on left have mask 0) - -**Code Reference:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` lines 310-314 - -#### B. **loss_mask** (Training Mask / Trainable Position Mask) -- **Purpose:** Indicates which tokens should be included in loss computation -- **Values:** - - 1 (or True in bool form) = compute loss for this token - - 0 (or False) = don't compute loss for this token -- **Shape:** `(batch_size, seq_length)` -- **Who Computes Loss:** Used to filter which tokens contribute to gradient updates -- **Default Behavior:** - - Prompt tokens: loss_mask = 0 (don't train on prompt) - - Response tokens: loss_mask = 1 (train on response only) - -**Code References:** -- Initialization: `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` line 202 -- Assistant message update: line 412 `loss_mask=True` -- User message update: line 393 `loss_mask=False` - -#### C. **response_mask** (Response Token Mask) -- **Purpose:** Indicates which tokens are actual response tokens (not padding) vs padding -- **Values:** - - 1 = response token (generated by the model, up to EOS) - - 0 = padding or prompt token -- **Shape:** `(batch_size, response_length)` -- **Used In:** Loss aggregation, advantage computation, masked operations -- **How Computed:** From response_ids using `get_response_mask()` - -**Code Reference:** `/home/felipemello/forge/verl/verl/utils/torch_functional.py` lines 226-246 - ---- - -## 2.2 Relationship Between Masks - -### Mask Creation Flow: - -``` -1. Initial Request Created (with prompt) - → loss_mask = all 0s (prompts don't train) - → attention_mask = 1 for valid tokens - -2. Response Generated - → response_ids created - → response_loss_mask = 1 for tokens up to EOS, 0 for padding - -3. Loss Computation Stage - → response_mask is derived from response_ids (includes EOS cutoff) - → Used in loss calculation: only tokens where mask=1 contribute to loss -``` - -### Example from Get Response Mask Function: - -```python -def get_response_mask(response_id: torch.Tensor, eos_token: int | list[int] = 2): - """ - Create mask that is 1 for valid response tokens (up to and including EOS), - 0 for padding after EOS. - - Example: - response_id = [20, 10, 34, 1, 0, 0, 0] # EOS=1 - response_mask = [1, 1, 1, 1, 0, 0, 0] # Stop after EOS - - response_id = [78, 0, 76, 2, 1, 0, 0] # EOS=2 - response_mask = [1, 1, 1, 1, 0, 0, 0] # Stop after EOS - """ - eos_mask = torch.isin(response_id, torch.tensor(eos_token)) - return (eos_mask.cumsum(dim=1) - eos_mask).eq(0).to(dtype) -``` - -File: `/home/felipemello/forge/verl/verl/utils/torch_functional.py` lines 226-246 - ---- - -## 3. Loss Computation & Mask Usage - -### 3.1 SFT Loss Function -**File:** `/home/felipemello/forge/verl/verl/workers/roles/utils/losses.py` lines 27-53 - -```python -def sft_loss(config: ActorConfig, model_output, data: TensorDict, dp_group=None): - log_prob = model_output["log_probs"] - - if pad_mode == DatasetPadMode.NO_PADDING: - # For no-padding mode (nested tensors) - loss_mask = data["loss_mask"] # nested tensor - log_prob_flatten = log_prob.values() - loss_mask_flatten = loss_mask.values() - - # Left-shift the loss mask by one token to align with log_prob - # (because logits are shifted from input_ids) - loss_mask_flatten = torch.roll(loss_mask_flatten, shifts=-1, dims=0) - - # Loss averaged only over tokens where mask=1 - loss = -masked_sum(log_prob_flatten, loss_mask_flatten) / batch_num_tokens - else: - # For padded mode - response_mask = data["response_mask"].to(bool) - loss = -masked_sum(log_prob, response_mask) / batch_num_tokens -``` - -### 3.2 PPO Loss Function -**File:** `/home/felipemello/forge/verl/verl/workers/roles/utils/losses.py` lines 56-105 - -```python -def ppo_loss(config: ActorConfig, model_output, data: TensorDict, dp_group=None): - log_prob = model_output["log_probs"] - old_log_prob = data["old_log_probs"] - advantages = data["advantages"] - response_mask = data["response_mask"].to(bool) # Use response_mask for masking - - # Policy loss computation - policy_loss_fn = get_policy_loss_fn(loss_mode) - pg_loss, pg_metrics = policy_loss_fn( - old_log_prob=old_log_prob, - log_prob=log_prob, - advantages=advantages, - response_mask=response_mask, # MASK PASSED HERE - loss_agg_mode=loss_agg_mode, - config=config, - ) - - return policy_loss, metrics -``` - -### 3.3 Masked Loss Aggregation -**File:** `/home/felipemello/forge/verl/verl/trainer/ppo/core_algos.py` lines 772-808 - -```python -def agg_loss(loss_mat: torch.Tensor, loss_mask: torch.Tensor, loss_agg_mode: str): - """ - Aggregate loss matrix into a scalar using specified aggregation mode. - - Args: - loss_mat: (bs, response_length) - loss_mask: (bs, response_length) - 1 where we compute loss, 0 where we don't - loss_agg_mode: aggregation strategy - """ - if loss_agg_mode == "token-mean": - # Average over all unmasked tokens - loss = masked_mean(loss_mat, loss_mask) - - elif loss_agg_mode == "seq-mean-token-sum": - # Sum loss per sequence, then average across sequences - seq_losses = torch.sum(loss_mat * loss_mask, dim=-1) - seq_mask = (torch.sum(loss_mask, dim=-1) > 0).float() - loss = masked_mean(seq_losses, seq_mask) - - elif loss_agg_mode == "seq-mean-token-mean": - # Average loss per sequence, then average across sequences - seq_mask = torch.sum(loss_mask, dim=-1) - seq_losses = torch.sum(loss_mat * loss_mask, dim=-1) / (seq_mask + 1e-8) - seq_mask = (seq_mask > 0).float() - loss = masked_mean(seq_losses, seq_mask) -``` - -**Key Point:** Loss is ONLY computed for positions where mask=1 - ---- - -## 4. Response vs Trainable Positions: Key Differences - -### 4.1 Definition Distinction - -| Aspect | Response Tokens | Trainable Positions | -|--------|-----------------|-------------------| -| **Definition** | Tokens generated by the model in the rollout phase | Tokens that contribute to the loss and gradient updates | -| **Computed From** | response_ids (actual generation output) | response_loss_mask in the episode data | -| **Determined By** | Model's generation + EOS detection | Explicit masking in loss_mask field | -| **Typical Pattern** | Includes prompt + generated tokens up to EOS | Only includes response portion (exclude prompt) | -| **Mask Name** | response_mask or response_attention_mask | loss_mask or response_loss_mask | - -### 4.2 Code Example: Setting Loss Mask During Generation - -**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` lines 299-314 - -```python -def _update_input_ids( - self, - new_input_ids: torch.Tensor, - attention_mask: bool, - loss_mask: bool, # This controls whether new tokens are trainable -): - """ - Add tokens to the request. The loss_mask parameter determines if they're trainable. - """ - self.input_ids = torch.cat([self.input_ids, new_input_ids], dim=-1) - attention_mask = torch.ones_like(new_input_ids) * int(attention_mask) - self.attention_mask = torch.cat([self.attention_mask, attention_mask], dim=-1) - - loss_mask = torch.ones_like(new_input_ids) * int(loss_mask) - self.loss_mask = torch.cat([self.loss_mask, loss_mask], dim=-1) -``` - -### 4.3 Practical Scenario - -``` -Full Sequence: [ | | ] - ^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^ ^^^^^^^^ - -attention_mask: [1, 1, ..., 1 | 1, 1, ..., 1 | 0, 0, ..., 0] - Marks which are real tokens vs padding - -response_mask: [0, 0, ..., 0 | 1, 1, ..., 1 | 0, 0, ..., 0] - Marks which are generated response tokens (up to EOS) - -loss_mask: [0, 0, ..., 0 | 1, 1, ..., 1 | 0, 0, ..., 0] - Marks which tokens to compute loss on (response only) -``` - ---- - -## 5. Batch Processing & Mask Handling - -### 5.1 Sglang Rollout Batch Creation -**File:** `/home/felipemello/forge/verl/verl/workers/rollout/sglang_rollout/sglang_rollout.py` lines 1195-1360 - -```python -def _construct_batch_data(self, sorted_output_req_list): - """ - Construct batch from completed requests with proper masking. - """ - response_loss_mask = [] - - # Collect response masks from each request - for req in sorted_output_req_list: - response_loss_mask.append(req.response_loss_mask.to(device).squeeze(0)) - - # Pad to standard length - response_loss_mask = pad_sequence( - response_loss_mask, batch_first=True, padding_value=0 - ) - if response_loss_mask.shape[1] < self.config.response_length: - response_loss_mask = pad_sequence_to_length( - response_loss_mask, self.config.response_length, 0 - ) - - # Create final batch - batch = TensorDict({ - "prompts": prompt_ids, - "responses": response_ids, - "response_mask": response_loss_mask, # Named "response_mask" in batch - "input_ids": input_ids, - "attention_mask": attention_mask, - "position_ids": position_ids, - }) - - return batch -``` - -**Key Points:** -- Individual request's `response_loss_mask` → batch's `response_mask` -- Padding value = 0 (no loss for padded tokens) -- All sequences padded to same length for batching - -### 5.2 Padding Requests (for Failed Generations) -**File:** `/home/felipemello/forge/verl/verl/workers/rollout/sglang_rollout/sglang_rollout.py` lines 1362-1419 - -```python -def _create_padding_request(self, original_req): - """ - Create a padding request (for failed generations) with all-zero loss masks - so they don't contribute to loss. - """ - padding_response_ids = torch.full( - (1, self.config.response_length), - self.pad_token_id, - dtype=torch.long, - ) - - padding_response_attention_mask = torch.zeros( - (1, self.config.response_length), - dtype=torch.long, - ) - - # IMPORTANT: loss_mask is all 0 - padding_response_loss_mask = torch.zeros( - (1, self.config.response_length), - dtype=torch.long, - ) - - padding_req.response_loss_mask = padding_response_loss_mask - return padding_req -``` - -**Comment from code (line 1366):** -``` -# 2. response_loss_mask is all 0, ensuring it is ignored in loss calculation -``` - ---- - -## 6. No-Padding Mode & Mask Conversion - -### 6.1 Converting Padded to No-Padding Mode -**File:** `/home/felipemello/forge/verl/verl/workers/roles/utils/padding.py` lines 30-85 - -```python -def left_right_2_no_padding(data: TensorDict) -> TensorDict: - """ - Convert from left-right padded to no-padding (nested tensor) format. - - Inputs: - - input_ids: (batch_size, seq_length) padded - - attention_mask: (batch_size, seq_length) - - response_mask: (batch_size, response_length) - - position_ids: (batch_size, seq_length) - - Outputs: - - input_ids: NestedTensor (no padding) - - loss_mask: NestedTensor (derived from response_mask) - - position_ids: NestedTensor - """ - input_ids = data.pop("input_ids") - attention_mask = data.pop("attention_mask") - response_mask = data["response_mask"] # Keep this - - max_seq_len = input_ids.shape[1] - max_response_len = response_mask.shape[1] - - # Remove padding - input_ids_rmpad, indices, cu_seqlens = unpad_input( - input_ids.unsqueeze(-1), attention_mask - ) - - # Create loss_mask from response_mask - seq_lens = cu_seqlens.diff().tolist() - response_lens = response_mask.sum(dim=1).tolist() - - loss_mask_list = [] - for seq_len, response_len in zip(seq_lens, response_lens): - loss_mask = torch.zeros(seq_len, dtype=torch.bool) - # Loss mask only for last response_len tokens - loss_mask[-response_len:] = 1 - loss_mask_list.append(loss_mask) - - loss_mask_nested = torch.nested.as_nested_tensor( - loss_mask_list, layout=torch.jagged - ) - - return data -``` - -**Key Insight:** -- In no-padding mode, loss_mask is derived as: 1 for last N tokens where N = response_len -- This ensures loss is only computed on the response portion - ---- - -## 7. Advantage Estimators & Mask Usage - -### 7.1 GRPO Advantage Computation -**File:** `/home/felipemello/forge/verl/verl/trainer/ppo/core_algos.py` lines 264-328 - -```python -def compute_grpo_outcome_advantage( - token_level_rewards: torch.Tensor, - response_mask: torch.Tensor, - index: np.ndarray, -): - """ - GRPO computes advantage as difference from group mean. - - Args: - token_level_rewards: (bs, response_length) - response_mask: (bs, response_length) - which tokens are valid - index: group ID for each sample - - Returns: - advantages: (bs, response_length) - """ - scores = token_level_rewards.sum(dim=-1) # Sum reward across response tokens - - # Compute mean reward per group - id2score = defaultdict(list) - for i in range(bsz): - id2score[index[i]].append(scores[i]) - - for idx in id2score: - id2mean[idx] = torch.mean(torch.stack(id2score[idx])) - - # Advantage = (reward - group_mean) / group_std, broadcasted across response - advantages = (scores.unsqueeze(-1) - group_mean) / (group_std + epsilon) - advantages = advantages * response_mask # Mask out non-response tokens - - return advantages -``` - ---- - -## 8. Summary: Key Design Patterns - -### 8.1 Mask Naming Convention in VERL - -| Component | Mask Field Name | Values | Purpose | -|-----------|-----------------|--------|---------| -| Rollout Request (Single) | `loss_mask`, `response_loss_mask` | bool or int | Trainable positions | -| Batch (after rollout) | `response_mask` | int (0/1) | Trainable positions in batch | -| Loss computation | `response_mask` (as bool) | bool | Filter which tokens compute loss | -| Padding conversion | `loss_mask` | bool | Trainable positions in nested tensor format | - -### 8.2 Important Code Locations - -| Functionality | File | Lines | -|--------------|------|-------| -| Episode structure definition | `/verl/workers/rollout/schemas.py` | 81-116, 201-202 | -| Mask creation during generation | `/verl/workers/rollout/schemas.py` | 299-334 | -| Response mask computation | `/verl/utils/torch_functional.py` | 226-246 | -| Loss computation with masks | `/verl/workers/roles/utils/losses.py` | 27-135 | -| Loss aggregation modes | `/verl/trainer/ppo/core_algos.py` | 772-808 | -| Batch construction | `/verl/workers/rollout/sglang_rollout/sglang_rollout.py` | 1195-1360 | -| Padding mode conversion | `/verl/workers/roles/utils/padding.py` | 30-85 | -| Advantage estimation | `/verl/trainer/ppo/core_algos.py` | 212-716 | - -### 8.3 Mask Value Meanings Across the Pipeline - -``` -Stage 1: Generation (AsyncRolloutRequest) - - loss_mask: 0 = don't train on prompt, 1 = train on response - -Stage 2: Batch Assembly (TensorDict) - - response_mask: 0 = padding/prompt, 1 = trainable response token - -Stage 3: Loss Computation - - response_mask (as bool): True where loss should be computed - - masked operations: loss * response_mask or masked_sum(loss, response_mask) - -Stage 4: No-Padding Mode - - loss_mask: 0 for prompt part of nested tensor, 1 for response part -``` - ---- - -## 9. Comments & Documentation in Code - -From `/verl/workers/rollout/sglang_rollout/sglang_rollout.py` (lines 582-590): - -```python -# response_mask: [bsz, response_length] -# 1 for LLM generated tokens (up to EOS) -# 0 for observation/padding tokens -# -# Example with multi-turn interaction: -# response_mask: | 1, 1, 1, ..., 1, 1 | 0, 0, .., 0, 0 | 1, 1, 1, ..., 1, 1 | 0, 0, ..., 0| -# ^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^ ^^^^^^^^^^^ -# turn1 response observation turn2 response padding -``` - ---- - -## 10. Critical Differences: Response Tokens vs Trainable Positions - -### The Key Distinction: - -1. **Response Tokens** (response_mask): - - Determined by the model's actual generation during rollout - - Includes everything generated up to and including the EOS token - - May include multiple "turns" in multi-turn conversations - - Derived from: `response_ids` via `get_response_mask()` - - Used for: Computing model output, aggregating reward signals - -2. **Trainable Positions** (loss_mask, response_loss_mask): - - Explicitly set during request processing - - Typically: only the response portion (not the prompt) - - Can be selectively disabled (e.g., for padding requests) - - Controls: Which tokens contribute to gradient updates via loss computation - - Used for: Filtering which positions compute loss - -### Example Scenario: - -```python -# Multi-turn conversation where we want to train on ALL generations -request.input_ids = [ - # Prompt (tokens 0-49) - , , ..., - # Response 1 (tokens 50-74) - , model_response_1, , - # Padding in middle (tokens 75-79) - , , , , , - # Response 2 (tokens 80-99) - , , model_response_2, -] - -request.response_mask = [0]*50 + [1]*25 + [0]*5 + [1]*20 -# ^^^^^^^^^^^^^^^^^ ^^^^ ^^^^^ ^^^^ ^^^^^ -# Index range prompt resp1 pad resp2 - -request.loss_mask = [0]*50 + [1]*25 + [0]*5 + [1]*20 -# For training on response only (typical case) - -# But could also be: -request.loss_mask = [0]*50 + [1]*25 + [0]*5 + [0]*20 -# To disable training on response 2 -``` - -This shows that even though response_mask includes both response portions, -loss_mask can selectively enable/disable training on specific portions. - ---- - -## Conclusion - -VERL's mask system provides fine-grained control over: -1. **Which tokens are valid** (attention_mask for padding) -2. **Which tokens are responses** (response_mask from generation) -3. **Which tokens should train** (loss_mask for gradient computation) - -The separation of "response tokens" (what was generated) from "trainable positions" (what should affect gradients) allows for sophisticated training scenarios including multi-turn dialogue, selective training, and importance sampling correction. diff --git a/debug/verl_masking_research.md b/debug/verl_masking_research.md deleted file mode 100644 index ea8ff9408..000000000 --- a/debug/verl_masking_research.md +++ /dev/null @@ -1,623 +0,0 @@ -# VERL Multi-Turn Conversation Masking Research - -**Research Date:** 2025-11-19 -**Objective:** Understand how VERL handles multi-turn conversation masking, EOS tokens, and suffix handling - ---- - -## Executive Summary - -VERL uses a **simple masking approach** for multi-turn conversations: -- **Loss masks are created incrementally** as messages are added -- **NO special EOS suffix stripping** - tokens after EOS are naturally masked via `response_mask` -- **NO explicit suffix length checking** after EOS tokens -- Chat template tokens (newlines, special tokens) are handled through the **incremental tokenization** approach - ---- - -## 1. Loss Mask Creation for Multi-Turn Conversations - -### 1.1 Schema-Level Loss Mask (`AsyncRolloutRequest`) - -**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` - -**Initial Setup (Line 202):** -```python -values["loss_mask"] = values["prompt_loss_mask"] = torch.zeros_like(values["input_ids"], dtype=torch.bool) -``` -- Prompt tokens start with `loss_mask=0` (not trained) -- Loss mask is **boolean tensor** same shape as input_ids - -**Key Method: `_update_input_ids()` (Lines 299-334):** -```python -def _update_input_ids( - self, - processing_class: PreTrainedTokenizer | PreTrainedTokenizerFast | ProcessorMixin, - new_input_ids: torch.Tensor, - attention_mask: bool, - loss_mask: bool, - new_multi_modal_inputs: Optional[dict[str, torch.Tensor]] = None, -) -> None: - """ - Update the input_ids, attention_mask, position_ids, and loss_mask in additive manner. - """ - self.input_ids = torch.cat([self.input_ids, new_input_ids], dim=-1) - attention_mask = torch.ones_like(new_input_ids) * int(attention_mask) - self.attention_mask = torch.cat([self.attention_mask, attention_mask], dim=-1) - loss_mask = torch.ones_like(new_input_ids) * int(loss_mask) - self.loss_mask = torch.cat([self.loss_mask, loss_mask], dim=-1) - # ... position_ids update -``` - -**Usage Pattern:** -- `loss_mask=True` → tokens are trained (loss computed) -- `loss_mask=False` → tokens are NOT trained (loss masked out) - ---- - -### 1.2 Adding Messages to Conversation - -**User Messages (Lines 379-393):** -```python -def add_user_message( - self, - processing_class: PreTrainedTokenizer | PreTrainedTokenizerFast | ProcessorMixin, - content: str, -) -> None: - self.messages.append(Message(role="user", content=content)) - messages = [*BASE_CHAT_HISTORY, self.messages[-1]] - # ... tokenize - content_ids = self._handle_apply_chat_template(...) - self._update_input_ids(processing_class, content_ids, - attention_mask=True, loss_mask=False) # ← NOT trained -``` - -**Assistant Messages (Lines 395-412):** -```python -def add_assistant_message( - self, - processing_class: PreTrainedTokenizer | PreTrainedTokenizerFast | ProcessorMixin, - content: str, - content_ids: Optional[torch.Tensor] = None, - tool_calls: Optional[list[OpenAIFunctionToolCall]] = None, -) -> None: - self.messages.append(Message(role="assistant", content=content, tool_calls=tool_calls)) - # ... tokenize - content_ids = self._handle_apply_chat_template(...) - self._update_input_ids(processing_class, content_ids, - attention_mask=True, loss_mask=True) # ← TRAINED -``` - -**Tool Response Messages (Lines 414-474):** -```python -def add_tool_response_messages( - self, - processing_class: PreTrainedTokenizer | PreTrainedTokenizerFast | ProcessorMixin, - contents: list[ToolResponse], -) -> None: - # ... add tool messages - self._update_input_ids( - processing_class, - content_ids, - attention_mask=True, - loss_mask=False, # ← Tool outputs NOT trained - new_multi_modal_inputs=multi_modal_inputs, - ) -``` - -**Summary:** -- **User messages:** `loss_mask=False` -- **Assistant messages:** `loss_mask=True` -- **Tool responses:** `loss_mask=False` - ---- - -## 2. Handling Tokens AFTER EOS - -### 2.1 Response Mask Creation - -**File:** `/home/felipemello/forge/verl/verl/utils/torch_functional.py` (Lines 226-246) - -**Key Function: `get_response_mask()`** -```python -def get_response_mask(response_id: torch.Tensor, eos_token: int | list[int] = 2, dtype=torch.int64): - """ - end of sentence token can be int or list: 1 or [1, 2] - e.g. - response_id = torch.tensor([[20, 10, 34, 1, 0, 0, 0], - [78, 0, 76, 2, 1, 0, 0], - [23, 98, 1, 0, 0, 0, 0], - [33, 3, 98, 45, 1, 0, 0]]) - #eos_token=1 - response_mask: tensor([[1, 1, 1, 1, 0, 0, 0], - [1, 1, 1, 1, 1, 0, 0], - [1, 1, 1, 0, 0, 0, 0], - [1, 1, 1, 1, 1, 0, 0]]) - #eos_token=[1,2] - response_mask: tensor([[1, 1, 1, 1, 0, 0, 0], - [1, 1, 1, 1, 0, 0, 0], - [1, 1, 1, 0, 0, 0, 0], - [1, 1, 1, 1, 1, 0, 0]]) - """ - eos_mask = torch.isin(response_id, torch.tensor(eos_token, device=response_id.device)).int() - return (eos_mask.cumsum(dim=1) - eos_mask).eq(0).to(dtype) -``` - -**Behavior:** -- Creates mask with `1` up to and INCLUDING the first EOS token -- All tokens AFTER first EOS get mask `0` -- Supports multiple EOS tokens (can pass list) -- Uses cumulative sum trick: `(cumsum - mask).eq(0)` - -### 2.2 Usage in Single-Turn Rollout - -**File:** `/home/felipemello/forge/verl/verl/workers/rollout/sglang_rollout/sglang_rollout.py` (Lines 785-788) - -```python -response_attention_mask = get_response_mask( - response_id=response, eos_token=eos_token_id, dtype=attention_mask.dtype -) -attention_mask = torch.cat((attention_mask, response_attention_mask), dim=-1) -``` - -**For Multi-Turn (Lines 1309-1311):** -```python -response_loss_mask = pad_sequence(response_loss_mask, batch_first=True, padding_value=0) -if response_loss_mask.shape[1] < self.config.response_length: - response_loss_mask = pad_sequence_to_length(response_loss_mask, self.config.response_length, 0) -``` - ---- - -## 3. NO Suffix Stripping After EOS - -### 3.1 Truncation Logic - -**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` (Lines 658-673) - -```python -def truncate_output_ids( - self, processing_class: PreTrainedTokenizer | PreTrainedTokenizerFast | ProcessorMixin -) -> None: - self.input_ids = self.input_ids[..., : self.max_model_len] - self.attention_mask = self.attention_mask[..., : self.max_model_len] - self.position_ids = self.position_ids[..., : self.max_model_len] - self.loss_mask = self.loss_mask[..., : self.max_model_len] - self.response_ids = self.input_ids[..., self.prompt_ids.shape[-1] :][..., : self.max_response_len] - self.response_attention_mask = self.attention_mask[..., self.prompt_attention_mask.shape[-1] :][ - ..., : self.max_response_len - ] - self.response_position_ids = self.position_ids[..., self.prompt_position_ids.shape[-1] :][ - ..., : self.max_response_len - ] - self.response_loss_mask = self.loss_mask[..., self.prompt_loss_mask.shape[-1] :][..., : self.max_response_len] -``` - -**Observations:** -- Only truncates to `max_model_len` and `max_response_len` -- **NO checking for EOS token position** -- **NO removal of tokens after EOS** -- Tokens after EOS are naturally masked via `response_mask` - -### 3.2 Finalization Process - -**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` (Lines 551-648) - -```python -def finalize( - self, - processing_class: PreTrainedTokenizer | PreTrainedTokenizerFast | ProcessorMixin, - reward_scores: dict[str, list[float]], - finish_reason_type: FinishReasonTypeEnum = FinishReasonTypeEnum.STOP, -) -> None: - self.state = AsyncRolloutRequestStateEnum.COMPLETED - self.reward_scores = reward_scores - - # Remove generation prompt if present - self._remove_generation_prompt_ids_if_present() - - self.response_ids = self.input_ids[..., self.prompt_ids.shape[-1] :] - - # Tokenization sanity check (optional) - if self.tokenization_sanity_check_mode != TokenizationSanityCheckModeEnum.DISABLE: - # ... validation logic - - # Handle finish reason - if finish_reason_type == FinishReasonTypeEnum.STOP: - pass # No special handling - elif finish_reason_type == FinishReasonTypeEnum.LENGTH: - pass # No special handling - - self.truncate_output_ids(processing_class) # Only length truncation -``` - -**Key Points:** -- `STOP` finish reason: no special handling -- `LENGTH` finish reason: no special handling -- Only calls `truncate_output_ids()` which does NOT strip after EOS - ---- - -## 4. Chat Template Token Handling - -### 4.1 Incremental Tokenization Approach - -**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` (Lines 224-258) - -**Key Method: `_handle_apply_chat_template()`** -```python -@staticmethod -def _handle_apply_chat_template( - processing_class: PreTrainedTokenizer | PreTrainedTokenizerFast | ProcessorMixin, - messages: list[Message], - multi_modal_data: dict[str, Any], - tools: Optional[list[OpenAIFunctionToolSchema]] = None, - add_generation_prompt: bool = False, - tokenize: bool = False, - return_dict: bool = False, -): - raw_prompt = processing_class.apply_chat_template( - messages, tools=tools, add_generation_prompt=add_generation_prompt, tokenize=False - ) - if not tokenize: - return raw_prompt - - # Tokenize with processor or tokenizer - if isinstance(processing_class, ProcessorMixin): - images = images if len(images := multi_modal_data.get("image", [])) > 0 else None - videos = videos if len(videos := multi_modal_data.get("video", [])) > 0 else None - model_inputs = processing_class(text=[raw_prompt], images=images, videos=videos, return_tensors="pt") - else: - model_inputs = processing_class(text=[raw_prompt], return_tensors="pt") -``` - -**Usage Pattern:** -```python -# When adding a message, compute delta by using BASE_CHAT_HISTORY -messages = [*BASE_CHAT_HISTORY, self.messages[-1]] -content_ids = self._handle_apply_chat_template( - processing_class, messages, multi_modal_data={}, - tools=tools, add_generation_prompt=False, tokenize=True -)[..., self.base_conv_wo_gen_prompt_end_pos :] # Extract only the new tokens -``` - -**BASE_CHAT_HISTORY (Lines 31-34):** -```python -BASE_CHAT_HISTORY = [ - {"role": "system", "content": "You are a helpful assistant."}, - {"role": "user", "content": "I am a user."}, -] -``` - -### 4.2 Generation Prompt Handling - -**Lines 348-362:** -```python -def get_generation_prompt_ids( - self, processing_class: PreTrainedTokenizer | PreTrainedTokenizerFast | ProcessorMixin -) -> list[int]: - """ - Get the generation prompt ids for rollout engine. - """ - generation_prompt_ids = ( - None - if self.input_ids[..., -self.generation_prompt_ids.shape[-1] :].eq(self.generation_prompt_ids).all() - else self.generation_prompt_ids - ) - if generation_prompt_ids is not None: - self._update_input_ids(processing_class, generation_prompt_ids, - attention_mask=True, loss_mask=False) # Generation prompt NOT trained -``` - -**Generation Prompt Removal (Lines 541-549):** -```python -def _remove_generation_prompt_ids_if_present(self) -> None: - """ - Remove generation prompt IDs from input tensors if they are present at the end. - """ - if self.input_ids[..., -self.generation_prompt_ids.shape[-1] :].eq(self.generation_prompt_ids).all(): - self.input_ids = self.input_ids[..., : -self.generation_prompt_ids.shape[-1]] - self.attention_mask = self.attention_mask[..., : -self.generation_prompt_ids.shape[-1]] - self.position_ids = self.position_ids[..., : -self.generation_prompt_ids.shape[-1]] - self.loss_mask = self.loss_mask[..., : -self.generation_prompt_ids.shape[-1]] -``` - -### 4.3 Tokenization Sanity Check - -**File:** `/home/felipemello/forge/verl/verl/workers/rollout/schemas.py` (Lines 73-78, 566-640) - -**TokenizationSanityCheckModeEnum:** -```python -class TokenizationSanityCheckModeEnum(str, Enum): - DISABLE = "disable" - STRICT = "strict" - IGNORE_STRIPPABLE = "ignore_strippable" -``` - -**Validation Logic (Lines 566-640):** -```python -if self.tokenization_sanity_check_mode != TokenizationSanityCheckModeEnum.DISABLE: - # Compare full chat template tokenization vs incremental - full_prompt_ids = self._handle_apply_chat_template( - processing_class, messages, multi_modal_data=self.multi_modal_data, - tools=tools, add_generation_prompt=False, tokenize=True, return_dict=True - )["input_ids"] - - if diffs := self._get_prompt_diffs( - processing_class, full_prompt_ids, self.input_ids, diff_surrounding_chars=10 - ): - log_warning = False - if self.tokenization_sanity_check_mode == TokenizationSanityCheckModeEnum.STRICT: - log_warning = True - elif self.tokenization_sanity_check_mode == TokenizationSanityCheckModeEnum.IGNORE_STRIPPABLE: - non_strippable_diffs_exist = any( - d["full_prompt_chunk"].strip() or d["current_prompt_chunk"].strip() for d in diffs - ) - if non_strippable_diffs_exist: - log_warning = True -``` - -**Purpose:** -- Catches differences between full tokenization and incremental tokenization -- Useful for debugging chat template issues (e.g., extra newlines) -- `IGNORE_STRIPPABLE` mode allows whitespace-only differences - ---- - -## 5. SFT Dataset Loss Mask Creation - -**File:** `/home/felipemello/forge/verl/verl/utils/dataset/multiturn_sft_dataset.py` - -### 5.1 Processing Messages (Lines 133-209) - -**For Assistant Messages:** -```python -if is_assistant: - generation_prompt_text = prev_applied_text_w_generation_prompt[len(prev_applied_text) :] - generation_prompt_tokens = self.tokenizer.encode( - generation_prompt_text, - add_special_tokens=False, - ) - _message_tokens = self.tokenizer.encode( - cur_applied_text[len(prev_applied_text_w_generation_prompt) :], - add_special_tokens=False, - ) - message_tokens = generation_prompt_tokens + _message_tokens - loss_mask = [0] * (len(generation_prompt_tokens)) + [1] * ( - len(message_tokens) - len(generation_prompt_tokens) - ) -``` - -**For Other Messages:** -```python -else: - message_tokens = self.tokenizer.encode( - cur_applied_text[len(prev_applied_text) :], - add_special_tokens=False, - ) - loss_mask = [0] * len(message_tokens) -``` - -### 5.2 Override Loss Mask (Lines 312-319) - -```python -# override loss mask with mask in the dataset to handle multi-turn conversation -override_loss_mask = cur_messages.get("loss_mask", None) -if override_loss_mask is not None: - if isinstance(override_loss_mask, np.ndarray): - override_loss_mask = override_loss_mask.item() - assert isinstance(override_loss_mask, int), f"loss_mask should be int, got {type(override_loss_mask)}" - assert override_loss_mask in [0, 1], f"loss_mask should be 0 or 1, got {override_loss_mask}" - loss_mask = [override_loss_mask] * len(tokens) -``` - -**Features:** -- Allows per-message `loss_mask` override in dataset -- Useful for training only specific assistant turns - ---- - -## 6. Key Differences from Other Implementations - -### 6.1 No Explicit Suffix Removal - -**Unlike some implementations (e.g., OpenRLHF), VERL does NOT:** -- Check for tokens after EOS -- Strip suffix after EOS token -- Validate suffix length - -**Instead, VERL:** -- Relies on `response_mask` to mask tokens after EOS during loss computation -- Keeps all generated tokens in the sequence -- Masks them out via attention mask and loss mask - -### 6.2 Incremental Tokenization - -**VERL uses incremental tokenization:** -- Each new message is tokenized relative to previous messages -- Uses `BASE_CHAT_HISTORY` to compute token deltas -- Validates with optional tokenization sanity check - -**Benefits:** -- Explicit control over which tokens come from which messages -- Easy to assign loss masks per-message -- Handles multi-turn naturally - -### 6.3 Simple Masking Philosophy - -**Core principle:** -``` -loss_mask[i] = 1 if token i should contribute to loss - = 0 otherwise -``` - -**Applied to:** -- User messages: `loss_mask=0` (not trained) -- Assistant messages: `loss_mask=1` (trained) -- Tool responses: `loss_mask=0` (not trained) -- Tokens after EOS: `response_mask=0` (via `get_response_mask()`) - ---- - -## 7. Code Flow Summary - -### 7.1 Multi-Turn Rollout Flow - -``` -1. Initialize AsyncRolloutRequest - └─> loss_mask = zeros (all prompt tokens) - -2. For each turn: - - a. Generate assistant response - └─> SGLang engine generates tokens - - b. Add assistant message - └─> add_assistant_message(content, content_ids) - └─> _update_input_ids(..., loss_mask=True) - └─> Concatenate with loss_mask=1 for assistant tokens - - c. If tool call: - └─> Execute tool - └─> add_tool_response_messages(tool_responses) - └─> _update_input_ids(..., loss_mask=False) - └─> Concatenate with loss_mask=0 for tool tokens - - d. If interaction: - └─> add_user_message(content) - └─> _update_input_ids(..., loss_mask=False) - └─> Concatenate with loss_mask=0 for user tokens - -3. Finalize request - └─> finalize() - └─> Remove generation prompt if present - └─> Truncate to max_model_len - └─> Create response_loss_mask from loss_mask - -4. Create batch data - └─> Pad sequences - └─> response_mask from response_loss_mask -``` - -### 7.2 Loss Computation Flow - -``` -1. During training (PPO/SFT): - - a. Forward pass - └─> logits = model(input_ids, attention_mask) - - b. Compute loss - └─> loss = criterion(logits, labels) - └─> loss = loss * loss_mask # Mask out non-assistant tokens - └─> loss = loss * response_mask # Mask out tokens after EOS - - c. Average - └─> loss = loss.sum() / response_mask.sum() -``` - ---- - -## 8. File Reference Index - -### Core Files - -1. **`/home/felipemello/forge/verl/verl/workers/rollout/schemas.py`** - - `AsyncRolloutRequest` class (Lines 81-673) - - `_update_input_ids()` (Lines 299-334) - - `add_user_message()` (Lines 379-393) - - `add_assistant_message()` (Lines 395-412) - - `add_tool_response_messages()` (Lines 414-474) - - `finalize()` (Lines 551-657) - - `truncate_output_ids()` (Lines 658-673) - -2. **`/home/felipemello/forge/verl/verl/workers/rollout/sglang_rollout/sglang_rollout.py`** - - `_async_rollout_a_request()` (Lines 807-1051) - - `_req_level_generate_sequences()` (Lines 1103-1360) - - Response mask creation (Lines 785-788, 1309-1311) - -3. **`/home/felipemello/forge/verl/verl/utils/torch_functional.py`** - - `get_response_mask()` (Lines 226-246) - -4. **`/home/felipemello/forge/verl/verl/utils/dataset/multiturn_sft_dataset.py`** - - `MultiTurnSFTDataset` class (Lines 47-392) - - `_process_message_tokens()` (Lines 133-209) - - Override loss mask (Lines 312-319) - -### Supporting Files - -5. **`/home/felipemello/forge/verl/verl/workers/rollout/hf_rollout.py`** - - Single-turn rollout example (Lines 99-161) - -6. **`/home/felipemello/forge/verl/verl/trainer/ppo/core_algos.py`** - - GAE computation with response_mask (Lines 223-233, 605-615) - ---- - -## 9. Conclusions - -### What VERL Does - -1. **Incremental Loss Mask Creation:** - - Loss masks are built up incrementally as messages are added - - Each message type has a specific loss_mask value - - Assistant messages: trained (mask=1) - - User/tool messages: not trained (mask=0) - -2. **EOS Token Handling:** - - Uses `get_response_mask()` to create mask with 0s after first EOS - - **NO explicit suffix stripping** - - Tokens after EOS remain in sequence but are masked - - Supports multiple EOS tokens - -3. **Chat Template Tokens:** - - Handled through incremental `apply_chat_template()` calls - - Generation prompt tokens explicitly managed - - Optional tokenization sanity check validates consistency - -### What VERL Does NOT Do - -1. **NO suffix length checking** after EOS -2. **NO explicit truncation** at EOS position -3. **NO special handling** of tokens after EOS beyond masking -4. **NO stripping** of padding tokens after EOS - -### Design Philosophy - -VERL's approach is **simple and mask-based**: -- Generate full sequences (including tokens after EOS) -- Use masks to control which tokens contribute to loss -- Rely on attention masks and loss masks rather than sequence manipulation -- Keep sequences intact for easier debugging and validation - -This differs from approaches that actively remove or strip tokens after EOS, which can be more complex but may save memory. - ---- - -## 10. Comparison to Your Implementation - -**Your current approach (based on previous discussions):** -- Strips tokens after EOS using `cut_by_token_indices_based_on_suffix_length()` -- Explicitly checks suffix length after EOS -- Validates that no content appears after EOS - -**VERL's approach:** -- Keeps all tokens after EOS -- Masks them via `response_mask` -- No explicit suffix validation - -**Key Question:** -Should you adopt VERL's simpler masking approach, or continue with explicit suffix stripping? - -**Trade-offs:** - -| Aspect | VERL (Masking) | Your Approach (Stripping) | -|--------|----------------|---------------------------| -| Simplicity | ✅ Simpler | ❌ More complex | -| Memory | ❌ Stores unused tokens | ✅ Removes unused tokens | -| Debugging | ✅ Full sequence visible | ❌ Truncated sequence | -| Validation | ❌ No suffix checks | ✅ Explicit validation | -| Multi-turn | ✅ Natural fit | ⚠️ Requires care | - -**Recommendation:** -For multi-turn conversations, VERL's masking approach is likely **simpler and less error-prone**. Consider adopting it unless memory is a critical constraint. diff --git a/dummy.py b/dummy.py deleted file mode 100644 index f2894278c..000000000 --- a/dummy.py +++ /dev/null @@ -1,110 +0,0 @@ -#!/usr/bin/env python3 -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Test script to verify OpenSpiel metadata extraction is working. - -Usage: - python dummy.py -""" - -import sys - -sys.path.insert(0, "/home/felipemello/OpenEnv/src") - -from envs.openspiel_env.models import OpenSpielAction -from envs.openspiel_env.server.openspiel_environment import OpenSpielEnvironment - - -def test_direct_env(): - """Test using OpenSpielEnvironment directly (no HTTP server).""" - print("=" * 60) - print("TEST 1: Direct OpenSpielEnvironment (no server)") - print("=" * 60) - - env = OpenSpielEnvironment( - game_name="blackjack", agent_player=0, opponent_policy="random" - ) - - # Reset - obs = env.reset() - print(f"\n[DIRECT] Initial observation:") - print(f" legal_actions: {obs.legal_actions}") - print(f" metadata: {obs.metadata}") - print(f" done: {obs.done}") - - # Play one step - if not obs.done: - action_id = obs.legal_actions[0] - action = OpenSpielAction(action_id=action_id, game_name="blackjack") - obs = env.step(action) - print(f"\n[DIRECT] After step 1:") - print(f" legal_actions: {obs.legal_actions}") - print(f" metadata: {obs.metadata}") - print(f" done: {obs.done}") - - -def test_http_env(): - """Test using OpenSpielEnv via HTTP client.""" - print("\n" + "=" * 60) - print("TEST 2: OpenSpielEnv via HTTP (using server)") - print("=" * 60) - - from envs.openspiel_env import OpenSpielEnv - - env = OpenSpielEnv(base_url="http://localhost:9000") - # Bypass proxy - env._http.trust_env = False - - try: - # Reset - result = env.reset() - obs = result.observation - print(f"\n[HTTP] Initial observation:") - print(f" legal_actions: {obs.legal_actions}") - print(f" metadata: {obs.metadata}") - print(f" done: {obs.done}") - - # Play one step - if not obs.done: - action_id = obs.legal_actions[0] - action = OpenSpielAction(action_id=action_id, game_name="blackjack") - result = env.step(action) - obs = result.observation - print(f"\n[HTTP] After step 1:") - print(f" legal_actions: {obs.legal_actions}") - print(f" metadata: {obs.metadata}") - print(f" done: {obs.done}") - - env.close() - except Exception as e: - print(f"\n[HTTP ERROR] {type(e).__name__}: {e}") - import traceback - - traceback.print_exc() - - -def main(): - print("\nTesting OpenSpiel metadata extraction...\n") - - # Test 1: Direct environment (should work with our fix) - test_direct_env() - - # Test 2: HTTP environment (depends on server having the fix) - test_http_env() - - print("\n" + "=" * 60) - print("COMPARISON:") - print("=" * 60) - print("If both tests show metadata with player_total and dealer_card,") - print("then the server is using the updated code.") - print("If only DIRECT test works, the server needs to be restarted.") - print("=" * 60) - - -if __name__ == "__main__": - main() diff --git a/next_token_prediction_fix.md b/next_token_prediction_fix.md deleted file mode 100644 index 39100f709..000000000 --- a/next_token_prediction_fix.md +++ /dev/null @@ -1,623 +0,0 @@ -# Multi-Turn Training with Masks: Same-Shape Approach - -## The Problem - -**Old approach (single-turn):** -```python -# Works only for single turn where response starts at fixed position -response = all_tokens[prompt_len:] -``` - -**New approach (multi-turn):** -``` -Conversation: [system] [user] [agent] [tool] [agent] [user] [agent] -Train only on: ^^^^^^ ^^^^^^ ^^^^^^ -``` - -We need masks to identify which tokens are agent responses across multiple turns. - -**Key principle:** -- **Keep everything the same shape `[seq_len]`** -- Use `response_mask` to mark agent tokens -- Use `IGNORE_INDEX` in targets for non-agent positions -- Let PyTorch's cross_entropy handle the masking - ---- - -## Current Bugs - -### Bug 1: reference_model.py -```python -# WRONG: Assumes single-turn, response starts at max_req_tokens -logprobs = compute_logprobs(logits, input_ids[:, max_req_tokens:]) -``` - -### Bug 2: main_v2.py continuous_rollouts -```python -# WRONG: Slicing instead of using full-sequence masks -ref_logprobs_padded = await ref_model.forward.route(input_ids, 0, return_logprobs=True) -for i, episode in enumerate(episodes): - seq_len = len(episode.all_token_ids) - episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] -``` - -### Bug 3: main_v2.py simple_grpo_loss -```python -# WRONG: For loop over batch, not tensorized -for i in range(batch_size): - mask_i = response_mask[i] == 1 - ... -``` - ---- - -## Design Principles - -1. **Same shape everywhere**: All tensors are `[seq_len]`, pad to `[batch, max_seq_len]` in collate -2. **Use bool masks**: `response_mask` is `dtype=torch.bool` to avoid `== 1` comparisons -3. **IGNORE_INDEX for masking**: Set `targets[i] = IGNORE_INDEX` where position i is not a response -4. **Tensorized operations**: No for loops over batch dimension in loss function - ---- - -## Solution - -### Constants - -Add to main_v2.py: -```python -IGNORE_INDEX = -100 # PyTorch cross_entropy default -``` - ---- - -### 1. Create Targets for Full Sequence - -**Add utility function to main_v2.py:** - -```python -def create_next_token_targets( - all_token_ids: torch.Tensor, # [seq_len] - response_mask: torch.Tensor, # [seq_len] bool -) -> torch.Tensor: - """ - Create next-token prediction targets for full sequence. - - For next-token prediction: - - logits[:, i] predicts tokens[:, i+1] - - targets[i] = all_token_ids[i+1] if position i+1 is a response token - - targets[i] = IGNORE_INDEX otherwise - - Args: - all_token_ids: All conversation tokens [seq_len] - response_mask: Boolean mask, True for agent response tokens [seq_len] - - Returns: - targets: [seq_len] where: - - targets[i] = all_token_ids[i+1] if response_mask[i+1] is True - - targets[i] = IGNORE_INDEX otherwise - """ - targets = torch.full_like(all_token_ids, IGNORE_INDEX) - - # Shift: targets[i] should predict all_token_ids[i+1] - targets[:-1] = all_token_ids[1:] - - # Mask: Only keep targets where the predicted token is a response - # If response_mask[i+1] is False, set targets[i] = IGNORE_INDEX - targets[:-1][~response_mask[1:]] = IGNORE_INDEX - targets[-1] = IGNORE_INDEX # Last position has nothing to predict - - return targets -``` - ---- - -### 2. Update Episode Dataclass - -**main_v2.py - Episode:** - -```python -@dataclass -class Episode: - """Episode data for GRPO training (multi-turn structure).""" - - # Required fields - ALL same shape [seq_len] - episode_id: str - all_token_ids: torch.Tensor # All tokens [seq_len] - response_mask: torch.Tensor # Boolean mask: True = agent token [seq_len] - targets: torch.Tensor # Next-token targets with IGNORE_INDEX [seq_len] - reward: float - - # Optional fields - task_name: str = "blackjack" - generator_version: int = 0 - is_truncated: bool = False - logprobs: torch.Tensor | None = None # vLLM logprobs [seq_len] (optional) - ref_logprobs: torch.Tensor | None = None # Ref model logprobs [seq_len] - advantage: float | None = None - metadata: dict[str, Any] = field(default_factory=dict) - message_log: list[dict[str, str]] | None = None -``` - -**Key changes:** -- `response_mask` is now `torch.bool` dtype -- `targets` is a required field, same shape as `all_token_ids` -- All core tensors are `[seq_len]` - ---- - -### 3. do_single_rollout - Create Episode with Targets - -**main_v2.py - do_single_rollout (around line 765):** - -Replace the episode creation section: - -```python -# ============ Create episode ============ -print(f"\n[do_single_rollout] Creating episode {game_id}") - -# Convert to tensors -all_tokens_tensor = torch.tensor(accumulator.accumulated_tokens, dtype=torch.long) -response_mask_tensor = torch.tensor(accumulator.response_mask, dtype=torch.bool) # bool dtype -logprobs_tensor = torch.tensor(accumulator.logprobs, dtype=torch.float) - -# Create targets for full sequence -targets_tensor = create_next_token_targets(all_tokens_tensor, response_mask_tensor) - -print(f" Total tokens: {len(all_tokens_tensor)}") -print(f" Response tokens: {response_mask_tensor.sum().item()}") -print(f" Response ratio: {response_mask_tensor.float().mean().item():.2%}") - -return Episode( - episode_id=game_id, - task_name="blackjack", - generator_version=generator_version, - is_truncated=accumulator.is_truncated, - all_token_ids=all_tokens_tensor, # [seq_len] - response_mask=response_mask_tensor, # [seq_len] bool - targets=targets_tensor, # [seq_len] with IGNORE_INDEX - reward=final_reward, - logprobs=logprobs_tensor, # [seq_len] from vLLM - message_log=accumulator.messages.copy(), - metadata={ - "truncation_reason": ( - accumulator.truncation_reason.value - if accumulator.truncation_reason - else None - ), - "hit_max_turns": hit_max_turns, - "num_turns": turn_num, - "num_response_tokens": response_mask_tensor.sum().item(), - **(result.metadata if "result" in locals() else {}), - }, -) -``` - ---- - -### 4. Update compute_logprobs (No Mask Parameter) - -**forge/util/ops.py - Keep existing compute_logprobs, no changes needed** - -The existing `compute_logprobs` function works fine. We'll just use it with full sequences. - -**In reference_model.py, we'll call it like:** -```python -# Compute logprobs for full sequence -logprobs = compute_logprobs(logits, input_ids, align=False) # [batch, seq_len] -``` - -No new function needed! The masking happens via IGNORE_INDEX in targets. - ---- - -### 5. Update ReferenceModel.forward - -**forge/actors/reference_model.py - forward endpoint:** - -Replace the entire forward method (lines 128-194): - -```python -@endpoint -async def forward( - self, - input_ids: torch.Tensor, # [batch, seq_len] - return_logprobs: bool -) -> torch.Tensor: - """ - Forward pass through reference model. - - Args: - input_ids: Input token ids [batch, seq_len] - return_logprobs: Whether to return log probabilities - - Returns: - If return_logprobs=False: logits [batch, seq_len, vocab_size] - If return_logprobs=True: logprobs [batch, seq_len] - """ - # Record reference model metrics - record_metric("reference_perf/forward/count_forward_passes", 1, Reduce.SUM) - record_metric( - "reference_perf/forward/avg_sequence_length", - input_ids.shape[1], - Reduce.MEAN, - ) - - t = Tracer("reference_perf/forward", timer="gpu", track_memory=True) - t.start() - self.engine.gc_handler.run(self.step) - t.step("garbage_collection") - - input_ids = input_ids.to("cuda") - t.step("to_device") - - optional_context_parallel_ctx = None - if self.engine.parallel_dims.pp_enabled: - raise NotImplementedError("PP not implemented yet") - else: - with self.engine.train_context(optional_context_parallel_ctx): - with self.engine.maybe_enable_amp: - with torch.inference_mode(): - logits = self.model(input_ids) - - self.step += 1 - if isinstance(logits, DTensor): - logits = logits.full_tensor() - t.step("forward") - - if not return_logprobs: - t.stop() - return logits - else: - # Compute logprobs for full sequence - # Use align=False since we're passing the same sequence we used for forward - logprobs = compute_logprobs(logits, input_ids, align=False) - - t.step("compute_logprobs") - t.stop() - return logprobs -``` - -**Changes:** -- Removed `max_req_tokens` parameter (single-turn assumption) -- Removed mask parameter (masking handled via IGNORE_INDEX in targets) -- Returns `[batch, seq_len]` tensor (same shape as input) -- Uses existing `compute_logprobs` function with `align=False` - ---- - -### 6. Update continuous_rollouts - -**main_v2.py - continuous_rollouts (lines 1190-1232):** - -Replace the ref_model section: - -```python -# ============ Step 4: Compute ref_model ============ -print(f"\n[continuous_rollouts] Preparing ref_model input") -max_len = max(len(e.all_token_ids) for e in episodes) -print(f" Max episode length: {max_len}") - -# Pad input_ids -padded_input_ids = [] - -for i, e in enumerate(episodes): - seq_len = len(e.all_token_ids) - pad_len = max_len - seq_len - - print(f" Episode {i}: tokens={seq_len}, response_tokens={e.response_mask.sum().item():.0f}") - - # Pad tokens - padded_tokens = F.pad(e.all_token_ids, (0, pad_len), value=pad_id) - padded_input_ids.append(padded_tokens) - -input_ids = torch.stack(padded_input_ids) # [batch, max_len] - -print(f" input_ids shape: {input_ids.shape}") - -# Call ref_model - returns [batch, max_len] -ref_logprobs_padded = await ref_model.forward.route( - input_ids, - return_logprobs=True -) - -t.step("reference_model_calculate_logprobs") - -# Assign ref_logprobs to episodes (unpad to original length) -for i, episode in enumerate(episodes): - seq_len = len(episode.all_token_ids) - episode.ref_logprobs = ref_logprobs_padded[i, :seq_len] # [seq_len] - print(f" Episode {i} ref_logprobs shape: {episode.ref_logprobs.shape}") - - # Verify shape matches other tensors - assert episode.ref_logprobs.shape == episode.targets.shape == episode.all_token_ids.shape, \ - f"Shape mismatch in episode {i}" - -del ref_logprobs_padded, input_ids -``` - -**Key changes:** -- Only pad input_ids (no mask needed) -- Call ref_model with just input_ids -- Receive `[batch, max_len]` tensor back -- Unpad to original sequence length for each episode - ---- - -### 7. Update collate - -**main_v2.py - collate function (lines 880-948):** - -Replace entire function: - -```python -def collate( - batches: list[list[Episode]], -) -> tuple[list[dict[str, Any]], list[dict[str, Any]]]: - """ - Collates a list of batches (groups) into inputs and targets. - - All tensors are padded to max_seq_len within each batch. - - Args: - batches: List of groups, where each group is a list of Episodes - - Returns: - (inputs, targets) for training - """ - inputs = [] - targets_list = [] - - for batch in batches: - # Find max sequence length in this batch - max_seq_len = max(len(e.all_token_ids) for e in batch) - - pad_id = 0 # For token padding - - # Collect batch data - all_tokens = [] - response_masks = [] - targets_batch = [] - ref_logprobs_batch = [] - advantages_list = [] - - for e in batch: - seq_len = len(e.all_token_ids) - pad_len = max_seq_len - seq_len - - # Pad all_token_ids - padded_tokens = F.pad( - e.all_token_ids, - (0, pad_len), - value=pad_id - ) - all_tokens.append(padded_tokens) - - # Pad response_mask (False for padding) - padded_mask = F.pad( - e.response_mask, - (0, pad_len), - value=False - ) - response_masks.append(padded_mask) - - # Pad targets (IGNORE_INDEX for padding) - padded_targets = F.pad( - e.targets, - (0, pad_len), - value=IGNORE_INDEX - ) - targets_batch.append(padded_targets) - - # Pad ref_logprobs (0.0 for padding, but ignored via IGNORE_INDEX) - padded_ref_logprobs = F.pad( - e.ref_logprobs, - (0, pad_len), - value=0.0 - ) - ref_logprobs_batch.append(padded_ref_logprobs) - - # Advantage is scalar - advantages_list.append(e.advantage) - - # Stack everything - all_tokens_tensor = torch.stack(all_tokens) # [b, max_seq_len] - response_mask = torch.stack(response_masks) # [b, max_seq_len] - targets_tensor = torch.stack(targets_batch) # [b, max_seq_len] - ref_logprobs_tensor = torch.stack(ref_logprobs_batch) # [b, max_seq_len] - advantages = torch.tensor(advantages_list).unsqueeze(-1) # [b, 1] - - # Input: full conversation tokens - input = {"tokens": all_tokens_tensor} - - # Target: all data with same shape [b, max_seq_len] - target = { - "targets": targets_tensor, # [b, max_seq_len] - "ref_logprobs": ref_logprobs_tensor, # [b, max_seq_len] - "advantages": advantages, # [b, 1] - "response_mask": response_mask, # [b, max_seq_len] bool (for metrics) - } - - inputs.append(input) - targets_list.append(target) - - return inputs, targets_list -``` - -**Key changes:** -- Everything padded to `max_seq_len` (only one max length) -- `response_mask` padded with `False` -- `targets` padded with `IGNORE_INDEX` -- All tensors have shape `[batch, max_seq_len]` - ---- - -### 8. Update simple_grpo_loss (Tensorized, No For Loops) - -**main_v2.py - simple_grpo_loss (lines 951-981):** - -Replace entire function: - -```python -def simple_grpo_loss( - logits: torch.Tensor, # [b, seq_len, v] - targets: torch.Tensor, # [b, seq_len] - ref_logprobs: torch.Tensor, # [b, seq_len] - advantages: torch.Tensor, # [b, 1] - response_mask: torch.Tensor, # [b, seq_len] bool - beta: float = 0.1, -) -> torch.Tensor: - """ - Simple GRPO loss with multi-turn masking (fully tensorized). - - Args: - logits: Model logits [b, seq_len, vocab_size] - targets: Next-token targets [b, seq_len] with IGNORE_INDEX for non-response - ref_logprobs: Reference logprobs [b, seq_len] - advantages: Advantages [b, 1] - response_mask: Boolean mask for response positions [b, seq_len] - beta: KL penalty coefficient - - Returns: - Loss scalar - """ - batch_size, seq_len, vocab_size = logits.shape - - # Shift for next-token prediction - # logits[:, i] predicts tokens[:, i+1] - shifted_logits = logits[:, :-1, :] # [b, seq_len-1, vocab] - shifted_targets = targets[:, 1:] # [b, seq_len-1] - shifted_ref_logprobs = ref_logprobs[:, 1:] # [b, seq_len-1] - - # Compute policy logprobs (IGNORE_INDEX positions are automatically masked) - logprobs = -F.cross_entropy( - shifted_logits.reshape(-1, vocab_size), - shifted_targets.reshape(-1).long(), - reduction="none", - ignore_index=IGNORE_INDEX, - ).reshape(batch_size, seq_len - 1) - - # Create mask from targets (True where we have valid targets) - mask = (shifted_targets != IGNORE_INDEX).float() # [b, seq_len-1] - - # KL divergence (only computed where mask is True, but safe to compute everywhere) - kl = torch.exp(shifted_ref_logprobs - logprobs) - (shifted_ref_logprobs - logprobs) - 1 - - # Policy loss - per_token_policy_loss = torch.exp(logprobs - logprobs.detach()) * advantages - per_token_loss = -(per_token_policy_loss - beta * kl) - - # Masked average (fully tensorized) - loss = (per_token_loss * mask).sum() / mask.sum().clamp(min=1.0) - - return loss -``` - -**Key changes:** -- **Fully tensorized**: No for loops over batch dimension -- Shift all tensors for next-token prediction -- Use `IGNORE_INDEX` for automatic masking in cross_entropy -- Create mask from targets for KL and policy loss -- Single global average (not per-sample) - ---- - -## Summary of All Changes - -| File | Function/Class | Change | -|------|----------------|--------| -| `main_v2.py` | Constants | Add `IGNORE_INDEX = -100` | -| `main_v2.py` | NEW | Add `create_next_token_targets()` | -| `main_v2.py` | Episode | `response_mask` is bool, `targets` is required, all `[seq_len]` | -| `main_v2.py` | do_single_rollout | Create targets, use bool mask | -| `main_v2.py` | continuous_rollouts | Remove mask parameter to ref_model | -| `main_v2.py` | collate | Pad everything to max_seq_len | -| `main_v2.py` | simple_grpo_loss | Fully tensorized, shift tensors, use IGNORE_INDEX | -| `ops.py` | - | No changes needed | -| `reference_model.py` | forward | Remove max_req_tokens, return full sequence | - ---- - -## Shape Flow Example - -**Episode creation:** -``` -all_token_ids: [250] (system + user1 + agent1 + user2 + agent2) -response_mask: [250] (bool: True for agent tokens) -targets: [250] (shifted, with IGNORE_INDEX for non-agent) -ref_logprobs: [250] (computed later, full sequence) -``` - -**In collate (batch of 4 episodes):** -``` -max_seq_len = 250 - -Input: - tokens: [4, 250] - -Target: - targets: [4, 250] (with IGNORE_INDEX) - ref_logprobs: [4, 250] (0.0 for non-response, ignored via IGNORE_INDEX) - advantages: [4, 1] - response_mask: [4, 250] (bool, for metrics/debugging) -``` - -**In loss:** -``` -logits: [4, 250, vocab_size] (from model) -Shift: - shifted_logits: [4, 249, vocab_size] - shifted_targets: [4, 249] - -Compute loss only where shifted_targets != IGNORE_INDEX -``` - ---- - -## Testing - -1. **Shape assertions:** -```python -# After episode creation -assert episode.all_token_ids.shape == episode.response_mask.shape == episode.targets.shape -assert episode.response_mask.dtype == torch.bool - -# After ref_model -assert episode.ref_logprobs.shape == episode.all_token_ids.shape - -# After collate -assert targets.shape == ref_logprobs.shape == (batch_size, max_seq_len) -``` - -2. **Value checks:** -```python -# Targets should have IGNORE_INDEX for non-response positions -# For response positions: targets[i] = all_token_ids[i+1] -response_positions = torch.where(response_mask)[0] -for pos in response_positions[:-1]: # Exclude last position - if pos + 1 < len(all_token_ids) and response_mask[pos + 1]: - # Next token is also a response, should not be IGNORE_INDEX - assert targets[pos] != IGNORE_INDEX -``` - ---- - -## Breaking Changes - -**ref_model.forward API:** - -**Before:** -```python -ref_logprobs = await ref_model.forward.route( - input_ids, max_req_tokens=0, return_logprobs=True -) # Returns: [batch, variable_response_len] -``` - -**After:** -```python -ref_logprobs = await ref_model.forward.route( - input_ids, return_logprobs=True -) # Returns: [batch, seq_len] (full sequence) -``` - -All callers of ref_model must be updated. diff --git a/out.txt b/out.txt deleted file mode 100644 index 344501f54..000000000 --- a/out.txt +++ /dev/null @@ -1,62949 +0,0 @@ -Warning: setting HYPERACTOR_CODEC_MAX_FRAME_LENGTH since this needs to be set to enable large RPC calls via Monarch -INFO 11-19 07:50:23 [__init__.py:235] Automatically detected platform cuda. -Starting OpenSpiel server 0 for game 'blackjack' on port 9000... -Using game string: blackjack -[SERVER] Starting uvicorn for game 'blackjack' on port 9000 -INFO: Started server process [3539366] -INFO: Waiting for application startup. -INFO: Application startup complete. -INFO: Uvicorn running on http://0.0.0.0:9000 (Press CTRL+C to quit) -Waiting for 1 OpenSpiel servers to be ready... -[DEBUG] Server 0 health check attempt 1 failed: ConnectionError -✓ OpenSpiel server 0 ready on port 9000 (took 2s) -Launcher not provided, remote allocations will not work. -wandb: Currently logged in as: felipemello (cabernet-team) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin -wandb: setting up run o4d5i6sg -wandb: Tracking run with wandb version 0.23.0 -wandb: Run data is saved locally in /home/felipemello/forge/wandb/run-20251119_075029-o4d5i6sg -wandb: Run `wandb offline` to turn off syncing. -wandb: Syncing run sunny-disco-70 -wandb: ⭐️ View project at https://wandb.ai/cabernet-team/blackjack-grpo -wandb: 🚀 View run at https://wandb.ai/cabernet-team/blackjack-grpo/runs/o4d5i6sg -wandb: Detected [openai] in use. -wandb: Use W&B Weave for improved LLM call tracing. Install Weave with `pip install weave` then add `import weave` to the top of your script. -wandb: For more information, check out the docs at: https://weave-docs.wandb.ai/ -Spawning actor EnvironmentActor -Spawning service Generator -Spawning actor TitanTrainer -Spawning actor ReplayBuffer -Spawning actor ComputeAdvantages -Spawning service ReferenceModel -[TitanTrainer-0/1] 2025-11-19 07:50:44 INFO Compiling loss -[TitanTrainer-0/1] 2025-11-19 07:50:47 INFO Building 0-D device mesh with [], [] -[TitanTrainer-0/1] 2025-11-19 07:50:47 INFO [GC] Initial GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:50:48 INFO Total parameter count: dense 2,031,739,904, sparse 0, active 2,031,739,904 -[TitanTrainer-0/1] 2025-11-19 07:50:48 INFO Applied selective activation checkpointing to the model -NCCL version 2.27.5+cuda12.9 -[TitanTrainer-0/1] 2025-11-19 07:50:50 INFO Checkpointing active. Checkpoints will be loaded from and saved to ./checkpoint -[TitanTrainer-0/1] 2025-11-19 07:50:50 INFO Mixed precision training is handled by AMP -[TitanTrainer-0/1] 2025-11-19 07:50:50 INFO loading from HF safetensors from --checkpoint.initial_load_path: /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e -[TitanTrainer-0/1] 2025-11-19 07:50:50 INFO Loading the checkpoint from /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e. -INFO 11-19 07:50:50 [__init__.py:235] Automatically detected platform cuda. -[TitanTrainer-0/1] 2025-11-19 07:50:50 INFO [GC] GC collection for checkpoint loading. took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:50:50 INFO Finished loading the checkpoint in 0.86 seconds. -[ReferenceModel-0/1] 2025-11-19 07:50:51 INFO Building 0-D device mesh with [], [] -[ReferenceModel-0/1] 2025-11-19 07:50:51 INFO [GC] Initial GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:50:52 INFO Total parameter count: dense 2,031,739,904, sparse 0, active 2,031,739,904 -[ReferenceModel-0/1] 2025-11-19 07:50:52 INFO Applied selective activation checkpointing to the model -NCCL version 2.27.5+cuda12.9 -[ReferenceModel-0/1] 2025-11-19 07:50:52 INFO Checkpointing active. Checkpoints will be loaded from and saved to -[ReferenceModel-0/1] 2025-11-19 07:50:52 INFO Mixed precision training is handled by AMP -[ReferenceModel-0/1] 2025-11-19 07:50:52 INFO loading from HF safetensors from --checkpoint.initial_load_path: /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e -[ReferenceModel-0/1] 2025-11-19 07:50:52 INFO Loading the checkpoint from /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e. -[ReferenceModel-0/1] 2025-11-19 07:50:53 INFO [GC] GC collection for checkpoint loading. took 0.04 seconds -[ReferenceModel-0/1] 2025-11-19 07:50:53 INFO Finished loading the checkpoint in 0.74 seconds. -`torch_dtype` is deprecated! Use `dtype` instead! -INFO 11-19 07:50:57 [config.py:1604] Using max model len 40960 -INFO 11-19 07:50:58 [config.py:2434] Chunked prefill is enabled with max_num_batched_tokens=16384. -INFO 11-19 07:51:00 [__init__.py:235] Automatically detected platform cuda. -WARNING 11-19 07:51:01 [multiproc_worker_utils.py:307] Reducing Torch parallelism from 192 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. -[W1119 07:51:03.418535756 ProcessGroupNCCL.cpp:924] Warning: TORCH_NCCL_AVOID_RECORD_STREAMS is the default now, this environment variable is thus deprecated. (function operator()) -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -INFO 11-19 07:51:03 [parallel_state.py:1102] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 -WARNING 11-19 07:51:03 [topk_topp_sampler.py:59] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer. -INFO 11-19 07:51:03 [gpu_model_runner.py:1843] Starting to load model Qwen/Qwen3-1.7B... -INFO 11-19 07:51:04 [gpu_model_runner.py:1875] Loading model from scratch... -INFO 11-19 07:51:04 [cuda.py:290] Using Flash Attention backend on V1 engine. -INFO 11-19 07:51:05 [weight_utils.py:296] Using model weights format ['*.safetensors'] - Loading safetensors checkpoint shards: 0% Completed | 0/2 [00:00 tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 0] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 7/8 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 1] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 8 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=0 - -================================================================================ -[ROLLOUT 2] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 19 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 2 - [2] assistant : HIT - [3] user : Hand: 21, Dealer: 2 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100 -✓ 16/17 trainable positions have valid targets -[TRAINING] Step 0: Starting training -[BUFFER ADD] Added 4/4 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 3] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 7/8 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 4] Episode 0 Debug Info[ReferenceModel-0/1] 2025-11-19 07:51:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:51:51 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:51:51 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:51:52 INFO [GC] Performing periodic GC collection took 0.00 seconds -/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/torch/cuda/memory.py:491: FutureWarning: torch.cuda.reset_max_memory_allocated now calls torch.cuda.reset_peak_memory_stats, which resets /all/ peak memory stats. - warnings.warn( -[TitanTrainer-0/1] 2025-11-19 07:51:52 INFO Pushing weights for policy version 1 - -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 229, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 7/8 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=0 - -================================================================================ -[ROLLOUT 5] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 7/8 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 6] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=0 - -================================================================================ -[ROLLOUT 7] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 19 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 3 - [2] assistant : HIT - [3] user : Hand: 19, Dealer: 3 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100 -✓ 16/17 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=0 - -================================================================================ -[ROLLOUT 8] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 19 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 7 - [2] assistant : HIT - [3] user : Hand: 20, Dealer: 7 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:51:53 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:51:54 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:51:54 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100 -✓ 16/17 trainable positions have valid targets -[ROLLOUT 8] ⚠️ DROPPED GROUP - All 4 episodes have same reward: 3.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 9] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 229, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 7/8 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 10] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 11] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 3 -Total tokens: 291, Trainable tokens: 27 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 4 - [2] assistant : HIT - [3] user : Hand: 12, Dealer: 4 - [4] assistant : HIT - [5] user : Hand: 15, Dealer: 4 - [6] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -HIT<|im_end|> -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 4 non-trainable positions have target=-100 -✓ 23/24 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=0 - -================================================================================ -[ROLLOUT 12] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 3 -Total tokens: 292, Trainable tokens: 28 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 4, Dealer: 3 - [2] assistant : HIT - [3] user : Hand: 11, Dealer: 3 - [4] assistant : HIT - [5] user : Hand: 21, Dealer: 3 - [6] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 4, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:51:55 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:51:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:51:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:51:56 INFO Completed weights push in 3.64 seconds -[Generator-0/1] 2025-11-19 07:51:56 INFO [Generator] Fetching weights for v1 to shared memory -INFO 11-19 07:51:59 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:51:59 INFO Weight update completed (now v1) - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 4 non-trainable positions have target=-100 -✓ 24/25 trainable positions have valid targets -[ROLLOUT 12] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -1.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 13] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 6 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=0 - -================================================================================ -[ROLLOUT 14] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 19 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 5 - [2] assistant : HIT - [3] user : Hand: 19, Dealer: 5 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100 -✓ 16/17 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 15] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 264, Trainable tokens: 19 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 20, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100 -✓ 16/17 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=0 -WandbBackend: Logged 95 metrics at step 1 -=== [global_reduce] - METRICS STEP 1 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 56.0 - buffer/episodes_accepted: 56.0 - buffer/episodes_generated: 56.0 - buffer/evict/sum_episodes_evicted: 0.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 1.5 - buffer/sample/avg_sampled_policy_age: 0.0 - buffer/sample/count_sample_requests: 4.0 - buffer/sample/max_sampled_policy_age: 0.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0009234987664967775 - buffer_perf/sample/total_duration_max_s: 0.003390314057469368 - episode/total_tokens: 249.53731343283582 - episode/turns: 1.626865671641791 - game/average_turns: 1.626865671641791 - game/env_reward: -0.208955223880597 - game/games_played: 67.0 - game/invalid_action_penalty: 12.0 - game/invalid_action_rate: 0.11009174311926606 - game/missing_answer_tags: 12.0 - game/win_rate: 0.373134328358209 - generator/generate/avg_tokens_generated: 26.40909090909091 - generator/generate/count_requests: 111.0 - generator/generate/count_sequences_completed: 110.0 - generator/generate/sum_tokens_generated: 2905.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 2.144261089153588 - generator_perf/_fetch_weights/total_duration_max_s: 2.144261089153588 - generator_perf/generate/generate/duration_avg_s: 0.11542338601892649 - generator_perf/generate/generate/duration_max_s: 8.8476845703125 - generator_perf/generate/process_inputs/duration_avg_s: 0.0011044805813919412 - generator_perf/generate/process_inputs/duration_max_s: 0.018380640029907226 - generator_perf/generate/total_duration_avg_s: 0.11662334005480464 - generator_perf/generate/total_duration_max_s: 8.866266074344516 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 2.104058955796063 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 2.104058955796063 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7352613098919392 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7352613098919392 - groups/rate_dropped: 0.125 - main/continuous_rollouts/count_rollout_iterations: 14.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.2884294734103605 - main_perf/continuous_rollouts/play_games/duration_max_s: 0.38230503257364035 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.3508930743139769 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.7865569433197379 - main_perf/continuous_rollouts/total_duration_avg_s: 0.6094270756002516 - main_perf/continuous_rollouts/total_duration_max_s: 1.1915254788473248 - main_perf/continuous_training/push_weights/duration_avg_s: 3.6466204980388284 - main_perf/continuous_training/push_weights/duration_max_s: 3.6466204980388284 - main_perf/continuous_training/total_duration_avg_s: 13.441471725702286 - main_perf/continuous_training/total_duration_max_s: 13.441471725702286 - main_perf/continuous_training/train_step/duration_avg_s: 3.6429571509361267 - main_perf/continuous_training/train_step/duration_max_s: 3.6429571509361267 - main_perf/continuous_training/update_weights/duration_avg_s: 3.137825512327254 - main_perf/continuous_training/update_weights/duration_max_s: 3.137825512327254 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 3.0140655897557735 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 3.0140655897557735 - reference_perf/forward/avg_sequence_length: 275.5 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.013976369252694505 - reference_perf/forward/compute_logprobs/duration_max_s: 0.19410584680736065 - reference_perf/forward/count_forward_passes: 14.0 - reference_perf/forward/forward/duration_avg_s: 0.3277049099228212 - reference_perf/forward/forward/duration_max_s: 0.5837151017040014 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0003820889230285372 - reference_perf/forward/garbage_collection/duration_max_s: 0.0006339121609926224 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.3141100747244699 - reference_perf/forward/memory_peak_max_gb: 6.038649082183838 - reference_perf/forward/to_device/duration_avg_s: 0.00011335260101727076 - reference_perf/forward/to_device/duration_max_s: 0.00012060161679983139 - reference_perf/forward/total_duration_avg_s: 0.34217924338632394 - reference_perf/forward/total_duration_max_s: 0.7783356197178364 - rl_trainer/avg_loss: 0.0 - rl_trainer/learning_rate: 1e-05 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0004719262942671776 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0004719262942671776 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.000507500022649765 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.000507500022649765 - rl_trainer_perf/push_weights/total_duration_avg_s: 3.644510838203132 - rl_trainer_perf/push_weights/total_duration_max_s: 3.644510838203132 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 3.6435226490721107 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 3.6435226490721107 - rl_trainer_perf/step/forward_backward/duration_avg_s: 3.5631229002028704 - rl_trainer_perf/step/forward_backward/duration_max_s: 3.5631229002028704 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 7.6315484046936035 - rl_trainer_perf/step/memory_peak_max_gb: 15.202349662780762 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.054454254917800426 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.054454254917800426 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017288179136812687 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017288179136812687 - rl_trainer_perf/step/total_duration_avg_s: 3.63486884906888 - rl_trainer_perf/step/total_duration_max_s: 3.63486884906888 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:51:59 INFO [GC] Performing periodic GC collection took 0.01 seconds -[ReferenceModel-0/1] 2025-11-19 07:51:59 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:00 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:00 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:01 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 1: Starting training - -================================================================================ -[ROLLOUT 16] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 7/8 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=0 - -================================================================================ -[ROLLOUT 17] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 10 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 8/9 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 18] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 264, Trainable tokens: 19 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 21, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100 -✓ 16/17 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=1 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 19] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 263, Trainable tokens: 19 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 19, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100 -✓ 16/17 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=1 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'To determine the best action, let's analyze the current state: - -- **Your hand**: 14 -- **Dealer's hand**: Ace (1) -- **Dealer must hit until reaching 17+**, so the dealer will hit until their total is at least 17. - -### What's the best move? - -Your hand is 14, and the dealer has an Ace (1). The dealer has a low total, so they are likely to hit. Let's consider what happens if you **hit**: - -- **Your hand becomes 14 + next card** -- The dealer will hit until their total is at least 17. - -Let’s simulate: - -#### Option 1: You HIT -- You take another card, increasing your total. Let's say you get a 7 → your hand is 21 (win). -- The dealer, with a 1, will hit: - - They could get 10 (face card) → total 11 - - They could get 9 → total 10 - - They could get 8 → total 9 - - Etc. - -If the dealer's total is 17 or higher, they stand. If it's less than 17, they hit again. - -### Option 2: You STAND -- You keep your current hand of 14. -- Dealer will hit until 17 or higher. - -### Which is better? - -If you **hit** and get a 7 (making your total 21), you win immediately. - -### Recommended Action: -**HIT** (since you can win immediately by getting a 7)...'[ReferenceModel-0/1] 2025-11-19 07:52:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:04 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:04 INFO [GC] Performing periodic GC collection took 0.00 seconds -/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/torch/cuda/memory.py:491: FutureWarning: torch.cuda.reset_max_memory_allocated now calls torch.cuda.reset_peak_memory_stats, which resets /all/ peak memory stats. - warnings.warn( -[TitanTrainer-0/1] 2025-11-19 07:52:05 INFO Pushing weights for policy version 2 - -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT - -Your hand is 13, dealer is 6. You need to hit to get closer to 21. Let's assume you draw a 8 (total 21). Then you stand. The dealer's hand is 6, and you have 21. You win....' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 20] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 6 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 21] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 229, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 7/8 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 22] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 19 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 9 - [2] assistant : HIT - [3] user : Hand: 17, Dealer: 9 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100 -✓ 16/17 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 23] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 261, Trainable tokens: 18 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 4 - [2] assistant : HIT - [3] user : Hand: 15, Dealer: 4 - [4] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100 -✓ 15/16 trainable positions have valid targets -[ROLLOUT 23] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -1.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 24] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 19 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi...[ReferenceModel-0/1] 2025-11-19 07:52:05 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:05 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:06 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:52:07 INFO Completed weights push in 2.80 seconds -[Generator-0/1] 2025-11-19 07:52:07 INFO [Generator] Fetching weights for v2 to shared memory -INFO 11-19 07:52:10 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:52:10 INFO Weight update completed (now v2) - - [1] user : Hand: 11, Dealer: 7 - [2] assistant : HIT - [3] user : Hand: 20, Dealer: 7 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100 -✓ 16/17 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=1 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT - -Your hand is 19, and the dealer has 9. Since the dealer must hit until reaching 17, it's likely the dealer will hit and potentially reach 17 or higher. Taking another card will increase your hand total, so I'll HIT to try to get closer to 21....' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 25] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=1 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT - -Your current hand is 15. The dealer has 8. Since you're below 17, you should HIT to improve your hand. Let's assume you draw a 6 (total 21), and the dealer draws a 10 (total 18). Now your hand is 21, and the dealer is 18. You win because you have exactly 21....' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 26] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 19 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 8 - [2] assistant : HIT - [3] user : Hand: 21, Dealer: 8 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100 -✓ 16/17 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=1 -Dropping weights @ version 1 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 27] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 263, Trainable tokens: 18 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 18, Dealer: 10 - [4] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100[ReferenceModel-0/1] 2025-11-19 07:52:10 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:11 INFO [GC] Performing periodic GC collection took 0.00 seconds - -✓ 15/16 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=1 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 28] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -Dropped weights @ version 1, took 0.89 seconds -WandbBackend: Logged 97 metrics at step 2 -=== [global_reduce] - METRICS STEP 2 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 44.0 - buffer/episodes_accepted: 44.0 - buffer/episodes_generated: 44.0 - buffer/evict/sum_episodes_evicted: 8.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.16666666666666666 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0006777876988053322 - buffer_perf/sample/total_duration_max_s: 0.0006777876988053322 - episode/total_tokens: 266.9591836734694 - episode/turns: 1.653061224489796 - game/average_turns: 1.653061224489796 - game/env_reward: -0.24489795918367346 - game/games_played: 49.0 - game/invalid_action_penalty: 13.0 - game/invalid_action_rate: 0.16049382716049382 - game/missing_answer_tags: 13.0 - game/win_rate: 0.3469387755102041 - generator/generate/avg_tokens_generated: 17.790123456790123 - generator/generate/count_requests: 80.0 - generator/generate/count_sequences_completed: 81.0 - generator/generate/sum_tokens_generated: 1441.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.4907773593440652 - generator_perf/_fetch_weights/total_duration_max_s: 1.4907773593440652 - generator_perf/generate/generate/duration_avg_s: 0.13847527626414363 - generator_perf/generate/generate/duration_max_s: 3.128379638671875 - generator_perf/generate/process_inputs/duration_avg_s: 0.0009450706142363031 - generator_perf/generate/process_inputs/duration_max_s: 0.0019677120447158815 - generator_perf/generate/total_duration_avg_s: 0.1395175976435895 - generator_perf/generate/total_duration_max_s: 3.1293052706606685 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 0.16161901969462633 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 0.16161901969462633 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7870373222976923 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7870373222976923 - groups/rate_dropped: 0.07692307692307693 - main/continuous_rollouts/count_rollout_iterations: 11.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.002312723857661 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.3777579348534346 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.2169519579038024 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.4541095905005932 - main_perf/continuous_rollouts/total_duration_avg_s: 1.2151156971231103 - main_perf/continuous_rollouts/total_duration_max_s: 3.596857520751655 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.894972724840045 - main_perf/continuous_training/drop_weights/duration_max_s: 0.894972724840045 - main_perf/continuous_training/push_weights/duration_avg_s: 2.8016615016385913 - main_perf/continuous_training/push_weights/duration_max_s: 2.8016615016385913 - main_perf/continuous_training/total_duration_avg_s: 11.664939344860613 - main_perf/continuous_training/total_duration_max_s: 11.664939344860613 - main_perf/continuous_training/train_step/duration_avg_s: 5.411611598916352 - main_perf/continuous_training/train_step/duration_max_s: 5.411611598916352 - main_perf/continuous_training/update_weights/duration_avg_s: 2.5536695914343 - main_perf/continuous_training/update_weights/duration_max_s: 2.5536695914343 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0030212244018912315 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0030212244018912315 - reference_perf/forward/avg_sequence_length: 320.0833333333333 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.0006755455820397897 - reference_perf/forward/compute_logprobs/duration_max_s: 0.006310252472758293 - reference_perf/forward/count_forward_passes: 12.0 - reference_perf/forward/forward/duration_avg_s: 0.20685299265791068 - reference_perf/forward/forward/duration_max_s: 0.4399054404348135 - reference_perf/forward/garbage_collection/duration_avg_s: 0.000365812246772376 - reference_perf/forward/garbage_collection/duration_max_s: 0.00037472881376743317 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.37151592428034 - reference_perf/forward/memory_peak_max_gb: 7.661963939666748 - reference_perf/forward/to_device/duration_avg_s: 0.00011196156794374639 - reference_perf/forward/to_device/duration_max_s: 0.00012203492224216461 - reference_perf/forward/total_duration_avg_s: 0.20800797285681422 - reference_perf/forward/total_duration_max_s: 0.4436869481578469 - rl_trainer/avg_loss: 3.0213301181793213 - rl_trainer/learning_rate: 1e-05 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005492130294442177 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005492130294442177 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.000522182323038578 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.000522182323038578 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.799967591650784 - rl_trainer_perf/push_weights/total_duration_max_s: 2.799967591650784 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.798894022591412 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.798894022591412 - rl_trainer_perf/step/forward_backward/duration_avg_s: 5.384164998307824 - rl_trainer_perf/step/forward_backward/duration_max_s: 5.384164998307824 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 5.054473876953125e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.388299942016602 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0032385429367423058 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0032385429367423058 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01810954511165619 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01810954511165619 - rl_trainer_perf/step/total_duration_avg_s: 5.405515931546688 - rl_trainer_perf/step/total_duration_max_s: 5.405515931546688 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:52:11 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:52:13 INFO Pushing weights for policy version 3 -[ReferenceModel-0/1] 2025-11-19 07:52:14 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:52:15 INFO Completed weights push in 2.62 seconds -[Generator-0/1] 2025-11-19 07:52:15 INFO [Generator] Fetching weights for v3 to shared memory -INFO 11-19 07:52:18 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:52:18 INFO Weight update completed (now v3) -[ReferenceModel-0/1] 2025-11-19 07:52:18 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 2: Starting training -[BUFFER ADD] Added 4/4 episodes with policy_v=2 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 29] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 29] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 30] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=2 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropping weights @ version 2 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 31] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=2 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 32] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 9 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:18 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -Dropped weights @ version 2, took 0.92 seconds -WandbBackend: Logged 97 metrics at step 3 -=== [global_reduce] - METRICS STEP 3 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 12.0 - buffer/episodes_accepted: 12.0 - buffer/episodes_generated: 12.0 - buffer/evict/sum_episodes_evicted: 51.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.1951219512195122 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0010144393891096115 - buffer_perf/sample/total_duration_max_s: 0.0010144393891096115 - episode/total_tokens: 278.6875 - episode/turns: 1.125 - game/average_turns: 1.125 - game/env_reward: -0.625 - game/games_played: 16.0 - game/invalid_action_penalty: 14.0 - game/invalid_action_rate: 0.7777777777777778 - game/missing_answer_tags: 14.0 - game/win_rate: 0.1875 - generator/generate/avg_tokens_generated: 47.888888888888886 - generator/generate/count_requests: 18.0 - generator/generate/count_sequences_completed: 18.0 - generator/generate/sum_tokens_generated: 862.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5080174738541245 - generator_perf/_fetch_weights/total_duration_max_s: 1.5080174738541245 - generator_perf/generate/generate/duration_avg_s: 0.3415563090642293 - generator_perf/generate/generate/duration_max_s: 2.334263916015625 - generator_perf/generate/process_inputs/duration_avg_s: 0.0009832284516758387 - generator_perf/generate/process_inputs/duration_max_s: 0.0027149760723114012 - generator_perf/generate/total_duration_avg_s: 0.3426421632928154 - generator_perf/generate/total_duration_max_s: 2.3370832120850684 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.280914735980332 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.280914735980332 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7459821151569486 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7459821151569486 - groups/rate_dropped: 0.25 - main/continuous_rollouts/count_rollout_iterations: 3.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.5933754669968039 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.5619118930771947 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.4631432965397835 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.4790896289050579 - main_perf/continuous_rollouts/total_duration_avg_s: 1.9528141259215772 - main_perf/continuous_rollouts/total_duration_max_s: 4.057383306324482 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.923122682608664 - main_perf/continuous_training/drop_weights/duration_max_s: 0.923122682608664 - main_perf/continuous_training/push_weights/duration_avg_s: 2.6186133408918977 - main_perf/continuous_training/push_weights/duration_max_s: 2.6186133408918977 - main_perf/continuous_training/total_duration_avg_s: 7.7836121218279 - main_perf/continuous_training/total_duration_max_s: 7.7836121218279 - main_perf/continuous_training/train_step/duration_avg_s: 1.7029955741018057 - main_perf/continuous_training/train_step/duration_max_s: 1.7029955741018057 - main_perf/continuous_training/update_weights/duration_avg_s: 2.535601669922471 - main_perf/continuous_training/update_weights/duration_max_s: 2.535601669922471 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.003276321105659008 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.003276321105659008 - reference_perf/forward/avg_sequence_length: 510.6666666666667 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.0024482114240527153 - reference_perf/forward/compute_logprobs/duration_max_s: 0.007098008878529072 - reference_perf/forward/count_forward_passes: 3.0 - reference_perf/forward/forward/duration_avg_s: 0.445008462605377 - reference_perf/forward/forward/duration_max_s: 0.4664949104189873 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0005101639156540235 - reference_perf/forward/garbage_collection/duration_max_s: 0.000760544091463089 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.5799827575683594 - reference_perf/forward/memory_peak_max_gb: 9.400744915008545 - reference_perf/forward/to_device/duration_avg_s: 0.00011792903145154317 - reference_perf/forward/to_device/duration_max_s: 0.00012958701699972153 - reference_perf/forward/total_duration_avg_s: 0.44808675659199554 - reference_perf/forward/total_duration_max_s: 0.46751375682651997 - rl_trainer/avg_loss: 8.18081283569336 - rl_trainer/learning_rate: 9.989989989989992e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.00051826611161232 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.00051826611161232 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0004966342821717262 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0004966342821717262 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.61631525401026 - rl_trainer_perf/push_weights/total_duration_max_s: 2.61631525401026 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.6152979508042336 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.6152979508042336 - rl_trainer_perf/step/forward_backward/duration_avg_s: 1.6791153447702527 - rl_trainer_perf/step/forward_backward/duration_max_s: 1.6791153447702527 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 4.9591064453125e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.264225959777832 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.002627926878631115 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.002627926878631115 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017579060047864914 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017579060047864914 - rl_trainer_perf/step/total_duration_avg_s: 1.6993242744356394 - rl_trainer_perf/step/total_duration_max_s: 1.6993242744356394 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:52:19 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:19 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:19 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 3: Starting training -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 33] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 7 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 34] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 35] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 35] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 36] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: Ace - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:20 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:20 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 37] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 37] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 38] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 39] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 39] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 40] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:20 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:52:20 INFO Pushing weights for policy version 4 -[ReferenceModel-0/1] 2025-11-19 07:52:20 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:21 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:21 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 41] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 4 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 42] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 43] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 44] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:21 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:21 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:21 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:21 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 45] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 46] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 10 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 9 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 8/9 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 47] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 48] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:21 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:22 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 49] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 49] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 50] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 50] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 51] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 52] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:22 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:22 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:23 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 53] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 54] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 55] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 56] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:52:23 INFO Completed weights push in 2.56 seconds -[Generator-0/1] 2025-11-19 07:52:23 INFO [Generator] Fetching weights for v4 to shared memory -INFO 11-19 07:52:25 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:52:25 INFO Weight update completed (now v4) -[ReferenceModel-0/1] 2025-11-19 07:52:25 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:26 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:26 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropping weights @ version 3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 57] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=3 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 58] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 59] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 60] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:26 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:26 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:26 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 61] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 61] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 62] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 63] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropped weights @ version 3, took 0.95 seconds -WandbBackend: Logged 97 metrics at step 4 -=== [global_reduce] - METRICS STEP 4 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 104.0 - buffer/episodes_accepted: 104.0 - buffer/episodes_generated: 104.0 - buffer/evict/sum_episodes_evicted: 40.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.6153846153846154 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.000921168364584446 - buffer_perf/sample/total_duration_max_s: 0.000921168364584446 - episode/total_tokens: 225.344 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.152 - game/games_played: 125.0 - game/invalid_action_penalty: 123.0 - game/invalid_action_rate: 0.984 - game/missing_answer_tags: 123.0 - game/win_rate: 0.416 - generator/generate/avg_tokens_generated: 3.192 - generator/generate/count_requests: 126.0 - generator/generate/count_sequences_completed: 125.0 - generator/generate/sum_tokens_generated: 399.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5336667383089662 - generator_perf/_fetch_weights/total_duration_max_s: 1.5336667383089662 - generator_perf/generate/generate/duration_avg_s: 0.03484195889282227 - generator_perf/generate/generate/duration_max_s: 2.456700439453125 - generator_perf/generate/process_inputs/duration_avg_s: 0.0008184563220832497 - generator_perf/generate/process_inputs/duration_max_s: 0.0016252800226211547 - generator_perf/generate/total_duration_avg_s: 0.035765737711232135 - generator_perf/generate/total_duration_max_s: 2.4584292074739933 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5211994228884578 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5211994228884578 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.674525854177773 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.674525854177773 - groups/rate_dropped: 0.1935483870967742 - main/continuous_rollouts/count_rollout_iterations: 26.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.17646108771441504 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.5557435983791947 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.07328471544986734 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.47066747210919857 - main_perf/continuous_rollouts/total_duration_avg_s: 0.24783562892116606 - main_perf/continuous_rollouts/total_duration_max_s: 2.593886055983603 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.9521838622167706 - main_perf/continuous_training/drop_weights/duration_max_s: 0.9521838622167706 - main_perf/continuous_training/push_weights/duration_avg_s: 2.561799285002053 - main_perf/continuous_training/push_weights/duration_max_s: 2.561799285002053 - main_perf/continuous_training/total_duration_avg_s: 7.608462524600327 - main_perf/continuous_training/total_duration_max_s: 7.608462524600327 - main_perf/continuous_training/train_step/duration_avg_s: 1.619497044943273 - main_perf/continuous_training/train_step/duration_max_s: 1.619497044943273 - main_perf/continuous_training/update_weights/duration_avg_s: 2.471970682963729 - main_perf/continuous_training/update_weights/duration_max_s: 2.471970682963729 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0030097663402557373 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0030097663402557373 - reference_perf/forward/avg_sequence_length: 226.44 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00012463051825761795 - reference_perf/forward/compute_logprobs/duration_max_s: 0.0001592310145497322 - reference_perf/forward/count_forward_passes: 25.0 - reference_perf/forward/forward/duration_avg_s: 0.06544354210536067 - reference_perf/forward/forward/duration_max_s: 0.4618057878687978 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00040083758246440155 - reference_perf/forward/garbage_collection/duration_max_s: 0.0005682520568370819 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.2563205132117638 - reference_perf/forward/memory_peak_max_gb: 5.386606216430664 - reference_perf/forward/to_device/duration_avg_s: 0.00011796482767050083 - reference_perf/forward/to_device/duration_max_s: 0.00016046315431594849 - reference_perf/forward/total_duration_avg_s: 0.0660886295641271 - reference_perf/forward/total_duration_max_s: 0.4623778248205781 - rl_trainer/avg_loss: 0.6804311871528625 - rl_trainer/learning_rate: 9.979979979979981e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.000491265207529068 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.000491265207529068 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0004830826073884964 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0004830826073884964 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.5601681005209684 - rl_trainer_perf/push_weights/total_duration_max_s: 2.5601681005209684 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.5591909885406494 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.5591909885406494 - rl_trainer_perf/step/forward_backward/duration_avg_s: 1.5970069644972682 - rl_trainer_perf/step/forward_backward/duration_max_s: 1.5970069644972682 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209384441375732 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0018410738557577133 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0018410738557577133 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017798462882637978 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017798462882637978 - rl_trainer_perf/step/total_duration_avg_s: 1.6166482334956527 - rl_trainer_perf/step/total_duration_max_s: 1.6166482334956527 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:52:26 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:26 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:26 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:27 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 4: Starting training -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 64] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 6, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 6, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 65] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 66] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 67] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:27 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:27 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:27 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 67] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 68] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 69] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 70] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 71] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:27 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:27 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:28 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 72] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 73] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 74] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 9 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 74] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 75] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[TitanTrainer-0/1] 2025-11-19 07:52:28 INFO Pushing weights for policy version 5 -[ReferenceModel-0/1] 2025-11-19 07:52:28 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:28 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 75] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 76] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 76] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 77] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 78] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 79] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 6, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 6, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:28 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:28 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:29 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:29 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 80] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 81] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 82] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 83] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:29 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:29 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:29 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:29 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 84] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 85] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 86] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 87] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:29 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:30 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 88] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 88] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 89] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 90] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 90] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 91] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:30 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:30 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:30 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 92] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 93] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 93] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 94] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 95] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:30 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:52:30 INFO Completed weights push in 2.59 seconds -[Generator-0/1] 2025-11-19 07:52:30 INFO [Generator] Fetching weights for v5 to shared memory -[ReferenceModel-0/1] 2025-11-19 07:52:30 INFO [GC] Performing periodic GC collection took 0.00 seconds -INFO 11-19 07:52:33 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:52:33 INFO Weight update completed (now v5) -[ReferenceModel-0/1] 2025-11-19 07:52:33 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:33 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 96] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=4 -Dropping weights @ version 4 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 97] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 98] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 99] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:34 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 99] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 100] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 101] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 101] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 102] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 102] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 103] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 103] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -Dropped weights @ version 4, took 0.88 seconds -WandbBackend: Logged 97 metrics at step 5 -=== [global_reduce] - METRICS STEP 5 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 116.0 - buffer/episodes_accepted: 116.0 - buffer/episodes_generated: 116.0 - buffer/evict/sum_episodes_evicted: 11.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.07547169811320754 - buffer/sample/avg_sampled_policy_age: 0.625 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0008463244885206223 - buffer_perf/sample/total_duration_max_s: 0.0008463244885206223 - episode/total_tokens: 225.38993710691824 - episode/turns: 1.0062893081761006 - game/average_turns: 1.0062893081761006 - game/env_reward: -0.22641509433962265 - game/games_played: 159.0 - game/invalid_action_penalty: 158.0 - game/invalid_action_rate: 0.9875 - game/missing_answer_tags: 158.0 - game/win_rate: 0.3710691823899371 - generator/generate/avg_tokens_generated: 3.15 - generator/generate/count_requests: 160.0 - generator/generate/count_sequences_completed: 160.0 - generator/generate/sum_tokens_generated: 504.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.548373470082879 - generator_perf/_fetch_weights/total_duration_max_s: 1.548373470082879 - generator_perf/generate/generate/duration_avg_s: 0.030767261248826984 - generator_perf/generate/generate/duration_max_s: 2.496214599609375 - generator_perf/generate/process_inputs/duration_avg_s: 0.0008704947952166552 - generator_perf/generate/process_inputs/duration_max_s: 0.002374527931213379 - generator_perf/generate/total_duration_avg_s: 0.031728560443909384 - generator_perf/generate/total_duration_max_s: 2.497388935610652 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.546561631374061 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.546561631374061 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7420232780277729 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7420232780277729 - groups/rate_dropped: 0.275 - main/continuous_rollouts/count_rollout_iterations: 29.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.16059877679217607 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.592716391198337 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.024534200767761673 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.0314891142770648 - main_perf/continuous_rollouts/total_duration_avg_s: 0.19074562776368112 - main_perf/continuous_rollouts/total_duration_max_s: 2.6308459993451834 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.8808676954358816 - main_perf/continuous_training/drop_weights/duration_max_s: 0.8808676954358816 - main_perf/continuous_training/push_weights/duration_avg_s: 2.5949533749371767 - main_perf/continuous_training/push_weights/duration_max_s: 2.5949533749371767 - main_perf/continuous_training/total_duration_avg_s: 7.60017439071089 - main_perf/continuous_training/total_duration_max_s: 7.60017439071089 - main_perf/continuous_training/train_step/duration_avg_s: 1.5697208177298307 - main_perf/continuous_training/train_step/duration_max_s: 1.5697208177298307 - main_perf/continuous_training/update_weights/duration_avg_s: 2.551843401044607 - main_perf/continuous_training/update_weights/duration_max_s: 2.551843401044607 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0027879299595952034 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0027879299595952034 - reference_perf/forward/avg_sequence_length: 227.0344827586207 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00014872065392033807 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00017124880105257034 - reference_perf/forward/count_forward_passes: 29.0 - reference_perf/forward/forward/duration_avg_s: 0.01647606694364342 - reference_perf/forward/forward/duration_max_s: 0.021436382085084915 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00047346108175557236 - reference_perf/forward/garbage_collection/duration_max_s: 0.0005350811406970024 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.2570128112003721 - reference_perf/forward/memory_peak_max_gb: 5.597161769866943 - reference_perf/forward/to_device/duration_avg_s: 0.00015229760701286382 - reference_perf/forward/to_device/duration_max_s: 0.000186222605407238 - reference_perf/forward/total_duration_avg_s: 0.017252391974987655 - reference_perf/forward/total_duration_max_s: 0.02220380585640669 - rl_trainer/avg_loss: 0.5095332264900208 - rl_trainer/learning_rate: 9.96996996996997e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0004984857514500618 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0004984857514500618 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.00047410838305950165 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.00047410838305950165 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.593125330284238 - rl_trainer_perf/push_weights/total_duration_max_s: 2.593125330284238 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.5921504236757755 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.5921504236757755 - rl_trainer_perf/step/forward_backward/duration_avg_s: 1.5461803926154971 - rl_trainer_perf/step/forward_backward/duration_max_s: 1.5461803926154971 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0017905663698911667 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0017905663698911667 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018375378102064133 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018375378102064133 - rl_trainer_perf/step/total_duration_avg_s: 1.5663479901850224 - rl_trainer_perf/step/total_duration_max_s: 1.5663479901850224 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:52:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 5: Starting training -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 104] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 8 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 104] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 105] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 106] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 107] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:35 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:35 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 108] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 109] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 110] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 111] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:35 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:35 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:35 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:35 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 112] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 113] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 114] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 115] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:35 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:52:35 INFO Pushing weights for policy version 6 -[ReferenceModel-0/1] 2025-11-19 07:52:36 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:36 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 116] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 2 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 116] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 117] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 118] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 5 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 119] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:36 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:36 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:36 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 119] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 120] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 121] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: Ace - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 122] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 123] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:37 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 123] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 124] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 125] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 126] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 127] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:37 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 127] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 128] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 129] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 130] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 131] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:38 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 132] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 133] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 8 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 134] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 3 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 135] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:52:38 INFO Completed weights push in 2.79 seconds -[Generator-0/1] 2025-11-19 07:52:38 INFO [Generator] Fetching weights for v6 to shared memory -INFO 11-19 07:52:41 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:52:41 INFO Weight update completed (now v6) -[ReferenceModel-0/1] 2025-11-19 07:52:41 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 136] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 137] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 137] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropping weights @ version 5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 138] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=5 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 139] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:41 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:41 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:41 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 140] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 141] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 142] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 142] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 143] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:42 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:42 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 144] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -Dropped weights @ version 5, took 1.06 seconds -WandbBackend: Logged 97 metrics at step 6 -=== [global_reduce] - METRICS STEP 6 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 136.0 - buffer/episodes_accepted: 136.0 - buffer/episodes_generated: 136.0 - buffer/evict/sum_episodes_evicted: 87.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.05925925925925926 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0014088870957493782 - buffer_perf/sample/total_duration_max_s: 0.0014088870957493782 - episode/total_tokens: 225.2754491017964 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.24550898203592814 - game/games_played: 167.0 - game/invalid_action_penalty: 167.0 - game/invalid_action_rate: 1.0 - game/missing_answer_tags: 167.0 - game/win_rate: 0.3413173652694611 - generator/generate/avg_tokens_generated: 3.18562874251497 - generator/generate/count_requests: 167.0 - generator/generate/count_sequences_completed: 167.0 - generator/generate/sum_tokens_generated: 532.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.596358260139823 - generator_perf/_fetch_weights/total_duration_max_s: 1.596358260139823 - generator_perf/generate/generate/duration_avg_s: 0.030998960455020735 - generator_perf/generate/generate/duration_max_s: 2.615928466796875 - generator_perf/generate/process_inputs/duration_avg_s: 0.000824996020310296 - generator_perf/generate/process_inputs/duration_max_s: 0.0020694398880004884 - generator_perf/generate/total_duration_avg_s: 0.03192431824774798 - generator_perf/generate/total_duration_max_s: 2.6171475707739593 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5716267488896847 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5716267488896847 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7669240664690733 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7669240664690733 - groups/rate_dropped: 0.17073170731707318 - main/continuous_rollouts/count_rollout_iterations: 34.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.16195907988926259 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.722122169099748 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.02379925935255254 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.024770820513367653 - main_perf/continuous_rollouts/total_duration_avg_s: 0.19507719708106866 - main_perf/continuous_rollouts/total_duration_max_s: 2.7622942561283708 - main_perf/continuous_training/drop_weights/duration_avg_s: 1.0603087041527033 - main_perf/continuous_training/drop_weights/duration_max_s: 1.0603087041527033 - main_perf/continuous_training/push_weights/duration_avg_s: 2.7880454640835524 - main_perf/continuous_training/push_weights/duration_max_s: 2.7880454640835524 - main_perf/continuous_training/total_duration_avg_s: 8.071071540005505 - main_perf/continuous_training/total_duration_max_s: 8.071071540005505 - main_perf/continuous_training/train_step/duration_avg_s: 1.5801494987681508 - main_perf/continuous_training/train_step/duration_max_s: 1.5801494987681508 - main_perf/continuous_training/update_weights/duration_avg_s: 2.6390121886506677 - main_perf/continuous_training/update_weights/duration_max_s: 2.6390121886506677 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0035535115748643875 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0035535115748643875 - reference_perf/forward/avg_sequence_length: 225.97058823529412 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.0001425503972260391 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00016053300350904465 - reference_perf/forward/count_forward_passes: 34.0 - reference_perf/forward/forward/duration_avg_s: 0.015664560035528505 - reference_perf/forward/forward/duration_max_s: 0.016123462468385696 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00044984039028777797 - reference_perf/forward/garbage_collection/duration_max_s: 0.0005148909986019135 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.25580843757180605 - reference_perf/forward/memory_peak_max_gb: 5.359437942504883 - reference_perf/forward/to_device/duration_avg_s: 0.0001454257734996431 - reference_perf/forward/to_device/duration_max_s: 0.0001563485711812973 - reference_perf/forward/total_duration_avg_s: 0.01640405957860982 - reference_perf/forward/total_duration_max_s: 0.016896914690732956 - rl_trainer/avg_loss: 0.42995136976242065 - rl_trainer/learning_rate: 9.95995995995996e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.000522783026099205 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.000522783026099205 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.00048682931810617447 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.00048682931810617447 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.786532448604703 - rl_trainer_perf/push_weights/total_duration_max_s: 2.786532448604703 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.785520222969353 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.785520222969353 - rl_trainer_perf/step/forward_backward/duration_avg_s: 1.5564411096274853 - rl_trainer_perf/step/forward_backward/duration_max_s: 1.5564411096274853 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.002493373118340969 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.002493373118340969 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01812148280441761 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01812148280441761 - rl_trainer_perf/step/total_duration_avg_s: 1.5770575478672981 - rl_trainer_perf/step/total_duration_max_s: 1.5770575478672981 -============================== - -[ReferenceModel-0/1] 2025-11-19 07:52:42 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:52:42 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:42 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:52:42 INFO Pushing weights for policy version 7 -[ReferenceModel-0/1] 2025-11-19 07:52:42 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 145] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[TRAINING] Step 6: Starting training -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 146] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 147] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 148] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets[ReferenceModel-0/1] 2025-11-19 07:52:42 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:43 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:43 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:43 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 149] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 150] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 151] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 152] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:43 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 153] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 153] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 154] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 154] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 155] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 155] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 156] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:43 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:44 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 157] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 158] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 4, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 4, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 159] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 160] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:45 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 161] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 162] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 7 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 163] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 164] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:45 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:52:45 INFO Completed weights push in 2.75 seconds -[Generator-0/1] 2025-11-19 07:52:45 INFO [Generator] Fetching weights for v7 to shared memory -INFO 11-19 07:52:47 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:52:47 INFO Weight update completed (now v7) -[ReferenceModel-0/1] 2025-11-19 07:52:48 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:48 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 164] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 165] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropping weights @ version 6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 166] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=6 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 167] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 168] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:48 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:48 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:48 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:48 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 169] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 170] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 171] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 172] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:48 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:49 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 173] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -Dropped weights @ version 6, took 1.03 seconds -WandbBackend: Logged 97 metrics at step 7 -=== [global_reduce] - METRICS STEP 7 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 96.0 - buffer/episodes_accepted: 96.0 - buffer/episodes_generated: 96.0 - buffer/evict/sum_episodes_evicted: 123.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.05405405405405406 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0016560712829232216 - buffer_perf/sample/total_duration_max_s: 0.0016560712829232216 - episode/total_tokens: 225.21238938053096 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.24778761061946902 - game/games_played: 113.0 - game/invalid_action_penalty: 113.0 - game/invalid_action_rate: 1.0 - game/missing_answer_tags: 113.0 - game/win_rate: 0.35398230088495575 - generator/generate/avg_tokens_generated: 3.0707964601769913 - generator/generate/count_requests: 112.0 - generator/generate/count_sequences_completed: 113.0 - generator/generate/sum_tokens_generated: 347.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5717863095924258 - generator_perf/_fetch_weights/total_duration_max_s: 1.5717863095924258 - generator_perf/generate/generate/duration_avg_s: 0.03733976878107121 - generator_perf/generate/generate/duration_max_s: 2.54092724609375 - generator_perf/generate/process_inputs/duration_avg_s: 0.000805990795065047 - generator_perf/generate/process_inputs/duration_max_s: 0.001675711989402771 - generator_perf/generate/total_duration_avg_s: 0.03826039575326949 - generator_perf/generate/total_duration_max_s: 2.542265742048621 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5383423110470176 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5383423110470176 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7290973486378789 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7290973486378789 - groups/rate_dropped: 0.13793103448275862 - main/continuous_rollouts/count_rollout_iterations: 24.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.19002827616142376 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.653261217288673 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.024783880760272343 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.02754328865557909 - main_perf/continuous_rollouts/total_duration_avg_s: 0.23305956161181843 - main_perf/continuous_rollouts/total_duration_max_s: 2.6940735150128603 - main_perf/continuous_training/drop_weights/duration_avg_s: 1.0273427898064256 - main_perf/continuous_training/drop_weights/duration_max_s: 1.0273427898064256 - main_perf/continuous_training/push_weights/duration_avg_s: 2.756393142975867 - main_perf/continuous_training/push_weights/duration_max_s: 2.756393142975867 - main_perf/continuous_training/total_duration_avg_s: 6.533458175137639 - main_perf/continuous_training/total_duration_max_s: 6.533458175137639 - main_perf/continuous_training/train_step/duration_avg_s: 0.16644445061683655 - main_perf/continuous_training/train_step/duration_max_s: 0.16644445061683655 - main_perf/continuous_training/update_weights/duration_avg_s: 2.5736238854005933 - main_perf/continuous_training/update_weights/duration_max_s: 2.5736238854005933 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.009651793166995049 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.009651793166995049 - reference_perf/forward/avg_sequence_length: 225.96 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.0001459890433276693 - reference_perf/forward/compute_logprobs/duration_max_s: 0.0001864032819867134 - reference_perf/forward/count_forward_passes: 25.0 - reference_perf/forward/forward/duration_avg_s: 0.016194389550946653 - reference_perf/forward/forward/duration_max_s: 0.01850851997733116 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00045195377121369046 - reference_perf/forward/garbage_collection/duration_max_s: 0.0005278913304209709 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.25579456488291424 - reference_perf/forward/memory_peak_max_gb: 5.359437942504883 - reference_perf/forward/to_device/duration_avg_s: 0.00013032392598688602 - reference_perf/forward/to_device/duration_max_s: 0.00016098376363515854 - reference_perf/forward/total_duration_avg_s: 0.016924435234007735 - reference_perf/forward/total_duration_max_s: 0.019215373322367668 - rl_trainer/avg_loss: 0.2734350562095642 - rl_trainer/learning_rate: 9.949949949949951e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005182670429348946 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005182670429348946 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.000498306006193161 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.000498306006193161 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.75173282250762 - rl_trainer_perf/push_weights/total_duration_max_s: 2.75173282250762 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.7507138960063457 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.7507138960063457 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1434032041579485 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.1434032041579485 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0025182003155350685 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0025182003155350685 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017602095380425453 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017602095380425453 - rl_trainer_perf/step/total_duration_avg_s: 0.16352541279047728 - rl_trainer_perf/step/total_duration_max_s: 0.16352541279047728 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:52:49 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:52:49 INFO Pushing weights for policy version 8 -[ReferenceModel-0/1] 2025-11-19 07:52:49 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:49 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 7: Starting training -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 174] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 174] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 175] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 9 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 176] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 7/8 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 177] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text ---[ReferenceModel-0/1] 2025-11-19 07:52:49 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:49 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:49 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:50 INFO [GC] Performing periodic GC collection took 0.00 seconds - -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 178] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 179] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 180] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 181] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:50 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 182] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 183] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 184] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 185] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:51 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 186] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 187] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 3 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 187] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 188] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 189] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:51 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:51 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 190] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 191] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 191] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 192] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 192] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 193] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 10 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:51 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:52:51 INFO Completed weights push in 2.62 seconds -[Generator-0/1] 2025-11-19 07:52:51 INFO [Generator] Fetching weights for v8 to shared memory -INFO 11-19 07:52:54 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:52:54 INFO Weight update completed (now v8) -[ReferenceModel-0/1] 2025-11-19 07:52:54 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:54 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:54 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 8/9 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropping weights @ version 7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 194] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=7 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 195] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 196] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 197] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:54 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:54 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:55 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 198] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 199] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropped weights @ version 7, took 0.89 seconds -WandbBackend: Logged 97 metrics at step 8 -=== [global_reduce] - METRICS STEP 8 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 92.0 - buffer/episodes_accepted: 92.0 - buffer/episodes_generated: 92.0 - buffer/evict/sum_episodes_evicted: 126.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.06779661016949153 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.001775544136762619 - buffer_perf/sample/total_duration_max_s: 0.001775544136762619 - episode/total_tokens: 225.78504672897196 - episode/turns: 1.0093457943925233 - game/average_turns: 1.0093457943925233 - game/env_reward: -0.205607476635514 - game/games_played: 107.0 - game/invalid_action_penalty: 102.0 - game/invalid_action_rate: 0.9444444444444444 - game/missing_answer_tags: 102.0 - game/win_rate: 0.3644859813084112 - generator/generate/avg_tokens_generated: 3.5 - generator/generate/count_requests: 109.0 - generator/generate/count_sequences_completed: 108.0 - generator/generate/sum_tokens_generated: 378.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.545696227811277 - generator_perf/_fetch_weights/total_duration_max_s: 1.545696227811277 - generator_perf/generate/generate/duration_avg_s: 0.039613927382010014 - generator_perf/generate/generate/duration_max_s: 2.508435546875 - generator_perf/generate/process_inputs/duration_avg_s: 0.0007626717068509336 - generator_perf/generate/process_inputs/duration_max_s: 0.0019046720266342164 - generator_perf/generate/total_duration_avg_s: 0.04047533271853224 - generator_perf/generate/total_duration_max_s: 2.5099881549030543 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5375811262056231 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5375811262056231 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7114098025485873 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7114098025485873 - groups/rate_dropped: 0.15384615384615385 - main/continuous_rollouts/count_rollout_iterations: 23.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.1961972313001752 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.6039293138310313 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.0243385571014622 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.025929237715899944 - main_perf/continuous_rollouts/total_duration_avg_s: 0.22952323306903796 - main_perf/continuous_rollouts/total_duration_max_s: 2.6438150256872177 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.8873623181134462 - main_perf/continuous_training/drop_weights/duration_max_s: 0.8873623181134462 - main_perf/continuous_training/push_weights/duration_avg_s: 2.616927714087069 - main_perf/continuous_training/push_weights/duration_max_s: 2.616927714087069 - main_perf/continuous_training/total_duration_avg_s: 6.193026800639927 - main_perf/continuous_training/total_duration_max_s: 6.193026800639927 - main_perf/continuous_training/train_step/duration_avg_s: 0.1683096494525671 - main_perf/continuous_training/train_step/duration_max_s: 0.1683096494525671 - main_perf/continuous_training/update_weights/duration_avg_s: 2.5162133257836103 - main_perf/continuous_training/update_weights/duration_max_s: 2.5162133257836103 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.004211800172924995 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.004211800172924995 - reference_perf/forward/avg_sequence_length: 228.3181818181818 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00014522003576807353 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00017424486577510834 - reference_perf/forward/count_forward_passes: 22.0 - reference_perf/forward/forward/duration_avg_s: 0.01568264222663382 - reference_perf/forward/forward/duration_max_s: 0.015907383523881435 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00045054628635230273 - reference_perf/forward/garbage_collection/duration_max_s: 0.0005094427615404129 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.25835188575412915 - reference_perf/forward/memory_peak_max_gb: 5.597161769866943 - reference_perf/forward/to_device/duration_avg_s: 0.0001339484006166458 - reference_perf/forward/to_device/duration_max_s: 0.00017028767615556717 - reference_perf/forward/total_duration_avg_s: 0.016414149745326977 - reference_perf/forward/total_duration_max_s: 0.01664917916059494 - rl_trainer/avg_loss: 1.1478474140167236 - rl_trainer/learning_rate: 9.93993993993994e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005104131996631622 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005104131996631622 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0004907650873064995 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0004907650873064995 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.6152250096201897 - rl_trainer_perf/push_weights/total_duration_max_s: 2.6152250096201897 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.614221267402172 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.614221267402172 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14465994108468294 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.14465994108468294 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.002505340613424778 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.002505340613424778 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01804631855338812 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01804631855338812 - rl_trainer_perf/step/total_duration_avg_s: 0.16521335300058126 - rl_trainer_perf/step/total_duration_max_s: 0.16521335300058126 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:52:55 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:55 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:55 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:52:55 INFO Pushing weights for policy version 9 -[ReferenceModel-0/1] 2025-11-19 07:52:55 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 8: Starting training -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 200] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 10 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 6 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 8/9 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 201] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 202] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 203] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100[ReferenceModel-0/1] 2025-11-19 07:52:55 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:55 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:55 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:56 INFO [GC] Performing periodic GC collection took 0.00 seconds - -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 204] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 205] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 206] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 207] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:56 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 208] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 209] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 210] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 211] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:57 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 212] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 3 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 212] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 213] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 214] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 215] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:57 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 215] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 216] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 217] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 217] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 218] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 218] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 219] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:57 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:57 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:57 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:52:58 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 220] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 221] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 7 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 222] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 223] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:52:58 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:52:58 INFO Completed weights push in 2.81 seconds -[Generator-0/1] 2025-11-19 07:52:58 INFO [Generator] Fetching weights for v9 to shared memory -INFO 11-19 07:53:00 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:53:00 INFO Weight update completed (now v9) -[ReferenceModel-0/1] 2025-11-19 07:53:00 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:01 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=8 -Dropping weights @ version 8 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 224] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 224] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 225] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 226] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 227] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:01 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:01 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:01 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 228] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 229] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -Dropped weights @ version 8, took 0.91 seconds -WandbBackend: Logged 95 metrics at step 9 -=== [global_reduce] - METRICS STEP 9 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 100.0 - buffer/episodes_accepted: 100.0 - buffer/episodes_generated: 100.0 - buffer/evict/sum_episodes_evicted: 92.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.06779661016949153 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0014299498870968819 - buffer_perf/sample/total_duration_max_s: 0.0014299498870968819 - episode/total_tokens: 225.25 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.19166666666666668 - game/games_played: 120.0 - game/invalid_action_penalty: 119.0 - game/invalid_action_rate: 0.9916666666666667 - game/missing_answer_tags: 119.0 - game/win_rate: 0.375 - generator/generate/avg_tokens_generated: 3.2083333333333335 - generator/generate/count_requests: 120.0 - generator/generate/count_sequences_completed: 120.0 - generator/generate/sum_tokens_generated: 385.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.4958831649273634 - generator_perf/_fetch_weights/total_duration_max_s: 1.4958831649273634 - generator_perf/generate/generate/duration_avg_s: 0.03582973135312398 - generator_perf/generate/generate/duration_max_s: 2.447203125 - generator_perf/generate/process_inputs/duration_avg_s: 0.000796762134134769 - generator_perf/generate/process_inputs/duration_max_s: 0.00134553599357605 - generator_perf/generate/total_duration_avg_s: 0.03672841562014269 - generator_perf/generate/total_duration_max_s: 2.448673684999347 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.4959815740585327 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.4959815740585327 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7129223672673106 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7129223672673106 - groups/rate_dropped: 0.16666666666666666 - main/continuous_rollouts/count_rollout_iterations: 25.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.18140811442087093 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.5553714632987976 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.023518310599029063 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.024830500595271587 - main_perf/continuous_rollouts/total_duration_avg_s: 0.21363055212423204 - main_perf/continuous_rollouts/total_duration_max_s: 2.5575638096779585 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.9076444897800684 - main_perf/continuous_training/drop_weights/duration_max_s: 0.9076444897800684 - main_perf/continuous_training/push_weights/duration_avg_s: 2.811466107144952 - main_perf/continuous_training/push_weights/duration_max_s: 2.811466107144952 - main_perf/continuous_training/total_duration_avg_s: 6.401083101518452 - main_perf/continuous_training/total_duration_max_s: 6.401083101518452 - main_perf/continuous_training/train_step/duration_avg_s: 0.19340350106358528 - main_perf/continuous_training/train_step/duration_max_s: 0.19340350106358528 - main_perf/continuous_training/update_weights/duration_avg_s: 2.4846805250272155 - main_perf/continuous_training/update_weights/duration_max_s: 2.4846805250272155 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.003886345773935318 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.003886345773935318 - reference_perf/forward/avg_sequence_length: 226.36 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.0001454920694231987 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00017536710947752 - reference_perf/forward/count_forward_passes: 25.0 - reference_perf/forward/forward/duration_avg_s: 0.015736089050769807 - reference_perf/forward/forward/duration_max_s: 0.01619916595518589 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0004481741413474083 - reference_perf/forward/garbage_collection/duration_max_s: 0.00047978851944208145 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.2562492561340332 - reference_perf/forward/memory_peak_max_gb: 5.386606216430664 - reference_perf/forward/to_device/duration_avg_s: 0.00014649491757154465 - reference_perf/forward/to_device/duration_max_s: 0.0001646699383854866 - reference_perf/forward/total_duration_avg_s: 0.016477963887155056 - reference_perf/forward/total_duration_max_s: 0.01693354081362486 - rl_trainer/avg_loss: 0.49739712476730347 - rl_trainer/learning_rate: 9.929929929929931e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005113556981086731 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005113556981086731 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0004889704287052155 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0004889704287052155 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.809537209570408 - rl_trainer_perf/push_weights/total_duration_max_s: 2.809537209570408 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.808534820564091 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.808534820564091 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1647317223250866 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.1647317223250866 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0022467775270342827 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0022467775270342827 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01756342686712742 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01756342686712742 - rl_trainer_perf/step/total_duration_avg_s: 0.18454338889569044 - rl_trainer_perf/step/total_duration_max_s: 0.18454338889569044 -============================== - -[ReferenceModel-0/1] 2025-11-19 07:53:01 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:01 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:01 INFO Pushing weights for policy version 10 -[ReferenceModel-0/1] 2025-11-19 07:53:01 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 230] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[TRAINING] Step 9: Starting training -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 231] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 231] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 232] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 233] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags![ReferenceModel-0/1] 2025-11-19 07:53:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:02 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 234] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 235] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 236] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 237] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ -[ReferenceModel-0/1] 2025-11-19 07:53:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:02 INFO [GC] Performing periodic GC collection took 0.00 seconds - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 238] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 238] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 239] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 240] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 240] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 241] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:03 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 242] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 243] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 244] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 245] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:04 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 246] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 247] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 248] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 249] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:04 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:04 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:04 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:04 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:04 INFO Completed weights push in 2.90 seconds -[Generator-0/1] 2025-11-19 07:53:04 INFO [Generator] Fetching weights for v10 to shared memory -INFO 11-19 07:53:07 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:53:07 INFO Weight update completed (now v10) - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 250] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 251] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 252] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropping weights @ version 9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 253] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 7 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:07 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:07 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:07 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:07 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=9 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 254] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 255] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 256] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 257] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:08 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:08 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 258] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 258] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 259] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 6, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 6, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropped weights @ version 9, took 1.03 seconds -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -WandbBackend: Logged 97 metrics at step 10 - -================================================================================ -[ROLLOUT 260] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -=== [global_reduce] - METRICS STEP 10 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 104.0 - buffer/episodes_accepted: 104.0 - buffer/episodes_generated: 104.0 - buffer/evict/sum_episodes_evicted: 96.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.06557377049180328 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.001598604954779148 - buffer_perf/sample/total_duration_max_s: 0.001598604954779148 - episode/total_tokens: 225.64166666666668 - episode/turns: 1.0083333333333333 - game/average_turns: 1.0083333333333333 - game/env_reward: -0.25 - game/games_played: 120.0 - game/invalid_action_penalty: 116.0 - game/invalid_action_rate: 0.9586776859504132 - game/missing_answer_tags: 116.0 - game/win_rate: 0.35833333333333334 - generator/generate/avg_tokens_generated: 3.3442622950819674 - generator/generate/count_requests: 121.0 - generator/generate/count_sequences_completed: 122.0 - generator/generate/sum_tokens_generated: 408.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.6320789027959108 - generator_perf/_fetch_weights/total_duration_max_s: 1.6320789027959108 - generator_perf/generate/generate/duration_avg_s: 0.038127701165246164 - generator_perf/generate/generate/duration_max_s: 2.711935791015625 - generator_perf/generate/process_inputs/duration_avg_s: 0.0008174596715291016 - generator_perf/generate/process_inputs/duration_max_s: 0.0015506240129470824 - generator_perf/generate/total_duration_avg_s: 0.03904764083672323 - generator_perf/generate/total_duration_max_s: 2.713202542960644 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.616605307906866 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.616605307906866 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.8362105339765549 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.8362105339765549 - groups/rate_dropped: 0.13333333333333333 - main/continuous_rollouts/count_rollout_iterations: 26.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.19525995676716168 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.8206367697566748 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.024054497838593446 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.026767990551888943 - main_perf/continuous_rollouts/total_duration_avg_s: 0.2286366457430025 - main_perf/continuous_rollouts/total_duration_max_s: 2.860605468042195 - main_perf/continuous_training/drop_weights/duration_avg_s: 1.0336399041116238 - main_perf/continuous_training/drop_weights/duration_max_s: 1.0336399041116238 - main_perf/continuous_training/push_weights/duration_avg_s: 2.9109719218686223 - main_perf/continuous_training/push_weights/duration_max_s: 2.9109719218686223 - main_perf/continuous_training/total_duration_avg_s: 6.858952178619802 - main_perf/continuous_training/total_duration_max_s: 6.858952178619802 - main_perf/continuous_training/train_step/duration_avg_s: 0.16809434350579977 - main_perf/continuous_training/train_step/duration_max_s: 0.16809434350579977 - main_perf/continuous_training/update_weights/duration_avg_s: 2.7380752423778176 - main_perf/continuous_training/update_weights/duration_max_s: 2.7380752423778176 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.008168723434209824 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.008168723434209824 - reference_perf/forward/avg_sequence_length: 227.76923076923077 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.0001350679936317297 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00015566591173410416 - reference_perf/forward/count_forward_passes: 26.0 - reference_perf/forward/forward/duration_avg_s: 0.015890612589338653 - reference_perf/forward/forward/duration_max_s: 0.017756369896233082 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00043352675409271166 - reference_perf/forward/garbage_collection/duration_max_s: 0.000504685565829277 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.2578445581289438 - reference_perf/forward/memory_peak_max_gb: 5.610745906829834 - reference_perf/forward/to_device/duration_avg_s: 0.0001331804535136773 - reference_perf/forward/to_device/duration_max_s: 0.00016319844871759415 - reference_perf/forward/total_duration_avg_s: 0.016594240979219858 - reference_perf/forward/total_duration_max_s: 0.018541280180215836 - rl_trainer/avg_loss: 0.4552195072174072 - rl_trainer/learning_rate: 9.91991991991992e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005233949050307274 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005233949050307274 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0004945909604430199 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0004945909604430199 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.9025243762880564 - rl_trainer_perf/push_weights/total_duration_max_s: 2.9025243762880564 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.901504196226597 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.901504196226597 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14426214713603258 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.14426214713603258 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0024637067690491676 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0024637067690491676 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017849319614470005 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017849319614470005 - rl_trainer_perf/step/total_duration_avg_s: 0.16457676701247692 - rl_trainer_perf/step/total_duration_max_s: 0.16457676701247692 -============================== - -[ReferenceModel-0/1] 2025-11-19 07:53:08 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:08 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:08 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:08 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:08 INFO [GC] Performing periodic GC collection took 0.00 seconds -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[TRAINING] Step 10: Starting training -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 261] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 10 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 8/9 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 262] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 263] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 8 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags![ReferenceModel-0/1] 2025-11-19 07:53:09 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:09 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:09 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:09 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 264] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 265] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 266] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 267] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags![ReferenceModel-0/1] 2025-11-19 07:53:09 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 268] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 269] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 269] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 270] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 270] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 271] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ -[ReferenceModel-0/1] 2025-11-19 07:53:09 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:10 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:10 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:10 INFO Pushing weights for policy version 11 -[ReferenceModel-0/1] 2025-11-19 07:53:10 INFO [GC] Performing periodic GC collection took 0.00 seconds - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 272] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 273] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 274] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 275] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:10 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:10 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:10 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 276] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 277] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 278] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 278] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 279] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:10 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:11 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:11 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:11 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 280] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 281] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 282] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 283] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:11 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:11 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 284] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 284] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 285] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: Ace - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 286] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 286] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 287] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:12 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:12 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:12 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 287] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 288] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 289] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 290] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 291] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 9 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:12 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:12 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:12 INFO Completed weights push in 2.39 seconds -[Generator-0/1] 2025-11-19 07:53:12 INFO [Generator] Fetching weights for v11 to shared memory -INFO 11-19 07:53:15 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:53:15 INFO Weight update completed (now v11) -[ReferenceModel-0/1] 2025-11-19 07:53:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:15 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 292] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropping weights @ version 10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 293] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=10 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 294] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 264, Trainable tokens: 19 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 20, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100 -✓ 16/17 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 295] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:16 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 296] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 297] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 298] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 299] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:16 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -Dropped weights @ version 10, took 1.00 seconds -WandbBackend: Logged 97 metrics at step 11 -=== [global_reduce] - METRICS STEP 11 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 136.0 - buffer/episodes_accepted: 136.0 - buffer/episodes_generated: 136.0 - buffer/evict/sum_episodes_evicted: 103.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.06504065040650407 - buffer/sample/avg_sampled_policy_age: 0.75 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0016027912497520447 - buffer_perf/sample/total_duration_max_s: 0.0016027912497520447 - episode/total_tokens: 225.61783439490446 - episode/turns: 1.0063694267515924 - game/average_turns: 1.0063694267515924 - game/env_reward: -0.18471337579617833 - game/games_played: 157.0 - game/invalid_action_penalty: 154.0 - game/invalid_action_rate: 0.9746835443037974 - game/missing_answer_tags: 154.0 - game/win_rate: 0.37579617834394907 - generator/generate/avg_tokens_generated: 3.2929936305732483 - generator/generate/count_requests: 158.0 - generator/generate/count_sequences_completed: 157.0 - generator/generate/sum_tokens_generated: 517.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5365145690739155 - generator_perf/_fetch_weights/total_duration_max_s: 1.5365145690739155 - generator_perf/generate/generate/duration_avg_s: 0.03170215900688414 - generator_perf/generate/generate/duration_max_s: 2.539927734375 - generator_perf/generate/process_inputs/duration_avg_s: 0.0008663677986990065 - generator_perf/generate/process_inputs/duration_max_s: 0.0016961920261383057 - generator_perf/generate/total_duration_avg_s: 0.032662304334327666 - generator_perf/generate/total_duration_max_s: 2.5411270624250175 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5309115378186107 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5309115378186107 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.735669338144362 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.735669338144362 - groups/rate_dropped: 0.15 - main/continuous_rollouts/count_rollout_iterations: 34.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.16352960073854775 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.629261264577508 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.0227731532033752 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.02478948887437582 - main_perf/continuous_rollouts/total_duration_avg_s: 0.19508033455349505 - main_perf/continuous_rollouts/total_duration_max_s: 2.668202784843743 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.9974711611866951 - main_perf/continuous_training/drop_weights/duration_max_s: 0.9974711611866951 - main_perf/continuous_training/push_weights/duration_avg_s: 2.391718737781048 - main_perf/continuous_training/push_weights/duration_max_s: 2.391718737781048 - main_perf/continuous_training/total_duration_avg_s: 7.699292557314038 - main_perf/continuous_training/total_duration_max_s: 7.699292557314038 - main_perf/continuous_training/train_step/duration_avg_s: 1.767960336059332 - main_perf/continuous_training/train_step/duration_max_s: 1.767960336059332 - main_perf/continuous_training/update_weights/duration_avg_s: 2.5384505316615105 - main_perf/continuous_training/update_weights/duration_max_s: 2.5384505316615105 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0036904290318489075 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0036904290318489075 - reference_perf/forward/avg_sequence_length: 227.5 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00010818462161456838 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00011912081390619278 - reference_perf/forward/count_forward_passes: 34.0 - reference_perf/forward/forward/duration_avg_s: 0.014750594492344296 - reference_perf/forward/forward/duration_max_s: 0.015172318555414677 - reference_perf/forward/garbage_collection/duration_avg_s: 0.000357143471346182 - reference_perf/forward/garbage_collection/duration_max_s: 0.00041738245636224747 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.2575397771947524 - reference_perf/forward/memory_peak_max_gb: 5.610745906829834 - reference_perf/forward/to_device/duration_avg_s: 0.00010979969930999419 - reference_perf/forward/to_device/duration_max_s: 0.00012672320008277893 - reference_perf/forward/total_duration_avg_s: 0.015327359659268576 - reference_perf/forward/total_duration_max_s: 0.0158219737932086 - rl_trainer/avg_loss: 0.2824368476867676 - rl_trainer/learning_rate: 9.90990990990991e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005311965942382812 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005311965942382812 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0004889219999313354 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0004889219999313354 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.3899440364912152 - rl_trainer_perf/push_weights/total_duration_max_s: 2.3899440364912152 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.3889218447729945 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.3889218447729945 - rl_trainer_perf/step/forward_backward/duration_avg_s: 1.7445179102942348 - rl_trainer_perf/step/forward_backward/duration_max_s: 1.7445179102942348 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 4.2438507080078125e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.210396766662598 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0023755934089422226 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0023755934089422226 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017967980355024338 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017967980355024338 - rl_trainer_perf/step/total_duration_avg_s: 1.764863076619804 - rl_trainer_perf/step/total_duration_max_s: 1.764863076619804 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:53:16 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:16 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:16 INFO Pushing weights for policy version 12 -[ReferenceModel-0/1] 2025-11-19 07:53:16 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:16 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 11: Starting training -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 300] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 301] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 302] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 303] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ -[ReferenceModel-0/1] 2025-11-19 07:53:16 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:17 INFO [GC] Performing periodic GC collection took 0.00 seconds - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 303] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 304] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 304] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 305] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 306] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 307] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:17 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 308] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 309] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 310] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 310] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 311] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:18 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 312] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 312] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 313] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 314] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 7 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 315] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:18 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:18 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:18 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 316] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 317] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 317] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 318] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 7 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 319] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[TitanTrainer-0/1] 2025-11-19 07:53:18 INFO Completed weights push in 2.47 seconds -[Generator-0/1] 2025-11-19 07:53:18 INFO [Generator] Fetching weights for v12 to shared memory -INFO 11-19 07:53:21 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:53:21 INFO Weight update completed (now v12) -[ReferenceModel-0/1] 2025-11-19 07:53:21 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:21 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:21 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 319] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropping weights @ version 11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 320] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=11 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 321] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 322] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 323] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:21 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:22 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:22 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 324] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 6, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 6, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 324] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 325] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 326] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 327] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:22 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 327] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 328] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -Dropped weights @ version 11, took 1.10 seconds -WandbBackend: Logged 97 metrics at step 12 -=== [global_reduce] - METRICS STEP 12 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 80.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 104.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.05161290322580645 - buffer/sample/avg_sampled_policy_age: 0.75 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0014828993007540703 - buffer_perf/sample/total_duration_max_s: 0.0014828993007540703 - episode/total_tokens: 225.66379310344828 - episode/turns: 1.0086206896551724 - game/average_turns: 1.0086206896551724 - game/env_reward: -0.2413793103448276 - game/games_played: 116.0 - game/invalid_action_penalty: 115.0 - game/invalid_action_rate: 0.9829059829059829 - game/missing_answer_tags: 115.0 - game/win_rate: 0.35344827586206895 - generator/generate/avg_tokens_generated: 3.247863247863248 - generator/generate/count_requests: 116.0 - generator/generate/count_sequences_completed: 117.0 - generator/generate/sum_tokens_generated: 380.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5821384768933058 - generator_perf/_fetch_weights/total_duration_max_s: 1.5821384768933058 - generator_perf/generate/generate/duration_avg_s: 0.03861120194655198 - generator_perf/generate/generate/duration_max_s: 2.666344482421875 - generator_perf/generate/process_inputs/duration_avg_s: 0.0008447633514789722 - generator_perf/generate/process_inputs/duration_max_s: 0.0011910719871520996 - generator_perf/generate/total_duration_avg_s: 0.03956875517829242 - generator_perf/generate/total_duration_max_s: 2.6674062424302103 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5679172901436687 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5679172901436687 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7925990084186196 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7925990084186196 - groups/rate_dropped: 0.27586206896551724 - main/continuous_rollouts/count_rollout_iterations: 20.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.19834406663929777 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.831002746708691 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.02357629225589335 - 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main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0033993683755397797 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0033993683755397797 - reference_perf/forward/avg_sequence_length: 227.85714285714286 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00011234465055167674 - reference_perf/forward/compute_logprobs/duration_max_s: 0.0001304876059293747 - reference_perf/forward/count_forward_passes: 21.0 - reference_perf/forward/forward/duration_avg_s: 0.015406877081841231 - reference_perf/forward/forward/duration_max_s: 0.01687092613428831 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0003657527267932892 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004072170704603195 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.25804920196533204 - reference_perf/forward/memory_peak_max_gb: 5.603953838348389 - reference_perf/forward/to_device/duration_avg_s: 0.0001074871513992548 - reference_perf/forward/to_device/duration_max_s: 0.00012354832142591476 - reference_perf/forward/total_duration_avg_s: 0.01599418492987752 - reference_perf/forward/total_duration_max_s: 0.01749495230615139 - rl_trainer/avg_loss: -0.31367698311805725 - rl_trainer/learning_rate: 9.899899899899901e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005380669608712196 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005380669608712196 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005010301247239113 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005010301247239113 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.4705874640494585 - rl_trainer_perf/push_weights/total_duration_max_s: 2.4705874640494585 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.4695449713617563 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.4695449713617563 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14296968560665846 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.14296968560665846 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0024758558720350266 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0024758558720350266 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01828050520271063 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01828050520271063 - rl_trainer_perf/step/total_duration_avg_s: 0.1637282995507121 - rl_trainer_perf/step/total_duration_max_s: 0.1637282995507121 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:53:22 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:22 INFO Pushing weights for policy version 13 -[ReferenceModel-0/1] 2025-11-19 07:53:22 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 12: Starting training -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 329] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 329] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 330] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 331] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 331] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 332] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 6 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ -[ReferenceModel-0/1] 2025-11-19 07:53:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:23 INFO [GC] Performing periodic GC collection took 0.00 seconds - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 333] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 334] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 5, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 5, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 335] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 336] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:24 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 337] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 338] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 338] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 339] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 340] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:24 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:24 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:24 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:25 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 341] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 342] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 343] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 344] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:25 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:25 INFO Completed weights push in 2.47 seconds -[Generator-0/1] 2025-11-19 07:53:25 INFO [Generator] Fetching weights for v13 to shared memory -INFO 11-19 07:53:28 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:53:28 INFO Weight update completed (now v13) -[ReferenceModel-0/1] 2025-11-19 07:53:28 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 345] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 345] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 -Dropping weights @ version 12 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 346] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 347] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 347] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 348] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 7 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:28 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:28 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:28 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 349] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 350] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropped weights @ version 12, took 0.72 seconds -WandbBackend: Logged 97 metrics at step 13 -=== [global_reduce] - METRICS STEP 13 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 72.0 - buffer/episodes_accepted: 72.0 - buffer/episodes_generated: 72.0 - buffer/evict/sum_episodes_evicted: 131.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.07692307692307693 - buffer/sample/avg_sampled_policy_age: 0.5 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0020089279860258102 - buffer_perf/sample/total_duration_max_s: 0.0020089279860258102 - episode/total_tokens: 225.7078651685393 - episode/turns: 1.0112359550561798 - game/average_turns: 1.0112359550561798 - game/env_reward: -0.15730337078651685 - game/games_played: 89.0 - game/invalid_action_penalty: 87.0 - game/invalid_action_rate: 0.9666666666666667 - game/missing_answer_tags: 87.0 - game/win_rate: 0.4044943820224719 - generator/generate/avg_tokens_generated: 3.311111111111111 - generator/generate/count_requests: 91.0 - generator/generate/count_sequences_completed: 90.0 - generator/generate/sum_tokens_generated: 298.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.6058514630421996 - generator_perf/_fetch_weights/total_duration_max_s: 1.6058514630421996 - generator_perf/generate/generate/duration_avg_s: 0.046244633950127484 - generator_perf/generate/generate/duration_max_s: 2.742998046875 - generator_perf/generate/process_inputs/duration_avg_s: 0.000914264886909061 - generator_perf/generate/process_inputs/duration_max_s: 0.001395967960357666 - generator_perf/generate/total_duration_avg_s: 0.04725761741425118 - generator_perf/generate/total_duration_max_s: 2.7445367988348006 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.6016634292900562 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.6016634292900562 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.804621989838779 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.804621989838779 - groups/rate_dropped: 0.22727272727272727 - main/continuous_rollouts/count_rollout_iterations: 18.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.22113219300365966 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.8366301339119673 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04689368910880552 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.4584850100800395 - main_perf/continuous_rollouts/total_duration_avg_s: 0.2690793898604486 - main_perf/continuous_rollouts/total_duration_max_s: 2.872882534749806 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.7169177392497659 - main_perf/continuous_training/drop_weights/duration_max_s: 0.7169177392497659 - main_perf/continuous_training/push_weights/duration_avg_s: 2.4705320401117206 - main_perf/continuous_training/push_weights/duration_max_s: 2.4705320401117206 - main_perf/continuous_training/total_duration_avg_s: 6.110407005064189 - main_perf/continuous_training/total_duration_max_s: 6.110407005064189 - main_perf/continuous_training/train_step/duration_avg_s: 0.17598295211791992 - main_perf/continuous_training/train_step/duration_max_s: 0.17598295211791992 - main_perf/continuous_training/update_weights/duration_avg_s: 2.7421891037374735 - main_perf/continuous_training/update_weights/duration_max_s: 2.7421891037374735 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.004784167744219303 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.004784167744219303 - reference_perf/forward/avg_sequence_length: 228.41176470588235 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00010661961924698617 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00011796969920396805 - reference_perf/forward/count_forward_passes: 17.0 - reference_perf/forward/forward/duration_avg_s: 0.039422974456101656 - reference_perf/forward/forward/duration_max_s: 0.4510700302198529 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0003519405921300252 - reference_perf/forward/garbage_collection/duration_max_s: 0.000402180477976799 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.2584202554490831 - reference_perf/forward/memory_peak_max_gb: 5.590369701385498 - reference_perf/forward/to_device/duration_avg_s: 0.00010741740051243041 - reference_perf/forward/to_device/duration_max_s: 0.00012742262333631516 - reference_perf/forward/total_duration_avg_s: 0.039990635174844 - reference_perf/forward/total_duration_max_s: 0.451705614104867 - rl_trainer/avg_loss: 0.35600990056991577 - rl_trainer/learning_rate: 9.88988988988989e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006005009636282921 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006005009636282921 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.000552598387002945 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.000552598387002945 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.4687445778399706 - rl_trainer_perf/push_weights/total_duration_max_s: 2.4687445778399706 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.4675887944176793 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.4675887944176793 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1505023641511798 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.1505023641511798 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0033124657347798347 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0033124657347798347 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018159099854528904 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018159099854528904 - rl_trainer_perf/step/total_duration_avg_s: 0.17197625245898962 - rl_trainer_perf/step/total_duration_max_s: 0.17197625245898962 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:53:28 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:28 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:28 INFO Pushing weights for policy version 14 -[TRAINING] Step 13: Starting training -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 351] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 351] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 352] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 353] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 3 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 353] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 354] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ -[ReferenceModel-0/1] 2025-11-19 07:53:29 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:29 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:29 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:29 INFO [GC] Performing periodic GC collection took 0.00 seconds - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 355] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 356] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 6, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 6, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 357] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 358] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:29 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:29 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:29 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:30 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 359] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 4 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 360] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 361] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 362] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:30 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:30 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:30 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 363] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 363] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 364] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 365] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 9 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 366] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:30 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:30 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:30 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:31 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 367] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 368] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 369] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 370] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:31 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:31 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:31 INFO Completed weights push in 2.45 seconds -[Generator-0/1] 2025-11-19 07:53:31 INFO [Generator] Fetching weights for v14 to shared memory -INFO 11-19 07:53:33 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:53:33 INFO Weight update completed (now v14) -[ReferenceModel-0/1] 2025-11-19 07:53:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:34 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 371] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=13 -Dropping weights @ version 13 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 372] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 373] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 374] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:34 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 374] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 375] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 376] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 376] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 377] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 378] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:34 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropped weights @ version 13, took 0.93 seconds -WandbBackend: Logged 95 metrics at step 14 -=== [global_reduce] - METRICS STEP 14 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 92.0 - buffer/episodes_accepted: 92.0 - buffer/episodes_generated: 92.0 - buffer/evict/sum_episodes_evicted: 87.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.0898876404494382 - buffer/sample/avg_sampled_policy_age: 0.75 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0014130640774965286 - buffer_perf/sample/total_duration_max_s: 0.0014130640774965286 - episode/total_tokens: 225.4375 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.25892857142857145 - game/games_played: 112.0 - game/invalid_action_penalty: 110.0 - game/invalid_action_rate: 0.9821428571428571 - game/missing_answer_tags: 110.0 - game/win_rate: 0.3392857142857143 - generator/generate/avg_tokens_generated: 3.25 - generator/generate/count_requests: 112.0 - generator/generate/count_sequences_completed: 112.0 - generator/generate/sum_tokens_generated: 364.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5068659875541925 - generator_perf/_fetch_weights/total_duration_max_s: 1.5068659875541925 - generator_perf/generate/generate/duration_avg_s: 0.0374863973089627 - generator_perf/generate/generate/duration_max_s: 2.480422607421875 - generator_perf/generate/process_inputs/duration_avg_s: 0.0008626494272612037 - generator_perf/generate/process_inputs/duration_max_s: 0.001778656005859375 - generator_perf/generate/total_duration_avg_s: 0.03844866902161865 - generator_perf/generate/total_duration_max_s: 2.4819965914636852 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5070276027545333 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5070276027545333 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7386469207704067 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7386469207704067 - groups/rate_dropped: 0.17857142857142858 - main/continuous_rollouts/count_rollout_iterations: 23.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.18651967572181352 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.569325759075582 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.02223903450952924 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.024101856164634228 - main_perf/continuous_rollouts/total_duration_avg_s: 0.21698957698286644 - main_perf/continuous_rollouts/total_duration_max_s: 2.6101689841598272 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.9267432102933526 - main_perf/continuous_training/drop_weights/duration_max_s: 0.9267432102933526 - main_perf/continuous_training/push_weights/duration_avg_s: 2.451880537904799 - main_perf/continuous_training/push_weights/duration_max_s: 2.451880537904799 - main_perf/continuous_training/total_duration_avg_s: 6.073295596987009 - main_perf/continuous_training/total_duration_max_s: 6.073295596987009 - main_perf/continuous_training/train_step/duration_avg_s: 0.17897714488208294 - main_perf/continuous_training/train_step/duration_max_s: 0.17897714488208294 - main_perf/continuous_training/update_weights/duration_avg_s: 2.512547207996249 - main_perf/continuous_training/update_weights/duration_max_s: 2.512547207996249 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0031451722607016563 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0031451722607016563 - reference_perf/forward/avg_sequence_length: 226.43478260869566 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00010614979850209278 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00012560002505779266 - reference_perf/forward/count_forward_passes: 23.0 - reference_perf/forward/forward/duration_avg_s: 0.01491101017302793 - reference_perf/forward/forward/duration_max_s: 0.01631157658994198 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0003467193278281585 - reference_perf/forward/garbage_collection/duration_max_s: 0.00037288665771484375 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.2563339109006135 - reference_perf/forward/memory_peak_max_gb: 5.386606216430664 - reference_perf/forward/to_device/duration_avg_s: 0.00010625078626300977 - reference_perf/forward/to_device/duration_max_s: 0.00011611543595790863 - reference_perf/forward/total_duration_avg_s: 0.015471743338781855 - reference_perf/forward/total_duration_max_s: 0.016879328526556492 - rl_trainer/avg_loss: 0.5064523220062256 - rl_trainer/learning_rate: 9.879879879879881e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005747321993112564 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005747321993112564 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005415612831711769 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005415612831711769 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.4501909147948027 - rl_trainer_perf/push_weights/total_duration_max_s: 2.4501909147948027 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.4490717062726617 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.4490717062726617 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1548901703208685 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.1548901703208685 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0032362602651119232 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0032362602651119232 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017900368198752403 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017900368198752403 - rl_trainer_perf/step/total_duration_avg_s: 0.1760293822735548 - rl_trainer_perf/step/total_duration_max_s: 0.1760293822735548 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:53:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:35 INFO Pushing weights for policy version 15 -[ReferenceModel-0/1] 2025-11-19 07:53:35 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:35 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 14: Starting training -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 379] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 380] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 381] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 3 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 382] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text ---[ReferenceModel-0/1] 2025-11-19 07:53:35 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:35 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:35 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:35 INFO [GC] Performing periodic GC collection took 0.00 seconds - -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 383] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 384] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 385] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 386] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:35 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:36 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:36 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:36 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 387] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 388] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 389] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 6, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 6, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 390] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:36 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:36 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 390] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 391] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 392] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 392] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 393] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 394] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:36 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:37 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 395] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 395] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 396] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 397] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 398] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:37 INFO Completed weights push in 2.66 seconds -[Generator-0/1] 2025-11-19 07:53:37 INFO [Generator] Fetching weights for v15 to shared memory -INFO 11-19 07:53:40 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:53:40 INFO Weight update completed (now v15) -[ReferenceModel-0/1] 2025-11-19 07:53:40 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:40 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 399] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -Dropping weights @ version 14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 400] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=14 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 401] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 8 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 402] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 10 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:40 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:40 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:40 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 8/9 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 403] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 404] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 405] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 405] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 406] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 406] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropped weights @ version 14, took 0.93 seconds -WandbBackend: Logged 97 metrics at step 15 -=== [global_reduce] - METRICS STEP 15 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 92.0 - buffer/episodes_accepted: 92.0 - buffer/episodes_generated: 92.0 - buffer/evict/sum_episodes_evicted: 75.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.07547169811320754 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0015853149816393852 - buffer_perf/sample/total_duration_max_s: 0.0015853149816393852 - episode/total_tokens: 225.46902654867256 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.20353982300884957 - game/games_played: 113.0 - game/invalid_action_penalty: 111.0 - game/invalid_action_rate: 0.9823008849557522 - game/missing_answer_tags: 111.0 - game/win_rate: 0.36283185840707965 - generator/generate/avg_tokens_generated: 3.327433628318584 - generator/generate/count_requests: 113.0 - generator/generate/count_sequences_completed: 113.0 - generator/generate/sum_tokens_generated: 376.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.6485850447788835 - generator_perf/_fetch_weights/total_duration_max_s: 1.6485850447788835 - generator_perf/generate/generate/duration_avg_s: 0.03894365704798065 - generator_perf/generate/generate/duration_max_s: 2.63611865234375 - generator_perf/generate/process_inputs/duration_avg_s: 0.0008336283180170352 - generator_perf/generate/process_inputs/duration_max_s: 0.0016212480068206786 - generator_perf/generate/total_duration_avg_s: 0.03987866193271627 - generator_perf/generate/total_duration_max_s: 2.637594556361437 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.6386007275432348 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.6386007275432348 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7411186117678881 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7411186117678881 - groups/rate_dropped: 0.17857142857142858 - main/continuous_rollouts/count_rollout_iterations: 23.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.19737938156218401 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.7463299287483096 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.023565675698868607 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.02800446655601263 - main_perf/continuous_rollouts/total_duration_avg_s: 0.22888687286259873 - main_perf/continuous_rollouts/total_duration_max_s: 2.785454065538943 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.9332394953817129 - main_perf/continuous_training/drop_weights/duration_max_s: 0.9332394953817129 - main_perf/continuous_training/push_weights/duration_avg_s: 2.6608519572764635 - main_perf/continuous_training/push_weights/duration_max_s: 2.6608519572764635 - main_perf/continuous_training/total_duration_avg_s: 6.423637102358043 - main_perf/continuous_training/total_duration_max_s: 6.423637102358043 - main_perf/continuous_training/train_step/duration_avg_s: 0.17126156762242317 - main_perf/continuous_training/train_step/duration_max_s: 0.17126156762242317 - main_perf/continuous_training/update_weights/duration_avg_s: 2.6544502349570394 - main_perf/continuous_training/update_weights/duration_max_s: 2.6544502349570394 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0038315029814839363 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0038315029814839363 - reference_perf/forward/avg_sequence_length: 226.65217391304347 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.0001101476423766302 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00014996714890003204 - reference_perf/forward/count_forward_passes: 23.0 - reference_perf/forward/forward/duration_avg_s: 0.015452575950842836 - reference_perf/forward/forward/duration_max_s: 0.019825639203190804 - reference_perf/forward/garbage_collection/duration_avg_s: 0.000363118015229702 - reference_perf/forward/garbage_collection/duration_max_s: 0.00043004192411899567 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.25658000033834705 - reference_perf/forward/memory_peak_max_gb: 5.386606216430664 - reference_perf/forward/to_device/duration_avg_s: 0.00010855285369831583 - reference_perf/forward/to_device/duration_max_s: 0.00013014767318964005 - reference_perf/forward/total_duration_avg_s: 0.016036014275058456 - reference_perf/forward/total_duration_max_s: 0.020471968688070774 - rl_trainer/avg_loss: 0.440563827753067 - rl_trainer/learning_rate: 9.86986986986987e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006136707961559296 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006136707961559296 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005455370992422104 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005455370992422104 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.6591488625854254 - rl_trainer_perf/push_weights/total_duration_max_s: 2.6591488625854254 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.657986531034112 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.657986531034112 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1461786227300763 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.1461786227300763 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209384441375732 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0032169409096240997 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0032169409096240997 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01819936092942953 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01819936092942953 - rl_trainer_perf/step/total_duration_avg_s: 0.16759767848998308 - rl_trainer_perf/step/total_duration_max_s: 0.16759767848998308 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:53:41 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:41 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:41 INFO Pushing weights for policy version 16 -[ReferenceModel-0/1] 2025-11-19 07:53:41 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 15: Starting training -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 407] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 408] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 408] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 409] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 410] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ -[ReferenceModel-0/1] 2025-11-19 07:53:41 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:41 INFO [GC] Performing periodic GC collection took 0.00 seconds - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 411] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 412] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 412] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 413] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 5, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 5, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 413] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 414] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:42 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:42 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:42 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:43 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 415] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 416] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 417] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 418] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:43 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:43 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:43 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:43 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 419] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 420] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 421] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 422] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 2 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:43 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:43 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:43 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:44 INFO Completed weights push in 2.79 seconds -[Generator-0/1] 2025-11-19 07:53:44 INFO [Generator] Fetching weights for v16 to shared memory - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 423] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 424] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 425] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 426] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -INFO 11-19 07:53:46 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:53:46 INFO Weight update completed (now v16) -[ReferenceModel-0/1] 2025-11-19 07:53:46 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:47 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:47 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=15 -Dropping weights @ version 15 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 427] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 428] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 429] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 430] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:47 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:47 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:47 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:47 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 431] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 432] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 433] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 10 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 8/9 trainable positions have valid targets -Dropped weights @ version 15, took 0.99 seconds -WandbBackend: Logged 97 metrics at step 16 -=== [global_reduce] - METRICS STEP 16 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 92.0 - buffer/episodes_accepted: 92.0 - buffer/episodes_generated: 92.0 - buffer/evict/sum_episodes_evicted: 86.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.07142857142857142 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0018214043229818344 - buffer_perf/sample/total_duration_max_s: 0.0018214043229818344 - episode/total_tokens: 225.9056603773585 - episode/turns: 1.0188679245283019 - game/average_turns: 1.0188679245283019 - game/env_reward: -0.16037735849056603 - game/games_played: 106.0 - game/invalid_action_penalty: 103.0 - game/invalid_action_rate: 0.9537037037037037 - game/missing_answer_tags: 103.0 - game/win_rate: 0.36792452830188677 - generator/generate/avg_tokens_generated: 3.4166666666666665 - generator/generate/count_requests: 107.0 - generator/generate/count_sequences_completed: 108.0 - generator/generate/sum_tokens_generated: 369.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5824655629694462 - generator_perf/_fetch_weights/total_duration_max_s: 1.5824655629694462 - generator_perf/generate/generate/duration_avg_s: 0.03950772927425527 - generator_perf/generate/generate/duration_max_s: 2.557947021484375 - generator_perf/generate/process_inputs/duration_avg_s: 0.0007511745176549692 - generator_perf/generate/process_inputs/duration_max_s: 0.001484768033027649 - generator_perf/generate/total_duration_avg_s: 0.0403485120881685 - generator_perf/generate/total_duration_max_s: 2.559225997455418 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5764999128878117 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5764999128878117 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7476190431043506 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7476190431043506 - groups/rate_dropped: 0.1111111111111111 - main/continuous_rollouts/count_rollout_iterations: 23.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.19830309610384014 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.6497858185321093 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04332772059285123 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.4818786382675171 - main_perf/continuous_rollouts/total_duration_avg_s: 0.24897096320413625 - main_perf/continuous_rollouts/total_duration_max_s: 2.6883287131786346 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.9931356254965067 - main_perf/continuous_training/drop_weights/duration_max_s: 0.9931356254965067 - main_perf/continuous_training/push_weights/duration_avg_s: 2.7960518850013614 - main_perf/continuous_training/push_weights/duration_max_s: 2.7960518850013614 - main_perf/continuous_training/total_duration_avg_s: 6.567807460203767 - main_perf/continuous_training/total_duration_max_s: 6.567807460203767 - main_perf/continuous_training/train_step/duration_avg_s: 0.17208359576761723 - main_perf/continuous_training/train_step/duration_max_s: 0.17208359576761723 - main_perf/continuous_training/update_weights/duration_avg_s: 2.6023597568273544 - main_perf/continuous_training/update_weights/duration_max_s: 2.6023597568273544 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.004174773581326008 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.004174773581326008 - reference_perf/forward/avg_sequence_length: 229.16666666666666 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00011070592639346917 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00014070328325033188 - reference_perf/forward/count_forward_passes: 24.0 - reference_perf/forward/forward/duration_avg_s: 0.034868906058060624 - reference_perf/forward/forward/duration_max_s: 0.4736981373280287 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0003709263789157073 - reference_perf/forward/garbage_collection/duration_max_s: 0.000558026134967804 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.2594265143076579 - reference_perf/forward/memory_peak_max_gb: 5.780549049377441 - reference_perf/forward/to_device/duration_avg_s: 0.00010103899209449689 - reference_perf/forward/to_device/duration_max_s: 0.00015110895037651062 - reference_perf/forward/total_duration_avg_s: 0.0354532499720032 - reference_perf/forward/total_duration_max_s: 0.47450503148138523 - rl_trainer/avg_loss: 0.6331473588943481 - rl_trainer/learning_rate: 9.85985985985986e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.000567941926419735 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.000567941926419735 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005210116505622864 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005210116505622864 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.79432207159698 - rl_trainer_perf/push_weights/total_duration_max_s: 2.79432207159698 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.793230263516307 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.793230263516307 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14690878149122 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.14690878149122 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003135496750473976 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003135496750473976 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01847302634268999 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01847302634268999 - rl_trainer_perf/step/total_duration_avg_s: 0.16851984802633524 - rl_trainer_perf/step/total_duration_max_s: 0.16851984802633524 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:53:47 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:47 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:48 INFO Pushing weights for policy version 17 -[ReferenceModel-0/1] 2025-11-19 07:53:48 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:48 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 16: Starting training -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 434] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 223, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 435] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 436] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 437] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:48 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:48 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:48 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 437] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 438] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 439] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 440] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 441] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:48 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:49 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 441] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 442] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 443] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 444] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 7 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 444] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 445] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 7 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:49 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:49 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:49 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:49 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 446] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 447] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 448] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 449] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 8 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:49 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:49 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:50 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 450] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 451] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 452] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 453] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 2 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:50 INFO Completed weights push in 2.75 seconds -[Generator-0/1] 2025-11-19 07:53:50 INFO [Generator] Fetching weights for v17 to shared memory -[ReferenceModel-0/1] 2025-11-19 07:53:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -INFO 11-19 07:53:53 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:53:53 INFO Weight update completed (now v17) - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 454] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 455] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 456] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=16 -Dropping weights @ version 16 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 457] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:53 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:53 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:53 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 458] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 458] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 459] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 460] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 9 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 461] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:54 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:54 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:54 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 462] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 463] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -Dropped weights @ version 16, took 1.07 seconds -WandbBackend: Logged 95 metrics at step 17 -=== [global_reduce] - METRICS STEP 17 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 108.0 - buffer/episodes_accepted: 108.0 - buffer/episodes_generated: 108.0 - buffer/evict/sum_episodes_evicted: 94.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.07207207207207207 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.001843716949224472 - buffer_perf/sample/total_duration_max_s: 0.001843716949224472 - episode/total_tokens: 225.65833333333333 - episode/turns: 1.0083333333333333 - game/average_turns: 1.0083333333333333 - game/env_reward: -0.05 - game/games_played: 120.0 - game/invalid_action_penalty: 117.0 - game/invalid_action_rate: 0.9669421487603306 - game/missing_answer_tags: 117.0 - game/win_rate: 0.45 - generator/generate/avg_tokens_generated: 3.3388429752066116 - generator/generate/count_requests: 122.0 - generator/generate/count_sequences_completed: 121.0 - generator/generate/sum_tokens_generated: 404.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5383301423862576 - generator_perf/_fetch_weights/total_duration_max_s: 1.5383301423862576 - generator_perf/generate/generate/duration_avg_s: 0.0371608508638114 - generator_perf/generate/generate/duration_max_s: 2.595471435546875 - generator_perf/generate/process_inputs/duration_avg_s: 0.0008411432741082864 - generator_perf/generate/process_inputs/duration_max_s: 0.0014341440200805664 - generator_perf/generate/total_duration_avg_s: 0.03809751704648285 - generator_perf/generate/total_duration_max_s: 2.597056395560503 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5384375769644976 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5384375769644976 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.8214916875585914 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.8214916875585914 - groups/rate_dropped: 0.13333333333333333 - main/continuous_rollouts/count_rollout_iterations: 27.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.18497976438412744 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.7553462786599994 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.02381593502919983 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.027622797526419163 - main_perf/continuous_rollouts/total_duration_avg_s: 0.2184563910949134 - main_perf/continuous_rollouts/total_duration_max_s: 2.7946762470528483 - main_perf/continuous_training/drop_weights/duration_avg_s: 1.0684795742854476 - main_perf/continuous_training/drop_weights/duration_max_s: 1.0684795742854476 - main_perf/continuous_training/push_weights/duration_avg_s: 2.759557807818055 - main_perf/continuous_training/push_weights/duration_max_s: 2.759557807818055 - main_perf/continuous_training/total_duration_avg_s: 6.627354602329433 - main_perf/continuous_training/total_duration_max_s: 6.627354602329433 - main_perf/continuous_training/train_step/duration_avg_s: 0.170480502769351 - main_perf/continuous_training/train_step/duration_max_s: 0.170480502769351 - main_perf/continuous_training/update_weights/duration_avg_s: 2.624828364700079 - main_perf/continuous_training/update_weights/duration_max_s: 2.624828364700079 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.004006889648735523 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.004006889648735523 - reference_perf/forward/avg_sequence_length: 227.76923076923077 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00011523307945865851 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00016226526349782944 - reference_perf/forward/count_forward_passes: 26.0 - reference_perf/forward/forward/duration_avg_s: 0.016345710672724705 - reference_perf/forward/forward/duration_max_s: 0.01834894809871912 - reference_perf/forward/garbage_collection/duration_avg_s: 0.000368026765779807 - reference_perf/forward/garbage_collection/duration_max_s: 0.000555042177438736 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.2578445581289438 - reference_perf/forward/memory_peak_max_gb: 5.603953838348389 - reference_perf/forward/to_device/duration_avg_s: 9.572713707502071e-05 - reference_perf/forward/to_device/duration_max_s: 0.00013902131468057632 - reference_perf/forward/total_duration_avg_s: 0.016926402512651224 - reference_perf/forward/total_duration_max_s: 0.018885502591729164 - rl_trainer/avg_loss: 0.7547933459281921 - rl_trainer/learning_rate: 9.849849849849851e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005918378010392189 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005918378010392189 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005208700895309448 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005208700895309448 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.7543182587251067 - rl_trainer_perf/push_weights/total_duration_max_s: 2.7543182587251067 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.7532027270644903 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.7532027270644903 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14566203951835632 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.14566203951835632 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0031294580549001694 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0031294580549001694 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018406123854219913 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018406123854219913 - rl_trainer_perf/step/total_duration_avg_s: 0.16719987522810698 - rl_trainer_perf/step/total_duration_max_s: 0.16719987522810698 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:53:54 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:54 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:54 INFO Pushing weights for policy version 18 -[ReferenceModel-0/1] 2025-11-19 07:53:54 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:54 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[TRAINING] Step 17: Starting training -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 464] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 465] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 466] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 467] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ -[ReferenceModel-0/1] 2025-11-19 07:53:54 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:55 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:55 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:55 INFO [GC] Performing periodic GC collection took 0.00 seconds - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 468] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 469] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 4 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 470] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 471] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:55 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:55 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:56 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 472] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 4 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 472] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 473] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 474] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 475] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:56 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 476] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 476] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 477] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 478] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 479] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:53:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:53:57 INFO Completed weights push in 2.47 seconds -[Generator-0/1] 2025-11-19 07:53:57 INFO [Generator] Fetching weights for v18 to shared memory -INFO 11-19 07:53:59 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:53:59 INFO Weight update completed (now v18) - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 480] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 481] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 2 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 482] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 482] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropping weights @ version 17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 483] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:53:59 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:00 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:00 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:00 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=17 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 484] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 485] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 5 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 486] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 487] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:00 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:00 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:00 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 488] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 489] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 2 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropped weights @ version 17, took 1.08 seconds -WandbBackend: Logged 97 metrics at step 18 -=== [global_reduce] - METRICS STEP 18 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 92.0 - buffer/episodes_accepted: 92.0 - buffer/episodes_generated: 92.0 - buffer/evict/sum_episodes_evicted: 87.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.061068702290076333 - buffer/sample/avg_sampled_policy_age: 0.75 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0016975142061710358 - buffer_perf/sample/total_duration_max_s: 0.0016975142061710358 - episode/total_tokens: 225.38095238095238 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.19047619047619047 - game/games_played: 105.0 - game/invalid_action_penalty: 103.0 - game/invalid_action_rate: 0.9809523809523809 - game/missing_answer_tags: 103.0 - game/win_rate: 0.38095238095238093 - generator/generate/avg_tokens_generated: 3.295238095238095 - generator/generate/count_requests: 105.0 - generator/generate/count_sequences_completed: 105.0 - generator/generate/sum_tokens_generated: 346.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5711275320500135 - generator_perf/_fetch_weights/total_duration_max_s: 1.5711275320500135 - generator_perf/generate/generate/duration_avg_s: 0.041529941740490156 - generator_perf/generate/generate/duration_max_s: 2.642236328125 - generator_perf/generate/process_inputs/duration_avg_s: 0.0008632179844947093 - generator_perf/generate/process_inputs/duration_max_s: 0.0015153599977493287 - generator_perf/generate/total_duration_avg_s: 0.042499754468198606 - generator_perf/generate/total_duration_max_s: 2.6436295441687108 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5603160383179784 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5603160383179784 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.8081861222162843 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.8081861222162843 - groups/rate_dropped: 0.11538461538461539 - main/continuous_rollouts/count_rollout_iterations: 23.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.21206010763461774 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.7509271446615458 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.023349698309017265 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.0253985533490777 - main_perf/continuous_rollouts/total_duration_avg_s: 0.24544057447033432 - main_perf/continuous_rollouts/total_duration_max_s: 2.7897371146827936 - main_perf/continuous_training/drop_weights/duration_avg_s: 1.0767848938703537 - main_perf/continuous_training/drop_weights/duration_max_s: 1.0767848938703537 - main_perf/continuous_training/push_weights/duration_avg_s: 2.474505794234574 - main_perf/continuous_training/push_weights/duration_max_s: 2.474505794234574 - main_perf/continuous_training/total_duration_avg_s: 6.388173679821193 - main_perf/continuous_training/total_duration_max_s: 6.388173679821193 - main_perf/continuous_training/train_step/duration_avg_s: 0.17474965937435627 - main_perf/continuous_training/train_step/duration_max_s: 0.17474965937435627 - main_perf/continuous_training/update_weights/duration_avg_s: 2.65823513828218 - main_perf/continuous_training/update_weights/duration_max_s: 2.65823513828218 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0038960203528404236 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0038960203528404236 - reference_perf/forward/avg_sequence_length: 226.47826086956522 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00010723798819210218 - reference_perf/forward/compute_logprobs/duration_max_s: 0.0001162160187959671 - reference_perf/forward/count_forward_passes: 23.0 - reference_perf/forward/forward/duration_avg_s: 0.015171540779588015 - reference_perf/forward/forward/duration_max_s: 0.017581123858690262 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0003614073781215626 - reference_perf/forward/garbage_collection/duration_max_s: 0.00042002834379673004 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.2563831287881602 - reference_perf/forward/memory_peak_max_gb: 5.386606216430664 - reference_perf/forward/to_device/duration_avg_s: 0.00010637967320887938 - reference_perf/forward/to_device/duration_max_s: 0.00012043304741382599 - reference_perf/forward/total_duration_avg_s: 0.015748189397804115 - reference_perf/forward/total_duration_max_s: 0.01819818001240492 - rl_trainer/avg_loss: 1.214247703552246 - rl_trainer/learning_rate: 9.83983983983984e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005944417789578438 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005944417789578438 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005220817402005196 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005220817402005196 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.472850853577256 - rl_trainer_perf/push_weights/total_duration_max_s: 2.472850853577256 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.4717318564653397 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.4717318564653397 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14585282932966948 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.14585282932966948 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0031923437491059303 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0031923437491059303 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018128613010048866 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018128613010048866 - rl_trainer_perf/step/total_duration_avg_s: 0.1671761004254222 - rl_trainer_perf/step/total_duration_max_s: 0.1671761004254222 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:54:00 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:00 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:01 INFO Pushing weights for policy version 19 -[ReferenceModel-0/1] 2025-11-19 07:54:01 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:01 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 18: Starting training -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 490] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 491] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 492] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 7 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 493] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text ---[ReferenceModel-0/1] 2025-11-19 07:54:01 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:01 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:01 INFO [GC] Performing periodic GC collection took 0.00 seconds - -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 494] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 5 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 495] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 495] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 496] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 497] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:01 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:02 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 498] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 5 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 499] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 500] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 501] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:02 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 502] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 503] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 504] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 505] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:03 INFO Completed weights push in 2.36 seconds -[Generator-0/1] 2025-11-19 07:54:03 INFO [Generator] Fetching weights for v19 to shared memory -INFO 11-19 07:54:06 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:54:06 INFO Weight update completed (now v19) - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 506] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 506] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 507] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 507] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 508] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=18 -Dropping weights @ version 18 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 509] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:06 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:06 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:06 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:06 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 510] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 511] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 512] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 513] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:06 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:06 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 514] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropped weights @ version 18, took 0.95 seconds -WandbBackend: Logged 95 metrics at step 19 -=== [global_reduce] - METRICS STEP 19 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 88.0 - buffer/episodes_accepted: 88.0 - buffer/episodes_generated: 88.0 - buffer/evict/sum_episodes_evicted: 109.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.07017543859649122 - buffer/sample/avg_sampled_policy_age: 0.5 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.002029949799180031 - buffer_perf/sample/total_duration_max_s: 0.002029949799180031 - episode/total_tokens: 225.4950495049505 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.07920792079207921 - game/games_played: 101.0 - game/invalid_action_penalty: 101.0 - game/invalid_action_rate: 1.0 - game/missing_answer_tags: 101.0 - game/win_rate: 0.43564356435643564 - generator/generate/avg_tokens_generated: 3.227722772277228 - generator/generate/count_requests: 101.0 - generator/generate/count_sequences_completed: 101.0 - generator/generate/sum_tokens_generated: 326.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5505345398560166 - generator_perf/_fetch_weights/total_duration_max_s: 1.5505345398560166 - generator_perf/generate/generate/duration_avg_s: 0.04146226243689508 - generator_perf/generate/generate/duration_max_s: 2.624644287109375 - generator_perf/generate/process_inputs/duration_avg_s: 0.0007947003544944493 - generator_perf/generate/process_inputs/duration_max_s: 0.0013536959886550903 - generator_perf/generate/total_duration_avg_s: 0.04236408928664411 - generator_perf/generate/total_duration_max_s: 2.6261479350924493 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.550637835636735 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.550637835636735 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.824675559066236 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.824675559066236 - groups/rate_dropped: 0.12 - main/continuous_rollouts/count_rollout_iterations: 22.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.21131890393793584 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.7323655830696225 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.02351188329471783 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.03197397943586111 - main_perf/continuous_rollouts/total_duration_avg_s: 0.24502002701163292 - main_perf/continuous_rollouts/total_duration_max_s: 2.770974649116397 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.9472284484654665 - main_perf/continuous_training/drop_weights/duration_max_s: 0.9472284484654665 - main_perf/continuous_training/push_weights/duration_avg_s: 2.3638373455032706 - main_perf/continuous_training/push_weights/duration_max_s: 2.3638373455032706 - main_perf/continuous_training/total_duration_avg_s: 6.1483703050762415 - main_perf/continuous_training/total_duration_max_s: 6.1483703050762415 - main_perf/continuous_training/train_step/duration_avg_s: 0.16716106701642275 - main_perf/continuous_training/train_step/duration_max_s: 0.16716106701642275 - main_perf/continuous_training/update_weights/duration_avg_s: 2.6657189512625337 - main_perf/continuous_training/update_weights/duration_max_s: 2.6657189512625337 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.004422198981046677 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.004422198981046677 - reference_perf/forward/avg_sequence_length: 226.3181818181818 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00010813387449492107 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00012017320841550827 - reference_perf/forward/count_forward_passes: 22.0 - reference_perf/forward/forward/duration_avg_s: 0.014904968059537086 - reference_perf/forward/forward/duration_max_s: 0.015873761847615242 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00035693466832691973 - reference_perf/forward/garbage_collection/duration_max_s: 0.00041559990495443344 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.2562019174749201 - reference_perf/forward/memory_peak_max_gb: 5.359437942504883 - reference_perf/forward/to_device/duration_avg_s: 0.00011009532450274988 - reference_perf/forward/to_device/duration_max_s: 0.00012956559658050537 - reference_perf/forward/total_duration_avg_s: 0.015481883617625996 - reference_perf/forward/total_duration_max_s: 0.01651278231292963 - rl_trainer/avg_loss: 0.2749760150909424 - rl_trainer/learning_rate: 9.829829829829831e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.000530715100467205 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.000530715100467205 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005106553435325623 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005106553435325623 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.362107940018177 - rl_trainer_perf/push_weights/total_duration_max_s: 2.362107940018177 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.361063987016678 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.361063987016678 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14244223479181528 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.14244223479181528 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209384441375732 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.002742711454629898 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.002742711454629898 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018147381953895092 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018147381953895092 - rl_trainer_perf/step/total_duration_avg_s: 0.16333442088216543 - rl_trainer_perf/step/total_duration_max_s: 0.16333442088216543 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:54:07 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:07 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:07 INFO Pushing weights for policy version 20 -[ReferenceModel-0/1] 2025-11-19 07:54:07 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:07 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 19: Starting training -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 515] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 5 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 516] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 517] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 3 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 518] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ -[ReferenceModel-0/1] 2025-11-19 07:54:07 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:07 INFO [GC] Performing periodic GC collection took 0.00 seconds - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 519] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 519] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 520] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 520] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 521] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 522] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:08 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:08 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:08 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 523] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 9 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 524] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 524] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 525] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 526] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 6, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 6, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:08 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:08 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:08 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:09 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 527] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 528] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 529] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 530] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:09 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:09 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:09 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 531] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 532] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 533] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 533] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 534] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:09 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:09 INFO Completed weights push in 2.59 seconds -[Generator-0/1] 2025-11-19 07:54:09 INFO [Generator] Fetching weights for v20 to shared memory -INFO 11-19 07:54:12 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:54:12 INFO Weight update completed (now v20) -[ReferenceModel-0/1] 2025-11-19 07:54:12 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:12 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=19 -Dropping weights @ version 19 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 535] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 536] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 536] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 537] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 538] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 6 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:13 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:13 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 539] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 2 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropped weights @ version 19, took 0.75 seconds -WandbBackend: Logged 95 metrics at step 20 -=== [global_reduce] - METRICS STEP 20 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 80.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 92.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.07272727272727272 - buffer/sample/avg_sampled_policy_age: 0.625 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0019478751346468925 - buffer_perf/sample/total_duration_max_s: 0.0019478751346468925 - episode/total_tokens: 225.45544554455446 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.15841584158415842 - game/games_played: 101.0 - game/invalid_action_penalty: 98.0 - game/invalid_action_rate: 0.9702970297029703 - game/missing_answer_tags: 98.0 - game/win_rate: 0.37623762376237624 - generator/generate/avg_tokens_generated: 3.4158415841584158 - generator/generate/count_requests: 101.0 - generator/generate/count_sequences_completed: 101.0 - generator/generate/sum_tokens_generated: 345.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.6658812863752246 - generator_perf/_fetch_weights/total_duration_max_s: 1.6658812863752246 - generator_perf/generate/generate/duration_avg_s: 0.044080350951393045 - generator_perf/generate/generate/duration_max_s: 2.6741259765625 - generator_perf/generate/process_inputs/duration_avg_s: 0.0009296209092187417 - generator_perf/generate/process_inputs/duration_max_s: 0.0024242238998413088 - generator_perf/generate/total_duration_avg_s: 0.04515424116677834 - generator_perf/generate/total_duration_max_s: 2.675666552528739 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.6659916136413813 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.6659916136413813 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7456109169870615 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7456109169870615 - groups/rate_dropped: 0.2 - main/continuous_rollouts/count_rollout_iterations: 20.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.21793036743998528 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.7723670210689306 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.022970249084755777 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.025058748200535774 - main_perf/continuous_rollouts/total_duration_avg_s: 0.24862147066742182 - main_perf/continuous_rollouts/total_duration_max_s: 2.812143308110535 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.7503249906003475 - main_perf/continuous_training/drop_weights/duration_max_s: 0.7503249906003475 - main_perf/continuous_training/push_weights/duration_avg_s: 2.5911566596478224 - main_perf/continuous_training/push_weights/duration_max_s: 2.5911566596478224 - main_perf/continuous_training/total_duration_avg_s: 6.223559828475118 - main_perf/continuous_training/total_duration_max_s: 6.223559828475118 - main_perf/continuous_training/train_step/duration_avg_s: 0.17159072682261467 - main_perf/continuous_training/train_step/duration_max_s: 0.17159072682261467 - main_perf/continuous_training/update_weights/duration_avg_s: 2.7065193708986044 - main_perf/continuous_training/update_weights/duration_max_s: 2.7065193708986044 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.003965757787227631 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.003965757787227631 - reference_perf/forward/avg_sequence_length: 226.5 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00011053206399083137 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00011994130909442902 - reference_perf/forward/count_forward_passes: 20.0 - reference_perf/forward/forward/duration_avg_s: 0.015249842265620827 - reference_perf/forward/forward/duration_max_s: 0.016540464013814926 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00036142184399068356 - reference_perf/forward/garbage_collection/duration_max_s: 0.0003907131031155586 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.2564077377319336 - reference_perf/forward/memory_peak_max_gb: 5.386606216430664 - reference_perf/forward/to_device/duration_avg_s: 0.00011258716695010662 - reference_perf/forward/to_device/duration_max_s: 0.00012746267020702362 - reference_perf/forward/total_duration_avg_s: 0.01583601236343384 - reference_perf/forward/total_duration_max_s: 0.01711883209645748 - rl_trainer/avg_loss: -0.2127486765384674 - rl_trainer/learning_rate: 9.81981981981982e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.000586128793656826 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.000586128793656826 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005255276337265968 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005255276337265968 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.589377691037953 - rl_trainer_perf/push_weights/total_duration_max_s: 2.589377691037953 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.588263440877199 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.588263440877199 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14667283464223146 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.14667283464223146 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0027132760733366013 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0027132760733366013 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01866829115897417 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01866829115897417 - rl_trainer_perf/step/total_duration_avg_s: 0.16805642656981945 - rl_trainer_perf/step/total_duration_max_s: 0.16805642656981945 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:54:13 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:13 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:13 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:13 INFO Pushing weights for policy version 21 -[TRAINING] Step 20: Starting training -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 540] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 541] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 542] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 6 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 542] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 543] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 5 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100[ReferenceModel-0/1] 2025-11-19 07:54:13 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:13 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:13 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:14 INFO [GC] Performing periodic GC collection took 0.00 seconds - -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 544] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 7 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 545] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 546] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 547] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:14 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:14 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:14 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:14 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 548] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 7 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 549] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 550] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 551] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 3 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:14 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:14 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:15 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 552] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 10 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 8/9 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 553] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 554] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 555] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:15 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 556] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 557] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 558] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 559] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:15 INFO Completed weights push in 2.44 seconds -[Generator-0/1] 2025-11-19 07:54:15 INFO [Generator] Fetching weights for v21 to shared memory -INFO 11-19 07:54:18 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:54:18 INFO Weight update completed (now v21) -[ReferenceModel-0/1] 2025-11-19 07:54:18 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:18 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:18 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropping weights @ version 20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 560] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=20 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 561] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 562] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 563] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 8 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:19 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:19 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:19 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:19 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 564] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 565] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 566] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -Dropped weights @ version 20, took 0.98 seconds -WandbBackend: Logged 97 metrics at step 21 -=== [global_reduce] - METRICS STEP 21 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 104.0 - buffer/episodes_accepted: 104.0 - buffer/episodes_generated: 104.0 - buffer/evict/sum_episodes_evicted: 89.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.07920792079207921 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.001865471713244915 - buffer_perf/sample/total_duration_max_s: 0.001865471713244915 - episode/total_tokens: 225.35185185185185 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.037037037037037035 - game/games_played: 108.0 - game/invalid_action_penalty: 106.0 - game/invalid_action_rate: 0.9814814814814815 - game/missing_answer_tags: 106.0 - game/win_rate: 0.4537037037037037 - generator/generate/avg_tokens_generated: 3.2777777777777777 - generator/generate/count_requests: 108.0 - generator/generate/count_sequences_completed: 108.0 - generator/generate/sum_tokens_generated: 354.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.598670968785882 - generator_perf/_fetch_weights/total_duration_max_s: 1.598670968785882 - generator_perf/generate/generate/duration_avg_s: 0.04001013067033555 - generator_perf/generate/generate/duration_max_s: 2.638514404296875 - generator_perf/generate/process_inputs/duration_avg_s: 0.000759866076487082 - generator_perf/generate/process_inputs/duration_max_s: 0.0014625600576400758 - generator_perf/generate/total_duration_avg_s: 0.04086480830258396 - generator_perf/generate/total_duration_max_s: 2.639871524259448 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5749815292656422 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5749815292656422 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7636583680287004 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7636583680287004 - groups/rate_dropped: 0.037037037037037035 - main/continuous_rollouts/count_rollout_iterations: 26.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.196603756191002 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.741871155798435 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.023695207344224818 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.0252384003251791 - main_perf/continuous_rollouts/total_duration_avg_s: 0.23233375539658246 - main_perf/continuous_rollouts/total_duration_max_s: 2.78257180377841 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.9778008721768856 - main_perf/continuous_training/drop_weights/duration_max_s: 0.9778008721768856 - main_perf/continuous_training/push_weights/duration_avg_s: 2.462094043381512 - main_perf/continuous_training/push_weights/duration_max_s: 2.462094043381512 - main_perf/continuous_training/total_duration_avg_s: 6.274154116399586 - main_perf/continuous_training/total_duration_max_s: 6.274154116399586 - main_perf/continuous_training/train_step/duration_avg_s: 0.16637913137674332 - main_perf/continuous_training/train_step/duration_max_s: 0.16637913137674332 - main_perf/continuous_training/update_weights/duration_avg_s: 2.6640683272853494 - main_perf/continuous_training/update_weights/duration_max_s: 2.6640683272853494 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.003809599205851555 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.003809599205851555 - reference_perf/forward/avg_sequence_length: 226.30769230769232 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00013888684602884145 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00015415344387292862 - reference_perf/forward/count_forward_passes: 26.0 - reference_perf/forward/forward/duration_avg_s: 0.015777451666788414 - reference_perf/forward/forward/duration_max_s: 0.016898958012461662 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00043507156750330556 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004732273519039154 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.25619004322932315 - reference_perf/forward/memory_peak_max_gb: 5.386606216430664 - reference_perf/forward/to_device/duration_avg_s: 0.00013957906944247393 - reference_perf/forward/to_device/duration_max_s: 0.00017314311116933823 - reference_perf/forward/total_duration_avg_s: 0.01649265750669516 - reference_perf/forward/total_duration_max_s: 0.017662307247519493 - rl_trainer/avg_loss: 0.6257914304733276 - rl_trainer/learning_rate: 9.80980980980981e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.000546489842236042 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.000546489842236042 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0004870183765888214 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0004870183765888214 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.4395122034475207 - rl_trainer_perf/push_weights/total_duration_max_s: 2.4395122034475207 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.4384758919477463 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.4384758919477463 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14315377362072468 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.14315377362072468 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0025082966312766075 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0025082966312766075 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017484615556895733 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017484615556895733 - rl_trainer_perf/step/total_duration_avg_s: 0.16314862854778767 - rl_trainer_perf/step/total_duration_max_s: 0.16314862854778767 -============================== - -[ReferenceModel-0/1] 2025-11-19 07:54:19 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:19 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:19 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:19 INFO Pushing weights for policy version 22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 567] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[TRAINING] Step 21: Starting training -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 568] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 2 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 569] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 569] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 570] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets[ReferenceModel-0/1] 2025-11-19 07:54:19 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:20 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:20 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:20 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 571] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 572] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 264, Trainable tokens: 19 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 17, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100 -✓ 16/17 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 573] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 3 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 574] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:20 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:20 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:20 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 575] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 576] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 576] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 577] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 9 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 578] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:20 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:21 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:21 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:21 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 579] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 580] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 2 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 581] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 4 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 582] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 7 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:21 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:21 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:22 INFO Completed weights push in 2.31 seconds -[Generator-0/1] 2025-11-19 07:54:22 INFO [Generator] Fetching weights for v22 to shared memory -INFO 11-19 07:54:24 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:54:24 INFO Weight update completed (now v22) - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 582] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 583] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 5, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 5, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 584] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 584] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 585] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropping weights @ version 21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 586] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:24 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:24 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:24 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:25 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=21 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 587] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 3 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 588] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 589] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 590] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 2 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:25 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:25 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 591] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 592] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 592] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropped weights @ version 21, took 1.00 seconds -WandbBackend: Logged 97 metrics at step 22 -=== [global_reduce] - METRICS STEP 22 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 84.0 - buffer/episodes_accepted: 84.0 - buffer/episodes_generated: 84.0 - buffer/evict/sum_episodes_evicted: 85.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.06666666666666667 - buffer/sample/avg_sampled_policy_age: 0.5 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0020829401910305023 - buffer_perf/sample/total_duration_max_s: 0.0020829401910305023 - episode/total_tokens: 226.4368932038835 - episode/turns: 1.029126213592233 - game/average_turns: 1.029126213592233 - game/env_reward: -0.30097087378640774 - game/games_played: 103.0 - game/invalid_action_penalty: 101.0 - game/invalid_action_rate: 0.9528301886792453 - game/missing_answer_tags: 101.0 - game/win_rate: 0.3300970873786408 - generator/generate/avg_tokens_generated: 3.5660377358490565 - generator/generate/count_requests: 106.0 - generator/generate/count_sequences_completed: 106.0 - generator/generate/sum_tokens_generated: 378.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5770291658118367 - generator_perf/_fetch_weights/total_duration_max_s: 1.5770291658118367 - generator_perf/generate/generate/duration_avg_s: 0.04093875441461239 - generator_perf/generate/generate/duration_max_s: 2.58022216796875 - generator_perf/generate/process_inputs/duration_avg_s: 0.0008369074683144411 - generator_perf/generate/process_inputs/duration_max_s: 0.0013921279907226562 - generator_perf/generate/total_duration_avg_s: 0.041871151090158085 - generator_perf/generate/total_duration_max_s: 2.5817414320111274 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5589544335380197 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5589544335380197 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7522372202947736 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7522372202947736 - groups/rate_dropped: 0.19230769230769232 - main/continuous_rollouts/count_rollout_iterations: 21.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.20465156274776047 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.6853651981800795 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.023819872887716406 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.02610541507601738 - main_perf/continuous_rollouts/total_duration_avg_s: 0.23545286879659846 - main_perf/continuous_rollouts/total_duration_max_s: 2.7279688641428947 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.9959992812946439 - main_perf/continuous_training/drop_weights/duration_max_s: 0.9959992812946439 - main_perf/continuous_training/push_weights/duration_avg_s: 2.3209902085363865 - main_perf/continuous_training/push_weights/duration_max_s: 2.3209902085363865 - main_perf/continuous_training/total_duration_avg_s: 6.096860195510089 - main_perf/continuous_training/total_duration_max_s: 6.096860195510089 - main_perf/continuous_training/train_step/duration_avg_s: 0.1678028916940093 - main_perf/continuous_training/train_step/duration_max_s: 0.1678028916940093 - main_perf/continuous_training/update_weights/duration_avg_s: 2.604262954555452 - main_perf/continuous_training/update_weights/duration_max_s: 2.604262954555452 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.007802626118063927 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.007802626118063927 - reference_perf/forward/avg_sequence_length: 231.1904761904762 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.0001442450586529005 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00016468018293380737 - reference_perf/forward/count_forward_passes: 21.0 - reference_perf/forward/forward/duration_avg_s: 0.015968227049424535 - reference_perf/forward/forward/duration_max_s: 0.017791402526199818 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00045294660542692455 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004912950098514557 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.26171754655383883 - reference_perf/forward/memory_peak_max_gb: 5.800925254821777 - reference_perf/forward/to_device/duration_avg_s: 0.0001345583725543249 - reference_perf/forward/to_device/duration_max_s: 0.00017011817544698715 - reference_perf/forward/total_duration_avg_s: 0.016701757375683104 - reference_perf/forward/total_duration_max_s: 0.018536091782152653 - rl_trainer/avg_loss: 0.8150738477706909 - rl_trainer/learning_rate: 9.799799799799801e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005168337374925613 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005168337374925613 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0004875697195529938 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0004875697195529938 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.314641577191651 - rl_trainer_perf/push_weights/total_duration_max_s: 2.314641577191651 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.31363508105278 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.31363508105278 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14463119581341743 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.14463119581341743 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0024567367509007454 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0024567367509007454 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017342621460556984 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017342621460556984 - rl_trainer_perf/step/total_duration_avg_s: 0.16443250700831413 - rl_trainer_perf/step/total_duration_max_s: 0.16443250700831413 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:54:25 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:25 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:25 INFO Pushing weights for policy version 23 -[ReferenceModel-0/1] 2025-11-19 07:54:25 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:26 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:26 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[TRAINING] Step 22: Starting training -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 593] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: Ace - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 594] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 595] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 10 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 8/9 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 596] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22[ReferenceModel-0/1] 2025-11-19 07:54:26 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:26 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 597] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 597] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 598] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 599] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 600] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:26 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:26 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:27 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:27 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 601] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 602] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 603] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 604] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:27 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:27 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:27 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 605] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 605] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 606] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 607] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 608] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:27 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:27 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:28 INFO Completed weights push in 2.52 seconds -[Generator-0/1] 2025-11-19 07:54:28 INFO [Generator] Fetching weights for v23 to shared memory - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 609] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 610] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 610] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 611] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 611] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 612] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:28 INFO [GC] Performing periodic GC collection took 0.00 seconds -INFO 11-19 07:54:30 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:54:30 INFO Weight update completed (now v23) -[ReferenceModel-0/1] 2025-11-19 07:54:31 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:31 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=22 -Dropping weights @ version 22 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 613] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 3 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 614] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 615] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 615] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 616] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:31 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:31 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:31 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 617] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 618] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 618] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 619] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -Dropped weights @ version 22, took 1.06 seconds -WandbBackend: Logged 97 metrics at step 23 -=== [global_reduce] - METRICS STEP 23 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 84.0 - buffer/episodes_accepted: 84.0 - buffer/episodes_generated: 84.0 - buffer/evict/sum_episodes_evicted: 99.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.0761904761904762 - buffer/sample/avg_sampled_policy_age: 0.75 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0020289383828639984 - buffer_perf/sample/total_duration_max_s: 0.0020289383828639984 - episode/total_tokens: 226.12962962962962 - episode/turns: 1.0185185185185186 - game/average_turns: 1.0185185185185186 - game/env_reward: -0.1388888888888889 - game/games_played: 108.0 - game/invalid_action_penalty: 104.0 - game/invalid_action_rate: 0.9454545454545454 - game/missing_answer_tags: 104.0 - game/win_rate: 0.3888888888888889 - generator/generate/avg_tokens_generated: 3.4727272727272727 - generator/generate/count_requests: 110.0 - generator/generate/count_sequences_completed: 110.0 - generator/generate/sum_tokens_generated: 382.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5896758725866675 - generator_perf/_fetch_weights/total_duration_max_s: 1.5896758725866675 - generator_perf/generate/generate/duration_avg_s: 0.03967567414370451 - generator_perf/generate/generate/duration_max_s: 2.51326220703125 - generator_perf/generate/process_inputs/duration_avg_s: 0.0009533730913948435 - generator_perf/generate/process_inputs/duration_max_s: 0.001431648015975952 - generator_perf/generate/total_duration_avg_s: 0.040732724034983056 - generator_perf/generate/total_duration_max_s: 2.514821183040738 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5851818937808275 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5851818937808275 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.6942170849069953 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.6942170849069953 - groups/rate_dropped: 0.2222222222222222 - main/continuous_rollouts/count_rollout_iterations: 21.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.2035248769723155 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.677058095112443 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.025373492478614763 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.034555296413600445 - main_perf/continuous_rollouts/total_duration_avg_s: 0.23479703593033333 - main_perf/continuous_rollouts/total_duration_max_s: 2.7254046332091093 - main_perf/continuous_training/drop_weights/duration_avg_s: 1.0620540753006935 - main_perf/continuous_training/drop_weights/duration_max_s: 1.0620540753006935 - main_perf/continuous_training/push_weights/duration_avg_s: 2.5218508327379823 - main_perf/continuous_training/push_weights/duration_max_s: 2.5218508327379823 - main_perf/continuous_training/total_duration_avg_s: 6.33206798043102 - main_perf/continuous_training/total_duration_max_s: 6.33206798043102 - main_perf/continuous_training/train_step/duration_avg_s: 0.16614436451345682 - main_perf/continuous_training/train_step/duration_max_s: 0.16614436451345682 - main_perf/continuous_training/update_weights/duration_avg_s: 2.56861799582839 - main_perf/continuous_training/update_weights/duration_max_s: 2.56861799582839 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.013398728333413601 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.013398728333413601 - reference_perf/forward/avg_sequence_length: 230.1904761904762 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00015651931365331015 - reference_perf/forward/compute_logprobs/duration_max_s: 0.0002070348709821701 - reference_perf/forward/count_forward_passes: 21.0 - reference_perf/forward/forward/duration_avg_s: 0.017403565923727694 - reference_perf/forward/forward/duration_max_s: 0.026397788897156715 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0004792635639508565 - reference_perf/forward/garbage_collection/duration_max_s: 0.0005301041528582573 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.2605854897272019 - reference_perf/forward/memory_peak_max_gb: 5.603953838348389 - reference_perf/forward/to_device/duration_avg_s: 0.00012882829954226813 - reference_perf/forward/to_device/duration_max_s: 0.00016793422400951385 - reference_perf/forward/total_duration_avg_s: 0.018170068617023173 - reference_perf/forward/total_duration_max_s: 0.027161728590726852 - rl_trainer/avg_loss: 0.32133397459983826 - rl_trainer/learning_rate: 9.78978978978979e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005313055589795113 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005313055589795113 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005014305934309959 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005014305934309959 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.5201029805466533 - rl_trainer_perf/push_weights/total_duration_max_s: 2.5201029805466533 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.5190670201554894 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.5190670201554894 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14215105306357145 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.14215105306357145 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0025216955691576004 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0025216955691576004 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017819355241954327 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017819355241954327 - rl_trainer_perf/step/total_duration_avg_s: 0.1624939562752843 - rl_trainer_perf/step/total_duration_max_s: 0.1624939562752843 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:54:32 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:32 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:32 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:32 INFO Pushing weights for policy version 24 -[ReferenceModel-0/1] 2025-11-19 07:54:32 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[TRAINING] Step 23: Starting training -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 620] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 621] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 5 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 622] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 623] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 9 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ -[ReferenceModel-0/1] 2025-11-19 07:54:32 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:32 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:32 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:32 INFO [GC] Performing periodic GC collection took 0.00 seconds - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 624] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 5 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 625] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 264, Trainable tokens: 19 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 20, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100 -✓ 16/17 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 626] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 627] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 7 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:33 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:33 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 628] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 629] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 9 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 629] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 630] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 630] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 631] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:33 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:33 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:33 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:34 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 632] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 633] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 634] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 635] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 2 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:34 INFO Completed weights push in 2.43 seconds -[Generator-0/1] 2025-11-19 07:54:34 INFO [Generator] Fetching weights for v24 to shared memory -[ReferenceModel-0/1] 2025-11-19 07:54:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -INFO 11-19 07:54:37 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:54:37 INFO Weight update completed (now v24) - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 636] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 637] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 10 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 8/9 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 638] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=23 -Dropping weights @ version 23 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 639] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:37 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 640] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 641] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 642] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 643] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:38 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 644] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 644] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 645] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropped weights @ version 23, took 0.98 seconds -WandbBackend: Logged 97 metrics at step 24 -=== [global_reduce] - METRICS STEP 24 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 92.0 - buffer/episodes_accepted: 92.0 - buffer/episodes_generated: 92.0 - buffer/evict/sum_episodes_evicted: 86.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.07766990291262135 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0017822934314608574 - buffer_perf/sample/total_duration_max_s: 0.0017822934314608574 - episode/total_tokens: 226.5728155339806 - episode/turns: 1.029126213592233 - game/average_turns: 1.029126213592233 - game/env_reward: -0.1262135922330097 - game/games_played: 103.0 - game/invalid_action_penalty: 97.0 - game/invalid_action_rate: 0.9150943396226415 - game/missing_answer_tags: 97.0 - game/win_rate: 0.4174757281553398 - generator/generate/avg_tokens_generated: 3.688679245283019 - generator/generate/count_requests: 106.0 - generator/generate/count_sequences_completed: 106.0 - generator/generate/sum_tokens_generated: 391.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5249488232657313 - generator_perf/_fetch_weights/total_duration_max_s: 1.5249488232657313 - generator_perf/generate/generate/duration_avg_s: 0.04048413231687725 - generator_perf/generate/generate/duration_max_s: 2.492949462890625 - generator_perf/generate/process_inputs/duration_avg_s: 0.0008329533575418982 - generator_perf/generate/process_inputs/duration_max_s: 0.001226688027381897 - generator_perf/generate/total_duration_avg_s: 0.04140402273137894 - generator_perf/generate/total_duration_max_s: 2.4943144228458403 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5236320244148374 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5236320244148374 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7456871019676328 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7456871019676328 - groups/rate_dropped: 0.11538461538461539 - main/continuous_rollouts/count_rollout_iterations: 23.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.20339824259281158 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.5860748207196593 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.024869409551763016 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.03713661152869463 - main_perf/continuous_rollouts/total_duration_avg_s: 0.23798207723750517 - main_perf/continuous_rollouts/total_duration_max_s: 2.6264417925849557 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.9813991012051702 - main_perf/continuous_training/drop_weights/duration_max_s: 0.9813991012051702 - main_perf/continuous_training/push_weights/duration_avg_s: 2.429871608503163 - main_perf/continuous_training/push_weights/duration_max_s: 2.429871608503163 - main_perf/continuous_training/total_duration_avg_s: 6.145335690118372 - main_perf/continuous_training/total_duration_max_s: 6.145335690118372 - main_perf/continuous_training/train_step/duration_avg_s: 0.17237443663179874 - main_perf/continuous_training/train_step/duration_max_s: 0.17237443663179874 - main_perf/continuous_training/update_weights/duration_avg_s: 2.5547139905393124 - main_perf/continuous_training/update_weights/duration_max_s: 2.5547139905393124 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.006975412368774414 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.006975412368774414 - reference_perf/forward/avg_sequence_length: 230.08695652173913 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.000143735912506995 - reference_perf/forward/compute_logprobs/duration_max_s: 0.000184609554708004 - reference_perf/forward/count_forward_passes: 23.0 - reference_perf/forward/forward/duration_avg_s: 0.016307405115145703 - reference_perf/forward/forward/duration_max_s: 0.026646296493709087 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0004550352206696635 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004919776692986488 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.2604682963827382 - reference_perf/forward/memory_peak_max_gb: 5.610745906829834 - reference_perf/forward/to_device/duration_avg_s: 0.00014502559181140816 - reference_perf/forward/to_device/duration_max_s: 0.0001544049009680748 - reference_perf/forward/total_duration_avg_s: 0.017052992611475613 - reference_perf/forward/total_duration_max_s: 0.027436724863946438 - rl_trainer/avg_loss: 0.8482416868209839 - rl_trainer/learning_rate: 9.779779779779781e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005859695374965668 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005859695374965668 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005292827263474464 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005292827263474464 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.428275005891919 - rl_trainer_perf/push_weights/total_duration_max_s: 2.428275005891919 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.42715656850487 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.42715656850487 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1475064978003502 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.1475064978003502 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003205433487892151 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003205433487892151 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018079718574881554 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018079718574881554 - rl_trainer_perf/step/total_duration_avg_s: 0.16879414394497871 - rl_trainer_perf/step/total_duration_max_s: 0.16879414394497871 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:54:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:38 INFO Pushing weights for policy version 25 -[ReferenceModel-0/1] 2025-11-19 07:54:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 24: Starting training -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 646] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 647] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 8 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 648] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 223, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 6, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 6, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 648] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 649] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -[ReferenceModel-0/1] 2025-11-19 07:54:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:39 INFO [GC] Performing periodic GC collection took 0.00 seconds -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 650] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 651] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 652] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 653] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100[ReferenceModel-0/1] 2025-11-19 07:54:39 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:39 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:39 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:39 INFO [GC] Performing periodic GC collection took 0.00 seconds - -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 654] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 8 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 655] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 656] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 657] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:40 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:40 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 657] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 658] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 658] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 659] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 660] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: Ace - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 661] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:40 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:40 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:40 INFO Completed weights push in 2.41 seconds -[Generator-0/1] 2025-11-19 07:54:40 INFO [Generator] Fetching weights for v25 to shared memory -INFO 11-19 07:54:43 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:54:43 INFO Weight update completed (now v25) -[ReferenceModel-0/1] 2025-11-19 07:54:43 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 661] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 662] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 663] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -Dropping weights @ version 24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 664] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 3 -Total tokens: 296, Trainable tokens: 28 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 14, Dealer: 10 - [4] assistant : HIT - [5] user : Hand: 20, Dealer: 10 - [6] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 4 non-trainable positions have target=-100 -✓ 24/25 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=24 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 665] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 9 - [2] assistant : - ---- Decoded all_token_ids --- -[ReferenceModel-0/1] 2025-11-19 07:54:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 665] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 666] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -Dropped weights @ version 24, took 0.74 seconds -[BUFFER ADD] Added 4/4 episodes with policy_v=25 -WandbBackend: Logged 97 metrics at step 25 -=== [global_reduce] - METRICS STEP 25 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 84.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.07207207207207207 - buffer/sample/avg_sampled_policy_age: 0.75 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.001718626357614994 - buffer_perf/sample/total_duration_max_s: 0.001718626357614994 - episode/total_tokens: 226.93975903614458 - episode/turns: 1.036144578313253 - game/average_turns: 1.036144578313253 - game/env_reward: -0.26506024096385544 - game/games_played: 83.0 - game/invalid_action_penalty: 77.0 - game/invalid_action_rate: 0.8953488372093024 - game/missing_answer_tags: 77.0 - game/win_rate: 0.3373493975903614 - generator/generate/avg_tokens_generated: 3.8488372093023258 - generator/generate/count_requests: 85.0 - generator/generate/count_sequences_completed: 86.0 - generator/generate/sum_tokens_generated: 331.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.6049573859199882 - generator_perf/_fetch_weights/total_duration_max_s: 1.6049573859199882 - generator_perf/generate/generate/duration_avg_s: 0.048409183746160454 - generator_perf/generate/generate/duration_max_s: 2.607205322265625 - generator_perf/generate/process_inputs/duration_avg_s: 0.000743727629614431 - generator_perf/generate/process_inputs/duration_max_s: 0.0018173760175704955 - generator_perf/generate/total_duration_avg_s: 0.049248930725193214 - generator_perf/generate/total_duration_max_s: 2.6091769702881575 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5718540539965034 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5718540539965034 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7593285795301199 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7593285795301199 - groups/rate_dropped: 0.23809523809523808 - main/continuous_rollouts/count_rollout_iterations: 15.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.243605692172423 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.8387639950960875 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.05281996329625448 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.46291768178343773 - main_perf/continuous_rollouts/total_duration_avg_s: 0.2935853984206915 - main_perf/continuous_rollouts/total_duration_max_s: 3.316091268323362 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.7446657530963421 - main_perf/continuous_training/drop_weights/duration_max_s: 0.7446657530963421 - main_perf/continuous_training/push_weights/duration_avg_s: 2.4101611645892262 - main_perf/continuous_training/push_weights/duration_max_s: 2.4101611645892262 - main_perf/continuous_training/total_duration_avg_s: 5.969549217261374 - main_perf/continuous_training/total_duration_max_s: 5.969549217261374 - main_perf/continuous_training/train_step/duration_avg_s: 0.1711609149351716 - main_perf/continuous_training/train_step/duration_max_s: 0.1711609149351716 - main_perf/continuous_training/update_weights/duration_avg_s: 2.640143619850278 - main_perf/continuous_training/update_weights/duration_max_s: 2.640143619850278 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0034157419577240944 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0034157419577240944 - reference_perf/forward/avg_sequence_length: 234.125 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00014184380415827036 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00016520079225301743 - reference_perf/forward/count_forward_passes: 16.0 - reference_perf/forward/forward/duration_avg_s: 0.042992301750928164 - reference_perf/forward/forward/duration_max_s: 0.45134954154491425 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00045675295405089855 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004867482930421829 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.26503950357437134 - reference_perf/forward/memory_peak_max_gb: 5.828093528747559 - reference_perf/forward/to_device/duration_avg_s: 0.00014211505185812712 - reference_perf/forward/to_device/duration_max_s: 0.00015268195420503616 - reference_perf/forward/total_duration_avg_s: 0.043734772014431655 - reference_perf/forward/total_duration_max_s: 0.45214543864130974 - rl_trainer/avg_loss: 0.574418306350708 - rl_trainer/learning_rate: 9.76976976976977e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005857683718204498 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005857683718204498 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005261087790131569 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005261087790131569 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.4085726235061884 - rl_trainer_perf/push_weights/total_duration_max_s: 2.4085726235061884 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.4074578629806638 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.4074578629806638 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1471840888261795 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.1471840888261795 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0028559528291225433 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0028559528291225433 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018097877502441406 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018097877502441406 - rl_trainer_perf/step/total_duration_avg_s: 0.16814030334353447 - rl_trainer_perf/step/total_duration_max_s: 0.16814030334353447 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:54:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:44 INFO Pushing weights for policy version 26 -[ReferenceModel-0/1] 2025-11-19 07:54:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 25: Starting training -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 667] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=25 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 668] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 5 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 668] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 669] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=25 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 670] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:45 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=25 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 671] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=25 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 672] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=25 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 673] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 3 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=25 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 674] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:45 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:46 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=25 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 675] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 675] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 676] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 676] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 677] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=25 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 678] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:46 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:46 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:46 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 678] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 679] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=25 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 680] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=25 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 681] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=25 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 682] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:46 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:46 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:46 INFO Completed weights push in 2.53 seconds -[Generator-0/1] 2025-11-19 07:54:46 INFO [Generator] Fetching weights for v26 to shared memory -INFO 11-19 07:54:49 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:54:49 INFO Weight update completed (now v26) -[ReferenceModel-0/1] 2025-11-19 07:54:49 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:49 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=25 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 683] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=25 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropping weights @ version 25 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 684] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=25 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 685] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 10 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 8/9 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 686] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:49 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:49 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:50 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 687] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 5 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 688] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 689] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 690] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 223, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:50 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -Dropped weights @ version 25, took 0.99 seconds -WandbBackend: Logged 97 metrics at step 26 -=== [global_reduce] - METRICS STEP 26 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 80.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 89.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.09302325581395349 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.001652517355978489 - buffer_perf/sample/total_duration_max_s: 0.001652517355978489 - episode/total_tokens: 225.57291666666666 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.20833333333333334 - game/games_played: 96.0 - game/invalid_action_penalty: 92.0 - game/invalid_action_rate: 0.9583333333333334 - game/missing_answer_tags: 92.0 - game/win_rate: 0.375 - generator/generate/avg_tokens_generated: 3.46875 - generator/generate/count_requests: 97.0 - generator/generate/count_sequences_completed: 96.0 - generator/generate/sum_tokens_generated: 333.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5438792621716857 - generator_perf/_fetch_weights/total_duration_max_s: 1.5438792621716857 - generator_perf/generate/generate/duration_avg_s: 0.043237368971109406 - generator_perf/generate/generate/duration_max_s: 2.561840087890625 - generator_perf/generate/process_inputs/duration_avg_s: 0.0007984186669321691 - generator_perf/generate/process_inputs/duration_max_s: 0.0019166400432586669 - generator_perf/generate/total_duration_avg_s: 0.04414222397197349 - generator_perf/generate/total_duration_max_s: 2.5629611438810826 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5246995547786355 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5246995547786355 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7634591450914741 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7634591450914741 - groups/rate_dropped: 0.16666666666666666 - main/continuous_rollouts/count_rollout_iterations: 21.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.2065832382440567 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.6687162686139345 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04584864154458046 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.48388912808150053 - main_perf/continuous_rollouts/total_duration_avg_s: 0.25747132144868373 - main_perf/continuous_rollouts/total_duration_max_s: 2.709325097501278 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.9927137969061732 - main_perf/continuous_training/drop_weights/duration_max_s: 0.9927137969061732 - main_perf/continuous_training/push_weights/duration_avg_s: 2.535030568949878 - main_perf/continuous_training/push_weights/duration_max_s: 2.535030568949878 - main_perf/continuous_training/total_duration_avg_s: 6.298041297122836 - main_perf/continuous_training/total_duration_max_s: 6.298041297122836 - main_perf/continuous_training/train_step/duration_avg_s: 0.17976858373731375 - main_perf/continuous_training/train_step/duration_max_s: 0.17976858373731375 - main_perf/continuous_training/update_weights/duration_avg_s: 2.58673501200974 - main_perf/continuous_training/update_weights/duration_max_s: 2.58673501200974 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0037920037284493446 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0037920037284493446 - reference_perf/forward/avg_sequence_length: 226.8 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00014198990538716316 - reference_perf/forward/compute_logprobs/duration_max_s: 0.000154934823513031 - reference_perf/forward/count_forward_passes: 20.0 - reference_perf/forward/forward/duration_avg_s: 0.038798356475308535 - reference_perf/forward/forward/duration_max_s: 0.4752197554334998 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0004542040638625622 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004819808527827263 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.25674734115600584 - reference_perf/forward/memory_peak_max_gb: 5.386606216430664 - reference_perf/forward/to_device/duration_avg_s: 0.0001394276972860098 - reference_perf/forward/to_device/duration_max_s: 0.00015603657811880112 - reference_perf/forward/total_duration_avg_s: 0.03953566970303655 - reference_perf/forward/total_duration_max_s: 0.4759759232401848 - rl_trainer/avg_loss: 0.4604029655456543 - rl_trainer/learning_rate: 9.75975975975976e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005356734618544579 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005356734618544579 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005040839314460754 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005040839314460754 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.527177084237337 - rl_trainer_perf/push_weights/total_duration_max_s: 2.527177084237337 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.526133661158383 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.526133661158383 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.15582756232470274 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.15582756232470274 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209384441375732 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.002533133141696453 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.002533133141696453 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017695726826786995 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017695726826786995 - rl_trainer_perf/step/total_duration_avg_s: 0.17605832498520613 - rl_trainer_perf/step/total_duration_max_s: 0.17605832498520613 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:54:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:50 INFO Pushing weights for policy version 27 -[ReferenceModel-0/1] 2025-11-19 07:54:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 26: Starting training -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 691] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 10 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 8/9 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 692] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 693] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 223, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 5, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 5, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 694] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ -[ReferenceModel-0/1] 2025-11-19 07:54:51 INFO [GC] Performing periodic GC collection took 0.00 seconds - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 694] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 695] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 695] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 696] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 697] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 697] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 698] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 264, Trainable tokens: 19 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 20, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:51 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:51 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:51 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:51 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100 -✓ 16/17 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 699] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 700] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 701] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 702] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:51 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:52 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:52 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 703] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 703] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 704] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 2 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 705] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 706] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 7 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:52 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:52 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:52 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 707] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 707] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 708] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 709] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 710] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 6 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:53 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:53 INFO Completed weights push in 2.57 seconds -[Generator-0/1] 2025-11-19 07:54:53 INFO [Generator] Fetching weights for v27 to shared memory -[ReferenceModel-0/1] 2025-11-19 07:54:53 INFO [GC] Performing periodic GC collection took 0.00 seconds -INFO 11-19 07:54:55 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:54:55 INFO Weight update completed (now v27) -[ReferenceModel-0/1] 2025-11-19 07:54:55 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:56 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 711] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 6, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 6, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=26 -Dropping weights @ version 26 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 712] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 223, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 713] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 714] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:56 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 715] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 716] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 717] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -Dropped weights @ version 26, took 0.79 seconds -WandbBackend: Logged 97 metrics at step 27 -=== [global_reduce] - METRICS STEP 27 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 84.0 - buffer/episodes_accepted: 84.0 - buffer/episodes_generated: 84.0 - buffer/evict/sum_episodes_evicted: 81.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.09411764705882353 - buffer/sample/avg_sampled_policy_age: 0.625 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0019361665472388268 - buffer_perf/sample/total_duration_max_s: 0.0019361665472388268 - episode/total_tokens: 226.16666666666666 - episode/turns: 1.0185185185185186 - game/average_turns: 1.0185185185185186 - game/env_reward: -0.24074074074074073 - game/games_played: 108.0 - game/invalid_action_penalty: 104.0 - game/invalid_action_rate: 0.9454545454545454 - game/missing_answer_tags: 104.0 - game/win_rate: 0.37037037037037035 - generator/generate/avg_tokens_generated: 3.5545454545454547 - generator/generate/count_requests: 109.0 - generator/generate/count_sequences_completed: 110.0 - generator/generate/sum_tokens_generated: 391.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5462477765977383 - generator_perf/_fetch_weights/total_duration_max_s: 1.5462477765977383 - generator_perf/generate/generate/duration_avg_s: 0.03982834991108288 - generator_perf/generate/generate/duration_max_s: 2.549236572265625 - generator_perf/generate/process_inputs/duration_avg_s: 0.0007667173793370073 - generator_perf/generate/process_inputs/duration_max_s: 0.0014696320295333862 - generator_perf/generate/total_duration_avg_s: 0.04069303354476368 - generator_perf/generate/total_duration_max_s: 2.5508157722949982 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5355214327573776 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5355214327573776 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7551121516153216 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7551121516153216 - groups/rate_dropped: 0.18518518518518517 - main/continuous_rollouts/count_rollout_iterations: 21.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.20206837520863002 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.643944545648992 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.023687386752239296 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.03917731810361147 - main_perf/continuous_rollouts/total_duration_avg_s: 0.23320803243237045 - main_perf/continuous_rollouts/total_duration_max_s: 2.6804082561284304 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.792689991183579 - main_perf/continuous_training/drop_weights/duration_max_s: 0.792689991183579 - main_perf/continuous_training/push_weights/duration_avg_s: 2.5712670041248202 - main_perf/continuous_training/push_weights/duration_max_s: 2.5712670041248202 - main_perf/continuous_training/total_duration_avg_s: 6.1620302982628345 - main_perf/continuous_training/total_duration_max_s: 6.1620302982628345 - main_perf/continuous_training/train_step/duration_avg_s: 0.17108972650021315 - main_perf/continuous_training/train_step/duration_max_s: 0.17108972650021315 - main_perf/continuous_training/update_weights/duration_avg_s: 2.6230492163449526 - main_perf/continuous_training/update_weights/duration_max_s: 2.6230492163449526 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0039327871054410934 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0039327871054410934 - reference_perf/forward/avg_sequence_length: 230.0 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00011550107349952062 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00014175474643707275 - reference_perf/forward/count_forward_passes: 22.0 - reference_perf/forward/forward/duration_avg_s: 0.015230842067727022 - reference_perf/forward/forward/duration_max_s: 0.01630489621311426 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00037751604048978714 - reference_perf/forward/garbage_collection/duration_max_s: 0.00045481976121664047 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.26053158442179364 - reference_perf/forward/memory_peak_max_gb: 5.610745906829834 - reference_perf/forward/to_device/duration_avg_s: 0.00010646351923545201 - reference_perf/forward/to_device/duration_max_s: 0.00011546537280082703 - reference_perf/forward/total_duration_avg_s: 0.01583196604180904 - reference_perf/forward/total_duration_max_s: 0.016951668076217175 - rl_trainer/avg_loss: 0.5173177123069763 - rl_trainer/learning_rate: 9.749749749749751e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005936911329627037 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005936911329627037 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005250666290521622 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005250666290521622 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.5695806965231895 - rl_trainer_perf/push_weights/total_duration_max_s: 2.5695806965231895 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.5684599252417684 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.5684599252417684 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14630152005702257 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.14630152005702257 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003153514117002487 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003153514117002487 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018155714496970177 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018155714496970177 - rl_trainer_perf/step/total_duration_avg_s: 0.16761346254497766 - rl_trainer_perf/step/total_duration_max_s: 0.16761346254497766 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:54:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:56 INFO Pushing weights for policy version 28 -[ReferenceModel-0/1] 2025-11-19 07:54:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:57 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 27: Starting training -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 718] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 718] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 719] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 4 -Total tokens: 323, Trainable tokens: 37 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 7 - [2] assistant : HIT - [3] user : Hand: 13, Dealer: 7 - [4] assistant : HIT - [5] user : Hand: 16, Dealer: 7 - [6] assistant : HIT - [7] user : Hand: 19, Dealer: 7 - [8] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -HIT<|im_end|> -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 5 non-trainable positions have target=-100 -✓ 32/33 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 720] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 721] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:57 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:57 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:58 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:58 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 722] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 723] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 3 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 724] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 725] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:58 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:58 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:58 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:58 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 726] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 727] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 3 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 728] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 729] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 6, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 6, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:58 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:59 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:59 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:54:59 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:54:59 INFO Completed weights push in 2.67 seconds -[Generator-0/1] 2025-11-19 07:54:59 INFO [Generator] Fetching weights for v28 to shared memory - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 730] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 6 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 731] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 732] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 733] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 3 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:54:59 INFO [GC] Performing periodic GC collection took 0.00 seconds -INFO 11-19 07:55:02 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:55:02 INFO Weight update completed (now v28) -[ReferenceModel-0/1] 2025-11-19 07:55:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:02 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=27 -Dropping weights @ version 27 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 734] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 734] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 735] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 736] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 737] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 261, Trainable tokens: 18 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 3 - [2] assistant : HIT - [3] user : Hand: 13, Dealer: 3 - [4] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:02 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100 -✓ 15/16 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 738] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropped weights @ version 27, took 0.92 seconds -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -WandbBackend: Logged 97 metrics at step 28 -=== [global_reduce] - METRICS STEP 28 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 80.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 62.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.07476635514018691 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.001580897718667984 - buffer_perf/sample/total_duration_max_s: 0.001580897718667984 - episode/total_tokens: 227.49425287356323 - episode/turns: 1.0574712643678161 - game/average_turns: 1.0574712643678161 - game/env_reward: -0.04597701149425287 - game/games_played: 87.0 - game/invalid_action_penalty: 83.0 - game/invalid_action_rate: 0.9021739130434783 - game/missing_answer_tags: 83.0 - game/win_rate: 0.4367816091954023 - generator/generate/avg_tokens_generated: 3.795698924731183 - generator/generate/count_requests: 93.0 - generator/generate/count_sequences_completed: 93.0 - generator/generate/sum_tokens_generated: 353.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.6833785427734256 - generator_perf/_fetch_weights/total_duration_max_s: 1.6833785427734256 - generator_perf/generate/generate/duration_avg_s: 0.046288689141632415 - generator_perf/generate/generate/duration_max_s: 2.569706298828125 - generator_perf/generate/process_inputs/duration_avg_s: 0.0009384278687097692 - generator_perf/generate/process_inputs/duration_max_s: 0.001597216010093689 - generator_perf/generate/total_duration_avg_s: 0.047328831591014996 - generator_perf/generate/total_duration_max_s: 2.5708554188162087 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.667485861107707 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.667485861107707 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.6778389969840646 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.6778389969840646 - groups/rate_dropped: 0.09523809523809523 - main/continuous_rollouts/count_rollout_iterations: 20.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.23785201019861482 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.67082264367491 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04434377471916377 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.44643252063542604 - main_perf/continuous_rollouts/total_duration_avg_s: 0.2915069208141755 - main_perf/continuous_rollouts/total_duration_max_s: 2.67378759291023 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.9242741037160158 - main_perf/continuous_training/drop_weights/duration_max_s: 0.9242741037160158 - main_perf/continuous_training/push_weights/duration_avg_s: 2.674875734373927 - main_perf/continuous_training/push_weights/duration_max_s: 2.674875734373927 - main_perf/continuous_training/total_duration_avg_s: 6.391945952549577 - main_perf/continuous_training/total_duration_max_s: 6.391945952549577 - main_perf/continuous_training/train_step/duration_avg_s: 0.1785513274371624 - main_perf/continuous_training/train_step/duration_max_s: 0.1785513274371624 - main_perf/continuous_training/update_weights/duration_avg_s: 2.6098781526088715 - main_perf/continuous_training/update_weights/duration_max_s: 2.6098781526088715 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.004364180378615856 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.004364180378615856 - reference_perf/forward/avg_sequence_length: 235.3684210526316 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00011617797426879405 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00016262754797935486 - reference_perf/forward/count_forward_passes: 19.0 - reference_perf/forward/forward/duration_avg_s: 0.03655684879049659 - reference_perf/forward/forward/duration_max_s: 0.43757187854498625 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00038274927064776423 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004753824323415756 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.26597349643707274 - reference_perf/forward/memory_peak_max_gb: 6.011480808258057 - reference_perf/forward/to_device/duration_avg_s: 0.00011727893725037575 - reference_perf/forward/to_device/duration_max_s: 0.00016065314412117004 - reference_perf/forward/total_duration_avg_s: 0.03717487729154527 - reference_perf/forward/total_duration_max_s: 0.4381892355158925 - rl_trainer/avg_loss: 0.40751171112060547 - rl_trainer/learning_rate: 9.73973973973974e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005134893581271172 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005134893581271172 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.00048592686653137207 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.00048592686653137207 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.6712613003328443 - rl_trainer_perf/push_weights/total_duration_max_s: 2.6712613003328443 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.6702595595270395 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.6702595595270395 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1548011852428317 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.1548011852428317 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209231853485107 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0024487245827913284 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0024487245827913284 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017838754691183567 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017838754691183567 - rl_trainer_perf/step/total_duration_avg_s: 0.17509095836430788 - rl_trainer_perf/step/total_duration_max_s: 0.17509095836430788 -============================== - -[ReferenceModel-0/1] 2025-11-19 07:55:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:55:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:55:03 INFO Pushing weights for policy version 29 -[ReferenceModel-0/1] 2025-11-19 07:55:03 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ -[ROLLOUT 739] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[TRAINING] Step 28: Starting training -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 740] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 4 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 741] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 742] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 742] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags![ReferenceModel-0/1] 2025-11-19 07:55:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:03 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 743] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 744] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 745] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 746] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 5 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ -[ReferenceModel-0/1] 2025-11-19 07:55:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:04 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:04 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:04 INFO [GC] Performing periodic GC collection took 0.00 seconds - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 747] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 2 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 748] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 749] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 4, Dealer: 5 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 4, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 750] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:04 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:04 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 751] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 752] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 752] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 753] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 753] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 754] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:05 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:05 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:05 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 754] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 755] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 756] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 757] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 19 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 9 - [2] assistant : HIT - [3] user : Hand: 15, Dealer: 9 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100 -✓ 16/17 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 758] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:05 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:55:05 INFO Completed weights push in 2.56 seconds -[Generator-0/1] 2025-11-19 07:55:05 INFO [Generator] Fetching weights for v29 to shared memory -INFO 11-19 07:55:08 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:55:08 INFO Weight update completed (now v29) -[ReferenceModel-0/1] 2025-11-19 07:55:08 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:08 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropping weights @ version 28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 759] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=28 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 760] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 760] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 761] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 762] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 3 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:08 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:08 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:08 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:09 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 763] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 764] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 765] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 766] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 8 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:09 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -Dropped weights @ version 28, took 1.03 seconds -WandbBackend: Logged 95 metrics at step 29 -=== [global_reduce] - METRICS STEP 29 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 88.0 - buffer/episodes_accepted: 88.0 - buffer/episodes_generated: 88.0 - buffer/evict/sum_episodes_evicted: 87.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.08 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.001874755136668682 - buffer_perf/sample/total_duration_max_s: 0.001874755136668682 - episode/total_tokens: 226.28440366972478 - episode/turns: 1.018348623853211 - game/average_turns: 1.018348623853211 - game/env_reward: -0.2018348623853211 - game/games_played: 109.0 - game/invalid_action_penalty: 106.0 - game/invalid_action_rate: 0.954954954954955 - game/missing_answer_tags: 106.0 - game/win_rate: 0.3669724770642202 - generator/generate/avg_tokens_generated: 3.609090909090909 - generator/generate/count_requests: 110.0 - generator/generate/count_sequences_completed: 110.0 - generator/generate/sum_tokens_generated: 397.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.4885307308286428 - generator_perf/_fetch_weights/total_duration_max_s: 1.4885307308286428 - generator_perf/generate/generate/duration_avg_s: 0.03924553737640383 - generator_perf/generate/generate/duration_max_s: 2.44056494140625 - generator_perf/generate/process_inputs/duration_avg_s: 0.0009150900347666307 - generator_perf/generate/process_inputs/duration_max_s: 0.002942784070968628 - generator_perf/generate/total_duration_avg_s: 0.040262466537954546 - generator_perf/generate/total_duration_max_s: 2.4414569733813405 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.488700338639319 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.488700338639319 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.6775819966569543 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.6775819966569543 - groups/rate_dropped: 0.17857142857142858 - main/continuous_rollouts/count_rollout_iterations: 22.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.1970841978090229 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.5292297583073378 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.02430191771550612 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.027243913151323795 - main_perf/continuous_rollouts/total_duration_avg_s: 0.22887699457782287 - main_perf/continuous_rollouts/total_duration_max_s: 2.572290947660804 - main_perf/continuous_training/drop_weights/duration_avg_s: 1.0265387240797281 - main_perf/continuous_training/drop_weights/duration_max_s: 1.0265387240797281 - main_perf/continuous_training/push_weights/duration_avg_s: 2.5619416274130344 - main_perf/continuous_training/push_weights/duration_max_s: 2.5619416274130344 - main_perf/continuous_training/total_duration_avg_s: 6.1912352573126554 - main_perf/continuous_training/total_duration_max_s: 6.1912352573126554 - main_perf/continuous_training/train_step/duration_avg_s: 0.17142716888338327 - main_perf/continuous_training/train_step/duration_max_s: 0.17142716888338327 - main_perf/continuous_training/update_weights/duration_avg_s: 2.427398565225303 - main_perf/continuous_training/update_weights/duration_max_s: 2.427398565225303 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.003927619196474552 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.003927619196474552 - reference_perf/forward/avg_sequence_length: 229.6086956521739 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00014800646088340065 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00018148496747016907 - reference_perf/forward/count_forward_passes: 23.0 - reference_perf/forward/forward/duration_avg_s: 0.016140712636776945 - reference_perf/forward/forward/duration_max_s: 0.018939494155347347 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00046783461320129305 - reference_perf/forward/garbage_collection/duration_max_s: 0.0005325376987457275 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.26006111231717194 - reference_perf/forward/memory_peak_max_gb: 5.597161769866943 - reference_perf/forward/to_device/duration_avg_s: 0.00014633566818454048 - reference_perf/forward/to_device/duration_max_s: 0.00015910062938928604 - reference_perf/forward/total_duration_avg_s: 0.01690476629036394 - reference_perf/forward/total_duration_max_s: 0.01981398928910494 - rl_trainer/avg_loss: -0.2407599538564682 - rl_trainer/learning_rate: 9.729729729729732e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005844272673130035 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005844272673130035 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0006524994969367981 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0006524994969367981 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.5602420791983604 - rl_trainer_perf/push_weights/total_duration_max_s: 2.5602420791983604 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.559003178961575 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.559003178961575 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14757871814072132 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.14757871814072132 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0026196837425231934 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0026196837425231934 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01774454116821289 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01774454116821289 - rl_trainer_perf/step/total_duration_avg_s: 0.1679453868418932 - rl_trainer_perf/step/total_duration_max_s: 0.1679453868418932 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:55:09 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:09 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:55:09 INFO Pushing weights for policy version 30 -[ReferenceModel-0/1] 2025-11-19 07:55:09 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 29: Starting training -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 767] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 768] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 768] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 769] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 770] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:09 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:10 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 770] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 771] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 259, Trainable tokens: 19 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: Ace - [2] assistant : HIT - [3] user : Hand: 16, Dealer: Ace - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 16, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 3 non-trainable positions have target=-100 -✓ 16/17 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 772] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 772] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 773] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 774] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:10 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:10 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:11 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:11 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 775] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 776] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 10 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 8/9 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 777] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 778] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:11 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:11 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:11 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:11 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:55:11 INFO Completed weights push in 2.47 seconds -[Generator-0/1] 2025-11-19 07:55:11 INFO [Generator] Fetching weights for v30 to shared memory -INFO 11-19 07:55:14 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:55:14 INFO Weight update completed (now v30) - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 779] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 780] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 781] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 3 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Dropping weights @ version 29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 782] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:14 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:14 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:14 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:14 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=29 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 783] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 784] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 785] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 786] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:15 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 787] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 788] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -Dropped weights @ version 29, took 1.02 seconds -WandbBackend: Logged 95 metrics at step 30 -=== [global_reduce] - METRICS STEP 30 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 80.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 85.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.07766990291262135 - buffer/sample/avg_sampled_policy_age: 0.75 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.001812199130654335 - buffer_perf/sample/total_duration_max_s: 0.001812199130654335 - episode/total_tokens: 225.85555555555555 - episode/turns: 1.011111111111111 - game/average_turns: 1.011111111111111 - game/env_reward: -0.1 - game/games_played: 90.0 - game/invalid_action_penalty: 87.0 - game/invalid_action_rate: 0.9560439560439561 - game/missing_answer_tags: 87.0 - game/win_rate: 0.4444444444444444 - generator/generate/avg_tokens_generated: 3.5384615384615383 - generator/generate/count_requests: 92.0 - generator/generate/count_sequences_completed: 91.0 - generator/generate/sum_tokens_generated: 322.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.6203285669907928 - generator_perf/_fetch_weights/total_duration_max_s: 1.6203285669907928 - generator_perf/generate/generate/duration_avg_s: 0.04544030944069664 - generator_perf/generate/generate/duration_max_s: 2.609172607421875 - generator_perf/generate/process_inputs/duration_avg_s: 0.0008046171419568111 - generator_perf/generate/process_inputs/duration_max_s: 0.0014885120391845703 - generator_perf/generate/total_duration_avg_s: 0.046350206231179 - generator_perf/generate/total_duration_max_s: 2.6101351994276047 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.620425152592361 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.620425152592361 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7070877412334085 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7070877412334085 - groups/rate_dropped: 0.13636363636363635 - main/continuous_rollouts/count_rollout_iterations: 20.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.22028401141743298 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.703076757490635 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.045880296966060996 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.45799152832478285 - main_perf/continuous_rollouts/total_duration_avg_s: 0.27502521155806986 - main_perf/continuous_rollouts/total_duration_max_s: 2.743109573610127 - main_perf/continuous_training/drop_weights/duration_avg_s: 1.0205280045047402 - main_perf/continuous_training/drop_weights/duration_max_s: 1.0205280045047402 - main_perf/continuous_training/push_weights/duration_avg_s: 2.4755190815776587 - main_perf/continuous_training/push_weights/duration_max_s: 2.4755190815776587 - main_perf/continuous_training/total_duration_avg_s: 6.27009211294353 - main_perf/continuous_training/total_duration_max_s: 6.27009211294353 - main_perf/continuous_training/train_step/duration_avg_s: 0.16904449369758368 - main_perf/continuous_training/train_step/duration_max_s: 0.16904449369758368 - main_perf/continuous_training/update_weights/duration_avg_s: 2.6014223247766495 - main_perf/continuous_training/update_weights/duration_max_s: 2.6014223247766495 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0035758651793003082 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0035758651793003082 - reference_perf/forward/avg_sequence_length: 228.3684210526316 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00014797546900808812 - reference_perf/forward/compute_logprobs/duration_max_s: 0.0001702588051557541 - reference_perf/forward/count_forward_passes: 19.0 - reference_perf/forward/forward/duration_avg_s: 0.037528987228870395 - reference_perf/forward/forward/duration_max_s: 0.44930229522287846 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00046409694477915763 - reference_perf/forward/garbage_collection/duration_max_s: 0.0005253469571471214 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.25844540596008303 - reference_perf/forward/memory_peak_max_gb: 5.576785564422607 - reference_perf/forward/to_device/duration_avg_s: 0.00014827349223196508 - reference_perf/forward/to_device/duration_max_s: 0.0001652110368013382 - reference_perf/forward/total_duration_avg_s: 0.03829113738611341 - reference_perf/forward/total_duration_max_s: 0.4500983227044344 - rl_trainer/avg_loss: 0.636593222618103 - rl_trainer/learning_rate: 9.719719719719721e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005173338577151299 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005173338577151299 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0004980862140655518 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0004980862140655518 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.473774094134569 - rl_trainer_perf/push_weights/total_duration_max_s: 2.473774094134569 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.4727563904598355 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.4727563904598355 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14606546238064766 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.14606546238064766 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209262371063232 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0024613849818706512 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0024613849818706512 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017469022423028946 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017469022423028946 - rl_trainer_perf/step/total_duration_avg_s: 0.16599842347204685 - rl_trainer_perf/step/total_duration_max_s: 0.16599842347204685 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:55:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:55:15 INFO Pushing weights for policy version 31 -[ReferenceModel-0/1] 2025-11-19 07:55:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 30: Starting training -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 789] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 3 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 790] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 8 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 791] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 5 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 791] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 792] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 5 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ -[ReferenceModel-0/1] 2025-11-19 07:55:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:16 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:16 INFO [GC] Performing periodic GC collection took 0.00 seconds - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 793] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 5, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 5, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 793] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 794] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 795] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 796] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:16 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 796] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 797] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 797] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 798] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 798] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 799] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 800] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:16 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:16 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:17 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 801] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 8 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 802] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 2 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 803] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 8 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 804] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:17 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 805] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 806] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 807] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 7 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 808] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:18 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:18 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:55:18 INFO Completed weights push in 2.66 seconds -[Generator-0/1] 2025-11-19 07:55:18 INFO [Generator] Fetching weights for v31 to shared memory -INFO 11-19 07:55:21 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-19 07:55:21 INFO Weight update completed (now v31) -[ReferenceModel-0/1] 2025-11-19 07:55:21 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 809] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 810] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=30 -Dropping weights @ version 30 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 811] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 6, Dealer: 5 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 6, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 812] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:21 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:21 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:21 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 813] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 814] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 814] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 815] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 816] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 10 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:22 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 8/9 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -Dropped weights @ version 30, took 0.99 seconds -WandbBackend: Logged 95 metrics at step 31 -=== [global_reduce] - METRICS STEP 31 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 88.0 - buffer/episodes_accepted: 88.0 - buffer/episodes_generated: 88.0 - buffer/evict/sum_episodes_evicted: 83.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.08 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.001707601360976696 - buffer_perf/sample/total_duration_max_s: 0.001707601360976696 - episode/total_tokens: 225.8053097345133 - episode/turns: 1.008849557522124 - game/average_turns: 1.008849557522124 - game/env_reward: -0.3893805309734513 - game/games_played: 113.0 - game/invalid_action_penalty: 111.0 - game/invalid_action_rate: 0.9736842105263158 - game/missing_answer_tags: 111.0 - game/win_rate: 0.2920353982300885 - generator/generate/avg_tokens_generated: 3.473684210526316 - generator/generate/count_requests: 114.0 - generator/generate/count_sequences_completed: 114.0 - generator/generate/sum_tokens_generated: 396.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.6927804071456194 - generator_perf/_fetch_weights/total_duration_max_s: 1.6927804071456194 - generator_perf/generate/generate/duration_avg_s: 0.04142771930025336 - generator_perf/generate/generate/duration_max_s: 2.826129638671875 - generator_perf/generate/process_inputs/duration_avg_s: 0.0009122133360227995 - generator_perf/generate/process_inputs/duration_max_s: 0.0025216000080108643 - generator_perf/generate/total_duration_avg_s: 0.04243657796975152 - generator_perf/generate/total_duration_max_s: 2.82750723862648 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.692924545146525 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.692924545146525 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.8192065022885799 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.8192065022885799 - groups/rate_dropped: 0.21428571428571427 - main/continuous_rollouts/count_rollout_iterations: 22.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.20681683789007366 - main_perf/continuous_rollouts/play_games/duration_max_s: 2.9316903883591294 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.02411909837445075 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.027305787429213524 - main_perf/continuous_rollouts/total_duration_avg_s: 0.2368702655658126 - main_perf/continuous_rollouts/total_duration_max_s: 2.969471827149391 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.9942124700173736 - main_perf/continuous_training/drop_weights/duration_max_s: 0.9942124700173736 - main_perf/continuous_training/push_weights/duration_avg_s: 2.6672699758782983 - main_perf/continuous_training/push_weights/duration_max_s: 2.6672699758782983 - main_perf/continuous_training/total_duration_avg_s: 6.65787342377007 - main_perf/continuous_training/total_duration_max_s: 6.65787342377007 - main_perf/continuous_training/train_step/duration_avg_s: 0.17063911445438862 - main_perf/continuous_training/train_step/duration_max_s: 0.17063911445438862 - main_perf/continuous_training/update_weights/duration_avg_s: 2.8220941750332713 - main_perf/continuous_training/update_weights/duration_max_s: 2.8220941750332713 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0036557959392666817 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0036557959392666817 - reference_perf/forward/avg_sequence_length: 228.0909090909091 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.00014664622193033045 - reference_perf/forward/compute_logprobs/duration_max_s: 0.00017600692808628082 - reference_perf/forward/count_forward_passes: 22.0 - reference_perf/forward/forward/duration_avg_s: 0.016079753002321177 - reference_perf/forward/forward/duration_max_s: 0.017919136211276054 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00046575873751531947 - reference_perf/forward/garbage_collection/duration_max_s: 0.000528380274772644 - reference_perf/forward/memory_delta_end_start_avg_gb: 0.2582087083296342 - reference_perf/forward/memory_peak_max_gb: 5.610745906829834 - reference_perf/forward/to_device/duration_avg_s: 0.000133099669421261 - reference_perf/forward/to_device/duration_max_s: 0.0001629972830414772 - reference_perf/forward/total_duration_avg_s: 0.016827075361189516 - reference_perf/forward/total_duration_max_s: 0.01878220494836569 - rl_trainer/avg_loss: 0.25655466318130493 - rl_trainer/learning_rate: 9.70970970970971e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005216309800744057 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005216309800744057 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005156630650162697 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005156630650162697 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.664330226369202 - rl_trainer_perf/push_weights/total_duration_max_s: 2.664330226369202 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.6632901979610324 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.6632901979610324 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.14505780301988125 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.14505780301988125 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 3.719329833984375e-05 - rl_trainer_perf/step/memory_peak_max_gb: 15.209384441375732 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0025143446400761604 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0025143446400761604 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017873156815767288 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017873156815767288 - rl_trainer_perf/step/total_duration_avg_s: 0.16544723697006702 - rl_trainer_perf/step/total_duration_max_s: 0.16544723697006702 -============================== - -[TitanTrainer-0/1] 2025-11-19 07:55:22 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:22 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-19 07:55:22 INFO Pushing weights for policy version 32 -[ReferenceModel-0/1] 2025-11-19 07:55:22 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:22 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 31: Starting training - -================================================================================ -[ROLLOUT 817] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 818] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 819] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 819] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 820] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31[ReferenceModel-0/1] 2025-11-19 07:55:22 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:22 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:23 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 821] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 8 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 822] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 823] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 824] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ -[ReferenceModel-0/1] 2025-11-19 07:55:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:23 INFO [GC] Performing periodic GC collection took 0.00 seconds - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 825] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 826] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: Ace - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 827] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 828] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:24 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 829] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 830] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 7 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 830] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -47.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 831] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 832] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -[ReferenceModel-0/1] 2025-11-19 07:55:24 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:24 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:24 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-19 07:55:24 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 833] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 834] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 835] Episode 0 Debug Info -================================================================================ -Reward: -47.0, Truncated: False, Turns: 1 -Total tokens: 225, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[BUFFER ADD] Added 4/4 episodes with policy_v=31 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 836] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 5 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> -[TitanTrainer-0/1] 2025-11-19 07:55:24 INFO Completed weights push in 2.66 seconds -[Generator-0/1] 2025-11-19 07:55:24 INFO [Generator] Fetching weights for v32 to shared memory -Traceback (most recent call last): - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run - return self._loop.run_until_complete(task) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete - return future.result() - ^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 35, in main - await bootstrap_main() -asyncio.exceptions.CancelledError - -During handling of the above exception, another exception occurred: - -Traceback (most recent call last): - File "", line 198, in _run_module_as_main - File "", line 88, in _run_code - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 82, in - invoke_main() # pragma: no cover - ^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 75, in invoke_main - asyncio.run(main()) - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 195, in run - return runner.run(main) - ^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 123, in run - raise KeyboardInterrupt() -KeyboardInterrupt -Traceback (most recent call last): - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run -Traceback (most recent call last): -Traceback (most recent call last): - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run - return self._loop.run_until_complete(task) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete - return future.result() - ^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 35, in main - await bootstrap_main() -asyncio.exceptions.CancelledError - -During handling of the above exception, another exception occurred: - -Traceback (most recent call last): - File "", line 198, in _run_module_as_main - File "", line 88, in _run_code - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 82, in - invoke_main() # pragma: no cover - ^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 75, in invoke_main - asyncio.run(main()) - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 195, in run - return runner.run(main) - ^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 123, in run - raise KeyboardInterrupt() -KeyboardInterrupt -Traceback (most recent call last): - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run - return self._loop.run_until_complete(task) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete - return future.result() - ^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 35, in main - await bootstrap_main() -asyncio.exceptions.CancelledError - -During handling of the above exception, another exception occurred: - -Traceback (most recent call last): - File "", line 198, in _run_module_as_main - File "", line 88, in _run_code - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 82, in - invoke_main() # pragma: no cover -Traceback (most recent call last): - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run -Traceback (most recent call last): - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run - return self._loop.run_until_complete(task) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete - return future.result() - ^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 35, in main - await bootstrap_main() -asyncio.exceptions.CancelledError - -During handling of the above exception, another exception occurred: - -Traceback (most recent call last): - File "", line 198, in _run_module_as_main - File "", line 88, in _run_code - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 82, in - invoke_main() # pragma: no cover - ^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 75, in invoke_main - asyncio.run(main()) - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 195, in run - return runner.run(main) - ^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 123, in run - raise KeyboardInterrupt() -KeyboardInterrupt - return self._loop.run_until_complete(task) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete - return future.result() - ^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 35, in main - await bootstrap_main() -asyncio.exceptions.CancelledError - -During handling of the above exception, another exception occurred: - -Traceback (most recent call last): - File "", line 198, in _run_module_as_main - File "", line 88, in _run_code - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 82, in - invoke_main() # pragma: no cover - ^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 75, in invoke_main - asyncio.run(main()) - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 195, in run - return runner.run(main) - ^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 123, in run -Traceback (most recent call last): - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run - return self._loop.run_until_complete(task) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete - return future.result() - ^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 35, in main - await bootstrap_main() -asyncio.exceptions.CancelledError - -During handling of the above exception, another exception occurred: - -Traceback (most recent call last): - File "", line 198, in _run_module_as_main - File "", line 88, in _run_code - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 82, in - invoke_main() # pragma: no cover - ^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/monarch/_src/actor/bootstrap_main.py", line 75, in invoke_main - asyncio.run(main()) - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 195, in run - return runner.run(main) - ^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 123, in run - raise KeyboardInterrupt() -KeyboardInterrupt -INFO: Shutting down -INFO: Waiting for application shutdown. -INFO: Application shutdown complete. -INFO: Finished server process [3539366] - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 3/4 trainable positions have valid targets -[ROLLOUT 836] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 837] Episode 0 Debug Info -================================================================================ -Reward: -51.0, Truncated: False, Turns: 1 -Total tokens: 224, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> - -================================================================================ - - ---- Target Validation --- -✓ All 2 non-trainable positions have target=-100 -✓ 2/3 trainable positions have valid targets -[ROLLOUT 837] ⚠️ DROPPED GROUP - All 4 episodes have same reward: -51.0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: 'HIT...' -[ENV] Treating as STAND -Shutting down... (this may take a few seconds) -Timeout waiting for rollouts; forcing cancellation... -Shutting down Forge actors... -Shutting down metric logger... -Metric logging fetcher shutdown timed out likely due to the child process being terminated before the parent. -wandb: updating run metadata -wandb: uploading history steps 30-30, summary, console lines 61733-61733 -wandb: -wandb: Run history: -wandb: buffer/acceptance_rate ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ -wandb: buffer/add/count_episodes_added ▃▃▁▆▇█▆▆▆▆█▅▄▆▆▆▆▆▅▅▆▅▅▆▄▅▅▅▅▅▅ -wandb: buffer/episodes_accepted ▃▃▁▆▇█▆▆▆▆█▅▄▆▆▆▆▆▅▅▆▅▅▆▄▅▅▅▅▅▅ -wandb: buffer/episodes_generated ▃▃▁▆▇█▆▆▆▆█▅▄▆▆▆▆▆▅▅▆▅▅▆▄▅▅▅▅▅▅ -wandb: buffer/evict/sum_episodes_evicted ▁▁▄▃▂▆██▆▆▇▇█▆▅▆▆▆▇▆▆▆▆▆▅▆▅▄▆▆▅ -wandb: buffer/rate_rejected_truncated ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ -wandb: buffer/sample/avg_data_utilization █▂▂▄▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ -wandb: buffer/sample/avg_sampled_policy_age ▁█▇█▅█▇▇█▇▆▆▅▆█▇▇▆▅▅█▅▆▇▆█▅█▇▆█ -wandb: buffer/sample/count_sample_requests █▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ -wandb: buffer/sample/max_sampled_policy_age ▁██████████████████████████████ -wandb: +87 ... -wandb: -wandb: Run summary: -wandb: buffer/acceptance_rate 1 -wandb: buffer/add/count_episodes_added 88 -wandb: buffer/episodes_accepted 88 -wandb: buffer/episodes_generated 88 -wandb: buffer/evict/sum_episodes_evicted 83 -wandb: buffer/rate_rejected_truncated 0 -wandb: buffer/sample/avg_data_utilization 0.08 -wandb: buffer/sample/avg_sampled_policy_age 1 -wandb: buffer/sample/count_sample_requests 1 -wandb: buffer/sample/max_sampled_policy_age 1 -wandb: +87 ... -wandb: -wandb: 🚀 View run sunny-disco-70 at: https://wandb.ai/cabernet-team/blackjack-grpo/runs/o4d5i6sg -wandb: ⭐️ View project at: https://wandb.ai/cabernet-team/blackjack-grpo -wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s) -wandb: Find logs at: ./wandb/run-20251119_075029-o4d5i6sg/logs -WandbBackend global_reduce: Finished run -Shutting down provisioner.. -Shutting down 2 service(s) and 4 actor(s)... -Health loop stopped gracefully. -Traceback (most recent call last): - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run - return self._loop.run_until_complete(task) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete - return future.result() - ^^^^^^^^^^^^^^^ - File "/home/felipemello/forge/apps/blackjack/main_v2.py", line 1504, in main - await training_task - File "/home/felipemello/forge/apps/blackjack/main_v2.py", line 1478, in continuous_training - await policy.update_weights.fanout(training_step) - File "/home/felipemello/forge/src/forge/controller/service/interface.py", line 101, in fanout - result = await self.service.call_all(self.endpoint_name, *args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/home/felipemello/forge/src/forge/controller/service/service.py", line 231, in call_all - result = await request.future - ^^^^^^^^^^^^^^^^^^^^ -asyncio.exceptions.CancelledError - -During handling of the above exception, another exception occurred: - -Traceback (most recent call last): - File "", line 198, in _run_module_as_main - File "", line 88, in _run_code - File "/home/felipemello/forge/apps/blackjack/main_v2.py", line 1556, in - _main() # @parse grabs the cfg from CLI - ^^^^^^^ - File "/home/felipemello/forge/src/forge/util/config.py", line 313, in wrapper - sys.exit(recipe_main(conf)) - ^^^^^^^^^^^^^^^^^ - File "/home/felipemello/forge/apps/blackjack/main_v2.py", line 1554, in _main - asyncio.run(main(cfg)) - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 195, in run - return runner.run(main) - ^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 123, in run - raise KeyboardInterrupt() -KeyboardInterrupt -⚠ Forge shutdown timed out after 10s, forcing exit... -Stopping 1 OpenSpiel servers... -✓ All OpenSpiel servers stopped diff --git a/out2.txt b/out2.txt deleted file mode 100644 index 19de9f539..000000000 --- a/out2.txt +++ /dev/null @@ -1,36451 +0,0 @@ -Warning: setting HYPERACTOR_CODEC_MAX_FRAME_LENGTH since this needs to be set to enable large RPC calls via Monarch -INFO 11-20 09:07:24 [__init__.py:235] Automatically detected platform cuda. -Starting OpenSpiel server 0 for game 'blackjack' on port 9000... -Using game string: blackjack -[SERVER] Starting uvicorn for game 'blackjack' on port 9000 -INFO: Started server process [163517] -INFO: Waiting for application startup. -INFO: Application startup complete. -INFO: Uvicorn running on http://0.0.0.0:9000 (Press CTRL+C to quit) -Waiting for 1 OpenSpiel servers to be ready... -[DEBUG] Server 0 health check attempt 1 failed: ConnectionError -✓ OpenSpiel server 0 ready on port 9000 (took 2s) -Launcher not provided, remote allocations will not work. -wandb: Currently logged in as: felipemello (cabernet-team) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin -wandb: setting up run ju39r27c -wandb: Tracking run with wandb version 0.23.0 -wandb: Run data is saved locally in /home/felipemello/forge/wandb/run-20251120_090730-ju39r27c -wandb: Run `wandb offline` to turn off syncing. -wandb: Syncing run stilted-darkness-75 -wandb: ⭐️ View project at https://wandb.ai/cabernet-team/blackjack-grpo -wandb: 🚀 View run at https://wandb.ai/cabernet-team/blackjack-grpo/runs/ju39r27c -wandb: Detected [openai] in use. -wandb: Use W&B Weave for improved LLM call tracing. Install Weave with `pip install weave` then add `import weave` to the top of your script. -wandb: For more information, check out the docs at: https://weave-docs.wandb.ai/ -Spawning actor EnvironmentActor -Spawning service Generator -Spawning actor TitanTrainer -Spawning actor ReplayBuffer -Spawning actor ComputeAdvantages -Spawning service ReferenceModel -[TitanTrainer-0/1] 2025-11-20 09:07:43 INFO Compiling loss -[TitanTrainer-0/1] 2025-11-20 09:07:47 INFO Building 0-D device mesh with [], [] -[TitanTrainer-0/1] 2025-11-20 09:07:47 INFO [GC] Initial GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:07:49 INFO Total parameter count: dense 2,031,739,904, sparse 0, active 2,031,739,904 -[TitanTrainer-0/1] 2025-11-20 09:07:49 INFO Applied selective activation checkpointing to the model -INFO 11-20 09:07:50 [__init__.py:235] Automatically detected platform cuda. -NCCL version 2.27.5+cuda12.9 -[TitanTrainer-0/1] 2025-11-20 09:07:53 INFO Checkpointing active. Checkpoints will be loaded from and saved to ./checkpoint -[TitanTrainer-0/1] 2025-11-20 09:07:53 INFO Mixed precision training is handled by AMP -[TitanTrainer-0/1] 2025-11-20 09:07:53 INFO loading from HF safetensors from --checkpoint.initial_load_path: /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e -[TitanTrainer-0/1] 2025-11-20 09:07:53 INFO Loading the checkpoint from /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e. -[ReferenceModel-0/1] 2025-11-20 09:07:53 INFO Building 0-D device mesh with [], [] -[ReferenceModel-0/1] 2025-11-20 09:07:53 INFO [GC] Initial GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:07:54 INFO [GC] GC collection for checkpoint loading. took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:07:54 INFO Finished loading the checkpoint in 1.03 seconds. -[ReferenceModel-0/1] 2025-11-20 09:07:56 INFO Total parameter count: dense 2,031,739,904, sparse 0, active 2,031,739,904 -[ReferenceModel-0/1] 2025-11-20 09:07:56 INFO Applied selective activation checkpointing to the model -NCCL version 2.27.5+cuda12.9 -[ReferenceModel-0/1] 2025-11-20 09:07:56 INFO Checkpointing active. Checkpoints will be loaded from and saved to -[ReferenceModel-0/1] 2025-11-20 09:07:56 INFO Mixed precision training is handled by AMP -[ReferenceModel-0/1] 2025-11-20 09:07:56 INFO loading from HF safetensors from --checkpoint.initial_load_path: /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e -[ReferenceModel-0/1] 2025-11-20 09:07:56 INFO Loading the checkpoint from /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e. -[ReferenceModel-0/1] 2025-11-20 09:07:57 INFO [GC] GC collection for checkpoint loading. took 0.04 seconds -[ReferenceModel-0/1] 2025-11-20 09:07:57 INFO Finished loading the checkpoint in 0.99 seconds. -`torch_dtype` is deprecated! Use `dtype` instead! -INFO 11-20 09:07:59 [config.py:1604] Using max model len 40960 -INFO 11-20 09:07:59 [config.py:2434] Chunked prefill is enabled with max_num_batched_tokens=16384. -INFO 11-20 09:08:01 [__init__.py:235] Automatically detected platform cuda. -WARNING 11-20 09:08:03 [multiproc_worker_utils.py:307] Reducing Torch parallelism from 192 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. -[W1120 09:08:05.194847118 ProcessGroupNCCL.cpp:924] Warning: TORCH_NCCL_AVOID_RECORD_STREAMS is the default now, this environment variable is thus deprecated. (function operator()) -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -INFO 11-20 09:08:05 [parallel_state.py:1102] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 -WARNING 11-20 09:08:05 [topk_topp_sampler.py:59] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer. -INFO 11-20 09:08:05 [gpu_model_runner.py:1843] Starting to load model Qwen/Qwen3-1.7B... -INFO 11-20 09:08:05 [gpu_model_runner.py:1875] Loading model from scratch... -INFO 11-20 09:08:06 [cuda.py:290] Using Flash Attention backend on V1 engine. -INFO 11-20 09:08:06 [weight_utils.py:296] Using model weights format ['*.safetensors'] - Loading safetensors checkpoint shards: 0% Completed | 0/2 [00:00.datetime.now.` This function is either a Python builtin (e.g. _warnings.warn) or a third-party C/C++ Python extension (perhaps created with pybind). -If it is a Python builtin, please file an issue on GitHub so the PyTorch team can add support for it and see the next case for a workaround. -If it is a third-party C/C++ Python extension, please either wrap it into a PyTorch-understood custom operator (see https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html for more details) or, if it is traceable, use `torch.compiler.allow_in_graph`. - torch._dynamo.utils.warn_once(explanation + "\n" + "\n".join(hints)) -[ReferenceModel-0/1] 2025-11-20 09:08:55 INFO [GC] Performing periodic GC collection took 0.00 seconds -[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: -[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True -[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: -[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 -[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. -[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] -[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: -[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/home/felipemello/forge/apps/blackjack/main_v2.py", line 1253, in torch_dynamo_resume_in_simple_grpo_loss_at_1251 -[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] "loss_debug/num_trainable_tokens", loss_mask.sum().item(), Reduce.MEAN -[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] -[rank0]:W1120 09:08:55.369000 173269 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] -All services initialized successfully! -Torchstore successfully initialized with local rank strategy -Warming up policy with test generation... -✓ Policy ready, test response: ' We need to make it to interact in the team, so li...' -Testing OpenSpiel server connections... -✓ Server 0 test successful (port 9000), legal_actions=[0, 1] -Starting GRPO with 1 rollout threads -[Thread 0] Using server at http://localhost:9000 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 0] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 264, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 20, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 -[TRAINING] Step 0: Starting training -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 1] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 2] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 263, Trainable tokens: 16 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 14, Dealer: 10 - [4] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 3] Episode 0 Debug Info -================================================================================ -Reward: -7.0, Truncated: False, Turns: 1 -Total tokens: 226, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 8 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:08:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:08:58 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:08:59 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:00 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:02 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 4] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 264, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 12, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 5] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 229, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 - -================================================================================ -[ROLLOUT 6] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 7] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 6 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 8] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 264, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 21, Dealer: 10[ReferenceModel-0/1] 2025-11-20 09:09:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:04 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:06 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:08 INFO [GC] Performing periodic GC collection took 0.00 seconds - - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 9] Episode 0 Debug Info -================================================================================ -Reward: -7.0, Truncated: False, Turns: 1 -Total tokens: 227, Trainable tokens: 4 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 10] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 3 -Total tokens: 294, Trainable tokens: 24 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 6, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 11, Dealer: 10 - [4] assistant : HIT - [5] user : Hand: 15, Dealer: 10 - [6] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 6, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>HIT<|im_end|>HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 11] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 - -================================================================================ -[ROLLOUT 12] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> -[ReferenceModel-0/1] 2025-11-20 09:09:09 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:10 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:12 INFO [GC] Performing periodic GC collection took 0.00 seconds -/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/torch/cuda/memory.py:491: FutureWarning: torch.cuda.reset_max_memory_allocated now calls torch.cuda.reset_peak_memory_stats, which resets /all/ peak memory stats. - warnings.warn( -[TitanTrainer-0/1] 2025-11-20 09:09:14 INFO Pushing weights for policy version 1 -[ReferenceModel-0/1] 2025-11-20 09:09:14 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 13] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 3 -Total tokens: 292, Trainable tokens: 25 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 5, Dealer: 9 - [2] assistant : HIT - [3] user : Hand: 10, Dealer: 9 - [4] assistant : HIT - [5] user : Hand: 20, Dealer: 9 - [6] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 5, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 14] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 4 - [2] assistant : HIT - [3] user : Hand: 21, Dealer: 4 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 15] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 - -================================================================================ -[ROLLOUT 16] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 6 - [2] assistant : HIT - [3] user : Hand: 20, Dealer: 6 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> -[ReferenceModel-0/1] 2025-11-20 09:09:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:16 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:09:17 INFO Completed weights push in 3.79 seconds -[Generator-0/1] 2025-11-20 09:09:17 INFO [Generator] Fetching weights for v1 to shared memory -INFO 11-20 09:09:21 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:09:21 INFO Weight update completed (now v1) - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 17] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND -[ENV] ⚠️ INVALID action: Missing tags! -[ENV] Text: '...' -[ENV] Treating as STAND - -================================================================================ -[ROLLOUT 18] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 229, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=0 -WandbBackend: Logged 125 metrics at step 1 -=== [global_reduce] - METRICS STEP 1 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 304.0 - buffer/episodes_accepted: 304.0 - buffer/episodes_generated: 304.0 - buffer/evict/sum_episodes_evicted: 0.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 1.0 - buffer/sample/avg_sampled_policy_age: 0.0 - buffer/sample/count_sample_requests: 7.0 - buffer/sample/max_sampled_policy_age: 0.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0005090754213077682 - buffer_perf/sample/total_duration_max_s: 0.0031663840636610985 - episode/total_tokens: 250.42105263157896 - episode/turns: 1.6513157894736843 - game/average_turns: 1.6513157894736843 - game/env_reward: -0.28618421052631576 - game/games_played: 304.0 - game/invalid_action_penalty: 35.0 - game/invalid_action_rate: 0.0697211155378486 - game/missing_answer_tags: 35.0 - game/win_rate: 0.3190789473684211 - generator/generate/avg_tokens_generated: 12.05765407554672 - generator/generate/count_requests: 504.0 - generator/generate/count_sequences_completed: 503.0 - generator/generate/sum_tokens_generated: 6065.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 2.2953491024672985 - generator_perf/_fetch_weights/total_duration_max_s: 2.2953491024672985 - generator_perf/generate/generate/duration_avg_s: 0.052667126991165776 - generator_perf/generate/generate/duration_max_s: 8.7868193359375 - generator_perf/generate/process_inputs/duration_avg_s: 0.0010267147804586363 - generator_perf/generate/process_inputs/duration_max_s: 0.05137740707397461 - generator_perf/generate/total_duration_avg_s: 0.053769544101604436 - generator_perf/generate/total_duration_max_s: 8.838400263011456 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 2.2954543316736817 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 2.2954543316736817 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7206979300826788 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7206979300826788 - groups/rate_dropped: 0.0 - loss_debug/advantages_max: 1.1038708686828613 - loss_debug/advantages_mean: 0.0 - loss_debug/advantages_min: -3.1593544483184814 - loss_debug/advantages_std: 0.9999695420265198 - loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.0 - loss_debug/final_loss: 0.0 - loss_debug/kl_max: 0.0 - loss_debug/kl_mean: 0.0 - loss_debug/kl_min: 0.0 - loss_debug/kl_std: 0.0 - loss_debug/logprob_diff_max: 2.3841812435421161e-07 - loss_debug/logprob_diff_mean: 3.6518288393239118e-09 - loss_debug/logprob_diff_min: -1.1920565157197416e-07 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -0.09445653110742569 - loss_debug/logprobs_min: -6.501502513885498 - loss_debug/logprobs_std: 0.6043919324874878 - loss_debug/num_trainable_tokens: 196.0 - loss_debug/per_token_loss_max: 3.1593544483184814 - loss_debug/per_token_loss_mean: -0.2462540715932846 - loss_debug/per_token_loss_min: -1.1038708686828613 - loss_debug/policy_loss_max: 1.1038708686828613 - loss_debug/policy_loss_mean: 0.2462540715932846 - loss_debug/policy_loss_min: -3.1593544483184814 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.09445653110742569 - loss_debug/ref_logprobs_min: -6.501502513885498 - loss_debug/ref_logprobs_std: 0.6043919324874878 - loss_debug/seq_len: 264.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 19.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.1332410916097855 - main_perf/continuous_rollouts/play_games/duration_max_s: 1.3790146689862013 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.48901917873636674 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 4.251377924345434 - main_perf/continuous_rollouts/total_duration_avg_s: 1.66311438396377 - main_perf/continuous_rollouts/total_duration_max_s: 5.397115943022072 - main_perf/continuous_training/push_weights/duration_avg_s: 3.7963323732838035 - main_perf/continuous_training/push_weights/duration_max_s: 3.7963323732838035 - main_perf/continuous_training/total_duration_avg_s: 34.76267853844911 - main_perf/continuous_training/total_duration_max_s: 34.76267853844911 - main_perf/continuous_training/train_step/duration_avg_s: 21.637613276019692 - main_perf/continuous_training/train_step/duration_max_s: 21.637613276019692 - main_perf/continuous_training/update_weights/duration_avg_s: 3.3052288070321083 - main_perf/continuous_training/update_weights/duration_max_s: 3.3052288070321083 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 6.023499765433371 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 6.023499765433371 - reference_perf/forward/avg_sequence_length: 293.36842105263156 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.12854616044971504 - reference_perf/forward/compute_logprobs/duration_max_s: 1.9057039432227612 - reference_perf/forward/count_forward_passes: 19.0 - reference_perf/forward/forward/duration_avg_s: 0.3470371379762104 - reference_perf/forward/forward/duration_max_s: 2.337009396404028 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0004163480020667377 - reference_perf/forward/garbage_collection/duration_max_s: 0.0006471108645200729 - reference_perf/forward/memory_delta_end_start_avg_gb: 1.330101490020752 - reference_perf/forward/memory_peak_max_gb: 12.701750755310059 - reference_perf/forward/to_device/duration_avg_s: 0.00013060804064336576 - reference_perf/forward/to_device/duration_max_s: 0.00015628617256879807 - reference_perf/forward/total_duration_avg_s: 0.4761328844255523 - reference_perf/forward/total_duration_max_s: 4.243267910555005 - rl_trainer/avg_loss: 0.0 - rl_trainer/learning_rate: 1e-05 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.00048462487757205963 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.00048462487757205963 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.000505947507917881 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.000505947507917881 - rl_trainer_perf/push_weights/total_duration_avg_s: 3.7944181375205517 - rl_trainer_perf/push_weights/total_duration_max_s: 3.7944181375205517 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 3.793419393710792 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 3.793419393710792 - rl_trainer_perf/step/forward_backward/duration_avg_s: 21.557823604904115 - rl_trainer_perf/step/forward_backward/duration_max_s: 21.557823604904115 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 7.631590843200684 - rl_trainer_perf/step/memory_peak_max_gb: 15.202392101287842 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.055673263035714626 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.055673263035714626 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017527000978589058 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017527000978589058 - rl_trainer_perf/step/total_duration_avg_s: 21.63102785497904 - rl_trainer_perf/step/total_duration_max_s: 21.63102785497904 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:09:21 INFO [GC] Performing periodic GC collection took 0.01 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:22 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:24 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:25 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 1: Starting training - -================================================================================ -[ROLLOUT 19] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 264, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 18, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 20] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 261, Trainable tokens: 16 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 8 - [2] assistant : Hit - [3] user : Hand: 13, Dealer: 8 - [4] assistant : Hit - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -Hit<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -Hit<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -Hit<|im_end|>Hit<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 21] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 22] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 264, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 14, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 23] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> -[ReferenceModel-0/1] 2025-11-20 09:09:26 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:27 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:28 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:29 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:30 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 24] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 25] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 26] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 264, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 19, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 27] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 28] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> -[ReferenceModel-0/1] 2025-11-20 09:09:31 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:32 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:33 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:36 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 29] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 30] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 5, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 9, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 5, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 31] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 6 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 32] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 6, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 6, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 33] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> -[ReferenceModel-0/1] 2025-11-20 09:09:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:39 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:40 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:42 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 34] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 35] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 36] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 264, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 20, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 37] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 38] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> -[ReferenceModel-0/1] 2025-11-20 09:09:42 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:45 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:46 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:47 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 39] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 40] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 41] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 42] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 43] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:09:48 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:49 INFO [GC] Performing periodic GC collection took 0.00 seconds -/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/torch/cuda/memory.py:491: FutureWarning: torch.cuda.reset_max_memory_allocated now calls torch.cuda.reset_peak_memory_stats, which resets /all/ peak memory stats. - warnings.warn( -[TitanTrainer-0/1] 2025-11-20 09:09:49 INFO Pushing weights for policy version 2 -[ReferenceModel-0/1] 2025-11-20 09:09:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:51 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:52 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:09:52 INFO Completed weights push in 3.05 seconds -[Generator-0/1] 2025-11-20 09:09:52 INFO [Generator] Fetching weights for v2 to shared memory -INFO 11-20 09:09:55 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:09:55 INFO Weight update completed (now v2) - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 44] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 45] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 46] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 - -================================================================================ -[ROLLOUT 47] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 -Dropping weights @ version 1 - -================================================================================ -[ROLLOUT 48] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:09:55 INFO [GC] Performing periodic GC collection took 0.00 seconds - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=1 -Dropped weights @ version 1, took 1.08 seconds -WandbBackend: Logged 127 metrics at step 2 -=== [global_reduce] - METRICS STEP 2 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 480.0 - buffer/episodes_accepted: 480.0 - buffer/episodes_generated: 480.0 - buffer/evict/sum_episodes_evicted: 16.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.05555555555555555 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0008723028004169464 - buffer_perf/sample/total_duration_max_s: 0.0008723028004169464 - episode/total_tokens: 237.22886597938145 - episode/turns: 1.1958762886597938 - game/average_turns: 1.1958762886597938 - game/env_reward: -0.10515463917525773 - game/games_played: 485.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.422680412371134 - generator/generate/avg_tokens_generated: 8.782758620689656 - generator/generate/count_requests: 580.0 - generator/generate/count_sequences_completed: 580.0 - generator/generate/sum_tokens_generated: 5094.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5885394038632512 - generator_perf/_fetch_weights/total_duration_max_s: 1.5885394038632512 - generator_perf/generate/generate/duration_avg_s: 0.048618920641932004 - generator_perf/generate/generate/duration_max_s: 2.800273681640625 - generator_perf/generate/process_inputs/duration_avg_s: 0.0009213867587872356 - generator_perf/generate/process_inputs/duration_max_s: 0.002512320041656494 - generator_perf/generate/total_duration_avg_s: 0.04962887975925963 - generator_perf/generate/total_duration_max_s: 2.801340017683804 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5163810197263956 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5163810197263956 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.9008300518617034 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.9008300518617034 - groups/rate_dropped: 0.0 - loss_debug/advantages_max: 1.436065673828125 - loss_debug/advantages_mean: -0.08194378763437271 - loss_debug/advantages_min: -1.9730262756347656 - loss_debug/advantages_std: 0.9571942090988159 - loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.061492979526519775 - loss_debug/final_loss: 0.17963677644729614 - loss_debug/kl_max: 10.0 - loss_debug/kl_mean: 0.6149297952651978 - loss_debug/kl_min: -5.960464477539063e-08 - loss_debug/kl_std: 2.225198745727539 - loss_debug/logprob_diff_max: 20.5882568359375 - loss_debug/logprob_diff_mean: 0.3664703369140625 - loss_debug/logprob_diff_min: -4.400961399078369 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -0.5384318232536316 - loss_debug/logprobs_min: -21.56251335144043 - loss_debug/logprobs_std: 2.613826036453247 - loss_debug/num_trainable_tokens: 219.0 - loss_debug/per_token_loss_max: 2.9730262756347656 - loss_debug/per_token_loss_mean: -0.1352633237838745 - loss_debug/per_token_loss_min: -1.436065673828125 - loss_debug/policy_loss_max: 1.436065673828125 - loss_debug/policy_loss_mean: 0.1967562735080719 - loss_debug/policy_loss_min: -1.9730262756347656 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.17196154594421387 - loss_debug/ref_logprobs_min: -7.500553131103516 - loss_debug/ref_logprobs_std: 0.9522477984428406 - loss_debug/seq_len: 323.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 30.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.1033983861406644 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.820975959300995 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.10809481324007114 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.8883990235626698 - main_perf/continuous_rollouts/total_duration_avg_s: 1.2536967034141222 - main_perf/continuous_rollouts/total_duration_max_s: 3.9181653587147593 - main_perf/continuous_training/drop_weights/duration_avg_s: 1.0808169152587652 - main_perf/continuous_training/drop_weights/duration_max_s: 1.0808169152587652 - main_perf/continuous_training/push_weights/duration_avg_s: 3.049215412698686 - main_perf/continuous_training/push_weights/duration_max_s: 3.049215412698686 - main_perf/continuous_training/total_duration_avg_s: 35.10124156065285 - main_perf/continuous_training/total_duration_max_s: 35.10124156065285 - main_perf/continuous_training/train_step/duration_avg_s: 28.207441590726376 - main_perf/continuous_training/train_step/duration_max_s: 28.207441590726376 - main_perf/continuous_training/update_weights/duration_avg_s: 2.7606022199615836 - main_perf/continuous_training/update_weights/duration_max_s: 2.7606022199615836 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.003163238987326622 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.003163238987326622 - reference_perf/forward/avg_sequence_length: 263.4 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.020983527476588885 - reference_perf/forward/compute_logprobs/duration_max_s: 0.026347492821514606 - reference_perf/forward/count_forward_passes: 30.0 - reference_perf/forward/forward/duration_avg_s: 0.07314579645171762 - reference_perf/forward/forward/duration_max_s: 0.8537823846563697 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00042596661175290745 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004803091287612915 - reference_perf/forward/memory_delta_end_start_avg_gb: 1.1927501360575359 - reference_perf/forward/memory_peak_max_gb: 11.778019905090332 - reference_perf/forward/to_device/duration_avg_s: 0.00013107089325785636 - reference_perf/forward/to_device/duration_max_s: 0.00016391929239034653 - reference_perf/forward/total_duration_avg_s: 0.09468853858609995 - reference_perf/forward/total_duration_max_s: 0.8748530419543386 - rl_trainer/avg_loss: 0.17963677644729614 - rl_trainer/learning_rate: 1e-05 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005453163757920265 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005453163757920265 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0004995884373784065 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0004995884373784065 - rl_trainer_perf/push_weights/total_duration_avg_s: 3.0475411117076874 - rl_trainer_perf/push_weights/total_duration_max_s: 3.0475411117076874 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 3.046493273228407 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 3.046493273228407 - rl_trainer_perf/step/forward_backward/duration_avg_s: 28.16215018928051 - rl_trainer_perf/step/forward_backward/duration_max_s: 28.16215018928051 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 0.00011682510375976562 - rl_trainer_perf/step/memory_peak_max_gb: 19.491862773895264 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0028988178819417953 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0028988178819417953 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.03825633879750967 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.03825633879750967 - rl_trainer_perf/step/total_duration_avg_s: 28.203307930380106 - rl_trainer_perf/step/total_duration_max_s: 28.203307930380106 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:09:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:09:56 INFO Pushing weights for policy version 3 -[ReferenceModel-0/1] 2025-11-20 09:09:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:57 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:09:58 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:09:59 INFO Completed weights push in 2.73 seconds -[Generator-0/1] 2025-11-20 09:09:59 INFO [Generator] Fetching weights for v3 to shared memory -INFO 11-20 09:10:01 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:10:01 INFO Weight update completed (now v3) -[TRAINING] Step 2: Starting training - -================================================================================ -[ROLLOUT 49] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=2 - -================================================================================ -[ROLLOUT 50] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=2 - -================================================================================ -[ROLLOUT 51] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=2 -Dropping weights @ version 2 -Dropped weights @ version 2, took 1.02 seconds -WandbBackend: Logged 127 metrics at step 3 -=== [global_reduce] - METRICS STEP 3 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 48.0 - buffer/episodes_accepted: 48.0 - buffer/episodes_generated: 48.0 - buffer/evict/sum_episodes_evicted: 288.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.03333333333333333 - buffer/sample/avg_sampled_policy_age: 0.9375 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - 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loss_debug/kl_max: 5.438767910003662 - loss_debug/kl_mean: 0.33833256363868713 - loss_debug/kl_min: 0.0 - loss_debug/kl_std: 1.1499502658843994 - loss_debug/logprob_diff_max: 0.5718634128570557 - loss_debug/logprob_diff_mean: -0.4292902648448944 - loss_debug/logprob_diff_min: -6.437167167663574 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -0.11467456817626953 - loss_debug/logprobs_min: -5.753177642822266 - loss_debug/logprobs_std: 0.5987272262573242 - loss_debug/num_trainable_tokens: 182.0 - loss_debug/per_token_loss_max: 1.6492141485214233 - loss_debug/per_token_loss_mean: 0.314540296792984 - loss_debug/per_token_loss_min: -1.436065673828125 - loss_debug/policy_loss_max: 1.436065673828125 - loss_debug/policy_loss_mean: -0.2807070016860962 - loss_debug/policy_loss_min: -1.2499375343322754 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.5439648628234863 - loss_debug/ref_logprobs_min: -10.000045776367188 - loss_debug/ref_logprobs_std: 1.8088551759719849 - 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-[ReferenceModel-0/1] 2025-11-20 09:10:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:10:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:10:02 INFO Pushing weights for policy version 4 -[ReferenceModel-0/1] 2025-11-20 09:10:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:10:05 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:10:05 INFO Completed weights push in 2.81 seconds -[Generator-0/1] 2025-11-20 09:10:05 INFO [Generator] Fetching weights for v4 to shared memory -INFO 11-20 09:10:08 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:10:08 INFO Weight update completed (now v4) -[ReferenceModel-0/1] 2025-11-20 09:10:09 INFO [GC] Performing periodic GC collection took 0.00 seconds - -================================================================================ -[ROLLOUT 52] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 9 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[TRAINING] Step 3: Starting training -[BUFFER ADD] Added 16/16 episodes with policy_v=2 - -================================================================================ -[ROLLOUT 53] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=3 - -================================================================================ -[ROLLOUT 54] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=3 -Dropping weights @ version 3 - -================================================================================ -[ROLLOUT 55] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 5 - [2] assistant : HIT - [3] user : Hand: 17, Dealer: 5 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=3 -Dropped weights @ version 3, took 0.91 seconds -WandbBackend: Logged 127 metrics at step 4 -=== [global_reduce] - METRICS STEP 4 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 470.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.27586206896551724 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0044388435781002045 - buffer_perf/sample/total_duration_max_s: 0.0044388435781002045 - episode/total_tokens: 248.14285714285714 - episode/turns: 1.5510204081632653 - game/average_turns: 1.5510204081632653 - game/env_reward: -0.3469387755102041 - game/games_played: 49.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.2857142857142857 - generator/generate/avg_tokens_generated: 8.413333333333334 - generator/generate/count_requests: 75.0 - generator/generate/count_sequences_completed: 75.0 - 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-================================================================================ -[ROLLOUT 56] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 264, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 20, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=4 - -================================================================================ -[ROLLOUT 57] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=4 - -================================================================================ -[ROLLOUT 58] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=4 -Dropping weights @ version 4 - -================================================================================ -[ROLLOUT 59] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 261, Trainable tokens: 16 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 2 - [2] assistant : HIT - [3] user : Hand: 16, Dealer: 2 - [4] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 2<|im_end|> -<|im_start|>assistant - 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-================================================================================ -[ROLLOUT 60] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=5 - -================================================================================ -[ROLLOUT 61] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 6 - [2] assistant : HIT - [3] user : Hand: 18, Dealer: 6 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=5 - -================================================================================ -[ROLLOUT 62] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=5 -Dropping weights @ version 5 - -================================================================================ -[ROLLOUT 63] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - 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rl_trainer_perf/step/memory_delta_end_start_avg_gb: 9.489059448242188e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.944547653198242 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.00292903371155262 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.00292903371155262 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.020431116223335266 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.020431116223335266 - rl_trainer_perf/step/total_duration_avg_s: 1.5668083345517516 - rl_trainer_perf/step/total_duration_max_s: 1.5668083345517516 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:10:25 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:10:25 INFO Pushing weights for policy version 7 -[ReferenceModel-0/1] 2025-11-20 09:10:26 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:10:27 INFO Completed weights push in 2.33 seconds -[Generator-0/1] 2025-11-20 09:10:27 INFO [Generator] Fetching weights for v7 to shared memory -INFO 11-20 09:10:30 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:10:30 INFO Weight update completed (now v7) -[ReferenceModel-0/1] 2025-11-20 09:10:30 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 6: Starting training - -================================================================================ -[ROLLOUT 64] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 259, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: Ace - [2] assistant : HIT - [3] user : Hand: 12, Dealer: Ace - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 12, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=6 -Dropping weights @ version 6 - -================================================================================ -[ROLLOUT 65] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=6 -Dropped weights @ version 6, took 0.91 seconds -WandbBackend: Logged 127 metrics at step 7 -=== [global_reduce] - METRICS STEP 7 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 32.0 - buffer/episodes_accepted: 32.0 - buffer/episodes_generated: 32.0 - buffer/evict/sum_episodes_evicted: 65.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.22535211267605634 - buffer/sample/avg_sampled_policy_age: 0.75 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0009985454380512238 - buffer_perf/sample/total_duration_max_s: 0.0009985454380512238 - 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-================================================================================ -[ROLLOUT 66] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 260, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: Ace - [2] assistant : HIT - [3] user : Hand: 16, Dealer: Ace - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 16, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=7 - -================================================================================ -[ROLLOUT 67] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=7 - -================================================================================ -[ROLLOUT 68] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 229, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=7 - -================================================================================ -[ROLLOUT 69] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=7 -Dropping weights @ version 7 -Dropped weights @ version 7, took 0.87 seconds -WandbBackend: Logged 125 metrics at step 8 -=== [global_reduce] - METRICS STEP 8 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 63.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.4 - buffer/sample/avg_sampled_policy_age: 0.8125 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0010960828512907028 - buffer_perf/sample/total_duration_max_s: 0.0010960828512907028 - 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rl_trainer_perf/step/forward_backward/duration_avg_s: 1.628019079566002 - rl_trainer_perf/step/forward_backward/duration_max_s: 1.628019079566002 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 9.965896606445312e-05 - rl_trainer_perf/step/memory_peak_max_gb: 18.192720413208008 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003023947589099407 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003023947589099407 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.02612179983407259 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.02612179983407259 - rl_trainer_perf/step/total_duration_avg_s: 1.6571674915030599 - rl_trainer_perf/step/total_duration_max_s: 1.6571674915030599 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:10:39 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:10:40 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:10:41 INFO Pushing weights for policy version 9 -[ReferenceModel-0/1] 2025-11-20 09:10:41 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:10:42 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:10:43 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:10:44 INFO Completed weights push in 3.10 seconds -[Generator-0/1] 2025-11-20 09:10:44 INFO [Generator] Fetching weights for v9 to shared memory -INFO 11-20 09:10:46 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:10:46 INFO Weight update completed (now v9) -[TRAINING] Step 8: Starting training - -================================================================================ -[ROLLOUT 70] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 264, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 15, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=8 - -================================================================================ -[ROLLOUT 71] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=8 - -================================================================================ -[ROLLOUT 72] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=8 - -================================================================================ -[ROLLOUT 73] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 16 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 5, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 13, Dealer: 10 - [4] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 5, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=8 -Dropping weights @ version 8 -Dropped weights @ version 8, took 0.83 seconds -WandbBackend: Logged 125 metrics at step 9 -=== [global_reduce] - METRICS STEP 9 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 37.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.23880597014925373 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - 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-================================================================================ -[ROLLOUT 74] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 260, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: Ace - [2] assistant : HIT - [3] user : Hand: 18, Dealer: Ace - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 18, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=9 - -================================================================================ -[ROLLOUT 75] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - 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-================================================================================ -[ROLLOUT 76] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 263, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 5, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 14, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 5, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=10 - -================================================================================ -[ROLLOUT 77] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 263, Trainable tokens: 16 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 14, Dealer: 10 - [4] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=10 -Dropping weights @ version 10 - -================================================================================ -[ROLLOUT 78] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 7 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -Dropped weights @ version 10, took 0.59 seconds -WandbBackend: Logged 127 metrics at step 11 -=== [global_reduce] - METRICS STEP 11 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 32.0 - buffer/episodes_accepted: 32.0 - buffer/episodes_generated: 32.0 - buffer/evict/sum_episodes_evicted: 64.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.5 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0017132693901658058 - buffer_perf/sample/total_duration_max_s: 0.0017132693901658058 - episode/total_tokens: 262.2325581395349 - episode/turns: 1.744186046511628 - game/average_turns: 1.744186046511628 - game/env_reward: -0.3953488372093023 - game/games_played: 43.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.27906976744186046 - generator/generate/avg_tokens_generated: 13.24 - generator/generate/count_requests: 74.0 - generator/generate/count_sequences_completed: 75.0 - generator/generate/sum_tokens_generated: 993.0 - 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rl_trainer_perf/step/memory_peak_max_gb: 26.92799711227417 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.007857129909098148 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.007857129909098148 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.08005791809409857 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.08005791809409857 - rl_trainer_perf/step/total_duration_avg_s: 2.637418136931956 - rl_trainer_perf/step/total_duration_max_s: 2.637418136931956 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:11:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:11:05 INFO Pushing weights for policy version 12 -[TitanTrainer-0/1] 2025-11-20 09:11:08 INFO Completed weights push in 2.52 seconds -[Generator-0/1] 2025-11-20 09:11:08 INFO [Generator] Fetching weights for v12 to shared memory -INFO 11-20 09:11:10 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:11:10 INFO Weight update completed (now v12) -[ReferenceModel-0/1] 2025-11-20 09:11:11 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 11: Starting training -[BUFFER ADD] Added 16/16 episodes with policy_v=10 -Dropping weights @ version 11 - -================================================================================ -[ROLLOUT 79] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 427, Trainable tokens: 180 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 10 - [2] assistant : HIT - -Your hand is 11, and the dealer has 10. Since the dealer must hit until reac... - [3] user : Hand: 19, Dealer: 10 - [4] assistant : STAND - -Your hand is 19, and the dealer has 10. Since you are already close to 21 ... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 11, and the dealer has 10. Since the dealer must hit until reaching 17+, and your hand is weak (11), it's generally wise to **HIT** to improve your hand. The dealer is likely to draw a card to reach 17 or higher, and you have a good chance of improving your hand.<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND - -Your hand is 19, and the dealer has 10. Since you are already close to 21 (19 is 1 away from 20), and the dealer must hit until reaching 17+, it's optimal to **STAND**. You are already in a strong position, and the dealer is likely to draw a card, which could give them a better chance of beating you.<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT - -Your hand is 11, and the dealer has 10. Since the dealer must hit until reaching 17+, and your hand is weak (11), it's generally wise to **HIT** to improve your hand. The dealer is likely to draw a card to reach 17 or higher, and you have a good chance of improving your hand.<|im_end|>STAND - -Your hand is 19, and the dealer has 10. Since you are already close to 21 (19 is 1 away from 20), and the dealer must hit until reaching 17+, it's optimal to **STAND**. You are already in a strong position, and the dealer is likely to draw a card, which could give them a better chance of beating you.<|im_end|> -================================================================================ - -Dropped weights @ version 11, took 0.82 seconds -WandbBackend: Logged 127 metrics at step 12 -=== [global_reduce] - METRICS STEP 12 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 16.0 - buffer/episodes_accepted: 16.0 - buffer/episodes_generated: 16.0 - buffer/evict/sum_episodes_evicted: 32.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.5 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0011943420395255089 - buffer_perf/sample/total_duration_max_s: 0.0011943420395255089 - episode/total_tokens: 296.0 - episode/turns: 1.5625 - game/average_turns: 1.5625 - 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---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 14, Dealer: 10 - [4] assistant : HIT - [5] user : Hand: 19, Dealer: 10 - [6] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - 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---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : STAND - -Your hand is 18, and the dealer's hand is 10. Since you are already closer... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND - -Your hand is 18, and the dealer's hand is 10. Since you are already closer to 21 than the dealer (you are 3 away from 21, the dealer is 10 away from 21), it's optimal to **STAND**.<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND - -Your hand is 18, and the dealer's hand is 10. 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-================================================================================ -[ROLLOUT 82] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 426, Trainable tokens: 181 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 9 - [2] assistant : HIT - -Your hand is 12, and the dealer has 9. Since the dealer must hit until reach... - [3] user : Hand: 18, Dealer: 9 - [4] assistant : STAND - -Your hand is 18, and the dealer has 9. Since your hand is already close to... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 12, and the dealer has 9. Since the dealer must hit until reaching 17+, and the dealer's hand is currently 9, they will likely hit. Your hand is closer to 21 than the dealer's final hand, so it's reasonable to **hit** to increase your total and get closer to 21.<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND - -Your hand is 18, and the dealer has 9. Since your hand is already close to 21 (18 is 3 away from 21), and the dealer must hit until reaching 17+, it's optimal to **stand** to avoid the risk of the dealer improving their hand. Your hand is closer to 21 than the dealer's final hand, so it's a safe choice.<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT - -Your hand is 12, and the dealer has 9. Since the dealer must hit until reaching 17+, and the dealer's hand is currently 9, they will likely hit. Your hand is closer to 21 than the dealer's final hand, so it's reasonable to **hit** to increase your total and get closer to 21.<|im_end|>STAND - -Your hand is 18, and the dealer has 9. Since your hand is already close to 21 (18 is 3 away from 21), and the dealer must hit until reaching 17+, it's optimal to **stand** to avoid the risk of the dealer improving their hand. Your hand is closer to 21 than the dealer's final hand, so it's a safe choice.<|im_end|> -================================================================================ - -[TRAINING] Step 15: Waiting for buffer to have enough data... -[BUFFER ADD] Added 16/16 episodes with policy_v=14 -[TRAINING] Step 15: Starting training - -================================================================================ -[ROLLOUT 83] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - 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-================================================================================ -[ROLLOUT 84] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 3 -Total tokens: 516, Trainable tokens: 248 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 5 - [2] assistant : HIT - -Your hand is 12, and the dealer has 5. Since the dealer must hit until reach... - [3] user : Hand: 15, Dealer: 5 - [4] assistant : HIT - -Your hand is 15, and the dealer has 5. The dealer is still weak (5), and it'... - [5] user : Hand: 19, Dealer: 5 - [6] assistant : STAND - -Your hand is 19, and the dealer has 5. The dealer is still weak (5), but y... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 12, and the dealer has 5. Since the dealer must hit until reaching 17+, and the dealer's hand is weak (5), it's advantageous to **hit** to improve your chances of getting closer to 21. The dealer will likely hit multiple times, increasing the likelihood of getting a strong hand.<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 15, and the dealer has 5. The dealer is still weak (5), and it's advantageous to **hit** to improve your chances of getting closer to 21. The dealer will likely hit multiple times, increasing the likelihood of getting a strong hand.<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND - -Your hand is 19, and the dealer has 5. The dealer is still weak (5), but your hand is already close to 21 (19 is 2 away from 21). Since you are ahead of the dealer's starting hand (5), it's reasonable to **stand** and protect your current position. The dealer will likely hit until reaching 17+, and you have a strong chance of winning.<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT - -Your hand is 12, and the dealer has 5. Since the dealer must hit until reaching 17+, and the dealer's hand is weak (5), it's advantageous to **hit** to improve your chances of getting closer to 21. The dealer will likely hit multiple times, increasing the likelihood of getting a strong hand.<|im_end|>HIT - -Your hand is 15, and the dealer has 5. The dealer is still weak (5), and it's advantageous to **hit** to improve your chances of getting closer to 21. The dealer will likely hit multiple times, increasing the likelihood of getting a strong hand.<|im_end|>STAND - -Your hand is 19, and the dealer has 5. The dealer is still weak (5), but your hand is already close to 21 (19 is 2 away from 21). Since you are ahead of the dealer's starting hand (5), it's reasonable to **stand** and protect your current position. The dealer will likely hit until reaching 17+, and you have a strong chance of winning.<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=16 -[TRAINING] Step 17: Starting training -Dropping weights @ version 17 -Dropped weights @ version 17, took 0.58 seconds -WandbBackend: Logged 127 metrics at step 18 -=== [global_reduce] - METRICS STEP 18 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 16.0 - buffer/episodes_accepted: 16.0 - buffer/episodes_generated: 16.0 - buffer/evict/sum_episodes_evicted: 16.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 1.0 - buffer/sample/avg_sampled_policy_age: 0.8125 - buffer/sample/count_sample_requests: 2.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0003684437833726406 - buffer_perf/sample/total_duration_max_s: 0.0004885504022240639 - 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-================================================================================ -[ROLLOUT 85] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - 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rl_trainer_perf/step/total_duration_max_s: 1.6444263393059373 -============================== - -[ReferenceModel-0/1] 2025-11-20 09:12:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:12:18 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:12:20 INFO Pushing weights for policy version 20 -[ReferenceModel-0/1] 2025-11-20 09:12:22 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:12:23 INFO Completed weights push in 2.80 seconds -[Generator-0/1] 2025-11-20 09:12:23 INFO [Generator] Fetching weights for v20 to shared memory -INFO 11-20 09:12:25 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:12:25 INFO Weight update completed (now v20) - -================================================================================ -[ROLLOUT 86] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 407, Trainable tokens: 160 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : HIT - -Your hand is 16, and the dealer's hand is 10. Since the dealer must hit unti... - [3] user : Hand: 18, Dealer: 10 - [4] assistant : STAND - -Your hand is 18, and the dealer's hand is 10. Since your hand is already c... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 16, and the dealer's hand is 10. Since the dealer must hit until reaching 17+, and your hand is close to 21 (just 5 away), it's a good idea to **hit** to improve your hand. The dealer will likely hit and eventually reach 17+ or bust, giving you a chance to win.<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND - -Your hand is 18, and the dealer's hand is 10. Since your hand is already closer to 21 (just 1 away) and the dealer must hit until reaching 17+, it's optimal to **stand** and avoid the risk of the dealer improving their hand.<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT - -Your hand is 16, and the dealer's hand is 10. Since the dealer must hit until reaching 17+, and your hand is close to 21 (just 5 away), it's a good idea to **hit** to improve your hand. The dealer will likely hit and eventually reach 17+ or bust, giving you a chance to win.<|im_end|>STAND - -Your hand is 18, and the dealer's hand is 10. Since your hand is already closer to 21 (just 1 away) and the dealer must hit until reaching 17+, it's optimal to **stand** and avoid the risk of the dealer improving their hand.<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=18 -[TRAINING] Step 19: Starting training - -================================================================================ -[ROLLOUT 87] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 413, Trainable tokens: 168 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 9 - [2] assistant : HIT - -Your hand is 18, and the dealer has 9. Since the dealer must hit until reach... - [3] user : Hand: 18, Dealer: 9 - [4] assistant : HIT - -Your hand is 18, and the dealer has 9. Since the dealer must hit until reach... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 18, and the dealer has 9. Since the dealer must hit until reaching 17+, and your hand is already close to 21 (only 3 away), it's wise to **hit** to improve your hand. The dealer will likely hit and eventually reach 17+ or bust, giving you a chance to win.<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 18, and the dealer has 9. Since the dealer must hit until reaching 17+, and your hand is already close to 21 (only 3 away), it's wise to **hit** to improve your hand. The dealer will likely hit and eventually reach 17+ or bust, giving you a chance to win.<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT - -Your hand is 18, and the dealer has 9. Since the dealer must hit until reaching 17+, and your hand is already close to 21 (only 3 away), it's wise to **hit** to improve your hand. The dealer will likely hit and eventually reach 17+ or bust, giving you a chance to win.<|im_end|>HIT - -Your hand is 18, and the dealer has 9. Since the dealer must hit until reaching 17+, and your hand is already close to 21 (only 3 away), it's wise to **hit** to improve your hand. 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-================================================================================ -[ROLLOUT 88] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=19 -Dropping weights @ version 20 -Dropped weights @ version 20, took 0.86 seconds -WandbBackend: Logged 127 metrics at step 21 -=== [global_reduce] - METRICS STEP 21 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 16.0 - buffer/episodes_accepted: 16.0 - buffer/episodes_generated: 16.0 - buffer/evict/sum_episodes_evicted: 16.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 1.0 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - 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-================================================================================ -[ROLLOUT 89] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=20 -[TRAINING] Step 21: Starting training - -================================================================================ -[ROLLOUT 90] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 2 - [2] assistant : HIT - [3] user : Hand: 21, Dealer: 2 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - 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-================================================================================ -[ROLLOUT 91] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 2 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=21 -Dropping weights @ version 22 -Dropped weights @ version 22, took 0.70 seconds -WandbBackend: Logged 127 metrics at step 23 -=== [global_reduce] - METRICS STEP 23 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 16.0 - buffer/episodes_accepted: 16.0 - buffer/episodes_generated: 16.0 - buffer/evict/sum_episodes_evicted: 23.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.6956521739130435 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - 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rl_trainer_perf/step/total_duration_max_s: 1.6592157753184438 -============================== - -[ReferenceModel-0/1] 2025-11-20 09:12:52 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:12:53 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:12:55 INFO Pushing weights for policy version 24 -[ReferenceModel-0/1] 2025-11-20 09:12:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:12:58 INFO Completed weights push in 2.87 seconds -[Generator-0/1] 2025-11-20 09:12:58 INFO [Generator] Fetching weights for v24 to shared memory -INFO 11-20 09:13:00 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:13:00 INFO Weight update completed (now v24) - -================================================================================ -[ROLLOUT 92] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 295, Trainable tokens: 73 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 7 - [2] assistant : HIT - -Your hand is 20, which is close to 21. The dealer has 7, and they must hit u... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 20, which is close to 21. The dealer has 7, and they must hit until reaching 17+. Since you're already close to 21, it's wise to **HIT** to increase your score further and potentially reach 21 before the dealer.<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT - -Your hand is 20, which is close to 21. The dealer has 7, and they must hit until reaching 17+. Since you're already close to 21, it's wise to **HIT** to increase your score further and potentially reach 21 before the dealer.<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=22 -[TRAINING] Step 23: Starting training - -================================================================================ -[ROLLOUT 93] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 264, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 20, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=23 -Dropping weights @ version 23 -Dropped weights @ version 23, took 0.80 seconds -WandbBackend: Logged 127 metrics at step 24 -=== [global_reduce] - 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-================================================================================ -[ROLLOUT 94] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 4 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=23 - -================================================================================ -[ROLLOUT 95] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 4 -Total tokens: 328, Trainable tokens: 33 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 12, Dealer: 10 - [4] assistant : HIT - [5] user : Hand: 15, Dealer: 10 - [6] assistant : HIT - [7] user : Hand: 17, Dealer: 10 - [8] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>HIT<|im_end|>HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=24 -Dropping weights @ version 24 -Dropped weights @ version 24, took 0.64 seconds -WandbBackend: Logged 125 metrics at step 25 -=== [global_reduce] - METRICS STEP 25 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 32.0 - buffer/episodes_accepted: 32.0 - buffer/episodes_generated: 32.0 - buffer/evict/sum_episodes_evicted: 22.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.7272727272727273 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - 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-================================================================================ -[ROLLOUT 96] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 264, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 19, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=25 -Dropping weights @ version 25 -Dropped weights @ version 25, took 0.67 seconds -WandbBackend: Logged 127 metrics at step 26 -=== [global_reduce] - METRICS STEP 26 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 16.0 - buffer/episodes_accepted: 16.0 - buffer/episodes_generated: 16.0 - 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-================================================================================ -[ROLLOUT 97] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 446, Trainable tokens: 201 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : HIT - -Your hand is 13, and the dealer has 9. Since the dealer must hit until reach... - [3] user : Hand: 18, Dealer: 9 - [4] assistant : STAND - -Your hand is 18, and the dealer has 9. Since you are already close to 21 (... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 13, and the dealer has 9. Since the dealer must hit until reaching 17+, and you are not yet close to 21, it's wise to **hit** to improve your hand. Let's assume you hit and improve to 16 (for example). Now, the dealer will hit until reaching 17+. If the dealer busts, you win. If not, compare your total to the dealer's final total to see who is closer to 21.<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND - -Your hand is 18, and the dealer has 9. Since you are already close to 21 (only 3 points away), it's optimal to **stand** and avoid further risk. The dealer will hit until reaching 17+, and if they bust, you win. If they don't bust, compare your 18 to their final total.<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT - -Your hand is 13, and the dealer has 9. Since the dealer must hit until reaching 17+, and you are not yet close to 21, it's wise to **hit** to improve your hand. Let's assume you hit and improve to 16 (for example). Now, the dealer will hit until reaching 17+. If the dealer busts, you win. If not, compare your total to the dealer's final total to see who is closer to 21.<|im_end|>STAND - -Your hand is 18, and the dealer has 9. Since you are already close to 21 (only 3 points away), it's optimal to **stand** and avoid further risk. The dealer will hit until reaching 17+, and if they bust, you win. 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-================================================================================ -[ROLLOUT 98] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 572, Trainable tokens: 327 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 7 - [2] assistant : HIT - -Your hand is 12, and the dealer has 7. Since the dealer must hit until reach... - [3] user : Hand: 21, Dealer: 7 - [4] assistant : STAND - -Your hand is already 21 (a perfect blackjack hand). Since the dealer has 7... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 12, and the dealer has 7. Since the dealer must hit until reaching 17+, and the dealer's current total is 7, they will likely hit. However, your hand is closer to 21 than the dealer's final hand if you hit and get to 17 or 18. Let's assume you hit and get to 17 (e.g., by drawing a 5). Then your hand is 17, and the dealer's final hand is likely 17 or higher. If your hand (17) is closer to 21 than the dealer's final hand (say 18), you win. - -In the best scenario, if you hit and get to 17, and the dealer hits and ends at 18, you win. - -So, the correct action is: -STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND - -Your hand is already 21 (a perfect blackjack hand). Since the dealer has 7, they will hit until reaching 17+. If the dealer ends up with a hand closer to 21 than yours (which is 21), you win. However, if the dealer busts, you also win. - -In the best scenario, if the dealer hits and ends at 17 or 18, your hand (21) is exactly 21, so you win. - -Thus, the correct action is: -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT - -Your hand is 12, and the dealer has 7. Since the dealer must hit until reaching 17+, and the dealer's current total is 7, they will likely hit. However, your hand is closer to 21 than the dealer's final hand if you hit and get to 17 or 18. Let's assume you hit and get to 17 (e.g., by drawing a 5). Then your hand is 17, and the dealer's final hand is likely 17 or higher. If your hand (17) is closer to 21 than the dealer's final hand (say 18), you win. - -In the best scenario, if you hit and get to 17, and the dealer hits and ends at 18, you win. - -So, the correct action is: -STAND<|im_end|>STAND - -Your hand is already 21 (a perfect blackjack hand). Since the dealer has 7, they will hit until reaching 17+. If the dealer ends up with a hand closer to 21 than yours (which is 21), you win. However, if the dealer busts, you also win. - -In the best scenario, if the dealer hits and ends at 17 or 18, your hand (21) is exactly 21, so you win. - -Thus, the correct action is: -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=27 -[TRAINING] Step 27: Starting training -Dropping weights @ version 27 -Dropped weights @ version 27, took 0.81 seconds -WandbBackend: Logged 127 metrics at step 28 -=== [global_reduce] - METRICS STEP 28 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 16.0 - buffer/episodes_accepted: 16.0 - buffer/episodes_generated: 16.0 - buffer/evict/sum_episodes_evicted: 23.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 1.6513580246913584 - buffer/sample/avg_sampled_policy_age: 0.5 - buffer/sample/count_sample_requests: 9.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0001587430015206337 - 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-================================================================================ -[ROLLOUT 99] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 476, Trainable tokens: 255 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: Ace - [2] assistant : HIT - -Your hand is 16, and the dealer has an Ace (1 or 11). Since the dealer must ... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 16, and the dealer has an Ace (1 or 11). Since the dealer must hit until reaching 17, and Ace is worth 11, the dealer's hand is currently 11. The dealer will continue to draw cards until they reach 17 or higher. - -Your current hand is 16, which is 5 away from 21. The dealer's hand is 11, which is 10 away from 21. Since the dealer is likely to get closer to 21, it's a strategic move to HIT to get closer to 21. - -**Action: HIT** -**New hand: 17** (if the dealer draws a 1) or **16 + 1 = 17** (if the dealer draws a 10). -**New dealer hand: 11 + 1 = 12** (if dealer draws a 1). - -If the dealer reaches 17 or higher, the game proceeds. If the dealer busts, you win. If the dealer is closer to 21 than you, you lose. - -Keep playing!<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT - -Your hand is 16, and the dealer has an Ace (1 or 11). Since the dealer must hit until reaching 17, and Ace is worth 11, the dealer's hand is currently 11. The dealer will continue to draw cards until they reach 17 or higher. - -Your current hand is 16, which is 5 away from 21. The dealer's hand is 11, which is 10 away from 21. Since the dealer is likely to get closer to 21, it's a strategic move to HIT to get closer to 21. - -**Action: HIT** -**New hand: 17** (if the dealer draws a 1) or **16 + 1 = 17** (if the dealer draws a 10). -**New dealer hand: 11 + 1 = 12** (if dealer draws a 1). - -If the dealer reaches 17 or higher, the game proceeds. If the dealer busts, you win. If the dealer is closer to 21 than you, you lose. - -Keep playing!<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=27 -[TRAINING] Step 28: Starting training - -================================================================================ -[ROLLOUT 100] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 315, Trainable tokens: 92 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : HIT - -Your hand is 15, and the dealer has 10. Since the dealer must hit until reac... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 15, and the dealer has 10. Since the dealer must hit until reaching 17+, and 10 is below 17, the dealer will likely hit. However, your hand is closer to 21 than the dealer's final hand (which we'll need to see), so you should **HIT** to try to get closer to 21.<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT - -Your hand is 15, and the dealer has 10. Since the dealer must hit until reaching 17+, and 10 is below 17, the dealer will likely hit. However, your hand is closer to 21 than the dealer's final hand (which we'll need to see), so you should **HIT** to try to get closer to 21.<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=28 -Dropping weights @ version 28 -Dropped weights @ version 28, took 0.65 seconds -WandbBackend: Logged 127 metrics at step 29 -=== [global_reduce] - METRICS STEP 29 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 32.0 - buffer/episodes_accepted: 32.0 - buffer/episodes_generated: 32.0 - buffer/evict/sum_episodes_evicted: 17.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 1.6666666666666667 - buffer/sample/avg_sampled_policy_age: 0.625 - buffer/sample/count_sample_requests: 4.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.00025937100872397423 - buffer_perf/sample/total_duration_max_s: 0.0005189375951886177 - 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rl_trainer_perf/step/forward_backward/duration_max_s: 1.5868204664438963 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 0.00014352798461914062 - rl_trainer_perf/step/memory_peak_max_gb: 21.344404220581055 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0030191903933882713 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0030191903933882713 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.06114907283335924 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.06114907283335924 - rl_trainer_perf/step/total_duration_avg_s: 1.6509912135079503 - rl_trainer_perf/step/total_duration_max_s: 1.6509912135079503 -============================== - -[ReferenceModel-0/1] 2025-11-20 09:14:01 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:14:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:14:03 INFO Pushing weights for policy version 31 -[TitanTrainer-0/1] 2025-11-20 09:14:06 INFO Completed weights push in 3.11 seconds -[Generator-0/1] 2025-11-20 09:14:06 INFO [Generator] Fetching weights for v31 to shared memory -INFO 11-20 09:14:09 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:14:09 INFO Weight update completed (now v31) -[ReferenceModel-0/1] 2025-11-20 09:14:09 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 30: Waiting for buffer to have enough data... -[TRAINING] Step 30: Waiting for buffer to have enough data... - -================================================================================ -[ROLLOUT 101] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 3 -Total tokens: 488, Trainable tokens: 220 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 8 - [2] assistant : HIT - -Your hand is 12, and the dealer has 8. Since the dealer must hit until reach... - [3] user : Hand: 15, Dealer: 8 - [4] assistant : HIT - -Your hand is 15, and the dealer has 8. The dealer is very weak (only 8), and... - [5] user : Hand: 18, Dealer: 8 - [6] assistant : STAND - -Your hand is 18, and the dealer has 8. The dealer is very weak (only 8), a... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 12, and the dealer has 8. Since the dealer must hit until reaching 17+, and 8 is very weak, the best strategy is to **hit** to improve your chances of reaching 21. Let's see what happens next.<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 15, and the dealer has 8. The dealer is very weak (only 8), and you have a strong hand (15). It's optimal to **hit** again to improve your chances of reaching 21. Let's see what happens next.<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND - -Your hand is 18, and the dealer has 8. The dealer is very weak (only 8), and you have a strong hand (18). It's optimal to **stand** to avoid the risk of the dealer hitting and potentially busting or improving against you. Your hand is already close to 21, and you're in a strong position.<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT - -Your hand is 12, and the dealer has 8. Since the dealer must hit until reaching 17+, and 8 is very weak, the best strategy is to **hit** to improve your chances of reaching 21. Let's see what happens next.<|im_end|>HIT - -Your hand is 15, and the dealer has 8. The dealer is very weak (only 8), and you have a strong hand (15). It's optimal to **hit** again to improve your chances of reaching 21. Let's see what happens next.<|im_end|>STAND - -Your hand is 18, and the dealer has 8. The dealer is very weak (only 8), and you have a strong hand (18). It's optimal to **stand** to avoid the risk of the dealer hitting and potentially busting or improving against you. Your hand is already close to 21, and you're in a strong position.<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=29 -[TRAINING] Step 30: Starting training -Dropping weights @ version 30 - -================================================================================ -[ROLLOUT 102] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 304, Trainable tokens: 81 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : HIT - -Your hand is 18, and the dealer has 10. Since the dealer must hit until reac... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 18, and the dealer has 10. Since the dealer must hit until reaching 17+, it's likely the dealer will draw a card to get closer to 21. Taking another card could bring the dealer's hand closer to 21. You should **HIT** to try to improve your own hand.<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT - -Your hand is 18, and the dealer has 10. Since the dealer must hit until reaching 17+, it's likely the dealer will draw a card to get closer to 21. Taking another card could bring the dealer's hand closer to 21. 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-================================================================================ -[ROLLOUT 103] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 354, Trainable tokens: 132 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 8 - [2] assistant : HIT - -Your hand is 12, and the dealer has 8. Since the dealer must hit until reach... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 12, and the dealer has 8. Since the dealer must hit until reaching 17+, it's reasonable to **hit**. If you hit, you'll get another card. Let's assume the dealer draws a 10, making their total 18. Then the dealer will **stand** (since 18 is less than 17+). - -If your hand is closer to 21 than the dealer's final hand (18), you win. If the dealer busts, you win as well. - -Let me know your next move!<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT - -Your hand is 12, and the dealer has 8. Since the dealer must hit until reaching 17+, it's reasonable to **hit**. If you hit, you'll get another card. Let's assume the dealer draws a 10, making their total 18. Then the dealer will **stand** (since 18 is less than 17+). - -If your hand is closer to 21 than the dealer's final hand (18), you win. If the dealer busts, you win as well. - -Let me know your next move!<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=31 -[TRAINING] Step 32: Starting training - -================================================================================ -[ROLLOUT 104] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 313, Trainable tokens: 91 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 5 - [2] assistant : HIT - -Your hand is 12, and the dealer has 5. Since the dealer must hit until reach... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 12, and the dealer has 5. Since the dealer must hit until reaching 17+, it's likely the dealer will hit and eventually reach 17 or higher. Your hand is closer to 21 than the dealer's final hand (which may be higher), so it's better to **hit** to increase your total and potentially get closer to 21.<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT - -Your hand is 12, and the dealer has 5. Since the dealer must hit until reaching 17+, it's likely the dealer will hit and eventually reach 17 or higher. 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-================================================================================ -[ROLLOUT 105] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 292, Trainable tokens: 69 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : HIT -You have 16, and the dealer has 10. Since the dealer must hit until reaching ... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT -You have 16, and the dealer has 10. Since the dealer must hit until reaching 17+, it's reasonable to hit. A 16-hand is close to 17, and hitting could get you closer to 21. Let's see what happens.<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT -You have 16, and the dealer has 10. Since the dealer must hit until reaching 17+, it's reasonable to hit. A 16-hand is close to 17, and hitting could get you closer to 21. 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-================================================================================ -[ROLLOUT 106] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - 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-================================================================================ -[ROLLOUT 107] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 382, Trainable tokens: 135 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : HIT - -Your hand is 16, and the dealer has 10. Since the dealer must hit until reac... - [3] user : Hand: 20, Dealer: 10 - [4] assistant : STAND - -Your hand is 20, and the dealer has 10. Since you have already reached 21 ... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 16, and the dealer has 10. Since the dealer must hit until reaching 17+, it's advantageous to **HIT** because 16 is close to 17, and the dealer is likely to draw a card to reach 17 or higher. Let's see what happens.<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND - -Your hand is 20, and the dealer has 10. Since you have already reached 21 (which is a win), you **stand**. The dealer will continue to hit until reaching 17 or higher.<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT - -Your hand is 16, and the dealer has 10. Since the dealer must hit until reaching 17+, it's advantageous to **HIT** because 16 is close to 17, and the dealer is likely to draw a card to reach 17 or higher. Let's see what happens.<|im_end|>STAND - -Your hand is 20, and the dealer has 10. Since you have already reached 21 (which is a win), you **stand**. The dealer will continue to hit until reaching 17 or higher.<|im_end|> -================================================================================ - -[TRAINING] Step 35: Waiting for buffer to have enough data... -[BUFFER ADD] Added 16/16 episodes with policy_v=34 -[TRAINING] Step 35: Starting training - -================================================================================ -[ROLLOUT 108] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 325, Trainable tokens: 103 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 9 - [2] assistant : HIT - -Your hand is 14, and the dealer has 9. Since the dealer must hit until reach... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 14, and the dealer has 9. Since the dealer must hit until reaching 17+, and you are not yet over 21, it's reasonable to **HIT** to improve your hand. If you hit and get a 5 (e.g., 14 + 5 = 19), you're closer to 21. If you hit and go over 21, you bust and lose.<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT - -Your hand is 14, and the dealer has 9. Since the dealer must hit until reaching 17+, and you are not yet over 21, it's reasonable to **HIT** to improve your hand. If you hit and get a 5 (e.g., 14 + 5 = 19), you're closer to 21. If you hit and go over 21, you bust and lose.<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=35 -Dropping weights @ version 35 - -================================================================================ -[ROLLOUT 109] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 299, Trainable tokens: 77 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 7 - [2] assistant : HIT - -Your hand is 16, and the dealer has 7. Since the dealer must hit until reach... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 16, and the dealer has 7. Since the dealer must hit until reaching 17+, and your hand is 16 (closer to 21 than the dealer's 7), it's optimal to **hit** to increase your total and potentially reach 21 or avoid busting.<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT - -Your hand is 16, and the dealer has 7. 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-================================================================================ -[ROLLOUT 110] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 328, Trainable tokens: 106 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 4 - [2] assistant : HIT - -Your hand is 16, and the dealer has 4. Since the dealer must hit until reach... - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT - -Your hand is 16, and the dealer has 4. Since the dealer must hit until reaching 17, and your hand is close to 21 (16 is 5 away from 21), it's a good idea to **HIT** to improve your hand. If you hit, you can get closer to 21 or bust. Let's assume you hit and get a 5 (total 21), which is a win.<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT - -Your hand is 16, and the dealer has 4. Since the dealer must hit until reaching 17, and your hand is close to 21 (16 is 5 away from 21), it's a good idea to **HIT** to improve your hand. If you hit, you can get closer to 21 or bust. 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-================================================================================ -[ROLLOUT 111] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 263, Trainable tokens: 16 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 14, Dealer: 10 - [4] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=36 - -================================================================================ -[ROLLOUT 112] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=37 -Dropping weights @ version 37 - -================================================================================ -[ROLLOUT 113] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - 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-================================================================================ -[ROLLOUT 114] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=38 -Dropping weights @ version 38 - -================================================================================ -[ROLLOUT 115] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 261, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 5, Dealer: 3 - [2] assistant : HIT - [3] user : Hand: 15, Dealer: 3 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 5, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -Dropped weights @ version 38, took 0.88 seconds -WandbBackend: Logged 127 metrics at step 39 -=== [global_reduce] - METRICS STEP 39 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 16.0 - buffer/episodes_accepted: 16.0 - buffer/episodes_generated: 16.0 - buffer/evict/sum_episodes_evicted: 22.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.37209302325581395 - buffer/sample/avg_sampled_policy_age: 0.6875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0006793495267629623 - buffer_perf/sample/total_duration_max_s: 0.0006793495267629623 - episode/total_tokens: 264.34375 - episode/turns: 1.5625 - game/average_turns: 1.5625 - game/env_reward: 0.1875 - game/games_played: 32.0 - 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-================================================================================ -[ROLLOUT 116] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 229, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -Dropped weights @ version 39, took 0.85 seconds -WandbBackend: Logged 127 metrics at step 40 -=== [global_reduce] - METRICS STEP 40 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 16.0 - buffer/episodes_accepted: 16.0 - buffer/episodes_generated: 16.0 - buffer/evict/sum_episodes_evicted: 36.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.6956521739130435 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0009270273149013519 - 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-================================================================================ -[ROLLOUT 117] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=40 - -================================================================================ -[ROLLOUT 118] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=40 - -================================================================================ -[ROLLOUT 119] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=40 -Dropping weights @ version 40 - -================================================================================ -[ROLLOUT 120] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=40 -Dropped weights @ version 40, took 0.84 seconds -WandbBackend: Logged 127 metrics at step 41 -=== [global_reduce] - 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rl_trainer_perf/step/memory_peak_max_gb: 24.496023654937744 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.005858087912201881 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.005858087912201881 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.07257772330194712 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.07257772330194712 - rl_trainer_perf/step/total_duration_avg_s: 1.657567891292274 - rl_trainer_perf/step/total_duration_max_s: 1.657567891292274 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:15:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:15:38 INFO Pushing weights for policy version 42 -[ReferenceModel-0/1] 2025-11-20 09:15:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:15:39 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:15:41 INFO Completed weights push in 2.56 seconds -[Generator-0/1] 2025-11-20 09:15:41 INFO [Generator] Fetching weights for v42 to shared memory -[ReferenceModel-0/1] 2025-11-20 09:15:41 INFO [GC] Performing periodic GC collection took 0.00 seconds -INFO 11-20 09:15:43 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:15:43 INFO Weight update completed (now v42) -[TRAINING] Step 41: Starting training - -================================================================================ -[ROLLOUT 121] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=41 - -================================================================================ -[ROLLOUT 122] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=41 - -================================================================================ -[ROLLOUT 123] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 3 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=41 -Dropping weights @ version 41 -Dropped weights @ version 41, took 0.78 seconds -WandbBackend: Logged 127 metrics at step 42 -=== [global_reduce] - METRICS STEP 42 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 48.0 - buffer/episodes_accepted: 48.0 - buffer/episodes_generated: 48.0 - buffer/evict/sum_episodes_evicted: 22.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.25 - buffer/sample/avg_sampled_policy_age: 0.9375 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - 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rl_trainer_perf/push_weights/total_duration_max_s: 2.5594427175819874 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.55828869715333 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.55828869715333 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1712158564478159 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.1712158564478159 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 9.489059448242188e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.969362258911133 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0030064908787608147 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0030064908787608147 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.02568779233843088 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.02568779233843088 - rl_trainer_perf/step/total_duration_avg_s: 0.19991295412182808 - rl_trainer_perf/step/total_duration_max_s: 0.19991295412182808 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:15:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:15:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:15:44 INFO Pushing weights for policy version 43 -[ReferenceModel-0/1] 2025-11-20 09:15:45 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:15:47 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:15:47 INFO Completed weights push in 2.42 seconds -[Generator-0/1] 2025-11-20 09:15:47 INFO [Generator] Fetching weights for v43 to shared memory -INFO 11-20 09:15:49 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:15:49 INFO Weight update completed (now v43) -[TRAINING] Step 42: Starting training - -================================================================================ -[ROLLOUT 124] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=42 - -================================================================================ -[ROLLOUT 125] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 9 - [2] assistant : HIT - [3] user : Hand: 17, Dealer: 9 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=42 - -================================================================================ -[ROLLOUT 126] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 3 -Total tokens: 295, Trainable tokens: 25 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 14, Dealer: 10 - [4] assistant : HIT - [5] user : Hand: 20, Dealer: 10 - [6] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=42 -Dropping weights @ version 42 -Dropped weights @ version 42, took 0.72 seconds -WandbBackend: Logged 125 metrics at step 43 -=== [global_reduce] - 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rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0031145550310611725 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.039503755047917366 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.039503755047917366 - rl_trainer_perf/step/total_duration_avg_s: 0.21327304281294346 - rl_trainer_perf/step/total_duration_max_s: 0.21327304281294346 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:15:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:15:50 INFO Pushing weights for policy version 44 -[ReferenceModel-0/1] 2025-11-20 09:15:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:15:52 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:15:52 INFO Completed weights push in 2.33 seconds -[Generator-0/1] 2025-11-20 09:15:52 INFO [Generator] Fetching weights for v44 to shared memory -INFO 11-20 09:15:55 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:15:55 INFO Weight update completed (now v44) -[ReferenceModel-0/1] 2025-11-20 09:15:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 43: Starting training - -================================================================================ -[ROLLOUT 127] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 6 - [2] assistant : HIT - [3] user : Hand: 21, Dealer: 6 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=43 - -================================================================================ -[ROLLOUT 128] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=43 -Dropping weights @ version 43 - -================================================================================ -[ROLLOUT 129] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : HIT - [3] user : Hand: 16, Dealer: 9 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=43 -Dropped weights @ version 43, took 0.81 seconds -WandbBackend: Logged 127 metrics at step 44 -=== [global_reduce] - METRICS STEP 44 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 48.0 - buffer/episodes_accepted: 48.0 - buffer/episodes_generated: 48.0 - buffer/evict/sum_episodes_evicted: 48.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.3333333333333333 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.001026947982609272 - buffer_perf/sample/total_duration_max_s: 0.001026947982609272 - episode/total_tokens: 251.425 - episode/turns: 1.65 - game/average_turns: 1.65 - game/env_reward: 0.25 - game/games_played: 40.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.6 - generator/generate/avg_tokens_generated: 8.5 - generator/generate/count_requests: 67.0 - generator/generate/count_sequences_completed: 68.0 - generator/generate/sum_tokens_generated: 578.0 - generator/update_weights/count_weight_updates: 1.0 - 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loss_debug/policy_loss_max: 1.6769572496414185 - loss_debug/policy_loss_mean: -0.06725330650806427 - loss_debug/policy_loss_min: -0.8538709878921509 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.3477860689163208 - loss_debug/ref_logprobs_min: -11.50001049041748 - loss_debug/ref_logprobs_std: 1.4319106340408325 - loss_debug/seq_len: 296.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 3.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 2.9031201287483177 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.80970043502748 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.05553801171481609 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.05755317956209183 - main_perf/continuous_rollouts/total_duration_avg_s: 3.0003098469848433 - main_perf/continuous_rollouts/total_duration_max_s: 3.9078005012124777 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.810809874907136 - 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reference_perf/forward/compute_logprobs/duration_max_s: 0.02643935289233923 - reference_perf/forward/count_forward_passes: 3.0 - reference_perf/forward/forward/duration_avg_s: 0.015699696416656177 - reference_perf/forward/forward/duration_max_s: 0.01640274655073881 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00041331381847461063 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004185047000646591 - reference_perf/forward/memory_delta_end_start_avg_gb: 1.2815039952596028 - reference_perf/forward/memory_peak_max_gb: 11.778019905090332 - reference_perf/forward/to_device/duration_avg_s: 0.00015504503001769385 - reference_perf/forward/to_device/duration_max_s: 0.00015773996710777283 - reference_perf/forward/total_duration_avg_s: 0.04055419812599818 - reference_perf/forward/total_duration_max_s: 0.04261635709553957 - rl_trainer/avg_loss: 0.048721183091402054 - rl_trainer/learning_rate: 9.57957957957958e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005898140370845795 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005898140370845795 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.00053402129560709 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.00053402129560709 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.326271274127066 - rl_trainer_perf/push_weights/total_duration_max_s: 2.326271274127066 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.325145285576582 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.325145285576582 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.17182819545269012 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.17182819545269012 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 0.00010633468627929688 - rl_trainer_perf/step/memory_peak_max_gb: 18.763476848602295 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0031130528077483177 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0031130528077483177 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.04008889198303223 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.04008889198303223 - rl_trainer_perf/step/total_duration_avg_s: 0.21503229346126318 - rl_trainer_perf/step/total_duration_max_s: 0.21503229346126318 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:15:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:15:57 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:15:57 INFO Pushing weights for policy version 45 -[ReferenceModel-0/1] 2025-11-20 09:15:58 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:16:00 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:16:00 INFO Completed weights push in 2.50 seconds -[Generator-0/1] 2025-11-20 09:16:00 INFO [Generator] Fetching weights for v45 to shared memory -INFO 11-20 09:16:03 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:16:03 INFO Weight update completed (now v45) -[TRAINING] Step 44: Starting training - -================================================================================ -[ROLLOUT 130] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : HIT - [3] user : Hand: 15, Dealer: 9 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=44 - -================================================================================ -[ROLLOUT 131] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 260, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: Ace - [2] assistant : HIT - [3] user : Hand: 17, Dealer: Ace - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 17, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=44 - -================================================================================ -[ROLLOUT 132] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=44 -Dropping weights @ version 44 -Dropped weights @ version 44, took 0.74 seconds -WandbBackend: Logged 127 metrics at step 45 -=== [global_reduce] - 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-================================================================================ -[ROLLOUT 133] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=44 - -================================================================================ -[ROLLOUT 134] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 261, Trainable tokens: 16 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 3 - [2] assistant : HIT - [3] user : Hand: 13, Dealer: 3 - [4] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=45 -Dropping weights @ version 45 - -================================================================================ -[ROLLOUT 135] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 229, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - 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-================================================================================ -[ROLLOUT 136] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 9 - [2] assistant : HIT - [3] user : Hand: 16, Dealer: 9 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=46 - -================================================================================ -[ROLLOUT 137] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 9 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=46 - -================================================================================ -[ROLLOUT 138] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=46 -Dropping weights @ version 46 - -================================================================================ -[ROLLOUT 139] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -Dropped weights @ version 46, took 0.89 seconds -WandbBackend: Logged 127 metrics at step 47 -=== [global_reduce] - METRICS STEP 47 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 56.0 - buffer/episodes_accepted: 48.0 - buffer/episodes_generated: 48.0 - buffer/evict/sum_episodes_evicted: 55.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.3404255319148936 - buffer/sample/avg_sampled_policy_age: 0.9375 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0011272300034761429 - buffer_perf/sample/total_duration_max_s: 0.0011272300034761429 - episode/total_tokens: 251.11666666666667 - 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rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.401031189598143 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.401031189598143 - rl_trainer_perf/step/forward_backward/duration_avg_s: 1.5521152997389436 - rl_trainer_perf/step/forward_backward/duration_max_s: 1.5521152997389436 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 0.00011777877807617188 - rl_trainer_perf/step/memory_peak_max_gb: 19.557591438293457 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003227386623620987 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003227386623620987 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.039108303375542164 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.039108303375542164 - rl_trainer_perf/step/total_duration_avg_s: 1.594454376026988 - rl_trainer_perf/step/total_duration_max_s: 1.594454376026988 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:16:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:16:17 INFO Pushing weights for policy version 48 -[ReferenceModel-0/1] 2025-11-20 09:16:18 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:16:19 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:16:20 INFO Completed weights push in 2.43 seconds -[Generator-0/1] 2025-11-20 09:16:20 INFO [Generator] Fetching weights for v48 to shared memory -INFO 11-20 09:16:22 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:16:22 INFO Weight update completed (now v48) -[TRAINING] Step 47: Starting training -[BUFFER ADD] Added 16/16 episodes with policy_v=46 - -================================================================================ -[ROLLOUT 140] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 8 - [2] assistant : HIT - [3] user : Hand: 18, Dealer: 8 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=47 - -================================================================================ -[ROLLOUT 141] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 2 - [2] assistant : HIT - [3] user : Hand: 21, Dealer: 2 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=47 -Dropping weights @ version 47 -Dropped weights @ version 47, took 0.82 seconds -WandbBackend: Logged 127 metrics at step 48 -=== [global_reduce] - METRICS STEP 48 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 40.0 - buffer/episodes_accepted: 48.0 - buffer/episodes_generated: 48.0 - buffer/evict/sum_episodes_evicted: 42.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.25 - buffer/sample/avg_sampled_policy_age: 0.8125 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - 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-[TitanTrainer-0/1] 2025-11-20 09:16:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:16:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:16:23 INFO Pushing weights for policy version 49 -[ReferenceModel-0/1] 2025-11-20 09:16:25 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:16:26 INFO Completed weights push in 2.61 seconds -[Generator-0/1] 2025-11-20 09:16:26 INFO [Generator] Fetching weights for v49 to shared memory -[ReferenceModel-0/1] 2025-11-20 09:16:26 INFO [GC] Performing periodic GC collection took 0.00 seconds -INFO 11-20 09:16:28 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:16:28 INFO Weight update completed (now v49) -[TRAINING] Step 48: Starting training - -================================================================================ -[ROLLOUT 142] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=47 - -================================================================================ -[ROLLOUT 143] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=48 - -================================================================================ -[ROLLOUT 144] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 261, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 5, Dealer: 7 - [2] assistant : HIT - [3] user : Hand: 15, Dealer: 7 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 5, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=48 -Dropping weights @ version 48 -Dropped weights @ version 48, took 0.84 seconds -WandbBackend: Logged 127 metrics at step 49 -=== [global_reduce] - METRICS STEP 49 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 48.0 - buffer/episodes_accepted: 48.0 - buffer/episodes_generated: 48.0 - buffer/evict/sum_episodes_evicted: 60.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.3902439024390244 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - 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-[TitanTrainer-0/1] 2025-11-20 09:16:29 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:16:30 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:16:31 INFO Pushing weights for policy version 50 -[ReferenceModel-0/1] 2025-11-20 09:16:31 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:16:32 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:16:33 INFO Completed weights push in 2.38 seconds -[Generator-0/1] 2025-11-20 09:16:33 INFO [Generator] Fetching weights for v50 to shared memory -INFO 11-20 09:16:36 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:16:36 INFO Weight update completed (now v50) -[ReferenceModel-0/1] 2025-11-20 09:16:36 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 49: Starting training - -================================================================================ -[ROLLOUT 145] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=49 - -================================================================================ -[ROLLOUT 146] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 261, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 6 - [2] assistant : HIT - [3] user : Hand: 18, Dealer: 6 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=49 - -================================================================================ -[ROLLOUT 147] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=49 -Dropping weights @ version 49 - -================================================================================ -[ROLLOUT 148] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 6 - [2] assistant : HIT - [3] user : Hand: 17, Dealer: 6 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=49 -Dropped weights @ version 49, took 0.82 seconds -WandbBackend: Logged 127 metrics at step 50 -=== [global_reduce] - METRICS STEP 50 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 42.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.3404255319148936 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0010018199682235718 - buffer_perf/sample/total_duration_max_s: 0.0010018199682235718 - episode/total_tokens: 249.29508196721312 - episode/turns: 1.5901639344262295 - game/average_turns: 1.5901639344262295 - 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generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5605334220454097 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5605334220454097 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7952096164226532 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7952096164226532 - groups/rate_dropped: 0.0 - loss_debug/advantages_max: 1.6769572496414185 - loss_debug/advantages_mean: -0.07486142218112946 - loss_debug/advantages_min: -1.0978341102600098 - loss_debug/advantages_std: 0.9993404746055603 - loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.018924523144960403 - loss_debug/final_loss: 0.09382425248622894 - loss_debug/kl_max: 5.252355098724365 - loss_debug/kl_mean: 0.18924523890018463 - loss_debug/kl_min: -5.960464477539063e-08 - loss_debug/kl_std: 0.8315784931182861 - loss_debug/logprob_diff_max: 0.6912215352058411 - loss_debug/logprob_diff_mean: -0.25749239325523376 - 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reference_perf/forward/to_device/duration_max_s: 0.00015769898891448975 - reference_perf/forward/total_duration_avg_s: 0.037637117551639676 - reference_perf/forward/total_duration_max_s: 0.037740278989076614 - rl_trainer/avg_loss: 0.09382425248622894 - rl_trainer/learning_rate: 9.51951951951952e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.000642695464193821 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.000642695464193821 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005314061418175697 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005314061418175697 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.376078271307051 - rl_trainer_perf/push_weights/total_duration_max_s: 2.376078271307051 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.3749016355723143 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.3749016355723143 - rl_trainer_perf/step/forward_backward/duration_avg_s: 1.5596767216920853 - rl_trainer_perf/step/forward_backward/duration_max_s: 1.5596767216920853 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 9.489059448242188e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.89491844177246 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0028524985536932945 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0028524985536932945 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.020355812273919582 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.020355812273919582 - rl_trainer_perf/step/total_duration_avg_s: 1.5828873571008444 - rl_trainer_perf/step/total_duration_max_s: 1.5828873571008444 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:16:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:16:37 INFO Pushing weights for policy version 51 -[ReferenceModel-0/1] 2025-11-20 09:16:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:16:39 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:16:39 INFO Completed weights push in 2.40 seconds -[Generator-0/1] 2025-11-20 09:16:39 INFO [Generator] Fetching weights for v51 to shared memory -INFO 11-20 09:16:42 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:16:42 INFO Weight update completed (now v51) -[ReferenceModel-0/1] 2025-11-20 09:16:42 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 50: Starting training - -================================================================================ -[ROLLOUT 149] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=50 - -================================================================================ -[ROLLOUT 150] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 2 -Total tokens: 264, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 21, Dealer: 10 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=50 -Dropping weights @ version 50 - -================================================================================ -[ROLLOUT 151] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=50 -Dropped weights @ version 50, took 0.85 seconds -WandbBackend: Logged 127 metrics at step 51 -=== [global_reduce] - METRICS STEP 51 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 48.0 - buffer/episodes_accepted: 48.0 - buffer/episodes_generated: 48.0 - buffer/evict/sum_episodes_evicted: 47.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.25 - buffer/sample/avg_sampled_policy_age: 0.9375 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.001049683429300785 - buffer_perf/sample/total_duration_max_s: 0.001049683429300785 - episode/total_tokens: 247.47727272727272 - episode/turns: 1.5227272727272727 - game/average_turns: 1.5227272727272727 - game/env_reward: -0.09090909090909091 - game/games_played: 44.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.3409090909090909 - generator/generate/avg_tokens_generated: 8.441176470588236 - generator/generate/count_requests: 68.0 - generator/generate/count_sequences_completed: 68.0 - generator/generate/sum_tokens_generated: 574.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.60223557241261 - generator_perf/_fetch_weights/total_duration_max_s: 1.60223557241261 - generator_perf/generate/generate/duration_avg_s: 0.07674658315321979 - 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-================================================================================ -[ROLLOUT 152] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=51 - -================================================================================ -[ROLLOUT 153] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=51 - -================================================================================ -[ROLLOUT 154] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=51 -Dropping weights @ version 51 -Dropped weights @ version 51, took 0.79 seconds -WandbBackend: Logged 127 metrics at step 52 -=== [global_reduce] - METRICS STEP 52 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 48.0 - buffer/episodes_accepted: 48.0 - buffer/episodes_generated: 48.0 - buffer/evict/sum_episodes_evicted: 61.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.3137254901960784 - buffer/sample/avg_sampled_policy_age: 0.8125 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - 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rl_trainer_perf/step/total_duration_max_s: 1.6392448712140322 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:16:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:16:51 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:16:52 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:16:52 INFO Pushing weights for policy version 53 -[ReferenceModel-0/1] 2025-11-20 09:16:54 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:16:55 INFO Completed weights push in 2.30 seconds -[Generator-0/1] 2025-11-20 09:16:55 INFO [Generator] Fetching weights for v53 to shared memory -INFO 11-20 09:16:57 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:16:57 INFO Weight update completed (now v53) -[ReferenceModel-0/1] 2025-11-20 09:16:57 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 52: Starting training - -================================================================================ -[ROLLOUT 155] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 262, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 9 - [2] assistant : HIT - [3] user : Hand: 13, Dealer: 9 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=52 - -================================================================================ -[ROLLOUT 156] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 5 - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=52 - -================================================================================ -[ROLLOUT 157] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=52 -Dropping weights @ version 52 - -================================================================================ -[ROLLOUT 158] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=52 -Dropped weights @ version 52, took 0.90 seconds -WandbBackend: Logged 127 metrics at step 53 -=== [global_reduce] - METRICS STEP 53 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 48.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.3137254901960784 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0010550301522016525 - buffer_perf/sample/total_duration_max_s: 0.0010550301522016525 - 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reference_perf/forward/to_device/duration_avg_s: 0.00011706259101629257 - reference_perf/forward/to_device/duration_max_s: 0.00013145897537469864 - reference_perf/forward/total_duration_avg_s: 0.04287473135627806 - reference_perf/forward/total_duration_max_s: 0.0429828530177474 - rl_trainer/avg_loss: -0.026194199919700623 - rl_trainer/learning_rate: 9.489489489489491e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0007042083889245987 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0007042083889245987 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005359333008527756 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005359333008527756 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.29724879283458 - rl_trainer_perf/push_weights/total_duration_max_s: 2.29724879283458 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.2960059866309166 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.2960059866309166 - rl_trainer_perf/step/forward_backward/duration_avg_s: 1.7894673962146044 - rl_trainer_perf/step/forward_backward/duration_max_s: 1.7894673962146044 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 0.00011491775512695312 - rl_trainer_perf/step/memory_peak_max_gb: 19.359057426452637 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003031027503311634 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003031027503311634 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.037764646112918854 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.037764646112918854 - rl_trainer_perf/step/total_duration_avg_s: 1.8302659038454294 - rl_trainer_perf/step/total_duration_max_s: 1.8302659038454294 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:16:58 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:16:58 INFO Pushing weights for policy version 54 -[ReferenceModel-0/1] 2025-11-20 09:16:59 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:17:00 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:17:01 INFO Completed weights push in 2.45 seconds -[Generator-0/1] 2025-11-20 09:17:01 INFO [Generator] Fetching weights for v54 to shared memory -INFO 11-20 09:17:03 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:17:03 INFO Weight update completed (now v54) -[ReferenceModel-0/1] 2025-11-20 09:17:04 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 53: Starting training - -================================================================================ -[ROLLOUT 159] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 261, Trainable tokens: 16 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 6 - [2] assistant : HIT - [3] user : Hand: 12, Dealer: 6 - [4] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=53 - -================================================================================ -[ROLLOUT 160] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 229, Trainable tokens: 8 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: Ace - [2] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=53 -Dropping weights @ version 53 - -================================================================================ -[ROLLOUT 161] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 3 -Total tokens: 292, Trainable tokens: 25 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 4 - [2] assistant : HIT - [3] user : Hand: 16, Dealer: 4 - [4] assistant : HIT - [5] user : Hand: 19, Dealer: 4 - [6] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=53 -Dropped weights @ version 53, took 0.77 seconds -WandbBackend: Logged 127 metrics at step 54 -=== [global_reduce] - METRICS STEP 54 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 48.0 - buffer/episodes_accepted: 48.0 - buffer/episodes_generated: 48.0 - buffer/evict/sum_episodes_evicted: 51.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.25 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0010823719203472137 - buffer_perf/sample/total_duration_max_s: 0.0010823719203472137 - episode/total_tokens: 253.12820512820514 - episode/turns: 1.7179487179487178 - game/average_turns: 1.7179487179487178 - game/env_reward: -0.10256410256410256 - game/games_played: 39.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.41025641025641024 - 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-================================================================================ -[ROLLOUT 162] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 261, Trainable tokens: 17 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 3 - [2] assistant : HIT - [3] user : Hand: 17, Dealer: 3 - [4] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=54 - -================================================================================ -[ROLLOUT 163] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=54 -Dropping weights @ version 54 -Dropped weights @ version 54, took 0.84 seconds -WandbBackend: Logged 127 metrics at step 55 -=== [global_reduce] - METRICS STEP 55 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 32.0 - buffer/episodes_accepted: 32.0 - buffer/episodes_generated: 32.0 - buffer/evict/sum_episodes_evicted: 62.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.32 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0010860171169042587 - buffer_perf/sample/total_duration_max_s: 0.0010860171169042587 - 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-================================================================================ -[ROLLOUT 164] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 3 -Total tokens: 292, Trainable tokens: 24 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 7 - [2] assistant : HIT - [3] user : Hand: 12, Dealer: 7 - [4] assistant : HIT - [5] user : Hand: 14, Dealer: 7 - [6] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>HIT<|im_end|>HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=54 - -================================================================================ -[ROLLOUT 165] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=55 -Dropping weights @ version 55 - -================================================================================ -[ROLLOUT 166] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 3 -Total tokens: 296, Trainable tokens: 25 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 15, Dealer: 10 - [4] assistant : HIT - [5] user : Hand: 17, Dealer: 10 - [6] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - 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rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.620050471276045 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1719573112204671 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.1719573112204671 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 0.00011682510375976562 - rl_trainer_perf/step/memory_peak_max_gb: 19.43351697921753 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0027994466945528984 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0027994466945528984 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.04456853773444891 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.04456853773444891 - rl_trainer_perf/step/total_duration_avg_s: 0.21932744979858398 - rl_trainer_perf/step/total_duration_max_s: 0.21932744979858398 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:17:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:17:17 INFO Pushing weights for policy version 57 -[ReferenceModel-0/1] 2025-11-20 09:17:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:17:18 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:17:19 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:17:19 INFO Completed weights push in 2.58 seconds -[Generator-0/1] 2025-11-20 09:17:19 INFO [Generator] Fetching weights for v57 to shared memory -INFO 11-20 09:17:22 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:17:22 INFO Weight update completed (now v57) -[ReferenceModel-0/1] 2025-11-20 09:17:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 56: Starting training - -================================================================================ -[ROLLOUT 167] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=56 - -================================================================================ -[ROLLOUT 168] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 4 -Total tokens: 328, Trainable tokens: 33 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 10 - [2] assistant : HIT - [3] user : Hand: 14, Dealer: 10 - [4] assistant : HIT - [5] user : Hand: 15, Dealer: 10 - [6] assistant : HIT - [7] user : Hand: 19, Dealer: 10 - [8] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>HIT<|im_end|>HIT<|im_end|>STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=56 - -================================================================================ -[ROLLOUT 169] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 6 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=56 -Dropping weights @ version 56 - -================================================================================ -[ROLLOUT 170] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - 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-================================================================================ -[ROLLOUT 171] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 2 -Total tokens: 260, Trainable tokens: 16 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 6 - [2] assistant : HIT - [3] user : Hand: 15, Dealer: 6 - [4] assistant : HIT - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -HIT<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -HIT<|im_end|>HIT<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=57 - -================================================================================ -[ROLLOUT 172] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=57 -Dropping weights @ version 57 - -================================================================================ -[ROLLOUT 173] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -Dropped weights @ version 57, took 0.82 seconds -WandbBackend: Logged 125 metrics at step 58 -=== [global_reduce] - METRICS STEP 58 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 48.0 - buffer/episodes_accepted: 48.0 - buffer/episodes_generated: 48.0 - buffer/evict/sum_episodes_evicted: 46.0 - buffer/rate_rejected_truncated: 0.0 - 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loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.05696364864706993 - loss_debug/final_loss: -0.0853947252035141 - loss_debug/kl_max: 10.0 - loss_debug/kl_mean: 0.5696364641189575 - loss_debug/kl_min: -5.960464477539063e-08 - loss_debug/kl_std: 1.8299024105072021 - loss_debug/logprob_diff_max: 7.026254653930664 - loss_debug/logprob_diff_mean: -0.3696507215499878 - loss_debug/logprob_diff_min: -7.500550270080566 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -0.21203096210956573 - loss_debug/logprobs_min: -15.25 - loss_debug/logprobs_std: 1.5454154014587402 - loss_debug/num_trainable_tokens: 167.0 - loss_debug/per_token_loss_max: 1.8538709878921509 - loss_debug/per_token_loss_mean: 0.05460943654179573 - loss_debug/per_token_loss_min: -2.015439510345459 - loss_debug/policy_loss_max: 2.015439510345459 - loss_debug/policy_loss_mean: 0.0023542337585240602 - loss_debug/policy_loss_min: -0.8538709878921509 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.5816816091537476 - 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rl_trainer_perf/step/total_duration_max_s: 0.19590444955974817 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:17:29 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:17:31 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:17:31 INFO Pushing weights for policy version 59 -[ReferenceModel-0/1] 2025-11-20 09:17:32 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:17:32 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:17:33 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:17:34 INFO Completed weights push in 3.03 seconds -[Generator-0/1] 2025-11-20 09:17:34 INFO [Generator] Fetching weights for v59 to shared memory -INFO 11-20 09:17:37 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:17:37 INFO Weight update completed (now v59) -[TRAINING] Step 58: Starting training -[BUFFER ADD] Added 16/16 episodes with policy_v=57 - -================================================================================ -[ROLLOUT 174] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=58 - -================================================================================ -[ROLLOUT 175] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=58 - -================================================================================ -[ROLLOUT 176] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=58 - -================================================================================ -[ROLLOUT 177] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=58 -Dropping weights @ version 58 - -================================================================================ -[ROLLOUT 178] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:17:37 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[BUFFER ADD] Added 16/16 episodes with policy_v=58 -Dropped weights @ version 58, took 0.90 seconds -WandbBackend: Logged 127 metrics at step 59 -=== [global_reduce] - METRICS STEP 59 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 96.0 - buffer/episodes_accepted: 96.0 - buffer/episodes_generated: 96.0 - buffer/evict/sum_episodes_evicted: 50.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.3404255319148936 - buffer/sample/avg_sampled_policy_age: 1.0 - 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rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005192877724766731 - rl_trainer_perf/push_weights/total_duration_avg_s: 3.0329018691554666 - rl_trainer_perf/push_weights/total_duration_max_s: 3.0329018691554666 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 3.031756312586367 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 3.031756312586367 - rl_trainer_perf/step/forward_backward/duration_avg_s: 1.5483705271035433 - rl_trainer_perf/step/forward_backward/duration_max_s: 1.5483705271035433 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 0.00010538101196289062 - rl_trainer_perf/step/memory_peak_max_gb: 18.639402389526367 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0029600318521261215 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0029600318521261215 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.028995242901146412 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.028995242901146412 - rl_trainer_perf/step/total_duration_avg_s: 1.5803290167823434 - rl_trainer_perf/step/total_duration_max_s: 1.5803290167823434 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:17:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:17:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:17:39 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:17:39 INFO Pushing weights for policy version 60 -[ReferenceModel-0/1] 2025-11-20 09:17:40 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:17:41 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:17:41 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 59: Starting training - -================================================================================ -[ROLLOUT 179] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=59 - -================================================================================ -[ROLLOUT 180] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=59 - -================================================================================ -[ROLLOUT 181] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=59 - -================================================================================ -[ROLLOUT 182] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=59 - -================================================================================ -[ROLLOUT 183] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=59[TitanTrainer-0/1] 2025-11-20 09:17:42 INFO Completed weights push in 2.92 seconds -[Generator-0/1] 2025-11-20 09:17:42 INFO [Generator] Fetching weights for v60 to shared memory -INFO 11-20 09:17:45 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:17:45 INFO Weight update completed (now v60) -[ReferenceModel-0/1] 2025-11-20 09:17:45 INFO [GC] Performing periodic GC collection took 0.00 seconds - -Dropping weights @ version 59 - -================================================================================ -[ROLLOUT 184] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 9 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=59 -Dropped weights @ version 59, took 0.79 seconds -WandbBackend: Logged 127 metrics at step 60 -=== [global_reduce] - METRICS STEP 60 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 96.0 - buffer/episodes_accepted: 96.0 - buffer/episodes_generated: 96.0 - buffer/evict/sum_episodes_evicted: 48.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.16842105263157894 - buffer/sample/avg_sampled_policy_age: 0.9375 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0010541202500462532 - buffer_perf/sample/total_duration_max_s: 0.0010541202500462532 - 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-================================================================================ -[ROLLOUT 185] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=60 - -================================================================================ -[ROLLOUT 186] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 6, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 6, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=60 - -================================================================================ -[ROLLOUT 187] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=60 - -================================================================================ -[ROLLOUT 188] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=60 - -================================================================================ -[ROLLOUT 189] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=60[TitanTrainer-0/1] 2025-11-20 09:17:50 INFO Completed weights push in 2.75 seconds -[Generator-0/1] 2025-11-20 09:17:50 INFO [Generator] Fetching weights for v61 to shared memory -INFO 11-20 09:17:52 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:17:52 INFO Weight update completed (now v61) -[ReferenceModel-0/1] 2025-11-20 09:17:53 INFO [GC] Performing periodic GC collection took 0.00 seconds - -Dropping weights @ version 60 - -================================================================================ -[ROLLOUT 190] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 5<|im_end|> -<|im_start|>assistant - 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rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.7454937882721424 - rl_trainer_perf/step/forward_backward/duration_avg_s: 1.5492918575182557 - rl_trainer_perf/step/forward_backward/duration_max_s: 1.5492918575182557 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0027671977877616882 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0027671977877616882 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018160012550652027 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018160012550652027 - rl_trainer_perf/step/total_duration_avg_s: 1.5702215824276209 - rl_trainer_perf/step/total_duration_max_s: 1.5702215824276209 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:17:53 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:17:53 INFO Pushing weights for policy version 62 -[ReferenceModel-0/1] 2025-11-20 09:17:54 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:17:55 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:17:55 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:17:56 INFO Completed weights push in 2.72 seconds -[Generator-0/1] 2025-11-20 09:17:56 INFO [Generator] Fetching weights for v62 to shared memory -INFO 11-20 09:17:59 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:17:59 INFO Weight update completed (now v62) -[ReferenceModel-0/1] 2025-11-20 09:17:59 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 61: Starting training - -================================================================================ -[ROLLOUT 191] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 6 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=61 - -================================================================================ -[ROLLOUT 192] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=61 - -================================================================================ -[ROLLOUT 193] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=61 -Dropping weights @ version 61 - -================================================================================ -[ROLLOUT 194] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=61 -Dropped weights @ version 61, took 0.94 seconds -WandbBackend: Logged 127 metrics at step 62 -=== [global_reduce] - METRICS STEP 62 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 97.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.16 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0015565725043416023 - buffer_perf/sample/total_duration_max_s: 0.0015565725043416023 - episode/total_tokens: 231.11267605633802 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.1267605633802817 - game/games_played: 71.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.39436619718309857 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 71.0 - generator/generate/count_sequences_completed: 71.0 - generator/generate/sum_tokens_generated: 639.0 - 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generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7896993281319737 - groups/rate_dropped: 0.0 - loss_debug/advantages_max: 1.2499375343322754 - loss_debug/advantages_mean: -0.5426768064498901 - loss_debug/advantages_min: -0.9681990146636963 - loss_debug/advantages_std: 0.4934017062187195 - loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.06235151365399361 - loss_debug/final_loss: 0.6050283312797546 - loss_debug/kl_max: 6.251419544219971 - loss_debug/kl_mean: 0.6235151290893555 - loss_debug/kl_min: -5.960464477539063e-08 - loss_debug/kl_std: 1.6172503232955933 - loss_debug/logprob_diff_max: 7.86774035077542e-06 - loss_debug/logprob_diff_mean: -0.8126128315925598 - loss_debug/logprob_diff_min: -7.2507100105285645 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -1.1697344461936154e-06 - loss_debug/logprobs_min: -1.8358061424805783e-05 - loss_debug/logprobs_std: 3.4949675864481833e-06 - loss_debug/num_trainable_tokens: 144.0 - loss_debug/per_token_loss_max: 1.5683813095092773 - loss_debug/per_token_loss_mean: 0.6050283908843994 - loss_debug/per_token_loss_min: -1.2499375343322754 - loss_debug/policy_loss_max: 1.2499375343322754 - loss_debug/policy_loss_mean: -0.5426768064498901 - loss_debug/policy_loss_min: -0.9681990146636963 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.8126139640808105 - loss_debug/ref_logprobs_min: -7.2507100105285645 - loss_debug/ref_logprobs_std: 1.9309123754501343 - loss_debug/seq_len: 232.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 4.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.421844395576045 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.3226633416488767 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.048227980034425855 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.04976711794734001 - main_perf/continuous_rollouts/total_duration_avg_s: 1.5124540403485298 - main_perf/continuous_rollouts/total_duration_max_s: 3.4200961887836456 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.94217240344733 - main_perf/continuous_training/drop_weights/duration_max_s: 0.94217240344733 - main_perf/continuous_training/push_weights/duration_avg_s: 2.7247883742675185 - main_perf/continuous_training/push_weights/duration_max_s: 2.7247883742675185 - main_perf/continuous_training/total_duration_avg_s: 6.416807630099356 - main_perf/continuous_training/total_duration_max_s: 6.416807630099356 - main_perf/continuous_training/train_step/duration_avg_s: 0.20090644899755716 - main_perf/continuous_training/train_step/duration_max_s: 0.20090644899755716 - main_perf/continuous_training/update_weights/duration_avg_s: 2.544812991283834 - main_perf/continuous_training/update_weights/duration_max_s: 2.544812991283834 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0041247280314564705 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0041247280314564705 - reference_perf/forward/avg_sequence_length: 232.0 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.018169757444411516 - reference_perf/forward/compute_logprobs/duration_max_s: 0.018500749953091145 - reference_perf/forward/count_forward_passes: 4.0 - reference_perf/forward/forward/duration_avg_s: 0.015690000262111425 - reference_perf/forward/forward/duration_max_s: 0.01623530313372612 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00040353182703256607 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004114042967557907 - reference_perf/forward/memory_delta_end_start_avg_gb: 1.0505619049072266 - reference_perf/forward/memory_peak_max_gb: 10.120736122131348 - reference_perf/forward/to_device/duration_avg_s: 0.00014932919293642044 - reference_perf/forward/to_device/duration_max_s: 0.00015107914805412292 - reference_perf/forward/total_duration_avg_s: 0.03441488975659013 - reference_perf/forward/total_duration_max_s: 0.034435445442795753 - rl_trainer/avg_loss: 0.6050283312797546 - rl_trainer/learning_rate: 9.3993993993994e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006423154845833778 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006423154845833778 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005582571029663086 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005582571029663086 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.7229984886944294 - rl_trainer_perf/push_weights/total_duration_max_s: 2.7229984886944294 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.7217958522960544 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.7217958522960544 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.17438912577927113 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.17438912577927113 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0030103279277682304 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0030103279277682304 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.0200901310890913 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.0200901310890913 - rl_trainer_perf/step/total_duration_avg_s: 0.19749197736382484 - rl_trainer_perf/step/total_duration_max_s: 0.19749197736382484 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:18:00 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:00 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:18:00 INFO Pushing weights for policy version 63 -[ReferenceModel-0/1] 2025-11-20 09:18:01 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:18:03 INFO Completed weights push in 2.84 seconds -[Generator-0/1] 2025-11-20 09:18:03 INFO [Generator] Fetching weights for v63 to shared memory -INFO 11-20 09:18:05 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:18:05 INFO Weight update completed (now v63) -[TRAINING] Step 62: Starting training - -================================================================================ -[ROLLOUT 195] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=62 - -================================================================================ -[ROLLOUT 196] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=62 - -================================================================================ -[ROLLOUT 197] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=62 - -================================================================================ -[ROLLOUT 198] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=62 -Dropping weights @ version 62 - -================================================================================ -[ROLLOUT 199] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:18:06 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[BUFFER ADD] Added 16/16 episodes with policy_v=62 -Dropped weights @ version 62, took 0.95 seconds -WandbBackend: Logged 127 metrics at step 63 -=== [global_reduce] - METRICS STEP 63 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 80.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 92.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.2222222222222222 - buffer/sample/avg_sampled_policy_age: 1.0 - 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reference_perf/forward/garbage_collection/duration_avg_s: 0.00042556542903184893 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004983656108379364 - reference_perf/forward/memory_delta_end_start_avg_gb: 1.0505619049072266 - reference_perf/forward/memory_peak_max_gb: 10.120736122131348 - reference_perf/forward/to_device/duration_avg_s: 0.0001537613570690155 - reference_perf/forward/to_device/duration_max_s: 0.00016889721155166626 - reference_perf/forward/total_duration_avg_s: 0.034458400867879393 - reference_perf/forward/total_duration_max_s: 0.034754290245473385 - rl_trainer/avg_loss: 0.2075582891702652 - rl_trainer/learning_rate: 9.389389389389391e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006070807576179504 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006070807576179504 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005405601114034653 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005405601114034653 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.8390589067712426 - rl_trainer_perf/push_weights/total_duration_max_s: 2.8390589067712426 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.837909484282136 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.837909484282136 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1691663721576333 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.1691663721576333 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003233475610613823 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003233475610613823 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.019476620480418205 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.019476620480418205 - rl_trainer_perf/step/total_duration_avg_s: 0.19187871180474758 - rl_trainer_perf/step/total_duration_max_s: 0.19187871180474758 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:18:06 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:18:06 INFO Pushing weights for policy version 64 -[ReferenceModel-0/1] 2025-11-20 09:18:07 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:08 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:09 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:18:09 INFO Completed weights push in 2.80 seconds -[Generator-0/1] 2025-11-20 09:18:09 INFO [Generator] Fetching weights for v64 to shared memory -INFO 11-20 09:18:12 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:18:12 INFO Weight update completed (now v64) -[ReferenceModel-0/1] 2025-11-20 09:18:12 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 63: Starting training - -================================================================================ -[ROLLOUT 200] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=63 - -================================================================================ -[ROLLOUT 201] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 9 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=63 - -================================================================================ -[ROLLOUT 202] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=63 -Dropping weights @ version 63 - -================================================================================ -[ROLLOUT 203] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 5, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 5, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=63 -Dropped weights @ version 63, took 0.84 seconds -WandbBackend: Logged 127 metrics at step 64 -=== [global_reduce] - METRICS STEP 64 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 69.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.1927710843373494 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0012748437002301216 - buffer_perf/sample/total_duration_max_s: 0.0012748437002301216 - episode/total_tokens: 231.07575757575756 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.12121212121212122 - game/games_played: 66.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.42424242424242425 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 66.0 - generator/generate/count_sequences_completed: 66.0 - generator/generate/sum_tokens_generated: 594.0 - 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rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003168506547808647 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003168506547808647 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.020673616789281368 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.020673616789281368 - rl_trainer_perf/step/total_duration_avg_s: 0.19287104811519384 - rl_trainer_perf/step/total_duration_max_s: 0.19287104811519384 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:18:13 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:18:13 INFO Pushing weights for policy version 65 -[ReferenceModel-0/1] 2025-11-20 09:18:13 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:16 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:18:16 INFO Completed weights push in 2.83 seconds -[Generator-0/1] 2025-11-20 09:18:16 INFO [Generator] Fetching weights for v65 to shared memory -INFO 11-20 09:18:18 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:18:18 INFO Weight update completed (now v65) -[ReferenceModel-0/1] 2025-11-20 09:18:19 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 64: Starting training - -================================================================================ -[ROLLOUT 204] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=64 - -================================================================================ -[ROLLOUT 205] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 6 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=64 - -================================================================================ -[ROLLOUT 206] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=64 -Dropping weights @ version 64 - -================================================================================ -[ROLLOUT 207] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=64 -Dropped weights @ version 64, took 0.91 seconds -WandbBackend: Logged 127 metrics at step 65 -=== [global_reduce] - METRICS STEP 65 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 72.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.21333333333333335 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0013203239068388939 - buffer_perf/sample/total_duration_max_s: 0.0013203239068388939 - episode/total_tokens: 231.08064516129033 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.1774193548387097 - game/games_played: 62.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.3870967741935484 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 62.0 - generator/generate/count_sequences_completed: 62.0 - generator/generate/sum_tokens_generated: 558.0 - 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generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.6990077691152692 - groups/rate_dropped: 0.0 - loss_debug/advantages_max: 1.2499375343322754 - loss_debug/advantages_mean: -0.09034807235002518 - loss_debug/advantages_min: -1.0978341102600098 - loss_debug/advantages_std: 0.9611515998840332 - loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.04978247731924057 - loss_debug/final_loss: 0.14013053476810455 - loss_debug/kl_max: 6.501105785369873 - loss_debug/kl_mean: 0.4978247880935669 - loss_debug/kl_min: 0.0 - loss_debug/kl_std: 1.4161756038665771 - loss_debug/logprob_diff_max: 3.218625352019444e-06 - loss_debug/logprob_diff_mean: -0.6633403301239014 - loss_debug/logprob_diff_min: -7.500553131103516 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -7.210479679997661e-07 - loss_debug/logprobs_min: -1.0967194612021558e-05 - loss_debug/logprobs_std: 2.204571501351893e-06 - loss_debug/num_trainable_tokens: 144.0 - loss_debug/per_token_loss_max: 1.5238795280456543 - loss_debug/per_token_loss_mean: 0.14013057947158813 - loss_debug/per_token_loss_min: -1.2499375343322754 - loss_debug/policy_loss_max: 1.2499375343322754 - loss_debug/policy_loss_mean: -0.09034808725118637 - loss_debug/policy_loss_min: -1.0978341102600098 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.6633409857749939 - loss_debug/ref_logprobs_min: -7.500553131103516 - loss_debug/ref_logprobs_std: 1.7104331254959106 - loss_debug/seq_len: 232.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 4.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.4643910485319793 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.3381537944078445 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.1546264048665762 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.474278224632144 - main_perf/continuous_rollouts/total_duration_avg_s: 1.6616708631627262 - 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rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0031652217730879784 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0031652217730879784 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.019476239569485188 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.019476239569485188 - rl_trainer_perf/step/total_duration_avg_s: 0.19437282625585794 - rl_trainer_perf/step/total_duration_max_s: 0.19437282625585794 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:18:19 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:18:20 INFO Pushing weights for policy version 66 -[ReferenceModel-0/1] 2025-11-20 09:18:20 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:21 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:22 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:18:22 INFO Completed weights push in 2.68 seconds -[Generator-0/1] 2025-11-20 09:18:22 INFO [Generator] Fetching weights for v66 to shared memory -INFO 11-20 09:18:25 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:18:25 INFO Weight update completed (now v66) -[ReferenceModel-0/1] 2025-11-20 09:18:25 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 65: Starting training - -================================================================================ -[ROLLOUT 208] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=65 - -================================================================================ -[ROLLOUT 209] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=65 - -================================================================================ -[ROLLOUT 210] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=65 -Dropping weights @ version 65 - -================================================================================ -[ROLLOUT 211] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=65 -Dropped weights @ version 65, took 0.78 seconds -WandbBackend: Logged 127 metrics at step 66 -=== [global_reduce] - METRICS STEP 66 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 69.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.22857142857142856 - buffer/sample/avg_sampled_policy_age: 0.6875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0012420238927006721 - buffer_perf/sample/total_duration_max_s: 0.0012420238927006721 - episode/total_tokens: 230.96923076923076 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.13846153846153847 - game/games_played: 65.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.38461538461538464 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 65.0 - generator/generate/count_sequences_completed: 65.0 - generator/generate/sum_tokens_generated: 585.0 - 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loss_debug/per_token_loss_mean: 0.18893224000930786 - loss_debug/per_token_loss_min: -1.6769572496414185 - loss_debug/policy_loss_max: 1.6769572496414185 - loss_debug/policy_loss_mean: -0.1365956962108612 - loss_debug/policy_loss_min: -1.0978341102600098 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.6887009739875793 - loss_debug/ref_logprobs_min: -7.000911235809326 - loss_debug/ref_logprobs_std: 1.7685164213180542 - loss_debug/seq_len: 232.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 4.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.47250108839944 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.4296903256326914 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04785534739494324 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.04860127903521061 - main_perf/continuous_rollouts/total_duration_avg_s: 1.5626853925641626 - 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rl_trainer/learning_rate: 9.35935935935936e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005763350054621696 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005763350054621696 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005231229588389397 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005231229588389397 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.6783282244578004 - rl_trainer_perf/push_weights/total_duration_max_s: 2.6783282244578004 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.6772268237546086 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.6772268237546086 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.16860854532569647 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.16860854532569647 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0030258316546678543 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0030258316546678543 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.02036042045801878 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.02036042045801878 - rl_trainer_perf/step/total_duration_avg_s: 0.1919964300468564 - rl_trainer_perf/step/total_duration_max_s: 0.1919964300468564 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:18:26 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:18:26 INFO Pushing weights for policy version 67 -[ReferenceModel-0/1] 2025-11-20 09:18:26 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:27 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:28 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:18:29 INFO Completed weights push in 2.73 seconds -[Generator-0/1] 2025-11-20 09:18:29 INFO [Generator] Fetching weights for v67 to shared memory -INFO 11-20 09:18:31 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:18:31 INFO Weight update completed (now v67) -[ReferenceModel-0/1] 2025-11-20 09:18:31 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 66: Starting training - -================================================================================ -[ROLLOUT 212] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 9 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=66 - -================================================================================ -[ROLLOUT 213] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=66 - -================================================================================ -[ROLLOUT 214] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=66 -Dropping weights @ version 66 - -================================================================================ -[ROLLOUT 215] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 6 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=66 -Dropped weights @ version 66, took 0.91 seconds -WandbBackend: Logged 127 metrics at step 67 -=== [global_reduce] - METRICS STEP 67 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 62.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.2222222222222222 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0011101756244897842 - buffer_perf/sample/total_duration_max_s: 0.0011101756244897842 - episode/total_tokens: 231.11267605633802 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.22535211267605634 - game/games_played: 71.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.36619718309859156 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 71.0 - generator/generate/count_sequences_completed: 71.0 - generator/generate/sum_tokens_generated: 639.0 - 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generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.753014849498868 - groups/rate_dropped: 0.0 - loss_debug/advantages_max: 1.6769572496414185 - loss_debug/advantages_mean: -0.502792477607727 - loss_debug/advantages_min: -1.0978341102600098 - loss_debug/advantages_std: 0.8209581971168518 - loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.050241678953170776 - loss_debug/final_loss: 0.5530341863632202 - loss_debug/kl_max: 6.251419544219971 - loss_debug/kl_mean: 0.5024167895317078 - loss_debug/kl_min: -5.960464477539063e-08 - loss_debug/kl_std: 1.390960454940796 - loss_debug/logprob_diff_max: 1.907336809381377e-06 - loss_debug/logprob_diff_mean: -0.6670509576797485 - loss_debug/logprob_diff_min: -7.2507100105285645 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -6.051507739357476e-07 - loss_debug/logprobs_min: -1.168244216387393e-05 - loss_debug/logprobs_std: 1.8482318182577728e-06 - loss_debug/num_trainable_tokens: 144.0 - loss_debug/per_token_loss_max: 1.6730680465698242 - 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rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003153975121676922 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003153975121676922 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.020494595170021057 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.020494595170021057 - rl_trainer_perf/step/total_duration_avg_s: 0.192763214930892 - rl_trainer_perf/step/total_duration_max_s: 0.192763214930892 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:18:32 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:18:32 INFO Pushing weights for policy version 68 -[ReferenceModel-0/1] 2025-11-20 09:18:32 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:33 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:35 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:18:35 INFO Completed weights push in 2.83 seconds -[Generator-0/1] 2025-11-20 09:18:35 INFO [Generator] Fetching weights for v68 to shared memory -INFO 11-20 09:18:38 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:18:38 INFO Weight update completed (now v68) -[TRAINING] Step 67: Starting training - -================================================================================ -[ROLLOUT 216] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=67 - -================================================================================ -[ROLLOUT 217] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=67 - -================================================================================ -[ROLLOUT 218] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=67 - -================================================================================ -[ROLLOUT 219] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=67 -Dropping weights @ version 67 - -================================================================================ -[ROLLOUT 220] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:18:39 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[BUFFER ADD] Added 16/16 episodes with policy_v=67 -Dropped weights @ version 67, took 0.91 seconds -WandbBackend: Logged 127 metrics at step 68 -=== [global_reduce] - METRICS STEP 68 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 80.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 63.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.2191780821917808 - buffer/sample/avg_sampled_policy_age: 0.9375 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.001176854595541954 - buffer_perf/sample/total_duration_max_s: 0.001176854595541954 - episode/total_tokens: 231.0144927536232 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.2318840579710145 - game/games_played: 69.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.37681159420289856 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 69.0 - generator/generate/count_sequences_completed: 70.0 - generator/generate/sum_tokens_generated: 630.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.6250206036493182 - generator_perf/_fetch_weights/total_duration_max_s: 1.6250206036493182 - generator_perf/generate/generate/duration_avg_s: 0.0777744194575719 - generator_perf/generate/generate/duration_max_s: 2.638278076171875 - 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rl_trainer_perf/step/total_duration_max_s: 0.19230547919869423 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:18:39 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:18:39 INFO Pushing weights for policy version 69 -[ReferenceModel-0/1] 2025-11-20 09:18:39 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:40 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:41 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:18:42 INFO Completed weights push in 2.87 seconds -[Generator-0/1] 2025-11-20 09:18:42 INFO [Generator] Fetching weights for v69 to shared memory -INFO 11-20 09:18:44 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:18:44 INFO Weight update completed (now v69) -[ReferenceModel-0/1] 2025-11-20 09:18:45 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 68: Starting training - -================================================================================ -[ROLLOUT 221] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=68 - -================================================================================ -[ROLLOUT 222] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=68 - -================================================================================ -[ROLLOUT 223] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=68 -Dropping weights @ version 68 - -================================================================================ -[ROLLOUT 224] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=68 -Dropped weights @ version 68, took 0.92 seconds -WandbBackend: Logged 127 metrics at step 69 -=== [global_reduce] - METRICS STEP 69 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 69.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.19047619047619047 - buffer/sample/avg_sampled_policy_age: 0.9375 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0012419456616044044 - buffer_perf/sample/total_duration_max_s: 0.0012419456616044044 - episode/total_tokens: 231.25 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.25 - game/games_played: 72.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.3194444444444444 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 72.0 - generator/generate/count_sequences_completed: 71.0 - generator/generate/sum_tokens_generated: 639.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5421258555725217 - generator_perf/_fetch_weights/total_duration_max_s: 1.5421258555725217 - generator_perf/generate/generate/duration_avg_s: 0.07682918430382096 - generator_perf/generate/generate/duration_max_s: 2.61254150390625 - generator_perf/generate/process_inputs/duration_avg_s: 0.0008855292411967061 - generator_perf/generate/process_inputs/duration_max_s: 0.0024134399890899656 - generator_perf/generate/total_duration_avg_s: 0.07781750069997723 - generator_perf/generate/total_duration_max_s: 2.6140192319601776 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.53119124379009 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.53119124379009 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7912753587588668 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7912753587588668 - groups/rate_dropped: 0.0 - loss_debug/advantages_max: 1.2499375343322754 - loss_debug/advantages_mean: -0.28521159291267395 - loss_debug/advantages_min: -0.8538709878921509 - loss_debug/advantages_std: 0.7533656358718872 - loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.06423091143369675 - loss_debug/final_loss: 0.3494425117969513 - loss_debug/kl_max: 6.501105785369873 - loss_debug/kl_mean: 0.6423091292381287 - loss_debug/kl_min: 0.0 - loss_debug/kl_std: 1.6500132083892822 - loss_debug/logprob_diff_max: 3.3378337320755236e-06 - loss_debug/logprob_diff_mean: -0.8336648344993591 - loss_debug/logprob_diff_min: -7.500553131103516 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -6.399200742635003e-07 - loss_debug/logprobs_min: -9.894321920000948e-06 - loss_debug/logprobs_std: 1.933049361468875e-06 - loss_debug/num_trainable_tokens: 144.0 - loss_debug/per_token_loss_max: 1.454053282737732 - loss_debug/per_token_loss_mean: 0.3494425117969513 - loss_debug/per_token_loss_min: -1.2499375343322754 - loss_debug/policy_loss_max: 1.2499375343322754 - loss_debug/policy_loss_mean: -0.28521162271499634 - loss_debug/policy_loss_min: -0.8538709878921509 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.8336654305458069 - loss_debug/ref_logprobs_min: -7.500553131103516 - loss_debug/ref_logprobs_std: 1.966413974761963 - loss_debug/seq_len: 232.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 4.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.4591460581868887 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.4037371072918177 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.048057781998068094 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.04890706390142441 - main_perf/continuous_rollouts/total_duration_avg_s: 1.5512117776088417 - main_perf/continuous_rollouts/total_duration_max_s: 3.5038436017930508 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.9199501667171717 - main_perf/continuous_training/drop_weights/duration_max_s: 0.9199501667171717 - main_perf/continuous_training/push_weights/duration_avg_s: 2.8745923591777682 - main_perf/continuous_training/push_weights/duration_max_s: 2.8745923591777682 - main_perf/continuous_training/total_duration_avg_s: 6.594765790738165 - main_perf/continuous_training/total_duration_max_s: 6.594765790738165 - main_perf/continuous_training/train_step/duration_avg_s: 0.19729463011026382 - main_perf/continuous_training/train_step/duration_max_s: 0.19729463011026382 - main_perf/continuous_training/update_weights/duration_avg_s: 2.599270866252482 - main_perf/continuous_training/update_weights/duration_max_s: 2.599270866252482 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.003655184991657734 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.003655184991657734 - reference_perf/forward/avg_sequence_length: 232.0 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.018211291171610355 - reference_perf/forward/compute_logprobs/duration_max_s: 0.01834944076836109 - reference_perf/forward/count_forward_passes: 4.0 - reference_perf/forward/forward/duration_avg_s: 0.015655177179723978 - reference_perf/forward/forward/duration_max_s: 0.01582193560898304 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0004073306918144226 - reference_perf/forward/garbage_collection/duration_max_s: 0.00042067840695381165 - reference_perf/forward/memory_delta_end_start_avg_gb: 1.0505619049072266 - reference_perf/forward/memory_peak_max_gb: 10.120736122131348 - reference_perf/forward/to_device/duration_avg_s: 0.00015103141777217388 - reference_perf/forward/to_device/duration_max_s: 0.00015313178300857544 - reference_perf/forward/total_duration_avg_s: 0.034427306381985545 - reference_perf/forward/total_duration_max_s: 0.034485312178730965 - rl_trainer/avg_loss: 0.3494425117969513 - rl_trainer/learning_rate: 9.32932932932933e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006310874596238136 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006310874596238136 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005171541124582291 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005171541124582291 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.872621809132397 - rl_trainer_perf/push_weights/total_duration_max_s: 2.872621809132397 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.871471324004233 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.871471324004233 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.16966628190129995 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.16966628190129995 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0030125100165605545 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0030125100165605545 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.02047072909772396 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.02047072909772396 - rl_trainer_perf/step/total_duration_avg_s: 0.19315217528492212 - rl_trainer_perf/step/total_duration_max_s: 0.19315217528492212 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:18:45 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:18:46 INFO Pushing weights for policy version 70 -[ReferenceModel-0/1] 2025-11-20 09:18:46 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:47 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:47 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:18:48 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:18:48 INFO Completed weights push in 2.97 seconds -[Generator-0/1] 2025-11-20 09:18:48 INFO [Generator] Fetching weights for v70 to shared memory -INFO 11-20 09:18:51 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:18:51 INFO Weight update completed (now v70) -[TRAINING] Step 69: Starting training - -================================================================================ -[ROLLOUT 225] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=69 - -================================================================================ -[ROLLOUT 226] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=69 - -================================================================================ -[ROLLOUT 227] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=69 - -================================================================================ -[ROLLOUT 228] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=69 -Dropping weights @ version 69 - -================================================================================ -[ROLLOUT 229] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 6 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:18:52 INFO [GC] Performing periodic GC collection took 0.00 seconds - -Dropped weights @ version 69, took 0.85 seconds -WandbBackend: Logged 125 metrics at step 70 -=== [global_reduce] - METRICS STEP 70 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 67.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 70.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.20512820512820512 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - 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-================================================================================ -[ROLLOUT 230] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=70 - -================================================================================ -[ROLLOUT 231] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=70 - -================================================================================ -[ROLLOUT 232] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=70 -Dropping weights @ version 70 - -================================================================================ -[ROLLOUT 233] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=70 -Dropped weights @ version 70, took 0.91 seconds -WandbBackend: Logged 127 metrics at step 71 -=== [global_reduce] - METRICS STEP 71 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 77.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 73.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.21621621621621623 - buffer/sample/avg_sampled_policy_age: 0.9375 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.001115020364522934 - buffer_perf/sample/total_duration_max_s: 0.001115020364522934 - episode/total_tokens: 231.1315789473684 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.32894736842105265 - game/games_played: 76.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.32894736842105265 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 77.0 - generator/generate/count_sequences_completed: 76.0 - generator/generate/sum_tokens_generated: 684.0 - 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rl_trainer/learning_rate: 9.30930930930931e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006335703656077385 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006335703656077385 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005405917763710022 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005405917763710022 - rl_trainer_perf/push_weights/total_duration_avg_s: 3.0631518959999084 - rl_trainer_perf/push_weights/total_duration_max_s: 3.0631518959999084 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 3.061974768526852 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 3.061974768526852 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.16968008130788803 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.16968008130788803 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0029411232098937035 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0029411232098937035 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.02109086886048317 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.02109086886048317 - rl_trainer_perf/step/total_duration_avg_s: 0.19371502846479416 - rl_trainer_perf/step/total_duration_max_s: 0.19371502846479416 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:18:59 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:18:59 INFO Pushing weights for policy version 72 -[ReferenceModel-0/1] 2025-11-20 09:18:59 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:00 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:01 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:19:02 INFO Completed weights push in 2.97 seconds -[Generator-0/1] 2025-11-20 09:19:02 INFO [Generator] Fetching weights for v72 to shared memory -INFO 11-20 09:19:05 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:19:05 INFO Weight update completed (now v72) -[TRAINING] Step 71: Starting training - -================================================================================ -[ROLLOUT 234] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=71 - -================================================================================ -[ROLLOUT 235] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 9 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=71 - -================================================================================ -[ROLLOUT 236] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 9 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=71 - -================================================================================ -[ROLLOUT 237] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=71 -Dropping weights @ version 71 - -================================================================================ -[ROLLOUT 238] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:19:05 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[BUFFER ADD] Added 16/16 episodes with policy_v=71 -Dropped weights @ version 71, took 0.85 seconds -WandbBackend: Logged 127 metrics at step 72 -=== [global_reduce] - METRICS STEP 72 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 80.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 70.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.20253164556962025 - buffer/sample/avg_sampled_policy_age: 0.9375 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.001274152658879757 - buffer_perf/sample/total_duration_max_s: 0.001274152658879757 - episode/total_tokens: 231.0857142857143 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.3142857142857143 - game/games_played: 70.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.32857142857142857 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 70.0 - generator/generate/count_sequences_completed: 70.0 - generator/generate/sum_tokens_generated: 630.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.643378526903689 - generator_perf/_fetch_weights/total_duration_max_s: 1.643378526903689 - generator_perf/generate/generate/duration_avg_s: 0.07890240761893136 - generator_perf/generate/generate/duration_max_s: 2.67694482421875 - generator_perf/generate/process_inputs/duration_avg_s: 0.0009141636565194596 - generator_perf/generate/process_inputs/duration_max_s: 0.0013186240196228027 - generator_perf/generate/total_duration_avg_s: 0.07991908053220911 - generator_perf/generate/total_duration_max_s: 2.678175992205739 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.6199076771736145 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.6199076771736145 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7641548411920667 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7641548411920667 - groups/rate_dropped: 0.0 - loss_debug/advantages_max: 1.436065673828125 - loss_debug/advantages_mean: 0.274269700050354 - loss_debug/advantages_min: -0.8538709878921509 - loss_debug/advantages_std: 1.0044820308685303 - loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.051252324134111404 - loss_debug/final_loss: -0.2230173945426941 - loss_debug/kl_max: 6.251419544219971 - loss_debug/kl_mean: 0.5125232338905334 - loss_debug/kl_min: 0.0 - loss_debug/kl_std: 1.4542641639709473 - loss_debug/logprob_diff_max: 0.0 - loss_debug/logprob_diff_mean: -0.6749008297920227 - loss_debug/logprob_diff_min: -7.2507100105285645 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -4.139203326758434e-07 - loss_debug/logprobs_min: -5.8412379075889476e-06 - loss_debug/logprobs_std: 1.1893315559063922e-06 - loss_debug/num_trainable_tokens: 144.0 - loss_debug/per_token_loss_max: 1.3792566061019897 - loss_debug/per_token_loss_mean: -0.2230173498392105 - loss_debug/per_token_loss_min: -1.436065673828125 - loss_debug/policy_loss_max: 1.436065673828125 - loss_debug/policy_loss_mean: 0.2742696702480316 - loss_debug/policy_loss_min: -0.8538709878921509 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.6749013066291809 - loss_debug/ref_logprobs_min: -7.2507100105285645 - loss_debug/ref_logprobs_std: 1.7503037452697754 - loss_debug/seq_len: 232.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 5.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.3492927661165595 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.4552121367305517 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04770010970532894 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.04866798035800457 - main_perf/continuous_rollouts/total_duration_avg_s: 1.4401231760159134 - main_perf/continuous_rollouts/total_duration_max_s: 3.5507151167839766 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.8524473505094647 - main_perf/continuous_training/drop_weights/duration_max_s: 0.8524473505094647 - main_perf/continuous_training/push_weights/duration_avg_s: 2.9672248736023903 - main_perf/continuous_training/push_weights/duration_max_s: 2.9672248736023903 - main_perf/continuous_training/total_duration_avg_s: 6.702850709669292 - main_perf/continuous_training/total_duration_max_s: 6.702850709669292 - main_perf/continuous_training/train_step/duration_avg_s: 0.199096011929214 - main_perf/continuous_training/train_step/duration_max_s: 0.199096011929214 - main_perf/continuous_training/update_weights/duration_avg_s: 2.680417343042791 - main_perf/continuous_training/update_weights/duration_max_s: 2.680417343042791 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0036635184660553932 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0036635184660553932 - reference_perf/forward/avg_sequence_length: 232.0 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.01691090352833271 - reference_perf/forward/compute_logprobs/duration_max_s: 0.01852050982415676 - reference_perf/forward/count_forward_passes: 5.0 - reference_perf/forward/forward/duration_avg_s: 0.016948712803423405 - reference_perf/forward/forward/duration_max_s: 0.02355449739843607 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00041038282215595246 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004727169871330261 - reference_perf/forward/memory_delta_end_start_avg_gb: 1.0505619049072266 - reference_perf/forward/memory_peak_max_gb: 10.120736122131348 - reference_perf/forward/to_device/duration_avg_s: 0.0001406913623213768 - reference_perf/forward/to_device/duration_max_s: 0.0001496570184826851 - reference_perf/forward/total_duration_avg_s: 0.03441288787871599 - reference_perf/forward/total_duration_max_s: 0.03477284777909517 - rl_trainer/avg_loss: -0.2230173945426941 - rl_trainer/learning_rate: 9.2992992992993e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006163753569126129 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006163753569126129 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005343100056052208 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005343100056052208 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.9652983397245407 - rl_trainer_perf/push_weights/total_duration_max_s: 2.9652983397245407 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.9641445400193334 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.9641445400193334 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.16945498064160347 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.16945498064160347 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.002828070893883705 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.002828070893883705 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01975964941084385 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01975964941084385 - rl_trainer_perf/step/total_duration_avg_s: 0.1920457947999239 - rl_trainer_perf/step/total_duration_max_s: 0.1920457947999239 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:19:06 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:19:06 INFO Pushing weights for policy version 73 -[ReferenceModel-0/1] 2025-11-20 09:19:06 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:07 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:08 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:19:09 INFO Completed weights push in 2.78 seconds -[Generator-0/1] 2025-11-20 09:19:09 INFO [Generator] Fetching weights for v73 to shared memory -INFO 11-20 09:19:11 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:19:11 INFO Weight update completed (now v73) -[ReferenceModel-0/1] 2025-11-20 09:19:12 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 72: Starting training - -================================================================================ -[ROLLOUT 239] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=72 - -================================================================================ -[ROLLOUT 240] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=72 - -================================================================================ -[ROLLOUT 241] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=72 -Dropping weights @ version 72 - -================================================================================ -[ROLLOUT 242] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=72 -Dropped weights @ version 72, took 0.89 seconds -WandbBackend: Logged 127 metrics at step 73 -=== [global_reduce] - METRICS STEP 73 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 76.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.1927710843373494 - buffer/sample/avg_sampled_policy_age: 0.9375 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0012978585436940193 - buffer_perf/sample/total_duration_max_s: 0.0012978585436940193 - episode/total_tokens: 231.08450704225353 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.22535211267605634 - game/games_played: 71.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.36619718309859156 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 71.0 - generator/generate/count_sequences_completed: 71.0 - generator/generate/sum_tokens_generated: 639.0 - 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rl_trainer/learning_rate: 9.289289289289291e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006292248144745827 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006292248144745827 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.000505576841533184 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.000505576841533184 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.781445645727217 - rl_trainer_perf/push_weights/total_duration_max_s: 2.781445645727217 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.780308149755001 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.780308149755001 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1703579295426607 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.1703579295426607 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.002902815118432045 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.002902815118432045 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.019439823925495148 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.019439823925495148 - rl_trainer_perf/step/total_duration_avg_s: 0.1927029127255082 - rl_trainer_perf/step/total_duration_max_s: 0.1927029127255082 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:19:12 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:19:12 INFO Pushing weights for policy version 74 -[ReferenceModel-0/1] 2025-11-20 09:19:12 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:13 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:14 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:19:15 INFO Completed weights push in 3.09 seconds -[Generator-0/1] 2025-11-20 09:19:15 INFO [Generator] Fetching weights for v74 to shared memory -INFO 11-20 09:19:18 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:19:18 INFO Weight update completed (now v74) -[TRAINING] Step 73: Starting training - -================================================================================ -[ROLLOUT 243] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=73 - -================================================================================ -[ROLLOUT 244] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 9 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=73 - -================================================================================ -[ROLLOUT 245] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=73 - -================================================================================ -[ROLLOUT 246] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=73 -Dropping weights @ version 73 - -================================================================================ -[ROLLOUT 247] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:19:19 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[BUFFER ADD] Added 16/16 episodes with policy_v=73 -Dropped weights @ version 73, took 0.90 seconds -WandbBackend: Logged 127 metrics at step 74 -=== [global_reduce] - METRICS STEP 74 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 80.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 71.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.21052631578947367 - buffer/sample/avg_sampled_policy_age: 0.9375 - 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rl_trainer_perf/step/total_duration_avg_s: 0.1928115077316761 - rl_trainer_perf/step/total_duration_max_s: 0.1928115077316761 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:19:19 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:19:19 INFO Pushing weights for policy version 75 -[ReferenceModel-0/1] 2025-11-20 09:19:20 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:20 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:21 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:19:22 INFO Completed weights push in 2.81 seconds -[Generator-0/1] 2025-11-20 09:19:22 INFO [Generator] Fetching weights for v75 to shared memory -INFO 11-20 09:19:25 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:19:25 INFO Weight update completed (now v75) -[ReferenceModel-0/1] 2025-11-20 09:19:25 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 74: Starting training - -================================================================================ -[ROLLOUT 248] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=74 - -================================================================================ -[ROLLOUT 249] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=74 - -================================================================================ -[ROLLOUT 250] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=74 -Dropping weights @ version 74 - -================================================================================ -[ROLLOUT 251] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=74 -Dropped weights @ version 74, took 0.67 seconds -WandbBackend: Logged 127 metrics at step 75 -=== [global_reduce] - METRICS STEP 75 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 71.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.18823529411764706 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0012670820578932762 - buffer_perf/sample/total_duration_max_s: 0.0012670820578932762 - episode/total_tokens: 231.06060606060606 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.045454545454545456 - game/games_played: 66.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.45454545454545453 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 66.0 - generator/generate/count_sequences_completed: 66.0 - generator/generate/sum_tokens_generated: 594.0 - 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loss_debug/per_token_loss_mean: 0.32072994112968445 - loss_debug/per_token_loss_min: -1.2499375343322754 - loss_debug/policy_loss_max: 1.2499375343322754 - loss_debug/policy_loss_mean: -0.261104017496109 - loss_debug/policy_loss_min: -0.9681990146636963 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.7813629508018494 - loss_debug/ref_logprobs_min: -7.500553131103516 - loss_debug/ref_logprobs_std: 1.8804715871810913 - loss_debug/seq_len: 232.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 4.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.4702228393871337 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.4180961856618524 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04787647631019354 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.04851601831614971 - main_perf/continuous_rollouts/total_duration_avg_s: 1.5620522825047374 - 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reference_perf/forward/avg_sequence_length: 232.0 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.01789181842468679 - reference_perf/forward/compute_logprobs/duration_max_s: 0.018570595420897007 - reference_perf/forward/count_forward_passes: 4.0 - reference_perf/forward/forward/duration_avg_s: 0.015961697325110435 - reference_perf/forward/forward/duration_max_s: 0.0176772503182292 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0004041283391416073 - reference_perf/forward/garbage_collection/duration_max_s: 0.00040763895958662033 - reference_perf/forward/memory_delta_end_start_avg_gb: 1.0505619049072266 - reference_perf/forward/memory_peak_max_gb: 10.120736122131348 - reference_perf/forward/to_device/duration_avg_s: 0.00014820718206465244 - reference_perf/forward/to_device/duration_max_s: 0.0001497780904173851 - reference_perf/forward/total_duration_avg_s: 0.03440800472162664 - reference_perf/forward/total_duration_max_s: 0.03443652763962746 - rl_trainer/avg_loss: 0.32072991132736206 - rl_trainer/learning_rate: 9.26926926926927e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.000628102570772171 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.000628102570772171 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005286717787384987 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005286717787384987 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.8143324414268136 - rl_trainer_perf/push_weights/total_duration_max_s: 2.8143324414268136 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.813173484057188 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.813173484057188 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.16871374659240246 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.16871374659240246 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0029274215921759605 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0029274215921759605 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.02131347730755806 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.02131347730755806 - rl_trainer_perf/step/total_duration_avg_s: 0.19295697938650846 - rl_trainer_perf/step/total_duration_max_s: 0.19295697938650846 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:19:25 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:19:25 INFO Pushing weights for policy version 76 -[ReferenceModel-0/1] 2025-11-20 09:19:26 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:27 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:28 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:19:28 INFO Completed weights push in 2.88 seconds -[Generator-0/1] 2025-11-20 09:19:28 INFO [Generator] Fetching weights for v76 to shared memory -INFO 11-20 09:19:31 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:19:31 INFO Weight update completed (now v76) -[ReferenceModel-0/1] 2025-11-20 09:19:31 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 75: Starting training - -================================================================================ -[ROLLOUT 252] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=75 - -================================================================================ -[ROLLOUT 253] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=75 - -================================================================================ -[ROLLOUT 254] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=75 -Dropping weights @ version 75 - -================================================================================ -[ROLLOUT 255] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 9 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=75 -Dropped weights @ version 75, took 0.82 seconds -WandbBackend: Logged 127 metrics at step 76 -=== [global_reduce] - METRICS STEP 76 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 75.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.21621621621621623 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0012814337387681007 - buffer_perf/sample/total_duration_max_s: 0.0012814337387681007 - episode/total_tokens: 231.15714285714284 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.35714285714285715 - game/games_played: 70.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.3 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 70.0 - generator/generate/count_sequences_completed: 70.0 - generator/generate/sum_tokens_generated: 630.0 - 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loss_debug/per_token_loss_mean: 0.2749943137168884 - loss_debug/per_token_loss_min: -1.0978341102600098 - loss_debug/policy_loss_max: 1.0978341102600098 - loss_debug/policy_loss_mean: -0.21810902655124664 - loss_debug/policy_loss_min: -1.2499375343322754 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.7543337941169739 - loss_debug/ref_logprobs_min: -7.000911235809326 - loss_debug/ref_logprobs_std: 1.8179734945297241 - loss_debug/seq_len: 232.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 4.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.4740063627250493 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.467918299138546 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.047448989702388644 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.04781130142509937 - main_perf/continuous_rollouts/total_duration_avg_s: 1.5642049016896635 - 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rl_trainer/learning_rate: 9.25925925925926e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006063096225261688 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006063096225261688 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005310159176588058 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005310159176588058 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.883917291648686 - rl_trainer_perf/push_weights/total_duration_max_s: 2.883917291648686 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.882777562364936 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.882777562364936 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.17402886040508747 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.17402886040508747 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003232213668525219 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003232213668525219 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018410813994705677 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018410813994705677 - rl_trainer_perf/step/total_duration_avg_s: 0.195673449896276 - rl_trainer_perf/step/total_duration_max_s: 0.195673449896276 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:19:32 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:19:32 INFO Pushing weights for policy version 77 -[ReferenceModel-0/1] 2025-11-20 09:19:32 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:33 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:19:34 INFO Completed weights push in 2.35 seconds -[Generator-0/1] 2025-11-20 09:19:34 INFO [Generator] Fetching weights for v77 to shared memory -INFO 11-20 09:19:37 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:19:37 INFO Weight update completed (now v77) -[ReferenceModel-0/1] 2025-11-20 09:19:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 76: Starting training - -================================================================================ -[ROLLOUT 256] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=76 - -================================================================================ -[ROLLOUT 257] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=76 - -================================================================================ -[ROLLOUT 258] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 9 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=76 -Dropping weights @ version 76 - -================================================================================ -[ROLLOUT 259] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=76 -Dropped weights @ version 76, took 0.92 seconds -WandbBackend: Logged 127 metrics at step 77 -=== [global_reduce] - METRICS STEP 77 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 70.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.23529411764705882 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.001248745247721672 - buffer_perf/sample/total_duration_max_s: 0.001248745247721672 - episode/total_tokens: 231.0483870967742 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.20967741935483872 - game/games_played: 62.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.3870967741935484 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 62.0 - generator/generate/count_sequences_completed: 62.0 - generator/generate/sum_tokens_generated: 558.0 - 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generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7814038917422295 - groups/rate_dropped: 0.0 - loss_debug/advantages_max: 1.6769572496414185 - loss_debug/advantages_mean: -0.06030888855457306 - loss_debug/advantages_min: -0.9681990146636963 - loss_debug/advantages_std: 1.056984543800354 - loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.05465468391776085 - loss_debug/final_loss: 0.11496356129646301 - loss_debug/kl_max: 6.501105785369873 - loss_debug/kl_mean: 0.5465468168258667 - loss_debug/kl_min: -5.960464477539063e-08 - loss_debug/kl_std: 1.5086240768432617 - loss_debug/logprob_diff_max: 1.1920926823449918e-07 - loss_debug/logprob_diff_mean: -0.7138093709945679 - loss_debug/logprob_diff_min: -7.500553131103516 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -4.0729761963120836e-07 - loss_debug/logprobs_min: -6.079655122448457e-06 - loss_debug/logprobs_std: 1.1847735095216194e-06 - loss_debug/num_trainable_tokens: 144.0 - loss_debug/per_token_loss_max: 1.5434329509735107 - 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rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.002912178635597229 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.002912178635597229 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.019643137231469154 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.019643137231469154 - rl_trainer_perf/step/total_duration_avg_s: 0.19264164380729198 - rl_trainer_perf/step/total_duration_max_s: 0.19264164380729198 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:19:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:19:38 INFO Pushing weights for policy version 78 -[ReferenceModel-0/1] 2025-11-20 09:19:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:39 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:40 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:41 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:19:41 INFO Completed weights push in 2.86 seconds -[Generator-0/1] 2025-11-20 09:19:41 INFO [Generator] Fetching weights for v78 to shared memory -INFO 11-20 09:19:44 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:19:44 INFO Weight update completed (now v78) -[TRAINING] Step 77: Starting training - -================================================================================ -[ROLLOUT 260] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=77 - -================================================================================ -[ROLLOUT 261] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 9 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=77 - -================================================================================ -[ROLLOUT 262] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=77 - -================================================================================ -[ROLLOUT 263] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=77 -Dropping weights @ version 77 -Dropped weights @ version 77, took 0.78 seconds -WandbBackend: Logged 125 metrics at step 78 -=== [global_reduce] - METRICS STEP 78 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 67.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.24615384615384617 - buffer/sample/avg_sampled_policy_age: 0.8125 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.001294824294745922 - buffer_perf/sample/total_duration_max_s: 0.001294824294745922 - episode/total_tokens: 230.88571428571427 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.24285714285714285 - game/games_played: 70.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.34285714285714286 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 70.0 - generator/generate/count_sequences_completed: 70.0 - generator/generate/sum_tokens_generated: 630.0 - 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loss_debug/policy_loss_max: 1.436065673828125 - loss_debug/policy_loss_mean: -0.11685877293348312 - loss_debug/policy_loss_min: -0.8538709878921509 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.7659887671470642 - loss_debug/ref_logprobs_min: -7.500553131103516 - loss_debug/ref_logprobs_std: 1.8831850290298462 - loss_debug/seq_len: 232.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 4.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.8060084444005042 - main_perf/continuous_rollouts/play_games/duration_max_s: 0.8110184585675597 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04742360836826265 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.048123122192919254 - main_perf/continuous_rollouts/total_duration_avg_s: 0.9006278326269239 - main_perf/continuous_rollouts/total_duration_max_s: 0.912222295999527 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.7819837518036366 - 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reference_perf/forward/compute_logprobs/duration_max_s: 0.01847078837454319 - reference_perf/forward/count_forward_passes: 4.0 - reference_perf/forward/forward/duration_avg_s: 0.015475778141990304 - reference_perf/forward/forward/duration_max_s: 0.0157691678032279 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00040937610901892185 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004204576835036278 - reference_perf/forward/memory_delta_end_start_avg_gb: 1.0505619049072266 - reference_perf/forward/memory_peak_max_gb: 10.120736122131348 - reference_perf/forward/to_device/duration_avg_s: 0.00015121209435164928 - reference_perf/forward/to_device/duration_max_s: 0.00015252083539962769 - reference_perf/forward/total_duration_avg_s: 0.03440052433870733 - reference_perf/forward/total_duration_max_s: 0.03448879346251488 - rl_trainer/avg_loss: 0.17545299232006073 - rl_trainer/learning_rate: 9.23923923923924e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.00063313078135252 - 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rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0029593007639050484 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.02035768050700426 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.02035768050700426 - rl_trainer_perf/step/total_duration_avg_s: 0.1925382288172841 - rl_trainer_perf/step/total_duration_max_s: 0.1925382288172841 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:19:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:19:45 INFO Pushing weights for policy version 79 -[ReferenceModel-0/1] 2025-11-20 09:19:45 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:46 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:47 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:19:47 INFO Completed weights push in 2.70 seconds -[Generator-0/1] 2025-11-20 09:19:47 INFO [Generator] Fetching weights for v79 to shared memory -INFO 11-20 09:19:50 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:19:50 INFO Weight update completed (now v79) -[TRAINING] Step 78: Starting training - -================================================================================ -[ROLLOUT 264] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=78 - -================================================================================ -[ROLLOUT 265] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=78 - -================================================================================ -[ROLLOUT 266] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=78 - -================================================================================ -[ROLLOUT 267] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=78 -Dropping weights @ version 78 - -================================================================================ -[ROLLOUT 268] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:19:51 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[BUFFER ADD] Added 16/16 episodes with policy_v=78 -Dropped weights @ version 78, took 0.87 seconds -WandbBackend: Logged 127 metrics at step 79 -=== [global_reduce] - METRICS STEP 79 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 80.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 61.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.23529411764705882 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.001185799017548561 - buffer_perf/sample/total_duration_max_s: 0.001185799017548561 - episode/total_tokens: 231.0597014925373 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.19402985074626866 - game/games_played: 67.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.3283582089552239 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 67.0 - generator/generate/count_sequences_completed: 67.0 - generator/generate/sum_tokens_generated: 603.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.622254990041256 - generator_perf/_fetch_weights/total_duration_max_s: 1.622254990041256 - generator_perf/generate/generate/duration_avg_s: 0.07834508918648335 - generator_perf/generate/generate/duration_max_s: 2.582371337890625 - generator_perf/generate/process_inputs/duration_avg_s: 0.000990130148716827 - generator_perf/generate/process_inputs/duration_max_s: 0.002457632064819336 - generator_perf/generate/total_duration_avg_s: 0.07943395509615317 - generator_perf/generate/total_duration_max_s: 2.5840985058918595 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5863766381517053 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5863766381517053 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.6949763773009181 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.6949763773009181 - groups/rate_dropped: 0.0 - loss_debug/advantages_max: 1.436065673828125 - loss_debug/advantages_mean: -0.5190452337265015 - loss_debug/advantages_min: -0.9681990146636963 - loss_debug/advantages_std: 0.6931692361831665 - loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.05263962224125862 - loss_debug/final_loss: 0.5716849565505981 - loss_debug/kl_max: 6.251419544219971 - loss_debug/kl_mean: 0.5263962149620056 - loss_debug/kl_min: -5.960464477539063e-08 - loss_debug/kl_std: 1.4408131837844849 - loss_debug/logprob_diff_max: 0.0 - loss_debug/logprob_diff_mean: -0.6939160823822021 - loss_debug/logprob_diff_min: -7.2507100105285645 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -4.114368437058147e-07 - loss_debug/logprobs_min: -6.079655122448457e-06 - loss_debug/logprobs_std: 1.1903241556865396e-06 - loss_debug/num_trainable_tokens: 144.0 - loss_debug/per_token_loss_max: 1.5683813095092773 - loss_debug/per_token_loss_mean: 0.5716848969459534 - loss_debug/per_token_loss_min: -1.436065673828125 - loss_debug/policy_loss_max: 1.436065673828125 - loss_debug/policy_loss_mean: -0.5190452337265015 - loss_debug/policy_loss_min: -0.9681990146636963 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.6939164996147156 - loss_debug/ref_logprobs_min: -7.2507100105285645 - loss_debug/ref_logprobs_std: 1.7465797662734985 - loss_debug/seq_len: 232.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 5.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.8204887516796588 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.359413263387978 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.047768071107566354 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.04823504202067852 - main_perf/continuous_rollouts/total_duration_avg_s: 1.9093278177082538 - main_perf/continuous_rollouts/total_duration_max_s: 3.4505676506087184 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.8690180480480194 - main_perf/continuous_training/drop_weights/duration_max_s: 0.8690180480480194 - main_perf/continuous_training/push_weights/duration_avg_s: 2.7057757740840316 - main_perf/continuous_training/push_weights/duration_max_s: 2.7057757740840316 - main_perf/continuous_training/total_duration_avg_s: 6.36477096285671 - main_perf/continuous_training/total_duration_max_s: 6.36477096285671 - main_perf/continuous_training/train_step/duration_avg_s: 0.19775298982858658 - main_perf/continuous_training/train_step/duration_max_s: 0.19775298982858658 - main_perf/continuous_training/update_weights/duration_avg_s: 2.5888809682801366 - main_perf/continuous_training/update_weights/duration_max_s: 2.5888809682801366 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.003339998424053192 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.003339998424053192 - reference_perf/forward/avg_sequence_length: 232.0 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.01809054035693407 - reference_perf/forward/compute_logprobs/duration_max_s: 0.018344485200941563 - reference_perf/forward/count_forward_passes: 5.0 - reference_perf/forward/forward/duration_avg_s: 0.015752078406512736 - reference_perf/forward/forward/duration_max_s: 0.01608223281800747 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0004138778895139694 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004195459187030792 - reference_perf/forward/memory_delta_end_start_avg_gb: 1.0505619049072266 - reference_perf/forward/memory_peak_max_gb: 10.120736122131348 - reference_perf/forward/to_device/duration_avg_s: 0.00015088319778442383 - reference_perf/forward/to_device/duration_max_s: 0.00015319231897592545 - reference_perf/forward/total_duration_avg_s: 0.03440963551402092 - reference_perf/forward/total_duration_max_s: 0.03454757295548916 - rl_trainer/avg_loss: 0.5716849565505981 - rl_trainer/learning_rate: 9.229229229229229e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006388789042830467 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006388789042830467 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005178861320018768 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005178861320018768 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.7038224497810006 - rl_trainer_perf/push_weights/total_duration_max_s: 2.7038224497810006 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.7026618784293532 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.7026618784293532 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.16838917415589094 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.16838917415589094 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.00294483732432127 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.00294483732432127 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.022702429443597794 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.022702429443597794 - rl_trainer_perf/step/total_duration_avg_s: 0.1940384842455387 - rl_trainer_perf/step/total_duration_max_s: 0.1940384842455387 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:19:51 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:19:51 INFO Pushing weights for policy version 80 -[ReferenceModel-0/1] 2025-11-20 09:19:51 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:52 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:19:53 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:19:54 INFO Completed weights push in 2.77 seconds -[Generator-0/1] 2025-11-20 09:19:54 INFO [Generator] Fetching weights for v80 to shared memory -INFO 11-20 09:19:56 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:19:56 INFO Weight update completed (now v80) -[ReferenceModel-0/1] 2025-11-20 09:19:57 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 79: Starting training - -================================================================================ -[ROLLOUT 269] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=79 - -================================================================================ -[ROLLOUT 270] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=79 - -================================================================================ -[ROLLOUT 271] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=79 -Dropping weights @ version 79 - -================================================================================ -[ROLLOUT 272] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 9 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=79 -Dropped weights @ version 79, took 0.88 seconds -WandbBackend: Logged 127 metrics at step 80 -=== [global_reduce] - METRICS STEP 80 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 68.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.2 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0012265518307685852 - buffer_perf/sample/total_duration_max_s: 0.0012265518307685852 - episode/total_tokens: 231.05633802816902 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.04225352112676056 - game/games_played: 71.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.4507042253521127 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 71.0 - generator/generate/count_sequences_completed: 71.0 - generator/generate/sum_tokens_generated: 639.0 - 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-================================================================================ -[ROLLOUT 273] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=80 - -================================================================================ -[ROLLOUT 274] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=80 - -================================================================================ -[ROLLOUT 275] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=80 - -================================================================================ -[ROLLOUT 276] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 6 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=80 -Dropping weights @ version 80 - -================================================================================ -[ROLLOUT 277] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 9 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:20:04 INFO [GC] Performing periodic GC collection took 0.00 seconds - -Dropped weights @ version 80, took 0.84 seconds -WandbBackend: Logged 125 metrics at step 81 -=== [global_reduce] - METRICS STEP 81 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 67.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.2077922077922078 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - 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rl_trainer_perf/push_weights/total_duration_max_s: 2.8206896036863327 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.819539769552648 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.819539769552648 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1702073523774743 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.1702073523774743 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003322351723909378 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003322351723909378 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.019820365123450756 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.019820365123450756 - rl_trainer_perf/step/total_duration_avg_s: 0.19335214234888554 - rl_trainer_perf/step/total_duration_max_s: 0.19335214234888554 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:20:04 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:20:04 INFO Pushing weights for policy version 82 -[ReferenceModel-0/1] 2025-11-20 09:20:05 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:06 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:06 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:20:07 INFO Completed weights push in 3.14 seconds -[Generator-0/1] 2025-11-20 09:20:07 INFO [Generator] Fetching weights for v82 to shared memory -INFO 11-20 09:20:10 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:20:10 INFO Weight update completed (now v82) -[ReferenceModel-0/1] 2025-11-20 09:20:10 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 81: Starting training -[BUFFER ADD] Added 16/16 episodes with policy_v=81 - -================================================================================ -[ROLLOUT 278] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=81 - -================================================================================ -[ROLLOUT 279] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=81 - -================================================================================ -[ROLLOUT 280] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 9 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=81 -Dropping weights @ version 81 - -================================================================================ -[ROLLOUT 281] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=81 -Dropped weights @ version 81, took 0.86 seconds -WandbBackend: Logged 127 metrics at step 82 -=== [global_reduce] - METRICS STEP 82 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 80.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 73.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.23529411764705882 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0018473230302333832 - buffer_perf/sample/total_duration_max_s: 0.0018473230302333832 - episode/total_tokens: 231.10526315789474 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.07894736842105263 - game/games_played: 76.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.4473684210526316 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 77.0 - generator/generate/count_sequences_completed: 76.0 - generator/generate/sum_tokens_generated: 684.0 - 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generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7274281596764922 - groups/rate_dropped: 0.0 - loss_debug/advantages_max: 1.2499375343322754 - loss_debug/advantages_mean: -0.27025726437568665 - loss_debug/advantages_min: -0.8538709878921509 - loss_debug/advantages_std: 0.8643598556518555 - loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.06130456179380417 - loss_debug/final_loss: 0.3315618634223938 - loss_debug/kl_max: 6.251419544219971 - loss_debug/kl_mean: 0.6130456328392029 - loss_debug/kl_min: 0.0 - loss_debug/kl_std: 1.6032708883285522 - loss_debug/logprob_diff_max: 5.960428097750992e-07 - loss_debug/logprob_diff_mean: -0.8039363026618958 - loss_debug/logprob_diff_min: -7.2507100105285645 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -5.016711952521291e-07 - loss_debug/logprobs_min: -7.748573807475623e-06 - loss_debug/logprobs_std: 1.463600142415089e-06 - loss_debug/num_trainable_tokens: 144.0 - loss_debug/per_token_loss_max: 1.3792566061019897 - loss_debug/per_token_loss_mean: 0.3315618932247162 - loss_debug/per_token_loss_min: -1.2499375343322754 - loss_debug/policy_loss_max: 1.2499375343322754 - loss_debug/policy_loss_mean: -0.27025729417800903 - loss_debug/policy_loss_min: -0.8538709878921509 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.803936779499054 - loss_debug/ref_logprobs_min: -7.2507100105285645 - loss_debug/ref_logprobs_std: 1.9136635065078735 - loss_debug/seq_len: 232.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 5.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.8129583304747938 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.336731255054474 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04702173490077257 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.04777577519416809 - main_perf/continuous_rollouts/total_duration_avg_s: 1.9014188146218658 - main_perf/continuous_rollouts/total_duration_max_s: 3.4232989735901356 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.8577509904280305 - main_perf/continuous_training/drop_weights/duration_max_s: 0.8577509904280305 - main_perf/continuous_training/push_weights/duration_avg_s: 3.138284613378346 - main_perf/continuous_training/push_weights/duration_max_s: 3.138284613378346 - main_perf/continuous_training/total_duration_avg_s: 6.739353625103831 - main_perf/continuous_training/total_duration_max_s: 6.739353625103831 - main_perf/continuous_training/train_step/duration_avg_s: 0.19789148960262537 - main_perf/continuous_training/train_step/duration_max_s: 0.19789148960262537 - main_perf/continuous_training/update_weights/duration_avg_s: 2.5408057291060686 - main_perf/continuous_training/update_weights/duration_max_s: 2.5408057291060686 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.004619099199771881 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.004619099199771881 - reference_perf/forward/avg_sequence_length: 232.0 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.017989729717373847 - reference_perf/forward/compute_logprobs/duration_max_s: 0.01828944217413664 - reference_perf/forward/count_forward_passes: 4.0 - reference_perf/forward/forward/duration_avg_s: 0.015885432437062263 - reference_perf/forward/forward/duration_max_s: 0.016812541522085667 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0003992175683379173 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004061255604028702 - reference_perf/forward/memory_delta_end_start_avg_gb: 1.0505619049072266 - reference_perf/forward/memory_peak_max_gb: 10.120736122131348 - reference_perf/forward/to_device/duration_avg_s: 0.00015222690999507904 - reference_perf/forward/to_device/duration_max_s: 0.00015626754611730576 - reference_perf/forward/total_duration_avg_s: 0.03442880194634199 - reference_perf/forward/total_duration_max_s: 0.03449619375169277 - rl_trainer/avg_loss: 0.3315618634223938 - rl_trainer/learning_rate: 9.1991991991992e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.000591387040913105 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.000591387040913105 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005271900445222855 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005271900445222855 - rl_trainer_perf/push_weights/total_duration_avg_s: 3.135819872841239 - rl_trainer_perf/push_weights/total_duration_max_s: 3.135819872841239 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 3.134699252434075 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 3.134699252434075 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.17061776481568813 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.17061776481568813 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0032324446365237236 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0032324446365237236 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.02015295997262001 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.02015295997262001 - rl_trainer_perf/step/total_duration_avg_s: 0.19400505255907774 - rl_trainer_perf/step/total_duration_max_s: 0.19400505255907774 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:20:11 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:11 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:20:11 INFO Pushing weights for policy version 83 -[ReferenceModel-0/1] 2025-11-20 09:20:12 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:12 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:13 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:20:14 INFO Completed weights push in 3.27 seconds -[Generator-0/1] 2025-11-20 09:20:14 INFO [Generator] Fetching weights for v83 to shared memory -INFO 11-20 09:20:17 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:20:17 INFO Weight update completed (now v83) -[TRAINING] Step 82: Starting training - -================================================================================ -[ROLLOUT 282] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=82 - -================================================================================ -[ROLLOUT 283] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=82 - -================================================================================ -[ROLLOUT 284] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 5, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 5, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=82 - -================================================================================ -[ROLLOUT 285] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=82 -Dropping weights @ version 82 - -================================================================================ -[ROLLOUT 286] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 229, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:20:17 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[BUFFER ADD] Added 16/16 episodes with policy_v=82 -Dropped weights @ version 82, took 0.80 seconds -WandbBackend: Logged 127 metrics at step 83 -=== [global_reduce] - METRICS STEP 83 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 80.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 68.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.2 - buffer/sample/avg_sampled_policy_age: 0.9375 - 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rl_trainer_perf/step/total_duration_max_s: 0.19452887773513794 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:20:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:20:18 INFO Pushing weights for policy version 84 -[ReferenceModel-0/1] 2025-11-20 09:20:18 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:19 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:20 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:20:20 INFO Completed weights push in 2.64 seconds -[Generator-0/1] 2025-11-20 09:20:20 INFO [Generator] Fetching weights for v84 to shared memory -INFO 11-20 09:20:23 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:20:23 INFO Weight update completed (now v84) -[ReferenceModel-0/1] 2025-11-20 09:20:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 83: Starting training - -================================================================================ -[ROLLOUT 287] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=83 - -================================================================================ -[ROLLOUT 288] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=83 - -================================================================================ -[ROLLOUT 289] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=83 -Dropping weights @ version 83 - -================================================================================ -[ROLLOUT 290] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 6 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=83 -Dropped weights @ version 83, took 0.94 seconds -WandbBackend: Logged 127 metrics at step 84 -=== [global_reduce] - 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rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0031913015991449356 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0031913015991449356 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017974705435335636 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017974705435335636 - rl_trainer_perf/step/total_duration_avg_s: 0.197217907756567 - rl_trainer_perf/step/total_duration_max_s: 0.197217907756567 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:20:24 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:24 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:20:24 INFO Pushing weights for policy version 85 -[ReferenceModel-0/1] 2025-11-20 09:20:25 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:26 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:27 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:20:27 INFO Completed weights push in 2.88 seconds -[Generator-0/1] 2025-11-20 09:20:27 INFO [Generator] Fetching weights for v85 to shared memory -INFO 11-20 09:20:30 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:20:30 INFO Weight update completed (now v85) -[TRAINING] Step 84: Starting training - -================================================================================ -[ROLLOUT 291] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 6 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=84 - -================================================================================ -[ROLLOUT 292] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=84 - -================================================================================ -[ROLLOUT 293] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=84 - -================================================================================ -[ROLLOUT 294] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=84 -Dropping weights @ version 84 - -================================================================================ -[ROLLOUT 295] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 6, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 6, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:20:30 INFO [GC] Performing periodic GC collection took 0.00 seconds - -Dropped weights @ version 84, took 0.73 seconds -WandbBackend: Logged 127 metrics at step 85 -=== [global_reduce] - METRICS STEP 85 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 77.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 76.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.22857142857142856 - buffer/sample/avg_sampled_policy_age: 0.9375 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0018500369042158127 - buffer_perf/sample/total_duration_max_s: 0.0018500369042158127 - episode/total_tokens: 231.14492753623188 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.30434782608695654 - game/games_played: 69.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.3188405797101449 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 68.0 - generator/generate/count_sequences_completed: 69.0 - generator/generate/sum_tokens_generated: 621.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.6678427131846547 - generator_perf/_fetch_weights/total_duration_max_s: 1.6678427131846547 - generator_perf/generate/generate/duration_avg_s: 0.07937033390653307 - generator_perf/generate/generate/duration_max_s: 2.66640380859375 - generator_perf/generate/process_inputs/duration_avg_s: 0.0008748127517958535 - generator_perf/generate/process_inputs/duration_max_s: 0.0023935039043426515 - generator_perf/generate/total_duration_avg_s: 0.08035342955671967 - generator_perf/generate/total_duration_max_s: 2.6675839046388865 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.6268131975084543 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.6268131975084543 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.741770121268928 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.741770121268928 - groups/rate_dropped: 0.0 - loss_debug/advantages_max: 1.0978341102600098 - loss_debug/advantages_mean: -0.37671077251434326 - loss_debug/advantages_min: -0.8538709878921509 - loss_debug/advantages_std: 0.7425442337989807 - loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.05472829192876816 - loss_debug/final_loss: 0.43143904209136963 - loss_debug/kl_max: 6.501105785369873 - loss_debug/kl_mean: 0.5472829341888428 - loss_debug/kl_min: 0.0 - loss_debug/kl_std: 1.5088192224502563 - loss_debug/logprob_diff_max: 4.768339749716688e-07 - loss_debug/logprob_diff_mean: -0.7198622226715088 - loss_debug/logprob_diff_min: -7.500553131103516 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -5.579641424446891e-07 - loss_debug/logprobs_min: -9.298280929215252e-06 - loss_debug/logprobs_std: 1.68041594861279e-06 - loss_debug/num_trainable_tokens: 144.0 - loss_debug/per_token_loss_max: 1.503981590270996 - loss_debug/per_token_loss_mean: 0.43143904209136963 - loss_debug/per_token_loss_min: -1.0978341102600098 - loss_debug/policy_loss_max: 1.0978341102600098 - loss_debug/policy_loss_mean: -0.37671080231666565 - loss_debug/policy_loss_min: -0.8538709878921509 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.7198627591133118 - loss_debug/ref_logprobs_min: -7.500553131103516 - loss_debug/ref_logprobs_std: 1.81025230884552 - loss_debug/seq_len: 232.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 4.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 0.8044703532941639 - main_perf/continuous_rollouts/play_games/duration_max_s: 0.815534071996808 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04693597601726651 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.0474886791780591 - main_perf/continuous_rollouts/total_duration_avg_s: 0.8934272392652929 - main_perf/continuous_rollouts/total_duration_max_s: 0.9038946898654103 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.7332361927255988 - main_perf/continuous_training/drop_weights/duration_max_s: 0.7332361927255988 - main_perf/continuous_training/push_weights/duration_avg_s: 2.884256601333618 - main_perf/continuous_training/push_weights/duration_max_s: 2.884256601333618 - main_perf/continuous_training/total_duration_avg_s: 6.518777152523398 - main_perf/continuous_training/total_duration_max_s: 6.518777152523398 - main_perf/continuous_training/train_step/duration_avg_s: 0.2162778601050377 - main_perf/continuous_training/train_step/duration_max_s: 0.2162778601050377 - main_perf/continuous_training/update_weights/duration_avg_s: 2.677297259680927 - main_perf/continuous_training/update_weights/duration_max_s: 2.677297259680927 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.007707185111939907 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.007707185111939907 - reference_perf/forward/avg_sequence_length: 232.0 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.017854927107691765 - reference_perf/forward/compute_logprobs/duration_max_s: 0.018077190034091473 - reference_perf/forward/count_forward_passes: 5.0 - reference_perf/forward/forward/duration_avg_s: 0.015715975500643253 - reference_perf/forward/forward/duration_max_s: 0.01587011106312275 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00039083510637283325 - reference_perf/forward/garbage_collection/duration_max_s: 0.00040144938975572586 - reference_perf/forward/memory_delta_end_start_avg_gb: 1.0505619049072266 - reference_perf/forward/memory_peak_max_gb: 10.120736122131348 - reference_perf/forward/to_device/duration_avg_s: 8.935350924730301e-05 - reference_perf/forward/to_device/duration_max_s: 0.00010002125054597855 - reference_perf/forward/total_duration_avg_s: 0.0340528316795826 - reference_perf/forward/total_duration_max_s: 0.03414475079625845 - rl_trainer/avg_loss: 0.43143904209136963 - rl_trainer/learning_rate: 9.16916916916917e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006089536473155022 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006089536473155022 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005336804315447807 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005336804315447807 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.882379992865026 - rl_trainer_perf/push_weights/total_duration_max_s: 2.882379992865026 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.8812353359535336 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.8812353359535336 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.19126053899526596 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.19126053899526596 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0032024085521698 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0032024085521698 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01799120008945465 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01799120008945465 - rl_trainer_perf/step/total_duration_avg_s: 0.2124562505632639 - rl_trainer_perf/step/total_duration_max_s: 0.2124562505632639 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:20:31 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:20:31 INFO Pushing weights for policy version 86 -[ReferenceModel-0/1] 2025-11-20 09:20:31 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:32 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:33 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:20:34 INFO Completed weights push in 2.95 seconds -[Generator-0/1] 2025-11-20 09:20:34 INFO [Generator] Fetching weights for v86 to shared memory -INFO 11-20 09:20:36 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:20:36 INFO Weight update completed (now v86) -[ReferenceModel-0/1] 2025-11-20 09:20:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[BUFFER ADD] Added 16/16 episodes with policy_v=84 -[TRAINING] Step 85: Starting training - -================================================================================ -[ROLLOUT 296] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=85 - -================================================================================ -[ROLLOUT 297] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=85 - -================================================================================ -[ROLLOUT 298] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=85 -Dropping weights @ version 85 - -================================================================================ -[ROLLOUT 299] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=85 -Dropped weights @ version 85, took 0.95 seconds -WandbBackend: Logged 127 metrics at step 86 -=== [global_reduce] - METRICS STEP 86 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 67.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 66.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.19047619047619047 - buffer/sample/avg_sampled_policy_age: 0.9375 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0014270953834056854 - buffer_perf/sample/total_duration_max_s: 0.0014270953834056854 - episode/total_tokens: 231.14864864864865 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.28378378378378377 - game/games_played: 74.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.35135135135135137 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 75.0 - generator/generate/count_sequences_completed: 74.0 - generator/generate/sum_tokens_generated: 666.0 - 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rl_trainer/learning_rate: 9.15915915915916e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006814142689108849 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006814142689108849 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0006496459245681763 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0006496459245681763 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.9490642603486776 - rl_trainer_perf/push_weights/total_duration_max_s: 2.9490642603486776 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.9477301854640245 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.9477301854640245 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1693876776844263 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.1693876776844263 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0034476518630981445 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0034476518630981445 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01962531916797161 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01962531916797161 - rl_trainer_perf/step/total_duration_avg_s: 0.19246299285441637 - rl_trainer_perf/step/total_duration_max_s: 0.19246299285441637 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:20:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:20:37 INFO Pushing weights for policy version 87 -[ReferenceModel-0/1] 2025-11-20 09:20:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:39 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:40 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:20:40 INFO Completed weights push in 3.06 seconds -[Generator-0/1] 2025-11-20 09:20:40 INFO [Generator] Fetching weights for v87 to shared memory -INFO 11-20 09:20:43 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:20:43 INFO Weight update completed (now v87) -[TRAINING] Step 86: Starting training - -================================================================================ -[ROLLOUT 300] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=86 - -================================================================================ -[ROLLOUT 301] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=86 - -================================================================================ -[ROLLOUT 302] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=86 - -================================================================================ -[ROLLOUT 303] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=86 -Dropping weights @ version 86 - -================================================================================ -[ROLLOUT 304] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 5, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 5, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:20:44 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[BUFFER ADD] Added 16/16 episodes with policy_v=86 -Dropped weights @ version 86, took 0.91 seconds -WandbBackend: Logged 127 metrics at step 87 -=== [global_reduce] - METRICS STEP 87 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 80.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 72.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.21052631578947367 - buffer/sample/avg_sampled_policy_age: 0.9375 - 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rl_trainer_perf/step/total_duration_avg_s: 0.191961120814085 - rl_trainer_perf/step/total_duration_max_s: 0.191961120814085 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:20:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:20:44 INFO Pushing weights for policy version 88 -[ReferenceModel-0/1] 2025-11-20 09:20:45 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:45 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:46 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:20:47 INFO Completed weights push in 2.56 seconds -[Generator-0/1] 2025-11-20 09:20:47 INFO [Generator] Fetching weights for v88 to shared memory -INFO 11-20 09:20:49 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:20:49 INFO Weight update completed (now v88) -[ReferenceModel-0/1] 2025-11-20 09:20:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 87: Starting training - -================================================================================ -[ROLLOUT 305] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=87 - -================================================================================ -[ROLLOUT 306] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=87 - -================================================================================ -[ROLLOUT 307] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=87 -Dropping weights @ version 87 - -================================================================================ -[ROLLOUT 308] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=87 -Dropped weights @ version 87, took 0.87 seconds -WandbBackend: Logged 127 metrics at step 88 -=== [global_reduce] - METRICS STEP 88 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 71.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.18823529411764706 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0012787999585270882 - buffer_perf/sample/total_duration_max_s: 0.0012787999585270882 - episode/total_tokens: 231.04615384615386 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.36923076923076925 - game/games_played: 65.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.27692307692307694 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 65.0 - generator/generate/count_sequences_completed: 66.0 - generator/generate/sum_tokens_generated: 594.0 - 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loss_debug/per_token_loss_mean: 0.012991455383598804 - loss_debug/per_token_loss_min: -1.6769572496414185 - loss_debug/policy_loss_max: 1.6769572496414185 - loss_debug/policy_loss_mean: 0.03673078119754791 - loss_debug/policy_loss_min: -0.8538709878921509 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.6587907671928406 - loss_debug/ref_logprobs_min: -7.000911235809326 - loss_debug/ref_logprobs_std: 1.685028076171875 - loss_debug/seq_len: 232.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 4.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.46377447177656 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.4555076779797673 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04722232976928353 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.04771563317626715 - main_perf/continuous_rollouts/total_duration_avg_s: 1.5534379601012915 - 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rl_trainer/learning_rate: 9.13913913913914e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006464812904596329 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006464812904596329 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005135992541909218 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005135992541909218 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.555265855975449 - rl_trainer_perf/push_weights/total_duration_max_s: 2.555265855975449 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.554102852009237 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.554102852009237 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1741135325282812 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.1741135325282812 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0030160052701830864 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0030160052701830864 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01800360530614853 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01800360530614853 - rl_trainer_perf/step/total_duration_avg_s: 0.19513514637947083 - rl_trainer_perf/step/total_duration_max_s: 0.19513514637947083 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:20:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:20:50 INFO Pushing weights for policy version 89 -[ReferenceModel-0/1] 2025-11-20 09:20:51 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:52 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:52 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:20:53 INFO Completed weights push in 2.85 seconds -[Generator-0/1] 2025-11-20 09:20:53 INFO [Generator] Fetching weights for v89 to shared memory -INFO 11-20 09:20:56 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:20:56 INFO Weight update completed (now v89) -[ReferenceModel-0/1] 2025-11-20 09:20:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 88: Starting training - -================================================================================ -[ROLLOUT 309] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=88 - -================================================================================ -[ROLLOUT 310] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=88 - -================================================================================ -[ROLLOUT 311] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=88 -Dropping weights @ version 88 - -================================================================================ -[ROLLOUT 312] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=88 - -================================================================================ -[ROLLOUT 313] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:20:57 INFO [GC] Performing periodic GC collection took 0.00 seconds - -Dropped weights @ version 88, took 1.00 seconds -WandbBackend: Logged 127 metrics at step 89 -=== [global_reduce] - METRICS STEP 89 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 76.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.2191780821917808 - buffer/sample/avg_sampled_policy_age: 0.9375 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.001317187212407589 - buffer_perf/sample/total_duration_max_s: 0.001317187212407589 - episode/total_tokens: 231.10666666666665 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.13333333333333333 - game/games_played: 75.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.4266666666666667 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 74.0 - generator/generate/count_sequences_completed: 74.0 - generator/generate/sum_tokens_generated: 666.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5989761101081967 - generator_perf/_fetch_weights/total_duration_max_s: 1.5989761101081967 - generator_perf/generate/generate/duration_avg_s: 0.0748426090962178 - generator_perf/generate/generate/duration_max_s: 2.54373291015625 - generator_perf/generate/process_inputs/duration_avg_s: 0.0008939433527789452 - generator_perf/generate/process_inputs/duration_max_s: 0.0013932160139083862 - generator_perf/generate/total_duration_avg_s: 0.07584079936791426 - generator_perf/generate/total_duration_max_s: 2.5452851661741733 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5416603712365031 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5416603712365031 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7124812938272953 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7124812938272953 - groups/rate_dropped: 0.0 - loss_debug/advantages_max: 2.015439510345459 - loss_debug/advantages_mean: 0.05966784060001373 - loss_debug/advantages_min: -0.6527571082115173 - loss_debug/advantages_std: 1.0494962930679321 - loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.06426145881414413 - loss_debug/final_loss: 0.004593595862388611 - loss_debug/kl_max: 6.001822471618652 - loss_debug/kl_mean: 0.6426146030426025 - loss_debug/kl_min: -5.960464477539063e-08 - loss_debug/kl_std: 1.6582255363464355 - loss_debug/logprob_diff_max: 1.1920926823449918e-07 - loss_debug/logprob_diff_mean: -0.8380703330039978 - loss_debug/logprob_diff_min: -7.000911235809326 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -4.958764066032018e-07 - loss_debug/logprobs_min: -5.8412379075889476e-06 - loss_debug/logprobs_std: 1.3926796782470774e-06 - loss_debug/num_trainable_tokens: 144.0 - loss_debug/per_token_loss_max: 1.2529393434524536 - loss_debug/per_token_loss_mean: 0.004593630786985159 - loss_debug/per_token_loss_min: -2.015439510345459 - loss_debug/policy_loss_max: 2.015439510345459 - loss_debug/policy_loss_mean: 0.059667814522981644 - loss_debug/policy_loss_min: -0.6527571082115173 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.8380709290504456 - loss_debug/ref_logprobs_min: -7.000911235809326 - loss_debug/ref_logprobs_std: 1.970637321472168 - loss_debug/seq_len: 232.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 4.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.4370377336163074 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.3483688477426767 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04699156992137432 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.04758935235440731 - main_perf/continuous_rollouts/total_duration_avg_s: 1.5257835327647626 - main_perf/continuous_rollouts/total_duration_max_s: 3.444325312040746 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.9990943195298314 - main_perf/continuous_training/drop_weights/duration_max_s: 0.9990943195298314 - main_perf/continuous_training/push_weights/duration_avg_s: 2.85582622140646 - main_perf/continuous_training/push_weights/duration_max_s: 2.85582622140646 - main_perf/continuous_training/total_duration_avg_s: 6.6389823211357 - main_perf/continuous_training/total_duration_max_s: 6.6389823211357 - main_perf/continuous_training/train_step/duration_avg_s: 0.2019782578572631 - main_perf/continuous_training/train_step/duration_max_s: 0.2019782578572631 - main_perf/continuous_training/update_weights/duration_avg_s: 2.57861025352031 - main_perf/continuous_training/update_weights/duration_max_s: 2.57861025352031 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0034714369103312492 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0034714369103312492 - reference_perf/forward/avg_sequence_length: 232.0 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.017911000177264214 - reference_perf/forward/compute_logprobs/duration_max_s: 0.017988421954214573 - reference_perf/forward/count_forward_passes: 5.0 - reference_perf/forward/forward/duration_avg_s: 0.015714231319725512 - reference_perf/forward/forward/duration_max_s: 0.015923009254038334 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0004089565947651863 - reference_perf/forward/garbage_collection/duration_max_s: 0.00042259134352207184 - reference_perf/forward/memory_delta_end_start_avg_gb: 1.0505619049072266 - reference_perf/forward/memory_peak_max_gb: 10.120736122131348 - reference_perf/forward/to_device/duration_avg_s: 0.0001135505735874176 - reference_perf/forward/to_device/duration_max_s: 0.00011464394629001617 - reference_perf/forward/total_duration_avg_s: 0.03414996396750212 - reference_perf/forward/total_duration_max_s: 0.034210823476314545 - rl_trainer/avg_loss: 0.004593595862388611 - rl_trainer/learning_rate: 9.129129129129129e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006316471844911575 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006316471844911575 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005436353385448456 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005436353385448456 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.854120402596891 - rl_trainer_perf/push_weights/total_duration_max_s: 2.854120402596891 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.852942747063935 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.852942747063935 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.16952385939657688 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.16952385939657688 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003002454526722431 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003002454526722431 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.0204378180205822 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.0204378180205822 - rl_trainer_perf/step/total_duration_avg_s: 0.192966946400702 - rl_trainer_perf/step/total_duration_max_s: 0.192966946400702 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:20:57 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:20:57 INFO Pushing weights for policy version 90 -[ReferenceModel-0/1] 2025-11-20 09:20:58 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:59 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:20:59 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:21:00 INFO Completed weights push in 3.02 seconds -[Generator-0/1] 2025-11-20 09:21:00 INFO [Generator] Fetching weights for v90 to shared memory -INFO 11-20 09:21:03 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:21:03 INFO Weight update completed (now v90) -[ReferenceModel-0/1] 2025-11-20 09:21:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 89: Starting training -[BUFFER ADD] Added 16/16 episodes with policy_v=89 - -================================================================================ -[ROLLOUT 314] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=89 - -================================================================================ -[ROLLOUT 315] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=89 - -================================================================================ -[ROLLOUT 316] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=89 -Dropping weights @ version 89 - -================================================================================ -[ROLLOUT 317] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 229, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=89 -Dropped weights @ version 89, took 0.94 seconds -WandbBackend: Logged 127 metrics at step 90 -=== [global_reduce] - METRICS STEP 90 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 80.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 65.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.2222222222222222 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.001228594221174717 - buffer_perf/sample/total_duration_max_s: 0.001228594221174717 - episode/total_tokens: 230.96 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.28 - game/games_played: 75.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.3333333333333333 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 76.0 - generator/generate/count_sequences_completed: 75.0 - generator/generate/sum_tokens_generated: 675.0 - generator/update_weights/count_weight_updates: 1.0 - 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-================================================================================ -[ROLLOUT 318] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 9 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 9<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=90 - -================================================================================ -[ROLLOUT 319] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=90 - -================================================================================ -[ROLLOUT 320] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=90 - -================================================================================ -[ROLLOUT 321] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=90 -Dropping weights @ version 90 - -================================================================================ -[ROLLOUT 322] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:21:10 INFO [GC] Performing periodic GC collection took 0.00 seconds - -Dropped weights @ version 90, took 0.85 seconds -WandbBackend: Logged 125 metrics at step 91 -=== [global_reduce] - METRICS STEP 91 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 71.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.19753086419753085 - buffer/sample/avg_sampled_policy_age: 0.9375 - buffer/sample/count_sample_requests: 1.0 - 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rl_trainer_perf/push_weights/total_duration_max_s: 2.676460920833051 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.675318418070674 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.675318418070674 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.1725211562588811 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.1725211562588811 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003115566447377205 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003115566447377205 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.017581925727427006 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.017581925727427006 - rl_trainer_perf/step/total_duration_avg_s: 0.19322139210999012 - rl_trainer_perf/step/total_duration_max_s: 0.19322139210999012 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:21:10 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:21:10 INFO Pushing weights for policy version 92 -[ReferenceModel-0/1] 2025-11-20 09:21:11 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:21:12 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:21:13 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:21:13 INFO Completed weights push in 2.59 seconds -[Generator-0/1] 2025-11-20 09:21:13 INFO [Generator] Fetching weights for v92 to shared memory -INFO 11-20 09:21:16 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:21:16 INFO Weight update completed (now v92) -[ReferenceModel-0/1] 2025-11-20 09:21:16 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 91: Starting training -[BUFFER ADD] Added 16/16 episodes with policy_v=91 - -================================================================================ -[ROLLOUT 323] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=91 - -================================================================================ -[ROLLOUT 324] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=91 - -================================================================================ -[ROLLOUT 325] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=91 -Dropping weights @ version 91 - -================================================================================ -[ROLLOUT 326] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -Dropped weights @ version 91, took 0.79 seconds -WandbBackend: Logged 127 metrics at step 92 -=== [global_reduce] - METRICS STEP 92 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 73.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 77.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.23529411764705882 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0018761968240141869 - buffer_perf/sample/total_duration_max_s: 0.0018761968240141869 - episode/total_tokens: 231.109375 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.015625 - game/games_played: 64.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.453125 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 64.0 - generator/generate/count_sequences_completed: 64.0 - generator/generate/sum_tokens_generated: 576.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.6039197705686092 - generator_perf/_fetch_weights/total_duration_max_s: 1.6039197705686092 - generator_perf/generate/generate/duration_avg_s: 0.08078019762039182 - generator_perf/generate/generate/duration_max_s: 2.592746826171875 - generator_perf/generate/process_inputs/duration_avg_s: 0.0008700609953339154 - generator_perf/generate/process_inputs/duration_max_s: 0.0014026880264282227 - generator_perf/generate/total_duration_avg_s: 0.0817620981158543 - generator_perf/generate/total_duration_max_s: 2.594209162145853 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5423281034454703 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5423281034454703 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7448175344616175 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7448175344616175 - groups/rate_dropped: 0.0 - loss_debug/advantages_max: 1.436065673828125 - loss_debug/advantages_mean: -0.1059083491563797 - loss_debug/advantages_min: -0.8538709878921509 - loss_debug/advantages_std: 0.9542525410652161 - loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.052807554602622986 - loss_debug/final_loss: 0.15871590375900269 - loss_debug/kl_max: 6.501105785369873 - loss_debug/kl_mean: 0.5280755162239075 - loss_debug/kl_min: -5.960464477539063e-08 - loss_debug/kl_std: 1.4729794263839722 - loss_debug/logprob_diff_max: 1.1920926823449918e-07 - loss_debug/logprob_diff_mean: -0.6931875348091125 - loss_debug/logprob_diff_min: -7.500553131103516 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -4.3792766746264533e-07 - loss_debug/logprobs_min: -7.271740287251305e-06 - loss_debug/logprobs_std: 1.2714625654552947e-06 - loss_debug/num_trainable_tokens: 144.0 - loss_debug/per_token_loss_max: 1.3792566061019897 - loss_debug/per_token_loss_mean: 0.15871591866016388 - loss_debug/per_token_loss_min: -1.436065673828125 - loss_debug/policy_loss_max: 1.436065673828125 - loss_debug/policy_loss_mean: -0.10590837150812149 - loss_debug/policy_loss_min: -0.8538709878921509 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.693187952041626 - loss_debug/ref_logprobs_min: -7.500553131103516 - loss_debug/ref_logprobs_std: 1.7735425233840942 - loss_debug/seq_len: 232.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 4.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.4496372574940324 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.3736749133095145 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.0474799582734704 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.0478708790615201 - main_perf/continuous_rollouts/total_duration_avg_s: 1.5396448054816574 - main_perf/continuous_rollouts/total_duration_max_s: 3.4603249160572886 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.7950487844645977 - main_perf/continuous_training/drop_weights/duration_max_s: 0.7950487844645977 - main_perf/continuous_training/push_weights/duration_avg_s: 2.597547094337642 - main_perf/continuous_training/push_weights/duration_max_s: 2.597547094337642 - main_perf/continuous_training/total_duration_avg_s: 6.231994305737317 - main_perf/continuous_training/total_duration_max_s: 6.231994305737317 - main_perf/continuous_training/train_step/duration_avg_s: 0.20444433018565178 - main_perf/continuous_training/train_step/duration_max_s: 0.20444433018565178 - main_perf/continuous_training/update_weights/duration_avg_s: 2.6307943165302277 - main_perf/continuous_training/update_weights/duration_max_s: 2.6307943165302277 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.004158678464591503 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.004158678464591503 - reference_perf/forward/avg_sequence_length: 232.0 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.01780534740537405 - reference_perf/forward/compute_logprobs/duration_max_s: 0.018101361580193043 - reference_perf/forward/count_forward_passes: 4.0 - reference_perf/forward/forward/duration_avg_s: 0.015848213247954844 - reference_perf/forward/forward/duration_max_s: 0.016360522247850895 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0004203557968139648 - reference_perf/forward/garbage_collection/duration_max_s: 0.00043954700231552124 - reference_perf/forward/memory_delta_end_start_avg_gb: 1.0505619049072266 - reference_perf/forward/memory_peak_max_gb: 10.120736122131348 - reference_perf/forward/to_device/duration_avg_s: 0.00011406876146793365 - reference_perf/forward/to_device/duration_max_s: 0.00011884979903697968 - reference_perf/forward/total_duration_avg_s: 0.03419032096862793 - reference_perf/forward/total_duration_max_s: 0.03421947732567787 - rl_trainer/avg_loss: 0.15871590375900269 - rl_trainer/learning_rate: 9.0990990990991e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006503164768218994 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006503164768218994 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005313064903020859 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005313064903020859 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.5891784075647593 - rl_trainer_perf/push_weights/total_duration_max_s: 2.5891784075647593 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.5879944507032633 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.5879944507032633 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.16930564772337675 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.16930564772337675 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003177821636199951 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003177821636199951 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.019749573431909084 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.019749573431909084 - rl_trainer_perf/step/total_duration_avg_s: 0.19223499577492476 - rl_trainer_perf/step/total_duration_max_s: 0.19223499577492476 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:21:16 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:21:17 INFO Pushing weights for policy version 93 -[ReferenceModel-0/1] 2025-11-20 09:21:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:21:18 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:21:19 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:21:19 INFO Completed weights push in 2.65 seconds -[Generator-0/1] 2025-11-20 09:21:19 INFO [Generator] Fetching weights for v93 to shared memory -INFO 11-20 09:21:22 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:21:22 INFO Weight update completed (now v93) -[ReferenceModel-0/1] 2025-11-20 09:21:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 92: Starting training -[BUFFER ADD] Added 16/16 episodes with policy_v=91 - -================================================================================ -[ROLLOUT 327] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=92 - -================================================================================ -[ROLLOUT 328] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 21, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 21, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=92 - -================================================================================ -[ROLLOUT 329] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=92 -Dropping weights @ version 92 - -================================================================================ -[ROLLOUT 330] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=92 -Dropped weights @ version 92, took 0.92 seconds -WandbBackend: Logged 127 metrics at step 93 -=== [global_reduce] - METRICS STEP 93 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 71.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 68.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.21052631578947367 - buffer/sample/avg_sampled_policy_age: 0.75 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0014531547203660011 - buffer_perf/sample/total_duration_max_s: 0.0014531547203660011 - episode/total_tokens: 231.0 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.24242424242424243 - game/games_played: 66.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.36363636363636365 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 67.0 - generator/generate/count_sequences_completed: 66.0 - generator/generate/sum_tokens_generated: 594.0 - 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rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0031974809244275093 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0031974809244275093 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018445584923028946 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018445584923028946 - rl_trainer_perf/step/total_duration_avg_s: 0.19240432232618332 - rl_trainer_perf/step/total_duration_max_s: 0.19240432232618332 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:21:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:21:23 INFO Pushing weights for policy version 94 -[ReferenceModel-0/1] 2025-11-20 09:21:24 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:21:24 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:21:25 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:21:26 INFO Completed weights push in 2.69 seconds -[Generator-0/1] 2025-11-20 09:21:26 INFO [Generator] Fetching weights for v94 to shared memory -INFO 11-20 09:21:28 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:21:28 INFO Weight update completed (now v94) -[ReferenceModel-0/1] 2025-11-20 09:21:29 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 93: Starting training - -================================================================================ -[ROLLOUT 331] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=93 - -================================================================================ -[ROLLOUT 332] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=93 - -================================================================================ -[ROLLOUT 333] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=93 -Dropping weights @ version 93 - -================================================================================ -[ROLLOUT 334] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=93 -Dropped weights @ version 93, took 0.79 seconds -WandbBackend: Logged 127 metrics at step 94 -=== [global_reduce] - METRICS STEP 94 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 70.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.21621621621621623 - buffer/sample/avg_sampled_policy_age: 0.6875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0027099810540676117 - buffer_perf/sample/total_duration_max_s: 0.0027099810540676117 - episode/total_tokens: 231.13636363636363 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.25757575757575757 - game/games_played: 66.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.3484848484848485 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 66.0 - generator/generate/count_sequences_completed: 66.0 - generator/generate/sum_tokens_generated: 594.0 - 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rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003016967326402664 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003016967326402664 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.019912611693143845 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.019912611693143845 - rl_trainer_perf/step/total_duration_avg_s: 0.19402677286416292 - rl_trainer_perf/step/total_duration_max_s: 0.19402677286416292 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:21:29 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:21:30 INFO Pushing weights for policy version 95 -[ReferenceModel-0/1] 2025-11-20 09:21:30 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:21:31 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:21:32 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:21:32 INFO Completed weights push in 2.74 seconds -[Generator-0/1] 2025-11-20 09:21:32 INFO [Generator] Fetching weights for v95 to shared memory -INFO 11-20 09:21:35 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:21:35 INFO Weight update completed (now v95) -[ReferenceModel-0/1] 2025-11-20 09:21:35 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 94: Starting training - -================================================================================ -[ROLLOUT 335] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=94 - -================================================================================ -[ROLLOUT 336] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=94 - -================================================================================ -[ROLLOUT 337] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=94 -Dropping weights @ version 94 - -================================================================================ -[ROLLOUT 338] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=94 -Dropped weights @ version 94, took 0.83 seconds -WandbBackend: Logged 127 metrics at step 95 -=== [global_reduce] - METRICS STEP 95 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 66.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.2222222222222222 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0018128203228116035 - buffer_perf/sample/total_duration_max_s: 0.0018128203228116035 - episode/total_tokens: 230.98529411764707 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: 0.058823529411764705 - game/games_played: 68.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.5147058823529411 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 68.0 - generator/generate/count_sequences_completed: 68.0 - generator/generate/sum_tokens_generated: 612.0 - 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generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7546546598896384 - groups/rate_dropped: 0.0 - loss_debug/advantages_max: 1.6769572496414185 - loss_debug/advantages_mean: -0.07176719605922699 - loss_debug/advantages_min: -0.8538709878921509 - loss_debug/advantages_std: 0.9779487252235413 - loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.05966527760028839 - loss_debug/final_loss: 0.13143250346183777 - loss_debug/kl_max: 6.501105785369873 - loss_debug/kl_mean: 0.5966528058052063 - loss_debug/kl_min: -5.960464477539063e-08 - loss_debug/kl_std: 1.5960354804992676 - loss_debug/logprob_diff_max: 3.576255949155893e-07 - loss_debug/logprob_diff_mean: -0.7725418210029602 - loss_debug/logprob_diff_min: -7.500553131103516 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -4.271658156085323e-07 - loss_debug/logprobs_min: -6.6756979322235566e-06 - loss_debug/logprobs_std: 1.2101679658371722e-06 - loss_debug/num_trainable_tokens: 144.0 - loss_debug/per_token_loss_max: 1.454053282737732 - loss_debug/per_token_loss_mean: 0.13143248856067657 - loss_debug/per_token_loss_min: -1.6769572496414185 - loss_debug/policy_loss_max: 1.6769572496414185 - loss_debug/policy_loss_mean: -0.07176719605922699 - loss_debug/policy_loss_min: -0.8538709878921509 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.7725421786308289 - loss_debug/ref_logprobs_min: -7.500553131103516 - loss_debug/ref_logprobs_std: 1.9053702354431152 - loss_debug/seq_len: 232.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 4.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.4705268261022866 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.4416911862790585 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04744402365759015 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.048006544820964336 - main_perf/continuous_rollouts/total_duration_avg_s: 1.5613836427219212 - main_perf/continuous_rollouts/total_duration_max_s: 3.5400415621697903 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.8318818062543869 - main_perf/continuous_training/drop_weights/duration_max_s: 0.8318818062543869 - main_perf/continuous_training/push_weights/duration_avg_s: 2.7394040767103434 - main_perf/continuous_training/push_weights/duration_max_s: 2.7394040767103434 - main_perf/continuous_training/total_duration_avg_s: 6.421839375980198 - main_perf/continuous_training/total_duration_max_s: 6.421839375980198 - main_perf/continuous_training/train_step/duration_avg_s: 0.19786480721086264 - main_perf/continuous_training/train_step/duration_max_s: 0.19786480721086264 - main_perf/continuous_training/update_weights/duration_avg_s: 2.6484641656279564 - main_perf/continuous_training/update_weights/duration_max_s: 2.6484641656279564 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.004221674986183643 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.004221674986183643 - reference_perf/forward/avg_sequence_length: 232.0 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.017580973682925105 - reference_perf/forward/compute_logprobs/duration_max_s: 0.017791463062167168 - reference_perf/forward/count_forward_passes: 4.0 - reference_perf/forward/forward/duration_avg_s: 0.016082041896879673 - reference_perf/forward/forward/duration_max_s: 0.01621122471988201 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00040784827433526516 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004121549427509308 - reference_perf/forward/memory_delta_end_start_avg_gb: 1.0505619049072266 - reference_perf/forward/memory_peak_max_gb: 10.120736122131348 - reference_perf/forward/to_device/duration_avg_s: 0.00011396803893148899 - reference_perf/forward/to_device/duration_max_s: 0.00011596642434597015 - reference_perf/forward/total_duration_avg_s: 0.034186649369075894 - reference_perf/forward/total_duration_max_s: 0.03423298615962267 - rl_trainer/avg_loss: 0.13143250346183777 - rl_trainer/learning_rate: 9.06906906906907e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006078323349356651 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006078323349356651 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005417820066213608 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005417820066213608 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.7375484127551317 - rl_trainer_perf/push_weights/total_duration_max_s: 2.7375484127551317 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.7363967252895236 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.7363967252895236 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.17006819508969784 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.17006819508969784 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0031307097524404526 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0031307097524404526 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.02028891257941723 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.02028891257941723 - rl_trainer_perf/step/total_duration_avg_s: 0.19348960928618908 - rl_trainer_perf/step/total_duration_max_s: 0.19348960928618908 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:21:36 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:21:36 INFO Pushing weights for policy version 96 -[ReferenceModel-0/1] 2025-11-20 09:21:36 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:21:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:21:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:21:39 INFO Completed weights push in 2.86 seconds -[Generator-0/1] 2025-11-20 09:21:39 INFO [Generator] Fetching weights for v96 to shared memory -[ReferenceModel-0/1] 2025-11-20 09:21:39 INFO [GC] Performing periodic GC collection took 0.00 seconds -INFO 11-20 09:21:41 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:21:41 INFO Weight update completed (now v96) -[TRAINING] Step 95: Starting training - -================================================================================ -[ROLLOUT 339] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=95 - -================================================================================ -[ROLLOUT 340] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=95 - -================================================================================ -[ROLLOUT 341] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=95 - -================================================================================ -[ROLLOUT 342] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=95 -Dropping weights @ version 95 - -================================================================================ -[ROLLOUT 343] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:21:42 INFO [GC] Performing periodic GC collection took 0.00 seconds - -Dropped weights @ version 95, took 0.87 seconds -WandbBackend: Logged 127 metrics at step 96 -=== [global_reduce] - METRICS STEP 96 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 65.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.22535211267605634 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - 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-[TitanTrainer-0/1] 2025-11-20 09:21:42 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:21:42 INFO Pushing weights for policy version 97 -[ReferenceModel-0/1] 2025-11-20 09:21:43 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:21:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:21:45 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:21:45 INFO Completed weights push in 2.79 seconds -[Generator-0/1] 2025-11-20 09:21:45 INFO [Generator] Fetching weights for v97 to shared memory -INFO 11-20 09:21:48 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:21:48 INFO Weight update completed (now v97) -[ReferenceModel-0/1] 2025-11-20 09:21:48 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 96: Starting training -[BUFFER ADD] Added 16/16 episodes with policy_v=96 - -================================================================================ -[ROLLOUT 344] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=96 - -================================================================================ -[ROLLOUT 345] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 8, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 8, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=96 - -================================================================================ -[ROLLOUT 346] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=96 -Dropping weights @ version 96 - -================================================================================ -[ROLLOUT 347] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=96 -Dropped weights @ version 96, took 0.83 seconds -WandbBackend: Logged 127 metrics at step 97 -=== [global_reduce] - METRICS STEP 97 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 80.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 67.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.2318840579710145 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0015595462173223495 - buffer_perf/sample/total_duration_max_s: 0.0015595462173223495 - episode/total_tokens: 231.1159420289855 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.028985507246376812 - game/games_played: 69.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.463768115942029 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 70.0 - generator/generate/count_sequences_completed: 69.0 - generator/generate/sum_tokens_generated: 621.0 - 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rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003171672113239765 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003171672113239765 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018890942446887493 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018890942446887493 - rl_trainer_perf/step/total_duration_avg_s: 0.19339431263506413 - rl_trainer_perf/step/total_duration_max_s: 0.19339431263506413 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:21:49 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:21:49 INFO Pushing weights for policy version 98 -[ReferenceModel-0/1] 2025-11-20 09:21:49 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:21:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:21:51 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:21:52 INFO Completed weights push in 2.87 seconds -[Generator-0/1] 2025-11-20 09:21:52 INFO [Generator] Fetching weights for v98 to shared memory -INFO 11-20 09:21:54 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:21:54 INFO Weight update completed (now v98) -[ReferenceModel-0/1] 2025-11-20 09:21:54 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 97: Starting training - -================================================================================ -[ROLLOUT 348] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 9, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 9, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=97 - -================================================================================ -[ROLLOUT 349] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=97 - -================================================================================ -[ROLLOUT 350] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=97 -Dropping weights @ version 97 - -================================================================================ -[ROLLOUT 351] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 7, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 7, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=97 -Dropped weights @ version 97, took 0.89 seconds -WandbBackend: Logged 127 metrics at step 98 -=== [global_reduce] - METRICS STEP 98 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 68.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.2 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.001723836176097393 - buffer_perf/sample/total_duration_max_s: 0.001723836176097393 - episode/total_tokens: 231.05479452054794 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.0410958904109589 - game/games_played: 73.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.4657534246575342 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 73.0 - generator/generate/count_sequences_completed: 73.0 - generator/generate/sum_tokens_generated: 657.0 - 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loss_debug/per_token_loss_mean: 0.3428429365158081 - loss_debug/per_token_loss_min: -1.436065673828125 - loss_debug/policy_loss_max: 1.436065673828125 - loss_debug/policy_loss_mean: -0.28784891963005066 - loss_debug/policy_loss_min: -1.436065673828125 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.716158390045166 - loss_debug/ref_logprobs_min: -7.500553131103516 - loss_debug/ref_logprobs_std: 1.8149585723876953 - loss_debug/seq_len: 232.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 4.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.462233948521316 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.4383724573999643 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04760397085919976 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.047978486865758896 - main_perf/continuous_rollouts/total_duration_avg_s: 1.5525217454414815 - 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rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0028913673013448715 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0028913673013448715 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.019908465445041656 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.019908465445041656 - rl_trainer_perf/step/total_duration_avg_s: 0.1923504089936614 - rl_trainer_perf/step/total_duration_max_s: 0.1923504089936614 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:21:55 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:21:55 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:21:55 INFO Pushing weights for policy version 99 -[ReferenceModel-0/1] 2025-11-20 09:21:56 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:21:57 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:21:58 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:21:58 INFO Completed weights push in 2.87 seconds -[Generator-0/1] 2025-11-20 09:21:58 INFO [Generator] Fetching weights for v99 to shared memory -INFO 11-20 09:22:01 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:22:01 INFO Weight update completed (now v99) -[TRAINING] Step 98: Starting training - -================================================================================ -[ROLLOUT 352] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=98 - -================================================================================ -[ROLLOUT 353] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=98 - -================================================================================ -[ROLLOUT 354] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 6 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=98 - -================================================================================ -[ROLLOUT 355] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=98 -Dropping weights @ version 98 - -================================================================================ -[ROLLOUT 356] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 6 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:22:01 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[BUFFER ADD] Added 16/16 episodes with policy_v=98 -Dropped weights @ version 98, took 0.88 seconds -WandbBackend: Logged 127 metrics at step 99 -=== [global_reduce] - METRICS STEP 99 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 80.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 73.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.22535211267605634 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0018268218263983727 - buffer_perf/sample/total_duration_max_s: 0.0018268218263983727 - episode/total_tokens: 231.05633802816902 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.1267605633802817 - game/games_played: 71.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.4225352112676056 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 71.0 - generator/generate/count_sequences_completed: 71.0 - generator/generate/sum_tokens_generated: 639.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.556453874334693 - generator_perf/_fetch_weights/total_duration_max_s: 1.556453874334693 - generator_perf/generate/generate/duration_avg_s: 0.07611403586159292 - generator_perf/generate/generate/duration_max_s: 2.580995361328125 - generator_perf/generate/process_inputs/duration_avg_s: 0.0007733868168483317 - generator_perf/generate/process_inputs/duration_max_s: 0.000977952003479004 - generator_perf/generate/total_duration_avg_s: 0.07699219473546147 - generator_perf/generate/total_duration_max_s: 2.5819784013032914 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5540158851072192 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5540158851072192 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7227419009432197 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7227419009432197 - groups/rate_dropped: 0.0 - loss_debug/advantages_max: 1.0978341102600098 - loss_debug/advantages_mean: -0.06099078059196472 - loss_debug/advantages_min: -1.0978341102600098 - loss_debug/advantages_std: 1.0098228454589844 - loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.038824662566185 - loss_debug/final_loss: 0.09981545060873032 - loss_debug/kl_max: 6.001822471618652 - loss_debug/kl_mean: 0.3882465958595276 - loss_debug/kl_min: -5.960464477539063e-08 - loss_debug/kl_std: 1.2095547914505005 - loss_debug/logprob_diff_max: 1.1920926823449918e-07 - loss_debug/logprob_diff_mean: -0.52174311876297 - loss_debug/logprob_diff_min: -7.000911235809326 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -4.5531226078310283e-07 - loss_debug/logprobs_min: -7.986990567587782e-06 - loss_debug/logprobs_std: 1.350657839793712e-06 - loss_debug/num_trainable_tokens: 144.0 - loss_debug/per_token_loss_max: 1.6980164051055908 - loss_debug/per_token_loss_mean: 0.09981545060873032 - loss_debug/per_token_loss_min: -1.0978341102600098 - loss_debug/policy_loss_max: 1.0978341102600098 - loss_debug/policy_loss_mean: -0.060990769416093826 - loss_debug/policy_loss_min: -1.0978341102600098 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.5217435956001282 - loss_debug/ref_logprobs_min: -7.000911235809326 - loss_debug/ref_logprobs_std: 1.4876521825790405 - loss_debug/seq_len: 232.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 5.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.3042307129129767 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.347340256907046 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.047288349457085134 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.048438784666359425 - main_perf/continuous_rollouts/total_duration_avg_s: 1.3933164987713098 - main_perf/continuous_rollouts/total_duration_max_s: 3.4415153870359063 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.8835796862840652 - main_perf/continuous_training/drop_weights/duration_max_s: 0.8835796862840652 - main_perf/continuous_training/push_weights/duration_avg_s: 2.8712219214066863 - main_perf/continuous_training/push_weights/duration_max_s: 2.8712219214066863 - main_perf/continuous_training/total_duration_avg_s: 6.506098440848291 - main_perf/continuous_training/total_duration_max_s: 6.506098440848291 - main_perf/continuous_training/train_step/duration_avg_s: 0.19624070264399052 - main_perf/continuous_training/train_step/duration_max_s: 0.19624070264399052 - main_perf/continuous_training/update_weights/duration_avg_s: 2.550917682237923 - main_perf/continuous_training/update_weights/duration_max_s: 2.550917682237923 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.004136345349252224 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.004136345349252224 - reference_perf/forward/avg_sequence_length: 232.0 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.017996203154325485 - reference_perf/forward/compute_logprobs/duration_max_s: 0.018085080198943615 - reference_perf/forward/count_forward_passes: 5.0 - reference_perf/forward/forward/duration_avg_s: 0.015638694539666174 - reference_perf/forward/forward/duration_max_s: 0.01579509675502777 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0004131307825446129 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004522958770394325 - reference_perf/forward/memory_delta_end_start_avg_gb: 1.0505619049072266 - reference_perf/forward/memory_peak_max_gb: 10.120736122131348 - reference_perf/forward/to_device/duration_avg_s: 0.00011757221072912216 - reference_perf/forward/to_device/duration_max_s: 0.00012602098286151886 - reference_perf/forward/total_duration_avg_s: 0.03416772354394197 - reference_perf/forward/total_duration_max_s: 0.03420311491936445 - rl_trainer/avg_loss: 0.09981545060873032 - rl_trainer/learning_rate: 9.029029029029029e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006418144330382347 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006418144330382347 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005393587052822113 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005393587052822113 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.8693941198289394 - rl_trainer_perf/push_weights/total_duration_max_s: 2.8693941198289394 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.868209441192448 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.868209441192448 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.17122627794742584 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.17122627794742584 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0032157786190509796 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0032157786190509796 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01829800382256508 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01829800382256508 - rl_trainer_perf/step/total_duration_avg_s: 0.19274252373725176 - rl_trainer_perf/step/total_duration_max_s: 0.19274252373725176 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:22:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:22:02 INFO Pushing weights for policy version 100 -[ReferenceModel-0/1] 2025-11-20 09:22:02 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:22:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:22:04 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:22:05 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:22:05 INFO Completed weights push in 3.14 seconds -[Generator-0/1] 2025-11-20 09:22:05 INFO [Generator] Fetching weights for v100 to shared memory -INFO 11-20 09:22:08 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:22:08 INFO Weight update completed (now v100) -[TRAINING] Step 99: Starting training - -================================================================================ -[ROLLOUT 357] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=99 - -================================================================================ -[ROLLOUT 358] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=99 - -================================================================================ -[ROLLOUT 359] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=99 - -================================================================================ -[ROLLOUT 360] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=99 -Dropping weights @ version 99 -Dropped weights @ version 99, took 0.71 seconds -WandbBackend: Logged 127 metrics at step 100 -=== [global_reduce] - METRICS STEP 100 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 70.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.19753086419753085 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.001780761405825615 - buffer_perf/sample/total_duration_max_s: 0.001780761405825615 - episode/total_tokens: 231.06756756756758 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.1891891891891892 - game/games_played: 74.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.3918918918918919 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 74.0 - generator/generate/count_sequences_completed: 75.0 - generator/generate/sum_tokens_generated: 675.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.6067777583375573 - generator_perf/_fetch_weights/total_duration_max_s: 1.6067777583375573 - generator_perf/generate/generate/duration_avg_s: 0.07541216100056966 - generator_perf/generate/generate/duration_max_s: 2.638355224609375 - generator_perf/generate/process_inputs/duration_avg_s: 0.0009275780191924423 - generator_perf/generate/process_inputs/duration_max_s: 0.005176191806793213 - generator_perf/generate/total_duration_avg_s: 0.07649635768579628 - generator_perf/generate/total_duration_max_s: 2.6395949046388267 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5756430188193917 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5756430188193917 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7495363149791956 - 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-================================================================================ -[ROLLOUT 361] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[TRAINING] Step 100: Starting training -[BUFFER ADD] Added 16/16 episodes with policy_v=99 - -================================================================================ -[ROLLOUT 362] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=100 - -================================================================================ -[ROLLOUT 363] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 17, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 17, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=100 - -================================================================================ -[ROLLOUT 364] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=100 -Dropping weights @ version 100 - -================================================================================ -[ROLLOUT 365] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:22:15 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[BUFFER ADD] Added 16/16 episodes with policy_v=100 -Dropped weights @ version 100, took 0.91 seconds -WandbBackend: Logged 127 metrics at step 101 -=== [global_reduce] - METRICS STEP 101 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 80.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 73.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.2222222222222222 - buffer/sample/avg_sampled_policy_age: 1.0 - 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rl_trainer_perf/step/total_duration_max_s: 0.1942960610613227 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:22:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:22:15 INFO Pushing weights for policy version 102 -[ReferenceModel-0/1] 2025-11-20 09:22:16 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:22:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:22:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:22:18 INFO Completed weights push in 2.77 seconds -[Generator-0/1] 2025-11-20 09:22:18 INFO [Generator] Fetching weights for v102 to shared memory -INFO 11-20 09:22:21 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:22:21 INFO Weight update completed (now v102) -[ReferenceModel-0/1] 2025-11-20 09:22:21 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 101: Starting training - -================================================================================ -[ROLLOUT 366] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=101 - -================================================================================ -[ROLLOUT 367] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 14, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 14, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=101 - -================================================================================ -[ROLLOUT 368] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=101 -Dropping weights @ version 101 - -================================================================================ -[ROLLOUT 369] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=101 -Dropped weights @ version 101, took 0.82 seconds -WandbBackend: Logged 127 metrics at step 102 -=== [global_reduce] - METRICS STEP 102 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 64.0 - buffer/episodes_accepted: 64.0 - buffer/episodes_generated: 64.0 - buffer/evict/sum_episodes_evicted: 74.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.20512820512820512 - buffer/sample/avg_sampled_policy_age: 0.875 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0018589003011584282 - buffer_perf/sample/total_duration_max_s: 0.0018589003011584282 - episode/total_tokens: 231.1 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.2857142857142857 - game/games_played: 70.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.32857142857142857 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 70.0 - generator/generate/count_sequences_completed: 70.0 - generator/generate/sum_tokens_generated: 630.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.5378220034763217 - generator_perf/_fetch_weights/total_duration_max_s: 1.5378220034763217 - generator_perf/generate/generate/duration_avg_s: 0.07678968941824779 - generator_perf/generate/generate/duration_max_s: 2.583487060546875 - generator_perf/generate/process_inputs/duration_avg_s: 0.0008203177104038849 - generator_perf/generate/process_inputs/duration_max_s: 0.0012868160009384154 - generator_perf/generate/total_duration_avg_s: 0.07771119341508019 - generator_perf/generate/total_duration_max_s: 2.5848148365691306 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.5007039457559586 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.5007039457559586 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7589371893554926 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7589371893554926 - groups/rate_dropped: 0.0 - loss_debug/advantages_max: 2.015439510345459 - loss_debug/advantages_mean: -0.034135088324546814 - loss_debug/advantages_min: -0.9681990146636963 - loss_debug/advantages_std: 1.033379077911377 - loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.053648851811885834 - loss_debug/final_loss: 0.08778396993875504 - loss_debug/kl_max: 6.501105785369873 - loss_debug/kl_mean: 0.5364885330200195 - loss_debug/kl_min: -5.960464477539063e-08 - loss_debug/kl_std: 1.5125991106033325 - loss_debug/logprob_diff_max: 0.0 - loss_debug/logprob_diff_mean: -0.6972326040267944 - loss_debug/logprob_diff_min: -7.500553131103516 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -4.5696782535742386e-07 - loss_debug/logprobs_min: -9.417489309271332e-06 - loss_debug/logprobs_std: 1.4176671356835868e-06 - loss_debug/num_trainable_tokens: 144.0 - loss_debug/per_token_loss_max: 1.5683813095092773 - loss_debug/per_token_loss_mean: 0.08778393268585205 - loss_debug/per_token_loss_min: -2.015439510345459 - loss_debug/policy_loss_max: 2.015439510345459 - loss_debug/policy_loss_mean: -0.03413509577512741 - loss_debug/policy_loss_min: -0.9681990146636963 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.6972330212593079 - loss_debug/ref_logprobs_min: -7.500553131103516 - loss_debug/ref_logprobs_std: 1.8113811016082764 - loss_debug/seq_len: 232.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 4.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.4324597294908017 - main_perf/continuous_rollouts/play_games/duration_max_s: 3.3588414266705513 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.04671923886053264 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.04703530576080084 - main_perf/continuous_rollouts/total_duration_avg_s: 1.5223688569385558 - main_perf/continuous_rollouts/total_duration_max_s: 3.452887250110507 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.822363244369626 - main_perf/continuous_training/drop_weights/duration_max_s: 0.822363244369626 - main_perf/continuous_training/push_weights/duration_avg_s: 2.7753905495628715 - main_perf/continuous_training/push_weights/duration_max_s: 2.7753905495628715 - main_perf/continuous_training/total_duration_avg_s: 6.395951768383384 - main_perf/continuous_training/total_duration_max_s: 6.395951768383384 - main_perf/continuous_training/train_step/duration_avg_s: 0.20550883375108242 - main_perf/continuous_training/train_step/duration_max_s: 0.20550883375108242 - main_perf/continuous_training/update_weights/duration_avg_s: 2.5885119726881385 - main_perf/continuous_training/update_weights/duration_max_s: 2.5885119726881385 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0041749849915504456 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0041749849915504456 - reference_perf/forward/avg_sequence_length: 232.0 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.017949008382856846 - reference_perf/forward/compute_logprobs/duration_max_s: 0.018179171718657017 - reference_perf/forward/count_forward_passes: 4.0 - reference_perf/forward/forward/duration_avg_s: 0.015693293884396553 - reference_perf/forward/forward/duration_max_s: 0.016108931973576546 - reference_perf/forward/garbage_collection/duration_avg_s: 0.00041865697130560875 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004459759220480919 - reference_perf/forward/memory_delta_end_start_avg_gb: 1.0505619049072266 - reference_perf/forward/memory_peak_max_gb: 10.120736122131348 - reference_perf/forward/to_device/duration_avg_s: 0.00011837738566100597 - reference_perf/forward/to_device/duration_max_s: 0.00012840516865253448 - reference_perf/forward/total_duration_avg_s: 0.034181359224021435 - reference_perf/forward/total_duration_max_s: 0.03424615040421486 - rl_trainer/avg_loss: 0.08778396993875504 - rl_trainer/learning_rate: 8.998998998999e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006347335875034332 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006347335875034332 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005281716585159302 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005281716585159302 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.7734848484396935 - rl_trainer_perf/push_weights/total_duration_max_s: 2.7734848484396935 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.7723191985860467 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.7723191985860467 - rl_trainer_perf/step/forward_backward/duration_avg_s: 0.18036565463989973 - rl_trainer_perf/step/forward_backward/duration_max_s: 0.18036565463989973 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 8.344650268554688e-05 - rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003146214410662651 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003146214410662651 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.01766277849674225 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.01766277849674225 - rl_trainer_perf/step/total_duration_avg_s: 0.20117715187370777 - rl_trainer_perf/step/total_duration_max_s: 0.20117715187370777 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:22:21 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:22:22 INFO Pushing weights for policy version 103 -[ReferenceModel-0/1] 2025-11-20 09:22:22 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:22:23 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:22:24 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:22:24 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:22:25 INFO Completed weights push in 2.91 seconds -[Generator-0/1] 2025-11-20 09:22:25 INFO [Generator] Fetching weights for v103 to shared memory -INFO 11-20 09:22:27 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:22:27 INFO Weight update completed (now v103) -[TRAINING] Step 102: Starting training - -================================================================================ -[ROLLOUT 370] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: Ace - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: Ace<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=102 - -================================================================================ -[ROLLOUT 371] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 4 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 4<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=102 - -================================================================================ -[ROLLOUT 372] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 6 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 6<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=102 - -================================================================================ -[ROLLOUT 373] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 13, Dealer: 7 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 13, Dealer: 7<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=102 -Dropping weights @ version 102 - -================================================================================ -[ROLLOUT 374] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 18, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 18, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ -[ReferenceModel-0/1] 2025-11-20 09:22:28 INFO [GC] Performing periodic GC collection took 0.00 seconds - -[BUFFER ADD] Added 16/16 episodes with policy_v=102 -Dropped weights @ version 102, took 0.89 seconds -WandbBackend: Logged 127 metrics at step 103 -=== [global_reduce] - METRICS STEP 103 === - buffer/acceptance_rate: 1.0 - buffer/add/count_episodes_added: 80.0 - buffer/episodes_accepted: 80.0 - buffer/episodes_generated: 80.0 - buffer/evict/sum_episodes_evicted: 67.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 0.21333333333333335 - buffer/sample/avg_sampled_policy_age: 0.9375 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0020928047597408295 - buffer_perf/sample/total_duration_max_s: 0.0020928047597408295 - episode/total_tokens: 231.1267605633803 - episode/turns: 1.0 - game/average_turns: 1.0 - game/env_reward: -0.22535211267605634 - game/games_played: 71.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.36619718309859156 - generator/generate/avg_tokens_generated: 9.0 - generator/generate/count_requests: 71.0 - generator/generate/count_sequences_completed: 72.0 - generator/generate/sum_tokens_generated: 648.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.628704136237502 - generator_perf/_fetch_weights/total_duration_max_s: 1.628704136237502 - generator_perf/generate/generate/duration_avg_s: 0.076969851758745 - generator_perf/generate/generate/duration_max_s: 2.624591552734375 - 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rl_trainer_perf/step/total_duration_avg_s: 0.20298541523516178 - rl_trainer_perf/step/total_duration_max_s: 0.20298541523516178 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:22:28 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:22:28 INFO Pushing weights for policy version 104 -[ReferenceModel-0/1] 2025-11-20 09:22:29 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:22:30 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:22:31 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:22:31 INFO Completed weights push in 2.95 seconds -[Generator-0/1] 2025-11-20 09:22:31 INFO [Generator] Fetching weights for v104 to shared memory -INFO 11-20 09:22:34 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 09:22:34 INFO Weight update completed (now v104) -[ReferenceModel-0/1] 2025-11-20 09:22:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 103: Starting training - -================================================================================ -[ROLLOUT 375] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 19, Dealer: 2 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 19, Dealer: 2<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=103 - -================================================================================ -[ROLLOUT 376] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 15, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 15, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=103 - -================================================================================ -[ROLLOUT 377] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 20, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 20, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=103 -Dropping weights @ version 103 - -================================================================================ -[ROLLOUT 378] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 230, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 5, Dealer: 5 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 5, Dealer: 5<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=103 -Dropped weights @ version 103, took 0.82 seconds -WandbBackend: Logged 127 metrics at step 104 -=== [global_reduce] - 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rl_trainer_perf/step/memory_peak_max_gb: 17.175230979919434 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.002914763055741787 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.002914763055741787 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.02073489036411047 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.02073489036411047 - rl_trainer_perf/step/total_duration_avg_s: 0.19272265397012234 - rl_trainer_perf/step/total_duration_max_s: 0.19272265397012234 -============================== - -[TitanTrainer-0/1] 2025-11-20 09:22:35 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:22:35 INFO Pushing weights for policy version 105 -[ReferenceModel-0/1] 2025-11-20 09:22:35 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:22:36 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:22:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 09:22:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 09:22:38 INFO Completed weights push in 2.86 seconds -[Generator-0/1] 2025-11-20 09:22:38 INFO [Generator] Fetching weights for v105 to shared memory -Traceback (most recent call last): - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run -Traceback (most recent call last): - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run -Traceback (most recent call last): - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run -Traceback (most recent call last): - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run -INFO: Shutting down -INFO: Waiting for application shutdown. -INFO: Application shutdown complete. -INFO: Finished server process [163517] -[TRAINING] Step 104: Starting training - -================================================================================ -[ROLLOUT 379] Episode 0 Debug Info -================================================================================ -Reward: 3.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 12, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 12, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=104 - -================================================================================ -[ROLLOUT 380] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 16, Dealer: 3 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 16, Dealer: 3<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=104 - -================================================================================ -[ROLLOUT 381] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 231, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 11, Dealer: 8 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 11, Dealer: 8<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=104 - -================================================================================ -[ROLLOUT 382] Episode 0 Debug Info -================================================================================ -Reward: -1.0, Truncated: False, Turns: 1 -Total tokens: 232, Trainable tokens: 9 - ---- Messages --- - [0] system : You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without goi... - [1] user : Hand: 10, Dealer: 10 - [2] assistant : STAND - ---- Decoded all_token_ids --- -<|im_start|>system -You are an expert Blackjack player. - -GOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting). - -RULES: -- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value -- If you go over 21, you bust and lose immediately -- The dealer plays after you and must hit until reaching 17+ - -ACTIONS: -- HIT: Take another card (increases your hand total) -- STAND: Keep your current hand and end your turn - -WIN CONDITIONS: -- Your hand is closer to 21 than the dealer's final hand -- Dealer busts (goes over 21) and you don't -- You get exactly 21 - -IMPORTANT: You MUST output your action in the following format: -HIT or STAND<|im_end|> -<|im_start|>user -Hand: 10, Dealer: 10<|im_end|> -<|im_start|>assistant - - - - -STAND<|im_end|> - -================================================================================ - - ---- decoded_response_text --- -STAND<|im_end|> -================================================================================ - -[BUFFER ADD] Added 16/16 episodes with policy_v=104 -Shutting down... (this may take a few seconds) -Timeout waiting for rollouts; forcing cancellation... -Shutting down Forge actors... -Shutting down metric logger... -Metric logging fetcher shutdown timed out likely due to the child process being terminated before the parent. -wandb: uploading history steps 102-102, summary, console lines 34839-35241; updating run metadata -wandb: uploading history steps 103-103, summary, console lines 35242-35242 -wandb: -wandb: Run history: -wandb: buffer/acceptance_rate ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ -wandb: buffer/add/count_episodes_added █▂▂▁▁▁▁▁▁▁▁▁▁▁▂▁▃▂▂▂▂▁▂▃▃▃▂▂▂▃▃▂▂▂▂▂▃▂▃▃ -wandb: buffer/episodes_accepted ▄▅▅▂▂▁▁▁▁▂▂▁▂▁▁▄▁▇▄▄▄▄▄▄▅██▅▅▇▅▅▇▅▅▇▅▅▅▅ -wandb: buffer/episodes_generated █▁▂▂▂▁▁▁▁▁▁▁▁▁▂▁▁▁▂▁▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ -wandb: buffer/evict/sum_episodes_evicted ▁█▂▂▂▂▁▁▁▁▁▁▁▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ -wandb: buffer/rate_rejected_truncated ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ -wandb: buffer/sample/avg_data_utilization ▁▂▂▄▄█▇▆▆▅██▄▃▆▃▂▃▃▃▃▃▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂▂ -wandb: buffer/sample/avg_sampled_policy_age ▇▆██▆▄▃███▃█▁██▇▆█▆███▇▇█▆█▇▇▇▆▆▆█▇█▆█▆▆ -wandb: buffer/sample/count_sample_requests ▆▁▁▁▁▂▃▁▄▂▁▁▁█▄▁▆▁▁▂▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ -wandb: buffer/sample/max_sampled_policy_age ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁ -wandb: +120 ... -wandb: -wandb: Run summary: -wandb: buffer/acceptance_rate 1 -wandb: buffer/add/count_episodes_added 64 -wandb: buffer/episodes_accepted 64 -wandb: buffer/episodes_generated 64 -wandb: buffer/evict/sum_episodes_evicted 71 -wandb: buffer/rate_rejected_truncated 0 -wandb: buffer/sample/avg_data_utilization 0.19048 -wandb: buffer/sample/avg_sampled_policy_age 0.8125 -wandb: buffer/sample/count_sample_requests 1 -wandb: buffer/sample/max_sampled_policy_age 1 -wandb: +120 ... -wandb: -wandb: 🚀 View run stilted-darkness-75 at: https://wandb.ai/cabernet-team/blackjack-grpo/runs/ju39r27c -wandb: ⭐️ View project at: https://wandb.ai/cabernet-team/blackjack-grpo -wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s) -wandb: Find logs at: ./wandb/run-20251120_090730-ju39r27c/logs -WandbBackend global_reduce: Finished run -Shutting down provisioner.. -Shutting down 2 service(s) and 4 actor(s)... -Health loop stopped gracefully. -Traceback (most recent call last): - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run - return self._loop.run_until_complete(task) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete - return future.result() - ^^^^^^^^^^^^^^^ - File "/home/felipemello/forge/apps/blackjack/main_v2.py", line 1934, in main - await training_task - File "/home/felipemello/forge/apps/blackjack/main_v2.py", line 1908, in continuous_training - await policy.update_weights.fanout(training_step) - File "/home/felipemello/forge/src/forge/controller/service/interface.py", line 101, in fanout - result = await self.service.call_all(self.endpoint_name, *args, **kwargs) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/home/felipemello/forge/src/forge/controller/service/service.py", line 231, in call_all - result = await request.future - ^^^^^^^^^^^^^^^^^^^^ -asyncio.exceptions.CancelledError - -During handling of the above exception, another exception occurred: - -Traceback (most recent call last): - File "", line 198, in _run_module_as_main - File "", line 88, in _run_code - File "/home/felipemello/forge/apps/blackjack/main_v2.py", line 1986, in - _main() # @parse grabs the cfg from CLI - ^^^^^^^ - File "/home/felipemello/forge/src/forge/util/config.py", line 313, in wrapper - sys.exit(recipe_main(conf)) - ^^^^^^^^^^^^^^^^^ - File "/home/felipemello/forge/apps/blackjack/main_v2.py", line 1984, in _main - asyncio.run(main(cfg)) - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 195, in run - return runner.run(main) - ^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 123, in run - raise KeyboardInterrupt() -KeyboardInterrupt -⚠ Forge shutdown timed out after 10s, forcing exit... -Stopping 1 OpenSpiel servers... -✓ All OpenSpiel servers stopped diff --git a/out21.txt b/out21.txt deleted file mode 100644 index 021e6fbc0..000000000 --- a/out21.txt +++ /dev/null @@ -1,273 +0,0 @@ -Warning: setting HYPERACTOR_CODEC_MAX_FRAME_LENGTH since this needs to be set to enable large RPC calls via Monarch -INFO 11-17 20:21:45 [__init__.py:235] Automatically detected platform cuda. -Model: Qwen/Qwen3-1.7B -EOS token: <|im_end|> (id=151645) -Spawning service Generator -Launcher not provided, remote allocations will not work. -INFO 11-17 20:21:55 [__init__.py:235] Automatically detected platform cuda. -`torch_dtype` is deprecated! Use `dtype` instead! -INFO 11-17 20:22:02 [config.py:1604] Using max model len 2048 -INFO 11-17 20:22:03 [config.py:2434] Chunked prefill is enabled with max_num_batched_tokens=16384. -INFO 11-17 20:22:05 [__init__.py:235] Automatically detected platform cuda. -WARNING 11-17 20:22:06 [multiproc_worker_utils.py:307] Reducing Torch parallelism from 192 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. -[W1117 20:22:10.473923048 ProcessGroupNCCL.cpp:924] Warning: TORCH_NCCL_AVOID_RECORD_STREAMS is the default now, this environment variable is thus deprecated. (function operator()) -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -INFO 11-17 20:22:11 [parallel_state.py:1102] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 -WARNING 11-17 20:22:11 [topk_topp_sampler.py:59] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer. -INFO 11-17 20:22:11 [gpu_model_runner.py:1843] Starting to load model Qwen/Qwen3-1.7B... -INFO 11-17 20:22:11 [gpu_model_runner.py:1875] Loading model from scratch... -INFO 11-17 20:22:11 [cuda.py:290] Using Flash Attention backend on V1 engine. -INFO 11-17 20:22:11 [weight_utils.py:296] Using model weights format ['*.safetensors'] - Loading safetensors checkpoint shards: 0% Completed | 0/2 [00:00 user -> assistant (COMPLETE) -===== -Response text: '\nOkay, the user said, "Just reply to me with \'hi\'. Do not think about it." So I need to respond with \'hi\' without any additional thoughts.\n\nFirst, I should confirm that I understand the instruction. The user wants a simple reply. Maybe they\'re testing if I follow instructions or want a quick response. I should keep it straightforward.\n\nI need to make sure there\'s no extra text. Just the word \'hi\'. No explanations or anything else. Let me check the previous messages to see if there\'s any context, but since the user didn\'t provide any, I\'ll go with the basic response.\n\nAlright, the reply is \'hi\'.\n\n\nhi' -Stop reason: stop -Last token == EOS: True - -Episode accepted: True, Is truncated: False, Truncation reason: None - ------ -DECODED CONVERSATION: ------ -<|im_start|>system -You are a helpful assistant.<|im_end|> -<|im_start|>user -Just reply to me with 'hi'. Do not think about it.<|im_end|> -<|im_start|>assistant - -Okay, the user said, "Just reply to me with 'hi'. Do not think about it." So I need to respond with 'hi' without any additional thoughts. - -First, I should confirm that I understand the instruction. The user wants a simple reply. Maybe they're testing if I follow instructions or want a quick response. I should keep it straightforward. - -I need to make sure there's no extra text. Just the word 'hi'. No explanations or anything else. Let me check the previous messages to see if there's any context, but since the user didn't provide any, I'll go with the basic response. - -Alright, the reply is 'hi'. - - -hi<|im_end|> - ------ -Total tokens: 175 -✅ FINALIZE PASSED - -===== -TEST 2: prompt -> user -> assistant-truncated (DROPPED) -===== -Response text: '' -Stop reason: length -Last token == EOS: False - -Episode accepted: False, Is truncated: True, Truncation reason: TruncationReason.AGENT_TOO_LONG -Remaining budget after truncation: 2015 -Current tokens: 30, max_seq_len: 2048 -DECODED CONVERSATION (what was accumulated BEFORE drop): ------ <|im_start|>system -You are a helpful assistant.<|im_end|> -<|im_start|>user -Just reply to me with 'hi'. Do not think about it.<|im_end|> - ----- -✅ PASS: Total tokens in accumulator: 30 (only initial messages) - -===== -TEST 3: prompt -> user -> assistant -> user (COMPLETE MULTI-TURN) -===== - -Turn 1: - Response: '\nOkay, the user said, "Just reply to me with \'hi\'. Do not think about it." So I need to respond with \'hi\' without any additional thoughts.\n\nFirst, I should confirm that I understand the instruction. The user wants a simple reply. Maybe they\'re testing if I follow instructions or want a quick response. I should keep it straightforward.\n\nI need to make sure there\'s no extra text. Just the word \'hi\'. No explanations or anything else. Let me check the previous messages to see if there\'s any context, but since the user didn\'t provide any, I\'ll go with the basic response.\n\nAlright, the reply is \'hi\'.\n\n\nhi' - Tokens: 141 - Stop reason: stop - Last token == EOS: True - ------ -DECODED CONVERSATION (after turn 1 attempt): ------ -<|im_start|>system -You are a helpful assistant.<|im_end|> -<|im_start|>user -Just reply to me with 'hi'. Do not think about it.<|im_end|> -<|im_start|>assistant - -Okay, the user said, "Just reply to me with 'hi'. Do not think about it." So I need to respond with 'hi' without any additional thoughts. - -First, I should confirm that I understand the instruction. The user wants a simple reply. Maybe they're testing if I follow instructions or want a quick response. I should keep it straightforward. - -I need to make sure there's no extra text. Just the word 'hi'. No explanations or anything else. Let me check the previous messages to see if there's any context, but since the user didn't provide any, I'll go with the basic response. - -Alright, the reply is 'hi'. - - -hi<|im_end|> - ------ - -Turn 2: - -FINAL DECODED CONVERSATION: ------ -<|im_start|>system -You are a helpful assistant.<|im_end|> -<|im_start|>user -Just reply to me with 'hi'. Do not think about it.<|im_end|> -<|im_start|>assistant - -Okay, the user said, "Just reply to me with 'hi'. Do not think about it." So I need to respond with 'hi' without any additional thoughts. - -First, I should confirm that I understand the instruction. The user wants a simple reply. Maybe they're testing if I follow instructions or want a quick response. I should keep it straightforward. - -I need to make sure there's no extra text. Just the word 'hi'. No explanations or anything else. Let me check the previous messages to see if there's any context, but since the user didn't provide any, I'll go with the basic response. - -Alright, the reply is 'hi'. - - -hi<|im_end|> -<|im_start|>user -Now say 'bye'.<|im_end|> - ------ - Total tokens in accumulator: 185 -✅ Thinking tags are balanced (1 pairs) - -❌ ERRORS FOUND: - - FINALIZE FAILED: Token count mismatch: 185 accumulated vs 46 ground truth (diff: -139). This happens when chat template modifies history. - -===== -TEST 4: prompt -> user -> assistant -> user-truncated (DROPPED) -===== - -Turn 1 - Remaining budget before generation: 147 - Response: '\nOkay, the user said, "Just reply to me with \'hi\'. Do not think about it." So I need to respond with \'hi\' without any additional thoughts.\n\nFirst, I should confirm that I understand the instruction. The user wants a simple reply. Maybe they\'re testing if I follow instructions or want a quick response. I should keep it straightforward.\n\nI need to make sure there\'s no extra text. Just the word \'hi\'. No explanations or anything else. Let me check the previous messages to see if there\'s any context, but since the user didn\'t provide any, I\'ll go with the basic response.\n\nAlright, the reply is \'hi\'.\n\n\nhi' - Tokens: 141 - Stop reason: stop - Last token == EOS: True -TOTAL TOKENS IN ACCUMULATOR: 175 -get_remaining_budget: 2 -max_seq_len: 180 - -User message accepted: False, Is truncated: True, Truncation reason: TruncationReason.USER_TOO_LONG -Remaining budget after user truncation: 0 -Current tokens: 177, max_seq_len: 180 - -DECODED CONVERSATION (what was accumulated before/during truncation): -<|im_start|>system -You are a helpful assistant.<|im_end|> -<|im_start|>user -Just reply to me with 'hi'. Do not think about it.<|im_end|> -<|im_start|>assistant - -Okay, the user said, "Just reply to me with 'hi'. Do not think about it." So I need to respond with 'hi' without any additional thoughts. - -First, I should confirm that I understand the instruction. The user wants a simple reply. Maybe they're testing if I follow instructions or want a quick response. I should keep it straightforward. - -I need to make sure there's no extra text. Just the word 'hi'. No explanations or anything else. Let me check the previous messages to see if there's any context, but since the user didn't provide any, I'll go with the basic response. - -Alright, the reply is 'hi'. - - -hi<|im_end|> -<|im_start|>user ------ - Total tokens in accumulator: 177 -✅ PASS: Episode correctly marked as truncated -✅ PASS: Budget respected (177 <= 180) - -===== -TEST 5: Initial messages > max_seq_len -===== -Initial tokens: 50, max_seq_len: 50 -is_truncated: True -truncation_reason: TruncationReason.USER_TOO_LONG -Remaining budget: 0 - -DECODED CONVERSATION: ------ -<|im_start|>system -You are helpful. You are helpful. You are helpful. You are helpful. You are helpful. You are helpful. You are helpful. You are helpful. You are helpful. You are helpful. You are helpful. You are helpful ------ -✅ PASS: Initial messages correctly truncated - Note: Remaining budget = 0 (may be >0 due to overhead calculation) - -===== -TEST 6: Add user message with budget=0 -===== -Initial: 100 tokens, budget: 0 -After add_user: 100 tokens -success: False, is_truncated: True -Remaining budget after attempt: 0 - -DECODED CONVERSATION: ------ -<|im_start|>system -You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.YouINFO 11-17 20:22:42 [__init__.py:235] Automatically detected platform cuda. - ------ -✅ PASS: User message correctly rejected/truncated with zero budget - -===== -TEST 7: Add assistant message with budget=0 -===== -Initial: 100 tokens, budget: 0 -After add_assistant: 100 tokens -success: False -Remaining budget after attempt: 0 - -DECODED CONVERSATION: ------ -<|im_start|>system -You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You are helpful.You ------ -✅ PASS: Assistant message handled correctly with zero budget - -===== -SUMMARY -===== -✅ PASS: Test 1 (complete) -✅ PASS: Test 2 (truncated-drop) -❌ FAIL: Test 3 (multi-turn) -✅ PASS: Test 4 (multi-turn-truncated-drop) -✅ PASS: Test 5 (initial-too-long) -✅ PASS: Test 6 (zero-budget-user) -✅ PASS: Test 7 (zero-budget-assistant) - -===== -❌❌❌ SOME TESTS FAILED ❌❌❌ - -Please check the output above for details -===== diff --git a/out3.txt b/out3.txt deleted file mode 100644 index c42a817f8..000000000 --- a/out3.txt +++ /dev/null @@ -1,1949 +0,0 @@ -Warning: setting HYPERACTOR_CODEC_MAX_FRAME_LENGTH since this needs to be set to enable large RPC calls via Monarch -INFO 11-20 14:04:03 [__init__.py:235] Automatically detected platform cuda. -Using game string: blackjack -[SERVER] Starting uvicorn for game 'blackjack' on port 9000 -INFO: Started server process [608036] -INFO: Waiting for application startup. -INFO: Application startup complete. -INFO: Uvicorn running on http://0.0.0.0:9000 (Press CTRL+C to quit) -✓ Started 1 OpenSpiel server(s) -Launcher not provided, remote allocations will not work. -wandb: Currently logged in as: felipemello (cabernet-team) to https://api.wandb.ai. Use `wandb login --relogin` to force relogin -wandb: setting up run ae4ah9u2 -wandb: Tracking run with wandb version 0.23.0 -wandb: Run data is saved locally in /home/felipemello/forge/wandb/run-20251120_140408-ae4ah9u2 -wandb: Run `wandb offline` to turn off syncing. -wandb: Syncing run genial-monkey-94 -wandb: ⭐️ View project at https://wandb.ai/cabernet-team/blackjack-grpo -wandb: 🚀 View run at https://wandb.ai/cabernet-team/blackjack-grpo/runs/ae4ah9u2 -wandb: Detected [openai] in use. -wandb: Use W&B Weave for improved LLM call tracing. Install Weave with `pip install weave` then add `import weave` to the top of your script. -wandb: For more information, check out the docs at: https://weave-docs.wandb.ai/ -Spawning service Generator -Spawning actor TitanTrainer -Spawning actor ReplayBuffer -Spawning actor ComputeAdvantages -Spawning service ReferenceModel -[TitanTrainer-0/1] 2025-11-20 14:04:19 INFO Compiling loss -[TitanTrainer-0/1] 2025-11-20 14:04:21 INFO Building 0-D device mesh with [], [] -[TitanTrainer-0/1] 2025-11-20 14:04:21 INFO [GC] Initial GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 14:04:22 INFO Total parameter count: dense 2,031,739,904, sparse 0, active 2,031,739,904 -[TitanTrainer-0/1] 2025-11-20 14:04:22 INFO Applied selective activation checkpointing to the model -NCCL version 2.27.5+cuda12.9 -[TitanTrainer-0/1] 2025-11-20 14:04:22 INFO Checkpointing active. Checkpoints will be loaded from and saved to ./checkpoint -[TitanTrainer-0/1] 2025-11-20 14:04:22 INFO Mixed precision training is handled by AMP -[TitanTrainer-0/1] 2025-11-20 14:04:22 INFO loading from HF safetensors from --checkpoint.initial_load_path: /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e -[TitanTrainer-0/1] 2025-11-20 14:04:22 INFO Loading the checkpoint from /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e. -[TitanTrainer-0/1] 2025-11-20 14:04:23 INFO [GC] GC collection for checkpoint loading. took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 14:04:23 INFO Finished loading the checkpoint in 0.85 seconds. -INFO 11-20 14:04:25 [__init__.py:235] Automatically detected platform cuda. -[ReferenceModel-0/1] 2025-11-20 14:04:26 INFO Building 0-D device mesh with [], [] -[ReferenceModel-0/1] 2025-11-20 14:04:26 INFO [GC] Initial GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:04:27 INFO Total parameter count: dense 2,031,739,904, sparse 0, active 2,031,739,904 -[ReferenceModel-0/1] 2025-11-20 14:04:27 INFO Applied selective activation checkpointing to the model -NCCL version 2.27.5+cuda12.9 -[ReferenceModel-0/1] 2025-11-20 14:04:27 INFO Checkpointing active. Checkpoints will be loaded from and saved to -[ReferenceModel-0/1] 2025-11-20 14:04:27 INFO Mixed precision training is handled by AMP -[ReferenceModel-0/1] 2025-11-20 14:04:27 INFO loading from HF safetensors from --checkpoint.initial_load_path: /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e -[ReferenceModel-0/1] 2025-11-20 14:04:27 INFO Loading the checkpoint from /home/felipemello/.cache/huggingface/hub/models--Qwen--Qwen3-1.7B/snapshots/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e. -[ReferenceModel-0/1] 2025-11-20 14:04:28 INFO [GC] GC collection for checkpoint loading. took 0.04 seconds -[ReferenceModel-0/1] 2025-11-20 14:04:28 INFO Finished loading the checkpoint in 0.74 seconds. -`torch_dtype` is deprecated! Use `dtype` instead! -INFO 11-20 14:04:33 [config.py:1604] Using max model len 40960 -INFO 11-20 14:04:33 [config.py:2434] Chunked prefill is enabled with max_num_batched_tokens=16384. -INFO 11-20 14:04:35 [__init__.py:235] Automatically detected platform cuda. -WARNING 11-20 14:04:36 [multiproc_worker_utils.py:307] Reducing Torch parallelism from 192 threads to 1 to avoid unnecessary CPU contention. Set OMP_NUM_THREADS in the external environment to tune this value as needed. -[W1120 14:04:39.901188155 ProcessGroupNCCL.cpp:924] Warning: TORCH_NCCL_AVOID_RECORD_STREAMS is the default now, this environment variable is thus deprecated. (function operator()) -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 -INFO 11-20 14:04:39 [parallel_state.py:1102] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0, EP rank 0 -WARNING 11-20 14:04:39 [topk_topp_sampler.py:59] FlashInfer is not available. Falling back to the PyTorch-native implementation of top-p & top-k sampling. For the best performance, please install FlashInfer. -INFO 11-20 14:04:39 [gpu_model_runner.py:1843] Starting to load model Qwen/Qwen3-1.7B... -INFO 11-20 14:04:39 [gpu_model_runner.py:1875] Loading model from scratch... -INFO 11-20 14:04:39 [cuda.py:290] Using Flash Attention backend on V1 engine. -INFO 11-20 14:04:39 [weight_utils.py:296] Using model weights format ['*.safetensors'] - Loading safetensors checkpoint shards: 0% Completed | 0/2 [00:00.datetime.now.` This function is either a Python builtin (e.g. _warnings.warn) or a third-party C/C++ Python extension (perhaps created with pybind). -If it is a Python builtin, please file an issue on GitHub so the PyTorch team can add support for it and see the next case for a workaround. -If it is a third-party C/C++ Python extension, please either wrap it into a PyTorch-understood custom operator (see https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html for more details) or, if it is traceable, use `torch.compiler.allow_in_graph`. - torch._dynamo.utils.warn_once(explanation + "\n" + "\n".join(hints)) -[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break from `Tensor.item()`, consider setting: -[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] torch._dynamo.config.capture_scalar_outputs = True -[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] or: -[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 -[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] to include these operations in the captured graph. -[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] -[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] Graph break: from user code at: -[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] File "/home/felipemello/forge/apps/blackjack/main.py", line 526, in torch_dynamo_resume_in_simple_grpo_loss_at_524 -[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] "loss_debug/num_trainable_tokens", loss_mask.sum().item(), Reduce.MEAN -[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] -[rank0]:W1120 14:05:16.315000 610714 site-packages/torch/_dynamo/variables/tensor.py:1048] [2/0] -[ReferenceModel-0/1] 2025-11-20 14:05:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:05:19 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:05:20 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:05:22 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:05:24 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:05:25 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:05:27 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:05:29 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:05:30 INFO [GC] Performing periodic GC collection took 0.00 seconds -/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/torch/cuda/memory.py:491: FutureWarning: torch.cuda.reset_max_memory_allocated now calls torch.cuda.reset_peak_memory_stats, which resets /all/ peak memory stats. - warnings.warn( -[TitanTrainer-0/1] 2025-11-20 14:05:30 INFO Pushing weights for policy version 1 -[ReferenceModel-0/1] 2025-11-20 14:05:31 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:05:33 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:05:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 14:05:34 INFO Completed weights push in 4.12 seconds -[Generator-0/1] 2025-11-20 14:05:34 INFO [Generator] Fetching weights for v1 to shared memory -INFO 11-20 14:05:38 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 14:05:38 INFO Weight update completed (now v1) -All services initialized successfully! -Torchstore successfully initialized with local rank strategy -Starting GRPO with 1 rollout threads -[Thread 0] Using server at http://localhost:9000 - -[ROLLOUT 0] Episode Debug -Reward: -10.00, Tokens: 227, Trainable: 4, Truncated: False -================================================================================ -TokenAccumulator: 227/227 tokens -Trainable: 4/227 (1.8%) -================================================================================ - -Messages: - [0] system 'You are an expert Blackjack player.\n\nGOAL: Get a hand total closer to 21 than the dealer without goi...' - [1] user 'Hand: 18, Dealer: 10' - [2] assistant '' - -Token stream: - · <|im_start|>system\nYou are an expert Blackjack player.\n\nGOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting).\n\nRULES:\n- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value\n- If you go over 21, you bust and lose immediately\n- The dealer plays after you and must hit until reaching 17+\n\nACTIONS:\n- HIT: Take another card (increases your hand total)\n- STAND: Keep your current hand and end your turn\n\nWIN CONDITIONS:\n- Your hand is closer to 21 than the dealer's final hand\n- Dealer busts (goes over 21) and you don't\n- You get exactly 21\n\nIMPORTANT: You MUST output your action in the following format:\nHIT or STAND<|im_end|>\n<|im_start|>user\nHand: 18, Dealer: 10<|im_end|>\n<|im_start|>assistant\n\n\n\n\n ✓ <|im_end|> · \n -================================================================================ -[TRAINING] Step 0: Starting training - -[ROLLOUT 10] Episode Debug -Reward: -1.00, Tokens: 230, Trainable: 8, Truncated: False -================================================================================ -TokenAccumulator: 230/230 tokens -Trainable: 8/230 (3.5%) -================================================================================ - -Messages: - [0] system 'You are an expert Blackjack player.\n\nGOAL: Get a hand total closer to 21 than the dealer without goi...' - [1] user 'Hand: 17, Dealer: 8' - [2] assistant 'HIT' - -Token stream: - · <|im_start|>system\nYou are an expert Blackjack player.\n\nGOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting).\n\nRULES:\n- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value\n- If you go over 21, you bust and lose immediately\n- The dealer plays after you and must hit until reaching 17+\n\nACTIONS:\n- HIT: Take another card (increases your hand total)\n- STAND: Keep your current hand and end your turn\n\nWIN CONDITIONS:\n- Your hand is closer to 21 than the dealer's final hand\n- Dealer busts (goes over 21) and you don't\n- You get exactly 21\n\nIMPORTANT: You MUST output your action in the following format:\nHIT or STAND<|im_end|>\n<|im_start|>user\nHand: 17, Dealer: 8<|im_end|>\n<|im_start|>assistant\n\n\n\n\n ✓ HIT<|im_end|> · \n -================================================================================ -WandbBackend: Logged 126 metrics at step 1 -=== [global_reduce] - METRICS STEP 1 === - buffer/add/count_episodes_added: 224.0 - buffer/episode_acceptance_rate: 1.0 - buffer/episodes_accepted: 224.0 - buffer/evict/sum_episodes_evicted: 0.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 1.0 - buffer/sample/avg_sampled_policy_age: 0.0 - buffer/sample/count_sample_requests: 57.0 - buffer/sample/max_sampled_policy_age: 0.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.00013452353315395222 - buffer_perf/sample/total_duration_max_s: 0.003208107315003872 - episode/total_tokens: 251.07359307359306 - episode/turns: 1.670995670995671 - game/average_turns: 1.670995670995671 - game/env_reward: -0.18614718614718614 - game/games_played: 231.0 - game/invalid_action_penalty: 35.0 - game/invalid_action_rate: 0.09067357512953368 - game/missing_answer_tags: 35.0 - game/win_rate: 0.38095238095238093 - generator/generate/avg_tokens_generated: 7.919689119170984 - generator/generate/count_requests: 387.0 - 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loss_debug/per_token_loss_max: 3.0288517475128174 - loss_debug/per_token_loss_mean: -0.23551048338413239 - loss_debug/per_token_loss_min: -1.0356719493865967 - loss_debug/policy_loss_max: 1.0356719493865967 - loss_debug/policy_loss_mean: 0.23551048338413239 - loss_debug/policy_loss_min: -3.0288517475128174 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.042080678045749664 - loss_debug/ref_logprobs_min: -6.501502513885498 - loss_debug/ref_logprobs_std: 0.4528466761112213 - loss_debug/seq_len: 293.0 - loss_debug/targets_max: 151645.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 14.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 1.459522642793932 - main_perf/continuous_rollouts/play_games/duration_max_s: 5.0866497019305825 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.3144628941746695 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.6669673463329673 - 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reference_perf/forward/compute_logprobs/duration_avg_s: 0.02357832741524492 - reference_perf/forward/compute_logprobs/duration_max_s: 0.05348016228526831 - reference_perf/forward/count_forward_passes: 14.0 - reference_perf/forward/forward/duration_avg_s: 0.2778362456842193 - reference_perf/forward/forward/duration_max_s: 0.6030334224924445 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0004796906640487058 - reference_perf/forward/garbage_collection/duration_max_s: 0.0007250197231769562 - reference_perf/forward/memory_delta_end_start_avg_gb: 1.3665408747536796 - reference_perf/forward/memory_peak_max_gb: 12.728936672210693 - reference_perf/forward/to_device/duration_avg_s: 0.00015642294394118444 - reference_perf/forward/to_device/duration_max_s: 0.0001846402883529663 - reference_perf/forward/total_duration_avg_s: 0.30205346510878633 - reference_perf/forward/total_duration_max_s: 0.657258945517242 - rl_trainer/avg_loss: -2.2351741790771484e-08 - rl_trainer/learning_rate: 1e-05 - 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rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.04134064354002476 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.04134064354002476 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.018991364166140556 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.018991364166140556 - rl_trainer_perf/step/total_duration_avg_s: 16.026275975629687 - rl_trainer_perf/step/total_duration_max_s: 16.026275975629687 -============================== - -[TitanTrainer-0/1] 2025-11-20 14:05:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:05:38 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:05:39 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:05:40 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:05:41 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:05:43 INFO [GC] Performing periodic GC collection took 0.00 seconds -/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/torch/cuda/memory.py:491: FutureWarning: torch.cuda.reset_max_memory_allocated now calls torch.cuda.reset_peak_memory_stats, which resets /all/ peak memory stats. - warnings.warn( -[TitanTrainer-0/1] 2025-11-20 14:05:43 INFO Pushing weights for policy version 2 -[ReferenceModel-0/1] 2025-11-20 14:05:44 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:05:45 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:05:46 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 14:05:46 INFO Completed weights push in 3.06 seconds -[Generator-0/1] 2025-11-20 14:05:46 INFO [Generator] Fetching weights for v2 to shared memory -INFO 11-20 14:05:49 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 14:05:49 INFO Weight update completed (now v2) -[ReferenceModel-0/1] 2025-11-20 14:05:50 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TRAINING] Step 1: Starting training - -[ROLLOUT 20] Episode Debug -Reward: -1.00, Tokens: 261, Trainable: 17, Truncated: False -================================================================================ -TokenAccumulator: 261/261 tokens -Trainable: 17/261 (6.5%) -================================================================================ - -Messages: - [0] system 'You are an expert Blackjack player.\n\nGOAL: Get a hand total closer to 21 than the dealer without goi...' - [1] user 'Hand: 9, Dealer: 7' - [2] assistant 'HIT' - [3] user 'Hand: 19, Dealer: 7' - [4] assistant 'STAND' - -Token stream: - · <|im_start|>system\nYou are an expert Blackjack player.\n\nGOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting).\n\nRULES:\n- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value\n- If you go over 21, you bust and lose immediately\n- The dealer plays after you and must hit until reaching 17+\n\nACTIONS:\n- HIT: Take another card (increases your hand total)\n- STAND: Keep your current hand and end your turn\n\nWIN CONDITIONS:\n- Your hand is closer to 21 than the dealer's final hand\n- Dealer busts (goes over 21) and you don't\n- You get exactly 21\n\nIMPORTANT: You MUST output your action in the following format:\nHIT or STAND<|im_end|>\n<|im_start|>user\nHand: 9, Dealer: 7<|im_end|>\n<|im_start|>assistant\n\n\n\n\n ✓ HIT<|im_end|> · \n<|im_start|>user\nHand: 19, Dealer: 7<|im_end|>\n<|im_start|>assistant\n\n\n\n\n ✓ STAND<|im_end|> · \n -================================================================================ -Dropping weights @ version 1 -Dropped weights @ version 1, took 1.13 seconds -WandbBackend: Logged 126 metrics at step 2 -=== [global_reduce] - 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rl_trainer_perf/step/memory_peak_max_gb: 17.969362258911133 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003130650147795677 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003130650147795677 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.02159952186048031 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.02159952186048031 - rl_trainer_perf/step/total_duration_avg_s: 2.101998564787209 - rl_trainer_perf/step/total_duration_max_s: 2.101998564787209 -============================== - -[TitanTrainer-0/1] 2025-11-20 14:05:59 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:06:00 INFO [GC] Performing periodic GC collection took 0.00 seconds -/home/felipemello/.conda/envs/forge/lib/python3.12/site-packages/torch/cuda/memory.py:491: FutureWarning: torch.cuda.reset_max_memory_allocated now calls torch.cuda.reset_peak_memory_stats, which resets /all/ peak memory stats. - warnings.warn( -[TitanTrainer-0/1] 2025-11-20 14:06:00 INFO Pushing weights for policy version 4 -[ReferenceModel-0/1] 2025-11-20 14:06:01 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:06:03 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 14:06:03 INFO Completed weights push in 2.82 seconds -[Generator-0/1] 2025-11-20 14:06:03 INFO [Generator] Fetching weights for v4 to shared memory -INFO 11-20 14:06:06 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 14:06:06 INFO Weight update completed (now v4) -[TRAINING] Step 3: Starting training -Dropping weights @ version 3 -Dropped weights @ version 3, took 0.80 seconds -WandbBackend: Logged 126 metrics at step 4 -=== [global_reduce] - 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-[ROLLOUT 30] Episode Debug -Reward: -1.00, Tokens: 230, Trainable: 8, Truncated: False -================================================================================ -TokenAccumulator: 230/230 tokens -Trainable: 8/230 (3.5%) -================================================================================ - -Messages: - [0] system 'You are an expert Blackjack player.\n\nGOAL: Get a hand total closer to 21 than the dealer without goi...' - [1] user 'Hand: 20, Dealer: 4' - [2] assistant 'HIT' - -Token stream: - · <|im_start|>system\nYou are an expert Blackjack player.\n\nGOAL: Get a hand total closer to 21 than the dealer without going over 21 (busting).\n\nRULES:\n- Card values: Ace=1 or 11, Face cards (J,Q,K)=10, Number cards=face value\n- If you go over 21, you bust and lose immediately\n- The dealer plays after you and must hit until reaching 17+\n\nACTIONS:\n- HIT: Take another card (increases your hand total)\n- STAND: Keep your current hand and end your turn\n\nWIN CONDITIONS:\n- Your hand is closer to 21 than the dealer's final hand\n- Dealer busts (goes over 21) and you don't\n- You get exactly 21\n\nIMPORTANT: You MUST output your action in the following format:\nHIT or STAND<|im_end|>\n<|im_start|>user\nHand: 20, Dealer: 4<|im_end|>\n<|im_start|>assistant\n\n\n\n\n ✓ HIT<|im_end|> · \n -================================================================================ -Dropping weights @ version 4 -Dropped weights @ version 4, took 0.74 seconds -WandbBackend: Logged 126 metrics at step 5 -=== [global_reduce] - 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rl_trainer_perf/step/memory_peak_max_gb: 18.664216995239258 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.003095717169344425 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.003095717169344425 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.03019754681736231 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.03019754681736231 - rl_trainer_perf/step/total_duration_avg_s: 1.6239617001265287 - rl_trainer_perf/step/total_duration_max_s: 1.6239617001265287 -============================== - -[ReferenceModel-0/1] 2025-11-20 14:06:15 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 14:06:16 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:06:17 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 14:06:17 INFO Pushing weights for policy version 6 -[TitanTrainer-0/1] 2025-11-20 14:06:20 INFO Completed weights push in 2.63 seconds -[Generator-0/1] 2025-11-20 14:06:20 INFO [Generator] Fetching weights for v6 to shared memory -INFO 11-20 14:06:23 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 14:06:23 INFO Weight update completed (now v6) -[TRAINING] Step 5: Starting training -Dropping weights @ version 5 -Dropped weights @ version 5, took 0.74 seconds -WandbBackend: Logged 126 metrics at step 6 -=== [global_reduce] - METRICS STEP 6 === - buffer/add/count_episodes_added: 32.0 - buffer/episode_acceptance_rate: 1.0 - buffer/episodes_accepted: 32.0 - buffer/evict/sum_episodes_evicted: 57.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 1.1883289124668432 - buffer/sample/avg_sampled_policy_age: 0.5625 - buffer/sample/count_sample_requests: 16.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 0.0001603093114681542 - buffer_perf/sample/total_duration_max_s: 0.0007462119683623314 - episode/total_tokens: 292.78125 - episode/turns: 1.53125 - game/average_turns: 1.53125 - game/env_reward: -0.625 - game/games_played: 32.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.15625 - generator/generate/avg_tokens_generated: 33.4375 - generator/generate/count_requests: 48.0 - generator/generate/count_sequences_completed: 48.0 - generator/generate/sum_tokens_generated: 1605.0 - generator/update_weights/count_weight_updates: 1.0 - 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loss_debug/policy_loss_max: 1.436065673828125 - loss_debug/policy_loss_mean: -0.2040964663028717 - loss_debug/policy_loss_min: -0.749962568283081 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -1.5175755023956299 - loss_debug/ref_logprobs_min: -46.625 - loss_debug/ref_logprobs_std: 6.07943058013916 - loss_debug/seq_len: 679.0 - loss_debug/targets_max: 151668.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 2.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 3.486482124775648 - main_perf/continuous_rollouts/play_games/duration_max_s: 5.719673874787986 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.5160142234526575 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.5558852078393102 - main_perf/continuous_rollouts/total_duration_avg_s: 4.043933788314462 - main_perf/continuous_rollouts/total_duration_max_s: 6.3173341657966375 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.7403995152562857 - main_perf/continuous_training/drop_weights/duration_max_s: 0.7403995152562857 - main_perf/continuous_training/push_weights/duration_avg_s: 2.6327676670625806 - main_perf/continuous_training/push_weights/duration_max_s: 2.6327676670625806 - main_perf/continuous_training/total_duration_avg_s: 9.567346637137234 - main_perf/continuous_training/total_duration_max_s: 9.567346637137234 - main_perf/continuous_training/train_step/duration_avg_s: 1.739685875363648 - main_perf/continuous_training/train_step/duration_max_s: 1.739685875363648 - main_perf/continuous_training/update_weights/duration_avg_s: 2.9171524308621883 - main_perf/continuous_training/update_weights/duration_max_s: 2.9171524308621883 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 1.5373389041051269 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 1.5373389041051269 - reference_perf/forward/avg_sequence_length: 473.5 - reference_perf/forward/compute_logprobs/duration_avg_s: 0.04779767012223601 - reference_perf/forward/compute_logprobs/duration_max_s: 0.09137254394590855 - reference_perf/forward/count_forward_passes: 2.0 - reference_perf/forward/forward/duration_avg_s: 0.45397721510380507 - reference_perf/forward/forward/duration_max_s: 0.4595512980595231 - reference_perf/forward/garbage_collection/duration_avg_s: 0.0004756818525493145 - reference_perf/forward/garbage_collection/duration_max_s: 0.0004879506304860115 - reference_perf/forward/memory_delta_end_start_avg_gb: 2.144134759902954 - reference_perf/forward/memory_peak_max_gb: 22.265088081359863 - reference_perf/forward/to_device/duration_avg_s: 0.00017101923003792763 - reference_perf/forward/to_device/duration_max_s: 0.00017134007066488266 - reference_perf/forward/total_duration_avg_s: 0.5024238550104201 - reference_perf/forward/total_duration_max_s: 0.54043785110116 - rl_trainer/avg_loss: 0.3309321999549866 - rl_trainer/learning_rate: 9.95995995995996e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0005969060584902763 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0005969060584902763 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005211606621742249 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005211606621742249 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.6309156781062484 - rl_trainer_perf/push_weights/total_duration_max_s: 2.6309156781062484 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.6297954078763723 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.6297954078763723 - rl_trainer_perf/step/forward_backward/duration_avg_s: 1.6431314051151276 - rl_trainer_perf/step/forward_backward/duration_max_s: 1.6431314051151276 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 0.00024366378784179688 - rl_trainer_perf/step/memory_peak_max_gb: 28.268077850341797 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0075210705399513245 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0075210705399513245 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.08491276949644089 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.08491276949644089 - rl_trainer_perf/step/total_duration_avg_s: 1.7355684600770473 - rl_trainer_perf/step/total_duration_max_s: 1.7355684600770473 -============================== - -[TitanTrainer-0/1] 2025-11-20 14:06:24 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 14:06:25 INFO Pushing weights for policy version 7 -[TitanTrainer-0/1] 2025-11-20 14:06:27 INFO Completed weights push in 2.32 seconds -[Generator-0/1] 2025-11-20 14:06:27 INFO [Generator] Fetching weights for v7 to shared memory -INFO 11-20 14:06:30 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 14:06:30 INFO Weight update completed (now v7) -[TRAINING] Step 6: Starting training -Dropping weights @ version 6 -Dropped weights @ version 6, took 0.70 seconds -WandbBackend: Logged 100 metrics at step 7 -=== [global_reduce] - METRICS STEP 7 === - buffer/evict/sum_episodes_evicted: 25.0 - buffer/sample/avg_data_utilization: 0.8 - buffer/sample/avg_sampled_policy_age: 1.0 - buffer/sample/count_sample_requests: 1.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 1.0 - buffer_perf/sample/total_duration_avg_s: 0.0008659828454256058 - buffer_perf/sample/total_duration_max_s: 0.0008659828454256058 - episode/total_tokens: 370.4 - episode/turns: 1.6 - game/average_turns: 1.6 - game/env_reward: -0.2 - game/games_played: 5.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.4 - generator/generate/avg_tokens_generated: 101.77777777777777 - generator/generate/count_requests: 9.0 - generator/generate/count_sequences_completed: 9.0 - generator/generate/sum_tokens_generated: 916.0 - generator/update_weights/count_weight_updates: 1.0 - generator_perf/_fetch_weights/total_duration_avg_s: 1.6614852780476213 - generator_perf/_fetch_weights/total_duration_max_s: 1.6614852780476213 - generator_perf/generate/generate/duration_avg_s: 0.45497827021280934 - generator_perf/generate/generate/duration_max_s: 1.2452686767578125 - generator_perf/generate/process_inputs/duration_avg_s: 0.0008831928968429564 - generator_perf/generate/process_inputs/duration_max_s: 0.0010410560369491578 - generator_perf/generate/total_duration_avg_s: 0.45595132622076195 - generator_perf/generate/total_duration_max_s: 1.2460876207635738 - generator_perf/update_weights/avg_pending_requests: 1.0 - generator_perf/update_weights/max_pending_requests: 1.0 - generator_perf/waiting_for_fetch_weights/total_duration_avg_s: 1.4284553276374936 - generator_perf/waiting_for_fetch_weights/total_duration_max_s: 1.4284553276374936 - generator_worker_perf/update_weights_from_shared_memory/total_duration_avg_s: 0.7923781666904688 - generator_worker_perf/update_weights_from_shared_memory/total_duration_max_s: 0.7923781666904688 - loss_debug/advantages_max: 3.7496249675750732 - loss_debug/advantages_mean: 0.08020366728305817 - loss_debug/advantages_min: -0.6527571082115173 - loss_debug/advantages_std: 1.0726128816604614 - loss_debug/batch_size: 16.0 - loss_debug/beta_times_kl_mean: 0.16017933189868927 - loss_debug/final_loss: 0.09452226758003235 - loss_debug/kl_max: 10.0 - loss_debug/kl_mean: 1.6017932891845703 - loss_debug/kl_min: 0.0 - loss_debug/kl_std: 3.6247787475585938 - loss_debug/logprob_diff_max: 0.05512123927474022 - loss_debug/logprob_diff_mean: -3.748018741607666 - loss_debug/logprob_diff_min: -34.09544372558594 - loss_debug/logprobs_max: 0.0 - loss_debug/logprobs_mean: -1.0218476057052612 - loss_debug/logprobs_min: -45.25 - loss_debug/logprobs_std: 5.807605266571045 - loss_debug/num_trainable_tokens: 233.0 - loss_debug/per_token_loss_max: 1.652757167816162 - loss_debug/per_token_loss_mean: -0.15736086666584015 - loss_debug/per_token_loss_min: -3.7496249675750732 - loss_debug/policy_loss_max: 3.7496249675750732 - loss_debug/policy_loss_mean: 0.31754016876220703 - loss_debug/policy_loss_min: -0.6527571082115173 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -4.769866466522217 - loss_debug/ref_logprobs_min: -48.1875 - loss_debug/ref_logprobs_std: 11.382586479187012 - loss_debug/seq_len: 297.0 - loss_debug/targets_max: 151668.0 - loss_debug/targets_min: -100.0 - main_perf/continuous_training/drop_weights/duration_avg_s: 0.6980953318998218 - main_perf/continuous_training/drop_weights/duration_max_s: 0.6980953318998218 - main_perf/continuous_training/push_weights/duration_avg_s: 2.322842880152166 - main_perf/continuous_training/push_weights/duration_max_s: 2.322842880152166 - main_perf/continuous_training/total_duration_avg_s: 7.3328180853277445 - main_perf/continuous_training/total_duration_max_s: 7.3328180853277445 - main_perf/continuous_training/train_step/duration_avg_s: 1.5707345306873322 - main_perf/continuous_training/train_step/duration_max_s: 1.5707345306873322 - main_perf/continuous_training/update_weights/duration_avg_s: 2.738172092474997 - main_perf/continuous_training/update_weights/duration_max_s: 2.738172092474997 - main_perf/continuous_training/waiting_for_buffer/duration_avg_s: 0.0029711872339248657 - main_perf/continuous_training/waiting_for_buffer/duration_max_s: 0.0029711872339248657 - rl_trainer/avg_loss: 0.09452226758003235 - rl_trainer/learning_rate: 9.949949949949951e-06 - rl_trainer_perf/push_weights/flatten_state_dict/duration_avg_s: 0.0006130393594503403 - rl_trainer_perf/push_weights/flatten_state_dict/duration_max_s: 0.0006130393594503403 - rl_trainer_perf/push_weights/memory_delta_end_start_avg_gb: 0.0 - rl_trainer_perf/push_weights/memory_peak_max_gb: 11.417872905731201 - rl_trainer_perf/push_weights/to_hf/duration_avg_s: 0.0005212705582380295 - rl_trainer_perf/push_weights/to_hf/duration_max_s: 0.0005212705582380295 - rl_trainer_perf/push_weights/total_duration_avg_s: 2.3208404714241624 - rl_trainer_perf/push_weights/total_duration_max_s: 2.3208404714241624 - rl_trainer_perf/push_weights/ts_save/duration_avg_s: 2.3197039077058434 - rl_trainer_perf/push_weights/ts_save/duration_max_s: 2.3197039077058434 - rl_trainer_perf/step/forward_backward/duration_avg_s: 1.5357843125239015 - rl_trainer_perf/step/forward_backward/duration_max_s: 1.5357843125239015 - rl_trainer_perf/step/memory_delta_end_start_avg_gb: 0.00010824203491210938 - rl_trainer_perf/step/memory_peak_max_gb: 18.788300037384033 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.0030636172741651535 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.0030636172741651535 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.02772499807178974 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.02772499807178974 - rl_trainer_perf/step/total_duration_avg_s: 1.566575481556356 - rl_trainer_perf/step/total_duration_max_s: 1.566575481556356 -============================== - -[ReferenceModel-0/1] 2025-11-20 14:06:37 INFO [GC] Performing periodic GC collection took 0.00 seconds -[ReferenceModel-0/1] 2025-11-20 14:07:08 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 14:07:09 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 14:07:11 INFO Pushing weights for policy version 8 -[TitanTrainer-0/1] 2025-11-20 14:07:13 INFO Completed weights push in 2.53 seconds -[Generator-0/1] 2025-11-20 14:07:13 INFO [Generator] Fetching weights for v8 to shared memory -INFO 11-20 14:07:16 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 14:07:16 INFO Weight update completed (now v8) -[TRAINING] Step 7: Starting training -Dropping weights @ version 7 -Dropped weights @ version 7, took 0.82 seconds -WandbBackend: Logged 128 metrics at step 8 -=== [global_reduce] - METRICS STEP 8 === - buffer/add/count_episodes_added: 32.0 - buffer/episode_acceptance_rate: 1.0 - buffer/episodes_accepted: 32.0 - buffer/evict/sum_episodes_evicted: 22.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 1.1436797975003998 - buffer/sample/avg_sampled_policy_age: 0.25 - buffer/sample/count_sample_requests: 371.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 9.09150319520354e-05 - buffer_perf/sample/total_duration_max_s: 0.0004378734156489372 - episode/total_tokens: 614.2222222222222 - episode/turns: 1.6666666666666667 - game/average_turns: 1.6666666666666667 - game/env_reward: -0.2962962962962963 - game/games_played: 27.0 - game/invalid_action_penalty: 1.0 - game/invalid_action_rate: 0.022727272727272728 - game/missing_answer_tags: 1.0 - game/win_rate: 0.2962962962962963 - generator/generate/avg_tokens_generated: 225.70454545454547 - generator/generate/count_requests: 44.0 - 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rl_trainer_perf/step/memory_peak_max_gb: 41.520267486572266 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.013786138035356998 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.013786138035356998 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.14138053450733423 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.14138053450733423 - rl_trainer_perf/step/total_duration_avg_s: 1.986812749877572 - rl_trainer_perf/step/total_duration_max_s: 1.986812749877572 -============================== - -[ReferenceModel-0/1] 2025-11-20 14:07:34 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 14:07:35 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 14:07:37 INFO Pushing weights for policy version 9 -[TitanTrainer-0/1] 2025-11-20 14:07:40 INFO Completed weights push in 2.52 seconds -[Generator-0/1] 2025-11-20 14:07:40 INFO [Generator] Fetching weights for v9 to shared memory -INFO 11-20 14:07:42 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 14:07:42 INFO Weight update completed (now v9) -[TRAINING] Step 8: Starting training -Dropping weights @ version 8 -Dropped weights @ version 8, took 0.75 seconds -WandbBackend: Logged 126 metrics at step 9 -=== [global_reduce] - METRICS STEP 9 === - buffer/add/count_episodes_added: 16.0 - buffer/episode_acceptance_rate: 1.0 - buffer/episodes_accepted: 16.0 - buffer/evict/sum_episodes_evicted: 20.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 1.5945299145299132 - buffer/sample/avg_sampled_policy_age: 0.4375 - buffer/sample/count_sample_requests: 180.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 9.84305360664924e-05 - buffer_perf/sample/total_duration_max_s: 0.0005329884588718414 - episode/total_tokens: 573.8666666666667 - episode/turns: 1.4666666666666666 - game/average_turns: 1.4666666666666666 - game/env_reward: -0.26666666666666666 - game/games_played: 15.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.3333333333333333 - generator/generate/avg_tokens_generated: 232.3181818181818 - generator/generate/count_requests: 22.0 - generator/generate/count_sequences_completed: 22.0 - generator/generate/sum_tokens_generated: 5111.0 - 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loss_debug/per_token_loss_mean: 0.01149035431444645 - loss_debug/per_token_loss_min: -1.0356719493865967 - loss_debug/policy_loss_max: 1.0356719493865967 - loss_debug/policy_loss_mean: 0.005344805307686329 - loss_debug/policy_loss_min: -0.9681990146636963 - loss_debug/ref_logprobs_max: 0.0 - loss_debug/ref_logprobs_mean: -0.5724653005599976 - loss_debug/ref_logprobs_min: -47.445186614990234 - loss_debug/ref_logprobs_std: 2.9124107360839844 - loss_debug/seq_len: 1365.0 - loss_debug/targets_max: 151668.0 - loss_debug/targets_min: -100.0 - main/continuous_rollouts/count_rollout_iterations: 1.0 - main_perf/continuous_rollouts/play_games/duration_avg_s: 25.45370960328728 - main_perf/continuous_rollouts/play_games/duration_max_s: 25.45370960328728 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_avg_s: 0.682504934258759 - main_perf/continuous_rollouts/reference_model_calculate_logprobs/duration_max_s: 0.682504934258759 - main_perf/continuous_rollouts/total_duration_avg_s: 26.17939332872629 - 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rl_trainer_perf/step/memory_peak_max_gb: 45.292272090911865 - rl_trainer_perf/step/optimizer_step/duration_avg_s: 0.015081457793712616 - rl_trainer_perf/step/optimizer_step/duration_max_s: 0.015081457793712616 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.154585731215775 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.154585731215775 - rl_trainer_perf/step/total_duration_avg_s: 2.057561202906072 - rl_trainer_perf/step/total_duration_max_s: 2.057561202906072 -============================== - -[ReferenceModel-0/1] 2025-11-20 14:07:58 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 14:07:59 INFO [GC] Performing periodic GC collection took 0.00 seconds -[TitanTrainer-0/1] 2025-11-20 14:08:01 INFO Pushing weights for policy version 10 -[TitanTrainer-0/1] 2025-11-20 14:08:04 INFO Completed weights push in 2.82 seconds -[Generator-0/1] 2025-11-20 14:08:04 INFO [Generator] Fetching weights for v10 to shared memory -INFO 11-20 14:08:06 [block_pool.py:321] Successfully reset prefix cache -[Generator-0/1] 2025-11-20 14:08:06 INFO Weight update completed (now v10) -[TRAINING] Step 9: Starting training -Dropping weights @ version 9 -Dropped weights @ version 9, took 0.68 seconds -WandbBackend: Logged 126 metrics at step 10 -=== [global_reduce] - METRICS STEP 10 === - buffer/add/count_episodes_added: 16.0 - buffer/episode_acceptance_rate: 1.0 - buffer/episodes_accepted: 16.0 - buffer/evict/sum_episodes_evicted: 23.0 - buffer/rate_rejected_truncated: 0.0 - buffer/sample/avg_data_utilization: 5.3047267851156645 - buffer/sample/avg_sampled_policy_age: 0.375 - buffer/sample/count_sample_requests: 157.0 - buffer/sample/max_sampled_policy_age: 1.0 - buffer/sample/min_sampled_policy_age: 0.0 - buffer_perf/sample/total_duration_avg_s: 9.351285399904677e-05 - buffer_perf/sample/total_duration_max_s: 0.0005680015310645103 - episode/total_tokens: 563.2666666666667 - episode/turns: 1.4 - game/average_turns: 1.4 - game/env_reward: 0.0 - game/games_played: 15.0 - game/invalid_action_rate: 0.0 - game/win_rate: 0.4 - generator/generate/avg_tokens_generated: 236.8095238095238 - generator/generate/count_requests: 21.0 - generator/generate/count_sequences_completed: 21.0 - generator/generate/sum_tokens_generated: 4973.0 - generator/update_weights/count_weight_updates: 1.0 - 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rl_trainer_perf/step/optimizer_step/duration_max_s: 0.010909290052950382 - rl_trainer_perf/step/save_checkpoint/duration_avg_s: 0.11634991131722927 - rl_trainer_perf/step/save_checkpoint/duration_max_s: 0.11634991131722927 - rl_trainer_perf/step/total_duration_avg_s: 1.859850506298244 - rl_trainer_perf/step/total_duration_max_s: 1.859850506298244 -============================== - -Traceback (most recent call last): - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run -INFO: Shutting down -INFO: Waiting for application shutdown. -INFO: Application shutdown complete. -INFO: Finished server process [608036] -Shutting down... (this may take a few seconds) -Timeout waiting for rollouts; forcing cancellation... -Shutting down Forge actors... -Shutting down metric logger... -Metric logging fetcher shutdown timed out likely due to the child process being terminated before the parent. -wandb: updating run metadata -wandb: uploading history steps 11-11, summary, console lines 1647-1652 -wandb: -wandb: Run history: -wandb: buffer/add/count_episodes_added █▅▃▂▁▂▂▁▁▁▁ -wandb: buffer/episode_acceptance_rate ▁▁▁▁▁▁▁▁▁▁▁ -wandb: buffer/episodes_accepted █▅▃▂▁▂▂▁▁▁▁ -wandb: buffer/evict/sum_episodes_evicted ▁▂█▅▃▃▂▂▂▂▂▂ -wandb: buffer/rate_rejected_truncated ▁▁▁▁▁▁▁▁▁▁▁ -wandb: buffer/sample/avg_data_utilization ▂▁▁▁▁▂▂▂▂▆██ -wandb: buffer/sample/avg_sampled_policy_age ▁██▇█▅█▃▄▄▃▂ -wandb: buffer/sample/count_sample_requests ▂▁▁▁▁▁▁█▄▄▄▄ -wandb: buffer/sample/max_sampled_policy_age ▁███████████ -wandb: buffer/sample/min_sampled_policy_age ▁█▁▁█▁█▁▁▁▁▁ -wandb: +118 ... -wandb: -wandb: Run summary: -wandb: buffer/add/count_episodes_added 16 -wandb: buffer/episode_acceptance_rate 1 -wandb: buffer/episodes_accepted 16 -wandb: buffer/evict/sum_episodes_evicted 16 -wandb: buffer/rate_rejected_truncated 0 -wandb: buffer/sample/avg_data_utilization 7.93567 -wandb: buffer/sample/avg_sampled_policy_age 0.1875 -wandb: buffer/sample/count_sample_requests 152 -wandb: buffer/sample/max_sampled_policy_age 1 -wandb: buffer/sample/min_sampled_policy_age 0 -wandb: +118 ... -wandb: -wandb: 🚀 View run genial-monkey-94 at: https://wandb.ai/cabernet-team/blackjack-grpo/runs/ae4ah9u2 -wandb: ⭐️ View project at: https://wandb.ai/cabernet-team/blackjack-grpo -wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s) -wandb: Find logs at: ./wandb/run-20251120_140408-ae4ah9u2/logs -WandbBackend global_reduce: Finished run -Shutting down provisioner.. -Shutting down 2 service(s) and 3 actor(s)... -Health loop stopped gracefully. -Traceback (most recent call last): - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 118, in run - return self._loop.run_until_complete(task) - ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/base_events.py", line 691, in run_until_complete - return future.result() - ^^^^^^^^^^^^^^^ - File "/home/felipemello/forge/apps/blackjack/main.py", line 1054, in main - await training_task - File "/home/felipemello/forge/apps/blackjack/main.py", line 1016, in continuous_training - await asyncio.sleep(0.1) - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/tasks.py", line 665, in sleep - return await future - ^^^^^^^^^^^^ -asyncio.exceptions.CancelledError - -During handling of the above exception, another exception occurred: - -Traceback (most recent call last): - File "", line 198, in _run_module_as_main - File "", line 88, in _run_code - File "/home/felipemello/forge/apps/blackjack/main.py", line 1098, in - _main() # @parse grabs the cfg from CLI - ^^^^^^^ - File "/home/felipemello/forge/src/forge/util/config.py", line 313, in wrapper - sys.exit(recipe_main(conf)) - ^^^^^^^^^^^^^^^^^ - File "/home/felipemello/forge/apps/blackjack/main.py", line 1096, in _main - asyncio.run(main(cfg)) - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 195, in run - return runner.run(main) - ^^^^^^^^^^^^^^^^ - File "/home/felipemello/.conda/envs/forge/lib/python3.12/asyncio/runners.py", line 123, in run - raise KeyboardInterrupt() -KeyboardInterrupt -⚠ Forge shutdown timed out after 10s, forcing exit... diff --git a/test_minimal_truncation.py b/test_minimal_truncation.py deleted file mode 100644 index 436f8da18..000000000 --- a/test_minimal_truncation.py +++ /dev/null @@ -1,273 +0,0 @@ -#!/usr/bin/env python3 -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Minimal test to verify v9 fix for Qwen think tags. - -Tests 4 scenarios: -1. prompt -> user -> assistant (complete) -2. prompt -> user -> assistant-truncated -3. prompt -> user -> assistant -> user (complete multi-turn) -4. prompt -> user -> assistant-truncated -> user-truncated -""" - -import sys - -sys.path.insert(0, "/home/felipemello/forge") - -from transformers import AutoTokenizer - - -class TokenAccumulator: - """Minimal token accumulator using direct token extraction (v9 approach).""" - - def __init__(self, tokenizer, system_prompt: str): - self.tokenizer = tokenizer - self.eos_token_id = tokenizer.eos_token_id - - # Pre-compute role headers/footers for assistant - self.role_header, self.role_footer = self._compute_role_tokens() - - # Initialize with system message - self.messages = [{"role": "system", "content": system_prompt}] - self.all_tokens = tokenizer.apply_chat_template( - self.messages, add_generation_prompt=False, tokenize=True - ) - - def _compute_role_tokens(self): - """Pre-compute assistant role header and footer tokens.""" - # Use complete think tags to avoid auto-wrapper - base = [{"role": "system", "content": ""}, {"role": "user", "content": ""}] - with_assistant = base + [{"role": "assistant", "content": "X"}] - - base_tokens = self.tokenizer.apply_chat_template( - base, add_generation_prompt=False, tokenize=True - ) - full_tokens = self.tokenizer.apply_chat_template( - with_assistant, add_generation_prompt=False, tokenize=True - ) - - # Extract assistant portion - assistant_full = full_tokens[len(base_tokens) :] - - # Content tokens - content_tokens = self.tokenizer.encode( - "X", add_special_tokens=False - ) - - # Find content position in assistant_full - for i in range(len(assistant_full) - len(content_tokens) + 1): - if assistant_full[i : i + len(content_tokens)] == content_tokens: - header = assistant_full[:i] - footer = assistant_full[i + len(content_tokens) :] - return header, footer - - # Fallback: assume last token is footer (eos) - return assistant_full[:-1], assistant_full[-1:] - - def add_user_message(self, content: str): - """Add user message using prefix matching.""" - self.messages.append({"role": "user", "content": content}) - - # Tokenize to get new tokens - new_tokens = self.tokenizer.apply_chat_template( - self.messages, add_generation_prompt=False, tokenize=True - ) - - # Extract delta - delta = new_tokens[len(self.all_tokens) :] - self.all_tokens.extend(delta) - - def add_assistant_response(self, content_tokens: list[int], text: str): - """ - Add assistant response using DIRECT tokens (v9 approach). - - Args: - content_tokens: Raw tokens from vLLM (content only, no role headers) - text: Decoded text (for message log) - """ - # Check if truncated (last token != eos) - is_truncated = ( - len(content_tokens) > 0 and content_tokens[-1] != self.eos_token_id - ) - - # Combine: header + content + footer - # BUT if truncated, don't add footer (incomplete response) - if is_truncated: - assistant_tokens = self.role_header + content_tokens - else: - # Remove eos from content if present (footer already has it) - if content_tokens and content_tokens[-1] == self.eos_token_id: - content_tokens = content_tokens[:-1] - assistant_tokens = self.role_header + content_tokens + self.role_footer - - # Accumulate - self.all_tokens.extend(assistant_tokens) - - # Add to messages - self.messages.append({"role": "assistant", "content": text}) - - return is_truncated - - def validate(self): - """Compare accumulated tokens vs ground truth.""" - ground_truth = self.tokenizer.apply_chat_template( - self.messages, add_generation_prompt=False, tokenize=True - ) - - match = self.all_tokens == ground_truth - - if match: - print(f" ✅ MATCH - {len(self.all_tokens)} tokens") - else: - print(f" ❌ MISMATCH") - print(f" Accumulated: {len(self.all_tokens)} tokens") - print(f" Ground truth: {len(ground_truth)} tokens") - print(f" Diff: {len(ground_truth) - len(self.all_tokens)}") - - # Find first difference - for i in range(min(len(self.all_tokens), len(ground_truth))): - if self.all_tokens[i] != ground_truth[i]: - print(f" First diff at position {i}:") - print(f" Got: {self.all_tokens[max(0,i-3):i+5]}") - print(f" Exp: {ground_truth[max(0,i-3):i+5]}") - break - - return match - - -def simulate_vllm_response(tokenizer, content: str, truncate_at: int = None): - """ - Simulate vLLM response by encoding content. - - Args: - content: Response text - truncate_at: If set, truncate tokens at this position - """ - tokens = tokenizer.encode(content, add_special_tokens=False) - - if truncate_at and truncate_at < len(tokens): - tokens = tokens[:truncate_at] - - return tokens, tokenizer.decode(tokens) - - -def main(): - # Load tokenizer - model_path = "Qwen/Qwen3-1.7B" - tokenizer = AutoTokenizer.from_pretrained(model_path, local_files_only=True) - - print(f"Model: {model_path}") - print(f"EOS token: {tokenizer.eos_token} (id={tokenizer.eos_token_id})\n") - print("=" * 80) - - # Test 1: Complete single-turn - print("\nTEST 1: prompt -> user -> assistant (COMPLETE)") - print("-" * 80) - acc = TokenAccumulator(tokenizer, "You are a helpful assistant.") - acc.add_user_message("Hand: 15, Dealer: 10") - - # Simulate complete response - content_tokens, content_text = simulate_vllm_response( - tokenizer, f"Let me think...\n\nHIT{tokenizer.eos_token}" - ) - print(f" Content tokens: {len(content_tokens)}") - print(f" Last token == eos: {content_tokens[-1] == tokenizer.eos_token_id}") - - is_truncated = acc.add_assistant_response(content_tokens, content_text) - print(f" Is truncated: {is_truncated}") - acc.validate() - - # Test 2: Truncated single-turn - print("\nTEST 2: prompt -> user -> assistant-truncated") - print("-" * 80) - acc2 = TokenAccumulator(tokenizer, "You are a helpful assistant.") - acc2.add_user_message("Hand: 15, Dealer: 10") - - # Simulate truncated response (incomplete think tag) - content_tokens, content_text = simulate_vllm_response( - tokenizer, - "Let me think about this carefully...", - truncate_at=10, # Truncate after 10 tokens - ) - print(f" Content tokens: {len(content_tokens)}") - print(f" Content text: {repr(content_text)}") - print(f" Last token == eos: {content_tokens[-1] == tokenizer.eos_token_id}") - - is_truncated = acc2.add_assistant_response(content_tokens, content_text) - print(f" Is truncated: {is_truncated}") - acc2.validate() - - # Check for duplicate think tags in decoded output - decoded = tokenizer.decode(acc2.all_tokens) - has_duplicates = decoded.count("") > 1 - print(f" Duplicate tags: {has_duplicates}") - if has_duplicates: - print(f" ❌ FOUND DUPLICATES!") - print(f" Decoded:\n{decoded}") - - # Test 3: Complete multi-turn - print("\nTEST 3: prompt -> user -> assistant -> user (COMPLETE MULTI-TURN)") - print("-" * 80) - acc3 = TokenAccumulator(tokenizer, "You are a helpful assistant.") - acc3.add_user_message("Hand: 15, Dealer: 10") - - content_tokens, content_text = simulate_vllm_response( - tokenizer, f"Thinking...\n\nHIT{tokenizer.eos_token}" - ) - acc3.add_assistant_response(content_tokens, content_text) - - # Add second user message - acc3.add_user_message("Hand: 16, Dealer: 10") - print(f" After 2 turns: {len(acc3.all_tokens)} tokens") - acc3.validate() - - # Test 4: Truncated multi-turn - print("\nTEST 4: prompt -> user -> assistant-truncated -> user-truncated") - print("-" * 80) - acc4 = TokenAccumulator(tokenizer, "You are a helpful assistant.") - acc4.add_user_message("Hand: 15, Dealer: 10") - - # First response truncated - content_tokens, content_text = simulate_vllm_response( - tokenizer, "Let me", truncate_at=5 - ) - is_truncated = acc4.add_assistant_response(content_tokens, content_text) - print(f" Turn 1 truncated: {is_truncated}") - - # Try to add another user message (would be rejected in real code) - acc4.add_user_message("Hand: 16, Dealer: 10") - print(f" After truncated multi-turn: {len(acc4.all_tokens)} tokens") - acc4.validate() - - # Check for duplicates - decoded = tokenizer.decode(acc4.all_tokens) - has_duplicates = decoded.count("") > 1 - print(f" Duplicate tags: {has_duplicates}") - if has_duplicates: - print(f" ❌ FOUND DUPLICATES!") - # Show where duplicates appear - lines = decoded.split("\n") - for i, line in enumerate(lines): - if "" in line or "" in line: - print(f" Line {i}: {repr(line)}") - - print("\n" + "=" * 80) - print("SUMMARY") - print("=" * 80) - print("The v9 fix (direct token extraction) should:") - print(" 1. ✅ Match ground truth for complete responses") - print(" 2. ❌ May mismatch for truncated (incomplete think tags)") - print(" 3. ✅ No duplicate tags if using direct tokens correctly") - print("\nIf we DROP truncated episodes (like Tinker):") - print(" - Only test 1 and 3 matter (complete responses)") - print(" - Tests 2 and 4 would be discarded anyway") - print(" - Simplifies logic: no need to handle incomplete tags!") - - -if __name__ == "__main__": - main() diff --git a/test_simple_reconstruction.py b/test_simple_reconstruction.py deleted file mode 100644 index bde94ad98..000000000 --- a/test_simple_reconstruction.py +++ /dev/null @@ -1,164 +0,0 @@ -#!/usr/bin/env python3 -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Simple test: Reconstruct conversation using vLLM tokens directly. -No dummy messages needed! -""" - -import asyncio -import sys - -from transformers import AutoTokenizer - -sys.path.insert(0, "/home/felipemello/forge") - -from forge.actors.generator import Generator -from vllm.engine.arg_utils import EngineArgs -from vllm.sampling_params import SamplingParams - - -async def main(): - # Load tokenizer - model_path = "Qwen/Qwen3-1.7B" - tokenizer = AutoTokenizer.from_pretrained(model_path, local_files_only=True) - tokenizer.enable_thinking = ( - True # CRITICAL: Prevent auto-wrapper in generation prompt - ) - - print(f"Model: {model_path}") - print(f"EOS token: {tokenizer.eos_token} (id={tokenizer.eos_token_id})\n") - - # Setup generator - engine_args = EngineArgs( - model=model_path, - tensor_parallel_size=1, - max_model_len=2048, - enable_prefix_caching=True, - ) - - sampling_params = SamplingParams( - temperature=0.7, - top_p=0.9, - max_tokens=100, - logprobs=1, - ) - - generator = await Generator.options( - procs=1, - num_replicas=1, - with_gpus=True, - ).as_service( - engine_args=engine_args, - sampling_params=sampling_params, - ) - - print("✅ Generator ready\n") - - # Build conversation - messages = [ - { - "role": "system", - "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", - }, - {"role": "user", "content": "Hand: 15, Dealer: 10"}, - ] - - # Generate prompt with enable_thinking=True - prompt_text = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=False, - enable_thinking=True, # No auto-wrapper! - ) - - print("=" * 80) - print("GENERATION") - print("=" * 80) - print(f"\nPrompt text:\n{repr(prompt_text)}\n") - - # Generate - completions = await generator.generate.route( - prompt_text, sampling_params=sampling_params - ) - completion = completions[0] - - print(f"Response text:\n{repr(completion.text)}\n") - print(f"Stop reason: {completion.stop_reason}") - - # Get tokens - prompt_ids = completion.prompt_ids.tolist() - token_ids = completion.token_ids.tolist() - - print(f"\nprompt_ids length: {len(prompt_ids)}") - print(f"token_ids length: {len(token_ids)}") - - # Check if truncated - is_truncated = len(token_ids) > 0 and token_ids[-1] != tokenizer.eos_token_id - print(f"Is truncated: {is_truncated}") - - print("\n" + "=" * 80) - print("RECONSTRUCTION (Simple Approach)") - print("=" * 80) - - # Reconstruct: prompt_ids + token_ids (+ EOS if truncated) - if is_truncated: - print("\n✅ Truncated response - adding EOS") - full_conversation = prompt_ids + token_ids + [tokenizer.eos_token_id] - else: - print("\n✅ Complete response - EOS already included") - full_conversation = prompt_ids + token_ids - - print(f"\nFull conversation length: {len(full_conversation)}") - - # Decode - decoded_full = tokenizer.decode(full_conversation) - print(f"\nDecoded conversation:\n{decoded_full}") - - # Verify - messages_with_response = messages + [ - {"role": "assistant", "content": completion.text} - ] - expected_tokens = tokenizer.apply_chat_template( - messages_with_response, - add_generation_prompt=False, - tokenize=True, - enable_thinking=True, - ) - - print("\n" + "=" * 80) - print("VERIFICATION") - print("=" * 80) - print(f"\nReconstructed length: {len(full_conversation)}") - print(f"Expected length: {len(expected_tokens)}") - - if full_conversation == expected_tokens: - print("\n✅✅✅ PERFECT MATCH!") - print("✅ No dummy messages needed!") - print("✅ Just use: prompt_ids + token_ids (+ EOS if truncated)") - else: - print("\n❌ MISMATCH") - # Find first difference - for i in range(min(len(full_conversation), len(expected_tokens))): - if full_conversation[i] != expected_tokens[i]: - print(f"\nFirst diff at position {i}:") - print(f" Reconstructed: {full_conversation[max(0, i-5):i+10]}") - print(f" Expected: {expected_tokens[max(0, i-5):i+10]}") - break - - if len(full_conversation) != len(expected_tokens): - print( - f"\nLength mismatch: {abs(len(full_conversation) - len(expected_tokens))} tokens" - ) - - # Cleanup - await generator.shutdown() - print("\n✅ Done") - - -if __name__ == "__main__": - asyncio.run(main()) diff --git a/test_simple_vllm_v2.py b/test_simple_vllm_v2.py deleted file mode 100644 index 6859bae2a..000000000 --- a/test_simple_vllm_v2.py +++ /dev/null @@ -1,1219 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Multi-turn token accumulation with BASE anchor pattern. - -Features: -- BASE anchor: Tokenize BASE + 1 message (O(N) instead of O(N²)) -- Automatic role headers: Delta extraction includes chat template formatting -- Immediate env obs accumulation -- Finalize validation: Detects tokenization mismatches -- Configurable sanity check modes - -Test cases: -1. Normal rollout (no truncation) -2. vLLM truncation (generation hits max_tokens) -3. Env observation truncation (adding env obs exceeds max_seq_len) -4. Early exit (initial prompt already exceeds max_seq_len) -5. Long env observation (truncate mid-content) -""" - -from enum import Enum -from functools import lru_cache - -import torch -from vllm import LLM, SamplingParams -from vllm.transformers_utils.tokenizer import get_tokenizer - - -def test_normal_rollout(llm, tokenizer, max_seq_len: int, max_turns: int): - """Test rollout with NO truncation (normal case)""" - - print("\n" + "=" * 80) - print("TEST CASE 1: NORMAL ROLLOUT (NO TRUNCATION)") - print("=" * 80) - - messages = [ - { - "role": "system", - "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", - } - ] - - accumulator = TokenAccumulator( - tokenizer=tokenizer, - messages=messages, - max_seq_len=max_seq_len, - eos_token_id=tokenizer.eos_token_id, - sanity_check_mode=SanityCheckMode.STRICT, - ) - - accumulator.add_user_message("Hand: 15, Dealer: 10", check_budget=False) - - sampling_params = SamplingParams( - temperature=0.8, - max_tokens=50, - logprobs=1, - ) - - for turn in range(max_turns): - print(f"\n{'='*60}") - print(f"TURN {turn + 1}") - print(f"{'='*60}") - - remaining = accumulator.get_remaining_budget() - - print(f"\n[Budget Check]") - print(f" Current tokens: {len(accumulator.all_tokens)}") - print(f" Assistant overhead: {accumulator.assistant_overhead}") - print(f" Max seq len: {max_seq_len}") - print(f" Remaining: {remaining}") - - if remaining <= 0: - print(f" ❌ Out of budget!") - break - - prompt_text = accumulator.format_prompt() - - print(f"\n[Generation]") - print(f" Generating...") - - sampling_params.max_tokens = min(remaining, 50) - outputs = llm.generate([prompt_text], sampling_params) - output = outputs[0].outputs[0] - - response_text = output.text - response_tokens = output.token_ids - - response_logprobs = None - if output.logprobs is not None: - response_logprobs = [ - lp[token_id] for lp, token_id in zip(output.logprobs, response_tokens) - ] - - print(f" Response: '{response_text}'") - print(f" Response token_ids: {len(response_tokens)} tokens (content only)") - print(f" Stop reason: {output.stop_reason}") - - success = accumulator.add_assistant_response( - response_text=response_text, - response_token_ids=response_tokens, - response_logprobs=response_logprobs, - ) - - ground_truth_before = tokenizer.apply_chat_template( - accumulator.messages[:-1], add_generation_prompt=False, tokenize=True - ) - ground_truth_after = tokenizer.apply_chat_template( - accumulator.messages, add_generation_prompt=False, tokenize=True - ) - assistant_tokens_added = len(ground_truth_after) - len(ground_truth_before) - - print(f" Assistant tokens added: {assistant_tokens_added}") - print(f" Total tokens now: {len(accumulator.all_tokens)}") - - if success: - print(f" ✅ Generation complete (ends with eos)") - else: - print(f" ⚠️ Generation TRUNCATED") - - print(f"\n[Validation]") - print(f" all_tokens: {len(accumulator.all_tokens)}") - ground_truth = tokenizer.apply_chat_template( - accumulator.messages, add_generation_prompt=False, tokenize=True - ) - print(f" ground_truth: {len(ground_truth)}") - if len(accumulator.all_tokens) == len(ground_truth): - print(f" ✅ PERFECT MATCH!") - else: - print(f" ❌ MISMATCH") - - if not success: - print(f"\n[Episode Truncated]") - break - - game_done = turn >= 2 - if game_done: - print(f"\n[Game Done]") - break - - env_obs = f"Hand: {16 + turn}, Dealer: 10" - print(f"\n[Env Observation]") - print(f" Observation: '{env_obs}'") - - success = accumulator.add_user_message(env_obs, check_budget=True) - - if success: - print(f" ✅ Env obs added successfully") - else: - print(f" ⚠️ Env obs would exceed budget - breaking") - break - - print(f"\n{'='*60}") - print(f"FINAL VALIDATION") - print(f"{'='*60}") - - final_ground_truth = tokenizer.apply_chat_template( - accumulator.messages, add_generation_prompt=False, tokenize=True - ) - - print(f"all_tokens: {len(accumulator.all_tokens)}") - print(f"ground_truth: {len(final_ground_truth)}") - - if len(accumulator.all_tokens) == len(final_ground_truth): - print(f"✅ ✅ ✅ PERFECT MATCH! ✅ ✅ ✅") - else: - print(f"❌ MISMATCH") - print( - f"Difference: {len(final_ground_truth) - len(accumulator.all_tokens)} tokens" - ) - - print(f"\n{'='*60}") - print(f"DECODED CONVERSATION") - print(f"{'='*60}") - decoded = tokenizer.decode(accumulator.all_tokens) - print(decoded) - - print(f"\n{'='*60}") - print("SUMMARY") - print(f"{'='*60}") - print(f"Total tokens: {len(accumulator.all_tokens)}") - print(f"Trainable tokens (mask=1): {sum(accumulator.response_mask)}") - print( - f"Non-trainable tokens (mask=0): {len(accumulator.all_tokens) - sum(accumulator.response_mask)}" - ) - print( - f"Turns completed: {sum(1 for m in accumulator.messages if m['role'] == 'assistant')}" - ) - print(f"Response mask: {accumulator.response_mask}") - - print(f"\n{'='*60}") - print("FINALIZE VALIDATION (VERL pattern)") - print(f"{'='*60}") - if accumulator.finalize(): - print("✅ FINALIZE PASSED - BASE anchor accumulation matches ground truth!") - else: - print("⚠️ FINALIZE WARNING - see details above") - - return accumulator.all_tokens, accumulator.response_mask, accumulator.messages - - -def test_vllm_truncation(llm, tokenizer): - """Test case: vLLM generation hits max_tokens (stop_reason='length')""" - - print("\n" + "=" * 80) - print("TEST CASE 2: vLLM TRUNCATION (generation hits max_tokens)") - print("=" * 80) - print("Setting max_tokens=1 to force mid-word truncation\n") - - messages = [ - { - "role": "system", - "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", - } - ] - - accumulator = TokenAccumulator( - tokenizer=tokenizer, - messages=messages, - max_seq_len=2048, - eos_token_id=tokenizer.eos_token_id, - sanity_check_mode=SanityCheckMode.STRICT, - ) - - accumulator.add_user_message("Hand: 15, Dealer: 10", check_budget=False) - - sampling_params = SamplingParams(temperature=0.8, max_tokens=1, logprobs=1) - - max_turns = 3 - - for turn in range(max_turns): - print(f"\n{'='*60}") - print(f"TURN {turn + 1}") - print(f"{'='*60}") - - remaining = accumulator.get_remaining_budget() - print(f"\n[Budget Check]") - print(f" Remaining: {remaining}") - - if remaining <= 0: - break - - prompt_text = accumulator.format_prompt() - - print(f"\n[Generation]") - print( - f" Generating with max_tokens={sampling_params.max_tokens} (VERY LOW - will truncate)..." - ) - - outputs = llm.generate([prompt_text], sampling_params) - output = outputs[0].outputs[0] - - response_text = output.text - response_tokens = output.token_ids - - response_logprobs = None - if output.logprobs is not None: - response_logprobs = [ - lp[token_id] for lp, token_id in zip(output.logprobs, response_tokens) - ] - - print(f" Response: '{response_text}'") - print(f" Response token_ids: {len(response_tokens)} tokens") - print(f" Stop reason: {output.stop_reason}") - - success = accumulator.add_assistant_response( - response_text=response_text, - response_token_ids=response_tokens, - response_logprobs=response_logprobs, - ) - - print(f" Total tokens now: {len(accumulator.all_tokens)}") - - if not success: - print(f"\n ⚠️ ⚠️ ⚠️ GENERATION TRUNCATED! ⚠️ ⚠️ ⚠️") - print( - f" Last token {response_tokens[-1]} != eos_token_id {tokenizer.eos_token_id}" - ) - print(f" Setting response_mask=0 for truncated response") - print(f" Episode will be marked as truncated") - - print(f"\n[Validation]") - ground_truth = tokenizer.apply_chat_template( - accumulator.messages, add_generation_prompt=False, tokenize=True - ) - print(f" all_tokens: {len(accumulator.all_tokens)}") - print(f" ground_truth: {len(ground_truth)}") - - if len(accumulator.all_tokens) == len(ground_truth): - print(f" ✅ PERFECT MATCH!") - else: - print(f" ❌ MISMATCH") - - if not success: - print(f"\n[Episode Truncated]") - print(f" Breaking episode due to generation truncation") - break - - if turn >= max_turns - 1: - break - - env_obs = f"Hand: {16 + turn}, Dealer: 10" - print(f"\n[Env Observation]") - print(f" Observation: '{env_obs}'") - accumulator.add_user_message(env_obs, check_budget=False) - - print(f"\n{'='*60}") - print(f"FINAL VALIDATION") - print(f"{'='*60}") - - final_ground_truth = tokenizer.apply_chat_template( - accumulator.messages, add_generation_prompt=False, tokenize=True - ) - - print(f"all_tokens: {len(accumulator.all_tokens)}") - print(f"ground_truth: {len(final_ground_truth)}") - - if len(accumulator.all_tokens) == len(final_ground_truth): - print(f"✅ ✅ ✅ PERFECT MATCH! ✅ ✅ ✅") - else: - print(f"❌ MISMATCH") - - print(f"\n{'='*60}") - print(f"DECODED CONVERSATION") - print(f"{'='*60}") - decoded = tokenizer.decode(accumulator.all_tokens) - print(decoded) - - print(f"\n{'='*60}") - print("SUMMARY") - print(f"{'='*60}") - print(f"Total tokens: {len(accumulator.all_tokens)}") - print(f"Trainable tokens (mask=1): {sum(accumulator.response_mask)}") - print( - f"Non-trainable tokens (mask=0): {len(accumulator.all_tokens) - sum(accumulator.response_mask)}" - ) - print( - f"Turns completed: {sum(1 for m in accumulator.messages if m['role'] == 'assistant')}" - ) - print(f"Response mask: {accumulator.response_mask}") - print( - f"\n⚠️ Episode marked as TRUNCATED - would be filtered or accepted based on config" - ) - - print(f"\n{'='*60}") - print("FINALIZE VALIDATION (VERL pattern)") - print(f"{'='*60}") - if accumulator.finalize(): - print("✅ FINALIZE PASSED - BASE anchor accumulation matches ground truth!") - else: - print("⚠️ FINALIZE WARNING - see details above") - - return accumulator.all_tokens, accumulator.response_mask, accumulator.messages - - -def test_env_obs_truncation(llm, tokenizer): - """Test case: Env observation would exceed max_seq_len""" - - print("\n" + "=" * 80) - print("TEST CASE 3: ENV OBSERVATION TRUNCATION (adding env obs exceeds budget)") - print("=" * 80) - print("Setting max_seq_len=75 to force env observation truncation\n") - - messages = [ - { - "role": "system", - "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", - } - ] - - max_seq_len = 75 - accumulator = TokenAccumulator( - tokenizer=tokenizer, - messages=messages, - max_seq_len=max_seq_len, - eos_token_id=tokenizer.eos_token_id, - sanity_check_mode=SanityCheckMode.STRICT, - ) - - accumulator.add_user_message("Hand: 15, Dealer: 10", check_budget=False) - - sampling_params = SamplingParams(temperature=0.8, max_tokens=50, logprobs=1) - max_turns = 3 - - for turn in range(max_turns): - print(f"\n{'='*60}") - print(f"TURN {turn + 1}") - print(f"{'='*60}") - - remaining = accumulator.get_remaining_budget() - - print(f"\n[Budget Check]") - print(f" Current tokens: {len(accumulator.all_tokens)}") - print(f" Max seq len: {max_seq_len}") - print(f" Remaining: {remaining}") - - if remaining <= 0: - print(f" ❌ Out of budget!") - break - - prompt_text = accumulator.format_prompt() - - print(f"\n[Generation]") - print(f" Generating...") - - sampling_params.max_tokens = min(remaining, 50) - outputs = llm.generate([prompt_text], sampling_params) - output = outputs[0].outputs[0] - - response_text = output.text - response_tokens = output.token_ids - - response_logprobs = None - if output.logprobs is not None: - response_logprobs = [ - lp[token_id] for lp, token_id in zip(output.logprobs, response_tokens) - ] - - print(f" Response: '{response_text}'") - print(f" Response token_ids: {len(response_tokens)} tokens") - - success = accumulator.add_assistant_response( - response_text=response_text, - response_token_ids=response_tokens, - response_logprobs=response_logprobs, - ) - - print(f" Total tokens now: {len(accumulator.all_tokens)}") - - if success: - print(f" ✅ Generation complete (ends with eos)") - else: - print(f" ⚠️ Generation TRUNCATED") - - print(f"\n[Validation]") - ground_truth = tokenizer.apply_chat_template( - accumulator.messages, add_generation_prompt=False, tokenize=True - ) - print(f" all_tokens: {len(accumulator.all_tokens)}") - print(f" ground_truth: {len(ground_truth)}") - - if len(accumulator.all_tokens) == len(ground_truth): - print(f" ✅ PERFECT MATCH!") - else: - print(f" ❌ MISMATCH") - - if not success: - print(f"\n[Episode Truncated - Generation]") - break - - game_done = turn >= 2 - if game_done: - print(f"\n[Game Done]") - break - - env_obs = f"Hand: {16 + turn}, Dealer: 10" - print(f"\n[Env Observation]") - print(f" Observation: '{env_obs}'") - - success = accumulator.add_user_message(env_obs, check_budget=True) - - if not success: - print(f"\n ⚠️ ⚠️ ⚠️ ENV OBSERVATION TRUNCATION! ⚠️ ⚠️ ⚠️") - print(f" Env obs would exceed max_seq_len") - print(f" Episode marked as truncated") - break - else: - print(f" ✅ Env obs added successfully") - - print(f"\n{'='*60}") - print(f"FINAL VALIDATION") - print(f"{'='*60}") - - final_ground_truth = tokenizer.apply_chat_template( - accumulator.messages, add_generation_prompt=False, tokenize=True - ) - - print(f"all_tokens: {len(accumulator.all_tokens)}") - print(f"ground_truth: {len(final_ground_truth)}") - - if len(accumulator.all_tokens) == len(final_ground_truth): - print(f"✅ ✅ ✅ PERFECT MATCH! ✅ ✅ ✅") - else: - print(f"❌ MISMATCH") - print( - f"Difference: {len(final_ground_truth) - len(accumulator.all_tokens)} tokens" - ) - - print(f"\n{'='*60}") - print(f"DECODED CONVERSATION") - print(f"{'='*60}") - decoded = tokenizer.decode(accumulator.all_tokens) - print(decoded) - - print(f"\n{'='*60}") - print("SUMMARY") - print(f"{'='*60}") - print(f"Total tokens: {len(accumulator.all_tokens)}") - print(f"Trainable tokens (mask=1): {sum(accumulator.response_mask)}") - print( - f"Non-trainable tokens (mask=0): {len(accumulator.all_tokens) - sum(accumulator.response_mask)}" - ) - print( - f"Turns completed: {sum(1 for m in accumulator.messages if m['role'] == 'assistant')}" - ) - print(f"Response mask: {accumulator.response_mask}") - print( - f"\n⚠️ Episode marked as TRUNCATED - would be filtered or accepted based on config" - ) - - print(f"\n{'='*60}") - print("FINALIZE VALIDATION (VERL pattern)") - print(f"{'='*60}") - if accumulator.finalize(): - print("✅ FINALIZE PASSED - BASE anchor accumulation matches ground truth!") - else: - print("⚠️ FINALIZE WARNING - see details above") - - return accumulator.all_tokens, accumulator.response_mask, accumulator.messages - - -def test_early_exit_budget(llm, tokenizer): - """Test case: Initial prompt already exceeds max_seq_len (early exit)""" - - print("\n" + "=" * 80) - print("TEST CASE 4: EARLY EXIT (initial prompt exceeds budget)") - print("=" * 80) - print("Setting max_seq_len=30 (smaller than initial prompt ~40 tokens)\n") - - messages = [ - { - "role": "system", - "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", - } - ] - - max_seq_len = 30 - accumulator = TokenAccumulator( - tokenizer=tokenizer, - messages=messages, - max_seq_len=max_seq_len, - eos_token_id=tokenizer.eos_token_id, - sanity_check_mode=SanityCheckMode.STRICT, - ) - - accumulator.add_user_message("Hand: 15, Dealer: 10", check_budget=False) - - print(f"{'='*60}") - print(f"CHECKING INITIAL BUDGET") - print(f"{'='*60}") - - print(f"\n[Initial State]") - print(f" Initial tokens: {len(accumulator.all_tokens)}") - - remaining = accumulator.get_remaining_budget() - - print(f"\n[Budget Check]") - print(f" Current tokens: {len(accumulator.all_tokens)}") - print(f" Assistant overhead: {accumulator.assistant_overhead}") - print(f" Max seq len: {max_seq_len}") - print(f" Remaining: {remaining}") - - if remaining <= 0: - print(f"\n ⚠️ ⚠️ ⚠️ EARLY EXIT! ⚠️ ⚠️ ⚠️") - print(f" Initial prompt already exceeds max_seq_len") - print(f" Cannot generate - breaking immediately") - print(f" Episode marked as truncated") - accumulator.is_truncated = True - accumulator.truncation_reason = "max_seq_len" - - print(f"\n{'='*60}") - print(f"FINAL VALIDATION") - print(f"{'='*60}") - - final_ground_truth = tokenizer.apply_chat_template( - accumulator.messages, add_generation_prompt=False, tokenize=True - ) - - print(f"all_tokens: {len(accumulator.all_tokens)}") - print(f"ground_truth: {len(final_ground_truth)}") - - if len(accumulator.all_tokens) == len(final_ground_truth): - print(f"✅ ✅ ✅ PERFECT MATCH! ✅ ✅ ✅") - else: - print(f"❌ MISMATCH") - - print(f"\n{'='*60}") - print(f"DECODED CONVERSATION") - print(f"{'='*60}") - decoded = tokenizer.decode(accumulator.all_tokens) - print(decoded) - - print(f"\n{'='*60}") - print("SUMMARY") - print(f"{'='*60}") - print(f"Total tokens: {len(accumulator.all_tokens)}") - print(f"Trainable tokens (mask=1): {sum(accumulator.response_mask)}") - print( - f"Non-trainable tokens (mask=0): {len(accumulator.all_tokens) - sum(accumulator.response_mask)}" - ) - print( - f"Turns completed: {sum(1 for m in accumulator.messages if m['role'] == 'assistant')}" - ) - print(f"Response mask: {accumulator.response_mask}") - print(f"\n⚠️ Episode marked as TRUNCATED - early exit, no generation possible") - - print(f"\n{'='*60}") - print("FINALIZE VALIDATION (VERL pattern)") - print(f"{'='*60}") - if accumulator.finalize(): - print("✅ FINALIZE PASSED - BASE anchor accumulation matches ground truth!") - else: - print("⚠️ FINALIZE WARNING - see details above") - - return accumulator.all_tokens, accumulator.response_mask, accumulator.messages - - -def test_long_env_obs_truncation(llm, tokenizer): - """Test case: Env observation is very long and gets truncated mid-content""" - - print("\n" + "=" * 80) - print("TEST CASE 5: LONG ENV OBSERVATION (truncate mid-content)") - print("=" * 80) - print("Using short initial prompt, tight budget to truncate env obs in turn 2\n") - - messages = [ - { - "role": "system", - "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", - } - ] - - max_seq_len = 55 - accumulator = TokenAccumulator( - tokenizer=tokenizer, - messages=messages, - max_seq_len=max_seq_len, - eos_token_id=tokenizer.eos_token_id, - sanity_check_mode=SanityCheckMode.DISABLE, - ) - - accumulator.add_user_message("Hand: 15, Dealer: 10", check_budget=False) - - sampling_params = SamplingParams(temperature=0.8, max_tokens=10, logprobs=1) - max_turns = 2 - - for turn in range(max_turns): - print(f"\n{'='*60}") - print(f"TURN {turn + 1}") - print(f"{'='*60}") - - remaining = accumulator.get_remaining_budget() - - print(f"\n[Budget Check]") - print(f" Current tokens: {len(accumulator.all_tokens)}") - print(f" Max seq len: {max_seq_len}") - print(f" Remaining: {remaining}") - - if remaining <= 0: - print(f" ❌ Out of budget!") - break - - prompt_text = accumulator.format_prompt() - - print(f"\n[Generation]") - print(f" Generating...") - - sampling_params.max_tokens = min(remaining, 50) - outputs = llm.generate([prompt_text], sampling_params) - output = outputs[0].outputs[0] - - response_text = output.text - response_tokens = output.token_ids - - response_logprobs = None - if output.logprobs is not None: - response_logprobs = [ - lp[token_id] for lp, token_id in zip(output.logprobs, response_tokens) - ] - - print(f" Response: '{response_text}'") - print(f" Response token_ids: {len(response_tokens)} tokens") - - success = accumulator.add_assistant_response( - response_text=response_text, - response_token_ids=response_tokens, - response_logprobs=response_logprobs, - ) - - print(f" Total tokens now: {len(accumulator.all_tokens)}") - - if success: - print(f" ✅ Generation complete (ends with eos)") - else: - print(f" ⚠️ Generation TRUNCATED") - - if not success: - print(f"\n[Episode Truncated - Generation]") - break - - if turn >= max_turns - 1: - print(f"\n[Max Turns Reached]") - break - - long_obs = f"Turn {turn + 2}: Your hand now has total: {17 + turn}. Dealer still showing: 10 of clubs. Dealer likely has strong hand. Risk of bust is moderate. Make your decision carefully." - print(f"\n[Env Observation]") - print(f" Observation: '{long_obs[:50]}...' ({len(long_obs)} chars)") - - success = accumulator.add_user_message(long_obs, check_budget=True) - - if not success: - print(f"\n ⚠️ ⚠️ ⚠️ ENV OBS EXCEEDS BUDGET! ⚠️ ⚠️ ⚠️") - print(f" Cannot fit full observation") - - remaining_budget = max_seq_len - len(accumulator.all_tokens) - print(f" Remaining budget: {remaining_budget} tokens") - - if remaining_budget > 0: - accumulator.messages.append({"role": "user", "content": long_obs}) - - full_with_obs = tokenizer.apply_chat_template( - accumulator.messages, - add_generation_prompt=False, - tokenize=True, - ) - - obs_tokens = full_with_obs[len(accumulator.all_tokens) :] - print(f" Full env obs would be: {len(obs_tokens)} tokens") - - truncated_obs_tokens = obs_tokens[:remaining_budget] - print( - f" TRUNCATING from {len(obs_tokens)} to {len(truncated_obs_tokens)} tokens" - ) - - accumulator.all_tokens.extend(truncated_obs_tokens) - accumulator.response_mask.extend([0] * len(truncated_obs_tokens)) - accumulator.logprobs.extend([0.0] * len(truncated_obs_tokens)) - - truncated_text = tokenizer.decode(truncated_obs_tokens) - print(f" Truncated text: '{truncated_text[:50]}...'") - - print( - f" ⚠️ Lost {len(obs_tokens) - len(truncated_obs_tokens)} tokens!" - ) - else: - print(f" No budget left - cannot add any tokens") - - accumulator.is_truncated = True - accumulator.truncation_reason = "env_observation_length" - - print(f"\n Cannot generate - no budget left") - print(f" Episode marked as truncated") - break - else: - print( - f" ✅ Env obs added successfully (should not happen with tight budget!)" - ) - break - - print(f"\n{'='*60}") - print(f"FINAL STATE") - print(f"{'='*60}") - - print(f"\nall_tokens: {len(accumulator.all_tokens)}") - - print(f"\n{'='*60}") - print(f"DECODED CONVERSATION (showing truncation)") - print(f"{'='*60}") - decoded = tokenizer.decode(accumulator.all_tokens) - print(decoded) - - print(f"\n{'='*60}") - print("SUMMARY") - print(f"{'='*60}") - print(f"Total tokens: {len(accumulator.all_tokens)}") - print(f"Trainable tokens (mask=1): {sum(accumulator.response_mask)}") - print( - f"Non-trainable tokens (mask=0): {len(accumulator.all_tokens) - sum(accumulator.response_mask)}" - ) - print( - f"Turns completed: {sum(1 for m in accumulator.messages if m['role'] == 'assistant')}" - ) - print(f"First 20 of response_mask: {accumulator.response_mask[:20]}") - print(f"Last 20 of response_mask: {accumulator.response_mask[-20:]}") - print(f"\n⚠️ Episode shows what happens when content is truncated mid-observation") - - print(f"\n{'='*60}") - print("FINALIZE VALIDATION (VERL pattern)") - print(f"{'='*60}") - print("⚠️ Validation disabled for this test (mid-content truncation)") - if accumulator.finalize(): - print("✅ FINALIZE PASSED (skipped)") - else: - print("⚠️ FINALIZE WARNING - see details above") - - return accumulator.all_tokens, accumulator.response_mask, accumulator.messages - - -def test_chat_template_overhead(llm, tokenizer): - """Test case: Check if chat template overhead causes budget overruns""" - - print("\n" + "=" * 80) - print("TEST CASE 6: CHAT TEMPLATE OVERHEAD (verify budget accounting)") - print("=" * 80) - print("Test that remaining_budget accounts for role header tokens\n") - - messages = [ - { - "role": "system", - "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", - } - ] - - max_seq_len = 200 - accumulator = TokenAccumulator( - tokenizer=tokenizer, - messages=messages, - max_seq_len=max_seq_len, - eos_token_id=tokenizer.eos_token_id, - sanity_check_mode=SanityCheckMode.STRICT, - ) - - accumulator.add_user_message("Hand: 15, Dealer: 10", check_budget=False) - - sampling_params = SamplingParams(temperature=0.8, max_tokens=50, logprobs=1) - max_turns = 5 - - for turn in range(max_turns): - print(f"\n{'='*60}") - print(f"TURN {turn + 1}") - print(f"{'='*60}") - - remaining = accumulator.get_remaining_budget() - - print(f"\n[Budget Check]") - print(f" Current tokens: {len(accumulator.all_tokens)}") - print(f" Assistant overhead: {accumulator.assistant_overhead}") - print(f" Max seq len: {max_seq_len}") - print(f" Remaining budget: {remaining}") - print(f" → Will pass max_tokens={remaining} to vLLM") - - if remaining <= 0: - print(f" ❌ Out of budget!") - accumulator.is_truncated = True - accumulator.truncation_reason = "max_seq_len" - break - - prompt_text = accumulator.format_prompt() - - print(f"\n[Generation]") - print(f" Generating with max_tokens={remaining}...") - - sampling_params.max_tokens = remaining - outputs = llm.generate([prompt_text], sampling_params) - output = outputs[0].outputs[0] - - response_text = output.text - response_tokens = output.token_ids - - response_logprobs = None - if output.logprobs is not None: - response_logprobs = [ - lp[token_id] for lp, token_id in zip(output.logprobs, response_tokens) - ] - - print(f" vLLM generated: {len(response_tokens)} content tokens") - print(f" Response text: '{response_text[:50]}...'") - - # Now check what happens when we add it - tokens_before = len(accumulator.all_tokens) - - success = accumulator.add_assistant_response( - response_text=response_text, - response_token_ids=response_tokens, - response_logprobs=response_logprobs, - ) - - tokens_after = len(accumulator.all_tokens) - tokens_added = tokens_after - tokens_before - - print(f"\n[After Adding Response]") - print(f" vLLM content tokens: {len(response_tokens)}") - print(f" Total tokens added (with headers): {tokens_added}") - print(f" Role header overhead: {tokens_added - len(response_tokens)}") - print(f" Total tokens now: {tokens_after}") - print(f" Max allowed: {max_seq_len}") - - if tokens_after > max_seq_len: - print(f" ❌❌❌ BUDGET EXCEEDED! ❌❌❌") - print(f" Overrun by: {tokens_after - max_seq_len} tokens") - print(f"\n ROOT CAUSE: remaining_budget doesn't account for role headers!") - print(f" We passed max_tokens={remaining} to vLLM") - print(f" vLLM generated {len(response_tokens)} tokens") - print( - f" But chat template added {tokens_added - len(response_tokens)} header tokens" - ) - print( - f" Result: {tokens_before} + {tokens_added} = {tokens_after} > {max_seq_len}" - ) - return False - else: - print(f" ✅ Within budget ({tokens_after} <= {max_seq_len})") - - if not success: - print(f"\n[Episode Truncated - Generation]") - break - - game_done = turn >= max_turns - 1 - if game_done: - print(f"\n[Max Turns Reached]") - break - - env_obs = f"Hand: {16 + turn}, Dealer: 10" - print(f"\n[Env Observation]") - print(f" Observation: '{env_obs}'") - - success = accumulator.add_user_message(env_obs, check_budget=True) - - if not success: - print(f" ⚠️ Env obs would exceed budget - breaking") - break - else: - print(f" ✅ Env obs added successfully") - - print(f"\n{'='*60}") - print(f"FINAL CHECK") - print(f"{'='*60}") - - print(f"Final token count: {len(accumulator.all_tokens)}") - print(f"Max seq len: {max_seq_len}") - - if len(accumulator.all_tokens) <= max_seq_len: - print(f"✅ ✅ ✅ BUDGET RESPECTED! ✅ ✅ ✅") - print(f"The budget calculation correctly accounts for chat template overhead") - else: - print(f"❌ BUDGET VIOLATED!") - print(f"Exceeded by: {len(accumulator.all_tokens) - max_seq_len} tokens") - - print(f"\n{'='*60}") - print(f"DECODED CONVERSATION") - print(f"{'='*60}") - decoded = tokenizer.decode(accumulator.all_tokens) - print(decoded) - - print(f"\n{'='*60}") - print("SUMMARY") - print(f"{'='*60}") - print(f"Total tokens: {len(accumulator.all_tokens)}") - print(f"Trainable tokens (mask=1): {sum(accumulator.response_mask)}") - print( - f"Non-trainable tokens (mask=0): {len(accumulator.all_tokens) - sum(accumulator.response_mask)}" - ) - print( - f"Turns completed: {sum(1 for m in accumulator.messages if m['role'] == 'assistant')}" - ) - - if len(accumulator.all_tokens) <= max_seq_len: - return True - else: - return False - - -def test_prefix_vs_direct(llm, tokenizer): - """Compare prefix matching (current) vs direct extraction (other libraries).""" - - print("\n" + "=" * 80) - print("TEST CASE 7: PREFIX MATCHING vs DIRECT EXTRACTION") - print("=" * 80) - print("Comparing our approach vs industry standard (TRL, VERL, etc.)\n") - - messages = [ - { - "role": "system", - "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", - }, - {"role": "user", "content": "Hand: 15, Dealer: 10"}, - ] - - prompt = tokenizer.apply_chat_template( - messages, add_generation_prompt=True, tokenize=False - ) - - sampling_params = SamplingParams(temperature=0.0, max_tokens=5, logprobs=1) - outputs = llm.generate([prompt], sampling_params) - output = outputs[0].outputs[0] - - print("=" * 80) - print("APPROACH 1: PREFIX MATCHING (OUR CURRENT IMPLEMENTATION)") - print("=" * 80) - - # Simulate what TokenAccumulator.add_assistant_response() does - BASE_CHAT_HISTORY = [ - { - "role": "system", - "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", - }, - {"role": "user", "content": ""}, - ] - base_tokens_wo_gen = tokenizer.apply_chat_template( - BASE_CHAT_HISTORY, - add_generation_prompt=False, - tokenize=True, - ) - base_len_wo_gen = len(base_tokens_wo_gen) - - # Re-tokenize the full assistant message - temp_messages = [ - *BASE_CHAT_HISTORY, - {"role": "assistant", "content": output.text}, - ] - full_with_assistant = tokenizer.apply_chat_template( - temp_messages, - add_generation_prompt=False, - tokenize=True, - ) - assistant_tokens_prefix = full_with_assistant[base_len_wo_gen:] - - print(f" 1. Get vLLM output.token_ids: {output.token_ids}") - print(f" Decoded: '{tokenizer.decode(output.token_ids)}'") - print(f" 2. ❌ IGNORE those token_ids!") - print(f" 3. Re-tokenize assistant message via chat template") - print(f" 4. Extract via prefix matching: {assistant_tokens_prefix}") - print(f" Length: {len(assistant_tokens_prefix)} tokens") - print(f" Decoded: '{tokenizer.decode(assistant_tokens_prefix)}'") - print(f"\n ⚠️ PROBLEM: We called tokenizer.apply_chat_template() unnecessarily!") - - print("\n" + "=" * 80) - print("APPROACH 2: DIRECT EXTRACTION (TRL, VERL, PRIME-RL, etc.)") - print("=" * 80) - - # Get role header tokens (pre-compute once at init) - base_empty = [ - {"role": "system", "content": ""}, - {"role": "user", "content": ""}, - ] - base_empty_tokens = tokenizer.apply_chat_template( - base_empty, - add_generation_prompt=False, - tokenize=True, - ) - - with_empty_assistant = base_empty + [{"role": "assistant", "content": ""}] - with_assistant_tokens = tokenizer.apply_chat_template( - with_empty_assistant, - add_generation_prompt=False, - tokenize=True, - ) - - role_header_tokens = with_assistant_tokens[len(base_empty_tokens) :] - - # Combine: role_header + content_tokens (from vLLM) - assistant_tokens_direct = role_header_tokens + output.token_ids - - print(f" 1. Get vLLM output.token_ids: {output.token_ids}") - print(f" Decoded: '{tokenizer.decode(output.token_ids)}'") - print(f" 2. ✅ USE those token_ids directly!") - print(f" 3. Get pre-computed role header: {role_header_tokens}") - print(f" Decoded: '{tokenizer.decode(role_header_tokens)}'") - print(f" 4. Combine: role_header + content_tokens") - print(f" Result: {assistant_tokens_direct}") - print(f" Length: {len(assistant_tokens_direct)} tokens") - print(f" Decoded: '{tokenizer.decode(assistant_tokens_direct)}'") - print(f"\n ✅ BENEFIT: Only 1 tokenization call (at init), not every turn!") - - print("\n" + "=" * 80) - print("COMPARISON") - print("=" * 80) - - if assistant_tokens_prefix == assistant_tokens_direct: - print(f" ✅ Both approaches give SAME result") - print(f" ✅ Length: {len(assistant_tokens_prefix)} tokens") - else: - print(f" ❌ MISMATCH!") - print(f" Prefix: {assistant_tokens_prefix}") - print(f" Direct: {assistant_tokens_direct}") - - print(f"\n Tokenization calls:") - print(f" Prefix matching: O(N) - one call per turn") - print(f" Direct extraction: O(1) - pre-computed at init") - - print("\n" + "=" * 80) - print("BUDGET CALCULATION FIX") - print("=" * 80) - - # Current (wrong) - test_msgs = [{"role": "user", "content": "x"}] - without_gen = tokenizer.apply_chat_template( - test_msgs, add_generation_prompt=False, tokenize=True - ) - with_gen = tokenizer.apply_chat_template( - test_msgs, add_generation_prompt=True, tokenize=True - ) - gen_prompt_len = len(with_gen) - len(without_gen) - - # Correct - assistant_overhead = len(role_header_tokens) - - print(f" ❌ Current: gen_prompt_len = {gen_prompt_len}") - print(f" (Only counts prompt-side '<|im_start|>assistant\\n')") - print(f"\n ✅ Correct: assistant_overhead = {assistant_overhead}") - print(f" (Counts full role header + EOS)") - print(f"\n Difference: {assistant_overhead - gen_prompt_len} tokens") - print(f" This is why we exceed max_seq_len!") - - print("\n" + "=" * 80) - print("FULL CONVERSATION EXAMPLE") - print("=" * 80) - - # Show a full multi-turn example - example_messages = [ - { - "role": "system", - "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", - }, - {"role": "user", "content": "Hand: 15, Dealer: 10"}, - {"role": "assistant", "content": output.text}, - {"role": "user", "content": "Hand: 16, Dealer: 10"}, - {"role": "assistant", "content": output.text}, - ] - - full_conversation_tokens = tokenizer.apply_chat_template( - example_messages, - add_generation_prompt=False, - tokenize=True, - ) - - full_decoded = tokenizer.decode(full_conversation_tokens) - - print(f"Message sequence: system -> user -> assistant -> user -> assistant") - print(f"Total tokens: {len(full_conversation_tokens)}") - print(f"\nDecoded:\n{full_decoded}") - - print("\n" + "=" * 80) - print("RECOMMENDATION") - print("=" * 80) - print(" 1. Use direct extraction (like all 6 libraries we studied)") - print( - " 2. Fix budget calculation: use assistant_overhead instead of gen_prompt_len" - ) - print(" 3. Performance: 3x fewer tokenization calls") - - return True - - -def main(): - print("Loading model and tokenizer...") - model_name = "Qwen/Qwen3-1.7B" - - llm = LLM( - model=model_name, - tensor_parallel_size=1, - gpu_memory_utilization=0.3, - max_model_len=4096, - enable_prefix_caching=True, - ) - - tokenizer = get_tokenizer(model_name) - - print("✅ Model loaded!\n") - - print("\n" + "#" * 80) - print("# RUNNING ALL 7 TEST CASES (V2 - SIMPLIFIED)") - print("#" * 80) - - test_normal_rollout( - llm=llm, - tokenizer=tokenizer, - max_seq_len=2048, - max_turns=3, - ) - - test_vllm_truncation( - llm=llm, - tokenizer=tokenizer, - ) - - test_env_obs_truncation( - llm=llm, - tokenizer=tokenizer, - ) - - test_early_exit_budget( - llm=llm, - tokenizer=tokenizer, - ) - - test_long_env_obs_truncation( - llm=llm, - tokenizer=tokenizer, - ) - - # NEW: Test chat template overhead - budget_ok = test_chat_template_overhead( - llm=llm, - tokenizer=tokenizer, - ) - - # NEW: Compare prefix vs direct - test_prefix_vs_direct( - llm=llm, - tokenizer=tokenizer, - ) - - print("\n" + "#" * 80) - print("# ALL 7 TESTS COMPLETED") - print("#" * 80) - - if not budget_ok: - print("\n⚠️ CRITICAL: Chat template overhead causes budget violations!") - print("This explains why episodes exceed max_seq_len in production") - else: - print("\n✅ All budget checks passed") - - -if __name__ == "__main__": - main() diff --git a/test_vllm_tokens_direct.py b/test_vllm_tokens_direct.py deleted file mode 100644 index 591d73da6..000000000 --- a/test_vllm_tokens_direct.py +++ /dev/null @@ -1,300 +0,0 @@ -#!/usr/bin/env python3 -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the BSD-style license found in the -# LICENSE file in the root directory of this source tree. - -""" -Test script to verify vLLM returns prompt_ids with role headers included. - -This tests the hypothesis that we can use vLLM's token_ids directly -without re-applying chat_template. -""" - -import asyncio -import sys - -from transformers import AutoTokenizer - -# Add forge to path -sys.path.insert(0, "/home/felipemello/forge") - -from forge.actors.generator import Generator -from vllm.engine.arg_utils import EngineArgs -from vllm.sampling_params import SamplingParams - - -def print_section(title): - print("\n" + "=" * 5) - print(title) - print("=" * 5) - - -async def main(): - # Load tokenizer (same as blackjack) - model_path = "Qwen/Qwen3-1.7B" - tokenizer = AutoTokenizer.from_pretrained( - model_path, - local_files_only=True, # Use cached files only - ) - - # CRITICAL: Enable thinking to prevent auto-wrapping - tokenizer.enable_thinking = True - - print_section("TOKENIZER INFO") - print(f"Model: {model_path}") - print(f"EOS token: {tokenizer.eos_token} (id={tokenizer.eos_token_id})") - print(f"PAD token: {tokenizer.pad_token} (id={tokenizer.pad_token_id})") - print(f"Enable thinking: {tokenizer.enable_thinking}") - - # Setup generator - print_section("SETTING UP GENERATOR") - engine_args = EngineArgs( - model=model_path, - tensor_parallel_size=1, - max_model_len=2048, - enable_prefix_caching=True, - ) - - sampling_params = SamplingParams( - temperature=0.7, - top_p=0.9, - max_tokens=100, - logprobs=1, # Request logprobs - ) - - generator = await Generator.options( - procs=1, - num_replicas=1, - with_gpus=True, - ).as_service( - engine_args=engine_args, - sampling_params=sampling_params, - ) - - print("✅ Generator ready") - - # Build conversation manually - print_section("TEST 1: SIMPLE CONVERSATION") - messages = [ - { - "role": "system", - "content": "You are an expert BlackJack player. Output only 'HIT' or 'STAND'.", - }, - {"role": "user", "content": "Hand: 15, Dealer: 10"}, - ] - - # Apply chat template to get prompt text - prompt_text = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=False, - enable_thinking=True, # Prevent auto-wrapper - ) - - print("\n[Prompt Text]") - print(repr(prompt_text)) - - # Tokenize locally to see what we expect - local_tokens = tokenizer.apply_chat_template( - messages, - add_generation_prompt=True, - tokenize=True, - enable_thinking=True, # Prevent auto-wrapper - ) - - print(f"\n[Local Tokenization]") - print(f"Total tokens: {len(local_tokens)}") - print(f"First 20 tokens: {local_tokens[:20]}") - - # Generate with vLLM - print("\n[Calling vLLM...]") - - completions = await generator.generate.route( - prompt_text, # Pass prompt directly, not as list - sampling_params=sampling_params, - ) - print(f"Type of completions: {type(completions)}") - print(f"Length: {len(completions)}") - completion = completions[0] # First completion - - print_section("VLLM RESPONSE") - print(f"\n[Response Text]") - print(repr(completion.text)) - print(f"\n[Stop Reason]") - print(completion.stop_reason) - - # Inspect prompt_ids - print_section("PROMPT_IDS (from vLLM)") - prompt_ids = completion.prompt_ids.tolist() - print(f"Length: {len(prompt_ids)}") - print(f"First 20 tokens: {prompt_ids[:20]}") - print(f"Last 10 tokens: {prompt_ids[-10:]}") - - # Compare with local tokenization - print("\n[Comparison with Local Tokenization]") - if prompt_ids == local_tokens: - print("✅ PERFECT MATCH! prompt_ids == local_tokens") - else: - print(f"❌ MISMATCH!") - print(f" vLLM length: {len(prompt_ids)}") - print(f" Local length: {len(local_tokens)}") - if len(prompt_ids) == len(local_tokens): - # Find first difference - for i, (a, b) in enumerate(zip(prompt_ids, local_tokens)): - if a != b: - print(f" First diff at position {i}: vLLM={a}, local={b}") - break - - # Decode prompt_ids to verify it includes role headers - print("\n[Decoded prompt_ids]") - decoded_prompt = tokenizer.decode(prompt_ids) - print(repr(decoded_prompt)) - - # Inspect token_ids (generated content) - print_section("TOKEN_IDS (generated by vLLM)") - token_ids = completion.token_ids.tolist() - print(f"Length: {len(token_ids)}") - print(f"Tokens: {token_ids[:50] if len(token_ids) > 50 else token_ids}") - - # Decode token_ids - print("\n[Decoded token_ids (raw generation)]") - decoded_generation = tokenizer.decode(token_ids) - print(repr(decoded_generation)) - - # Check if last token is EOS - print("\n[Truncation Check]") - if len(token_ids) > 0: - last_token = token_ids[-1] - is_eos = last_token == tokenizer.eos_token_id - print(f"Last token: {last_token}") - print(f"EOS token: {tokenizer.eos_token_id}") - print(f"Is EOS: {is_eos}") - if not is_eos: - print("⚠️ Generation was TRUNCATED (no EOS)") - else: - print("✅ Generation completed normally (has EOS)") - - # Now test: Can we extract role headers? - print_section("EXTRACTING ROLE HEADERS") - - # Method 1: Use a dummy conversation to get header/footer - print("\n[Method: Dummy Conversation with enable_thinking=True]") - dummy_messages = [ - {"role": "system", "content": ""}, - {"role": "user", "content": ""}, - {"role": "assistant", "content": "X"}, # Plain content, no think tags - ] - - base_tokens = tokenizer.apply_chat_template( - dummy_messages[:2], - add_generation_prompt=True, - tokenize=True, - enable_thinking=True, # Prevent auto-wrapper - ) - print( - f"Base (sys+user+gen_prompt) decoded:\n{repr(tokenizer.decode(base_tokens))}\n" - ) - - full_tokens = tokenizer.apply_chat_template( - dummy_messages, - add_generation_prompt=False, - tokenize=True, - enable_thinking=True, # Prevent auto-wrapper - ) - print( - f"Full (sys+user+assistant) decoded:\n{repr(tokenizer.decode(full_tokens))}\n" - ) - - # Extract assistant portion - assistant_full = full_tokens[len(base_tokens) :] - print(f"Assistant full decoded:\n{repr(tokenizer.decode(assistant_full))}\n") - print(f"Assistant full tokens: {assistant_full}") - - # Find where "X" is - content_tokens = tokenizer.encode("X", add_special_tokens=False) - print(f"\nContent tokens (just 'X'): {content_tokens}") - - # Find content position - found = False - for i in range(len(assistant_full) - len(content_tokens) + 1): - if assistant_full[i : i + len(content_tokens)] == content_tokens: - role_header = assistant_full[:i] - role_footer = assistant_full[i + len(content_tokens) :] - print(f"\n✅ Found content at position {i}") - print(f"\nRole header ({len(role_header)} tokens):") - print(f" Tokens: {role_header}") - print(f" Decoded: {repr(tokenizer.decode(role_header))}") - print(f"\nRole footer ({len(role_footer)} tokens):") - print(f" Tokens: {role_footer}") - print(f" Decoded: {repr(tokenizer.decode(role_footer))}") - found = True - break - - if not found: - print("❌ Could not find content in assistant tokens") - print(f"Searching for: {content_tokens}") - print(f"In: {assistant_full}") - - # Test: Combine header + vLLM tokens + footer - if found: - print_section("TESTING: header + vLLM tokens + footer") - combined = role_header + token_ids + role_footer - print(f"\nCombined length: {len(combined)}") - print(f"Combined tokens (first 30): {combined[:30]}") - - # Decode combined - decoded_combined = tokenizer.decode(combined) - print(f"\n[Decoded Combined]") - print(repr(decoded_combined)) - - # Now add to full conversation - print_section("FULL CONVERSATION RECONSTRUCTION") - full_conversation = prompt_ids + combined - print(f"Full length: {len(full_conversation)}") - - decoded_full = tokenizer.decode(full_conversation) - print(f"\n[Decoded Full Conversation]") - print(decoded_full) - - # Verify against expected format - messages_with_response = messages + [ - {"role": "assistant", "content": completion.text} - ] - expected_tokens = tokenizer.apply_chat_template( - messages_with_response, - add_generation_prompt=False, - tokenize=True, - enable_thinking=True, # Prevent auto-wrapper - ) - - print(f"\n[Verification]") - print(f"Reconstructed length: {len(full_conversation)}") - print(f"Expected length: {len(expected_tokens)}") - - if full_conversation == expected_tokens: - print("✅✅✅ PERFECT MATCH! We can use vLLM tokens directly!") - else: - print("❌ Mismatch - need to investigate") - # Find first difference - min_len = min(len(full_conversation), len(expected_tokens)) - for i in range(min_len): - if full_conversation[i] != expected_tokens[i]: - print(f" First diff at position {i}:") - print(f" Reconstructed: {full_conversation[max(0,i-5):i+10]}") - print(f" Expected: {expected_tokens[max(0,i-5):i+10]}") - break - if len(full_conversation) != len(expected_tokens): - print( - f" Length mismatch by {abs(len(full_conversation) - len(expected_tokens))} tokens" - ) - - # Cleanup - print_section("CLEANUP") - await generator.shutdown() - print("✅ Done") - - -if __name__ == "__main__": - asyncio.run(main()) From 46ea3f5b884d6568437cba2570e5d24796f735f0 Mon Sep 17 00:00:00 2001 From: Felipe Mello Date: Thu, 20 Nov 2025 14:17:09 -0800 Subject: [PATCH 11/11] nit --- .claude/settings.local.json | 19 ------------------- src/forge/actors/reference_model.py | 7 +++++++ 2 files changed, 7 insertions(+), 19 deletions(-) delete mode 100644 .claude/settings.local.json diff --git a/.claude/settings.local.json b/.claude/settings.local.json deleted file mode 100644 index 7d7137bcd..000000000 --- a/.claude/settings.local.json +++ /dev/null @@ -1,19 +0,0 @@ -{ - "permissions": { - "allow": [ - "Bash(find:*)", - "Bash(python:*)", - "Bash(conda activate:*)", - "Bash(conda env config vars:*)", - "Bash(timeout 5 bash:*)", - "Bash(curl:*)", - "Bash(lsof:*)", - "Bash(xargs:*)", - "Bash(test:*)", - "Bash(python3:*)", - "Bash(nvidia-smi:*)" - ], - "deny": [], - "ask": [] - } -} diff --git a/src/forge/actors/reference_model.py b/src/forge/actors/reference_model.py index d5c0769ff..306a50f26 100644 --- a/src/forge/actors/reference_model.py +++ b/src/forge/actors/reference_model.py @@ -136,6 +136,13 @@ async def forward( Args: input_ids: Input token ids [batch, seq_len] return_logprobs: Whether to return logprobs + return_logprobs flag significantly impacts the amount of data transferred to the caller: + - When False: Returns logits with shape [group_size, req + res_length, vocab_size]. + This includes the full vocabulary distribution for each token position. + + - When True: Returns log probabilities with shape [group_size, req_length]. + This only includes probabilities for the request tokens, significantly reducing memory + usage and transfer overhead. loss_mask: Optional mask for which positions to compute logprobs [batch, seq_len] """ # Record reference model metrics